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

IOCAS-IR > 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 1,3; Li, Li 1,2,5,6; Li, Ao 1,3; Li, Yingxiang1,4,5,6 ; Wang, Wei 1,2,4,5,6; Zhang, Guofan 1,4,5,6
	2019-10-01
Source Publication	MARINE BIOTECHNOLOGY
ISSN	1436-2228
Volume	21 Issue:5 Pages:596-612
Corresponding Author	Li, Li(lili@qdio.ac.cn)
Abstract	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.
Keyword	High-salinity adaptation Wild populations Larvae transcriptome Weighted gene correlation network analysis Crassostrea ariakensis
DOI	10.1007/s10126-019-09896-9
Indexed By	SCI
Language	英语
Funding Project	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] ; 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 Research Area	Biotechnology & Applied Microbiology ; Marine & Freshwater Biology
WOS Subject	Biotechnology & Applied Microbiology ; Marine & Freshwater Biology
WOS ID	WOS:000487127600002
Publisher	SPRINGER
Citation statistics	Cited Times:5[WOS] [WOS Record] [Related Records in WOS]
Document Type	期刊论文
Identifier	http://ir.qdio.ac.cn/handle/337002/162996
Collection	实验海洋生物学重点实验室
Corresponding Author	Li, Li
Affiliation	1.Chinese Acad Sci, Inst Oceanol, Key Lab Expt Marine Biol, Qingdao, Shandong, Peoples R China 2.Qingdao Natl Lab Marine Sci & Technol, Lab Marine Fisheries Sci & Food Prod Proc, Qingdao, Shandong, Peoples R China 3.Univ Chinese Acad Sci, Beijing, Peoples R China 4.Qingdao Natl Lab Marine Sci & Technol, Lab Marine Biol & Biotechnol, Qingdao, Shandong, Peoples R China 5.Chinese Acad Sci, Ctr Ocean Mega Sci, Beijing, Peoples R China 6.Chinese Acad Sci, Inst Oceanol, Natl & Local Joint Engn Key Lab Ecol Mariculture, Qingdao, Shandong, Peoples R China
First Author Affilication	Institute of Oceanology, Chinese Academy of Sciences
Corresponding Author Affilication	Institute of Oceanology, Chinese Academy of Sciences
Recommended Citation 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.

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