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Why Did Johnson & Johnson Cut the Size of Its Coronavirus Vaccine Trial? – The Motley Fool
Posted: January 3, 2021 at 9:58 pm
Johnson & Johnson (NYSE:JNJ) is trailing the leaders in the coronavirus vaccine race, but the healthcare giant is approaching the finish line, thanks to cutting the size of its phase 3 clinical trial. In this video from Motley Fool Live, recorded on Dec. 21, Corinne Cardina, bureau chief of healthcare and cannabis, and Fool.com contributor Brian Orelli discuss the implications of the smaller clinical trial. They also talk about whether it makes sense to invest in Johnson & Johnson specifically for its vaccine candidate.
Corrine Cardina: So Johnson & Johnson announced that they have completed enrollment for their trial, for their one-dose vaccine candidate. They actually ended up lowering the target number of participants in the study. What drove that decision and does it have any implications, Brian?
Brian Orelli: Yes. They were planning for 60,000 patients and then they lowered it to 45,000 patients. This is an event-driven clinical trial. Most clinical trials are time-driven. If you think of something like psoriasis, rheumatoid arthritis, you treat for a certain amount of time and then at the end of that time, you see whether the symptoms improved. Events-driven trials are measuring a certain event. So in the case of a vaccine, that's infections. Cancer trials are also usually run as event-driven clinical trials, and then you're looking at survival or progression of the disease. You run the trial, you count the number of events, and the trial is blinded so you don't know whether those are occurring in the placebo group or in the treatment group. Then after you get to a certain number of events, then you unblind it, and look and see do these people get treatment or do they get vaccines.
If the infection rate is higher, which it is, than when they first started the clinical trial. Then trials can be smaller because the number of events will happen sooner. If it is a very rare event, then you need more patients than if it is a more likely event. Then also, if the efficacy is higher, then the trials can be smaller. If you were looking at 200 events, and it was going to be 90 and 110, you don't know whether that's necessarily a difference, but because other vaccines were so good, they may have also decided that they're more likely to get a bigger separation, it's going to be the 190 and 10 out of 200. The breakdown is pretty obvious if the vaccines work.
Cardina: Definitely. So when should we look for data from Johnson & Johnson's phase 3 trial? Do you have any estimates for timeline on regulatory submission?
Orelli: Yeah. The interim data Johnson & Johnson have said, they expect the data by the end of January. But again, it's event-driven, so it's going to depend on when people actually get infected and whether they're going to get infected in the placebo group or the vaccine group. If that happens, then they're planning on submitting, the emergency use the authorization to the FDA in February, and they'll do other countries in parallel. I think they probably need some more additional safety data. That's why they can't quite do it at the end of January. Then it will take a few weeks for the FDA to review it. They didn't say when in February they would be ready, so it could be as early as they could get approved or authorized as early as late February, and maybe as late as the second half of March.
Cardina: Definitely. One thing investors should know is that Johnson & Johnson has pledged not to profit on this vaccine during the pandemic. How does that factor into any sort of investment decision into Johnson & Johnson?
Orelli: It goes back to that same immunity question. We just don't know how long the vaccine is going to last. If it's a one and done, there's enough herd immunity that the virus goes away, then obviously they're not going to benefit at all. If it requires that we get a booster every year, four years, five years, to 10 years, then it will obviously benefit a little bit. Johnson & Johnson is huge, well diversified. I wouldn't invest for the coronavirus, but it doesn't mean you shouldn't invest in Johnson & Johnson if you're looking for a solid diversified healthcare investment with a solid dividend that just keeps going up.
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Why Did Johnson & Johnson Cut the Size of Its Coronavirus Vaccine Trial? - The Motley Fool
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Tech That Will Change Your Life in 2021 – The Wall Street Journal
Posted: at 9:44 pm
A pandemic that ravaged the world and accelerated the digital transformation of, well, everything? Not even the best of futurists or Magic 8 ball-shaking psychics could have predicted the year that was 2020. And yet while we may have missed the biggest news, our predictions for what would occur in the tech world held up decently. (OK, fine, we didnt think Quibi would die that quickly.)
Now, 2020 has become the lens through which all our 2021 predictions are glimpsed. As we continue to live in a pandemic-fighting world, innovators will aim tech solutions at our personal and professional lives, from at-home streaming movie debuts to an overdue evolutionary leap of the laptop. But we will also strive to reach a new normal, and youll see technology helping us there, too, from new hybrid work practices to high-tech masks. And accompanying each new product or service: yet another monthly subscription fee.
Now that weve rung in the new year, heres what to look for.
Masks, webcams and sanitizers for our bodies... and our gadgets. The pandemic sparked a reliance on things our 2019 selves couldnt ever have imagined. With marketers keen to capitalize on the new interest (and anxiety), 2021 will likely be full of new gizmos that boldly promise to improve it all.
One key area: better webcams for our constant video calling. Samsung has already announced that its forthcoming Galaxy smartphone, expected in early 2021, will improve video recording and calling. We anticipate laptop makers will do the same and finally ditch their crappy, low-resolution webcams.
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Tech That Will Change Your Life in 2021 - The Wall Street Journal
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"Diversity" Nonsense Cost Tens of Thousands of Lives – Reason
Posted: at 9:41 pm
CNBC in September (but I just saw this today): "One of the developers in the lead for a vaccine to prevent Covid-19, is slowing enrollment slightly in its large clinical trial to ensure it has sufficient representation of minorities most at risk for the disease, its chief executive said."
This is particularly egregious because apparently Moderna felt the need to ensure sufficient representation of Hispanic Americans. Even if you buy the dubious notion that there is a significant chance that vaccines will have significantly different effects by "race," what race are Hispanics supposed to be, exactly? The average American Hispanic is about 3/4 European by descent, based on DNA studies. Essentially, then, Moderna allowed tens of thousands of people to die to ensure that "enough" white people who happen to have Spanish-speaking ancestors were included.
Like many stupidities, the very unscientific focus in biomedical research on having subjects that match official American racial categories is the product of government policy. [ADDED: To be more explicit, Moderna was following FDA rules mandating that the clinical trials have diverse subjects, with diversity based on the scientifically arbitrary racial and ethnic classifications established by the Office of Management and Budget in 1977 for civil rights enforcement purposes. At the time, the OMB warned that the "classifications should not be interpreted as being scientific or anthropological in nature." This did not stop the FDA (and NIH) from institutionalizing them into medical and scientific research. That said, Moderna likely went beyond the minimum that the FDA would accept to avoid outrage from those who insist on something like proportional representation.]
Even if, unlike me, you believe in "race" as a biological concept likely to have significant medical consequences, our American civil rights/affirmative action categories don't make any sense in that regard For example, we put Caucasian people from India in the same "racial" category as East Asians such as Chinese and Austronesians such as Filipinos. Indians and most Filipinos are not genetically close to East Asians, but are 40% of the "Asian American" population. When medical statistics are reported about "Asian Americans," we have no idea how things broke down among Indians, Chinese, Filipinos, and other groups, or even whether and to what extent the different groups were represented.
A chapter of my in-progress book on American racial classification (preview here) will discuss this in detail, but a shorter version can be found here. [BTW, if we have any readers with relevant medical/scientific expertise who would be interested in "peer reviewing" my chapter, please let me know.]
Serious question: Why did I only hear about this today? Why wasn't there mass outrage when this was reported in September?
[cross-posted on Instapundit]
UPDATE: Some readers have questioned where I got the notion that American Hispanics are, on average, mostly European in origin. The answer is from this study, published in the American Journal of Human Genetics: "On average, we estimate that Latinos in the US carry 18.0% Native American ancestry, 65.1% European ancestry, and 6.2% African ancestry." That's a bit off from the 3/4 I cited but:
(a) those figures add up to only 90%, the rest is assumedly unknown, so if you add 10% or so to each, you get up to 71.5%. Maybe it's a bit lower, maybe a bit higher. And
(b) then you have to consider the fact that the study uses the "Latino" category, whereas I (and FDA-approved studies like Moderna's) use "Hispanic." Hispanic Americans include non-Latinos whose ancestors (or themselves) immigrated from Spain, and who are 100% or so European in origin. Plus, you have self-described "Hispanos," Americans in the Southwest descended from Mexicans who lived in the territories conquered by the US in 1848. Their origins are overwhelmingly Spanish, and they generally don't consider themselves Latinos, but would likely identify themselves as "Hispanic." So between Spanish immigrants and their descendants and Hispanos add a percentage point or two, and you get that the average self-identified Hispanic American is "about 3/4" European by descent. If someone is aware of alternative estimates published in scientific journals, please let me know.
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"Diversity" Nonsense Cost Tens of Thousands of Lives - Reason
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CDC hopes to double the number of coronavirus samples checked for new mutations – ABC17News.com
Posted: at 9:40 pm
The US Centers for Disease Control and Prevention hopes to more than double the number of coronavirus genomes sequenced to watch for new mutations in the US over the next two weeks, a top official said Sunday.
The CDC is now sequencing about 3,000 samples a week and hopes to more than double that to about 6,500 per week, according to Dr. Gregory Armstrong, director of the Office of Advanced Molecular Detection at the CDCs National Center for Emerging and Zoonotic Infectious Diseases.
