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At least 19 recordsLinked to original sources

Evaluating the impact of population bottlenecks in experimental evolution.

Experimental evolution involves severe, periodic reductions in population size when fresh media are inoculated during serial transfer. These bottlenecks affect the dynamics of evolution, reducing the probability that a beneficial mutation will reach fixation. We quantify the impact of these bottlenecks on the evolutionary dynamics, for populations that grow exponentially between transfers and for populations in which growth is curbed by a resource-limited environment. We find that in both cases, mutations that survive bottlenecks are equally likely to occur, per unit time, at all times during the growth phase. We estimate the total fraction of beneficial mutations that are lost due to bottlenecks during experimental evolution protocols and derive the "optimal" dilution ratio, the ratio that maximizes the number of surviving beneficial mutations. Although more severe dilution ratios are often used in the literature, we find that a ratio of 0.1-0.2 minimizes the chances that rare beneficial mutations are lost. Finally, we provide a number of useful approximate results and illustrate our approach with applications to experimental evolution protocols in the literature.

Biological Evolution↗

The effects of genetic drift in experimental evolution.

Experimental evolution is characterized by exponential or logistic growth and periodic population bottlenecks. The fate of a rare beneficial mutation in these systems is influenced both by the bottleneck effect and by genetic drift. This paper explores the effects of incorporating genetic drift into models of fixation probability in populations with periodic bottlenecks. To model the inherent stochasticity during the growth phase in these populations, we assume a Poisson distribution of offspring. An analytical solution is developed to calculate the fixation probability and a computer simulation is used to verify the results. We find that the fixation rate of a favourable mutant is significantly lower when genetic drift is considered; fixation probability is reduced by over 25% for realistic experimental protocols. Our method is valid for both weak and strong selection; since very large selection coefficients have been reported in the experimental literature, this is an important improvement over previous results.

Biological Evolution↗

Experimental Evolution of Poxviruses.

Experimental evolution is the process of exposing virus populations to defined selective pressures in a laboratory setting to identify adaptive changes. Coupled with deep sequencing, this experimental approach allows for nucleotide-level resolution of poxvirus adaptive strategies over time. Here, we present a general method of poxvirus experimental evolution, Illumina-based deep sequencing, and bioinformatic analyses to identify structural changes (e.g., gene duplication) as well as local adaptive changes (e.g., small indels and single nucleotide polymorphisms).

Poxviridae↗

Experimental evolution reveals contrasting adaptive landscapes in lab and field environments.

Experimental evolution is widely used to infer microbial responses to environmental change, yet most laboratory studies impose constant, well-mixed conditions that differ fundamentally from fluctuating, spatially structured field environments. We compared genomic evolution in the leaf litter-associated bacterium Curtobacterium strain MMLR14_002 under control and warming treatments in laboratory culture and in a complementary field experiment. Laboratory-derived isolates accumulated more mutations per genome and exhibited stronger locus-level parallelism, with mutations recurring in a small number of coding loci. Field-derived isolates accumulated fewer mutations per genome, and these mutations rarely occurred in the same coding loci across replicate populations. Instead, field isolates exhibited a higher proportion of intergenic mutations, with mutations recurring in the same intergenic regions across independent field deployments. When coding mutations were detected in the field, they were distributed across functionally diffuse targets and more often involved metabolic pathways than the core cellular processes repeatedly targeted during laboratory evolution. Warming itself did not consistently influence mutation accumulation or the genomic distribution of mutations; instead, laboratory and field contexts primarily shaped the accumulation, targets, and repeatability of genomic change. These results suggest that laboratory thermal evolution identifies adaptive routes favored under sustained selection but may overestimate coding-level parallelism under heterogeneous field conditions. Bridging laboratory and field evolution will likely require experimental designs that incorporate temporal variability and spatial heterogeneity characteristic of natural systems.IMPORTANCEA central goal of experimental evolution is to infer how microbes evolve in nature from laboratory studies. Here, we evaluate this assumption by comparing genomic evolution of a leaf litter-associated Curtobacterium strain in laboratory and field warming experiments to identify broad patterns rather than isolate the contribution of any single environmental factor. We find that the strong parallelism at coding loci observed under laboratory conditions is reduced in the field, while mutations recurring in the same intergenic regions across field deployments suggest that parallel evolution in nature may more often involve regulatory noncoding regions rather than coding targets. These results show that environmental context reshapes adaptive landscapes and may limit the parallelism of coding-level genomic responses inferred from homogeneous laboratory conditions.

experimental evolution↗

Experimental evolution of a pathogen confronted with innate immune memory increases variation in virulence.

