Science AdvancesEvolutionary BiologyPeer-reviewed journal article
Genomic Evidence of Fisheries Induced Evolution in Eastern Baltic cod
Kwi Young HaniD, Reid S. BrennaniD, Christopher T. MonkiD, Sissel JentoftiD, Cecilia HelmersoniD, Jan DierkingiD, Karin HüssyiD, Érika Endo KokubuniD, Janina FußiD, Ben Krause‐KyoraiD, Tonny B. ThomseniD, Benjamin D. HerediaiD, Thorsten B. H. ReuschiD
Abstract
Humans have become one of the greatest evolutionary forces, and their perturbations are expected to elicit strong evolutionary responses. Accordingly, during (size) selective overharvesting of wild populations, marked phenotypic changes have been documented, while the evolutionary basis is often unresolved. Time-series collections combined with genomic tools present unique opportunities to study how evolutionary changes are manifested at the genome-wide level. Here, we take advantage of a unique temporal dataset from the overexploited Eastern Baltic cod (Gadus morhua) population that exhibited a 48% decrease in asymptotic body length over the last 25 years. A genome-wide association study revealed pronounced peaks of outliers linked to growth performance. The contributing loci showed signals of directional selection with significantly high autocovariance in the allele frequency and excessive intersections with regions of high Fst as well as genes relevant to growth and reproduction. Moreover, pattern of directional selection for ancestral haplotype of the well-known chromosomal inversions in Atlantic cod (on linkage group 12) was observed, while the double crossover ([~]1Mb) enharbouring the vitellogenin genes within this region showed signs of drift or balancing selection. Our results demonstrate evident response of the genome over a relatively short time frame and further underscore implications for fisheries management and conservation policy regarding the adaptive potential of marine populations.
- organism: multiple species
- assay: whole-genome sequencing
- research focus: chromatin & epigenetic regulation
- approach: statistical model
- Citations
- 22
- FWCI
- 9.42
- Field percentile
- top 1%
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