Horizontal acquisition of divergent chromosomal DNA in bacteria: effects of mutator phenotypes

Specialization Restricts the Evolutionary Paths Available to Yeast Sugar Transporters

Functional innovation at the protein level is a key source of evolutionary novelties. The constraints on functional innovations are likely to be highly specific in different proteins, which are shaped by their unique histories and the extent of global epistasis that arises from their structures and biochemistries. These contextual nuances in the sequence-function relationship have implications both for a basic understanding of the evolutionary process and for engineering proteins with desirable properties. Here, we have investigated the molecular basis of novel function in a model member of an ancient, conserved, and biotechnologically relevant protein family. These Major Facilitator Superfamily sugar porters are a functionally diverse group of proteins that are thought to be highly plastic and evolvable. By dissecting a recent evolutionary innovation in an α-glucoside transporter from the yeast Saccharomyces eubayanus, we show that the ability to transport a novel substrate requires high-order interactions between many protein regions and numerous specific residues proximal to the transport channel. To reconcile the functional diversity of this family with the constrained evolution of this model protein, we generated new, state-of-the-art genome annotations for 332 Saccharomycotina yeast species spanning ∼400 My of evolution. By integrating phylogenetic and phenotypic analyses across these species, we show that the model yeast α-glucoside transporters likely evolved from a multifunctional ancestor and became subfunctionalized. The accumulation of additive and epistatic substitutions likely entrenched this subfunction, which made the simultaneous acquisition of multiple interacting substitutions the only reasonably accessible path to novelty.

Cell-Free DNA: An Underestimated Source of Antibiotic Resistance Gene Dissemination at the Interface Between Human Activities and Downstream Environments in the Context of Wastewater Reuse

The dissemination of antimicrobial resistance (AMR) is one of the biggest challenges faced by mankind in the public health domains. It is currently favored by a lack of confinement between waste disposal and food production in the environmental compartment. To date, much effort has been devoted into the elucidation and control of cell-associated propagation of AMR. However, substantial knowledge gaps remain on the contribution of cell-free DNA to promote horizontal transfers of resistance genes in wastewater and downstream environments. Cell free DNA, which covers free extracellular DNA (exDNA) as well as DNA encapsulated in vesicles or bacteriophages, can persist after disinfection and promote gene transfer in the absence of physical and temporal contact between a donor and recipient bacteria. The increasing water scarcity associated to climatic change requires developing innovative wastewater reuse practices and, concomitantly, a robust evaluation of AMR occurrence by implementing treatment technologies able to exert a stringent control on AMR propagation in downstream environments exposed to treated or non-treated wastewater. This necessarily implies understanding the fate of ARGs on various forms of cell-free DNA, especially during treatment processes that are permissive to their formation. We propose that comprehensive approaches, investigating both the occurrence of ARGs and their compartmentalization in different forms of cellular or cell-free associated DNA should be established for each treatment technology. This should then allow selecting and tuning technologies for their capacity to limit the propagation of ARGs in any of their forms.

Baker's Yeast Clinical Isolates Provide a Model for How Pathogenic Yeasts Adapt to Stress

Global outbreaks of drug-resistant fungi such as Candida auris are thought to be due at least in part to excessive use of antifungal drugs. Baker's yeast Saccharomyces cerevisiae has gained importance as an emerging opportunistic fungal pathogen that can cause infections in immunocompromised patients. Analyses of over 1000 S. cerevisiae isolates are providing rich resources to better understand how fungi can grow in human environments. A large percentage of clinical S. cerevisiae isolates are heterozygous across many nucleotide sites, and a significant proportion are of mixed ancestry and/or are aneuploid or polyploid. Such features potentially facilitate adaptation to new environments. These observations provide strong impetus for expanding genomic and molecular studies on clinical and wild isolates to understand the prevalence of genetic diversity and instability-generating mechanisms, and how they are selected for and maintained. Such work can also lead to the identification of new targets for antifungal drugs.

Subtelomeres are fast-evolving regions of the Streptomyces linear chromosome

Streptomyces possess a large linear chromosome (6-12 Mb) consisting of a conserved central region flanked by variable arms covering several megabases. In order to study the evolution of the chromosome across evolutionary times, a representative panel of Streptomyces strains and species (125) whose chromosomes are completely sequenced and assembled was selected. The pan-genome of the genus was modelled and shown to be open with a core-genome reaching 1018 genes. The evolution of Streptomyces chromosome was analysed by carrying out pairwise comparisons, and by monitoring indexes measuring the conservation of genes (presence/absence) and their synteny along the chromosome. Using the phylogenetic depth offered by the chosen panel, it was possible to infer that within the central region of the chromosome, the core-genes form a highly conserved organization, which can reveal the existence of an ancestral chromosomal skeleton. Conversely, the chromosomal arms, enriched in variable genes evolved faster than the central region under the combined effect of rearrangements and addition of new information from horizontal gene transfer. The genes hosted in these regions may be localized there because of the adaptive advantage that their rapid evolution may confer. We speculate that (i) within a bacterial population, the variability of these genes may contribute to the establishment of social characters by the production of 'public goods' (ii) at the evolutionary scale, this variability contributes to the diversification of the genetic pool of the bacteria.