Scientists sequence the genome the entire genetic map of the virus to find mutations that could affect how the virus spreads.
British scientists found a new variant of the virus was spreading there and say the pattern of mutations makes it more easily transmitted, although it does not appear to cause more severe disease.
Its now been found in at least 37 countries, including in the US, where cases have been identified in California, Colorado and Florida.
Its important that we monitor the virus and that we be able to pick up these trends that have implications for public health and clinical medicine, Armstrong told CNN.
To ramp up the sequencing, the CDC gave about $15 million to state health labs in December. In September and December CDC granted about $8 million to seven university labs and expects to give money to more university labs in the next few months, Armstrong said. He added that the agency has also made contracts with Illumina and Labcorp, two private labs, to do genomic sequencing.
The US has been criticized for not sequencing enough virus samples.
Since the beginning of the pandemic, the US has submitted about 57,000 genomic sequences to GISAID, a centralized database used by countries around the world. In comparison, the UK has had far fewer infections but has submitted about 141,000 sequences.
Armstrong noted that the UK and some other countries have a more centralized system for doing sequencing, while in the US several different types of labs federal, state, academic, and private are doing the work.
Its a somewhat patchy system, Armstrong said.
A World Health Organization official said results are expected this week from labs that are studying whether the new variant first identified in Britain might pose a challenge to coronavirus vaccines.
Scientists in the UK and elsewhere have taken blood from people who have been vaccinated and are testing it in the lab to see if the antibodies created by the vaccine protect against the new variant, according to Maria Van Kerkhove, the WHOs technical lead for coronavirus response.
Theyre also taking blood from people who have been infected with the new variant and testing it in the lab to see how well the vaccine works against it, she told CNN.
Pfizer and Moderna, the makers of the two vaccines authorized in the US, are working in their labs to see if the vaccine is effective against different variants of the virus.
On Wednesday, Dr. Anthony Fauci, director of the National Institute of Allergy and Infectious Diseases, said the immune response from the vaccines was very likely to protect against the new variant.
The UK variant has 17 mutations, an unusually high number.
Scientists are also doing tests to assess the vaccines efficacy against a variant found in South Africa that has 22 mutations, Van Kerkhove said.
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CDC hopes to double the number of coronavirus samples checked for new mutations - ABC17News.com
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Genomic Study Reveals Evolutionary Secrets of Banyan Tree and a Wasp That Coevolved With It – SciTechDaily
Posted: at 9:40 pm
The banyan tree Ficus macrocarpa produces aerial roots that give it its distinctive look. A new study reveals the genomic changes that allow the tree to produce roots that spring from its branches. Credit: Photo by Gang Wang
The banyan fig tree Ficus microcarpa is famous for its aerial roots, which sprout from branches and eventually reach the soil. The tree also has a unique relationship with a wasp that has coevolved with it and is the only insect that can pollinate it.
In a new study, researchers identify regions in the banyan figs genome that promote the development of its unusual aerial roots and enhance its ability to signal its wasp pollinator.
The study, published in the journal Cell, also identifies a sex-determining region in a related fig tree, Ficus hispida. Unlike F. microcarpa, which produces aerial roots and bears male and female flowers on the same tree, F. hispida produces distinct male and female trees and no aerial roots.
Understanding the evolutionary history of Ficus species and their wasp pollinators is important because their ability to produce large fruits in a variety of habitats makes them a keystone species in most tropical forests, said Ray Ming, a plant biology professor at the University of Illinois, Urbana-Champaign who led the study with Jin Chen, of the Chinese Academy of Sciences. Figs are known to sustain at least 1,200 bird and mammal species. Fig trees were among the earliest domesticated crops and appear as sacred symbols in Hinduism, Buddhism and other spiritual traditions.
Ray Ming, a professor of plant biology at the University of Illinois Urbana-Champaign, led a genomic study of the banyan tree, Ficus macrocarpa, and its key pollinator, a wasp. Credit: Photo by L. Brian Stauffer
The relationship between figs and wasps also presents an intriguing scientific challenge. The body shapes and sizes of the wasps correspond exactly to those of the fig fruits, and each species of fig produces a unique perfume to attract its specific wasp pollinator.
To better understand these evolutionary developments, Ming and his colleagues analyzed the genomes of the two fig species, along with that of a wasp that pollinates the banyan tree.
When we sequenced the trees genomes, we found more segmental duplications in the genome of the banyan tree than in F. hispida, the fig without the aerial roots, Ming said. Those duplicated regions account for about 27% of the genome.
The duplications increased the number of genes involved in the synthesis and transport of auxins, a class of hormones that promote plant growth. The duplicated regions also contained genes involved in plant immunity, nutrition and the production of volatile organic compounds that signal pollinators.
The levels of auxin in the aerial roots are five times higher than in the leaves of trees with or without aerial roots, Ming said. The elevated auxin levels appear to have triggered aerial root production. The duplicated regions also include genes that code for a light receptor that accelerates auxin production.
When they studied the genome of the fig wasp and compared it with those of other related wasps, the researchers observed that the wasps were retaining and preserving genes for odorant receptors that detect the same smelly compounds the fig trees produce. These genomic signatures are a signal of coevolution between the fig trees and the wasps, the researchers report.
Ming and his colleagues also discovered a Y chromosome-specific gene that is expressed only in male plants of F. hispida and three other fig species that produce separate male and female plants, a condition known as dioecy.
This gene had been duplicated twice in the dioecious genomes, giving the plants three copies of the gene. But Ficus species that have male and female flowers together on one plant have only one copy of this gene, Ming said. This strongly suggests that this gene is a dominant factor affecting sex determination.
Reference: Genomes of the Banyan Tree and Pollinator Wasp Provide Insights into Fig-Wasp Coevolution by Xingtan Zhang, Gang Wang, Shengcheng Zhang, Shuai Chen, Yibin Wang, Ping Wen, Xiaokai Ma, Yan Shi, Rui Qi, Yang Yang, Zhenyang Liao, Jing Lin, Jishan Lin, Xiuming Xu, Xuequn Chen, Xindan Xu, Fang Deng, Lihua Zhao, Yi-lun Lee, Rong Wang, Xiao-Yong Chen, Yann-rong Lin, Jisen Zhang, Haibao Tang, Jin Chen and Ray Ming, 8 October 2020, Cell.DOI: 10.1016/j.cell.2020.09.043
Ming is an affiliate of the Carl R. Woese Institute for Genomic Biology at the U. of I. The Fujian Agriculture and Forestry University, National Science Foundation and the National Natural Science Foundation of China supported this research.
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Genomic Study Reveals Evolutionary Secrets of Banyan Tree and a Wasp That Coevolved With It - SciTechDaily
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Coronavirus | Five more test positive for mutant variant – The Hindu
Posted: at 9:40 pm
India has reported five new cases of the mutant variant of SARS-CoV-2 virus four found by NIV, Pune, and one was sequenced in IGIB, Delhi taking the total number of these cases to 25 on Thursday as per information released by the Health Ministry.
It added that a consortium of 10 government laboratories had so far found a total of 25 cases of mutant U.K. virus after genome sequencing.
Data released by the Ministry said that the active COVID-19 cases in the country had now declined to 2.57 lakh. The total positive cases are 2,57,656 and now comprise 2.51% of the total cases.
With a high number of COVID-19 patients recovering every day and the sustained fall in the mortality rate, Indias steady trend of registering dipping active cases continues. In all, 21,822 new confirmed cases were recorded in the last 24 hours in the country whereas 26,139 new recoveries were registered in the same period. It has led to a net decline of 4,616 cases from the total active caseload, said the Ministry.
India has also reported 299 COVID-19 fatalities in the past 24 hours with 10 States/Union Territories accounting for 80.60% of these. Maharashtra reported the maximum casualties with 90 new fatalities while Kerala and West Bengal both follow with 28 daily deaths.
The Ministry added that 79.87% of the new cases are from 10 States and UTs with Kerala reporting the highest daily new cases at 6,268. It is followed by Maharashtra with 3,537.
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Coronavirus | Five more test positive for mutant variant - The Hindu
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University of Florida researcher works to make vanilla grow in the sunshine state – Gainesville Sun
Posted: at 9:40 pm
Danielle Ivanov|The Gainesville Sun
Vanilla extract alternatives for your baking
Vanilla bean paste or vanilla powder could be what your recipe is missing.
ProblemSolved, USA TODAY
Editor's note: The online version of this story has been updated to note that vanilla is native to Central and South America.
Ice cream, yogurt, cookies, cakes, pies and more. Everyone has a favorite food involving vanilla, and the tasty spice is getting a leg up fromUniversity of Florida researchers.
Alan Chambers,an assistant professor who studies tropical fruit breeding and genetics, has been researching the vanilla orchid for four years and enjoying strong vanilla milkshakes in Miami-Dade. He and his team'spaper, "A phased Vanilla planifolia genome enables genetic improvement of flavour and production," was just published in Nature Food journal this month.
It outlines their work identifying groups of DNA sequencesin the vanilla plant that will help minimize disease and maximize yield and flavor important traits that could allow the spice to be commercially grown in Florida forbakeries and otherbusinesses.
Currently, vanilla is grown in the state either by hobbyists, researchers or botanical gardeners. The plant is native to Central and South America, and Florida's climate is similar enough to support it as a crop. But the spice is not widely farmed here.
