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Bertels, F.

Publications and source records attributed to Bertels, F..

17 recordsLinked to original sources

Compensatory evolution facilitates loss of prfB autoregulation in Pseudomonas fluorescens SBW25

Understanding why some traits are maintained whereas others are repeatedly lost is a central question in evolutionary biology. Here, we address this problem through an analysis of the evolutionary dynamics of autoregulation of the prfB gene, which encodes peptide-chain release factor 2 (RF2), a key factor in bacterial translation termination. RF2 recognizes UGA and UAA stop codons and catalyzes the release of the completed polypeptide. In many species, prfB contains an internal UGA stop codon, triggering premature translation termination by RF2 itself. Complete RF2 translation depends on a +1 programmed ribosomal frameshifting (PRF) event on the internal stop codon, which occurs more frequently when RF2 levels are low, resulting in autoregulation of prfB expression. While widespread, this autoregulatory mechanism has been lost in multiple bacterial lineages. We combined phylogenetics, experimental evolution and molecular genetics to investigate the evolutionary forces behind this loss. We found no significant correlation between PRF loss and stop codon usage using phylogenetically informed analyses, and PRF disruption in Pseudomonas fluorescens SBW25 had no detectable fitness effect. However, engineered mutations that reduced frameshifting caused fitness defects, which were compensated by two classes of mutation: (i) mutations that impair specific ribosomal proteins, and (ii) single-nucleotide deletions in prfB that adjust the reading frame and bypass the internal stop codon. These results suggest that compensatory mutations facilitate the loss of prfB autoregulation under RF2-limiting conditions. We discuss three potential scenarios that could account for this process.

evolutionary biology↗

Single capsid mutations modulating phage adsorption, persistence, and plaque morphology shape evolutionary trajectories in {Phi}X174

The evolutionary success of lytic bacteriophages depends on key life-history traits, including adsorption, lysis time, burst size, and persistence in the environment. However, how these traits evolve to allow adaptation to different environments remains poorly understood. Here, we explored this question in {Phi}X174, combining experimental evolution and mathematical modelling. By investigating how serial transfer conditions shape evolutionary outcomes in liquid culture, we found that the time between transfers imposes divergent selection on adsorption and context-dependent directional selection on persistence. Longer transfer intervals, which allow multiple infection cycles until host depletion, favoured fast-adsorbing, highly persistent mutants that could rapidly initiate infections and remained viable in the absence of the host. In contrast, shorter transfer intervals selected for slower adsorption without substantially altering persistence. Mathematical modelling of phage population dynamics predicted that adsorption evolution during short transfers reflects a trade-off between two opposing selective forces within each transfer: an early phase in which susceptible hosts are abundant and adsorption is productive, favouring fast adsorption, and a later phase in which most hosts are already infected and adsorption primarily removes phage particles via attachment to already infected cells, favouring slower adsorption. A single-point mutation in the major capsid protein was sufficient to drive these changes in adsorption. In the case of fast-adsorbing mutants, this mutation was positively pleiotropic and also enhanced environmental persistence. Our findings show how simple changes in propagation conditions can steer phage phenotypes, providing insights relevant to evolutionary biology and phage therapy.

evolutionary biology↗

REPORTH: Determining orthologous locations of repetitive sequences between genomes

Repetitive sequences are a common feature of bacterial genomes. Some repetitive sequences such as REPINs are mobile within the genome but inherited only vertically from mother to daughter across bacterial genomes. Selfish elements in contrast are mobile within the genome but also travel horizontally from genome to genome. Yet, no matter the nature of the association between the repetitive elements and the host, it is difficult to study the evolutionary dynamics of repetitive sequences across genomes. If it is unclear whether two sequences in two different genomes are in orthologous positions, it is difficult to infer parameters like the replication rate, horizontal transfer rate and rate of loss. Here we present a tool to facilitate these analyses called REPORTH. REPORTH determines whether repetitive sequences in different but closely related bacterial genomes occur in orthologous genomic positions. Whether a position is orthologous or not depends on the orthology of flanking sequences. Flanking sequences are deemed orthologous if they are bidirectional best hits. All repetitive sequences that are found in orthologous positions across different genomes are grouped together. Analyses of these groups can be used to study the evolutionary dynamics of selfish repetitive elements such as insertion sequences, but also for mutualistic repetitive elements such as REPINs.

bioinformatics↗

Empirical evidence of a role for insertion sequences in the repair of DNA breaks in bacterial genomes