Incompatibilities in Mismatch Repair Genes MLH1-PMS1 Contribute to a Wide Range of Mutation Rates in Human Isolates of Baker's Yeast

Laboratory baker's yeast strains bearing an incompatible combination of MLH1 and PMS1 mismatch repair alleles are mutators that can adapt more rapidly to stress, but do so at the cost of long-term fitness. We identified 18 baker's yeast isolates from 1011 surveyed that contain the incompatible MLH1-PMS1 genotype in a heterozygous state. Surprisingly, the incompatible combination from two human clinical heterozygous diploid isolates, YJS5845 and YJS5885, contain the exact MLH1 (S288c-derived) and PMS1 (SK1-derived) open reading frames originally shown to confer incompatibility. While these isolates were nonmutators, their meiotic spore clone progeny displayed mutation rates in a DNA slippage assay that varied over a 340-fold range. This range was 30-fold higher than observed between compatible and incompatible combinations of laboratory strains. Genotyping analysis indicated that MLH1-PMS1 incompatibility was the major driver of mutation rate in the isolates. The variation in the mutation rate of incompatible spore clones could be due to background suppressors and enhancers, as well as aneuploidy seen in the spore clones. Our data are consistent with the observed variance in mutation rate contributing to adaptation to stress conditions (e.g., in a human host) through the acquisition of beneficial mutations, with high mutation rates leading to long-term fitness costs that are buffered by mating or eliminated through natural selection.

Mismatch Repair Incompatibilities in Diverse Yeast Populations

An elevated mutation rate can provide cells with a source of mutations to adapt to changing environments. We identified a negative epistatic interaction involving naturally occurring variants in the MLH1 and PMS1 mismatch repair (MMR) genes of Saccharomyces cerevisiae We hypothesized that this MMR incompatibility, created through mating between divergent S. cerevisiae, yields mutator progeny that can rapidly but transiently adapt to an environmental stress. Here we analyzed the MLH1 and PMS1 genes across 1010 S. cerevisiae natural isolates spanning a wide range of ecological sources (tree exudates, Drosophila, fruits, and various fermentation and clinical isolates) and geographical sources (Europe, America, Africa, and Asia). We identified one homozygous clinical isolate and 18 heterozygous isolates containing the incompatible MMR genotype. The MLH1-PMS1 gene combination isolated from the homozygous clinical isolate conferred a mutator phenotype when expressed in the S288c laboratory background. Using a novel reporter to measure mutation rates, we showed that the overall mutation rate in the homozygous incompatible background was similar to that seen in compatible strains, indicating the presence of suppressor mutations in the clinical isolate that lowered its mutation rate. This observation and the identification of 18 heterozygous isolates, which can lead to MMR incompatible genotypes in the offspring, are consistent with an elevated mutation rate rapidly but transiently facilitating adaptation. To avoid long-term fitness costs, the incompatibility is apparently buffered by mating or by acquiring suppressors. These observations highlight effective strategies in eukaryotes to avoid long-term fitness costs associated with elevated mutation rates.

Antimicrobial Drugs in Fighting against Antimicrobial Resistance

The outbreak of antimicrobial resistance, together with the lack of newly developed antimicrobial drugs, represents an alarming signal for both human and animal healthcare worldwide. Selection of rational dosage regimens for traditional antimicrobial drugs based on pharmacokinetic/pharmacodynamic principles as well as development of novel antimicrobials targeting new bacterial targets or resistance mechanisms are key approaches in tackling AMR. In addition to the cellular level resistance (i.e., mutation and horizontal gene transfer of resistance determinants), the community level resistance (i.e., bilofilms and persisters) is also an issue causing antimicrobial therapy difficulties. Therefore, anti-resistance and antibiofilm strategies have currently become research hotspot to combat antimicrobial resistance. Although metallic nanoparticles can both kill bacteria and inhibit biofilm formation, the toxicity is still a big challenge for their clinical applications. In conclusion, rational use of the existing antimicrobials and combinational use of new strategies fighting against antimicrobial resistance are powerful warranties to preserve potent antimicrobial drugs for both humans and animals.

Prevalence of hypermutators among clinical Acinetobacter baumannii isolates

Objectives

The objectives of this study were to study the presence of mutators in a set of Acinetobacter baumannii isolates and to explore whether there is a correlation between mutation rates and antibiotic resistance.

Methods

The variation in mutation rate was evaluated for 237 clinical A. baumannii isolates by determining the frequency of their mutation to rifampicin resistance. For each isolate, the antibiotic resistance profile was determined by disc diffusion and/or Etest. Isolates were divided into susceptible, resistant and MDR groups according to their resistance to five groups of different antibiotics. A comparison between differences in mutation frequency (f) and strain-specific factors was performed.