Chambers' research hopes to change that and provide a stable, delicious source of vanilla for local businesses that does not depend on pricing fluctuations in the global market for affordability.
According to Lourdes Rodrigues, a public information specialist withUF's Institute of Food and Agricultural Sciences, vanilla is the most popular and second most expensive spice in the world. Madagascar grows and exports 80% of the global vanilla bean supply, and the U.S. is its largest consumer.
An 8-ouncebottle of pure vanilla extract from Madagascar costs around$33 online. The average supermarket price is about half that.
Chambers said heand his coworkers used artificial selection the traditional breeding methodwhere plants with desired traits are chosen forreproductionto identify wanted genes in vanilla plants from Madagascar and other international growers.
So far, they have narrowed down hundreds of DNA sequencesto just handfuls.
The researcher said he expects to see high-yield, high-taste vanilla plants available for sale to Florida growers in three to four more years. That time will first allow genetic fine tuning on his part to createa cultivar with the best taste, most disease resistance and greatest bean production before reproducing that plant enough times to sell to farmers.
About 500 peoplein South Florida have already expressed interest in the university's first vanilla orchid sales even though they're years away,he said. The prospect of money saved and earned, along with the"locally sourced" label, is attractive to growers and buyers of the spice.
"Here at UF, we connect the dots," Chamberssaid. "It's a very fun area to be working in."
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University of Florida researcher works to make vanilla grow in the sunshine state - Gainesville Sun
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Genome-wide analysis of Indian SARS-CoV-2 genomes to identify T-cell and B-cell epitopes from conserved regions based on immunogenicity and…
Posted: at 9:40 pm
This article was originally published here
Int Immunopharmacol. 2020 Dec 16;91:107276. doi: 10.1016/j.intimp.2020.107276. Online ahead of print.
ABSTRACT
SARS-CoV-2 has a high transmission rate and shows frequent mutations, thus making vaccine development an arduous task. However, researchers around the globe are working hard to find a solution e.g. synthetic vaccine. Here, we have performed genome-wide analysis of 566 Indian SARS-CoV-2 genomes to extract the potential conserved regions for identifying peptide based synthetic vaccines, viz. epitopes with high immunogenicity and antigenicity. In this regard, different multiple sequence alignment techniques are used to align the SARS-CoV-2 genomes separately. Subsequently, consensus conserved regions are identified after finding the conserved regions from each aligned result of alignment techniques. Further, the consensus conserved regions are refined considering that their lengths are greater than or equal to 60nt and their corresponding proteins are devoid of any stop codons. Subsequently, their specificity as query coverage are verified using Nucleotide BLAST. Finally, with these consensus conserved regions, T-cell and B-cell epitopes are identified based on their immunogenic and antigenic scores which are then used to rank the conserved regions. As a result, we have ranked 23 consensus conserved regions that are associated with different proteins. This ranking also resulted in 34 MHC-I and 37 MHC-II restricted T-cell epitopes with 16 and 19 unique HLA alleles and 29 B-cell epitopes. After ranking, the consensus conserved region from NSP3 gene is obtained that is highly immunogenic and antigenic. In order to judge the relevance of the identified epitopes, the physico-chemical properties and binding conformation of the MHC-I and MHC-II restricted T-cell epitopes are shown with respect to HLA alleles.
PMID:33385714 | DOI:10.1016/j.intimp.2020.107276
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BNGO Stock Price Increased 50.42%: Why It Happened – Pulse 2.0
Posted: at 9:40 pm
The stock price of BioNano Genomics Inc (NASDAQ: BNGO) increased by 50.42% as it went from a previous close of $0.88 to $1.33. And it is up more than 133% since the past week. The companys announcements over the last couple of weeks triggered the momentum.
This is what the company announced over the last couple weeks:
December 28 Bionano Announces Praxis Genomics Receives Accreditation From College Of American Pathologists
Bionano Genomics announced on December 28 that its customer Praxis Genomics received accreditation from the College of American Pathologists (CAP), making it the first CAP-accredited CLIA-certified diagnostic lab in the United States to offer a laboratory-developed test (LDT) based on whole-genome analysis with Saphyr. And the LDT is designed for postnatal patients suspected of a constitutional genetic disorder.
Praxis utilizes optical genome mapping (OGM) with Bionanos Saphyr System as an alternative to traditional methods of chromosomal microarray (CMA) and karyotyping (KT) as they seek to improve the rate of clinical diagnosis for patients with genetic disease. And CMA and KT together typically diagnose 30-50% of patients tested. Recent studies have found that OGM with Saphyr is concordant with CMA and KT and also diagnoses a significant fraction (18-25%) of the patients who could not be diagnosed with traditional methods.
Medical guidelines have recommended successive rounds of analysis with CMA, KT, repeat expansion testing, single gene or gene panel testing, and whole-exome sequencing until a pathogenic variant is identified or until the different techniques have been exhausted. At Praxis, this tiered approach is replaced by whole-genome analysis using OGM with Saphyr for structural variants (SVs) and whole-genome analysis by next-generation sequencing (NGS) for single nucleotide variants (SNVs) when requested.
This workflow eliminates costly and time-consuming steps like cell culture and tedious manual data analysis across multiple platforms and provides a streamlined approach for detection of all types of genomic aberrations designed to achieve a higher rate of diagnosis faster, easier, and at a lower economic cost for labs and payors.
Several diagnostic labs in the U.S. like PerkinElmer Genomics and the University of Iowa Hospitals and Clinics have already launched Saphyr based LDTs targeting a specific clinical indication, a form of muscular dystrophy called FSHD1. And while the development of whole-genome clinical tests with Saphyr has been in progress in Europe for various clinical applications including inherited genetic disorders and leukemias, the Praxis clinical service is the first to provide whole-genome analysis in the U.S.
December 23 Analyst Rating By Oppenheimer
On December 23, Oppenheimer analyst Kevin DeGeeter had reiterated an Outperform (Buy) rating on BNGO shares. And he assigned the company a price target of $1.50.
December 23 Publication Announcement Of A Study By The Human Genome Structural Variation Consortium
Bionano Genomics announced the publication of a study by the Human Genome Structural Variation Consortium (HGSVC) revealing that their sequencing method based on PacBio HiFi reads detected only 72% of the large SVs that Bionanos optical genome mapping (OGM) detected across 32 different human genomes. And the consortium developed its custom sequencing method by combining sequencing with PacBio and the single-strand prep and sequencing method StrandSeq to establish a comprehensive catalog of human SVs with base-pair and haplotype resolution.
The cost of the method is estimated, based on list pricing, to be between $10,000 and $20,000 per genome. And OGM with Saphyr which costs less than $500 per genome was shown to be significantly more sensitive than the sequencing method. And many of the SVs missed by the sequencing technologies overlapped with complex regions of the genome that cause microdeletion and microduplication syndromes which are highly relevant clinically owing to their involvement in neurodevelopmental disorders.
The analysis is primarily focused on insertions and deletions which are considered to be easier for sequencing to detect. And other studies have shown that OGM significantly outperforms sequencing for detection of other SVs like inversions and translocations which are also highly clinically relevant, especially in cancer. And the publication did classify some large SVs as being uniquely detected by the sequencing-based method based on PacBio HiFi. Upon further analysis, most of these SVs were in fact identified by OGM but classified differently. Overall, under 2% of the large SVs detected by PacBio were missed by OGM.
December 21 Key Milestones With Software Update For Saphyr System
Bionano Genomics recently announced the achievement of a key milestone for the throughput of its Saphyr System. And with the release this week of a software update for the Saphyr Instrument, part of its system for optical genome mapping, the system is now capable of imaging up to 96 human genomes per week to a depth of coverage of 100x (or 4,992 samples per year), assuming continuous operation.
Since the launch of Saphyr in 2017, annual throughput has increased 1,400% from 384 samples per year to nearly 5,000 samples per year. And the expansion in throughput has been driven by the growing use of the Saphyr System in a variety of high volume settings, including discovery research and cytogenomics.
The software update will come pre-installed on all systems shipped or installed beginning today and is made available free of charge for immediate installation on all Saphyr Systems installed in the field, including the first-generation Saphyr systems shipped before 2019 which will see a 15% speed increase as well.
Disclaimer: This content is intended for informational purposes. Before making any investment, you should do your own analysis.
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BNGO Stock Price Increased 50.42%: Why It Happened - Pulse 2.0
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Antigen receptor repertoires of one of the smallest known vertebrates – Science Advances
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INTRODUCTION
During the early stages of vertebrate evolution, the emergence of lymphocytes as a new cell type in adaptive immune systems was followed by the invention of somatic diversification of antigen receptors and their clonal expression (1, 2). Somatic diversification has the potential to generate an enormous number of structurally distinct receptors from a small set of germline-encoded building blocks and is a defining and essential characteristic of vertebrate immunity (3). Because effective immunity depends on large and diverse repertoires of antibodies [immunoglobulin (Ig)] (4) and T cell receptors (TCRs) (5), numerous studies have examined the diversity of antigen receptor repertoires under physiological and pathological conditions. However, the rules underlying the structure of antigen receptor repertoires are not yet fully defined (6, 7), despite their enormous importance for the understanding of adaptive immunity in general and the natural history of clinically relevant immune disorders in particular (8). Recently, the development of powerful sequencing technologies has led to renewed interest in this biological problem (6, 7), although the sheer magnitude of the repertoires (915), and the complex anatomy pose a considerable challenge to defining their size and structure (16), particularly for animals with billions of lymphocytes distributed throughout the whole body.