Insertion Sequences (ISs) are mobile pieces of DNA that are widespread in bacterial genomes. IS movements typically involve (i) excision of the IS element, (ii) cutting of the target site DNA, and (iii) IS element insertion. This process generates a new copy of the IS element, as well as a short duplication at the target site. It has been noted that, when observing extant IS element copies in a genome, occasionally no Target Site Duplication (TSD) is readily identifiable. This has been attributed to degeneration of the TSD at some point after the insertion event. Here, we provide evidence that some IS movement events - namely, those that occur in association with large-scale genome rearrangements - occur without generating TSDs. In support of this hypothesis, we provide two direct, empirical observations of such IS transposition events: an IS481 movement occurring with a large duplication in Pseudomonas fluorescens SBW25, and an IS5/IS1182 movement plus a large deletion in Escherichia coli C. Additionally, we use sequencing data from the Lenski long-term evolution experiment to provide a further 14 examples of IS150 movements in E. coli B that are associated with large deletions and do not carry TSDs. Overall, our results indicate that some IS elements can insert into, and thus repair, existing DNA breaks in bacterial genomes.

evolutionary biology↗

Chloramphenicol reduces phage resistance evolution by suppressing bacterial cell surface mutants

Bacteriophages infect Gram-negative bacteria by attaching to molecules present on the bacterial outer membrane, often lipopolysaccharides (LPS). Modification of LPS can lead to resistance to phage infection. In addition, LPS modifications can impact antibiotic susceptibility, allowing for phage-antibiotic synergism. The evolutionary mechanism(s) behind such synergistic interactions remain largely unclear. Here, we show that the presence of antibiotics can affect the evolution of resistance to phage infection, using phage {Phi}X174 and Escherichia coli C. We use a collection of 34 E. coli C LPS strains, each of which is resistant to {Phi}X174, and has either a "rough" or "deep rough" LPS phenotype. Growth of the bacterial strains with the deep rough phenotype is inhibited at low concentrations of chloramphenicol (and, to a much lesser degree, gentamicin). Treating E. coli C wildtype with {Phi}X174 and chloramphenicol eliminates the emergence of mutants with the deep rough phenotype, and thereby slows the evolution of resistance to phage infection. At slightly lower chloramphenicol concentrations, phage resistance rates are similar to those observed at high concentrations; yet, we show that the diversity of possible mutants is much larger than at higher chloramphenicol concentrations. These data suggest that specific antibiotic concentrations can lead to synergistic phage-antibiotic interactions that disappear at higher antibiotic concentrations. Overall, we show that the change in survival of various {Phi}X174-resistant E. coli C mutants in the presence of antibiotics can explain the observed phage-antibiotic synergism. Classification: Biological Sciences, Evolution

evolutionary biology↗

Rapid dissemination of host-metabolism-manipulating transposon-like entities via integrative and conjugative elements

Integrative and conjugative elements (ICEs) are self-transmissible mobile elements that transfer functional genetic units across broad phylogenetic distances. Accessory genes shuttled by ICEs can make significant contributions to bacterial fitness, yet ICEs that carry accessory genes encoding functions other than antimicrobial resistance remain poorly characterized. Recent observation of the rapid acquisition of ICEs in a pandemic lineage of Pseudomonas syringae pv. actinidae led to investigation of the structural and functional diversity of these elements among a diverse array of P. syringae. Fifty-three unique ICE types were identified across multiple phylogroups. These ICEs display distinct evolutionary histories compared to their bacterial hosts, are highly recombinogenic, exhibit a conserved structure and are punctuated by hotspots of accessory gene integration. Many carry a 16 kb transposon-like entity (Tn6212) that shows little polymorphism indicating recent dissemination. Deletion of Tn6212 did not alter pathogen growth in planta, but mutants displayed significant fitness defects when grown on TCA cycle intermediates. These were largely attributable to a single LysR regulator. RNA-seq analysis of a set of nested Tn6212 deletions confirmed a central role of LysR in enhanced expression of more than 300 genes and down-regulation of genes controlling expression of energetically demanding loci. Together the transcriptional data indicate a major role for Tn6212 in manipulation of bacterial metabolism with primary effects on RNA degradation, protein synthesis and potential diversion of ATP to growth.

