Evidence map›Paper›PMID 35960266›Full record

ArticleMolecular ecology2022

Landscape genomics of the American lobster (Homarus americanus).

Yann Dorant, Martin Laporte, Quentin Rougemont, Hugo Cayuela, Rémy Rochette, Louis Bernatchez

Abstract read
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In one paragraph

Article in Molecular ecology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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  11. Re-evaluating Coho salmon (Evolutionary applications · 2022
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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.

Yann DorantInstitut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, Québec, Québec, Canada.ORCID 0000-0002-7295-9398
Martin LaporteInstitut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, Québec, Québec, Canada.
Quentin RougemontInstitut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, Québec, Québec, Canada.ORCID 0000-0003-2987-3801
Hugo CayuelaInstitut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, Québec, Québec, Canada.ORCID 0000-0002-3529-0736
Rémy RochetteDepartment of Biology, University of New Brunswick, Saint John, New Brunswick, Canada.
Louis BernatchezInstitut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, Québec, Québec, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In marine species experiencing intense fishing pressures, knowledge of genetic structure and local adaptation represent a critical information to assist sustainable management. In this study, we performed a landscape genomics analysis in the American lobster to investigate the issues pertaining to the consequences of making use of putative adaptive loci to reliably infer population structure and thus more rigorously delineating biological management units in marine exploited species. Toward this end, we genotyped 14,893 single nucleotide polymorphism (SNPs) in 4190 lobsters sampled across 96 sampling sites distributed along 1000 km in the northwest Atlantic in both Canada and the USA. As typical for most marine species, we observed a weak, albeit highly significant genetic structure. We also found that adaptive genetic variation allows detecting fine-scale population structure not resolved by neutral genetic variation alone. Using the recent genome assembly of the American lobster, we were able to map and annotate several SNPs located in functional genes potentially implicated in adaptive processes such as thermal stress response, salinity tolerance and growth metabolism pathways. Taken together, our study indicates that weak population structure in high gene flow systems can be resolved at various spatial scales, and that putatively adaptive genetic variation can substantially enhance the delineation of biological management units of marine exploited species.

Indexed as

GenomicsNephropidaeAnimalsGene FlowGenotypePolymorphism, Single Nucleotideadaptive markersfisheriesgenetic unitsgenomicslobster

Identifiers

PMID35960266

What OpenQuestion holds

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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.