Category Archives: Genome

A study of 124 advanced breast, lung and prostate cancer patients demonstrated that a new, high-intensity genomic sequencing approach can detect circulating tumor DNA at a high rate.

In the study, which was presented at the 2017 American Society of Clinical Oncology (ASCO) Annual Meeting, 89 percent of the patients had at least one genetic change detected in the tumor that was also detected in the blood.

Also, 627 genetic changes found in tumor samples were also found in blood samples using this new approach.

Our findings show that high-intensity circulating tumor DNA sequencing is possible and may provide invaluable information for clinical decision-making, potentially without any need for tumor tissue samples, lead study author Dr. Pedram Razavi, Ph.D., a medical oncologist and instructor in medicine at Memorial Sloan Kettering Cancer Center, said in a statement. This study is also an important step in the process of developing blood tests for early detection of cancer.

Razavi said the approach is not intended to be commercially available to patients and the researchers will now use the technology to potentially develop a blood test for early cancer detection.

The researchers used a combination of breadth and depth by scanning a very broad area of the genome508 genes and more than two million base pairs or letters of the genomewith high accuracy, yielding about 100 times more data than other sequencing approaches.

In liquid biopsies, including commercial tests, only a relatively small portion of the genome are profiled. Those tests are also only used on patients already diagnosed with cancer in order to help monitor the disease or detect actionable alterations that can be matched to available drugs or clinical trials.

The researchers analyzed tumor tissues using MSK-IMPACTa 410-gene diagnostic test that provides detailed genetic information about a patients cancer. They also separated the plasma in blood cells and extracted cell-free DNA from the plasmas and separately sequenced the genome of white blood cells using the high-intensity, 508-gene sequencing assay.

Finding tumor DNA in the blood is like looking for a needle in a haystack. For every 100 DNA fragments, only one may come from the tumor and the rest may come from normal cells, mainly bone marrow cells, Razavi said. Our combined analysis of cell-free DNA and white blood cell DNA allows for identification of tumor DNA with much higher sensitivity, and deep sequencing also helps us find those rare tumor DNA fragments.

The test detected at least one genetic change in the tumor and the blood in 97 percent of the breast cancer patients, 85 percent of the lung cancer patients and 84 percent of the prostate cancer patients.

Prior research in the field has primarily focused on using knowledge from tumor tissue sequencing to identify specific changes to look for in circulating tumor DNA, Razavi said. This approach allows us to detect, with high confidence, changes in circulating tumor DNA across a large part of the genome without information from tumor tissue.

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ASCO 2017: Genomic Sequencing Approach Step Toward Early Cancer Detection - R & D Magazine

The Memorial Sloan Kettering Cancer Center (MSK) and Philips will exploit the latters IntelliSpace Genomics platform through their research collaboration to develop new genome analysis methods and informatics approaches for diagnosing pancreatic cancer and aiding personalized therapeutics. The collaboration will employ large-scale next-generation sequencing to generate new insights into the drivers of pancreatic cancer at the single-cell level, with the goal of enabling more precise diagnosis so that patients can be prescribed optimum treatments that target the cause of their disease.

Philips' IntelliSpace Genomics platform has been developed to support the implementation and scaling of informatics-heavy precision medicine research. "Collaborating with MSK and its experts will allow us to take a unique approach to diagnosing and treating this devastating disease, commented Henk van Houten, Ph.D., CTO at Philips. Leveraging the advanced capabilities of the Philips IntelliSpace Genomics solution we can gain new insights into the origin, development, and optimal treatment of pancreatic cancer and share these insights broadly with care providers to help improve outcomes for patients. Our ultimate goal is to translate these findings into more precise diagnostics and therapeutics to battle this devastating disease."

Philips and MSK have previously established a research collaboration in the field of radiation oncology. Just yesterday, MSK and Mabvax Therapeutics signed a research agreement to develop chimeric antigen receptor (CAR) T-cellimmunotherapies for pancreatic and small-cell lung cancer.

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Philips, MSK Partner on Genome Analytics for Pancreatic Cancer Precision Medicine - Genetic Engineering & Biotechnology News

India, which recently launched its tea genome sequencing project, is not going to replicate the work done by the Chinese but instead aims to develop climate-smart tea plantations with the genomic boost, an official said in Kolkata.

We launched the project in the first week of April and a Chinese group published a paper on their work a month later. Many are of the opinion that India has, perhaps, missed the bus. We are not replicating the work that China has done. Our target cultivar is Assam type (Camellia assamica) and that is Indian-origin tea, Biswajit Bera, Director (Research) at Tea Board of India, Union Ministry of Commerce and Industry said on Monday.

Once the project is completed, we are going to have a climate smart tea plantation wherein we will target development of tea cultivars according to our own need, he said. In a study that offers clues why tea is so popular worldwide, Chinese researchers announced on May 1 they have successfully sequenced the genome of the evergreen shrub Camellia sinensis, known as tea tree, for the first time, Xinhua reported.

The genus Camellia contains over 100 species, but the most popular varieties of tea, including black tea, green tea, Oolong tea, white tea, and chai, all come from the leaves of the evergreen shrub Camellia sinensis.

Indias tea genome mapping project involves six institutes three Tea Research Institutes, National Tea Research Foundation (NTRF), ICAR, CSIR. This exercise will help in the development of superior tea cultivars using genome sequence information, Bera said.

This will be a two-phased programme. We will generate huge genetic resource information which will be co-related with field data specifying different traits or characters. Like, for Darjeeling, we are targetting the disease blister blight. For different areas of tea plantation in India, we are targetting different traits which will be co-related with this genome sequencing. In addition, the genetic data will also aid in developing package and practices to overcome adverse climatic stress, Bera said.

Genome is the complete set of genes or genetic material present in a cell or organism. Genome mapping helps to decode the genetic controls linked to different characters of tea that govern its yield, quality and other attributes.

Bera, a botanist, said there are three main tea varieties: India tea (Assam), China tea and hybrid tea. Bera was speaking at a workshop on Sustainable Development of Tea-Gardens and Issues of Urban Wetland organised here by IIT Kharagpur and Indiana University of Pennsylvania.

Around 40 students and faculty from both institutions, who are jointly researching the tea gardens in North Bengal, participated in the event.

-IANS

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India's Tea Genome Mapping Not Linked with Chinese Study - NorthEast Today

An Arizona State University-led team of scientists has sequenced the genome of the Mojave desert tortoise (Gopherus agassizii), a long-lived species native to the Mojave Desert. The results could help the animal survive an increasing number of threats.

The Mojave desert tortoise (Gopherus agassizii). Image credit: Sandra Leander, Arizona State University.

The Mojave desert tortoise, one of six species of desert tortoises estimated to have arisen in North America about 35 million years ago, can be found in California, Nevada, Utah and Arizona.

Also known as the Agassizs desert tortoise, this species has been heavily impacted by habitat loss, a respiratory tract disease, and other anthropogenic factors. For instance, in one area of the species range density declined from about 225 individuals/km2 in 1979 to about 75 individuals/km2 in 1992.

The Mojave desert tortoise is listed as threatened under the U.S. Endangered Species Act and is considered vulnerable by the International Union for Conservation of Nature (IUCN).

To aid conservation efforts for preserving the genetic diversity of this species, Arizona State University Professor Kenro Kusumi and co-authors generated a whole genome reference sequence with an annotation based on deep transcriptome sequences of adult skeletal muscle, lung, brain, and blood.

The Mojave desert tortoise genome is an important resource for the conservation of this species, particularly because this population is suffering from a serious disease, said co-author Dr. Marc Tollis, also from Arizona State University.

Researchers dont yet fully understand its cause or what makes tortoises susceptible to it.

Decoding this genome will help us catalog which tortoise genes are evolving quickly enough to help them overcome this threat.

The researchers obtained the genetic data for a particular tortoise specimen, assembled and annotated the genome and learned about the evolutionary history of tortoises.

Decoding a genome has gotten technically a lot easier, Prof. Kusumi said.

Whats challenging now is decoding the information in the tortoise genome. We can use clues from similarities with the mouse and human genomes.