Understanding the drivers and mechanisms of virulence evolution is still a major goal of evolutionary biologists and epidemiologists. Theory predicts that the way virulence evolves depends on the balance between the benefits and costs it provides to pathogen fitness. Additionally, host responses to infections, such as resistance or tolerance, play a critical role in shaping virulence evolution. But, while the evolution of pathogens has been traditionally studied under the selection pressure of host adaptive immunity, less is known about their evolution when confronted to simpler and less effective forms of immunity such as immune priming. In this study, we used a well-established insect model for immune priming - red flour beetles and their bacterial pathogen Bacillus thuringiensis tenebrionis - to test how this form of innate immune memory drives the pathogen evolution. Through controlled experimental evolution of the pathogen in primed versus non-primed hosts, we found no change in average virulence after eight selection cycles in primed host. Nonetheless, we observed a notable rise in the variability of virulence, defined as the ability to kill hosts, among independent pathogen lines that evolved in primed hosts, and the bacteria were unable to develop resistance to host priming. Whole genome sequencing revealed increased activity in the bacterial mobilome (prophages and plasmids). Expression of the Cry toxin - a well-known virulence factor - was linked to evolved differences in copy number variation of the cry-carrying plasmid, though this did not correlate directly with virulence. These findings highlight that innate immune memory can drive variability in pathogen traits, which may favor adaptation to variable environments. This underscores the need to consider pathogen evolution in response to innate immune memory when applying these mechanisms in medicine, aquaculture, pest control, and insect mass production.

Animals↗

Genetic subdivisions within Trypanosoma cruzi (Discrete Typing Units) and their relevance for molecular epidemiology and experimental evolution.

BACKGROUND: This paper summarizes the main results obtained on Trypanosoma cruzi genetic diversity and population structure since this parasite became the theme of many genetic and molecular studies in the early seventies. RESULTS: T. cruzi exibits a paradigmatic pattern of long-term, clonal evolution, which has structured its natural populations into several discrete genetic subdivisions or "Discrete Typing Units" (DTU). Rare hybridization events are nevertheless detectable in natural populations and have been recently obtained in the laboratory. CONCLUSIONS: The DTUs and natural clones of T. cruzi constitute relevant units for molecular epidemiology and experimental evolution. Experimental mating opens the way to an in-depth knowledge of this parasite's formal genetics.

Journal Article↗

Convergence to a novel environment: comparative method versus experimental evolution.

Laboratory adaptation allows researchers to contrast temporal studies of experimental evolution with comparative studies. The comparative method is here taken to mean the inference of microevolutionary processes from comparisons among contemporaneous populations of diverse origins, from one or multiple species. The data contrasted here come from Drosophila subobscura populations that were introduced to the laboratory at several different times and from two different locations. Two questions were addressed. First, can we correctly infer evolutionary dynamics from comparative data collected simultaneously from disparate populations? In most cases, we could, except for the character of starvation resistance. Second, are the evolutionary dynamics inferred from the comparative approach similar to those revealed by temporal studies of experimental evolution? For fecundity characters, they were. Overall the results show that both comparative and temporal studies are useful, though the former can be uninformative for characters with complex evolutionary trajectories.

Adaptation, Biological↗

Experimental evolution of resistance in Paramecium caudatum against the bacterial parasite Holospora undulata.

