Biology subjects

Fournier, G. P.

Publications and source records attributed to Fournier, G. P..

4 recordsLinked to original sources

bioRxiv2022

Chimeric Inheritance and Crown-Group Acquisitions of Carbon Fixation Genes within Chlorobiales

The geological record of microbial metabolisms and ecologies primarily consists of stable isotope fractionations and the diagenetic products of biogenic lipids. Carotenoid lipid biomarkers are particularly useful proxies for reconstructing this record, providing information on microbial phototroph primary productivity, redox couples, and oxygenation. The biomarkers okenane, chlorobactane, and isorenieratene are generally considered to be evidence of anoxygenic phototrophs, and provide a record that extends to [~]1.64 Ga. The utility of the carotenoid biomarker record may be enhanced by examining the carbon isotopic ratios in these products, which are diagnostic for specific pathways of biological carbon fixation found today within different microbial groups. However, this joint inference assumes that microbes have conserved these pathways across the duration of the preserved biomarker record. Testing this hypothesis, we performed phylogenetic analyses of the enzymes constituting the reductive tricarboxylic acid (rTCA) cycle in Chlorobiales, the group of anoxygenic phototrophic bacteria usually implicated in the deposition of chlorobactane and isorenieretane. We find phylogenetically incongruent patterns of inheritance across all enzymes, indicative of horizontal gene transfers to both stem and crown Chlorobiales from multiple potential donor lineages. This indicates that a complete rTCA cycle was independently acquired at least twice within Chlorobiales and was not present in the last common ancestor. When combined with recent molecular clock analyses, these results predict that the Mesoproterzoic lipid biomarker record diagnostic for Chlorobiales should not preserve isotopic fractionations indicative of a full rTCA cycle. Furthermore, we conclude that coupling isotopic and biomarker records is insufficient for reliably reconstructing microbial paleoecologies in the absence of a complementary and consistent phylogenomic narrative.

evolutionary biology↗

bioRxiv2020

Non-phylogenetic identification of co-evolving genes for reconstructing the archaeal Tree of Life

Assessing the phylogenetic compatibility between individual gene families is a crucial and often computationally demanding step in many phylogenomics analyses. Here we describe the Evolutionary Similarity Index (IES) to assess shared evolution between gene families using a weighted Orthogonal Distance Regression applied to sequence distances. This approach allows for straightforward pairing of paralogs between co-evolving gene families without resorting to multiple tests, or a priori assumptions of molecular interactions between protein products from assessed genes. The utilization of pairwise distance matrices, while less informative than phylogenetic trees, circumvents error-prone comparisons between trees whose topologies are inherently uncertain. Analyses of simulated gene family evolution datasets showed that IES was more accurate and less susceptible to noise than popular tree-based methods (Robinson-Foulds and geodesic distance) for assessing evolutionary signal compatibility, since it bypasses phylogenetic reconstruction and its inherent uncertainty. Applying IES to a real dataset of 1,322 genes from 42 archaeal genomes identified eight major clusters of gene families with compatible evolutionary trends. Four of these clusters included genes with a taxonomic distribution across all archaeal phyla, while other clusters included a subset of taxa that do not map to generally accepted archaeal clades, indicating possible shared horizontal transfers by clustered gene families. We identify one strongly connected set of 62 genes from the same cluster, occurring as both single-copy and multiple homologs per genome, with compatible phylogenetic reconstructions closely matching previously published species trees for Archaea. An IES implementation is available at https://github.com/lthiberiol/evolSimIndex.

evolutionary biology↗

bioRxiv2019

Fast-evolving alignment sites are highly informative for reconstructions of deep Tree of Life phylogenies

The trimming of fast-evolving sites, often known as \"slow-fast\" analysis, is broadly used in microbial phylogenetic reconstruction under assumption that fast-evolving sites do not retain accurate phylogenetic signal due to substitution saturation. Therefore, removing sites that have experienced multiple substitutions would improve the signal-to-noise ratio in phylogenetic analyses, with the remaining slower-evolving sites preserving a more reliable record of evolutionary relationships. Here we show that, contrary to this assumption, even the fastest evolving sites, present in conserved proteins often used in Tree of Life studies, contain reliable and valuable phylogenetic information, and that the trimming of such sites can negatively impact the accuracy of phylogenetic reconstruction. Simulated alignments modeled after ribosomal protein datasets used in Tree of Life studies consistently show that slow-evolving sites are less likely to recover true bipartitions than even the fastest-evolving sites. Furthermore, site specific substitution-rates are positively correlated with the frequency of accurately recovered short-branched bipartitions, as slowly evolving sites are less likely to have experienced substitutions along these intervals. Using published Tree of Life sequence alignment datasets, we additionally show that both slow-and fast-evolving sites contain similarly inconsistent phylogenetic signals, and that, for fast-evolving sites, this inconsistency can be attributed to poor alignment quality. Furthermore, trimming fast sites, slow sites, or both is shown to have substantial impact on phylogenetic reconstruction across multiple evolutionary models. This is perhaps most evident in the resulting placements of Eukarya and Asgardarchaeota groups, which are especially sensitive to the implementation of different trimming schemes.\n\nSignificance StatementIt is common practice among comprehensive microbial phylogenetic studies to trim fast-evolving sites from the source alignment in the expectation to increase the signal to noise ratio. Here we show that despite fast-evolving sites being more sensitive to parameter misspecifications than mid-rate evolving sites, such sensitivity is comparable, if not smaller, than what we observe among slow-evolving sites. Through the use of both empirical and simulated datasets we also show that, besides the lack of evidences regarding the noisy nature of fast-evolving sites, such sites are of core importance for the reliable the reconstruction of short-branched bipartitions. Such points are exemplified by the variations in the Eukarya+Archaea Tree of Life when subjective alignment trimming strategies are employed.

evolutionary biology↗

bioRxiv2017

Tunneling through time: Horizontal gene transfer constrains the timing of methanogen evolution

Microbial methanogenesis may have been a major component of Earths carbon cycle during the Archaean Eon, generating a methane greenhouse that increased global temperatures enough for a liquid hydrosphere, despite the suns lower luminosity at the time. Evaluation of potential solutions to the \"faint young sun\" hypothesis by determining the age of microbial methanogenesis was limited by ambiguous geochemical evidence, and the absence of a diagnostic fossil record. To overcome these challenges, we utilize a temporal constraint: a horizontal gene transfer (HGT) event from within archaeal methanogens to the ancestor of Cyanobacteria, one of the few microbial clades with recognized crown group fossils. Results of molecular clock analyses calibrated by this HGT-propagated constraint show methanogens diverging within Euryarchaeota no later than 3.51 Ga, with methanogenesis itself likely evolving earlier. This timing provides independent support for scenarios wherein microbial methane production was important in maintaining temperatures on the early Earth.

evolutionary biology↗