Finding the proverbial needle in the haystack would be to identify the genes that direct the immune response to infectious disease, as well as the ability to survive the harsh conditions of the Mojave Desert.

Its important for us to learn where tortoise diversity is located across its geographic range, he added.

Identifying hotspots of genetic diversity helps manage the species from a conservation standpoint and preserve tortoise populations that could respond better to unknown challenges in the years ahead.

The team is also analyzing the genetic differences between the Mojave desert tortoise and its sister species, the Sonoran desert tortoise (Gopherus morafkai).

My hope is that this study will enable other agencies to ask new questions, questions they would not have been able to ask without this research, said co-author Dr. Greer Dolby, also from Arizona State University.

For instance, What immune genes do tortoises have to fight pathogens? How does their immune system function in an environment with lots of threats? And, how might a changing environment impact this? These are important questions to answer in managing the species. Now, we can begin investigating.

The findings were published online May 31, 2017 in the journal PLoS ONE.

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M. Tollis et al. 2017. The Agassizs desert tortoise genome provides a resource for the conservation of a threatened species. PLoS ONE 12 (5): e0177708; doi: 10.1371/journal.pone.0177708

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Researchers Sequence Genome of Mojave Desert Tortoise - Sci-News.com

Journal of Biomedicine

Theranostics

International Journal of Medical Sciences

Journal of Cancer

Oncomedicine

Journal of Genomics

Journal of Bone and Joint Infection (JBJI)

Nanotheranostics

Int J Biol Sci 2007; 3(3):153-165. doi:10.7150/ijbs.3.153

Review

Kefei Chen1, Tara Baxter1, William M. Muir2, Martien A. Groenen3, Lawrence B. Schook14

1. Department of Animal Sciences, University of Illinois at Urbana-Champaign, 1201 W. Gregory Dr., Urbana, IL 61801, USA 2. Department of Animal Science, Purdue University, West Lafayette, Indiana 47907-1151, USA 3. Animal Breeding and Genetics Group, Wageningen University, PO Box 9101, Wageningen, 6701 BH, The Netherlands 4. Institute for Genomic Biology, University of Illinois at Urbana-Champaign, 1206 W. Gregory Dr., Urbana, IL 61801, USA

The pig, a representative of the artiodactyla clade, is one of the first animals domesticated, and has become an important agriculture animal as one of the major human nutritional sources of animal based protein. The pig is also a valuable biomedical model organism for human health. The pig's importance to human health and nutrition is reflected in the decision to sequence its genome (3X). As an animal species with its wild ancestors present in the world, the pig provides a unique opportunity for tracing mammalian evolutionary history and defining signatures of selection resulting from both domestication and natural selection. Completion of the pig genome sequencing project will have significant impacts on both agriculture and human health. Following the pig whole genome sequence drafts, along with large-scale polymorphism data, it will be possible to conduct genome sweeps using association mapping, and identify signatures of selection. Here, we provide a description of the pig genome sequencing project and perspectives on utilizing genomic technologies to exploit pig genome evolution and the molecular basis for phenotypic traits for improving pig production and health.

Keywords: Alternative splicing, Association mapping, Domestication, Genetic diversity, Genome sequencing, QTL, Selection, Selective sweeps, SNPs

The recent completion of the human genome sequence provides a starting point for understanding genetic complexity and elucidating genetic variations contributing to diverse traits and diseases. Pigs are even-toed ungulates belonging to the order artiodactyla, an order phylogenetically closer to primates than rodentia [1]. A separate suborder, the suina includes hippopotamuses, peccaries and pigs. All pigs are members of the suidae family. The pig is of particular interest in evolutionary studies not only because existing pig breeds show great phenotypic varieties for morphological, physiological and behavior traits but also because the wild ancestors of domesticated pigs and a convenient number of outgroup species are still present in the world. The pig (S. scrofa domesticus) was domesticated from S. scrofa, a wild boar, approximately 9,000 years ago in multiple regions of the world [2-4]. These domestication events were separated not only by 1000s of kilometers but also by 1000s of years. During the past decade, there has been an increasing interest in detecting genes and genomic regions in human and other organisms. Domestic animal species have experienced strong selective pressures directed at genes or genomic regions controlling traits of biological, agricultural, or medical importance following their domestication and subsequent episodes of selective breeding. Consequently, these genes or genomic regions are expected to exhibit signatures of selective breeding. Pigs offer a unique opportunity to identify genes or genomic regions encoding quantitative trait loci (QTLs) since they have been through recent and strong selective sweeps targeted at phenotypes to improve agricultural performance and disease resistance.

The pig whole genome sequencing project has been launched in the early of 2006 initiated by the Swine Genome Sequencing Consortium (SGSC) (http://www.piggenome.org/). In addition to providing important evolutionary information, the availability of the pig whole genome sequence will contribute toward revealing the molecular mechanisms controlling phenotypes and play an increasingly significant role in pork production, by integrating 'omics' techniques and bioinformatics tools to reduce the incidence of disease and respond more rapidly to the changing demands of consumers.

S. scrofa is one of the most globally widespread mammalian species. It has long been assumed that the force driving evolution was domestication and natural selection. Domestic pigs are found in a globally wide range of environments. Several features, including teeth and skull morphology, external proportions, hair and colour patterns, biochemical and molecular polymorphisms, ecology and behaviour, reproductive isolation and natural areas, are used for discriminating the many species in the genus Sus. S. scrofa is classed into a large number of subspecies, but the number is uncertain and depends on the definition of the subspecies. It has been possible to discriminate more than 16 distinct subspecies, each occupying distinct geographical areas [5-8].

Domestication is the process of genetically adapting a wild biological organism to better suit the needs of human beings, as a result of living and breeding conditions under careful human control for multiple generations [9]. Pig domestication has been an integral part of the rise of agriculture and the adoption of the agricultural practices throughout much of the world. Insights into the evolution and spread of the pig are likely to deepen our understanding of the origins and spread of livestock agriculture and the rise of early human civilization. The earliest remains of domesticated pigs have been excavated at ayn in southeast Anatolia dated to 7,000 BC [10]. According to most traditional but arguable views based on extensive zooarcheological record [6], the domestic pig originated in the near east and spread west to Europe and east to China. However, recent preliminary research using mitochondrial DNA (mtDNA) sequences from samples of Eurasian wild boars and various breeds of domestic pigs has provided evidence to support a multiple and independent domestication hypothesis [2, 3]. Additional recent mtDNA data from the analysis of 685 individuals including wild boars, feral and domestic pigs across Eurasia also support the hypothesis that the pig domestication occurred independently in the world at diverse geographic locations across Eurasia: three from Far-East (two in China, additional ones in Thailand/Burma and northern India), one from Island South-East Asia (Wallacea), and two from Europe [4]. These results also suggest that the S. scrofa as a species originated from islands in South-East Asia (Phillippines, Indonesia), where they dispersed across Eurasia, and with little or no importation of Near East domestic pigs into Europe by early farmers.

Domestication also provides rapid phenotypic evolution through artificial selections. Pig domestication has resulted in highly modified morphological architectures and has caused several major changes in physical types, e.g. one of the earliest results of domestication was a decrease in skeletal size [6]. However, it could be argued that size differences in various areas of the world may have arisen from environmental diversity such as feed resources. Improvement after domestication has also resulted in striking changes in yield, biochemical composition, and other traits. Most domesticated animals have experienced a domestication bottleneck with reduced genetic diversity relative to their wild ancestor(s). This bottleneck affects all genes in the genome and modifies the distribution of the genetic variation among loci. The magnitude and variance of the reduction in genetic diversity across loci provide insights into the demographic history of domestication.

The pig represents a domesticated animal that has both a convenient number of outgroup species nicely spaced in evolutionary distance, as well as surviving wild conspecifics (see Figure 1). This renders the pig as perhaps one of the most suitable animal species for inferring ancestral mutations as well as determining the fate of derived states and selective processes. Ancestral mutations are important because: (i) the probability that an allele is ancestral is equal to its frequency and (ii) strong positive selection results in regions with reduced heterozygosity and an excess of derived alleles. Since in the case of the pig, it is still unclear as to what constitutes the nearest living relative (likely S. barbatus) and the age of the species S. scrofa relative to some of it's nearest relatives, it is critical to compare S. scrofa with several related species (e.g. S. barbatus, S. celebensis, S. verrucosus, African warthog) that fall within a range of 1 to 6 million years ago (MYA) of inferred evolution [11-14] (Figure 1).