Host-parasite coevolution is often described as a process of reciprocal adaptation and counter adaptation, driven by frequency-dependent selection. This requires that different parasite genotypes perform differently on different host genotypes. Such genotype-by-genotype interactions arise if adaptation to one host (or parasite) genotype reduces performance on others. These direct costs of adaptation can maintain genetic polymorphism and generate geographic patterns of local host or parasite adaptation. Fixation of all-resistant (or all-infective) genotypes is further prevented if adaptation trades off with other host (or parasite) life-history traits. For the host, such indirect costs of resistance refer to reduced fitness of resistant genotypes in the absence of parasites. We studied (co)evolution in experimental microcosms of several clones of the freshwater protozoan Paramecium caudatum, infected with the bacterial parasite Holospora undulata. After two and a half years of culture, inoculation of evolved and naive (never exposed to the parasite) hosts with evolved and founder parasites revealed an increase in host resistance, but not in parasite infectivity. A cross-infection experiment showed significant host clone-by-parasite isolate interactions, and evolved hosts tended to be more resistant to their own (local) parasites than to parasites from other hosts. Compared to naive clones, evolved host clones had lower division rates in the absence of the parasite. Thus, our study indicates de novo evolution of host resistance, associated with both direct and indirect costs. This illustrates how interactions with parasites can lead to the genetic divergence of initially identical populations.

Animals↗

Experimental evolution of catabolic pathways of bacteria.

Experimental evolution of catabolic pathways offers considerable potential for accelerating the evolution of bacteria able to degrade toxic industrial chemicals, and this may be useful for combatting environmental pollution. The principal strategies that have been successfully followed to evolve useful catabolic routes for aromatic compounds in soil bacteria are analysed.

Bacteria↗

Models of experimental evolution: the role of genetic chance and selective necessity.

We present a theoretical framework within which to analyze the results of experimental evolution. Rapidly evolving organisms such as viruses, bacteria, and protozoa can be induced to adapt to laboratory conditions on very short human time scales. Artificial adaptive radiation is characterized by a list of common observations; we offer a framework in which many of these repeated questions and patterns can be characterized analytically. We allow for stochasticity by including rare mutations and bottleneck effects, demonstrating how these increase variability in the evolutionary trajectory. When the product Np, the population size times the per locus error rate, is small, the rate of evolution is limited by the chance occurrence of beneficial mutations; when Np is large and selective pressure is strong, the rate-limiting step is the waiting time while existing beneficial mutations sweep through the population. We derive the rate of divergence (substitution rate) and rate of fitness increase for the case when Np is large and illustrate our approach with an application to an experimental data set. A minimal assumption of independent additive fitness contributions provides a good fit to the experimental evolution of the bacteriophage phiX174.

Animals↗

Experimental evolution of phage K enhances antibacterial activity against USA300 MRSA in lung infection models.

Hypervirulent community-associated MRSA clones such as Staphylococcus aureus (S. aureus) USA300 drive rapidly progressive necrotizing pneumonia with high morbidity and limited therapeutic options. Bacteriophage K (phage K) is a well-characterized lytic phage active against S. aureus, but its efficacy is limited by restricted host range and the emergence of bacterial resistance. Here, we subjected phage K to experimental evolution on S. aureus USA300 to select an adapted variant with enhanced bactericidal properties. Wild-type phage K and the evolved derivative, designated phage KJ25, were compared using growth inhibition assays, time-kill kinetics, genomic differences and transcriptomic analyses of the bacterial response to infection. Efficacy was evaluated in an in vitro A549 lung epithelial cell infection model and ex vivo murine precision-cut lung slices (PCLS). Phage KJ25 exhibited significantly improved killing of USA300, achieving faster bacterial reduction and sustained suppression of regrowth. Genomic analysis identified a function-impairing mutation in gene gp102, encoding a predicted DNA-binding protein implicated in transcriptional regulation. RNA sequencing revealed that KJ25 infection of USA300 induced a slower and less disruptive host transcriptional takeover than wild-type phage K. Importantly, in both A549 cells and PCLS model, phage KJ25 markedly reduced bacterial burden while preserving lung tissue integrity, supporting its therapeutic potential. Collectively, these findings highlight the value of experimental evolution for tailoring therapeutic phages and support phage adaptation as a promising strategy for developing interventions against multidrug-resistant S. aureus.