Notwithstanding the inevitable sampling problems, studies of human, mouse, and zebrafish immune systems have revealed that despite their extraordinary diversity, the repertoires of different individuals partially overlap and that the frequency distributions of clonotypes contained in the sampled repertoires follow a power law (915, 17, 18). Moreover, these studies have uncovered intriguing aspects of immune system maturation, heritable contributions, and the effects of immune responses on sequence compositions (915, 1720). However, because it is unclear whether the samples subjected to analysis are representative of the total lymphocyte populations of the entire animal, a considerable degree of uncertainty remains about the generality of these properties. For instance, if the observed power-law distributions of clonotype frequency were indeed representative properties, then it would suggest that antigen receptor repertoires are organized as self-similar or fractal systems (21). Fractal systems exhibit similar topological patterns at increasingly small scales and thus have a series of desirable properties for immune systems, the most important of which is their robustness to changes in the frequencies or even total loss of individual components (22).
To circumvent the inevitable sampling problems encountered with large vertebrates, such as humans, and the enormous size of their antigen receptor repertoires (915, 1720), we have studied the immunogenetic features of one of the smallest known vertebrates. The cyprinid fish Paedocypris sp. Singkep (minifish) (22, 23) is known to mature at approximately 8 mm in standard length. So far, minifish were examined for adaptations of genome structure and developmental trajectories associated with miniaturization (22, 23); by contrast, its immune system has not yet been studied. We reasoned that owing to its small body size and the correspondingly small number of lymphocytes, it should be possible to achieve near-complete coverage of clonotype sequences, a previously unattainable goal. Here, we show that self-similarity is a fundamental property of antigen receptor repertoires of vertebrates, irrespective of their body size, and illustrate that scale-free networks of antigen receptor specificities allow minifish to achieve immunocompetence with a few thousand lymphocytes.
Our initial analysis of the immunogenome of minifish focused on the structure of antigen receptor gene loci. Because studies in minifish are limited to small numbers of preserved specimens of this uncommon species, we relied on DNA and RNA sequence information. To this end, we first assembled comprehensive transcriptomes and then established high-quality genome assemblies to be able to determine the numbers, positions, and order of individual genetic of immune-related genes. We sequenced genomic DNAs extracted from two individuals, a male and a female minifish. The assemblies indicated identical overall genome sizes of 403 Mb (contig N50, 42.8 kb; scaffold N50, 7.3 Mb) and 404 Mb (contig N50, 36.3 kb; scaffold N50, 11.0 Mb), respectively, with an estimated completeness of about 95% (table S1), similar to other species of Paedocypris (24); approximately 27% of both genomes were found to contain repetitive sequences (table S2). The transcriptomes of a further pair of animals were established to support the gene annotation efforts. A total of 20,013 and 18,003 protein-coding genes were predicted in the male and female minifish genome assemblies, respectively, in line with other cyprinids (24).
The presence of immune-related organs has not yet been investigated in minifish. However, with respect to the thymus, a primary lymphoid organ, it is known from studies of other teleosts that two paralogous transcription factor genes, foxn1 and foxn4, both contribute to thymopoiesis (25); both genes are found in the minifish (see the Supplementary Materials). We conclude that minifish have a functional thymic microenvironment that is known to be required for T cell development. With respect to secondary lymphoid tissues, we focused our attention on the spleen, since teleosts do not have lymph node structures (26). Studies in mammals and zebrafish have shown that the formation of the splenic primordium requires the activity of the tlx1 transcription factor gene (27, 28), which sets the stage for subsequent organ formation. We found that the minifish genome contains an intact tlx1 gene (see the Supplementary Materials), suggesting that the spleen is formed normally in minifish. Likewise, no information is available on the number of lymphocytes in minifish. Under the assumption that the cyprinid body plan and the general structure of the hematopoietic tissues are conserved between zebrafish and minifish, we measured the number of T lymphocytes in zebrafish of about 3 weeks of age; at this time point, zebrafish are similar in size and body weight to minifish. To specifically mark T lineage cells, we constructed an lck:GFP reporter strain and found that the number of T cells in 3-week-old zebrafish corresponds to about 37,000 cells (see Materials and Methods). In zebrafish, the number of B cells is approximately twice that of T cells (29), indicating that minifish may have in the order of 75,000 B cells.
Although we had considered the possibility that minifish may not require all lymphocyte lineages that constitute the canonical adaptive immune system in larger animals, we found that minifish has the complete genetic machinery to generate antibodies and the two principal TCRs. The igh locus has a structure similar to that of other teleost genomes (30) but lacks exons encoding the constant region of igz (Figs. 1A and 2); six translocon elements each for two families of igl genes (Fig. 1A) complete the components of the canonical antibody generating system of minifish, in line with the presence of genes encoding key elements of the B cell receptor (BCR) signaling complex (cd79a and cd79b) (see the Supplementary Materials). With respect to the TCR genes, we found that the tcra/d locus conforms to the typical teleost structure (Figs. 1A and 2) (31). The same is true (32) for the tcrb locus (Figs. 1A and 2). As for the phylogenetically closely related cyprinid Danio rerio (zebrafish) (see http://www.ensembl.org/Danio_rerio), the tcrg locus is closely linked to the tcra/d locus. Collectively, our analysis suggests that all known somatically diversifying antigen receptor gene loci are present in minifish. However, in contrast to the situation of protein-coding genes (24), it appears that the miniaturization of body size is associated with a marked reduction of the numbers of V, D, and J elements, substantially constraining the magnitude of combinatorial diversity during somatic diversification of antigen receptors; this reduction occurs in all antigen receptor loci when compared to zebrafish (Fig. 1B). The reduction of elements is essentially random, as exemplified by the 52 variable genes in the tcra/d locus in comparison to their counterparts in zebrafish (fig. S1A). As expected, minifish has genes encoding key elements of the TCR signaling complex (cd3e, cd3gd, and two paralogs of cd3z) (see the Supplementary Materials).
(A) Germline structure of immune antigen receptor genes. The numbers of elements are indicated in parentheses; the spacer lengths of recombination signal sequences are indicated by numbers inside the cartoons. (B) General reduction of genetic elements in minifish compared to zebrafish. (C) Numbers of antigen receptor clonotypes (left table) and corresponding complementary DNA (cDNA) molecules (right table) in four unrelated individuals; these numbers were determined by subjecting one-third of total RNA to sequencing (cf., Materials and Methods). (D) Clonal distributions of TCR chains from a single individual (fish no. 5) represented in quintiles; these distributions follow a power-law indicative of the fractal nature of the repertoires.
In the tcra/d locus, one C region, two J, and two J elements are present and are arranged in tandem to 61 J elements and the constant region of the tcra gene; the V region cluster comprises 52 V/ elements and is situated in opposite orientation downstream of tcra constant region gene. As observed for other teleosts, this configuration necessitates inversional rearrangements to generate functional variable regions (VJ for tcra and VDJ for tcrd genes) but allows for the possibility of lineage-modifying secondary rearrangements (31). The tcrg locus is closely linked to the tcra/d locus on the same scaffold, although it consists of a mere three V, two J, and one constant region. In the tcrb locus, 11 V elements are associated with two constant regions; however, only 1 of the C genes is preceded by a D element (and 8 J elements), whereas the second constant region is preceded by 1 J element only. The igh locus has a structure typical of teleost genomes comprising 10 tandemly arranged variable (VH), 2 diversity (DH), 4 joining (JH), and 1 constant region (C) elements. Exons encoding the constant region of igz were not detected. Physical maps of the indicated loci were derived from the following scaffolds (sc): tcrg and part of tcra/d on female sc0015; remainder of tcra/d on female sc0030; tcrg on male sc0017 and tcra/d on male sc0032; tcrb on female sc0010 and male sc0072; and igh on female sc0014 and male sc0015. The genes encoding Ig light chains are not shown.
The small body size of minifish offered the unprecedented opportunity to examine the diversity of expressed antigen receptor genes in much greater depth than would be possible with larger species, including zebrafish (17, 18). To this end, we extracted total RNA from whole bodies of four fish and used the equivalent of ~1/3 of total RNA each to establish an unbiased representation of igm and tcr clonotypes after complementary DNA (cDNA) synthesis and multiplex amplification; the read statistics are presented in table S3. Our sequencing strategy not only minimizes the sampling problem but also includes the repertoires expressed by all lymphocytes, irrespective of whether they are situated in primary lymphopoietic organs or peripheral tissue sites, hence comprising receptors before and after selection. In this work, clonotypes are primarily defined as unique nucleotide sequences across the entire V, D (if appropriate), and J segments, rather than just CDR3 sequences. However, in the subsequent network analysis, which is carried out using conceptually translated protein sequences, a clonotype may be derived from one to many nucleotide sequences that all have the same CDR3 protein sequence irrespective of variations in V and J segments; to distinguish them from the primary clonotypes, we refer to them as CDR3 clonotypes. We have chosen to use Shannons entropy theorem to examine diversity of both nucleotide and protein sequences; moreover, it can be used to estimate a minimum number of different sequences that a system of entropy H can generate (see Materials and Methods).