Darwin (1859) clearly believed both nature and artificial selection shaped breeds, The key (to domestic breeding) is man's power to accumulative selection: nature gives successive variations; man adds them up in certain directions useful to him [15]. Human and novel environmental pressures during pig domestication have been principally responsible for the generation of inter-breed genetically variation and for the formation of many unique breeds. Domestic pig diversity has evolved over millions of years through the processes of natural and artificial selections forming and stabilizing each of the species used in food and agriculture. Over the more recent millennia, interactions between environmental and human selection have led to the development of genetically distinct breeds. Artificial selection in a targeted gene is similar to a more severe bottleneck that removes most of the genetic variation from a targeted locus.

Over the centuries, global pig farming in different environmental conditions has resulted in breeds with traits such as heat/cold tolerance and disease resistance, which favor their survival under environmental stresses. Farmers have also been breeding for a variety of attributes with a major focus on productivity traits such as meat yields and fertility. To date, there are likely over 730 pig breeds or lines worldwide of which two thirds reside in China and Europe and over 270 are considered as endangered or critical (Table 1 and Figure 2) [8]. Currently, 58 pig breeds are recorded as transboundary (occuring in more than one country) including 25 regional transboundary breeds and 33 international transboundary breeds. The worldwide distribution of pigs is dominated by five international transboundary pig breeds from the United States (US) or Europe i.e. Large white (117 countries), Duroc (93 countries), Landrace (91 countries), Hampshire (54 countries) and Pietrain (35 countries) [16]. Pig breeds vary greatly in size, color, body shape, ear carriage, behavior, prolificacy, and other traits. In order to meet future challenges in the agricultural and food industries, special efforts are required to conserve genetic resources. Therefore, phylogenetic studies aimed to evaluate the genetic uniqueness and pig breed diversity will assist in developing a rational plan for breed conservation programs. A set of criteria in an attempt to choose specifically breeds for conservation has been suggested including two essential criteria. These include the degree of endangerment and the genetic uniqueness of the breed [17]. In addition, the origin and history of domestic pigs can also be explained by phylogenetic analysis. Independent domestication has occurred from wild boar subspecies in Eurasia, and through the introgression of Asian germplasm into European domestic breeds that occurred during the 18th and early 19th centuries [9, 18].

When selective pressure is applied to individuals, it ultimately leads to the changes in the underlying genetic content of the population [19]. Individuals that carry a more favorable genotype would outcompete their peers, resulting in the fixation of beneficial alleles in the population with concomitant removal of inferior alleles. Two primary approaches have been utilized to identify and study genes or gene pathways. First is a conventional candidate gene approach which represents a gene selection based on comparative mapping and gene function. The second approach is whole genome scans to identify genomic regions under selection through association mapping, i.e. associating phenotypes with genotypes. A third approach involves identification of genomic patterns due to selective sweeps whereby large-scale high density single nucleotide polymorphism (SNP) haplomap on a specific region from diverse populations along with wild ancestral outgroup species or a panel of genes that might be associated with traits. The identification of the causative mutation for the insulin-like growth factor 2 (IGF2) QTL in pigs is an excellent application using these combined approaches [20]. Furthermore, by using comparative genomic data sets from different breeds containing wild ancestral species, several interesting genotype-phenotype relationships in domestic animals have been recently illustrated [21-28].

A selective sweep results in the elimination of surrounding variation in regions linked to a recently fixed beneficial mutation. For instance, the muscle-favoring mutation in the porcine IGF2 gene (intron3-3072G/A) has swept through commercial pig populations, but is not present in the tested Asian or European wild boars [20]. More recently, a naturally occurring G to A transition in the 3' untranslated region of the myostatin gene creates a target site for mir1 and mir206 microRNAs (miRNAs) affecting muscularity in sheep, and a selective sweep has been detected in the hypermusculed Texel sheep [28]. The identification of selective sweeps is interesting, not only because it elucidates important evolutionary questions, but also because of the increasing evidence linking selection and disease genes [29, 30]. The beneficial substitution of an allele shapes patterns of genetic variation at linked sites, and may provide important insights into (i) the mechanisms of evolutionary change; (ii) guide selection of loci for population genetic studies; (iii) facilitate significant genomic regions; and (iv) help elucidate genotype-phenotype correlations in complex traits [31].

Genome scans for detecting signatures of selective sweeps in natural populations have been proposed as a phenotype independent approach to identifying adaptive trait loci even when gene function or phenotype of interest are unknown [32]. There are many different methods available for detecting selective sweeps from DNA sequence data [29, 33-36]. Hitchhiking mapping provides a universal approach for the identification of important mutations and selective sweeps. Hitchhiking is a phenomenon known as neutral variants linked to the beneficial mutation are also affected by a selective sweep [37]. This approach has been very successful for identification of selective sweeps at several genes [38, 39]. More information about genes causing the sweep can be obtained if divergent populations are compared, particularly if the populations have been exposed to well-known selection regimes. Similar comparisons could be performed for hitherto uncharacterized, commercially important traits, such as fat content in pigs. The most ambitious goal of hitchhiking mapping is the identification of quantitative trait nucleotides (QTNs) that confers the selective advantage [32].

Comparative genomic analysis of different domestic breeds can prove an efficient way of exploiting the genetic basis of phenotypic variation [40]. Phylogenetic studies can reconstruct the correct genealogical ties between species and estimate the time of divergence between two organisms since they last shared a common ancestor.

To help understand the animal evolutionary history and genetic diversity, a variety of genetic markers can be utilized. Genetic markers can generally be grouped into two types based on their association with functionality: type I markers are DNA segments encoding for expressed DNA sequences which possess a relatively low degree of polymorphism but high evolutionary conservation, whereas type II markers usually have no identifiable biological function but they are highly polymorphic and not well conserved between species. The comparison of the characteristics of main classes of genetic markers is shown in Table 2 [41-43]. As one of the most widely used marker types, microsatellites (also called simple sequence repeats, SSRs), are characterized as having a short motif, generally from 1 to 6 bp, are commonly regarded as junk DNA; however, SSRs have served as one of the most important markers for genome mapping as well as phylogenic studies. SSRs have been more recently proposed to modify genes with which they are associated. The influence of SSRs on gene regulation, transcription and protein function typically depends on the number of repeats, while mutations that add or subtract repeat units are both frequent and reversible. Over the past decade, it have been demonstrated that SSR variation has been tapped by natural and artificial selection to affect almost every aspect of gene function [44]. In addition, mtDNA is a widely used molecular tool in domestication studies, but it suffers from the limitations of poor information for the whole genome and the loss of male-mediated gene flows by its maternal inheritance patterns.

To date, a number of molecular markers have been used for genetic diversity and phylogenetic analysis in pigs including SSRs [45-49], AFLPs [50, 51], SNPs [52, 53] and mtDNA genotyping [2-4, 54-61]. SSR markers have been largely used in phylogenetic studies and to measure differences within breeds, however due to their neutral properties, they are poorly correlated with phenotypic changes due to selection. Very recently the use of gene markers has attracted more researchers as variation in these allele frequencies may provide information related to functional differences between breeds. Phylogenetic studies using gene markers or SNPs associated with traits of interest are relevant for breed conservation and potential breeds efficiently for the future production markets. Moreover, mtDNA maternally inherited is useful for tracing the maternal lineages in populations. Alternatively, variable sequences on the Y chromosome are useful to measure breed history and phylogenetic origins, although it is much less variable within species than most other genomic sequences [62]. The largest ongoing project on biodiversity studies of pig breeds is the European Union (EU) pig biodiversity project II (PigBioDiv II), which will evaluate and compare genetic diversity among at least 100 pig breeds originated from China and Europe [49-51, 53, 60, 61]. The project not only determines the relationships between breeds by estimating genetic distances, based on SSR markers and haplotypic relationships from mtDNA and Y chromosome polymorphisms, but also determines functional differences among breeds by characterizing trait gene loci and QTL regions.

