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Journal article

A baseline for the genetic stock identification of Atlantic herring, Clupea harengus, in ICES Divisions 6.a, 7.b-c

From

EDF Scientific Ltd.1

Scottish Pelagic Fishermen’s Association Ltd.2

Pelagic Freezer Trawler Association3

Uppsala University4

National Institute of Aquatic Resources, Technical University of Denmark5

Section for Marine Living Resources, National Institute of Aquatic Resources, Technical University of Denmark6

Marine Scotland Science7

University College Dublin8

Marine Institute9

University of Bergen10

Section for Monitoring and Data, National Institute of Aquatic Resources, Technical University of Denmark11

...and 1 more

Atlantic herring in International Council for Exploration of the Sea (ICES) Divisions 6.a, 7.b-c comprises at least three populations, distinguished by temporal and spatial differences in spawning, which have until recently been managed as two stocks defined by geographical delineators. Outside of spawning the populations form mixed aggregations, which are the subject of acoustic surveys.

The inability to distinguish the populations has prevented the development of separate survey indices and separate stock assessments. A panel of 45 single-nucleotide polymorphisms, derived from whole-genome sequencing, were used to genotype 3480 baseline spawning samples (2014-2021). A temporally stable baseline comprising 2316 herring from populations known to inhabit Division 6.a was used to develop a genetic assignment method, with a self-assignment accuracy greater than 90%.

The long-term temporal stability of the assignment model was validated by assigning archive (2003-2004) baseline samples (270 individuals) with a high level of accuracy. Assignment of non-baseline samples (1514 individuals) from Divisions 6.a, 7.b-c indicated previously unrecognized levels of mixing of populations outside of the spawning season.

The genetic markers and assignment models presented constitute a 'toolbox' that can be used for the assignment of herring caught in mixed survey and commercial catches in Division 6.a into their population of origin with a high level of accuracy.

Language: English
Publisher: The Royal Society
Year: 2022
Pages: 220453
ISSN: 20545703
Types: Journal article
DOI: 10.1098/rsos.220453
ORCIDs: 0000-0002-0070-9154 , 0000-0002-4085-6968 , Bekkevold, Dorte , 0000-0002-9262-5627 , 0000-0002-6036-9040 , 0000-0002-4763-0590 and 0000-0002-7372-9076

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