Abstract:Recent advances in genetic and genomic analysis have greatly improved our understanding of spatial population structure in marine species. However, studies addressing phylogeographic patterns at oceanic spatial scales remain rare. In Atlantic cod (Gadus morhua), existing range‐wide examinations suggest significant transatlantic divergence, although the fine‐scale contemporary distribution of populations and potential for secondary contact are largely unresolved. Here, we explore transatlantic phylogeography in… Show more
“…Nevertheless, these estimates should be interpreted cautiously given that deviation from the mutation rate that we used here may substantially alter demographic parameter estimates (although the ratio of estimated time of secondary contact over divergence time still applies). Overall, our results are consistent with an increasing recent report of secondary contact in a wide range of marine species such as the European anchovy (Le Moan et al, 2016), the Atlantic cod (Gadus morhua; Fairweather et al, 2018) and European sea bass (Dicentrarchus labrax; Tine et al, 2014).…”
Section: Physical Separation Followed By Secondary Contacts Explainsupporting
This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
“…Nevertheless, these estimates should be interpreted cautiously given that deviation from the mutation rate that we used here may substantially alter demographic parameter estimates (although the ratio of estimated time of secondary contact over divergence time still applies). Overall, our results are consistent with an increasing recent report of secondary contact in a wide range of marine species such as the European anchovy (Le Moan et al, 2016), the Atlantic cod (Gadus morhua; Fairweather et al, 2018) and European sea bass (Dicentrarchus labrax; Tine et al, 2014).…”
Section: Physical Separation Followed By Secondary Contacts Explainsupporting
This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
“…and differentiation evolved in situ [5,42,43]. A major genetic divide is between the eastern Baltic Sea population and all other populations, with a genetic shift of allele frequencies overlapping with the steepest part of the salinity gradient (Figure 2).…”
Section: The Nature Of Barrier Mechanismsmentioning
Barriers to gene flow are best studied where divergent populations are in contact, and studies of single-taxon hybrid zones have generated important knowledge about the nature of reproductive barriers.Marine environments, earlier considered to host unstructured species due to high connectivity, offer multispecies contact zones structured by simple physical gradients (e.g., salinity) ideal for comparative studies of divergence and speciation.Overlapping contact zones offer possibilities for comparison of barriers among species of various taxa, life histories, and demographic backgrounds and to test the role of species-specific traits in the formation and function of barriers.Combining genome scans and demographic modelling, barrier regions in the genome can be located and barrier origin traced. With genetic maps, inversions that affect recombination rate (and hence gene flow) can be identified.
“…In the North Sea (International Council for the Exploration of the Sea, ICES Division 4) and off the Scottish west coast (ICES 6a), studies of single nucleotide polymorphic (SNP) markers of spawning cod provide evidence of barriers to gene flow between the deeper north east North Sea region between 100 and 200 m and the shallower shelf region throughout these two stock areas, except for the Clyde Sea (Heath et al, 2014). Genetic isolation of the north east North Sea population is also evident in more recent studies (Sodeland et al, 2016;Fairweather et al, 2018). Analyses of otolith chemistry, comparing larval, juvenile, and adult parts for the same year-class in the North Sea, suggests that this reproductive isolation is maintained by a combination of hydrographical isolation of early life-stages and either fidelity or natal homing of later stages (Wright et al, 2006a(Wright et al, , 2018Svedäng et al, 2010;Neat et al, 2014).…”
Section: Introductionmentioning
confidence: 99%
“…Atlantic cod, Gadus morhua, is well-suited to studying population diversity and reproductive traits as there is already considerable information on both genetic divergence (Bradbury et al, 2013;Barth et al, 2017) and variation in maturity and fecundity (Wright and Rowe, 2019). Like most marine fish the level of genetic differentiation based on unlinked neutral SNPs appears to be very low in Atlantic cod (Bradbury et al, 2013;Berg et al, 2015) with most reported genomic divergence being related to polymorphic chromosomal rearrangements linked to adaptive loci (Bradbury et al, 2013;Berg et al, 2015;Sodeland et al, 2016;Fairweather et al, 2018). However, these genomic regions of adaptive divergence appear very relevant for advising on the appropriate scale for stock management as they appear to reflect reproductive barriers linked to local environmental adaptation and migratory phenotypes (Bradbury et al, 2013;Barth et al, 2017;Kess et al, 2019).…”
It is increasingly recognised that sustainable exploitation of marine fish requires the consideration of population diversity and associated productivity. This study used a combination of genotypic screening and phenotypic traits to define the scale of population structuring in Atlantic cod inhabiting the northern North Sea (ICES Sub-division 4a) and Scottish west coast (ICES Division 6a). The genetic analysis indicated an isolation by distance pattern with an even finer scale structuring than previously reported, that persisted over a decade and between feeding and spawning seasons. Spatial variation in phenotypic traits reflected genetic variation with cod maturing later and at a larger size near the Viking Bank in 4a. The identified population structuring provides an explanation for differences in historic changes in maturation schedules and the temperature exposure recorded in previous electronic tagging studies. The study also highlights how the mismatch between stock divisions and population units is leading to a misunderstanding about stock recovery.
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