Over the past years, our understanding of the pig genome has rapidly evolved from the localization of genes on specific chromosomes to high density marker maps, and now the pig whole genome is being completely sequenced which represents a key milestone to exploit the pig genome evolution and decipher the molecular basis of various phenotypic traits.

The availability of large-insert libraries [63-68] allows for a more targeted approach to physical and comparative mapping. Over 620K BAC end-sequences (BES) with an average read length of 635 bp have provided a previously untapped source of both coding and noncoding porcine sequence information [69]. The first high-resolution, physically anchored, contiguous whole genome radiation hybrid (RH) comparative maps of the porcine autosomes were constructed by using physically anchored sequences derived from BACs [70]. Furthermore, a physical map of the pig genome by integrating 265K restriction fingerprints and BES generated from 4 BAC libraries with RH markers, and contig alignments to the human genome was recently constructed with coverage across the 18 pig autosomes and the X chromosome in 176 contigs with an average length of 15 Mb as well as localised representation of the gene rich regions on Y. The map represents an entry point for rapid electronic positional cloning of genes and fine mapping of QTLs, and also provides a platform for the selection of an efficient minimum tiling path (MTP) through the genome to support clone-based sequencing and targeted functional genomics studies (http://www.sanger.ac.uk/Projects/S_scrofa/WebFPC/porcine/large.shtml). Exploitation of this resource as well as the complete human sequence and bioinformatics tools permit the establishment of an ordered list of unique sequences from which to select evenly spaced markers prior to mapping [69].

With the development of molecular markers, porcine genomic maps have been largely enriched in the last few years. The pig genome database has entries for over 4,000 loci including more than 1,588 genes and 2,493 markers (http://www.animalgenome.org/pig/). However, while the average distance between markers is about 2 - 3 cM, some large gaps still exist in the pig genetic linkage map (http://www.marc.usda.gov/genome). The physical map for pigs as for other farm animals lagged behind initially. With the use of a somatic cell hybrid panel [71] and a 7,000 rad (IMpRH) or recently of a 12,000 rad (IMNpRH2) RH panel [72-74], the physical map has been growing rapidly and contains now over 10,000 genes and markers [75]. The publicly available information related to pig genomics and proteomics is shown in Table 3.

The pig whole genome is currently being sequenced by The Wellcome Trust Sanger Institute through funding provided by Cooperative State Research, Education and Extension Service at the United States Department of Agriculture (CSREES-USDA) (target of 3X genome coverage sequencing by January 2008) [76]. This project uses a clone-by-clone sequencing strategy, based on the MTP of BAC clones. The planned order of contig selection for sequencing is: (i) SSC7, SSC14 and SSC4 are highest priority since additional EU funding targeting these chromosomes started earlier; (ii) SSCX, since it will be more challenging to complete and require increased depth sequencing; and (iii) SSC1, SSC11, SSC17, SSC5, SSC6, SSC2, SSC3, SSC8, SSC9, SSC10, SSC12, SSC13, SSC15, SSC16, and SSC18. To date, a total of 7,321 CHORI-242 clones have been selected and used to generate initial shotgun sequencing data (> 52% of the swine genome) (Table 4). Since the CHORI-242 represents a female Duroc pig, 495 additional BACs with at least one BES anchored on chromosome X or Y from the French National Institute for Agricultural Research (INRA) BAC library was selected for sequencing the chromosome Y. A total of 1,660 accessioned clones have generated > 287 Mb of sequence. A pre-finishing strategy is being employed for gap closure and ambiguity resolution. Automated annotation will be used after the entire chromosome has been sequenced (http://www.piggenome.org/).

To take advantage of the emerging genome sequence and the characterization of new QTLs, there is an increasing need for improving the process of SNP discovery to define haploblocks in unique germplasms. Thus, a discovery platform that exploits ancestral chromosomes for unique SNP discovery would expedite SNP discovery for exploitation in breeding. Also there is a need for a united, global initiative that captures and utilizes the broadest porcine germplasms. Porcine SNP discovery is ongoing and several large projects have been completed (Sino-Danish) or are currently being initiated by INRA-Genescope in conjunction with SGSC pig genome sequencing project [76]. Within the Sino-Danish initiative [77], 3.84 million sequences have been generated using 5 different breeds (Duroc, Erhuanlian, Hampshire, Landrace and Yorkshire) and within the Genescope initiative, 1 million sequences are being generated from 7 different breeds (Iberian, Landrace, Meishan, Minipig, Pietrain, Wild boar and Yorkshire) [77, 78]. However, the discovery of SNPs using a limited pool of independent germplasm limits the potential to identify QTLs using genome-wide SNP sweeps and the ability to identify traits highly difficult to phenotype (reproduction, disease resistance) or marker-associated introgression of traits from wild-type alleles into commercial breeding populations. This supports the need for an alternative strategy to generate informative SNPs for use in commercial populations. In addition, the EU PigBioDiv II has provided significant insights into the multiple origins of the pig and phenotypic variation associated with geography, breeding and husbandry practices. Using 1,536 SNPs, distributed across the genome for genotyping 672 DNA samples, it has been demonstrated that the utility of SNPs is being able to define haploblock structure and extending linkage disequilibrium (LD) into genomic regions where genes controlling agricultural traits have been selected [53].

The relationship between genome size and organismal complexity remains unanswered. The C-value (genome size) paradox is that genome size does not correlate closely with organismal complexity [79]. However, the genomes of more complex organisms are, on average, larger than the genomes of less complex. The C-value of the domestic pig varies from 2.81-3.51 measured using various cell types and by different methods [80-82]. The pig genome comprises 18 autosomes and X/Y sex chromosomes with a size of 2.7 gigabases (Gb) estimated by integration of BES and fingerprints [69, 76]. Comparative genomic analysis indicates that organismal complexity arises from progressively more elaborate regulation of gene expression, and physiological/ behavioral complexity correlates with the likely number of gene expression patterns exhibited during an animal's life cycle [83]. The unexpectedly high frequency of alternative splicing (AS) events has been proposed to be an attractive mechanism for increasing gene expression patterns and consequently for the organismal complexity in eukaryotes [84, 85]. As one of the most exciting recent discoveries in the field of genomics, the ultraconserved regions that are not functionally transcribed in mammalian genomes, has been suggested to play important role as transcriptional regulatory elements, and account for the complexity of gene regulation [86-89]. This is particularly evident for some genes involved in embryonic development. Another mechanism for increasing organismal complexity was suggested to be DNA arrangement where genes themselves are rearranged during cellular differentiation [90].

Genome organization has traditionally been inferred using two approaches: cytogenetics mapping and genetic-linkage or physical mapping [91]. Comparisons of G-banded chromosome patterns were first used to infer homologies of whole chromosomes or subregions between species and even across mammalian orders. Gene mapping utilizing somatic cell hybrids subsequently confirmed the large tracts of mammalian genomes were remarkably conserved, suggesting that transferring information from species such as human and mouse, which have gene-rich maps, to the gene-poor developing maps of domestic animals is feasible [92]. Chromosome painting [or Zoo-fluorescence in situ hybridization (Zoo-FISH)] permits rapidly detecting entire chromosomal homologies across mammalian orders. Genetic linkage map are best suited to ordering polymorphic SSR markers, but less efficient for developing comparative maps since the limited degree of coding locus (type I markers) polymorphism observed within most interspecies crosses. Radiation hybrid (RH) mapping has proven to be an effective approach for the rapid ordering of evolutionarily conserved type I coding gene markers over the whole genome of various species [70, 74, 92, 93]. Genome sequence based comparative mapping is becoming a powerful approach to reveal the molecular basis for phenotypic variation as well as the evolutionary forces that have contributed to speciation, including underlying mutational processes and selective constraints [94-96]. In addition to comparative genome mapping, with the integration of genomics and phylogenetics, phylogenomic studies are progressing to resolve long-standing evolutionary/phylogenetic controversies, to refine dogma on how chromosomes evolve, and to guide annotation of human and other mammalian genomes [97].

