Conceptual Exchanges for Understanding Free-Living and Host-Associated Microbiomes

Whether a microbe is free-living or associated with a host from across the tree of life, its existence depends on a limited number of elements and electron donors and acceptors. Yet divergent approaches have been used by investigators from different fields.

A divide-and-conquer phylogenomic approach based on character supermatrices resolves early steps in the evolution of the Archaea

Background The recent rise in cultivation-independent genome sequencing has provided key material to explore uncharted branches of the Tree of Life. This has been particularly spectacular concerning the Archaea, projecting them at the center stage as prominently relevant to understand early stages in evolution and the emergence of fundamental metabolisms as well as the origin of eukaryotes. Yet, resolving deep divergences remains a challenging task due to well-known tree-reconstruction artefacts and biases in extracting robust ancient phylogenetic signal, notably when analyzing data sets including the three Domains of Life. Among the various strategies aimed at mitigating these problems, divide-and-conquer approaches remain poorly explored, and have been primarily based on reconciliation among single gene trees which however notoriously lack ancient phylogenetic signal. Results We analyzed sub-sets of full supermatrices covering the whole Tree of Life with specific taxonomic sampling to robustly resolve different parts of the archaeal phylogeny in light of their current diversity. Our results strongly support the existence and early emergence of two main clades, Cluster I and Cluster II, which we name Ouranosarchaea and Gaiarchaea, and we clarify the placement of important novel archaeal lineages within these two clades. However, the monophyly and branching of the fast evolving nanosized DPANN members remains unclear and worth of further study. Conclusions We inferred a well resolved rooted phylogeny of the Archaea that includes all recently described phyla of high taxonomic rank. This phylogeny represents a valuable reference to study the evolutionary events associated to the early steps of the diversification of the archaeal domain. Beyond the specifics of archaeal phylogeny, our results demonstrate the power of divide-and-conquer approaches to resolve deep phylogenetic relationships, which should be applied to progressively resolve the entire Tree of Life.

The electronic tree of life (eTOL): a net of long probes to characterize the human microbiome from RNA-seq data

Background Microbiome analysis generally requires PCR-based or metagenomic shotgun sequencing, sophisticated programs, and large volumes of data. Alternative approaches based on widely available RNA-seq data are constrained because of sequence similarities between the transcriptomes of microbes/viruses and those of the host, compounded by the extreme abundance of host sequences in such libraries. Current approaches are also limited to specific microbial groups. There is a need for alternative methods of microbiome analysis that encompass the entire tree of life. Results We report a method to specifically retrieve non-human sequences in human tissue RNA-seq data. For cellular microbes we used a bioinformatic 'net', based on filtered 64-mer small subunit rRNA sequences across the Tree of Life (the 'electronic tree of life', eTOL), to comprehensively (98%) entrap all non-human rRNA sequences present in the target tissue. Using brain as a model, retrieval of matching reads, re-exclusion of human-related sequences, followed by contig building and species identification, is followed by reconfirmation of the abundance and identity of the corresponding species groups. We provide methods to automate this analysis. A variant approach is necessary for viruses. Again, because of significant matches between viral and human sequences, a 'stripping' approach is essential. In addition, contamination during workup is a potential problem, and we discuss strategies to circumvent this issue. To illustrate the versatility of the method, we report the use of the eTOL methodology to unambiguously identify exogenous microbial and viral sequences in human tissue RNA-seq data across the entire tree of life including Archaea, Bacteria, Chloroplastida, basal Eukaryota, Fungi, and Holozoa/Metazoa, and discuss the technical and bioinformatic challenges involved. Conclusions This generic methodology may find wider application in microbiome analysis including diagnostics.

Enriching for orthologs increases support for Xenacoelomorpha and Ambulacraria sister relationship

Conflicting studies place a group of bilaterian invertebrates containing xenoturbellids and acoelomorphs, the Xenacoelomorpha, as either the primary emerging bilaterian phylum, or within Deuterostomia, sister to Ambulacraria. While their placement as sister to the rest of Bilateria supports relatively simple morphology in the ancestral bilaterian, their alternative placement within Deuterostomia suggests a morphologically complex ancestral Bilaterian along with extensive loss of major phenotypic traits in the Xenacoelomorpha. More recently, further studies have brought into question whether Deuterostomia should be considered monophyletic at all. Hidden paralogy presents a major challenge for reconstructing species phylogenies. Here we assess whether hidden paralogy has contributed to the conflict over the placement of Xenacoelomorpha. Our approach assesses previously published datasets, enriching for orthogroups whose gene trees support well resolved clans elsewhere in the animal tree of life. We find that the majority of constituent genes in previously published datasets violate incontestable clans, suggesting that hidden paralogy is rife at this depth. We demonstrate that enrichment for genes with orthologous signal alters the final topology that is inferred, whilst simultaneously improving fit of the model to the data. We discover increased, but ultimately not conclusive, support for the existence of Xenambulacraria in our orthology enriched set of genes. At a time when we are steadily progressing towards sequencing all of life on the planet, we argue that long-standing contentious issues in the tree of life will be resolved using smaller amounts of better quality data that can be modelled adequately.

Epilogue

Briefly drawing together the main themes of the book in a roundup of ‘lessons learned’, the epilogue sketches out a vision for new forms of group alignment that transcend the parochialism of ancient imagistic worlds and the forms of outgroup derogation and intolerance that doctrinal systems foment, replacing them with new forms of extended fusion. These are required to address all the major challenges of the Anthropocene, including the need to recognize a shared set of human obligations, alongside our much-vaunted rights. As we strive to combat racism and fuel instead the recognition that we are all members of one species, we may also seek to extend that intuition of shared biological essence to all other outgrowths on the tree of life, with which we share a common ancestry. Joining in new rituals that emphasize these sorts of shared experiences and shared bodies will be vital because, in the end, our fates are entwined and the ritual animal is, well, just another animal.