Evidence map›Paper›PMID 29220487›Full record

ArticleGenome biology and evolution2017

Ancestral Genome Estimation Reveals the History of Ecological Diversification in Agrobacterium.

Florent Lassalle, Rémi Planel, Simon Penel, David Chapulliot, Valérie Barbe, Audrey Dubost, Alexandra Calteau, David Vallenet, Damien Mornico, Thomas Bigot and 5 more

Open access · goldAbstract read
In one paragraph

Article in Genome biology and evolution, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

14 citing papers in PubMed, 42 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

15 authors at 3 institutions in 1 country.

Florent LassalleEcologie Microbienne, CNRS, INRA, VetAgro Sup, UCBL, Université de Lyon, Villeurbanne, France.
Rémi PlanelBiométrie et Biologie Evolutive, CNRS, UCBL, Université de Lyon, Villeurbanne, France.
Simon PenelBiométrie et Biologie Evolutive, CNRS, UCBL, Université de Lyon, Villeurbanne, France.
David ChapulliotEcologie Microbienne, CNRS, INRA, VetAgro Sup, UCBL, Université de Lyon, Villeurbanne, France.
Valérie BarbeCommissariat à l'Energie Atomique et aux Energies Alternatives (CEA) Direction de la Recherche Fondamentale, Institut de Biologie Francois-Jacob (IBFJ), Genoscope, Evry, France.
Audrey DubostEcologie Microbienne, CNRS, INRA, VetAgro Sup, UCBL, Université de Lyon, Villeurbanne, France.
Alexandra CalteauCommissariat à l'Energie Atomique et aux Energies Alternatives (CEA) Direction de la Recherche Fondamentale, Institut de Biologie Francois-Jacob (IBFJ), Genoscope, Evry, France.
David VallenetCommissariat à l'Energie Atomique et aux Energies Alternatives (CEA) Direction de la Recherche Fondamentale, Institut de Biologie Francois-Jacob (IBFJ), Genoscope, Evry, France.
Damien MornicoCommissariat à l'Energie Atomique et aux Energies Alternatives (CEA) Direction de la Recherche Fondamentale, Institut de Biologie Francois-Jacob (IBFJ), Genoscope, Evry, France.
Thomas BigotBiométrie et Biologie Evolutive, CNRS, UCBL, Université de Lyon, Villeurbanne, France.
Laurent GuéguenBiométrie et Biologie Evolutive, CNRS, UCBL, Université de Lyon, Villeurbanne, France.
Ludovic VialEcologie Microbienne, CNRS, INRA, VetAgro Sup, UCBL, Université de Lyon, Villeurbanne, France.
Daniel MullerEcologie Microbienne, CNRS, INRA, VetAgro Sup, UCBL, Université de Lyon, Villeurbanne, France.
Vincent DaubinBiométrie et Biologie Evolutive, CNRS, UCBL, Université de Lyon, Villeurbanne, France.
Xavier NesmeEcologie Microbienne, CNRS, INRA, VetAgro Sup, UCBL, Université de Lyon, Villeurbanne, France.
Université Claude Bernard Lyon 1 · FRCentre National de la Recherche Scientifique · FRCommissariat à l'Énergie Atomique et aux Énergies Alternatives · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Horizontal gene transfer (HGT) is considered as a major source of innovation in bacteria, and as such is expected to drive adaptation to new ecological niches. However, among the many genes acquired through HGT along the diversification history of genomes, only a fraction may have actively contributed to sustained ecological adaptation. We used a phylogenetic approach accounting for the transfer of genes (or groups of genes) to estimate the history of genomes in Agrobacterium biovar 1, a diverse group of soil and plant-dwelling bacterial species. We identified clade-specific blocks of cotransferred genes encoding coherent biochemical pathways that may have contributed to the evolutionary success of key Agrobacterium clades. This pattern of gene coevolution rejects a neutral model of transfer, in which neighboring genes would be transferred independently of their function and rather suggests purifying selection on collectively coded acquired pathways. The acquisition of these synapomorphic blocks of cofunctioning genes probably drove the ecological diversification of Agrobacterium and defined features of ancestral ecological niches, which consistently hint at a strong selective role of host plant rhizospheres.

Indexed as

Biological EvolutionEcologyGenetic VariationGenome, BacterialAgrobacteriumComputational BiologyHigh-Throughput Nucleotide SequencingPhylogenySoftwareAgrobacterium tumefaciensancestral genomecotransferred genesHGTreverse ecologytree reconciliation

Identifiers

PMID29220487
PMCPMC5739047
OpenAlexW2951351626

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.