Genome rearrangements: In eukaryotes, genome rearrangements, such as inversion, translocations and duplications, are common and range from gene segments to hundreds of genes. In most eukaryotes, there is a strong association between rearrangement breakpoints and repeat sequences. Rearrangement polymorphisms in eukaryotes are correlated with phenotypic differences, and proposed to confer varying fitness in different environments. There is little evidence that chromosomal rearrangements causes speciation, but probably intensify reproductive isolation between species that have formed by other routes [98]. A relatively large number of chromosomal abnormalities including inversion, translocation, duplication, fission and fusion have been identified in pig [93, 99, 100]. The chromosomal abnormalities are often responsible for a considerable decrease in prolificacy of the carrier animals. Recently, a bioinformatics tool was created to permit multi-species comparisons between the genomes of humans, horses, cats, dogs, pigs, cattle, rats, and mice (http://evolutionhighway.ncsa.uiuc.edu/). This provides a useful resource for evaluating pig evolution. A large set of reuse breakpoints were discovered and more than 20% of the discovered breakpoints have been reused during mammalian evolution. The eight species comparison showed that the historical rate of chromosome evolution in mammals was different than previously thought. The study demonstrated that evolutionary changes has been moving faster during the last 65 million years than for the prior 35 or so million years [92].

Transposable elements: Evolutionary biologists hypothesized that the earliest life originated via a system based on a self-replicating RNA genome and RNA catalysts [101]. The advent of polymerases that make DNA copies of RNA templates allowed the conversion of information from unstable ribose-based polymers to more stable deoxyribose-based polymers through the process of reverse transcription. It is now known that only approximately 1-2% of the human genome is comprised of exonic sequences. The remainder, so-called junk DNA, is composed largely of introns, simple repeat sequences and transposable elements or their remnants. In mammals, transposable elements account for nearly 50% of the genome [102, 103]. Transposable elements were historically dismissed as junk or selfish sequences parasitizing the genome of living organisms [104, 105]. This view has been challenged through a wave of new information demonstrating their emergence as contributors to the evolution and function of genes and genomes, and have a tremendous impact on an organism's phenotype [106-108]. These effects include drug response, disease susceptibility and evolution novelties between species. The most common genomic effect of transposable elements is the induction of mutation. Through their mobility and ability to recombine, transposable elements can generate various types of rearrangements and lead to insertions, deletions, duplications and inversions. In mammals, retrotransposon have been proposed to act as general modulators of gene expression and to play a role in X-chromosome inactivation [109, 110]. Transposable elements, first recognized as potential causal agents of human disease in 1988 [111], have evolved over millions of years and have achieved a balance between detrimental effects on the individual and long-term beneficial effects on a species through genome modification. It has been suggested that transposable elements play an important role through diverse ways in the event of shaping the genome to speciation [107].

Single nucleotide mutations: SNPs are abundant and widespread throughout the pig genome (coding and non-coding regions), and are rapidly becoming the marker of choice for many applications in population genomics, evolutionary analysis, conservation genetics, because of the potential for higher genotyping efficiency, data quality, genome coverage and cost-effective high throughput genotyping techniques. In most species, SNPs occur typically on average every 200-500 bp [43, 112-114]. About 90% of genetic variation has been ascribed to SNP allelic variants that occur at a frequency of > 1%. Within coding regions (~1-2%), nonsynonymous SNPs can be considered candidates for functional changes. The phenotypic effect of any particular SNP is rarely known and often can only be inferred based on the evolutionary dynamics of the variant or on its effect on protein function. The nonsynonymous (dN) : synonymous (dS) SNPs ratio (dN/dS also known as Ka/Ks) can then be taken as a measure of the strength of purifying selection on a gene or the entire genome. Even synonymous SNPs in protein-encoding genes can have functional implications. Although multiple codons can encode the same amino acid, some occur more frequently in the genome than is predicted by random (i.e. codon usage bias). Therefore, a SNP that causes a change from a more common or preferred codon to a rare or unpreferred codon can affect the efficiency of protein synthesis and expression. Most SNPs occurs in the non-coding portion of the genome, but can nevertheless be evaluated with regard to function. For example, the IGF2-intron3-G3072A substitution causes a major QTL effect on muscle growth in the pig [20], and explains a major imprinted QTL effect on backfat thickness in a Meishan European white pig intercross [115, 116].

A substantial fraction of the non-coding genome is conserved between species, suggesting that purifying selection acts on a large portion of the genome. Thus, SNPs can be evaluated based on their location in conserved versus non-conserved non-coding regions. Moreover, the regulatory regions of genes (e.g. promoters, enhances, silencers, insulators, miRNA binding sites) have been annotated using comparative and predictive algorithms, and thereby enabling the assessment of non-coding regulatory SNPs. For instance, SNPs that occur in the transcription factor binding sites of a promoter are more likely to affect function than SNPs that occur outside the regulatory region of a gene [28, 117]. Although ascertainment bias can be a problem with some applications, SNPs can generate equivalent statistical power whilst providing broader genome coverage and higher quality data than can either SSRs or mtDNA, suggesting that SNPs could become an efficient and cost-effective genetic tool.

Alternative splicing (AS), one of the most important and nearly ubiquitous mechanisms regulating gene expression in many organisms, occurs in the coding sequence, coordinates physiologically meaningful changes in protein structure and function and is a key mechanism to generate the complex proteome of multicellular organisms. AS results in two ways: (i) through skipping exons that encode a certain protein feature; and (ii) by introducing a frameshift that changes the downstream protein sequences. Recently, novel types of AS events have been proposed that either join two non-consecutive exons (creating a protein feature) or insert an exon into the protein body (destroying a feature) [118]. The effects of AS range from a complete loss of function or acquisition of a new function to very subtle modulations, which are observed in the majority of cases reported such as binding properties, enzymatic activity, intracellular localization, protein stability, phosphorylation and glycosylation patterns [119].

It has been estimated that 30-70% of mammalian genes are alternatively spliced [120-122], and that mammalian AS events frequently arise from the evolutionarily rapid loss or gain of exons from genomes [121, 123-125]. Variant splice patterns are often specific to different stages of development, particular tissues or a disease state [126]. Utilizing a highly predictive computational method over 11% of human and mouse alternative exons were estimated to represent species-specific AS events [127]. By comparing gene structure of orthologous genes in human and mouse genomes, it has been revealed that the majority (98%) of human constitutive and major forms of alternative exons are conserved in the genomic sequences of their mouse and rat orthologues [121]. By contrast, nearly 75% of the minor forms of alternative exons are not conserved, suggesting that AS is associated with a significant increase in the rate of exon creation and deletion in mammals, and plays a role on speciation events.

Splicing mutations have long been proposed to be the basis for a number of human diseases [128]. More recently, based on the disease-gene propensity of human genes in terms of their coding region length and intron number, it was estimated that ~60% of human disease mutations represent splicing mutations, the most frequent cause of hereditary diseases [129]. Although the importance of AS in various biological processes such as sex determination [130] and apoptosis has been known for a long time, genomics and in particular the shotgun sequencing expressed sequence tags (ESTs), have revealed its nearly ubiquitous role in gene regulation [85]. Genome sequencing has made it possible to study the evolutionary impact and constraints of AS [131].

Recently, it was estimated that according to sequence conservation patterns, the actual functional portion of the mammalian genome is at least 5% [103]. In mammals, using comparative evolutionary approaches it appears that functional elements are clustered mostly within ~2 kb surrounding protein-coding sequence [132, 133]. These observations help to paint a general picture of noncoding conservation and structure in the genome and are likely to be extremely helpful in focusing future detailed investigation. Given that the protein-coding fraction is approximately 1.5%, there is significant opportunity for identification of additional functional elements. Sequence conservation does not reveal the total fraction of the functional genome, but simply the fraction of the genome that has remained functional within the group of species compared. An additional fraction that is not conserved across larger evolutionary distances such as across all vertebrate lineages represent species-specific or lineage-specific genes. The best known functional fraction is the class of protein-coding genes. Regulatory elements and noncoding RNAs such as small interfering RNAs, (siRNAs) and miRNAs are considered two other significant functional classes of the mammalian genomes. Analysis of the human and mouse genomes has identified an abundance of conserved non-genic sequences (CNGs). The significance and evolutionary depth of their conservation remain unknown. A striking extremely high number of such elements is found in vertebrate gene deserts, defined as long regions (> 500 kb) containing no protein-coding sequences and without obvious biological functions [87-89]. It has been suggested that a global role of CNGs in genome function and regulation, through long-distance cis or trans chromosomal interactions [134].