Results

Of the 237 isolates 32%, 18% and 50% were classified as susceptible, resistant and MDR, respectively. The f of rifampicin resistance varied between 2.2 × 10⁻¹⁰ and 1.2 × 10⁻⁶. Of the strains under investigation, 16% had an ≥2.5- to 166-fold higher f. The presence of mutators (definition ≥2.5-fold increase in f compared with ATCC 19606) in the MDR group (22%) was significantly higher (P < 0.05) than that in the susceptible and resistant groups (11% and 7%, respectively). Furthermore, f was significantly higher in the MDR group compared with that in the susceptible and resistant groups.

Conclusions

The facts that 26 of 37 mutator isolates (70%) in the population were MDR and that there was a significantly higher general f in isolates exhibiting an MDR profile suggest that hypermutability can be of advantage for the organism in a selective environment with extensive exposure to antimicrobials.

A Genetic Incompatibility Accelerates Adaptation in Yeast

During mismatch repair (MMR) MSH proteins bind to mismatches that form as the result of DNA replication errors and recruit MLH factors such as Mlh1-Pms1 to initiate excision and repair steps. Previously, we identified a negative epistatic interaction involving naturally occurring polymorphisms in the MLH1 and PMS1 genes of baker’s yeast. Here we hypothesize that a mutagenic state resulting from this negative epistatic interaction increases the likelihood of obtaining beneficial mutations that can promote adaptation to stress conditions. We tested this by stressing yeast strains bearing mutagenic (incompatible) and non-mutagenic (compatible) mismatch repair genotypes. Our data show that incompatible populations adapted more rapidly and without an apparent fitness cost to high salt stress. The fitness advantage of incompatible populations was rapid but disappeared over time. The fitness gains in both compatible and incompatible strains were due primarily to mutations in PMR1 that appeared earlier in incompatible evolving populations. These data demonstrate a rapid and reversible role (by mating) for genetic incompatibilities in accelerating adaptation in eukaryotes. They also provide an approach to link experimental studies to observational population genomics.

In nature, bacterial populations with high mutation rates can adapt faster to new environments by acquiring beneficial mutations. However, such populations also accumulate harmful mutations that reduce their fitness. We show that the model eukaryote baker’s yeast can use a similar mutator strategy to adapt to new environments. The mutator state that we observed resulted from an incompatibility involving two genes, MLH1 and PMS1, that work together to remove DNA replication errors through a spellchecking mismatch repair mechanism. This incompatibility can occur through mating between baker’s yeast from different genetic backgrounds, yielding mutator offspring containing an MLH1-PMS1 combination not present in either parent. Interestingly, these offspring adapted more rapidly to stress, compared to the parental strains, and did so without an overall loss in fitness. DNA sequencing analyses of baker’s yeast strains from across the globe support the presence of incompatible hybrid yeast strains in nature. These observations provide a powerful model to understand how the segregation of defects in DNA mismatch repair can serve as an effective strategy to enable eukaryotes to adapt to changing environments.

Antibiotic discovery: combatting bacterial resistance in cells and in biofilm communities

Bacterial resistance is a rapidly escalating threat to public health as our arsenal of effective antibiotics dwindles. Therefore, there is an urgent need for new antibiotics. Drug discovery has historically focused on bacteria growing in planktonic cultures. Many antibiotics were originally developed to target individual bacterial cells, being assessed in vitro against microorganisms in a planktonic mode of life. However, towards the end of the 20th century it became clear that many bacteria live as complex communities called biofilms in their natural habitat, and this includes habitats within a human host. The biofilm mode of life provides advantages to microorganisms, such as enhanced resistance towards environmental stresses, including antibiotic challenge. The community level resistance provided by biofilms is distinct from resistance mechanisms that operate at a cellular level, and cannot be overlooked in the development of novel strategies to combat infectious diseases. The review compares mechanisms of antibiotic resistance at cellular and community levels in the light of past and present antibiotic discovery efforts. Future perspectives on novel strategies for treatment of biofilm-related infectious diseases are explored.

Detecting rare gene transfer events in bacterial populations

Horizontal gene transfer (HGT) enables bacteria to access, share, and recombine genetic variation, resulting in genetic diversity that cannot be obtained through mutational processes alone. In most cases, the observation of evolutionary successful HGT events relies on the outcome of initially rare events that lead to novel functions in the new host, and that exhibit a positive effect on host fitness. Conversely, the large majority of HGT events occurring in bacterial populations will go undetected due to lack of replication success of transformants. Moreover, other HGT events that would be highly beneficial to new hosts can fail to ensue due to lack of physical proximity to the donor organism, lack of a suitable gene transfer mechanism, genetic compatibility, and stochasticity in tempo-spatial occurrence. Experimental attempts to detect HGT events in bacterial populations have typically focused on the transformed cells or their immediate offspring. However, rare HGT events occurring in large and structured populations are unlikely to reach relative population sizes that will allow their immediate identification; the exception being the unusually strong positive selection conferred by antibiotics. Most HGT events are not expected to alter the likelihood of host survival to such an extreme extent, and will confer only minor changes in host fitness. Due to the large population sizes of bacteria and the time scales involved, the process and outcome of HGT are often not amenable to experimental investigation. Population genetic modeling of the growth dynamics of bacteria with differing HGT rates and resulting fitness changes is therefore necessary to guide sampling design and predict realistic time frames for detection of HGT, as it occurs in laboratory or natural settings. Here we review the key population genetic parameters, consider their complexity and highlight knowledge gaps for further research.

