Evidence map›Paper›PMID 42253485›Full record

ArticleEvolutionary applications2026

Genome-Wide Population Structure of Lake Whitefish (

Philippe Hénault, Raphaël Bouchard, David A Boguski, Brendan K Malley, Eric Normandeau, Charles Babin, Xavier Dallaire, Louis Bernatchez, Xinhua Zhu, Jean-Sébastien Moore

Abstract read
In one paragraph

Article in Evolutionary applications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Philippe HénaultInstitut de Biologie Intégrative et Des Systèmes (IBIS) Université Laval Québec Québec Canada.ORCID https://orcid.org/0009-0002-3986-2399
Raphaël BouchardInstitut de Biologie Intégrative et Des Systèmes (IBIS) Université Laval Québec Québec Canada.ORCID https://orcid.org/0000-0002-8156-0274
David A BoguskiFisheries and Oceans Canada, Arctic Fisheries and Mammal Science Division Freshwater Institute Winnipeg Manitoba Canada.
Brendan K MalleyFisheries and Oceans Canada, Arctic Fisheries and Mammal Science Division Freshwater Institute Winnipeg Manitoba Canada.
Eric NormandeauInstitut de Biologie Intégrative et Des Systèmes (IBIS) Université Laval Québec Québec Canada.
Charles BabinInstitut de Biologie Intégrative et Des Systèmes (IBIS) Université Laval Québec Québec Canada.
Xavier DallaireInstitut de Biologie Intégrative et Des Systèmes (IBIS) Université Laval Québec Québec Canada.ORCID https://orcid.org/0000-0003-2375-561X
Louis BernatchezInstitut de Biologie Intégrative et Des Systèmes (IBIS) Université Laval Québec Québec Canada.
Xinhua ZhuDépartement de Biologie Université Laval Québec Québec Canada.
Jean-Sébastien MooreInstitut de Biologie Intégrative et Des Systèmes (IBIS) Université Laval Québec Québec Canada.ORCID https://orcid.org/0000-0002-3353-3730

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Advances in genomics have facilitated the delineation of fisheries management units, which can be challenging in systems such as large lakes, in which high gene flow tends to limit genetic structure. In Great Slave Lake, Lake Whitefish populations have supported an important commercial fishery since the mid-1940s. The genetic structure of Lake Whitefish, however, has never been assessed, preventing the implementation of population-specific monitoring. Using low-coverage whole-genome resequencing of 305 samples from 10 sampling locations, we identified eight genetically differentiated populations of Lake Whitefish in Great Slave Lake and its main tributary, the Slave River. In the lake, we observed elevated levels of genetic differentiation among putative spawning locations in environmentally heterogeneous sections of the Main Basin despite small geographic distances among sites. In contrast, we observed weak genetic structure between populations in the comparatively homogeneous East Arm despite large geographic distances. Our observations suggest that mechanisms such as spawning site fidelity, adfluvial migratory behaviour, or local adaptation might shape population structure in this system. Using genome-wide scans, we found multiple genomic regions of elevated differentiation, with some displaying patterns coherent with chromosomal inversions. These results highlight the potential role of chromosomal rearrangements in maintaining local adaptation in the face of gene flow in environmentally heterogeneous lakes. Overall, our study provides novel insights into the genetic structure of fish populations in vast, recently deglaciated lakes. Furthermore, our results highlight the power of genomic data for population delineation in systems with high gene flow. Lastly, our precise assessment of genetic structure will provide a baseline for the genetic monitoring of culturally and socio-economically important Lake Whitefish commercial fisheries in this subarctic Great Lake.

Indexed as

conservation genomicsgenetic structurelow‐coverage whole‐genome resequencingnorthern Great Lakessalmonidstructural variation

Identifiers

PMID42253485
PMCPMC13240244

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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.