Evidence map›Paper›PMID 36195609›Full record

ArticleNature communications2022

Spatial coalescent connectivity through multi-generation dispersal modelling predicts gene flow across marine phyla.

Térence Legrand, Anne Chenuil, Enrico Ser-Giacomi, Sophie Arnaud-Haond, Nicolas Bierne, Vincent Rossi

Abstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
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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

6 authors.

Térence LegrandAix Marseille University, Universite de Toulon, CNRS, IRD, Mediterranean Institute of Oceanography (UMR 7294), Marseille, France. legrandterence@gmail.com.ORCID 0000-0002-9120-5153
Anne ChenuilIMBE, CNRS UMR 7263, Aix Marseille Université, Avignon Université, IRD 237, Station marine d'Endoume, Chemin de la Batterie des Lions, 13007, Marseille, France.ORCID 0000-0001-8141-7147
Enrico Ser-GiacomiDepartment of Earth, Atmospheric and Planetary Sciences, Massachusetts Institute of Technology, 54-1514 MIT, Cambridge, MA, USA.ORCID 0000-0002-2994-9514
Sophie Arnaud-HaondMARBEC (Marine Biodiversity, Exploitation and Conservation, UMR 9190) Univ. Montpellier, IFREMER, IRD, CNRS, Sète, France.
Nicolas BierneISEM, Univ Montpellier, CNRS, IRD, Montpellier, France.ORCID 0000-0003-1856-3197
Vincent RossiAix Marseille University, Universite de Toulon, CNRS, IRD, Mediterranean Institute of Oceanography (UMR 7294), Marseille, France. vincent.rossi@mio.osupytheas.fr.ORCID 0000-0001-7291-0415

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gene flow governs the contemporary spatial structure and dynamic of populations as well as their long-term evolution. For species that disperse using atmospheric or oceanic flows, biophysical models allow predicting the migratory component of gene flow, which facilitates the interpretation of broad-scale spatial structure inferred from observed allele frequencies among populations. However, frequent mismatches between dispersal estimates and observed genetic diversity prevent an operational synthesis for eco-evolutionary projections. Here we use an extensive compilation of 58 population genetic studies of 47 phylogenetically divergent marine sedentary species over the Mediterranean basin to assess how genetic differentiation is predicted by Isolation-By-Distance, single-generation dispersal and multi-generation dispersal models. Unlike previous approaches, the latter unveil explicit parents-to-offspring links (filial connectivity) and implicit links among siblings from a common ancestor (coalescent connectivity). We find that almost 70 % of observed variance in genetic differentiation is explained by coalescent connectivity over multiple generations, significantly outperforming other models. Our results offer great promises to untangle the eco-evolutionary forces that shape sedentary population structure and to anticipate climate-driven redistributions, altogether improving spatial conservation planning.

Indexed as

Gene FlowGenetics, PopulationGenetic VariationOceans and Seas

Identifiers

PMID36195609
PMCPMC9532449

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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.