Evidence map›Paper›PMID 31504500›Full record

ArticleGenome biology and evolution2019

Introducing Trait Networks to Elucidate the Fluidity of Organismal Evolution Using Palaeontological Data.

Etienne Lord, Jananan S Pathmanathan, Eduardo Corel, Vladimir Makarenkov, Philippe Lopez, Frédéric Bouchard, Debashish Bhattacharya, Pierre-Olivier Antoine, Hervé Le Guyader, François-Joseph Lapointe and 1 more

Abstract read
In one paragraph

Article in Genome biology and evolution, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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

11 authors.

Etienne LordDépartement d'informatique, Université du Québec à Montréal, Montréal, Québec, Canada.
Jananan S PathmanathanInstitut de Systématique, Evolution, Biodiversité (ISYEB), Sorbonne Université, CNRS, Museum National d'Histoire Naturelle, EPHE, Université des Antilles, Paris, France.
Eduardo CorelInstitut de Systématique, Evolution, Biodiversité (ISYEB), Sorbonne Université, CNRS, Museum National d'Histoire Naturelle, EPHE, Université des Antilles, Paris, France.
Vladimir MakarenkovDépartement d'informatique, Université du Québec à Montréal, Montréal, Québec, Canada.
Philippe LopezInstitut de Systématique, Evolution, Biodiversité (ISYEB), Sorbonne Université, CNRS, Museum National d'Histoire Naturelle, EPHE, Université des Antilles, Paris, France.
Frédéric BouchardDépartement de Philosophie, Université de Montreal, Montréal, Quebec, Canada.
Debashish BhattacharyaDepartment of Biochemistry and Microbiology, Rutgers University, New Brunswick.
Pierre-Olivier AntoineInstitut des Sciences de l'Evolution, cc64, Université de Montpellier, CNRS, Université des Antilles, IRD, EPHE, Montpellier, France.
Hervé Le GuyaderInstitut de Systématique, Evolution, Biodiversité (ISYEB), Sorbonne Université, CNRS, Museum National d'Histoire Naturelle, EPHE, Université des Antilles, Paris, France.
François-Joseph LapointeDépartement de sciences biologiques, Université de Montréal, Montréal, Québec, Canada.
Eric BaptesteInstitut de Systématique, Evolution, Biodiversité (ISYEB), Sorbonne Université, CNRS, Museum National d'Histoire Naturelle, EPHE, Université des Antilles, Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Explaining the evolution of animals requires ecological, developmental, paleontological, and phylogenetic considerations because organismal traits are affected by complex evolutionary processes. Modeling a plurality of processes, operating at distinct time-scales on potentially interdependent traits, can benefit from approaches that are complementary treatments to phylogenetics. Here, we developed an inclusive network approach, implemented in the command line software ComponentGrapher, and analyzed trait co-occurrence of rhinocerotoid mammals. We identified stable, unstable, and pivotal traits, as well as traits contributing to complexes, that may follow to a common developmental regulation, that point to an early implementation of the postcranial Bauplan among rhinocerotoids. Strikingly, most identified traits are highly dissociable, used repeatedly in distinct combinations and in different taxa, which usually do not form clades. Therefore, the genes encoding these traits are likely recruited into novel gene regulation networks during the course of evolution. Our evo-systemic framework, generalizable to other evolved organizations, supports a pluralistic modeling of organismal evolution, including trees and networks.

Indexed as

Biological EvolutionAnimalsBone and BonesMammalsPhylogenySoftwareToothanimal evolutioncomplexesnetworkpalaeontologyrhinocerotoidstinkering

Identifiers

PMID31504500
PMCPMC6761957

What OpenQuestion holds

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LicenceCC BY
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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.