Exploring the complete functional information encoded in a genome is a major challenge in biological research. Comparative genome analysis between the pig and related mammals could provide a powerful and general approach to identifying functional elements without previous knowledge of function and detect phylogenetic footprinting of pig genome evolution. A principal goal of genetic research is to identify specific genotypes that are associated with phenotypes and to conduct genome-wide genotyping on a massive scale. The advent of the complete genome sequencing along with gene prediction has resulted in the development of technologies that allow the assignment of genes to particular biological modules. Integration of 'omic' technologies including genomics, transcriptomics, proteomics and metabolomics will link genomics and system biology and accelerate the acquisition of fundamental knowledge about biology systems. The outputs of 'omics' research will change our approach to solving biological problems and result in novel uses of biotechnology to develop and improve products for agriculture. Advances in genome-phenome research will contribute to agriculture and food, bioengineering, biomedicine and health, conservation and the environment. Genome to phenome research for the pig is still at a very early stage, and requires enormous amount of work to understand the genetics and development of shape, specialization and organization at levels from cells to the whole individual.

Since the whole genome sequence of the pig will soon be available, comparative studies with the completed human genome, and other mammalian genomes having moderate to deep genome coverage (i.e. cow, horse, dog, mouse, rat and chimpanzee) will yield new information about the pig genome evolution. In the next decade, by utilizing approaches of comparative genomics, it will be possible to effectively select animals for agricultural purposes, create appropriate biodiversity conservation programs and create pig models for medical research. The utility of the pig in biomedical research affords many advantages compared with other animals such as mouse and rat i.e. (i) its similar size to humans (ii) sharing high similarities with human both anatomically and physiologically; and (iii) the ability to target gene manipulation and clone using nuclear transfer.

We would like to acknowledge the funding from USDA/NRI-CSREES AG2006-35216-16668, AG2005-4480-15939, AG2004-35205-14187, AG2002-3448-11828, AG2002-35205-12712, AG2001-3520-11698; USDA-ARS AG58-5438-2-313.

The authors have declared that no conflict of interest exists.

1. Jorgensen FG, Hobolth A, Hornshoj H, Bendixen C, Fredholm M, Schierup MH. Comparative analysis of protein coding sequences from human, mouse and the domesticated pig. BMC Biol. 2005;3:2

2. Giuffra E, Kijas JM, Amarger V, Carlborg O, Jeon JT, Andersson L. The origin of the domestic pig: Independent domestication and subsequent introgression. Genetics. 2000;154(4):1785-1791

3. Kijas JM, Andersson L. A phylogenetic study of the origin of the domestic pig estimated from the near-complete mtDNA genome. J Mol Evol. 2001;52(3):302-308

4. Larson G, Dobney K, Albarella U. et al. Worldwide phylogeography of wild boar reveals multiple centers of pig domestication. Science. 2005;307(5715):1618-1621

5. Groves CP. Ancestors for the Pigs. Canberra, Australia: Australian National University Press. 1981

6. Epstein J, Bichard M. Pig. In: (ed.) Mason IL. Evolution of Domesticated Animals. New York: Longman. 1986:145-162

7. Ruvinsky A, Rothschild MF. Systematics and evolution of the pig. In: (ed.) Ruvinsky A, Rothschild MF. The Genetics of the Pig. Oxon, UK: CAB International. 1998:1-16

8. FAO SoW-AnGR. The State of the World's Animal Genetic Resources for Food and Agriculture. 1st ed. Rome: FAO. 2006

9. Darwin C. The Variation of Animals and Plants Under Domestication. 1st ed. Lodon, UK: John Murray. 1868

10. Reed CA. The pattern of animal domestication in the prehistoric Near East. In: (ed.) Ucko PJ, Dimbleby GW. The Domestication and Exploitation of Plants and Animals. London, UK: Duckworth. 1969:361-380

11. Randi E, Lucchini V, Diong CH. Evolutionary genetics of the suiformes as reconstructed using mtDNA sequencing. J Mamm Evol. 1996;3:163-194

12. Groves CP, Schaller GG, Amato G, Khounboline K. Rediscovery of the wild pig sus bucculentus. Nature. 1997;386:335

13. Fokkinga A. Het Varkensboek. The Netherlands: Uitgeverij Thoth. 2004

14. Robins JH, Ross HA, Allen MS, Matisoo-Smith E. Taxonomy: Sus bucculentus revisited. Nature. 2006;440(7086):E7

15. Darwin C. On the Origins of the Species by Means of Natural Selection, Or the Preservation of Favoured Races in the Struggle for Life. UK: John Murray. 1859

16. Domestic Animal Diversity Information System. 2006 DAD-IS. http://www.fao.org/dad-is/

17. Ruane J. A critical review of the value of genetic distance studies in conservation of animal genetic resources. J Ani Breed Genet. 1999;116:317-323

18. Jones GF. Genetic aspects of domestication, common breeds and their origin. In: (ed.) Rothschild MF, Ruvinsky A. The Genetic of the Pig. Oxon, UK: CAB International. 1998:17-50

19. Nielsen R. Molecular signatures of natural selection. Annu Rev Genet. 2005;39:197-218

20. Van Laere AS, Nguyen M, Braunschweig M. et al. A regulatory mutation in IGF2 causes a major QTL effect on muscle growth in the pig. Nature. 2003;425(6960):832-836

21. Grobet L, Martin LJ, Poncelet D. et al. A deletion in the bovine myostatin gene causes the double-muscled phenotype in cattle. Nat Genet. 1997;17(1):71-74

22. Milan D, Jeon JT, Looft C. et al. A mutation in PRKAG3 associated with excess glycogen content in pig skeletal muscle. Science. 2000;288(5469):1248-1251

23. Galloway SM, McNatty KP, Cambridge LM. et al. Mutations in an oocyte-derived growth factor gene (BMP15) cause increased ovulation rate and infertility in a dosage-sensitive manner. Nat Genet. 2000;25(3):279-283

24. Mulsant P, Lecerf F, Fabre S. et al. Mutation in bone morphogenetic protein receptor-IB is associated with increased ovulation rate in booroola merino ewes. Proc Natl Acad Sci U S A. 2001;98(9):5104-5109

25. Pailhoux E, Vigier B, Chaffaux S. et al. A 11.7-kb deletion triggers intersexuality and polledness in goats. Nat Genet. 2001;29(4):453-458

26. Freking BA, Murphy SK, Wylie AA. et al. Identification of the single base change causing the callipyge muscle hypertrophy phenotype, the only known example of polar overdominance in mammals. Genome Res. 2002;12(10):1496-1506

27. Grisart B, Coppieters W, Farnir F. et al. Positional candidate cloning of a QTL in dairy cattle: Identification of a missense mutation in the bovine DGAT1 gene with major effect on milk yield and composition. Genome Res. 2002;12(2):222-231

28. Clop A, Marcq F, Takeda H. et al. A mutation creating a potential illegitimate microRNA target site in the myostatin gene affects muscularity in sheep. Nat Genet. 2006;38(7):813-818

29. Sabeti PC, Reich DE, Higgins JM. et al. Detecting recent positive selection in the human genome from haplotype structure. Nature. 2002;419(6909):832-837

30. Clark AG, Glanowski S, Nielsen R. et al. Inferring nonneutral evolution from human-chimp-mouse orthologous gene trios. Science. 2003;302(5652):1960-1963

31. Teshima KM, Coop G, Przeworski M. How reliable are empirical genomic scans for selective sweeps?. Genome Res. 2006;16(6):702-712

