No loss of genetic diversity in the exploited and recently collapsed population of Bay of Biscay anchovy (Engraulis encrasicolus, L.)
Carvalho, Gary R.
KAUST DepartmentBiological and Environmental Sciences and Engineering (BESE) Division
Marine Science Program
Red Sea Research Center (RSRC)
Online Publication Date2016-04-11
Print Publication Date2016-05
Permanent link to this recordhttp://hdl.handle.net/10754/621777
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AbstractThe European anchovy, Engraulis encrasicolus, in the Bay of Biscay suffered a collapse in census population size (Nc) starting in 2002, from which it did not recover until 2010. The slow recovery raised concern over sustainability, potential reduction in adaptive potential, and vulnerability to local extirpation. Long- and short-term effective population size (Ne), Ne/Nc ratio, and other genetic parameters were estimated to evaluate demographic signals of population decline. A total of 349 neutral single-nucleotide polymorphisms (SNPs) were screened in 330 anchovy individuals from the Bay of Biscay distributed across a 20-year period. We show that Nc fluctuations have not significantly affected short-term Ne, and therefore, genetic diversity has remained stable throughout the recent collapse. This study illustrates that Ne estimates should be incorporated into management plans. Our results on short-term Ne suggested that the anchovy in the Bay of Biscay has not faced any recent severe threat of losing evolutionary potential due to genetic drift. However, differences between short- and long-term Ne estimates suggested that the Bay of Biscay anchovy population may be currently much smaller than in the historical past. © 2016, Springer-Verlag Berlin Heidelberg.
CitationMontes I, Iriondo M, Manzano C, Santos M, Conklin D, et al. (2016) No loss of genetic diversity in the exploited and recently collapsed population of Bay of Biscay anchovy (Engraulis encrasicolus, L.). Mar Biol 163. Available: http://dx.doi.org/10.1007/s00227-016-2866-2.
SponsorsThe authors thank for technical and human support provided by Sequencing and Genotyping SGIker unit of UPV/EHU and European funding (ERDF and ESF). Dave Bembo provided the sample from the year 1993. The authors gratefully acknowledge the experienced advice from Jennifer Ovenden and Robin S. Waples for estimating N<INF>e</INF> through the temporal method. This research was supported by the project ECOGENBAY (MICINN CTM2009-13570-C02-02) funded by the Ministry of Science and Research of the Government of Spain, by the Genomic-Resources Research Group from the Basque University System (IT558-10) supported by the Department of Education, Universities and Research of the Basque Government, and by a Research Grant (3571/2008) from the University of the Basque Country (UPV/EHU). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.