A novel computational method identifies intra- and inter-species recombination events in Staphylococcus aureus and Streptococcus pneumoniae

Advances in high-throughput DNA sequencing technologies have determined an explosion in the number of sequenced bacterial genomes. Comparative sequence analysis frequently reveals evidences of homologous recombination occurring with different mechanisms and rates in different species, but the large-scale use of computational methods to identify recombination events is hampered by their high computational costs. Here, we propose a new method to identify recombination events in large datasets of whole genome sequences. Using a filtering procedure of the gene conservation profiles of a test genome against a panel of strains, this algorithm identifies sets of contiguous genes acquired by homologous recombination. The locations of the recombination breakpoints are determined using a statistical test that is able to account for the differences in the natural rate of evolution between different genes. The algorithm was tested on a dataset of 75 genomes of Staphylococcus aureus and 50 genomes comprising different streptococcal species, and was able to detect intra-species recombination events in S. aureus and in Streptococcus pneumoniae. Furthermore, we found evidences of an inter-species exchange of genetic material between S. pneumoniae and Streptococcus mitis, a closely related commensal species that colonizes the same ecological niche. The method has been implemented in an R package, Reco, which is freely available from supplementary material, and provides a rapid screening tool to investigate recombination on a genome-wide scale from sequence data.

The extent to which recombination occurs in natural populations is either unknown or controversial but it is widely accepted that recombination plays a crucial role in the evolution of many bacterial species. Numerous methods have been developed for the investigation of recombination events, but most of them require expensive computations and are applicable only to a limited number of genomes or to short nucleotide sequences. Here we present a new algorithm designed to identify recombination events affecting a group of adjacent genes. The procedure is based on the comparison of gene sequences and requires as input the matrix of gene conservation of a test genome against a group of reference genomes. The method is fast, and has minimal computational requirements. Therefore, it can be applied to datasets composed of a large number of complete genomes, and can be easily adapted to analyze data directly from high-throughput sequencing projects. We applied the algorithm to a dataset of S. aureus and streptococcal genomes and we found evidence of yet undetected inter and intra-species recombination events, suggesting that the use of Reco will shed new light on the evolution of bacterial species, and provide important information to improve classification criteria of bacterial species.

Assessing the probability of detection of horizontal gene transfer events in bacterial populations

Experimental approaches to identify horizontal gene transfer (HGT) events of non-mobile DNA in bacteria have typically relied on detection of the initial transformants or their immediate offspring. However, rare HGT events occurring in large and structured populations are unlikely to be detected in a short time frame. Population genetic modeling of the growth dynamics of bacterial genotypes is therefore necessary to account for natural selection and genetic drift during the time lag and to predict realistic time frames for detection with a given sampling design. Here we draw on statistical approaches to population genetic theory to construct a cohesive probabilistic framework for investigation of HGT of exogenous DNA into bacteria. In particular, the stochastic timing of rare HGT events is accounted for. Integrating over all possible event timings, we provide an equation for the probability of detection, given that HGT actually occurred. Furthermore, we identify the key variables determining the probability of detecting HGT events in four different case scenarios that are representative of bacterial populations in various environments. Our theoretical analysis provides insight into the temporal aspects of dissemination of genetic material, such as antibiotic resistance genes or transgenes present in genetically modified organisms. Due to the long time scales involved and the exponential growth of bacteria with differing fitness, quantitative analyses incorporating bacterial generation time, and levels of selection, such as the one presented here, will be a necessary component of any future experimental design and analysis of HGT as it occurs in natural settings.

Phylogeographic reconstruction of a bacterial species with high levels of lateral gene transfer

Background

Phylogeographic reconstruction of some bacterial populations is hindered by low diversity coupled with high levels of lateral gene transfer. A comparison of recombination levels and diversity at seven housekeeping genes for eleven bacterial species, most of which are commonly cited as having high levels of lateral gene transfer shows that the relative contributions of homologous recombination versus mutation for Burkholderia pseudomallei is over two times higher than for Streptococcus pneumoniae and is thus the highest value yet reported in bacteria. Despite the potential for homologous recombination to increase diversity, B. pseudomallei exhibits a relative lack of diversity at these loci. In these situations, whole genome genotyping of orthologous shared single nucleotide polymorphism loci, discovered using next generation sequencing technologies, can provide very large data sets capable of estimating core phylogenetic relationships. We compared and searched 43 whole genome sequences of B. pseudomallei and its closest relatives for single nucleotide polymorphisms in orthologous shared regions to use in phylogenetic reconstruction.

Results

Bayesian phylogenetic analyses of >14,000 single nucleotide polymorphisms yielded completely resolved trees for these 43 strains with high levels of statistical support. These results enable a better understanding of a separate analysis of population differentiation among >1,700 B. pseudomallei isolates as defined by sequence data from seven housekeeping genes. We analyzed this larger data set for population structure and allele sharing that can be attributed to lateral gene transfer. Our results suggest that despite an almost panmictic population, we can detect two distinct populations of B. pseudomallei that conform to biogeographic patterns found in many plant and animal species. That is, separation along Wallace's Line, a biogeographic boundary between Southeast Asia and Australia.

