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

IOCAS-IR

	Transcriptome and Gene Coexpression Network Analyses of Two Wild Populations Provides Insight into the High-Salinity Adaptation Mechanisms of Crassostrea ariakensis.
	Liu, Xingyu; Li, Li; Li, Ao; Li, Yingxiang; Wang, Wei; Zhang, Guofan
	2019-10-01
Source Publication	Marine Biotechnology (New York Springer)
ISSN	1436-2228
Volume	21 Issue:5 Pages:596-612
Abstract	Crassostrea ariakensis naturally distributes in the intertidal and estuary region with relative low salinity ranging from 10 to 25[per mill]. 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[per mill]. 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[per mill]), 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.
Indexed By	SCI
Language	英语
WOS Research Area	Zoology ; Physiology ; Biochemistry & Molecular Biology ; Genetics & Heredity ; Environmental Sciences & Ecology
WOS Subject	ZOOLOGY ; PHYSIOLOGY ; BIOCHEMISTRY MOLECULAR BIOLOGY ; GENETICS HEREDITY ; ENVIRONMENTAL SCIENCES
WOS ID	WOS:ZOOR15512088593
Citation statistics
Document Type	期刊论文
Identifier	http://ir.qdio.ac.cn/handle/337002/164908
Collection	中国科学院海洋研究所
Affiliation	Chinese Acad Sci, Inst Oceanol, Qingdao, Shandong, China
First 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 (New York Springer),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 (New York Springer),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 (New York Springer) 21.5(2019):596-612.

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