Reconstructing horizontal gene flow network to understand prokaryotic evolution

Inferring inter-phylum gene transfer events from unique genes detected in Parageobacillus thermoglucosidasius

A pan-genome includes the complete pool of genes of a species including those recently acquired. The new additions of genetic material to a genome are frequently linked to horizontal gene transfer (HGT) processes and can confer adaptive advantages improving the recipient functional response and growth. Previous studies have reported that Parageobacillus have frequent DNA exchange mainly with other members of the phylum Bacillota sharing similar environments. Nevertheless, the occurrence of transfer events between phylogenetically distant microorganisms is scarcely known. In this work, based on the pan-genome of Parageobacillus thermoglucosidasius, we detected a number of unique genes within the species which were used to carry out BLAST searches to find out similar genes in distant bacteria taxa. We aimed to infer potential inter-phylum HGT events. Results suggested genetic exchanges among different phyla. Among them Actinomycetota, Pseudomonadota and the Bacteroidota/Chlorobiota group were the dominant observed phyla. Those HGT events frequently involved ATP binding cassette transporters, enzymes of the C metabolism and transcriptional regulators. Based on the frequency of these genes within specific phyla, directional HGT events could be proposed. A dominant origin of the suggested HGT events could be within the Bacillota. This exploratory analysis indicates that Bacillota are frequent exporters of DNA both within the phylum and to phylogenetically distant groups. Long-distance HGT can assist to better understand microbial evolution, the relevance of HGT processes within the prokaryotes and the genomic plasticity of microorganisms.

Microbial divergence and evolution. The case of anammox bacteria

Species differentiation and the appearance of novel diversity on Earth is a major issue to understand the past and future of microbial evolution. Herein, we propose the analysis of a singular evolutive example, the case of microorganisms carrying out the process of anammox (anaerobic ammonium oxidation). Anammox represents a singular physiology active on Earth from ancient times and, at present, this group is still represented by a relatively limited number of species carrying out a specific metabolism within the Phylum Planctomycetota. The key enzyme on the anammox pathway is hydrazine dehydrogenase (HDH) which has been used as a model in this study. HDH and rRNA (16S subunit) phylogenies are in agreement suggesting a monophyletic origin. The diversity of this singular phylogenetic group is represented by a few enriched bacterial consortia awaiting to be cultured as monospecific taxa. The apparent evolution of the HDH genes in these anammox bacteria is highly related to the diversification of the anammox clades and their genomes as pointed by phylogenomics, their GC content and codon usage profile. This study represents a clear case where bacterial evolution presents a paralleled genome, gene and species diversification through time from a common ancestor; a scenario that most times is masked by a web-like phylogeny and the huge complexity within the prokaryotes. Besides, this contribution suggests that microbial evolution of the anammox bacteria has followed an ordered, vertical diversification through Earth history and will present a potentially similar speciation fate in the future.

Reconstructing horizontal gene flow network to understand prokaryotic evolution

Horizontal gene transfer (HGT) is a major source of phenotypic innovation and a mechanism of niche adaptation in prokaryotes. Quantification of HGT is critical to decipher its myriad roles in microbial evolution and adaptation. Advances in genome sequencing and bioinformatics have augmented our ability to understand the microbial world, particularly the direct or indirect influence of HGT on diverse life forms. Methods for detecting HGT can be classified into phylogenetic-based and parametric or composition-based approaches. Here, we exploited the complementary strengths of both the approaches to construct a high confidence horizontal gene flow network. Our network is unique in its ability to detect the transfer of native genes of a genome to genomes from other taxa, thus establishing donor and recipient organisms (taxa), rather than through a post hoc analysis as is the practice with several other approaches. The scale-free horizontal gene flow network presented here provides new insights into modes of transfer for the exchange of genetic information and also illuminates differential gene flow across phyla.