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利用低覆盖度测序和中密度60K SNP芯片进行蓝贻贝物种的SNP发现及遗传结构研究

SNP discovery and genetic structure in blue mussel species using low coverage sequencing and a medium density 60 K SNP-array.

作者信息

Nascimento-Schulze Jennifer C, Bean Tim P, Peñaloza Carolina, Paris Josephine R, Whiting James R, Simon Alexis, Fraser Bonnie A, Houston Ross D, Bierne Nicolas, Ellis Robert P

机构信息

Biosciences, Faculty of Health and Life Sciences University of Exeter Exeter UK.

Centre for Environment, Fisheries and Aquaculture Science Weymouth Laboratory Weymouth UK.

出版信息

Evol Appl. 2023 Apr 25;16(5):1044-1060. doi: 10.1111/eva.13552. eCollection 2023 May.

Abstract

Blue mussels from the genus are an abundant component of the benthic community, found in the high latitude habitats. These foundation species are relevant to the aquaculture industry, with over 2 million tonnes produced globally each year. Mussels withstand a wide range of environmental conditions and species from the complex readily hybridize in regions where their distributions overlap. Significant effort has been made to investigate the consequences of environmental stress on mussel physiology, reproductive isolation, and local adaptation. Yet our understanding on the genomic mechanisms underlying such processes remains limited. In this study, we developed a multi species medium-density 60 K SNP-array including four species of the genus. SNPs included in the platform were called from 138 mussels from 23 globally distributed mussel populations, sequenced using a whole-genome low coverage approach. The array contains polymorphic SNPs which capture the genetic diversity present in mussel populations thriving across a gradient of environmental conditions (~59 K SNPs) and a set of published and validated SNPs informative for species identification and for diagnosis of transmissible cancer (610 SNPs). The array will allow the consistent genotyping of individuals, facilitating the investigation of ecological and evolutionary processes in these taxa. The applications of this array extend to shellfish aquaculture, contributing to the optimization of this industry via genomic selection of blue mussels, parentage assignment, inbreeding assessment and traceability. Further applications such as genome wide association studies (GWAS) for key production traits and those related to environmental resilience are especially relevant to safeguard aquaculture production under climate change.

摘要

贻贝属的蓝贻贝是底栖生物群落的重要组成部分,见于高纬度栖息地。这些基础物种与水产养殖业相关,全球每年产量超过200万吨。贻贝能耐受广泛的环境条件,并且贻贝属的物种在分布重叠区域很容易杂交。人们已付出巨大努力来研究环境压力对贻贝生理、生殖隔离和局部适应性的影响。然而,我们对这些过程背后的基因组机制的理解仍然有限。在本研究中,我们开发了一种包含贻贝属四个物种的多物种中密度60K SNP阵列。该平台包含的单核苷酸多态性(SNP)来自全球23个贻贝种群的138个贻贝,采用全基因组低覆盖方法进行测序。该阵列包含多态性SNP,可捕获在一系列环境条件下(约59K SNP)繁荣生长的贻贝种群中的遗传多样性,以及一组已发表并经验证的用于物种鉴定和可传播癌症诊断的信息性SNP(610个SNP)。该阵列将使个体的基因分型具有一致性,便于研究这些分类群中的生态和进化过程。该阵列的应用扩展到贝类水产养殖,通过对蓝贻贝进行基因组选择、亲权鉴定、近亲繁殖评估和可追溯性,有助于优化该行业。诸如针对关键生产性状和与环境适应力相关性状的全基因组关联研究(GWAS)等进一步应用,对于在气候变化下保障水产养殖生产尤为重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c7f7/10197230/8ff849a6d3e7/EVA-16-1044-g005.jpg

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