As shown in Fig. 1C, we detected up to about 5000 different igm sequences in minifish individuals. Considering the fraction of RNA sequenced in this experiment, igh clonotypes may reach a total of about 15,000 per fish. Under the assumption that minifish harbor about 75,000 B cells, this would correspond to an average clone size of approximately 5 cells per clonotype. In addition to contributions by palindromic (P) nucleotides, the nucleotide sequences of CDR3 regions provided clear evidence of nontemplated (N) nucleotide additions at the junctions (fig. S2A), in line with the presence of a functional terminal deoxynucleotidyl transferase ortholog (see the Supplementary Materials); the length distribution of CDR3 sequences assumed a Gaussian shape with a mean value of 12.4 1.5 (means SD) amino acid residues (fig. S2B). Entropy analysis based on amino acid sequences indicated that the contributions of the V and J regions amount to 3.03 and 1.78 bits, respectively, with the internal segment of the CDR3 regions (comprising of P, N nucleotides, and Dh element sequences) additionally contributing 14.92 bits (~76% of the total). These results indicate that the igm locus can generate a minimum of (219.73~) 860,000 different igm heavy chains. The repertoire of igm clonotypes is characterized by a small fraction of prevalent clones, whereas most of clonotypes are of low frequency (fig. S2C). Although we have detected an intact aicda gene in the genome and transcriptome sequences (see the Supplementary Materials), the comparatively small number of sequences available for analysis precluded a definitive conclusion about the presence of substoichiometric (that is somatically mutated) variants of germline V sequences in the transcriptome. Although the igl light chain gene repertoires were not studied here, it is possible that the antibody specificities may go beyond the 15,000 clonotypes estimated from the analysis of the heavy chain assemblies at the igm locus, which would further reduce the average clone size.
We estimated the relative proportion of the two principal T cell lineages based on the number of clonotypes. We found that the numbers of different clonotypes of tcrg and tcrd are much smaller than those of tcra and tcrb (Fig. 1C), suggesting that only about 13.6 6.7% of T cells belong to the T cell lineage; this finding is in line with recent work using tcrg- and tcrd-specific antisera in adult zebrafish (33), further emphasizing the similar immune system structures of zebrafish and minifish. On the basis of the clonotype numbers of tcrb and tcrd assemblies in fish no. 5 (Fig. 1C), a minifish individual may have at least about 8000 T cells and 1100 T cells; given that trca and tcrg assemblies also contribute to diversification of antigen specificities in the TCR heterodimers, these numbers must be considered a lower bound. On the basis of tcrb and tcrd clonotype numbers alone, the average clone size is in the order of ~4, a number consistent with the estimated number of T cells in zebrafish of the same body size. Despite the small overall number of cells in the T cell compartment, we found that minifish has a complete set of expressed co-receptor genes cd8a, cd8b, cd4-1, and cd4-2 (see the Supplementary Materials). Although it was not possible to determine the relative proportions of presumptive cytotoxic and helper lineages, these findings suggest that the two canonical sublineages of T cells are maintained in this small vertebrate; moreover, the presence of foxp3a- and foxp3b-related genes (see the Supplementary Materials) suggests further functional subdivisions among helper subsets. Collectively, these results indicate that the canonical diversity of teleost T cell lineages is maintained in minifish and suggest that immune homeostasis can be established even if each of the functional sublineages comprises at most a few thousand cells.
Detailed inspection of tcrg and tcrd sequences exhibits P nucleotides and N-region additions at the coding joints (fig. S3), substantially increasing the limited combinatorial diversity (Figs. 1A and 2) of these chains. The length distributions of CDR3 regions of both chains are heavily skewed, particularly when the number of molecules is taken into consideration (fig. S4). A total of 4 of 52 V elements in the V/ gene cluster were exclusively found in functionally assembled tcrd transcripts, in addition to an additional 4 elements that were predominantly (ratio of tcrd/tcra usage, >10) associated with this chain (fig. S1B). This indicates that ~(8/52=) 15% of V/ elements are associated with tcrd assemblies, similar to the estimated proportion of T cells. The low numbers of tcrg and tcrd clonotypes precluded a meaningful entropy analysis.
The length distribution of the CDR3 regions in tcrb assemblies assumes a Gaussian shape, with a mean value of 13.3 1.3 (means SD) amino acid residues (fig. S4). Entropy analysis based on amino acid sequences indicated that the contributions of the V and J regions amount to 2.87 and 2.66 bits, respectively, with the internal segment of the CDR3 regions (two regions of P and N nucleotides and one D region; see fig. S3) contributing an additional 12.5 bits (~70% of total entropy). The total entropy H of tcrb sequences amounts to 18.05 bits and is similar to that estimated for the igm repertoire; in analogy, this figure suggests that minifish can generate a minimum of (218.05~) 270,000 different tcrb clonotypes; since this number likely exceeds the number of T cells in these animals, the full tcrb repertoire can only be realized on a population basis.
The frequencies with which individual V and J elements are used in tcra assemblies were found to consistently vary across the locus (fig. S5A), as observed for tcrb assemblies (fig. S5B). A total of 44 V/ elements that are exclusively or predominantly used in tcra assemblies (fig. S1) combine with 61 J elements (Figs. 1A and 2), generating a total of 2684 possible VJ combinations. Among the tcra assemblies of the four fish analyzed here, approximately 55% of these combinations were found. Despite variable degrees of usage of the two elements (fig. S5A), the V-J combinations are essentially random; this can be deduced from the low value of their mutual information (0.39 bits) in comparison to their joint entropy (9.93 bits) (fig. S5C). The overall length of the CDR3 region of tcra assemblies was found to be 13.1 1.2 (means SD) amino acid residues (fig. S4), identical in size to that of tcrb chains. Since ~75% of tcra chains exhibited neither P nor N nucleotides at the junctions (fig. S3), combinatorial diversity is the dominant mechanism of diversity generation, with additional contributions to diversity by nucleotide deletions at the V-J junctions. Accordingly, entropy analysis based on amino acid sequence indicated that the CDR3 region contributed only 3.4 bits (~25% of total entropy) to the 4.8 and 5.8 bits of entropy furnished by V and J segments, respectively. The total entropy H of 14 bits for tcra chains suggests that minifish can generate a minimum diversity of (214~) 16,000 different tcra clonotypes, close to the number of T cells in this animal. This result indicates that in contrast to the situation of tcrb clonotypes, the T cells in each minifish fish express a large fraction of the entire tcra repertoire that can be generated in this species immune system.
To gain insight into the composition of the tcr repertoires, we determinedat the nucleotide levelthe frequencies with which individual clonotypes were recovered by sequencing. The tcr repertoires of minifish are dominated by a small number of frequent clonotypes, whereas most other clonotypes are of low frequency, a typical feature of a power-law distribution (Fig. 1D). Hence, we expect that additional clonotypes that were not recovered by our sequencing strategy likely will belong to the low-frequency class. Next, we determined the degree of overlap in the tcr repertoires among the four individuals analyzed here. Sequences found in at least two individuals of a population are commonly defined as public clonotypes (34). Pairwise comparisons of nucleotide sequences indicated that, on average, about 100 clonotypes (range, 70 to 145) of the 500 most frequent tcra clonotypes and about 25 clonotypes (range, 7 to 50) of the 500 most frequent tcrb clonotypes are shared (Fig. 3A). For the tcrg and tcrd repertoires, we found that 16 (range, 5 to 26) and 8 (range, 5 to 14) of the 80 most frequent clonotypes, respectively, are shared by any two individuals (Fig. 3B).
(A and B) Pairwise comparisons of the top 500 clonotypes each of tcra and tcrb (A) and tcrg and tcrd (B). (C and D) Correlation of shared clonotypes for six two-way comparisons of the four fish for tcra/trcb (C) and tcrg/tcrd (D). (E) Proportion of unique and clonotypes shared among two, three, or four individuals. Inset: log-log plot of data. The slopes are indicative of the fractal dimensions. (F) Prevalence of unique and clonotypes shared among two, three, or four individuals, identified by their origin in color code. The number of clonotypes that are present in all individuals is indicated (see table S3). tcra (top left), tcrb (bottom left), tcrg (top right), tcrd (bottom right). (G) Schematic of the cd3gd gene structure with coding exons, poison exon (), splicing patterns, and functional protein domains indicated. SP, signal peptide; TM, transmembrane domain; ITAM, immune receptor tyrosine-based activation motif. (H) Schematic of the cognate minifish cd3 protein complex comprising eight ITAM motifs, modeled according to the octameric structure in 1:1:1:1 stoichiometry of TCR:CD3:CD3:CD3 (38) of the human TCR-CD3 complex. TM domains are indicated by orange squares, ITAM motifs by green squares, the cell membrane is indicated by two straight lines. (I) Schematic of the alternative minifish cd3 complex with six ITAM motifs; the variant cd3gd protein is highlighted by asterisk (*). (J) Number of ITAM motifs in CD3 complexes of zebrafish and minifish.
