Transcriptome and Gene Coexpression Network Analyses of Two Wild Populations Provides Insight into the High-Salinity Adaptation Mechanisms of Crassostrea ariakensis

doi:10.1007/s10126-019-09896-9

CORC > 海洋研究所 > 中国科学院海洋研究所 > 实验海洋生物学重点实验室

	Transcriptome and Gene Coexpression Network Analyses of Two Wild Populations Provides Insight into the High-Salinity Adaptation Mechanisms of Crassostrea ariakensis
	Liu, Xingyu 4,6; Li, Li 1,2,5,6; Li, Ao 4,6; Li, Yingxiang1,2,3,6 ; Wang, Wei 1,2,3,5,6; Zhang, Guofan 1,2,3,6
刊名	MARINE BIOTECHNOLOGY
	2019-10-01
卷号	21 期号:5 页码:596-612
关键词	High-salinity adaptation Wild populations Larvae transcriptome Weighted gene correlation network analysis Crassostrea ariakensis
ISSN号	1436-2228
DOI	10.1007/s10126-019-09896-9
通讯作者	Li, Li(lili@qdio.ac.cn)
英文摘要	Crassostrea ariakensis naturally distributes in the intertidal and estuary region with relative low salinity ranging from 10 to 25 parts per thousand. To understand the adaptive capacity of oysters to salinity stress, we conducted transcriptome analysis to investigate the metabolic pathways of salinity stress effectors in oysters from two different geographical sites, namely at salinities of 16, 23, and 30 parts per thousand. We completed transcriptome sequencing of 18 samples and a total of 52,392 unigenes were obtained after assembly. Differentially expressed gene (DEG) analysis and weighted gene correlation network analysis (WGCNA) were performed using RNA-Seq transcriptomic data from eye-spot larvae at different salinities and from different populations. The results showed that at moderately high salinities (23 and 30 parts per thousand), genes related to osmotic agents, oxidation-reduction processes, and related regulatory networks of complex transcriptional regulation and signal transduction pathways dominated to counteract the salinity stress. Moreover, there were adaptive differences in salinity response mechanisms, especially at high salinity, in oyster larvae from different populations. These results provide a framework for understanding the interactions of multiple pathways at the system level and for elucidating the complex cellular processes involved in responding to osmotic stress and maintaining growth. Furthermore, the results facilitate further research into the biological processes underlying physiological adaptations to hypertonic stress in marine invertebrates and provide a molecular basis for our subsequent search for high salinity-tolerant populations.
资助项目	Strategic Priority Research Program of the Chinese Academy of Sciences[XDA23050402] ; National Key R&D Program of China[2018YFD0900304] ; Earmarked Fund for Modern Agro-industry Technology Research System[CARS-49]
WOS研究方向	Biotechnology & Applied Microbiology ; Marine & Freshwater Biology
语种	英语
出版者	SPRINGER
WOS记录号	WOS:000487127600002
内容类型	期刊论文
源URL	[http://ir.qdio.ac.cn/handle/337002/162995]
专题	海洋研究所_实验海洋生物学重点实验室
通讯作者	Li, Li
作者单位	1.Chinese Acad Sci, Inst Oceanol, Natl & Local Joint Engn Key Lab Ecol Mariculture, Qingdao, Shandong, Peoples R China 2.Chinese Acad Sci, Ctr Ocean Mega Sci, Beijing, Peoples R China 3.Qingdao Natl Lab Marine Sci & Technol, Lab Marine Biol & Biotechnol, Qingdao, Shandong, Peoples R China 4.Univ Chinese Acad Sci, Beijing, Peoples R China 5.Qingdao Natl Lab Marine Sci & Technol, Lab Marine Fisheries Sci & Food Prod Proc, Qingdao, Shandong, Peoples R China 6.Chinese Acad Sci, Inst Oceanol, Key Lab Expt Marine Biol, Qingdao, Shandong, Peoples R China
推荐引用方式 GB/T 7714	Liu, Xingyu,Li, Li,Li, Ao,et al. Transcriptome and Gene Coexpression Network Analyses of Two Wild Populations Provides Insight into the High-Salinity Adaptation Mechanisms of Crassostrea ariakensis[J]. MARINE BIOTECHNOLOGY,2019,21(5):596-612.
APA	Liu, Xingyu,Li, Li,Li, Ao,Li, Yingxiang,Wang, Wei,&Zhang, Guofan.(2019).Transcriptome and Gene Coexpression Network Analyses of Two Wild Populations Provides Insight into the High-Salinity Adaptation Mechanisms of Crassostrea ariakensis.MARINE BIOTECHNOLOGY,21(5),596-612.
MLA	Liu, Xingyu,et al."Transcriptome and Gene Coexpression Network Analyses of Two Wild Populations Provides Insight into the High-Salinity Adaptation Mechanisms of Crassostrea ariakensis".MARINE BIOTECHNOLOGY 21.5(2019):596-612.