ArticleEvolutionary applications2026
Genome-Wide Population Structure of Lake Whitefish (
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.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
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
Identifiers
What OpenQuestion holds
Registered trials
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.