The extents of shared clonotypes for tcra and tcrb in two-way comparisons between different pairs of individuals are highly correlated (Fig. 3, A and C); moreover, the usage of V and J elements of the two chains is nearly identical among all individuals (fig. S5, A and B). Since the CDR3 regions of tcra sequences exhibit few random nucleotide additions, a substantial degree of overlap of clonotypes between individuals is observed; the same is true for the CDR3 regions of tcrb, despite the presence of a D element (Fig. 3, A and C). Hence, the degree of publicity of both tcra and tcrb clonotypes is likely determined by the respective constellation of mhc genes (fig. S6) of each individual. The strong correlation (r2 = 0.82) of shared clonotypes in the six two-way comparisons of tcra and tcrb assemblies (Fig. 3C) illustrates the strong impact of peptidemajor histocompatibility complex (MHC) complexes on the composition of the TCR repertoire (35, 36). As expected for the lack of MHC restriction in the T cell lineage, a weak, if any, correlation for shared clonotypes of tcrg and tcrd assemblies was found (Fig. 3, B and D).
A comparison of nucleotide sequences of overlapping clonotypes among the four fish indicates that the patterns of publicity fall into two groups; tcra and tcrg sequences both have high publicity, whereas tcrb and tcrd sequences exhibit lower degrees of publicity (Fig. 3E). This finding suggests that two different sets of rules govern the generation of the repertoires of tcra and tcrg and tcrb and tcrd, respectively. These characteristics are best represented by the corresponding fractal dimensions, expressed in similar slopes of the log-transformed rank/frequency distributions for tcra and tcrg and tcrb and tcrd, respectively (Fig. 3E, insets). Collectively, these results suggest that and heterodimers exhibit a similar overall structural design. In the assemblies of all antigen receptor genes, public sequences tend to be associated with higher molecule counts than private clonotypes (Fig. 3F). However, the two types of TCR heterodimers differ by the frequencies with which individual clonotypes are represented in the repertoires of individual fish; the frequencies of fully public clonotypes of tcrg and tcrd are almost always higher than those of private clonotypes (Fig. 3F and table S4). Although we cannot distinguish whether this is due to preferential generation of certain assemblies or their subsequent selection, this result demonstrates that the TCR lineage is dominated by a small number of prevalent clones that are identical for all fish (fig. S4).
Our analysis of tcr assemblies suggests that and heterodimers are both composed of one chain with restricted diversity (encoded by tcra and tcrg), whereas the other chain is much more variable (encoded by tcrb and tcrd). In analogy to the situation of semi-invariant TCRs described in mammals, such as those characterizing invariant natural killer T (iNKT) cells (37), we considered the possibility that the unusual properties of the T cell repertoire of minifish may be associated with the recognition of restricted sets of antigens. In this scenario, one would expect a substantial degree of receptor cross-reactivity, possibly necessitating further adaptations, for instance, in the components of the signal transduction pathway(s) to fine-tune the antigen response. To this end, we focused on the CD3 signaling apparatus of the TCR (38). The minifish cd3 chain exhibits the characteristic single immunoreceptor tyrosine-based activation motif (ITAM), whereas the two paralogs encoding the cd3 component both encode only two ITAMs (Fig. 3, G and H, and see the Supplementary Materials), instead of the more common three ITAM/two ITAM constellation in the closely related cyprinid D. rerio (39). In addition to this hard wired modification, further studies led to the discovery of an unusual splicing event in the cd3gd gene (Fig. 3G), which represents the evolutionary ancestor of the distinct CD3G and CD3D genes in mammals. In addition to the canonical transcript, we recovered an alternatively spliced version, incorporating a cryptic poison exon (Fig. 3G). The conceptual translation of this variant transcript reveals an in-frame stop codon and predicts a variant cd3gd protein that retains the transmembrane domain but lacks the characteristic ITAM motif (Fig. 3I). As a result, instead of 10 ITAMs per typical cyprinid CD3/TCR complex (Fig. 3H), conditional splicing events make it possible to adjust the number of ITAMs to between six and eight (Fig. 3, I and J), a constellation that would allow the titration of the strength of downstream signal transmission after TCR engagement (40).
The small numbers of minifish antigen receptor clonotypes offer an unprecedented opportunity to achieve a near complete description of their network structure. Following previous studies, we focused on the CDR3 regions of individual clonotypes. To this end, the conceptually translated sequences of individual clonotypes were collapsed into one node, when their CDR3 sequences were identical, to which we refer as a CDR3 clonotype. Pairs of nodes were then connected by an edge, when they were separated by one amino acid difference [Levenshtein distance of 1 (41)], that is, by replacement, deletion, or addition of one amino acid. The networks of all five antigen receptor chains thus constructed formed clusters of nodes typically containing many V segments (Fig. 4A) but only one or two J segments (Fig. 4B); the insets in Fig. 4 (A and B) illustrate this phenomenon for the largest cluster of tcrb CDR3 clonotypes. This structure emerges as a result of the fact that the sequence diversity of the CDR3 region is dominated (but not exclusively determined) by the distinct sequences found in the 5 ends of each J segment as opposed to the relatively uniform amino acid sequences that are present at the 3 ends of V elements. This phenomenon was previously also described for mouse and human networks (42), suggesting that it represents a fundamental design principle of the immune system. However, since antigen receptor genes differ in the number of V and J segments, the number of individual clonotypes, and the overall structure of the CDR3 region [particularly the presence or absence of D segment(s) and the extent of addition of P and nontemplated N nucleotides], the resulting network architectures differ among the antigen receptor genes (Fig. 4, C to F, and table S5). In all four fish, the igh network is dominated by one giant component that contains three of the four J elements and connects 63.51 13.47% (n = 4 fish; means SEM) of all nodes (range, 43.3 to 71.2%) (Fig. 4C); accordingly, the cluster sizes for the igm network show a marked bimodal distribution (Fig. 4D and table S5). Overall, this results in a situation very similar to what has been described in mouse networks (7). The average degree of connectivity, that is, the number of edges connected to a node, varies between 1.9 and 4.6 across the four fish, whereas the corresponding maximum degree of connectivity in the network varies between 18 and 44 (table S5).
(A) Numbers of variable genes (V) per cluster of connected CDR3 sequences in four fish. (B) Numbers of joining genes (J) per cluster of connected CDR3 sequences in four fish. In (A) and (B), individual values are indicated by dots. The box plot indicates the mean and 25 and 75 percentiles. (C) Network of connected igh CDR3 sequences. (D) Distribution of the number of igh CDR3 sequences according to cluster size (indicated at the bottom). (E) Networks of connected CDR3 sequences of the four tcr assemblies. (F) Distribution of the number of CDR3 sequences of the four tcr assemblies according to cluster size (indicated at the bottom). In the display of tcrb network, 300 nodes situated far away from the central nodes are not shown. In (C) and (E), the size of the dot indicates the degree of publicity; unconnected nodes are small, and fully public clones are indicated by the largest diameter; individual J elements are indicated by different colors.
Owing to the low sequence diversity of tcrg CDR3 clonotypes, only a minority remains unconnected in the network; individual nodes are connected by one of the two J segments and organized in several distinct clusters that do not coalesce (Fig. 4, E and F). This peculiar archipelago-like structure is not seen with tcrd CDR3 clonotypes; here, the network comprises mostly unconnected nodes as a result of the vast potential diversity of trcd assemblies (Fig. 4, E and F). The network of tcra CDR3 clonotypes is again composed of distinct clusters, mostly determined by one J element. However, as a consequence of a general lack of P and N nucleotides at the junctions and the dominance of particular V-J recombinations, these clusters rarely coalesce (Fig. 4, E and F). In this regard, the network structures of tcra and tcrg are similar, reinforcing the conclusion that they are built according to similar rules. Moreover, the comparable network organization suggests that in their respective heterodimeric constellation, they are expected to make a smaller contribution to the capacity of antigen discrimination than their partner chains. The network of tcrb CDR3 clonotypes exhibits the most complex structure, combining features seen in other networks. Cluster sizes follow a bimodal distribution, with a substantial fraction of unconnected nodes and contributions of several large clusters that are dominated by a single J element each (Fig. 4, E and F).
Next, we considered the position of public CDR3 clonotypes in the networks of the antigen receptor assemblies. Irrespective of the variable distributions of cluster sizes observed for the five genes, in the respective networks, public CDR3 clonotypes are universally associated with the larger clusters (Fig. 5A). This apparent centrality of public sequences was previously observed for mammalian antigen receptor gene repertoires (7, 42) and may thus represent a general design principle of antigen receptor repertoires. The increase in node connectivity associated with publicity was most pronounced for tcrb and igh assemblies (Fig. 5B). This trend is further illustrated by the observation that, for fish no. 5, all 118 nodes that are present in all fish (publicity degree 4; red dots in Fig. 5A) are found in networks clusters, identifiable as the large circles in the networks shown in Fig. 3 (C and E); for the other three fish, a maximum of four of these 118 nodes are unconnected.
(A) Distribution of individual CDR3 sequences of the five antigen receptors according to cluster size and degree of publicity (color-coded). (B) Summary statistic of the degree of connectivity of CDR3 clonotypes according to their publicity.
