Fine-scale population structure of the northern hard clam (Mercenaria mercenaria) revealed by genome-wide SNP markers

IF 3.5 2区 生物学 Q1 EVOLUTIONARY BIOLOGY
Ann J. Ropp, Kimberly S. Reece, Richard A. Snyder, Jingwei Song, Ellen E. Biesack, Jan R. McDowell
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引用次数: 0

Abstract

Aquaculture is growing rapidly worldwide, and sustainability is dependent on an understanding of current genetic variation and levels of connectivity among populations. Genetic data are essential to mitigate the genetic and ecological impacts of aquaculture on wild populations and guard against unintended human-induced loss of intraspecific diversity in aquacultured lines. Impacts of disregarding genetics can include loss of diversity within and between populations and disruption of local adaptation patterns, which can lead to a decrease in fitness. The northern hard clam, Mercenaria mercenaria (Linnaeus, 1758), is an economically valuable aquaculture species along the North American Atlantic and Gulf coasts. Hard clams have a pelagic larval phase that allows for dispersal, but the level of genetic connectivity among geographic areas is not well understood. To better inform the establishment of site-appropriate aquaculture brood stocks, this study used DArTseq™ genotyping by sequencing to characterize the genetic stock structure of wild clams sampled along the east coast of North America and document genetic diversity within populations. Samples were collected from 15 locations from Prince Edward Island, Canada, to South Carolina, USA. Stringent data filtering resulted in 4960 single nucleotide polymorphisms from 448 individuals. Five genetic breaks separating six genetically distinct populations were identified: Canada, Maine, Massachusetts, Mid-Atlantic, Chesapeake Bay, and the Carolinas (FST 0.003–0.046; p < 0.0001). This is the first study to assess population genetic structure of this economically important hard clam along a large portion of its native range with high-resolution genomic markers, enabling identification of previously unrecognized population structure. Results of this study not only broaden insight into the factors shaping the current distribution of M. mercenaria but also reveal the genetic population dynamics of a species with a long pelagic larval dispersal period along the North American Atlantic and Gulf coasts.

全基因组SNP标记揭示的北方硬蛤(佣兵蛤)精细种群结构
水产养殖在世界范围内迅速发展,其可持续性取决于对当前遗传变异和种群间连通性水平的了解。遗传数据对于减轻水产养殖对野生种群的遗传和生态影响以及防止人为导致的水产养殖品系种内多样性的意外丧失至关重要。忽视遗传的影响可能包括种群内部和种群之间多样性的丧失,以及局部适应模式的破坏,这可能导致适应度下降。北方硬蛤(Linnaeus, 1758)是北美大西洋和墨西哥湾沿岸具有经济价值的养殖品种。硬蛤有一个远洋的幼虫阶段,允许扩散,但是地理区域之间的遗传连通性水平还没有得到很好的理解。为了更好地为建立适合地点的水产养殖育苗种群提供信息,本研究采用DArTseq™基因分型测序方法,对北美东海岸野生蛤蜊的遗传种群结构进行了表征,并记录了种群内的遗传多样性。样本从加拿大爱德华王子岛到美国南卡罗来纳州的15个地点采集。经过严格的数据筛选,从448个个体中获得4960个单核苷酸多态性。五个基因断裂分离了六个遗传上不同的种群:加拿大、缅因州、马萨诸塞州、中大西洋、切萨皮克湾和卡罗来纳(FST 0.003-0.046;p < 0.0001)。这是第一个利用高分辨率基因组标记评估这种具有重要经济意义的硬蛤种群遗传结构的研究,该研究沿着其大部分原生范围进行,使鉴定以前未被识别的种群结构成为可能。本研究结果不仅拓宽了对水蚤分布现状影响因素的认识,而且揭示了水蚤在北美大西洋和墨西哥湾沿岸具有较长远洋扩散期的种群遗传动态。
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来源期刊
Evolutionary Applications
Evolutionary Applications 生物-进化生物学
CiteScore
8.50
自引率
7.30%
发文量
175
审稿时长
6 months
期刊介绍: Evolutionary Applications is a fully peer reviewed open access journal. It publishes papers that utilize concepts from evolutionary biology to address biological questions of health, social and economic relevance. Papers are expected to employ evolutionary concepts or methods to make contributions to areas such as (but not limited to): medicine, agriculture, forestry, exploitation and management (fisheries and wildlife), aquaculture, conservation biology, environmental sciences (including climate change and invasion biology), microbiology, and toxicology. All taxonomic groups are covered from microbes, fungi, plants and animals. In order to better serve the community, we also now strongly encourage submissions of papers making use of modern molecular and genetic methods (population and functional genomics, transcriptomics, proteomics, epigenetics, quantitative genetics, association and linkage mapping) to address important questions in any of these disciplines and in an applied evolutionary framework. Theoretical, empirical, synthesis or perspective papers are welcome.
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