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

Author:

Farrell Edward D.12ORCID,Andersson Leif345ORCID,Bekkevold Dorte6ORCID,Campbell Neil7,Carlsson Jens2ORCID,Clarke Maurice W.8ORCID,Egan Afra8,Folkvord Arild9ORCID,Gras Michaël810,Lusseau Susan Mærsk711,Mackinson Steven12,Nolan Cormac8,O'Connell Steven7,O'Malley Michael8,Pastoors Martin13,Pettersson Mats E.3ORCID,White Emma8

Affiliation:

1. EDF Scientific Limited, Rathaha, Ladysbridge, Cork, Ireland

2. Area 52 Research Group, School of Biology and Environmental Science/Earth Institute, Science Centre West, University College Dublin, Dublin, Ireland

3. Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden

4. Department of Veterinary Integrative Biosciences, Texas A&M University, College Station, Texas, USA

5. Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, Uppsala, Sweden

6. National Institute of Aquatic Resources, Technical University of Denmark, Silkeborg, Denmark

7. Marine Scotland Science, 375 Victoria Road, Aberdeen AB11 9DB, Scotland

8. Marine Institute, Rinville, Oranmore, Co. Galway, Ireland

9. Department of Biological Sciences, University of Bergen, Bergen, Norway

10. European Commission, Joint Research Centre (JRC), Ispra, Italy

11. National Institute of Aquatic Resources, Willemoesvej 2, Hovedbygning, 067, 9850 Hirtshals, Denmark

12. Scottish Pelagic Fishermen's Association, Heritage House, 135-139 Shore Street, Fraserburgh, Aberdeenshire, Scotland

13. Pelagic Freezer-trawler Association, Louis Braillelaan 80, 2719 EK Zoetermeer, The Netherlands

Abstract

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.

Funder

European Commission

Publisher

The Royal Society

Subject

Multidisciplinary

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