Next, we addressed the stability of the networks. In a first set of simulations, we removed all public CDR3 clonotypes from the networks of all five antigen receptor genes and examined the changes in the distributions of the degrees of connectivity. For instance, in the case of the igm network of fish no. 5, this led to the removal of 596 of 3440 nodes (~17%) (Fig. 6A). As expected from the highly connected network structure of igm CDR3 clonotypes, the maximum degree of connectivity was reduced by about 55% (Fig. 6B). By contrast, randomly removing the same number of private clones had correspondingly little impact (~14%; Fig. 6, A and B). This notably different outcome is reproducible across different fish and highly significant (fig. S7), even when only two-thirds of public clones (and a similar number of nonpublic clones) are removed. These results echo the observations of Miho et al. (7) in Igh networks of mouse and human after removal of public clones.
(A) The degree of network connectivity is a measure of network structure. The cumulative frequency distribution is shifted to the left, if removal of nodes reduces connectivity. In all but one network, removal of all public CDR3 clonotypes reduces the maximum degree of connectivity. Removal of the same numbers of nonpublic sequences (40 iterations of randomly chosen sequences are shown in the blue lines) has a less marked effect. (B) Summary statistic of the maximum degree of connectivity in antigen receptor networks after removal of public and nonpublic CDR3 clonotypes as shown in (A).
A similarly marked reconfiguration of the connectivity of network structures of tcra, tcrb and, to a lesser extent, of tcrg was observed after the removal of all public CDR3 clonotypes (Fig. 6, A and B), whereas the network connectivity remained largely unchanged after removal of an equivalent number of nonpublic CDR3 clonotypes. By contrast, removal of public and nonpublic CDR3 clonotypes had an equally minor effect in the tcrd network (Fig. 6, A and B), as expected from its largely unconnected configuration (Fig. 4, E and F). Collectively, our studies reaffirm the centrality of public CDR3 clonotypes in the networks of igm and tcra, tcrb, and tcrg clonotypes as a general design principle.
As shown in Fig. 1B, the antigen receptor loci of minifish are characterized by a much reduced number of J elements when compared to zebrafish, yet the CDR3 clonotype clusters in the networks are often dominated by one or few J elements (Fig. 4). State-of-the-art prediction algorithms of antigen specificity (4345) have assigned a prominent role to CDR3 regions of TCR chains, although the TCRdist algorithm (45) also takes CDR1 and CDR2 regions into account. Since clusters of related tcrb sequences typically contain only one or two J elements, loss or gain of J elements can have a substantial effect on the functional capacity and structure of the antigen receptor repertoire. Whereas a reduction of J elements would result in greater connectivity (perhaps more akin the igh network) and, hence, a much more focused repertoire, a larger number of J elements would lead to a more fragmented structure, with much reduced cluster sizes, approaching the structure of the tcra network. We therefore propose that the number and kind of genetic elements available for tcra and tcrb assemblies are linked to the number of T cells in a species, to optimally achieve antigen discrimination and hence recognition in the context of MHC peptide presentation. Interspecific comparisons will be required to determine the scaling factors underlying this relationship.
Our study uncovers a number of unexpected features of the immune system of one of the smallest known vertebrates. Despite its miniature body size and the correspondingly small numbers of lymphocytes, the compact minifish genome encodes the key elements of a canonical vertebrate adaptive immune system. In line with the small size of the lymphocyte compartment, the numbers of individual elements in the antigen receptor loci are substantially reduced. The two T cell lineages of minifish both express receptors composed of one chain with limited diversity (tcra and tcrg) and a second chain with considerably greater diversity (tcrb and tcrd). However, the reduction of diversity is achieved differently, by reciprocal contributions of combinatorial and junctional diversity. For tcra, few instances of random nucleotide addition are found in CDR3 regions, and diversity is mainly driven by combinatorial pairing of V-J elements; by contrast, few combinatorial choices exist for tcrg sequences that, instead, rely primarily on junctional diversity. Given that large fractions of the repertoires of the less diverse antigen receptor chains are expressed in each fish, it is likely that minifish antigen receptors have evolved to function as dual-purpose devices, with the structurally limited receptor functioning as a kind of pattern recognition receptor tuned to a restricted set of antigens and with the more diverse receptor chains modulating the strengths of these interactions. This recognition mode may mitigate the risk of self-reactivity in the repertoire, especially when operating in concert with additional adaptations, such as the reduced signaling capacity of the CD3 complex.
The unique design of the antigen receptor repertoire described here appears to be an efficient solution for a miniaturized immune system, which must ensure immune protection with a relatively small number of lymphocytes. This strategy appears to have been deployed also in other situations; the dominant role of (semi-) invariant lymphocytes in minifish is reminiscent of the structure of the T cell compartment in amphibian tadpoles that confers strong antiviral immunity despite its small size (46). Therefore, the immunogenetic features described here may also be found in the microhylid frog Paedophryne amauensis, which rivals minifish in miniature body size (47). However, even in humans, a certain degree of publicity of TCR clonotypes is not uncommon (7, 36, 48), with T cells expressing semi-invariant receptors, such as iNKT (37) and mucosa associated invariant T (MAIT) (49) cells representing extreme examples of evolutionary exploitation of the same general principle.
Last, our analysis of the minifish immune system lends strong support to the notion that the self-similar (fractal) nature of the antigen receptor repertoire is a general property of the vertebrate immune system. This finding has important functional implications. First, a fractal design provides the flexibility required to accommodate immune systems with small or large number of lymphocytes (50); the body mass (and likely also lymphocyte numbers) of human and minifish differs by seven orders of magnitude. Second, a fractal organization confers robustness to the system when cells are lost (51) or clonally fluctuate, which are the functional equivalents of transient relative expansion and corresponding diminutions of individual clones that are typically associated with immune responses. No information is available about the characteristics of the immune response in minifish; however, our simulations suggest that network structures are stable even when a considerable fraction of clonotypes is lost. These unique features ensure the maintenance of overall immune reactivity even in the face of significant perturbations (physiological transient expansion/contraction of clonotypes; loss of lymphocytes as a consequence of cytopathic insults), helping to explain the remarkable success of adaptive immunity in vertebrates of vastly different body sizes.
All fish work followed the Guidelines on the Care and Use of Animals for Scientific Purposes of the National Advisory Committee for Laboratory Animal Research in Singapore. Work with minifish was approved under permit number 065/06. Minifish specimens were collected from the Sumatran Singkep Island, supplied by a local dealer, and kept in the laboratory (23) before they were flash-frozen in liquid nitrogen and used for DNA and RNA extraction.
Genomic DNA was extracted from a male and a female individual each using the phenol/chloroform extraction method, followed by ethanol precipitation. One microgram of DNA was used to prepare a polymerase chain reaction (PCR)free library using the KAPA HyperPrep Kit (Kapa Biosystems, Wilmington, MA). The DNA was sheared using M220 Focused-ultrasonicator (Covaris, Woburn, MA), followed by double-sided size selection with Agencourt AMPure XP (Beckman Coulter, Brea, CA) to obtain 500base pair (bp) inserts. For the male minifish, a total of 140 million paired-end reads of 250-bp length were generated on an Illumina HiSeq 2500 platform. These reads were quality filtered for low-complexity sequences resulting in ~138 million paired-end reads. For the female minifish, the same pipeline resulted in ~175 million good-quality paired-end reads. Details on the estimation of genome size and heterozygosity levels, genome assembly (scaffolding, gap-filling, evaluation of completeness, repeat content prediction, and annotation), and RNA sequencing (RNA-seq) are reported in Supplementary Materials and Methods.
Total RNA from four minifish individuals were extracted separately using the TRIzol reagent (Life Technologies, Carlsbad, CA, USA) according to the manufacturers protocol. The RNA was treated with deoxyribonuclease I (New England Biolabs, Ipswich, MA, USA) before cDNA synthesis. Fifty percent of the total RNA extracted from each fish (~3 to 8 g) was used for cDNA synthesis in reactions containing no more than 0.5 g of total RNA. cDNA synthesis was performed using the SMARTScribe Reverse Transcriptase (Clontech, Mountain View, CA, USA) with an oligo-dT primer (5-AAGCAGTGGTATCAACGCAGAGTTTTTTTTTTTTTTTTTTTTTTTTVN) and SMARTer_Oligo_UMI primer (5-AAGCAGUGGTAUCAACGCAGAGUNNNNUNNNNUNNNNUCTT[rGrGrGrGrG]) according to the SMARTer RACE 5RACE protocol (Clontech, Mountain View, CA, USA). The SMARTer_Oligo_UMI is a hybrid primer with riboguanosines representing the last five bases and the remainder representing deoxyribonucleotides, including the U (deoxyuracil); the Ns represent the bar code. The cDNA synthesized was treated with uracil-DNA glycosylase before all reactions from the same individual were combined together. The combined cDNA was purified using the QIAquick PCR Purification Kit (QIAGEN, Hilden, Germany), eluted with 70 l of diethyl pyrocarbonate (DEPC)treated water, and vacuum-dried.
