Department of Ecosystems in the Barents Region, Svanhovd Research Station, Norwegian Institute of Bioeconomy Research, 9925 Svanvik, Norway.
Akvaplan-Niva Iceland Office, Akralind 6, 201 Kópavogur, Iceland.
Genes (Basel). 2023 Sep 26;14(10):1870. doi: 10.3390/genes14101870.
Aquaculture of the lumpfish ( L.) has become a large, lucrative industry owing to the escalating demand for "cleaner fish" to minimise sea lice infestations in Atlantic salmon mariculture farms. We used over 10K genome-wide single nucleotide polymorphisms (SNPs) to investigate the spatial patterns of genomic variation in the lumpfish along the coast of Norway and across the North Atlantic. Moreover, we applied three genome scans for outliers and two genotype-environment association tests to assess the signatures and patterns of local adaptation under extensive gene flow. With our 'global' sampling regime, we found two major genetic groups of lumpfish, i.e., the western and eastern Atlantic. Regionally in Norway, we found marginal evidence of population structure, where the population genomic analysis revealed a small portion of individuals with a different genetic ancestry. Nevertheless, we found strong support for local adaption under high gene flow in the Norwegian lumpfish and identified over 380 high-confidence environment-associated loci linked to gene sets with a key role in biological processes associated with environmental pressures and embryonic development. Our results bridge population genetic/genomics studies with seascape genomics studies and will facilitate genome-enabled monitoring of the genetic impacts of escapees and allow for genetic-informed broodstock selection and management in Norway.
由于对“清洁鱼”的需求不断增加,以尽量减少大西洋鲑鱼海水养殖农场中的海虱感染,鳞鲀(Lumpfish)的水产养殖已成为一个庞大而有利可图的产业。我们使用了超过 10000 个全基因组单核苷酸多态性(SNP)来研究挪威沿海和北大西洋鳞鲀的基因组变异的空间模式。此外,我们应用了三种外显子扫描和两种基因型-环境关联测试来评估在广泛基因流下的局部适应的特征和模式。通过我们的“全球”采样方案,我们发现了两种主要的鳞鲀遗传群体,即大西洋西部和东部群体。在挪威,我们发现了种群结构的边际证据,种群基因组分析显示有一小部分个体具有不同的遗传背景。然而,我们发现挪威鳞鲀在高基因流下存在强烈的局部适应,并鉴定出 380 多个与在环境压力和胚胎发育相关的生物学过程中起关键作用的基因集相关的高置信度环境关联基因座。我们的研究结果将种群遗传/基因组学研究与景观基因组学研究联系起来,将有助于对逃逸者的遗传影响进行基于基因组的监测,并允许在挪威进行基于遗传的亲鱼选择和管理。