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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
Source PublicationMARINE BIOTECHNOLOGY
ISSN1436-2228
Volume21Issue:5Pages:596-612
Corresponding AuthorLi, Li(lili@qdio.ac.cn)
AbstractCrassostrea 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.
KeywordHigh-salinity adaptation Wild populations Larvae transcriptome Weighted gene correlation network analysis Crassostrea ariakensis
DOI10.1007/s10126-019-09896-9
Indexed BySCI
Language英语
Funding ProjectStrategic 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 AreaBiotechnology & Applied Microbiology ; Marine & Freshwater Biology
WOS SubjectBiotechnology & Applied Microbiology ; Marine & Freshwater Biology
WOS IDWOS:000487127600002
PublisherSPRINGER
Citation statistics
Cited Times:3[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.qdio.ac.cn/handle/337002/162996
Collection实验海洋生物学重点实验室
Corresponding AuthorLi, Li
Affiliation1.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 AffilicationInstitute of Oceanology, Chinese Academy of Sciences
Corresponding Author AffilicationInstitute 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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