The cDNA samples were reconstituted in 100 l of DEPC water, and 64 l each was used in 32 amplifications of antigen receptor gene transcripts, essentially according to the protocol of Turchaninova et al. (52), except that Illumina multiplexing primer sequences p5 (5-ACACTCTTTCCCTACACGACGCTCTTCCGATCT) and p7 (5-GTGACTGGAGTTCAGACGTGTGCTCTTCCGATCT) were appended to the 5 ends of their second reaction primers. In this way, a total of approximately one-third of the original total RNA material per fish was subjected to analysis. The first round of PCR amplification was carried out in multiplex manner: 1 Q5 buffer, 0.5 mM deoxynucleoside triphosphate (dNTP), 0.2 M UPM_S primer (5-CTAATACGACTCACTATAGGGC), 0.04 M UPM_L primer (5-CTAATACGACTCACTATAGGGCAAGCAGTGGTATCAACGCAGAGT), and 0.2 M of each gene-specific primer (GSP), 2 l of cDNA, water to 49.5 l, 0.5 l of Q5 Hot Start High-Fidelity DNA Polymerase (New England Biolabs); 98C for 90 s followed by 23 cycles of 98C for 10 s, 65C for 20 s, and 72C for 45 s, followed by 8-min final extension at 72C. GSPs used in the first round were Mf_a_R_1 (tcra, 5-CCAAAAAGCCGCCGTGCTGCTTAACGC), Mf_b_R_1 {tcrb1 [in cyprinids, few transcripts contain Cb2 sequences (32)], 5-CTGAAGCCACACATGTGAGTGTCCGGTG}, Mf_g_R_1 (tcrg, 5-CCAGCTGCATCTTTCCATTCTCCCGTGCTG), Mf_d_R_1 (tcrd, 5-CAGTTCTCAATGGGGGAATCGTTGAAGCCAGC), and OBG_101(igm, 5-CTCAGTGAGCTGATTCTGGTG). Amplicons were size-separated on agarose gels, the region between 500- and 1000-bp excised, and the DNA was extracted using the QIAquick Gel Extraction Kit (QIAGEN) following the protocol provided by the manufacturer (with two PE washes) and lastly eluted in 50 l of water. For the second round of PCR amplification, each target locus was amplified separately. For each locus, 2% of the first-round amplicon material (1 l) was used for 50 l of reactions, using 0.2 M (combined final concentration) of an equimolar mix of P7 + UPM_S_4N (5-gtgactggagttcagacgtgtgctcttccgatctNNNNCTAATACGACTCACTATAGGGC), P7, UPM_S_5N (5-gtgactggagttcagacgtgtgctcttccgatctNNNNNCTAATACGACTCACTATAGGGC), and P7 + UPM_S_6N (5-gtgactggagttcagacgtgtgctcttccgatctNNNNNNCTAATACGACTCACTATAGGGC) primers together with 0.2 M GSPs; other conditions were as for the first round except that amplification was performed for only 20 cycles at an annealing temperature of 55C. GSPs used in the second round were Mf_a_R_2 + P5 + 4 N (tcra, 5-acactctttccctacacgacgctcttccgatctNNNNCCATTGTCAACCTTGTAAATAGC), Mf_b_R_2 + P5 + 4 N (tcrb, 5-acactctttccctacacgacgctcttccgatctNNNNNTCTTACAACTCTCCTTAACATGGG), Mf_g_R_2 + P5 + 4 N (tcrg, 5-acactctttccctacacgacgctcttccgatctNNNNNNCTTGTCTTCTGACTGGTACACCGAC), Mf_d_R_2 + P5 + 4 N (tcrd, 5-acactctttccctacacgacgctcttccgatctNNNNCTTGGCAAGACTGACAGAACAGG), and OBG100 + P5 + 6 N (igm, 5-acactctttccctacacgacgctcttccgatctNNNNNNGACGATGGTCCAGATGGTG). The resulting material was purified with AMPure XP beads (0.65) and barcoded with NEBNext multiplex oligonucleotides for Illumina. Last, gel purification was used to avoid sequencing fragments shorter than 500 bp in the sequencer. Paired-end sequencing was performed in an Illumina MiSeq instrument at a read length of 300 bp.
Minifish MHC sequences were amplified from cDNA and sequenced on an Illumina MiSeq platform, after barcoding using the NEBNext multiplex oligos for Illumina (New England Biolabs).
For the extraction of the sequences, an R pipeline was developed that is available at GitHub (https://github.com/obgiorgetti/minifish). Briefly, unique molecular identifier (UMI) barcodes were used to account for the numbers of cDNA molecules by matching the sequences of UMI, CDR3 region (including the entire J sequence), and a V gene sequence identified from the dictionary search. Each unique combination of UMI, V, and CDR3 (including the J) was considered to represent a single cDNA molecule but was kept for analysis only if read at least three times and was otherwise discarded. Sequences with UMIs at a distance of one nucleotide and CDR3 sequences at a distance of two nucleotides or less were considered errors; in these instances, only the variant with highest numbers of reads was retained (note, however, that reads not considered after this cutoff are nonetheless contained in the deposited sequence collections to be found at http://www.ncbi.nlm.nih.gov/sra/PRJNA612865).
For repertoire analysis, the paired 5- and 3- ends of the molecules were not joined but mapped to the V segments separately. The CDR3 region of igm sequences was operationally defined as the sequences occurring between and including the characteristic C-terminal cysteine of V elements and the characteristic tryptophan residue in J region sequences; for tcr sequences, the CDR3 region was operationally defined as the sequences occurring between and including the characteristic C-terminal cysteine of V elements and the characteristic phenylalanine residue in J region sequences.
Given the random variables [S, complete Ig or TCR sequence; CDR3, defined as a sequence from and including cysteine to tryptophan (Ig) or phenylalanine (TCR) residues; V, V gene; J, J gene; L = CDR3 length (where sequence elements and their lengths are either amino acid or nucleotide residues)], we estimate the entropy H that a given Ig or TCR system S can generate as followsH(S)=H(CDR3,V,J)=H(CDR3V,J)+H(V,J)
For each l in LH(SL=l)=H(CDR3V,J,L=l)+H(V,JL=l)=H(CDR3L=l)I(CDR3;V,JL=l)+H(V,JL=l)however, instead of calculatingI(CDR3;V,JL=l)which would require a large number of clones for each V-J pair, we take the maximum value ofI(CDR3n;VL=l)orI(CDR3n;JL=l)for each position n of CDR3. This substitution is justified, because V and J have low mutual information content, as observed in our data (fig. S5).
The sum over all l in L giveslLp(l)H(SL=l)and lastlyH(S)=H(L)+H(SL)H(LS)where the H(L|S) is 0, because if the sequence is known, then its length is also known.
To generate a network of sequence similarity, clones where collapsed into one node when their amino acid CDR3 sequences were identical (irrespective of the particular V or J segments used in the assembly). Nodes representing CDR3 sequences at a Levenshtein distance of 1 were connected by edges, resulting in an undirected graph. Sequences containing stop codons and out-of-frame rearrangements were excluded from the analysis. For the network construction and analysis, the igraph package (53) was used. The code for the analysis is available at https://github.com/obgiorgetti/minifish.
Because no live specimens of this species were available for cytological and histological analyses, we instead measured the number of T lymphocytes in zebrafish of about 3 weeks of age, which are similar in size and body weight to minifish, assuming that the cyprinid body plan and the general structure of the hematopoietic tissues are conserved between these two species. In lck:CFP zebrafish [Tg(lck:CFP)/fr104Tg], the fluorescent reporter marks T lineage cells; on average, 36,885 14,794 (means SD; n = 7) cells were found, providing a numerical benchmark for the present analysis of the antigen receptor repertoires. The lck:CFP transgene was constructed by cloning a 5.8-kb fragment (54) upstream of the ATG initiation codon situated in exon 2 of the zebrafish lck gene into the pCS2:CFP vector (55).
To avoid erroneous conclusions when analyzing a possible overlap of clonotypes between individuals, we assessed the degree of genetic relatedness by determining partial sequences of their mhc genes using the primers listed below. Reverse transcription PCR reactions were carried out under the following conditions: 1 Q5 buffer, 0.2 mM dNTP, 0.25 M of each GSP, 0.2 l of cDNA (equivalent to 1/1500 of total RNA), water to 49.5 l, 0.5 l of Q5 Hot Start High-Fidelity DNA Polymerase (New England Biolabs); 98C for 90 s followed by 32 cycles of 98C for 10 s, 55C for 20 s, 72C for 40 s, followed by 8-min final extension at 72C. mhc1 sequences were amplified using primers MHC1a.5_F (5-CACGGCCTCGTCAGGAATC) and OBG 28 (5-CAAGAGACACGTCCTCGTGAAC); mhc2a sequences were amplified using primers OBG33 (5-GTTACTCTGCCTGACTTCTCAG) and OBG38 (5-GTCGGTACTGACTCAGACTG); mhc2b sequences were amplified using primers OBG40 (5-TAGATGCCTCCACAGCGCTC) and OBG42 (5-GATTGTTGACGCTGGCGTGTTC), OBG40 and OBG43 (5-GAGTGGATCTGATAGTACCAGTC), OBG41 (5-CGATCTGAGTGACATGGTGTTC) and OBG42, and OBG41 and OBG43, respectively. Although the primers do not capture all mhc-related sequences, the results indicated the presence of distinct sets of partially overlapping sequences (fig. S6), suggesting that the four fish included in the present analysis are outbred individuals, rather than clonally related.
The sample size for animal experiments was limited by the availability of wild-caught specimens of this uncommon species. The code underlying the antigen receptor analyses is available at https://github.com/obgiorgetti/minifish.
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