Conclusion

We describe an Australian origin for B. pseudomallei, characterized by a single introduction event into Southeast Asia during a recent glacial period, and variable levels of lateral gene transfer within populations. These patterns provide insights into mechanisms of genetic diversification in B. pseudomallei and its closest relatives, and provide a framework for integrating the traditionally separate fields of population genetics and phylogenetics for other bacterial species with high levels of lateral gene transfer.

On the origin of prokaryotic species

The notion that all prokaryotes belong to genomically and phenomically cohesive clusters that we might legitimately call "species" is a contentious one. At issue are (1) whether such clusters actually exist; (2) what species definition might most reliably identify them, if they do; and (3) what species concept -- by which is meant a genetic and ecological theory of speciation -- might best explain species existence and rationalize a species definition, if we could agree on one. We review existing theories and some relevant data. We conclude that microbiologists now understand in some detail the various genetic, population, and ecological processes that effect the evolution of prokaryotes. There will be on occasion circumstances under which these, working together, will form groups of related organisms sufficiently like each other that we might all agree to call them "species," but there is no reason that this must always be so. Thus, there is no principled way in which questions about prokaryotic species, such as how many there are, how large their populations are, or how globally they are distributed, can be answered. These questions can, however, be reformulated so that metagenomic methods and thinking will meaningfully address the biological patterns and processes whose understanding is our ultimate target.

Sexual isolation in Acinetobacter baylyi is locus-specific and varies 10,000-fold over the genome

Naturally transformable bacteria acquire chromosomal DNA from related species at lower frequencies than from cognate DNA sources. To determine how genome location affects heterogamic transformation in bacteria, we inserted an nptI marker into random chromosome locations in 19 different strains of the Acinetobacter genus (>24% divergent at the mutS/trpE loci). DNA from a total of 95 nptI-tagged isolates was used to transform the recipient Acinetobacter baylyi strain ADP1. A total of >1300 transformation assays revealed that at least one nptI-tagged isolate for each of the strains/species tested resulted in detectable integration of the nptI marker into the ADP1 genome. Transformation frequencies varied up to approximately 10,000-fold among independent nptI insertions within a strain. The location and local sequence divergence of the nptI flanking regions were determined in the transformants. Heterogamic transformation depended on RecA and was hampered by DNA mismatch repair. Our studies suggest that single-locus-based studies, and inference of transfer frequencies from general estimates of genomic sequence divergence, is insufficient to predict the recombination potential of chromosomal DNA fragments between more divergent genomes. Interspecies differences in overall gene content, and conflicts in local gene organization and synteny are likely important determinants of the genomewide variation in recombination rates between bacterial species.

Antimicrobial resistance: its emergence and transmission

New concepts have emerged in the past few years that help us to better understand the emergence and spread of antimicrobial resistance (AMR). These include, among others, the discovery of the mutator state and the concept of mutant selection window for resistances emerging primarily through mutations in existing genes. Our understanding of horizontal gene transfer has also evolved significantly in the past few years, and important new mechanisms of AMR transfer have been discovered, including, among others, integrative conjugative elements and ISCR (insertion sequences with common regions) elements. Simultaneously, large-scale studies have helped us to start comprehending the immense and yet untapped reservoir of both AMR genes and mobile genetic elements present in the environment. Finally, new PCR- and DNA sequencing-based techniques are being developed that will allow us to better understand the epidemiology of classical vectors of AMR genes, such as plasmids, and to monitor them in a more global and systematic way.

Characterisation of antimicrobial resistance-associated integrons and mismatch repair gene mutations in Salmonella serotypes

In this study, we examined the presence of integrons and Salmonella genomic island 1 (SGI1) and assessed their contribution to antimicrobial resistance as well as determining the extent of the mutator phenotype in Salmonella isolates. A total of 81 Salmonella enterica serotype Typhimurium isolates were examined for the presence of integrons and SGI1 and for hypermutators using polymerase chain reaction (PCR) and the mutator assay, respectively. An additional 336 Salmonella isolates were also used to screen for hypermutators. Fourteen S. Typhimurium isolates carried class 1 integrons, of which six were shown to possess SGI1. Five putative mutators, S. Typhimurium ST20751, S. enterica serotype Heidelberg 22396 and S. enterica serotype Enteritidis 17929, 17929N and 17929R, were identified among the 417 Salmonella isolates. Complementation analysis with the wild-type mutH, mutL, mutS and uvrD genes indicated that none of the five mutators contained defective mismatch repair (MMR) system alleles. DNA sequence analysis revealed that single point mutations resulting in aspartic acid (codon 87) substitution in the gyrA gene conferred resistance to nalidixic acid and/or other fluoroquinolone drugs (ciprofloxacin and enrofloxacin) among four isolates. Our findings indicated that integrons and SGI1 play an important role in multidrug resistance in Salmonella. The incidence of hypermutators owing to defective MMR in Salmonella appears to be rare.

