Genetic mutation trade-offs lead to parallel evolution – Phys.Org

May 23, 2017 by Siv Schwink A 3-D graph depicting evolutionary trajectories constrained by a phenotypic trade-off. Credit: David T. Fraebel, U. of I. Department of Physics and Center for the Physics of Living Cells.

Organisms in nature adapt and evolve in complex environments. For example, when subjected to changes in nutrients, antibiotics, and predation, microbes in the wild face the challenge of adapting multiple traits at the same time. But how does evolution unfold when, for survival, multiple traits must be improved simultaneously?

While heritable genetic mutations can alter phenotypic traits and enable populations to adapt to their environment, adaptation is frequently limited by trade-offs: a mutation advantageous to one trait might be detrimental to another.

Because of the interplay between the selection pressures present in complex environments and the trade-offs constraining phenotypes, predicting evolutionary dynamics is difficult.

Researchers at the University of Illinois at Urbana-Champaign have shown how evolutionary dynamics proceed when selection acts on two traits governed by a trade-off. The results move the life sciences a step closer to understanding the full complexity of evolution at the cellular level.

Seppe Kuehn, an assistant professor of physics and member of the Center for the Physics of Living Cells at the U. of I., led the research. The team studied populations of the bacterium Escherichia coli, which can undergo hundreds of generations in a single week, providing ample opportunity to study mutations and their impact on heritable traits.

The video will load shortly

The team selected populations of E. coli for faster migration through a porous environment. A quantitative model revealed that populations could achieve the fastest migration by improving two traits at onceswimming speed and growth rate (cell division).

Kuehn explains, "This study sheds new light on how evolution proceeds when performance depends on two traits that are restricted by a trade-off. Though a mathematical model suggests that the fastest migrating populations should be composed of cells that swim fast and reproduce quickly, what we found was that populations achieve faster migration through two divergent evolutionary paths that are mutually exclusive: in other words, these populations improved in either swimming speed or reproduction rate, but not both."

David T. Fraebel, a U. of I. graduate student in Kuehn's lab group, is lead author on the study. He comments, "Most experiments apply selection pressure to optimize a single trait, and trade-offs are observed in this context due to decay of traits that aren't being selected rather than due to compromise between multiple pressures. We selected for swimming and growth simultaneously, yet E. coli was not able to optimize both traits at once."

The selection environment created by the team determined which evolutionary trajectory the populations followed. In a nutrient-rich medium, faster swimming meant slower reproduction; in a nutrient-poor environment, however, slower swimming and faster reproduction led to the same desired outcome: faster migration through the porous environment.

By sequencing the DNA of the evolved populations, the team identified the mutations responsible for adaptation in each condition. When they genetically engineered these mutations into the founding strain, these cells demonstrated faster migration and the same phenotypic trade-off as the evolved strains.

"Our results support the idea that evolution takes the direction that's genetically easy," says Kuehn. "In a nutrient-rich environment, it's easy to find a mutation that enables the cells to swim faster. In a nutrient-poor environment, it's easy to find a mutation that makes cell division faster. In both cases, the mutations are disrupting negative regulatory genes whose function it is to reduce gene expression or protein levels."

"Other recent studies have shown that microevolution is dominated by changes in negative regulatory elements. The reason: it's statistically easy to find a mutation that breaks things versus one that builds new function or parts.

When selection acts on two traits restricted by a trade-off, the phenotype evolves in the direction of breaking negative regulatory elements, because it's an easy path statistically. It relates to the availability of useful mutations."

Kuehn summarizes the finding's value: "Improving predictive modeling of evolution will involve understanding how mutations alter the regulation of cellular processes and how these processes are related to trade-offs that constrain traits. Uncovering the general principles that define the relationship between regulation and trade-offs could enable us to predict evolutionary outcomes."

These findings are published in the online journal eLife.

Explore further: At molecular level, evolutionary change is unpredictable

More information: David T Fraebel et al. Environment determines evolutionary trajectory in a constrained phenotypic space, eLife (2017). DOI: 10.7554/eLife.24669

Biologists have been contemplating evolutionary change since Charles Darwin first explained it.

A new model exploring how evolutionary dynamics work in natural selection has found that phenotypic diversity, or an organism's observable traits, co-evolves with contingent cooperation when organisms with like traits work ...

Does evolution really trundle along like Darwin's famous Galapagos tortoise? And do the populations undergoing this evolution really grow and decline with the speed of a hare?

Higher organisms do not have a cost of complexity or slowdown in the evolution of complex traits according to a report by researchers at Yale and Washington University in Nature.

Biologists at the University of Pennsylvania studying the processes of evolution appear to have resolved a longstanding conundrum: How can organisms be robust against the effects of mutations yet simultaneously adaptable ...

For nearly 40 years, one of the cornerstones of the study of adaptation has been the examination of "whole-organism performance capacities"essentially, measures of the dynamic things animals do: how fast they can run; ...

Organisms in nature adapt and evolve in complex environments. For example, when subjected to changes in nutrients, antibiotics, and predation, microbes in the wild face the challenge of adapting multiple traits at the same ...

Biological engineers at Utah State University have successfully decoded and reprogrammed the biosynthetic machinery that produces a variety of natural compounds found in fungi.

Snakes, although as social as birds and mammals, have long been thought to be solitary hunters and eaters. A new study from the University of Tennessee, Knoxville, shows that some snakes coordinate their hunts to increase ...

The blue whale, which uses baleen to filter its prey from ocean water and can reach lengths of over 100 feet, is the largest vertebrate animal that has ever lived. On the list of the planet's most massive living creatures, ...

The spectacular variety of colours and patterns that butterflies use to ward off potential predators may result from highly localised environmental conditions known as "microhabitats", researchers have found.

Female vampire bats form strong social bonds with their mothers and daughters as they groom and share regurgitated meals of blood. They also form friendships with less closely related bats. Gerry Carter, post-doctoral fellow ...

Please sign in to add a comment. Registration is free, and takes less than a minute. Read more

Go here to read the rest:

Genetic mutation trade-offs lead to parallel evolution - Phys.Org