microbiology↗

E. coli-{varphi}X174 genotype to phenotype map reveals flexibility and diversity in LPS structures

Phage therapy is a promising method for the treatment of multi-drug-resistant bacterial infections. However, its long-term efficacy depends on understanding the evolutionary effects of the treatment. Current knowledge of such evolutionary effects is lacking, even in well-studied systems. We used the bacterium Escherichia coli C and its bacteriophage {Phi}X174, which infects cells using host lipopolysaccharide (LPS) molecules. We first generated 31 bacterial mutants resistant to {Phi}X174 infection. Based on the genes disrupted by these mutations, we predicted that these E. coli C mutants collectively produce eight unique LPS structures. We then developed a series of evolution experiments to select for {Phi}X174 mutants capable of infecting the resistant strains. During phage adaptation, we distinguished two types of phage resistance: one that was easily overcome by {Phi}X174 with few mutational steps ("easy" resistance), and one that was more difficult to overcome ("hard" resistance). We found that increasing the diversity of the host and phage populations could accelerate the adaptation of phage {Phi}X174 to overcome the hard resistance phenotype. From these experiments, we isolated 16 {Phi}X174 mutants that, together, can infect all 31 initially resistant E. coli C mutants. Upon determining the infectivity profiles of these 16 evolved phages, we uncovered 14 distinct profiles. Given that only eight profiles are anticipated if the LPS predictions are correct, our findings highlight that the current understanding of LPS biology is insufficient to accurately forecast the evolutionary outcomes of bacterial populations infected by phage.

evolutionary biology↗

RAREFAN: a webservice to identify REPINs and RAYTs in bacterial genomes

Compared to eukaryotes, repetitive sequences are rare in bacterial genomes and usually do not persist for long. Yet, there is at least one class of persistent prokaryotic mobile genetic elements: REPINs. REPINs are non-autonomous transposable elements replicated by single-copy transposases called RAYTs. REPIN-RAYT systems are mostly vertically inherited and have persisted in individual bacterial lineages for millions of years. Discovering and analyzing REPIN populations and their corresponding RAYT transposases in bacterial species can be rather laborious, hampering progress in understanding REPIN-RAYT biology and evolution. Here we present RAREFAN, a webservice that identifies REPIN populations and their corresponding RAYT transposase in a given set of bacterial genomes. We demonstrate RAREFANs capabilities by analyzing a set of 49 Stenotrophomonas maltophilia genomes, containing nine different REPIN-RAYT systems. We guide the reader through the process of identifying and analyzing REPIN-RAYT systems across S. maltophilia, highlighting erroneous associations between REPIN and RAYTs, and providing solutions on how to find correct associations. RAREFAN enables rapid, large-scale detection of REPINs and RAYTs, and provides insight into the fascinating world of intragenomic sequence populations in bacterial genomes. RAREFAN is available at http://rarefan.evolbio.mpg.de.

bioinformatics↗

REPINs are facultative genomic symbionts of bacterial genomes

Integrative mobile genetic elements (MGEs), such as transposons and insertion sequences, propagate within bacterial genomes, but persistence times in individual lineages are short. For long-term survival, MGEs must continuously invade new hosts by horizontal transfer. Theoretically, MGEs that persist for millions of years in single lineages, and are thus subject to vertical inheritance, should not exist. Here we draw attention to an exception -- a class of MGE termed REPIN. REPINs are non-autonomous MGEs whose duplication depends on non-jumping RAYT transposases. Comparisons of REPINs and typical MGEs show that replication rates of REPINs are orders of magnitude lower, REPIN population size fluctuations correlate with changes in available genome space, REPIN conservation depends on RAYT function, and REPIN diversity accumulates within host lineages. These data lead to the hypothesis that REPINs form enduring, beneficial associations with eubacterial chromosomes. Given replicative nesting, our hypothesis predicts conflicts arising from the diverging effects of selection acting simultaneously on REPINs and host genomes. Evidence in support comes from patterns of REPIN abundance and diversity in two distantly related bacterial species. Together this bolsters the conclusion that REPINs are the genetic counterpart of mutualistic endosymbiotic bacteria.

