熊本牡蛎的基因组揭示了双壳类动物的进化和环境适应

IF 3.2 2区 生物学 Q1 EVOLUTIONARY BIOLOGY
Sheng Liu, Youli Liu, Ximing Guo, Naoki Itoh, Guangqiu Chang, Zhihua Lin, Qinggang Xue
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引用次数: 0

摘要

熊本牡蛎(Crassostrea sikamea)是一种海洋双壳类动物,自然分布在中国南部和日本南部沿海地区,自20世纪40年代从日本引入美国以来,一直在美国进行驯化。为了了解其进化史和环境适应性,我们构建了狐猴染色体水平的基因组组装,并对美国孵化场种群的141个个体和中国和日本的6个野生种群进行了全基因组重测序。该基因组全长616 Mb,覆盖了全部10条染色体,其中contig N50为4.21 Mb, scaffold N50为62.25 Mb。系统发育分析表明,sikamea大约在990万年前从长角长牡蛎和长牡蛎演化而来。同源性分析显示,在双壳类动物进化过程中存在显著的染色体重排,但在约1.8亿年的时间里,所有10条牡蛎染色体都有显著的保存,这是染色体进化的惊人差异。系统发育分析为美国、日本和中国人群产生了三个不同的集群,其中美国人口更接近日本人口,证实了其起源。5个中国群体间未发现分化,表明基因流动强。在美国和日本种群中,402个基因表现出选择信号,包括3个肌球蛋白重链基因,这些基因在东牡蛎驯化系中也有分化,表明这些基因的变化可能对国内生产很重要。在日本和中国自然种群之间表现出选择信号的768个基因中,与应激反应相关的基因最为丰富,表明对环境应激的反应对当地适应至关重要。这些发现为双壳类动物的进化和环境适应提供了新的思路,也为熊本牡蛎养殖种群的比较基因组学和遗传改良提供了有用的资源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Genome of Kumamoto Oyster Crassostrea sikamea Provides Insights Into Bivalve Evolution and Environmental Adaptation

Genome of Kumamoto Oyster Crassostrea sikamea Provides Insights Into Bivalve Evolution and Environmental Adaptation

The Kumamoto oyster, Crassostrea sikamea, is a marine bivalve naturally distributed along the coasts of southern China and southern Japan, with a hatchery population that has been under domestication in the United States since its introduction from Japan in the 1940s. To understand its evolutionary history and environmental adaptation, we produced a chromosome-level genome assembly of C. sikamea and conducted whole-genome resequencing of 141 individuals from the US hatchery population and six wild populations from China and Japan. The assembled genome of C. sikamea has a size of 616 Mb covering all 10 chromosomes with a contig N50 of 4.21 Mb and a scaffold N50 of 62.25 Mb. Phylogenetic analysis indicated that C. sikamea diverged from the Crassostrea angulata and Crassostrea gigas clade about 9.9 million years ago. Synteny analysis revealed significant chromosomal rearrangements during bivalve evolution leading to oysters, but remarkable conservation of all 10 oyster chromosomes over ~180 million years, a surprising disparity in chromosomal evolution. Phylogenetic analysis produced three distinct clusters for the US, Japanese, and Chinese populations, with the US population closer to the Japanese population, confirming its origin. No differentiation was detected among the five Chinese populations, indicating strong gene flow. Between the US and Japan populations, 402 genes exhibited selection signals, including three myosin heavy chain genes that were also differentiated in domesticated lines of the eastern oyster, suggesting changes in these genes may be important for domestic production. Among the 768 genes showing selection signals between natural populations of Japan and China, genes related to stress response are most enriched, suggesting responding to environmental stress is critical for local adaptation. These findings provide insights into bivalve evolution and environmental adaptation, as well as useful resources for comparative genomics and genetic improvement of cultured Kumamoto oyster stocks.

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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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