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Transcriptome and Gene Coexpression Network Analyses of Two Wild Populations Provides Insight into the High-Salinity Adaptation Mechanisms of Crassostrea ariakensis
Liu, Xingyu1,3; Li, Li1,2,5,6; Li, Ao1,3; Li, Yingxiang1,4,5,6; Wang, Wei1,2,4,5,6; Zhang, Guofan1,4,5,6
2019-10-01
发表期刊MARINE BIOTECHNOLOGY
ISSN1436-2228
卷号21期号:5页码:596-612
通讯作者Li, Li(lili@qdio.ac.cn)
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.
关键词High-salinity adaptation Wild populations Larvae transcriptome Weighted gene correlation network analysis Crassostrea ariakensis
DOI10.1007/s10126-019-09896-9
收录类别SCI
语种英语
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] ; 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
WOS类目Biotechnology & Applied Microbiology ; Marine & Freshwater Biology
WOS记录号WOS:000487127600002
出版者SPRINGER
引用统计
被引频次:23[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.qdio.ac.cn/handle/337002/162996
专题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, 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
第一作者单位中国科学院海洋研究所
通讯作者单位中国科学院海洋研究所
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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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