evolutionary biology↗

Transposable elements drive the evolution of genome streamlining

Eukaryotes and prokaryotes have distinct genome architectures, with marked differences in genome size, the ratio of coding/non-coding DNA, and the abundance of transposable elements (TEs). As TEs replicate independently of their hosts, the proliferation of TEs is thought to have driven genome expansion in eukaryotes. However, prokaryotes also have TEs in intergenic spaces, so why do prokaryotes have small, streamlined genomes? Using an in silico model describing the genomes of single-celled asexual organisms that co-evolve with TEs, we show that TEs acquired from the environment by horizontal gene transfer can drive the evolution of genome streamlining. The process depends on local interactions and is underpinned by rock-paper-scissor dynamics in which populations of cells with streamlined genomes beat TEs, which beat non-streamlined genomes, in continuous and repeating cycles. Streamlining is maladaptive to individual cells, but delivers lineage-level benefits. Streamlining does not evolve in sexually reproducing populations because recombination partially frees TEs from the deleterious effects they cause.

evolutionary biology↗

How sequence populations persist inside a genome

Compared to their eukaryotic counterparts, bacterial genomes are small and contain extremely tightly packed genes. Therefore, discovering a large number of short repetitive sequences in the genomes of Pseudomonads and Enterobacteria is unexpected. These sequences can independently replicate in the host genome and form populations that persist for millions of years. Here we model the interactions of intragenomic sequence populations with the bacterial host. In a simple model, sequence populations either expand until they drive the host to extinction or the sequence population gets purged from the genome. Including horizontal gene transfer does not change the qualitative outcome of the model and leads to the extinction of the sequence population. However, a sequence population can be stably maintained, if each sequence provides a benefit that decreases with increasing sequence population size. But concurrently, the replication of the sequence population needs to be costly to the host. Surprisingly, in regimes where horizontal gene transfer plays a role, the benefit conferred by the sequence population does not have to exceed the damage it causes. Together, our analyses provide a plausible scenario for the persistence of sequence populations in bacterial genomes. More importantly, we hypothesize a limited biologically relevant parameter range, which can be tested in future experiments.

evolutionary biology↗

Repeated phenotypic evolution by different genetic routes: the evolution of colony switching in Pseudomonas fluorescens SBW25

Repeated evolution of functionally similar phenotypes is observed throughout the tree of life. The extent to which the underlying genetics are conserved remains an area of considerable interest. Previously, we reported the evolution of colony switching in two independent lineages of Pseudomonas fluorescens SBW25 (Beaumont et al., 2009). The phenotypic and genotypic bases of colony switching in the first lineage (Line 1) have been described elsewhere (Beaumont et al., 2009; Gallie et al., 2015). Here, we deconstruct the evolution of colony switching in the second lineage (Line 6). We show that, as for Line 1, Line 6 colony switching results from an increase in the expression of a colanic acid-like polymer (CAP). At the genetic level, nine mutations occur in Line 6. Only one of these - a non-synonymous point mutation in the housekeeping sigma factor rpoD - is required for colony switching. In contrast, the genetic basis of colony switching in Line 1 is a mutation in the metabolic gene carB (Beaumont et al., 2009). A molecular model has recently been proposed whereby the carB mutation increases capsulation by redressing the intracellular balance of positive (ribosomes) and negative (RsmAE/CsrA) regulators of a positive feedback loop in capsule expression (Remigi et al., 2018). We show that Line 6 colony switching is consistent with this model; the rpoD mutation generates an increase in ribosome expression, and ultimately an increase in CAP expression.

evolutionary biology↗

Estimating the Mutational Fitness Effects Distribution during early HIV infection

The evolution of HIV during acute infection is often considered a neutral process. Recent analysis of sequencing data from this stage of infection, however, showed high levels of shared mutations between independent viral populations. This suggests that selection might play a role in the early stages of HIV infection. We adapted an existing model for random evolution during acute HIV-infection to include selection. Simulations of this model were used to fit a global mutational fitness effects distribution (MFED) to sequencing data of the env gene of individuals with acute HIV infection. Measures of sharing between viral populations were used as summary statistics to compare the data to the simulations. We confirm that evolution during acute infection is significantly different from neutral. The distribution of mutational fitness effects is best fit by distribution with a low, but significant fraction of beneficial mutations and a high fraction of deleterious mutations. While most mutations are neutral or deleterious in this model, about 5% of mutations is beneficial. These beneficial mutations will, on average, result in a small but significant increase in fitness. When assuming no epistasis, this indicates that at the moment of transmission HIV is near, but not on the fitness peak for early infection.

