000 03226 am a22003013u 4500
042 _adc
100 1 0 _aKongsstovu, Sunnvør í
_eauthor
_93015
700 1 0 _aMikalsen, Svein-Ole
_eauthor
_93016
700 1 0 _aHomrum, Eydna í
_eauthor
_93017
700 1 0 _aJacobsen, Jan Arge
_eauthor
_93018
700 1 0 _aAls, Thomas D.
_eauthor
_93019
700 1 0 _aGislason, Hannes
_eauthor
_93020
700 1 0 _aFlicek, Paul
_eauthor
700 1 0 _aNielsen, Einar Eg
_eauthor
_93022
700 1 0 _aDahl, Hans Atli
_eauthor
_93023
245 0 0 _aAtlantic herring (Clupea harengus) population structure in the Northeast Atlantic Ocean
260 _c2022-05.
500 _a/pmc/articles/PMC7614180/
500 _a/pubmed/36798657
520 _aThe Atlantic herring Clupea harengus L has a vast geographical distribution and a complex population structure with a few very large migratory units and many small local populations. Each population has its own spawning ground and/or time, thereby maintaining their genetic integrity. Several herring populations migrate between common feeding grounds and over-wintering areas resulting in frequent mixing of populations. Thus, many herring fisheries are based on mixed populations of different demographic status. In order to avoid over-exploitation of weak populations and to conserve biodiversity, understanding the population structure and population mixing is important for maintaining biologically sustainable herring fisheries. The aim of this study was to investigate the genetic population structure of herring in the Faroese and surrounding waters, and to develop genetic markers for distinguishing between four herring management units (often called stocks), namely the Norwegian spring-spawning herring (NSSH), Icelandic summer-spawning herring (ISSH), North Sea autumn-spawning herring (NSAH), and Faroese autumn-spawning herring (FASH). Herring from the four stocks were sequenced at low coverage, and single nucleotide polymorphisms (SNPs) were called and used for population structure analysis and individual assignment. An ancestry-informative SNP panel with 118 SNPs was developed and tested on 240 individuals. The results showed that all four stocks appeared to be genetically differentiated populations, but at lower levels of differentiation between FASH and ISSH than the other two populations. Overall assignment rate with the SNP panel was 80.7%, and agreement between the genetic and traditional visual assignment was 75.5%. The NSAH and NSSH samples had the highest assignment rate (100% and 98.3%, respectively) and highest agreement between traditional and genetic assignment methods (96.6% and 94.9%, respectively). The FASH and ISSH samples had substantially lower assignment rates (72.9% and 51.7%, respectively) and agreement between traditional and genetic methods (39.5% and 48.4%, respectively)
540 _a
540 _ahttps://creativecommons.org/licenses/by/4.0/This work is licensed under a CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/) International license.
546 _aen
690 _aArticle
655 7 _aText
_2local
786 0 _nFish Res
856 4 1 _uhttp://dx.doi.org/10.1016/j.fishres.2022.106231
_zConnect to this object online.
999 _c2322
_d2322