Genome-wide Parallelism Underlies Rapid Freshwater Adaptation Fueled by Standing Genetic Variation in a Wild Fish
A fundamental focus of ecological and evolutionary biology is determining how natural populations adapt to environmental changes. Rapid parallel phenotypic evolution can be leveraged to uncover the genetics of adaptation. Using population genomic approaches, we investigated the genetic architecture underlying rapid parallel freshwater adaptation of Neosalanx brevirostris by comparing four freshwater-resident populations with their common ancestral anadromous population. We demonstrated that the rapid parallel adaptation to freshwater followed a complex polygenic architecture and was characterized by genomic-level parallelism, which proceeded predominantly through repeated selection on the preexisting standing genetic variations. Frequencies of the genome-wide adaptive standing variations were moderate in the ancestral anadromous population, which had pre-adapted to fluctuating salinities. Relatively large allele frequency shifts were observed at some adaptive single-nucleotide polymorphisms (SNPs) during parallel adaptation to freshwater environments, with a large fraction of freshwater-favored alleles being fixed or nearly fixed. These adaptive SNPs were involved in multiple biological functions associated with osmoregulation, immunoregulation, locomotion, metabolism, etc., which were highly consistent with the polygenic architecture of adaptive divergence between the two ecotypes involving multiple complex physiological and behavioral traits. This work provides insight into the mechanisms by which natural populations rapidly evolve to changes in the environment and highlights the importance of standing genetic variation for the evolutionary potential of populations facing global environmental changes.
Authors
- Teng‐Fei Xing (ORCID: https://orcid.org/0000-0002-5183-7439)
- Ting Wang (ORCID: https://orcid.org/0000-0001-5025-4584)
- Yulong Li (ORCID: https://orcid.org/0000-0002-1852-9469)
- Ming-Sheng Zhu
- Jinxian Liu (ORCID: https://orcid.org/0000-0002-0756-2984)
- Jianhui Wu
- Hao Yang
Institutions
- Institute of Oceanology (CN)
- Qingdao National Laboratory for Marine Science and Technology (CN)
- University of Chinese Academy of Sciences (CN)
Publication Details
- Journal
- Molecular Biology and Evolution
- Published
- 2025-07-01
- DOI
- https://doi.org/10.1093/molbev/msaf160
- Citations
- 3
- Primary Topic
- Fish Ecology and Management Studies
- Type
- article
- Field-Weighted Citation Impact
- 6.94
Funders
- National Natural Science Foundation of China