evolutionary biology↗

Convergent evolution as an indicator for selection during acute HIV-1 infection

Convergent evolution describes the process of different populations acquiring similar phenotypes or genotypes. Complex organisms with large genomes only rarely and only under very strong selection converge to the same genotype. In contrast, independent virus populations with very small genomes often acquire identical mutations. Here we test the hypothesis of whether convergence in early HIV-1 infection is common enough to serve as an indicator for selection. To this end, we measure the number of convergent mutations in a well-studied dataset of full-length HIV-1 env genes sampled from HIV-1 infected individuals during early infection. We compare this data to a neutral model and find an excess of convergent mutations. Convergent mutations are not evenly distributed across the env gene, but more likely to occur in gp41, which suggests that convergent mutations provide a selective advantage and hence are positively selected. In contrast, mutations that are only found in an HIV-1 population of a single individual are significantly affected by purifying selection. Our analysis suggests that comparisons between convergent and private mutations with neutral models allow us to identify positive and negative selection in small viral genomes. Our results also show that selection significantly shapes HIV-1 populations even before the onset of the adaptive immune system.

evolutionary biology↗

Dissecting HIV Virulence: Heritability Of Setpoint Viral Load, CD4+ T Cell Decline And Per-Parasite Pathogenicity

Pathogen strains may differ in virulence because they attain different loads in their hosts, or because they induce different disease-causing mechanisms independent of their load. In evolutionary ecology, the latter is referred to as \"per-parasite pathogenicity\". Using viral load and CD4+ T cell measures from 2014 HIV-1 subtype B infected individuals enrolled in the Swiss HIV Cohort Study, we investigated if virulence -- measured as the rate of decline of CD4+ T cells -- and per-parasite pathogenicity are heritable from donor to recipient. We estimated heritability by donor-recipient regressions applied to 196 previously identified transmission pairs, and by phylogenetic mixed models applied to a phylogenetic tree inferred from HIV pol sequences. Regressing the CD4+ T cell declines and per-parasite pathogenicities of the transmission pairs did not yield heritability estimates significantly different from zero. With the phylogenetic mixed model, however, our best estimate for the heritability of the CD4+ T cell decline is 17% (5%-30%), and that of the per-parasite pathogenicity is 17% (4%-29%). Further, we confirm that the set-point viral load is heritable, and estimate a heritability of 29% (12%-46%). Interestingly, the pattern of evolution of all these traits differs significantly from neutrality, and is most consistent with stabilizing selection for the set-point viral load, and with directional selection for the CD4+ T cell decline and the per-parasite pathogenicity. Our analysis shows that the viral genetype affects virulence mainly by modulating the per-parasite pathogenicity, while the indirect effect via the set-point viral load is minor.

evolutionary biology↗

Identification And Characterization Of Domesticated Bacterial Transposases

Selfish genetic elements (SGEs), such as insertion sequences (ISs) and transposons are found in most genomes. Transposons are usually identifiable by their high copy number within genomes. In contrast REP associated tyrosine transposases (RAYTs), a recently described class of bacterial transposase, are typically present at just one copy per genome. This suggests that RAYTs no longer copy themselves and thus they no longer function as a typical transposase. Motivated by this possibility we interrogated thousands of fully sequenced bacterial genomes in order to determine patterns of RAYT diversity, their distribution across chromosomes and accessory elements, and rate of duplication. RAYTs encompass exceptional diversity and are divisible into at least five distinct groups. They possess features more similar to housekeeping genes than insertion sequences, are predominantly vertically transmitted and have persisted through evolutionary time to the point where they are now found in 24% of all species for which at least one fully sequenced genome is available. Overall, the genomic distribution of RAYTs suggests that they have been co-opted by host genomes to perform a function that benefits the host cell.

evolutionary biology↗

Discovering Complete Quasispecies In Bacterial Genomes

Mobile genetic elements can be found in almost all genomes. Possibly the most common non-autonomous mobile genetic elements in bacteria are REPINs that can occur hundreds of times within a genome. The sum of all REPINs within a genome are an evolving populations because they replicate and mutate. We know the exact composition of this population and the sequence of each member of a REPIN population, in contrast to most other biological populations. Here, we model the evolution of REPINs as quasispecies. We fit our quasispecies model to ten different REPIN populations from ten different bacterial strains and estimate duplication rates. We find that our estimated duplication rates range from about 5 x 10-9 to 37 x 10-9 duplications per generation per genome. The small range and the low level of the REPIN duplication rates suggest a universal trade-off between the survival of the REPIN population and the reduction of the mutational load for the host genome. The REPIN populations we investigated also possess features typical of other natural populations. One population shows hallmarks of a population that is going extinct, another population seems to be growing in size and we also see an example of competition between two REPIN populations.

evolutionary biology↗