Temporal stability and assignment power of adaptively divergent genomic regions between herring ( Clupea harengus) seasonal spawning aggregations

• Published in: Ecology and Evolution
• Main Authors: Kerr, Quentin, Fuentes‐Pardo, Angela P., Kho, James, McDermid, Jenni L., Ruzzante, Daniel E.
• Other Authors: Natural Sciences and Engineering Research Council of Canada
• Format: Article in Journal/Newspaper
• Language: English
• Published: Wiley 2018
• Subjects: Northwest Atlantic
• Online Access: http://dx.doi.org/10.1002/ece3.4768; https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fece3.4768; https://onlinelibrary.wiley.com/doi/pdf/10.1002/ece3.4768; https://onlinelibrary.wiley.com/doi/full-xml/10.1002/ece3.4768

Abstract Atlantic herring ( Clupea harengus ), a vital ecosystem component and target of the largest Northwest Atlantic pelagic fishery, undergo seasonal spawning migrations that result in elusive sympatric population structure. Herring spawn mostly in fall or spring, and genomic differentiation was recently detected between these groups. Here we used a subset of this differentiation, 66 single nucleotide polymorphisms (SNPs) to analyze the temporal dynamics of this local adaptation and the applicability of SNP subsets in stock assessment. We showed remarkable temporal stability of genomic differentiation corresponding to spawning season, between samples taken a decade apart (2005 N = 90 vs. 2014 N = 71) in the Gulf of St. Lawrence, and new evidence of limited interbreeding between spawning components. We also examined an understudied and overexploited herring population in Bras d'Or lake ( N = 97); using highly reduced SNP panels ( N SNPs > 6), we verified little‐known sympatric spawning populations within this unique inland sea. These results describe consistent local adaptation, arising from asynchronous reproduction in a migratory and dynamic marine species. Our research demonstrates the efficiency and precision of SNP‐based assessments of sympatric subpopulations; and indeed, this temporally stable local adaptation underlines the importance of such fine‐scale management practices.