Methicillin-Resistant Staphylococcus aureus↗

Experimental evolution of parasites.

Serial passage experiments are a form of experimental evolution that is frequently used in applied sciences; for example, in vaccine development. During these experiments, molecular and phenotypic evolution can be monitored in real time, providing insights into the causes and consequences of parasite evolution. Within-host competition generally drives an increase in a parasite's virulence in a new host, whereas the parasite becomes avirulent to its former host, indicating a trade-off between parasite fitnesses on different hosts. Understanding why parasite virulence seldom escalates similarly in natural populations could help us to manage virulence and deal with emerging diseases.

Adaptation, Physiological↗

Experimental evolution reveals genetic routes for adaptive loss of the antibacterial type VI secretion system.

The type VI secretion system (T6SS) is a contractile nanomachine used by Gram-negative bacteria to deliver effector proteins into target cells, contributing to both interbacterial competition and pathogenesis. Although T6SS gene clusters are present in recently isolated commensal and pathogenic Escherichia coli strains, they are absent from classical laboratory strains that have been propagated for decades in pure cultures, suggesting that T6SS can be lost in the absence of competition. Here, we combined experimental evolution with whole-genome sequencing to track the fate of the enteroaggregative Escherichia coli (EAEC) Sci1 T6SS during competition with either T6SS-susceptible or T6SS-immune bacteria. After ∼640 generations, T6SS activity was largely maintained during competition with T6SS-susceptible bacteria, whereas ∼90% of clones evolved with T6SS-immune bacteria lost or attenuated T6SS activity through diverse mutations within the sci1 promoter, essential T6SS structural genes, or the rfaH transcriptional antiterminator. We identified two RfaH-binding ops elements within the sci1 cluster, revealing antitermination as a regulatory element of EAEC T6SS transcription, which is conserved among Enterobacteriaceae. Our findings highlight how experimental evolution can reveal the selective forces shaping T6SS maintenance and identify new regulatory components controlling its activity.

Journal Article↗

Experimental evolution and the Krogh principle: generating biological novelty for functional and genetic analyses.

August Krogh counseled the careful selection of the best subject organism on which to undertake mechanistic physiological research. But what if an organism with the desired properties does not exist? It is now within our power to engineer organisms genetically to achieve novel combinations of traits. I propose that it is a logical extension of the Krogh principle that we use biological methodologies to create novel organisms ideally suited for particular physiological studies. Transgenics may first come to mind as the method for such transformations, but here I suggest that an alternative and complementary technique for generating biological novelty is experimental evolution. The latter has several advantages, including modification of multiple characters in one experiment, the production of advantageous traits, the testing of evolutionary hypotheses, and the identification of previously unsuspected factors involved in adaptation. Three experiments are reviewed, each of which examined the evolution of different physiological characters in different environments and organisms: locomotor performance in mice, desiccation tolerance in fruit flies, and high temperature adaptation in bacteria. While diverse in experimental type and subject, all resulted in the successful production of new variants with enhanced function in their new environments. Each experiment successfully tested hypotheses concerning physiological evolution, and in each case, unanticipated results emerged, which suggests previously unsuspected adaptive pathways and mechanisms. In addition, replicate populations in each experiment adjusted to their common environments by several different means, which indicates that physiological evolution may follow diverse stochastic pathways during adaptation. Experimental evolution can be a valuable method to produce and investigate new physiological variants and traits. The choice of experimental subjects, according to the Krogh principle, is no longer limited to currently existing organisms but is open to our imaginations and our ingenuity.

Adaptation, Physiological↗

Improvement of a useful enzyme (subtilisin BPN') by an experimental evolution system.

