基于群体基因组学方法的沟纹地毯蛤(Ruditapes decussatus)抗性/耐病性选择特征

IF 3.5 2区 生物学 Q1 EVOLUTIONARY BIOLOGY
Inés M. Sambade, João Estêvão, Marina Pampín, Andreia Cruz, Eric Guévélou, Andrés Blanco, Francisco Câmara, Jessica Gómez-Garrido, Fernando Cruz, Luca Bargelloni, Stefano Carboni, Tyler Alioto, Benjamin Costas, Sergio Fernández-Boo, Paulino Martínez
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引用次数: 0

摘要

开槽地毯蛤(Ruditapes decussatus)是一种高商业价值的双壳类动物,分布在整个欧洲海岸。由于多种因素的影响,其产量有所下降,特别是受寄生虫的影响。提高猪蹄草的产量需要基因组资源,以确定猪蹄草对猪蹄草抗性/耐受性的遗传因素。本研究通过长、短读测序(1677个contigs;1.386 Mb),并进一步在染色体水平与Hi-C(19个超支架;95.4%的组装)。重复元件被识别(32%),并被屏蔽,用于38276个编码基因和13056个非编码基因的注释。该基因组被用作参考,开发了2bradseq 13438 SNP面板,用于对分布在大西洋和地中海的六个贝类床进行基因组筛选。根据珀金斯病的患病率选择床位,并对所有样本的感染水平进行单独评估。遗传多样性在地中海地区明显高于大西洋地区。在这些区域之间检测到主要的遗传断裂(FST = 0.224),地中海比大西洋更具异质性。不同选择下的几个基因座(394个异常值;在贝类床中检测到261个基因组窗口。通过感染水平和群体基因组学方法检测样品对P. olsenii抗性/耐受性的选择信号,并鉴定出90个帕金斯病抗性/耐受性的共同差异异常值并用于基因挖掘。候选基因和标记的鉴定为珀金斯病的防治和提高沟纹毯蛤的产量提供了宝贵的信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Signatures of Selection for Resistance/Tolerance to Perkinsus olseni in Grooved Carpet Shell Clam (Ruditapes decussatus) Using a Population Genomics Approach

Signatures of Selection for Resistance/Tolerance to Perkinsus olseni in Grooved Carpet Shell Clam (Ruditapes decussatus) Using a Population Genomics Approach

The grooved carpet shell clam (Ruditapes decussatus) is a bivalve of high commercial value distributed throughout the European coast. Its production has suffered a decline caused by different factors, especially by the parasite Perkinsus olsenii. Improving production of R. decussatus requires genomic resources to ascertain the genetic factors underlying resistance/tolerance to P. olsenii. In this study, the first reference genome of R. decussatus was assembled through long- and short-read sequencing (1677 contigs; 1.386 Mb) and further scaffolded at chromosome level with Hi-C (19 superscaffolds; 95.4% of assembly). Repetitive elements were identified (32%) and masked for annotation of 38,276 coding- and 13,056 non-coding genes. This genome was used as a reference to develop a 2bRAD-Seq 13,438 SNP panel for a genomic screening on six shellfish beds distributed across the Atlantic Ocean and Mediterranean Sea. Beds were selected by perkinsosis prevalence and the infection level was individually evaluated in all the samples. Genetic diversity was significantly higher in the Mediterranean than in the Atlantic region. The main genetic breakage was detected between those regions (FST = 0.224), being the Mediterranean more heterogeneous than the Atlantic. Several loci under divergent selection (394 outliers; 261 genomic windows) were detected across shellfish beds. Samples were also inspected to detect signals of selection for resistance/tolerance to P. olsenii by using infection-level and population-genomics approaches, and 90 common divergent outliers for resistance/tolerance to perkinsosis were identified and used for gene mining. Candidate genes and markers identified provide invaluable information for controlling perkinsosis and for improving production of the grooved carpet shell clam.

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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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