A chromosome-level assembly of the Atlantic herring – detection of a supergene and other signals of selection
Year: 2019
Type: preprint
Abstract: ABSTRACT The Atlantic herring is a model species for exploring the genetic basis for ecological adaptation, due to its huge population size and extremely low genetic differentiation at selectively neutral loci. However, such studies have so far been hampered because of a highly fragmented genome assembly. Here, we deliver a chromosome-level genome assembly based on a hybrid approach combining a de novo PacBio assembly with Hi-C-supported scaffolding. The assembly comprises 26 autosomes with sizes ranging from 12.4 to 33.1 Mb and a total size, in chromosomes, of 726 Mb. The development of a high-resolution linkage map confirmed the global chromosome organization and the linear order of genomic segments along the chromosomes. A comparison between the herring genome assembly with other high-quality assemblies from bony fishes revealed few interchromosomal but frequent intrachromosomal rearrangements. The improved assembly makes the analysis of previously intractable large-scale structural variation more feasible; allowing, for example, the detection of a 7.8 Mb inversion on chromosome 12 underlying ecological adaptation. This supergene shows strong genetic differentiation between populations from the northern and southern parts of the species distribution. The chromosome-based assembly also markedly improves the interpretation of previously detected signals of selection, allowing us to reveal hundreds of independent loci associated with ecological adaptation in the Atlantic herring.
DOI: 10.1101/668384
Institutions: Uppsala University, Science for Life Laboratory, BGI Group (China), University of Macau, Chinese Academy of Sciences, University of Chinese Academy of Sciences, China National GeneBank, European Bioinformatics Institute, Norwegian Institute of Marine Research, University of Bergen, Swedish University of Agricultural Sciences, Texas A&M University
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: green
Award: G5953222137
OpenAlex ID: W2950847552