Proteomics-inferred genome typing (PIGT) demonstrates inter-population recombination as a strategy for environmental adaptation

Analyses of ecological and evolutionary processes that shape microbial consortia are facilitated by comprehensive studies of ecosystems with low species richness. In the current study we evaluated the role of recombination in altering the fitness of chemoautotrophic bacteria in their natural environment. Proteomics-inferred genome typing (PIGT) was used to genotype the dominant Leptospirillum group II populations in 27 biofilms sampled from six locations in the Richmond Mine acid mine drainage system (Iron Mountain, CA) over a 4-year period. We observed six distinct genotypes that are recombinants comprised of segments from two 'parental' genotypes. Community genomic analyses revealed additional low abundance recombinant variants. The dominance of some genotypes despite a larger available genome pool, and patterns of spatiotemporal distribution within the ecosystem, indicate selection for distinct recombinants. Genes involved in motility, signal transduction and transport were over-represented in the tens to hundreds of kilobase recombinant blocks, whereas core metabolic functions were significantly under-represented. Our findings demonstrate the power of PIGT and reveal that recombination is a mechanism for fine-scale adaptation in this system.

Incompatibilities involving yeast mismatch repair genes: a role for genetic modifiers and implications for disease penetrance and variation in genomic mutation rates

Genetic background effects underlie the penetrance of most genetically determined phenotypes, including human diseases. To explore how such effects can modify a mutant phenotype in a genetically tractable system, we examined an incompatibility involving the MLH1 and PMS1 mismatch repair genes using a large population sample of geographically and ecologically diverse Saccharomyces cerevisiae strains. The mismatch repair incompatibility segregates into naturally occurring yeast strains, with no strain bearing the deleterious combination. In assays measuring the mutator phenotype conferred by different combinations of MLH1 and PMS1 from these strains, we observed a mutator phenotype only in combinations predicted to be incompatible. Surprisingly, intragenic modifiers could be mapped that specifically altered the strength of the incompatibility over a 20-fold range. Together, these observations provide a powerful model in which to understand the basis of disease penetrance and how such genetic variation, created through mating, could result in new mutations that could be the raw material of adaptive evolution in yeast populations.

For many common afflictions, it is difficult to map disease-associated loci because multiple loci are involved, with some loci playing greater roles than others. To explore how complex interactions can contribute to disease, we examined an incompatibility involving the MLH1 and PMS1 DNA mismatch repair proteins in baker's yeast. In our system, an incompatibility is defined as a defect occurring when specific combinations of MLH1 and PMS1 proteins obtained from different baker's yeast strains are tested for function. We identified amino acid differences at only one site in each protein that contributed to this incompatibility. We also showed that amino acid differences that could cause such an incompatibility are found in strains collected from across the globe. No strain contained the incompatible MLH1-PMS1 combination, indicating that it was likely to be deleterious. When such a combination was created in the laboratory, we could detect a wide range of defects that were under the control of genetic modifiers. These observations provide a powerful model in which to understand the basis of disease penetrance and how segregation of defects in mismatch repair may allow for rapid yet reversible changes in genomic mutation rates that can help yeast adapt to changing or novel environments.

Multilocus sequence typing performed on Campylobacter coli isolates from humans, broilers, pigs and cattle originating in Denmark

AIMS

To assess whether Campylobacter coli isolated from different sources in Denmark constitute separate populations.

METHODS AND RESULTS

Multilocus sequence typing (MLST) was applied to 160 C. coli isolates from animal origin, food products and human cases of gastroenteritis. The isolates were collected in Denmark over a 2-year period. In total, 84 sequence types (STs) were obtained and 57 of these STs were novel to this study. Ten per cent of the isolates possessed STs that were found in both human, poultry and pig isolates. Only 10% of the isolates from pigs shared ST with isolates from humans, and these shared STs were found in poultry isolates as well.

CONCLUSIONS

Great genetic diversity was seen within the Danish C. coli population. Furthermore, we found that the C. coli types isolated from Danish pigs constitute a small fraction of the C. coli causing human disease.

SIGNIFICANCE AND IMPACT OF THE STUDY

C. coli isolates from pigs is presumably not a significant source of human campylobacteriosis in Denmark. The Danish C. coli isolates include 68% STs novel to this study, showing a great diversity compared with studies from other countries.

Searching for species in haloarchaea

Prokaryotic (bacterial and archaeal) species definitions and the biological concepts that underpin them entail clustering (cohesion) among individuals, in terms of genome content and gene sequence similarity. Homologous recombination can maintain gene sequence similarity within, while permitting divergence between, clusters and is thus the basis for recent efforts to apply the Biological Species Concept in prokaryote systematics and ecology. In this study, we examine isolates of the haloarchaeal genus Halorubrum from two adjacent ponds of different salinities at a Spanish saltern and a natural saline lake in Algeria by using multilocus sequence analysis. We show that, although clusters can be defined by concatenation of multiple marker sequences, barriers to exchange between them are leaky. We suggest that no nonarbitrary way to circumscribe "species" is likely to emerge for this group, or by extension, to apply generally across prokaryotes. Arbitrary criteria might have limited practical use, but still must be agreed upon by the community.

