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A multilocus timescale for oomycete evolution estimated under three distinct molecular clock models.

ABSTRACT: BACKGROUND:Molecular clock methodologies allow for the estimation of divergence times across a variety of organisms; this can be particularly useful for groups lacking robust fossil histories, such as microbial eukaryotes with few distinguishing morphological traits. Here we have used a Bayesian molecular clock method under three distinct clock models to estimate divergence times within oomycetes, a group of fungal-like eukaryotes that are ubiquitous in the environment and include a number of devastating pathogenic species. The earliest fossil evidence for oomycetes comes from the Lower Devonian (~400 Ma), however the taxonomic affinities of these fossils are unclear. RESULTS:Complete genome sequences were used to identify orthologous proteins among oomycetes, diatoms, and a brown alga, with a focus on conserved regulators of gene expression such as DNA and histone modifiers and transcription factors. Our molecular clock estimates place the origin of oomycetes by at least the mid-Paleozoic (~430-400 Ma), with the divergence between two major lineages, the peronosporaleans and saprolegnialeans, in the early Mesozoic (~225-190 Ma). Divergence times estimated under the three clock models were similar, although only the strict and random local clock models produced reliable estimates for most parameters. CONCLUSIONS:Our molecular timescale suggests that modern pathogenic oomycetes diverged well after the origin of their respective hosts, indicating that environmental conditions or perhaps horizontal gene transfer events, rather than host availability, may have driven lineage diversification. Our findings also suggest that the last common ancestor of oomycetes possessed a full complement of eukaryotic regulatory proteins, including those involved in histone modification, RNA interference, and tRNA and rRNA methylation; interestingly no match to canonical DNA methyltransferases could be identified in the oomycete genomes studied here.

SUBMITTER: Matari NH

PROVIDER: S-EPMC4030286 | biostudies-literature | 2014 May

REPOSITORIES: biostudies-literature

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A multilocus timescale for oomycete evolution estimated under three distinct molecular clock models.

Matari Nahill H NH Blair Jaime E JE

BMC evolutionary biology 20140512

<h4>Background</h4>Molecular clock methodologies allow for the estimation of divergence times across a variety of organisms; this can be particularly useful for groups lacking robust fossil histories, such as microbial eukaryotes with few distinguishing morphological traits. Here we have used a Bayesian molecular clock method under three distinct clock models to estimate divergence times within oomycetes, a group of fungal-like eukaryotes that are ubiquitous in the environment and include a numb ...[more]

PMID: 24884411

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Project description:The use of multiple pesticides or drugs can lead to a simultaneous selection pressure for resistance alleles at different loci. Models of resistance evolution focus on how this can delay the spread of resistance through a population, but often neglect how this can also reduce the probability that a resistance allele spreads. This neglected factor has been studied in a parallel literature as selective interference. Models of interference use alternative constructions of fitness, where selection coefficients from different loci either add or multiply. Although these are equivalent under weak selection, the two constructions make alternative predictions under the strong selection that characterizes resistance evolution. Here, simulations are used to examine the effects of interference on the probability of fixation and time to fixation of a new and strongly beneficial mutation in the presence of another strongly beneficial allele with variable starting frequency. The results from simulations show a complicated pattern of effects. The key result is that, under multiplicativity, the presence of the strongly beneficial allele leads to a small reduction in the probability of fixation for the new beneficial mutation up to ~10%, and a negligible increase in the average time to fixation up to ~2%, whereas under additivity, the effect is more substantial at up to ~50% for the probability of fixation and ~100% for the average time to fixation. Consequently, the effect of interference is only an important feature of resistance evolution under additivity. Current evidence from studies of experimental evolution provides widespread support for the basic features of additivity, which suggests that interference may afford resistance a different pattern of evolution than other adaptations: rather than the gradual and simultaneous selection of many alleles with small effects, the rapid evolution of resistance may involve the sequential selection of alleles with large effects.

Project description:BACKGROUND:Aeromonas spp. are versatile bacteria that exhibit a wide variety of lifestyles. In an attempt to improve the understanding of human aeromonosis, we investigated whether clinical isolates displayed specific characteristics in terms of genetic diversity, population structure and mode of evolution among Aeromonas spp. A collection of 195 Aeromonas isolates from human, animal and environmental sources was therefore genotyped using multilocus sequence analysis (MLSA) based on the dnaK, gltA, gyrB, radA, rpoB, tsf and zipA genes. RESULTS:The MLSA showed a high level of genetic diversity among the population, and multilocus-based phylogenetic analysis (MLPA) revealed 3 major clades: the A. veronii, A. hydrophila and A. caviae clades, among the eleven clades detected. Lower genetic diversity was observed within the A. caviae clade as well as among clinical isolates compared to environmental isolates. Clonal complexes, each of which included a limited number of strains, mainly corresponded to host-associated subsclusters of strains, i.e., a fish-associated subset within A. salmonicida and 11 human-associated subsets, 9 of which included only disease-associated strains. The population structure was shown to be clonal, with modes of evolution that involved mutations in general and recombination events locally. Recombination was detected in 5 genes in the MLSA scheme and concerned approximately 50% of the STs. Therefore, these recombination events could explain the observed phylogenetic incongruities and low robustness. However, the MLPA globally confirmed the current systematics of the genus Aeromonas. CONCLUSIONS:Evolution in the genus Aeromonas has resulted in exceptionally high genetic diversity. Emerging from this diversity, subsets of strains appeared to be host adapted and/or "disease specialized" while the A. caviae clade displayed an atypical tempo of evolution among aeromonads. Considering that A. salmonicida has been described as a genetically uniform pathogen that has adapted to fish through evolution from a variable ancestral population, we hypothesize that the population structure of aeromonads described herein suggested an ongoing process of adaptation to specialized niches associated with different degrees of advancement according to clades and clusters.

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A multilocus timescale for oomycete evolution estimated under three distinct molecular clock models.

Publications

A multilocus timescale for oomycete evolution estimated under three distinct molecular clock models.

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