Related Experiment Video
Updated: Jan 23, 2026

08:18
Automated Microbial Cultivation and Adaptive Evolution using Microbial Microdroplet Culture System MMC
Published on: February 18, 2022
4.5K
Survival of the simplest in microbial evolution
Torsten Held1, Daniel Klemmer1, Michael Lässig2
1Institut für Biologische Physik, Universität zu Köln, Zülpicherstr. 77, 50937, Köln, Germany.
Nature Communications
|June 8, 2019
Summary
Clonal interference, a competition in microbial evolution, limits genetic and phenotypic complexity by affecting gene function and population dynamics. Recombination can overcome this, explaining the evolution of sex and genome complexity.
Area of Science:
- Evolutionary biology
- Systems biology
- Genetics
Background:
- Microbial and viral evolution often involves clonal interference, where competing genetic clades arise within a population.
- Clonal interference is a significant factor influencing evolutionary dynamics and the development of biological complexity.
Purpose of the Study:
- To investigate how clonal interference impacts systems biology by constraining genetic and phenotypic complexity.
- To analyze the relationship between gene function, evolutionary dynamics, and the evolution of sex.
Main Methods:
- Utilized biophysically grounded evolutionary models for molecular phenotypes, including gene fold stability and enzymatic activity.
- Analyzed the coupling between individual gene function and global population evolutionary dynamics.
Main Results:
- Identified a generic mode of phenotypic interference that links individual gene function to population-level evolutionary dynamics.
- Demonstrated that increased genome complexity incurs a cost proportional to the number of genes, leading to system degradation during adaptation.
- Showed that recombination, above a specific rate, can eliminate this cost, providing a scenario for the evolution of sex.
Conclusions:
- Phenotypic interference plays a crucial role in constraining biological complexity in evolving populations.
- The evolution of sex may be a mechanism to overcome the constraints imposed by phenotypic interference.
- Microbial systems biology is intrinsically linked to their evolutionary mechanisms.
Related Concept Videos
The Evidence for Evolution
47.7K
Genetic variations accumulating within populations over generations give rise to biological evolution. Evolutionary changes can result in the formation of novel varieties and entire new species. These changes are responsible for the diverse forms of life inhabiting the planet. The evidence for evolution suggests that all living organisms descended from common ancestors.
47.7K
Convergent Evolution
31.6K
Evolution shapes the features of organisms over time, ensuring that they are suited for the environments in which they live. Sometimes, selection pressure leads to the rise of similar but unrelated adaptations in organisms with no recent common ancestors, a process known as convergent evolution.
31.6K
Eukaryotic Evolution
40.3K
The endosymbiont theory is the most widely accepted theory of eukaryotic evolution; however, its progression is still somewhat debated. According to the nucleus-first hypothesis, the ancestral prokaryote first evolved a membrane to enclose DNA and form the nucleus. Conversely, the mitochondria-first hypothesis suggests that the nucleus was formed after endosymbiosis of mitochondria.
Contrary to the endosymbiont theory, the eukaryote-first hypothesis proposes that the simpler prokaryotic and...
Contrary to the endosymbiont theory, the eukaryote-first hypothesis proposes that the simpler prokaryotic and...
40.3K
Synteny and Evolution
3.8K
John H. Renwick first coined the term “synteny” in 1971, which refers to the genes present on the same chromosomes, even if they are not genetically linked. The species with common ancestry tend to show conserved syntenic regions. Therefore, the concept of synteny is nowadays used to describe the evolutionary relationship between species.
Around 80 million years ago, the human and mice lineages diverged from the common ancestor. During the course of evolution, the ancestral...
Around 80 million years ago, the human and mice lineages diverged from the common ancestor. During the course of evolution, the ancestral...
3.8K
Survival Tree
407
Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
Building a Survival Tree
Constructing a...
Building a Survival Tree
Constructing a...
407
Survival Curves
684
Survival curves are graphical representations that depict the survival experience of a population over time, offering an intuitive way to track the proportion of individuals who remain event-free at each time point. These curves are widely used in fields such as medicine, public health, and reliability engineering to visualize and compare survival probabilities across different groups or conditions.
The Kaplan-Meier estimator is the most common method for constructing survival curves. This...
The Kaplan-Meier estimator is the most common method for constructing survival curves. This...
684