Modeling suggests frequency estimates are not informative for predicting the long-term effect of horizontal gene transfer in bacteria

Horizontal gene transfer (HGT) is an important mechanism by which bacteria recombine and acquire novel genes and functions. Risk scenarios where novel plant transgenes transfer horizontally into bacteria have been addressed in numerical theoretical assessments and experimental studies. A key outcome of these studies has been that the frequencies of such inter-domain transfer are very low, if occurring at all, suggesting that such transfers would not occur at a level that is biologically significant. The relationship between transfer frequencies and the subsequent selection or genetic drift of transgene carrying bacteria often remains unresolved in these studies and assessments. Here we present a stochastic model to better understand the initial establishment and population dynamics of rare bacterial transformants carrying horizontally acquired (trans)genes. The following key parameters are considered: initial transformant numbers, strength of selection, bacterial population size and bacterial generations (time). We find that the initial number of transformants is important for the subsequent persistence of transformants only in the range of 1 to approximately 50 independent HGT events. Our simulations show that transformant populations under a wide range of HGT rates and selection coefficients undergo stochastic developments where they persist at low frequencies for up to several years (at frequencies that are below detection using available field sampling methodology), after which they eventually may go to fixation. Stochastic variability may thus play a crucial but disregarded role in the design of field monitoring strategies e.g. in biosafety assessments. We also estimate the time required for transformants to reach 0.0002% prevalence in a bacterial population, a threshold that allows experimental detection of transgene carrying bacteria through sampling of the larger bacterial populations.

Increased mutation frequencies in Escherichia coli isolates harboring extended-spectrum beta-lactamases

Hypermutable (mutation frequency [f], > or = 4 x 10(-8)) Escherichia coli strains were more frequently found (43%) in a collection of 89 extended-spectrum beta-lactamase (ESBL)-producing isolates from different patients (77 pulsed-field gel electrophoresis clones, 12 ESBL types) than in non-ESBL E. coli (26%) strains (P = 0.03). Among urinary tract isolates, the frequency of hypermutation was 40% in ESBL versus 26% in non-ESBL isolates (P = 0.03).

Adaptation and incipient sympatric speciation of Bacillus simplex under microclimatic contrast at "Evolution Canyons" I and II, Israel

The microevolutionary dynamics of prokaryotes in natural habitats, such as soil, is poorly understood in contrast to our increasing knowledge on their immense diversity. We performed microevolutionary analyses on 945 soil isolates of Bacillus simplex from "Evolution Canyons" I (Carmel, Israel) and II (Galilee, Israel). These canyons represent similar ecological replicates, separated by 40 km, with highly contrasting interslope abiotic and biotic conditions in each (within a distance of only 100-400 m). Strains representing genetic groups were identical in their 16S sequences, suggesting high genetic similarity and monophyletic origin. Parallel and nested phylogenetic structures correlated with ecological contrasts rather than geographical distance. Additionally, slope-specific populations differed substantially in their diversity. The levels of DNA repair (determined by UV sensitivity) and spontaneous mutation rate (resistance to rifampicin) relate to ecological stress and phylogeny. Altogether, the results suggest adaptive radiation at a microscale. We discuss the observed adaptive population structures in the context of incipient sympatric speciation in soil bacteria. We conclude that, despite different biology, prokaryotes, like sexually reproducing eukaryotes, may consist of true species and parallel ecological speciation in eukaryotes.

Horizontal gene transfer, genome innovation and evolution

To what extent is the tree of life the best representation of the evolutionary history of microorganisms? Recent work has shown that, among sets of prokaryotic genomes in which most homologous genes show extremely low sequence divergence, gene content can vary enormously, implying that those genes that are variably present or absent are frequently horizontally transferred. Traditionally, successful horizontal gene transfer was assumed to provide a selective advantage to either the host or the gene itself, but could horizontally transferred genes be neutral or nearly neutral? We suggest that for many prokaryotes, the boundaries between species are fuzzy, and therefore the principles of population genetics must be broadened so that they can be applied to higher taxonomic categories.

Mechanisms of, and barriers to, horizontal gene transfer between bacteria

Bacteria evolve rapidly not only by mutation and rapid multiplication, but also by transfer of DNA, which can result in strains with beneficial mutations from more than one parent. Transformation involves the release of naked DNA followed by uptake and recombination. Homologous recombination and DNA-repair processes normally limit this to DNA from similar bacteria. However, if a gene moves onto a broad-host-range plasmid it might be able to spread without the need for recombination. There are barriers to both these processes but they reduce, rather than prevent, gene acquisition.

