The genetic basis for ecological adaptation of the Atlantic herring revealed by genome sequencing

Álvaro Martínez Barrio(Uppsala University), Sangeet Lamichhaney(Uppsala University), Guangyi Fan(BGI Group (China)), Nima Rafati(Uppsala University), Mats E. Pettersson(Uppsala University), He Zhang(BGI Group (China)), Jacques Dainat(Uppsala University), Diana Ekman(Stockholm University), Marc P. Höppner(Uppsala University), Patric Jern(Uppsala University), Marcel Martin(Stockholm University), Björn Nystedt(Uppsala University), Xin Liu(BGI Group (China)), Wenbin Chen(BGI Group (China)), Xinming Liang(BGI Group (China)), Chengcheng Shi(BGI Group (China)), Yuanyuan Fu(BGI Group (China)), Kailong Ma(BGI Group (China)), Xiao Zhan(BGI Group (China)), Chungang Feng(Uppsala University), Ulla Gustafson(Swedish University of Agricultural Sciences), Carl‐Johan Rubin(Uppsala University), Markus Sällman Almén(Uppsala University), Martina Blass(Swedish University of Agricultural Sciences), Michele Casini(Swedish University of Agricultural Sciences), Arild Folkvord(Norwegian Institute of Marine Research), Linda Laikre(Stockholm University), Nils Ryman(Stockholm University), Simon Ming‐Yuen Lee(University of Macau), Xun Xu(BGI Group (China)), Leif Andersson(Uppsala University)
eLife
May 2, 2016
Cited by 231Open Access
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Abstract

Ecological adaptation is of major relevance to speciation and sustainable population management, but the underlying genetic factors are typically hard to study in natural populations due to genetic differentiation caused by natural selection being confounded with genetic drift in subdivided populations. Here, we use whole genome population sequencing of Atlantic and Baltic herring to reveal the underlying genetic architecture at an unprecedented detailed resolution for both adaptation to a new niche environment and timing of reproduction. We identify almost 500 independent loci associated with a recent niche expansion from marine (Atlantic Ocean) to brackish waters (Baltic Sea), and more than 100 independent loci showing genetic differentiation between spring- and autumn-spawning populations irrespective of geographic origin. Our results show that both coding and non-coding changes contribute to adaptation. Haplotype blocks, often spanning multiple genes and maintained by selection, are associated with genetic differentiation.


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