Evidence map›Paper›PMID 26502935›Full record

ArticleBiology direct2015

Highly divergent ancient gene families in metagenomic samples are compatible with additional divisions of life.

Philippe Lopez, Sébastien Halary, Eric Bapteste

Open access · goldAbstract read
In one paragraph

Article in Biology direct, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.4field-weighted citation impact, top 19% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 16 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Philippe LopezTeam 'Adaptation, Integration, Reticulation, Evolution' - UMR CNRS 7138 Evolution Paris Seine - Institut de Biologie Paris Seine - Université Pierre et Marie Curie, 7 quai St Bernard, 75005, Paris, France. philippe.lopez@upmc.fr.
Sébastien HalaryDépartement de Sciences Biologiques, Institut de recherche en biologie végétale, Université de Montréal, Montréal, QC, H1X 2B2, Canada. sebastien.halary@umontreal.ca.
Eric BaptesteTeam 'Adaptation, Integration, Reticulation, Evolution' - UMR CNRS 7138 Evolution Paris Seine - Institut de Biologie Paris Seine - Université Pierre et Marie Curie, 7 quai St Bernard, 75005, Paris, France. eric.bapteste@upmc.fr.
Ecologie & Evolution · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMicrobial genetic diversity is often investigated via the comparison of relatively similar 16S molecules through multiple alignments between reference sequences and novel environmental samples using phylogenetic trees, direct BLAST matches, or phylotypes counts. However, are we missing novel lineages in the microbial dark universe by relying on standard phylogenetic and BLAST methods? If so, how can we probe that universe using alternative approaches? We performed a novel type of multi-marker analysis of genetic diversity exploiting the topology of inclusive sequence similarity networks.

resultsOur protocol identified 86 ancient gene families, well distributed and rarely transferred across the 3 domains of life, and retrieved their environmental homologs among 10 million predicted ORFs from human gut samples and other metagenomic projects. Numerous highly divergent environmental homologs were observed in gut samples, although the most divergent genes were over-represented in non-gut environments. In our networks, most divergent environmental genes grouped exclusively with uncultured relatives, in maximal cliques. Sequences within these groups were under strong purifying selection and presented a range of genetic variation comparable to that of a prokaryotic domain.

conclusionsMany genes families included environmental homologs that were highly divergent from cultured homologs: in 79 gene families (including 18 ribosomal proteins), Bacteria and Archaea were less divergent than some groups of environmental sequences were to any cultured or viral homologs. Moreover, some groups of environmental homologs branched very deeply in phylogenetic trees of life, when they were not too divergent to be aligned. These results underline how limited our understanding of the most diverse elements of the microbial world remains, and encourage a deeper exploration of natural communities and their genetic resources, hinting at the possibility that still unknown yet major divisions of life have yet to be discovered.

Indexed as

Evolution, MolecularGastrointestinal MicrobiomeGenetic VariationArchaeaBacteriaGenomicsHumansPhylogeny

Identifiers

PMID26502935
PMCPMC4624368
OpenAlexW2161539710

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.