32. Schlotterer C. Hitchhiking mapping--functional genomics from the population genetics perspective. Trends Genet. 2003;19(1):32-38

33. Tajima F. The effect of change in population size on DNA polymorphism. Genetics. 1989;123(3):597-601

34. Fay JC, Wu CI. Hitchhiking under positive darwinian selection. Genetics. 2000;155(3):1405-1413

35. Akey JM, Zhang G, Zhang K, Jin L, Shriver MD. Interrogating a high-density SNP map for signatures of natural selection. Genome Res. 2002;12(12):1805-1814

36. Przeworski M. Estimating the time since the fixation of a beneficial allele. Genetics. 2003;164(4):1667-1676

37. Smith JM, Haigh J. The hitch-hiking effect of a favourable gene. Genet Res. 1974;23(1):23-35

38. Kohn MH, Pelz HJ, Wayne RK. Natural selection mapping of the warfarin-resistance gene. Proc Natl Acad Sci U S A. 2000;97(14):7911-7915

39. Wootton JC, Feng X, Ferdig MT. et al. Genetic diversity and chloroquine selective sweeps in plasmodium falciparum. Nature. 2002;418(6895):320-323

40. Andersson L, Georges M. Domestic-animal genomics: Deciphering the genetics of complex traits. Nat Rev Genet. 2004;5(3):202-212

41. O'Brien SJ. Mammalian genome mapping: Lessons and prospects. Curr Opin Genet Dev. 1991;1(1):105-111

42. Dodgson JB, Cheng HH, Okimoto R. DNA marker technology: A revolution in animal genetics. Poult Sci. 1997;76(8):1108-1114

43. Morin PA, Luikart G, Wayne RK, the SNP workshop group. SNPs in ecology, evolution and conservation. Trends Ecol Evol. 2004;19(4):208-216

44. Kashi Y, King DG. Simple sequence repeats as advantageous mutators in evolution. Trends Genet. 2006;22(5):253-259

45. Paszek AA, Flickinger GH, Fontanesi L. et al. Evaluating evolutionary divergence with microsatellites. J Mol Evol. 1998;46(1):121-126

46. Laval G, Iannuccelli N, Legault C. et al. Genetic diversity of eleven european pig breeds. Genet Sel Evol. 2000;32(2):187-203

47. Fan B, Wang ZG, Li YJ. et al. Genetic variation analysis within and among chinese indigenous swine populations using microsatellite markers. Anim Genet. 2002;33(6):422-427

48. Fang M, Hu X, Jiang T. et al. The phylogeny of chinese indigenous pig breeds inferred from microsatellite markers. Anim Genet. 2005;36(1):7-13

49. SanCristobal M, Chevalet C, Haley CS. et al. Genetic diversity within and between european pig breeds using microsatellite markers. Anim Genet. 2006;37(3):189-198

50. Foulley JL, van Schriek MG, Alderson L. et al. Genetic diversity analysis using lowly polymorphic dominant markers: The example of AFLP in pigs. J Hered. 2006;97(3):244-252

51. SanCristobal M, Chevalet C, Peleman J. et al. Genetic diversity in european pigs utilizing amplified fragment length polymorphism markers. Anim Genet. 2006;37(3):232-238

52. Ciobanu DC, Day AE, Nagy A, Wales R, Rothschild MF, Plastow GS. Genetic variation in two conserved local romanian pig breeds using type 1 DNA markers. Genet Sel Evol. 2001;33(4):417-432

53. Groenen MA, Megens HJ, Crooijmans R. et al. Genetic Diversity in European and Chinese Pigs using SNP Markers. Personal communication. 2007

Original post:
Genetic Resources, Genome Mapping and Evolutionary ...

June 5, 2017

Researchers at Baylor College of Medicine have played a leading role in sequencing the whole genome of the common white-tailed deer, which has recently been made public by the National Center for Biotechnology Information.

The deer genome has the potential to provide insights into bone behavior, more specifically how deer are able to regenerate and repair bone after it is lost or damaged.

"We are hoping that by understanding the deer genome in greater detail, we will be able to better consider how to approach and treat bone-related illnesses and disease, such as osteoporosis," said Dr. Brendan Lee, chair of the Department of Molecular and Human Genetics at Baylor. "For example, antler growth each season is an example of the fastest and largest regenerating organ in nature."

By allowing the deer genome to be publicly accessible to researchers around the world, the NCBI is fostering collaboration among institutions when faced with solving complex cases or unidentified genetic conditions.

"Sharing data is incredibly important in developing therapies for bone disease," added Lee, who also holds the Robert and Janice McNair Endowed Chair and Professor in Molecular and Human Genetics.

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Read this article:
Fully sequenced deer genome made publicly available - Phys.Org

Jennifer A. Doudna & Samuel H. Sternberg Houghton Mifflin: 2017. ISBN: 9780544716940

Buy this book: US UK Japan

Graeme Mitchell/Redux/Eyevine

Jennifer Doudna helped to uncover the CRISPRCas gene-editing system.

The prospect of a memoir from Jennifer Doudna, a key player in the CRISPR story, quickens the pulse. And A Crack in Creation does indeed deliver a welcome perspective on the revolutionary genome-editing technique that puts the power of evolution into human hands, with many anecdotes and details that only those close to her may have known. Yet it does not provide the probing introspection, the nuanced ethical analysis, the moral counterpoint that we CRISPR junkies crave.

After the race for discovery comes the battle for control of the discovery narrative. The stakes for the CRISPRCas system are extraordinarily high. In February, the US Patent and Trademark Office ruled against Doudna and the University of California, Berkeley. It found that a patent on the application of CRISPR to eukaryotic cells filed by Feng Zhang of the Broad Institute of MIT and Harvard in Cambridge, Massachusetts did not interfere with Berkeley's more sweeping patent on genetic engineering with CRISPR.

Although that battle is over, the war rages on. Berkeley has already appealed against the decision; meanwhile, the European Patent Office has ruled in favour of Doudna and Berkeley. Doubtless there are many more patents to milk out of this versatile system. And then there's the fistful of 66-millimetre gold medals they give out in Stockholm each year.

So far, the Broad Institute has controlled the CRISPR narrative. Rich in funds and talent, the Broad melds sleek, high-tech sexiness with a sense of East Coast, old-money privilege. Last year, institute director Eric Lander published a now-infamous piece entitled 'The heroes of CRISPR' (E.Lander Cell 164, 1828; 2016). It adopted a tone of magnanimity, crediting Lithuanian biochemist Virginijus Siksnys with observing early on that his findings pave the way for engineering of universal programmable RNA-guided DNA endonucleases, and Doudna and her CRISPR co-discoverer Emmanuelle Charpentier with noting the potential to exploit the system for RNA-programmable genome editing.

Lander's clear implication was that they were laying the groundwork; Zhang's group got CRISPR over the finish line. To many of us, such tactics made Team Broad look like the villains of CRISPR.

Doudna's book was a chance to deliver a righteous knockout blow. Instead, we get a counter-narrative just as constructed as Lander's article. It is written entirely in the first person; co-author Samuel Sternberg, a former student in the Doudna lab, barely surfaces.

In that counter-narrative, Doudna had always been interested in gene editing. Her early work was on RNA enzymes, or ribozymes. She developed an impeccable pedigree, doing her PhD with Jack Szostak at Harvard and a postdoc with Tom Cech at the University of Colorado Boulder, before joining the faculty at Yale University in New Haven, Connecticut. From the mid-1990s, she writes, she was exploring the basic molecular mechanisms that would be able to unlock the full potential of gene editing.

Her work on CRISPR dates to 2006 six years before the key papers were published and a call from Berkeley geomicrobiologist Jillian Banfield. Over coffee, Banfield described the clustered, regularly interspaced, short palindromic repeats that kept popping up in her DNA databases of bacteria and archaea. The sequences were ubiquitous among these prokaryotes, but unique to each species. This realization sent a little shiver of intrigue down my spine, Doudna writes. If CRISPR was so widespread, there was a good chance that nature was using it to do something important. By 2012, she and her co-workers had characterized the natural CRISPR system, harnessed it as a laboratory tool and developed a modified system that was programmable, cheap and easy to use.