Chips and SNPs, bugs and thugs: a molecular sleuthing perspective

Recent events both here and abroad have focused attention on the need for ensuring a safe and secure food supply. Although much has been written about the potential of particular select agents in bioterrorism, we must consider seriously the more mundane pathogens, especially those that have been implicated previously in foodborne outbreaks of human disease, as possible agents of bioterrorism. Given their evolutionary history, the enteric pathogens are more diverse than agents such as Bacillus anthracis, Francisella tularensis, or Yersinia pestis. This greater diversity, however, is a double-edged sword; although diversity affords the opportunity for unequivocal identification of an organism without the need for whole-genome sequencing, the same diversity can confound definitive forensic identification if boundaries are not well defined. Here, we discuss molecular approaches used for the identification of Salmonella enterica, Escherichia coli, and Shigella spp. and viral pathogens and discuss the utility of these approaches to the field of microbial molecular forensics.

Impact of mutS inactivation on foreign DNA acquisition by natural transformation in Pseudomonas stutzeri

In prokaryotic mismatch repair the MutS protein and its homologs recognize the mismatches. The mutS gene of naturally transformable Pseudomonas stutzeri ATCC 17587 (genomovar 2) was identified and characterized. The deduced amino acid sequence (859 amino acids; 95.6 kDa) displayed protein domains I to IV and a mismatch-binding motif similar to those in MutS of Escherichia coli. A mutS::aac mutant showed 20- to 163-fold-greater spontaneous mutability. Transformation experiments with DNA fragments of rpoB containing single nucleotide changes (providing rifampin resistance) indicated that mismatches resulting from both transitions and transversions were eliminated with about 90% efficiency in mutS+. The mutS+ gene of strain ATCC 17587 did not complement an E. coli mutant but partially complemented a P. stutzeri JM300 mutant (genomovar 4). The declining heterogamic transformation by DNA with 0.1 to 14.6% sequence divergence was partially alleviated by mutS::aac, indicating that there was a 14 to 16% contribution of mismatch repair to sexual isolation. Expression of mutS+ from a multicopy plasmid eliminated autogamic transformation and greatly decreased heterogamic transformation, suggesting that there is strong limitation of MutS in the wild type for marker rejection. Remarkably, mutS::aac altered foreign DNA acquisition by homology-facilitated illegitimate recombination (HFIR) during transformation, as follows: (i) the mean length of acquired DNA was increased in transformants having a net gain of DNA, (ii) the HFIR events became clustered (hot spots) and less dependent on microhomologies, which may have been due to topoisomerase action, and (iii) a novel type of transformants (14%) had integrated foreign DNA with no loss of resident DNA. We concluded that in P. stutzeri upregulation of MutS could enforce sexual isolation and downregulation could increase foreign DNA acquisition and that MutS affects mechanisms of HFIR.

Genes without frontiers?

For bacteria, the primary genetic barrier against the genetic exchange of DNA that is not self-transmissible is dissimilarity in the bacterial DNA sequences concerned. Genetic exchange by homologous recombination is frequent among close bacterial relatives and recent experiments have shown that it can enable the uptake of closely linked nonhomologous foreign DNA. Artificial vectors are mosaics of mobile DNA elements from free-living bacterial isolates and so bear a residual similarity to their ubiquitous natural progenitors. This homology is tightly linked to the multitude of different DNA sequences that are inserted into synthetic vectors. Can homology between vector and bacterial DNA enable the uptake of these foreign DNA inserts? In this review we investigate pUC18 as an example of an artificial vector and consider whether its homology to broad host-range antibiotic resistance transposons and plasmid origins of replication could enable the uptake of insert DNA in the light of studies of homology-facilitated foreign DNA uptake. We also discuss the disposal of recombinant DNA, its persistence in the environment and whether homologies to pUC18 may exist in naturally competent bacteria. Most DNA that is inserted into the cloning site of artificial vectors would be of little use to a bacterium, but perhaps not all.

High deleterious genomic mutation rate in stationary phase of Escherichia coli

In natural habitats, bacteria spend most of their time in some form of growth arrest. Little is known about deleterious mutations in such stages, and consequently there is limited understanding of what evolutionary events occur. In a deleterious mutation accumulation experiment in prolonged stationary phase of Escherichia coli, about 0.03 slightly deleterious mutations were observed per genome per day. This is over an order of magnitude higher than extrapolations from fast-growing cells, but in line with inferences from observations in adaptive stationary phase mutation experiments. These findings may affect understanding of bacterial evolution and the emergence of bacterial pathogenicity.

Hypermutation as a Factor Contributing to the Acquisition of Antimicrobial Resistance

Contrary to what was thought previously, bacteria seem to be, not merely spectators to their own evolution, but, through a variety of mechanisms, able to increase the rate at which mutations occur and, consequently, to increase their chances of becoming resistant to antibiotics. Laboratory studies and mathematical models suggest that, under stressful conditions, such as antibiotic challenge, selective pressure favors mutator strains of bacteria over nonmutator strains. These hypermutable strains have been found in natural bacterial populations at higher frequencies than expected. The presence of mutator strains in the clinical setting may indicate an enhanced risk of acquiring antibiotic resistance through mutational and recombinational events. In addition, some antibiotics are inducers of mechanisms that transiently increase the mutation rate, and thus probably act, not only as mere selectors of antibiotic resistant clones, but also as resistance-promoters.