In order to improve a natural enzyme so as to fit industrial purposes, we have applied experimental evolution techniques comprised of successive in vitro random mutagenesis and efficient screening systems. Subtilisin BPN', a useful alkaline serine protease, was used as the model enzyme, and the gene was cloned to an Escherichia coli host-vector system. Primary mutants with reduced activities of below 80% of that of the wild type were first derived by hydroxylamine mutagenesis directly applied to subtilisin gene DNA, followed by screening of clear-zone non-forming transformant colonies cultured at room temperature on plates containing skim-milk. Then, secondary mutants were derived from each primary mutant by the same mutagenic procedure, but screened by detecting transformant colonies incubated at 10 degrees C with clear zones that were greater in size than that of the wild type. One such secondary mutant, 12-12, derived from a primary mutant with 80% activity, was found to gain 150% activity (kcat/Km value) of the wild-type when the mutant subtilisin gene was subcloned to a Bacillus subtilis host-vector system, expressed to form secretory mutant enzyme in the medium, and the activity measured using N-succinyl-L-Ala-L-Ala-L-Pro-L-Phe-p-nitroanilide as the substrate. When N-succinyl-L-Ala-L-Ala-L-Pro-L-Leu-p-nitroanilide was used, 180% activity was gained. Genetic analysis revealed that the primary and secondary mutations corresponded to D197N and G131D, respectively. The activity variations found in these mutant subtilisins were discussed in terms of Ca(2+)-binding ability. The thermostability was also found to be related to the activity.

Amino Acid Sequence↗

Does experimental evolution reflect patterns in natural populations? E. coli strains from long-term studies compared with wild isolates.

Our results show that experimental evolution mimics evolution in nature. In particular, only 1,000 generations of periodic recombination with immigrant genotypes is enough for linkage disequilibrium values in experimental populations to change from a maximum linkage value to a value similar to the one observed in wild strains of E. coli. Our analysis suggests an analogy between the recombination experiment and the evolutionary history of E. coli; the E. coli genome is a patchwork of genes laterally inserted in a common backbone, and the experimental E. coli chromosome is a patchwork where some sites are highly prone to recombination and others are very clonal. In addition, we propose a population model for wild E. coli where gene flow (recombination and migration) are an important source of genetic variation, and where certain hosts act as selective sieves; i.e., the host digestive system allows only certain strains to adhere and prosper as resident strains generating a particular microbiota in each host. Therefore we suggest that the strains from a wide range of wild hosts from different regions of the world may present an ecotypic structure where adaptation to the host may play an important role in the population structure.

Animals↗

Experimental evolution of learning ability in fruit flies.

The presence of genetic variation for learning ability in animals opens the way for experiments asking how and under what ecological circumstances improved learning ability should evolve. Here we report experimental evolution of learning ability in Drosophila melanogaster. We exposed experimental populations for 51 generations to conditions that we expected to favor associative learning with regard to oviposition substrate choice. Flies that learned to associate a chemical cue (quinine) with a particular substrate, and still avoided this substrate several hours after the cue had been removed, were expected to contribute more alleles to the next generation. From about generation 15 on, the experimental populations showed marked ability to avoid oviposition substrates that several hours earlier had contained the chemical cue. The improved response to conditioning was also expressed when the flies were faced with a choice of novel media. We demonstrate that these behavioral changes are caused by the evolution of both a higher learning rate and a better memory.

Animals↗

Experimental evolution of propanediol oxidoreductase in Escherichia coli. Comparative analysis of the wild-type and mutant enzymes.

A model for the study of experimental evolution is provided by the novel metabolic system responsible for the progressive utilization of L-1,2-propane-diol by mutants of Escherichia coli (strains 3 and 430). In these mutant strains, propanediol oxidoreductase, which serves as L-lactaldehyde reductase in fucose fermentation by wild-type cells, became a key enzyme for aerobic catabolism of propanediol. In the wild-type strain (strain 1), the enzyme is inducible only anaerobically; in strains 3 and 430, the enzyme is synthesized constitutively even in the presence of air. The propanediol oxidoreductase from all three strains was purified to homogeneity by the same procedure. The enzyme of strain 3 clearly differed from that of strain 1 in several respects: Km and V in both directions of the reaction, energy of activation, thermal stability, pH optimum and substrate specificity. However, no difference in any of the above characteristics was found between the enzymes of strains 3 and 430. All three enzymes presented the same electrophoretic mobility. According to immunological data, all three strains differed in their intracellular enzyme level.

Alcohol Oxidoreductases↗