Time-series transcriptomic analysis of the kelp grouper Epinephelus moara in response to low salinity stress
文献类型： 外文期刊
作者： Gao, Quanxin 1 ; Yue, Yanfeng 1 ; Min, Minghua 1 ; Peng, Shiming 1 ; Shi, Zhaohong 1 ; Wang, Jinbo 2 ; Zhang, Tao 3 ;
作者机构： 1.Chinese Acad Fishery Sci, Key Lab Marine & Estuarine Fisheries, Minist Agr, East China Sea Fisheries Res Inst, Shanghai, Peoples R China
2.Zhejiang Univ, Ningbo Inst Technol, Ningbo, Zhejiang, Peoples R China
3.Aquat Technol Promoting Stn Meijiang Dist, Meizhou, Peoples R China
关键词： Epinephelus moara; transcriptome; low-salinity stress
期刊名称：ANIMAL CELLS AND SYSTEMS （ 影响因子：1.815； 五年影响因子：1.336 ）
ISSN： 1976-8354
年卷期： 2018 年 22 卷 4 期
页码：
收录情况： SCI
摘要： The Kelp grouper Epinephelus moara is one of the most widely consumed and economically important marine fish in China. The species can tolerate a wide range of salinity, but genomic resources are not available, and the molecular mechanisms underlying adaptation to salinity at the transcriptomic level remain largely unclear. In this study, the transcriptomic responses of the liver of E. moara under low salinity were investigated using the Illumina digital gene expression system. After de novo assembly, 499,356 transcripts were generated and contributed 445,068 unigenes. A total of 14, 19, 33 and 3101 genes were differentially expressed following exposure to low salinity stress for 2, 6, 24 and 48h, respectively. Only two genes were differentially expressed in all groups. Four genes related to metabolism and ambient salinity adaption were randomly selected to validate the differentially expressed genes (DEGs) by real-time PCR. Gene Ontology (GO) and Kyoto Encyclopaedia of Genes and Genomes (KEGG) pathway enrichment analysis were used to analyse the functional significance of DEGs, including those responding to salinity through diverse biological processes, cellular components, molecular functions, and pathways associated with metabolic and osmotic responses. This work provides new insight into the response to salinity challenges in E. moara, and the findings expand our knowledge of the molecular basis of metabolic regulation mechanisms in this species. Additionally, the transcriptional data provide a valuable resource for future molecular and genetic studies on E. moara.
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