The middle of the book reels off the obligatory breathless list of potential uses, generating everything from malaria-free mosquitoes and police dogs with muscles like Vin Diesel to the canonical cure for cancer. Thankfully, Doudna counterweights sensationalism with a sober accounting of the risks and responsibilities of applications such as altering the genomes of entire populations of organisms with 'gene drives'. In 2015, she sustained doubts about CRISPR ever being safe enough for clinical trials, but she has come to embrace editing of the human germ line inheritable DNA modification once it is proved safe.

But the discussion is ultimately unsatisfying. When it is time to grapple with tricky ethical issues, such as human experimentation, she baulks, unspooling instead a series of rhetorical questions. Rather than guiding us through the ethical thickets of precision genetic engineering, or providing a candid, warts-and-all look at one of the great scientists of our time, the book mainly polishes her 'good scientist' image and rationalizes the unfettered self-direction of human evolution, within liberal bounds of safety, efficacy and individual choice.

Rather than dispel the cartoon-character feel of this epic battle, Doudna elaborates on it. She presents us with a persona so flawless that it seems more concealing than revealing. She waves away the bloody patent fight as a disheartening twist in the story, but the entire biomedical world knows that it was much more. As I read A Crack in Creation, I was reminded of Benjamin Franklin's benevolent man, who, he wrote, should allow a few faults in himself, to keep his friends in countenance and, I would add, to give him- or herself more depth.

The narrative often substitutes melodrama for dramatic tension. A conference in Puerto Rico sees Charpentier and Doudna strolling the cobbles of Old San Juan, with Charpentier saying earnestly, I'm sure that by working together we can figure out the activity of what became the Cas enzyme. I felt a shiver of excitement as I contemplated the possibilities of this project, Doudna writes. When first wrestling with the ethical dilemmas of gene editing, she dreams of meeting Adolf Hitler, who demands to know the secrets of her technique. She wakes, of course, freshly determined to ensure that CRISPR is not put to nefarious use.

The larger purpose of A Crack in Creation, clearly, is to show that Doudna is the true hero of CRISPR. And ultimately, despite the book's flaws, I'm convinced. Nominators and the Nobel Committee will need to read this book. But CRISPR binge-watchers like me still await a truly satisfying account one that is insightful, candid and contextualized.

Read more here:
Genome editing: That's the way the CRISPR crumbles : Nature ... - Nature.com

Researchers at Baylor College of Medicine have played a leading role in sequencing the whole genome of the common white-tailed deer, which has recently been made public by the National Center for Biotechnology Information.

The deer genome has the potential to provide insights into bone behavior, more specifically how deer are able to regenerate and repair bone after it is lost or damaged.

We are hoping that by understanding the deer genome in greater detail, we will be able to better consider how to approach and treat bone-related illnesses and disease, such as osteoporosis, said Dr. Brendan Lee, chair of the Department of Molecular and Human Genetics at Baylor. For example, antler growth each season is an example of the fastest and largest regenerating organ in nature.

By allowing the deer genome to be publiclyaccessible to researchers around the world, the NCBI is fostering collaboration among institutions when faced with solving complex cases or unidentified genetic conditions.

Sharing data is incredibly important in developing therapies for bone disease, added Lee, who also holds the Robert and Janice McNair Endowed Chair and Professor in Molecular and Human Genetics.

The sequencing of the deer genome was made possible through collaboration among the Center for Skeletal Medicine and Biology at Baylor, the Human Genome Sequencing Center at Baylor, the Rolanette and Berdon Lawrence Bone Disease Program of Texas, Berdon and Rolanette Lawrence, and the Caesar Kleberg Wild Life Research Institute. Prior to the publishing by the NCBI, the data was submitted to the National Institutes of Health.

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Fully sequenced deer genome made publicly available - Baylor College of Medicine News (press release)

Researchers have finished the first full genome map of the threatened Mojave desert tortoise (Gopherus agassizii), also known as Agassizs desert tortoise.

Kenro Kusumi with Arizona State Universitys School of Life Sciences said the team hopes the data will aid conservation efforts, fill in blanks in the reptiles evolutionary history and perhaps offer clues to improving human health and longevity.

For diseases, were certainly interested in what makes them susceptible, the connection we study this in humans, too between their diet and their environment and their stresses, and their ability to fight off diseases," said Kusumi.

The research was published May 31 in PLOS ONE.

Mojave desert tortoises face threats from various quarters. Invasive grasses like red brome can stunt their early growth and may reduce their resistance to illnesses including upper respiratory tract disease (URTD), which afflicts the nose, nasal sinuses and trachea of some of the creatures. Humans threaten their survival by destroying habitat and building power lines, which provide new perches for predatory ravens.

Its a new habitat for the ravens. Its great for them, but its bad for baby tortoises, which they like to look at and then swoop down and eat, said Kusumi.

Based on comparisons with other existing reptile genomes, the study found changes in Mojave desert tortoise genes that regulate shell development, longevity and water conservation.

They also found that, among three desert tortoises (Mojave desert tortoise, Sonoran desert tortoise and Goodes Thornscrub tortoise), evolutionary forces seem to have differentiated protein sequences related to circadian rhythm the daily cycle of physiological and behavioral processes and the innate immune system.

The U.S. Fish and Wildlife Service listed the Mojave population that is located north and west of the Colorado River as threatened in 1990. Nevertheless, its numbers declined by about 50 percent from 2004 to 2013.

Understanding genetic variation and responses could help wildlife managers better grasp how disease and inbreeding affect the reptiles. Kusumi said it could also help scientist understand how the creatures adapt to their environs by isolating genes related to withstanding ultraviolet radiation and controlling urine volume.

We dont really know where the genetic treasure in the gold mine is. Where is the diversity that would allow the tortoise, as a species, to survive changes? said Kusumi.

A clearer picture of Mojave desert tortoises genetics and biodiversity could also improve management of reproduction and maintenance of habitat corridors, particularly under conditions of climate change. It would also help nail down the species geographical range, which overlaps with the Sonoran desert tortoise, aka Morafka's desert tortoise (Gopherus morafkai). The two desert tortoises sometimes mix boundaries and interbreed.

Were trying to answer, based on using the genome, where is the Mojave desert tortoise? Because we actually dont know exactly where that boundary is right now, said Kusumi.

Mojave desert tortoises live 40-50 years in the wild and more than 100 years in captivity. Dark green, with brown and yellow accents, they have rounded shells, stubby hind legs and flat front limbs built for digging. They occur in western Arizona, southern Nevada, Southern California and southwestern Utah. Kusumi said genetics could also offer clues as to how the species can live in such a diverse range of environments.

If you moved one from, say, Las Vegas to Southern California, it probably wouldnt do very well, because thats not the environment that its genome is making it suited for," he said. "So, within that species, wed love to know the genetic instructions that make a tortoise better suited for one place versus another.

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Team Maps Genome of Mojave Desert Tortoise - Arizona Public Media

Repositive, the Cambridge company credited with creating the worlds largest portal for accessing human genomic research materials, has expanded the range of data available with the launch of a specialist collection for the Personal Genome Project.

The new PGP collection was formally unveiled this week at Repositives satellite symposium Finding and Accessing Human Genomic Data at EHSG in Copenhagen.

The initiative collates all the data collected for the Personal Genome Project in one place combining data currently held in the US, UK, and Austria.

The Personal Genome Project aims to sequence and analyse the genomes and medical records of 100,000 global volunteers. It contains large amounts of genomic data including whole genome sequencing, methylation analysis and RNA-Seq.

The new PGP specialist collection adds to Repositives series of community led data sets which include Autism, Microbiome, Personal Genomes, Population and Methylation collections.

CEO Fiona Nielsen (pictured) said: The Repositive Specialist Data Collections are already proving to be of significant benefit to many researchers. By collecting hard to find data in one place, we can ensure that researchers are able to quickly and easily find the data they need.

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Repositive launches Personal Genome Project data collection - Business Weekly