Functional genetic diversity in an exploited marine species and its relevance to fisheries management

Autor: Madonna L. Moss, Melissa Orobko, Daniel E. Ruzzante, Angela P. Fuentes-Pardo, Carolyn Tarpey, Luke A. Rogers, Lorenz Hauser, Isadora Jimenez-Hidalgo, Dayv Lowry, Eleni L. Petrou, Todd Sandell, Tony J. Pitcher, Dongya Y. Yang
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Proceedings of the Royal Society B: Biological Sciences
Popis: The timing of reproduction influences key evolutionary and ecological processes in wild populations. Variation in reproductive timing may be an especially important evolutionary driver in the marine environment, where the high mobility of many species and few physical barriers to migration provide limited opportunities for spatial divergence to arise. Using genomic data collected from spawning aggregations of Pacific herring (Clupea pallasii) across 1600 km of coastline, we show that reproductive timing drives population structure in these pelagic fish. Within a specific spawning season, we observed isolation by distance, indicating that gene flow is also geographically limited over our study area. These results emphasize the importance of considering both seasonal and spatial variation in spawning when delineating management units for herring. On several chromosomes, we detected linkage disequilibrium extending over multiple Mb, suggesting the presence of chromosomal rearrangements. Spawning phenology was highly correlated with polymorphisms in several genes, in particularSYNE2, which influences the development of retinal photoreceptors in vertebrates.SYNE2is probably within a chromosomal rearrangement in Pacific herring and is also associated with spawn timing in Atlantic herring (Clupea harengus). The observed genetic diversity probably underlies resource waves provided by spawning herring. Given the ecological, economic and cultural significance of herring, our results support that conserving intraspecific genetic diversity is important for maintaining current and future ecosystem processes.
Databáze: OpenAIRE