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A Parallel Population Genomic and Hydrodynamic Approach to Fishery Management of Highly-Dispersive Marine Invertebrates: The Case of the Fijian Black-Lip Pearl Oyster Pinctada margaritifera

机译:高分散海洋无脊椎动物渔业管理的并行种群基因组学和流体力学方法:以斐济黑唇牡蛎牡蛎Pinctada margaritifera为例

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摘要

Fishery management and conservation of marine species increasingly relies on genetic data to delineate biologically relevant stock boundaries. Unfortunately for high gene flow species which may display low, but statistically significant population structure, there is no clear consensus on the level of differentiation required to resolve distinct stocks. The use of fine-scale neutral and adaptive variation, considered together with environmental data can offer additional insights to this problem. Genome-wide genetic data (4,123 SNPs), together with an independent hydrodynamic particle dispersal model were used to inform farm and fishery management in the Fijian black-lip pearl oyster Pinctada margaritifera, where comprehensive fishery management is lacking, and the sustainability of exploitation uncertain. Weak fine-scale patterns of population structure were detected, indicative of broad-scale panmixia among wild oysters, while a hatchery-sourced farmed population exhibited a higher degree of genetic divergence (Fst = 0.0850–0.102). This hatchery-produced population had also experienced a bottleneck (NeLD = 5.1; 95% C.I. = [5.1–5.3]); compared to infinite NeLD estimates for all wild oysters. Simulation of larval transport pathways confirmed the existence of broad-scale mixture by surface ocean currents, correlating well with fine-scale patterns of population structuring. Fst outlier tests failed to detect large numbers of loci supportive of selection, with 2–5 directional outlier SNPs identified (average Fst = 0.116). The lack of biologically significant population genetic structure, absence of evidence for local adaptation and larval dispersal simulation, all indicate the existence of a single genetic stock of P. margaritifera in the Fiji Islands. This approach using independent genomic and oceanographic tools has allowed fundamental insights into stock structure in this species, with transferability to other highly-dispersive marine taxa for their conservation and management.
机译:海洋物种的渔业管理和保护越来越依靠遗传数据来界定生物学上相关的种群边界。不幸的是,对于可能显示出低但具有统计学意义的种群结构的高基因流物种,在解决不同种群所需的分化水平上尚无明确共识。结合环境数据一起使用精细尺度的中性和自适应变化可以提供对该问题的更多见解。全基因组遗传数据(4,123个SNP)以及独立的水动力颗粒扩散模型被用于斐济黑唇珍珠牡蛎Pinctada margaritifera的农场和渔业管理,因为该国缺乏全面的渔业管理,开发的可持续性尚不确定。检测到种群结构的精细规模模式较弱,表明在野生牡蛎中出现大规模的混杂症,而孵化场来源的养殖种群表现出较高的遗传差异(Fst = 0.0850–0.102)。该孵化场生产的人口也遇到了瓶颈(NeLD = 5.1; 95%C.I. = [5.1–5.3]);与所有野生牡蛎的无限NeLD估计值相比。幼虫运输途径的模拟证实了地表洋流存在大范围混合物的存在,这与种群结构的精细尺度模式密切相关。 Fst异常值测试未能检测到大量支持选择的基因座,已鉴定出2–5个定向异常值SNP(平均Fst = 0.116)。缺乏生物学上重要的种群遗传结构,缺乏本地适应性证据和幼虫传播模拟,都表明斐济群岛存在玛格丽特体育的单一遗传资源。这种使用独立的基因组学和海洋学工具的方法,使人们对该物种的种群结构有了基本的认识,并可以转移到其他高度分散的海洋生物分类中进行保护和管理。

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