详细信息
RNA-seq analysis reveals divergent adaptive response to hyper- and hypo-salinity in cobia, Rachycentron canadum ( SCI-EXPANDED收录) 被引量:18
文献类型:期刊文献
英文题名:RNA-seq analysis reveals divergent adaptive response to hyper- and hypo-salinity in cobia, Rachycentron canadum
作者:Cao, Danyu[1];Li, Jinfeng[1];Huang, Baosong[1];Zhang, Jiandong[1];Pan, Chuanhao[1];Huang, Jiansheng[1];Zhou, Hui[1];Ma, Qian[1];Chen, Gang[1];Wang, Zhongliang[1]
机构:[1]Guangdong Ocean Univ, Dept Aquaculture, Coll Fisheries, Zhanjiang 524088, Guangdong, Peoples R China
年份:2020
卷号:46
期号:5
起止页码:1713
外文期刊名:FISH PHYSIOLOGY AND BIOCHEMISTRY
收录:SCI-EXPANDED(收录号:WOS:000538967200003)、、WOS
基金:This work was supported by the China Agriculture Research System (CARS-47). The funding bodies were not involved in the design of the study and collection, analysis, and writing of the manuscript, but provided financial support to cover the costs of the bioassays and sequencing.
语种:英文
外文关键词:Transcriptome; Salinity adaptation; Rachycentron canadum; RNA-seq; Differential gene expression
外文摘要:Salinity is an important abiotic stress that affects metabolic and physiological activities, breed, development, and growth of marine fish. Studies have shown that cobia (Rachycentron canadum), a euryhaline marine teleost fish, possesses the ability of rapid and effective hyper/hypo iono- and osmoregulation. However, genomic studies on this species are lacking and it has not been studied at the transcriptome level to identify the genes responsible for salinity regulation, which affects the understanding of the fundamental mechanism underlying adaptation to fluctuations in salinity. To describe the molecular response of cobia to different salinity levels, we used RNA-seq analysis to identify genes and biological processes involved in response to salinity changes. In the present study, 395,080,114 clean reads were generated and then assembled into 65,318 unigenes with an N50 size of 2758 bp. There were 20,671 significantly differentially expressed genes (DEGs) including 8805 genes adapted to hypo-salinity and 11,866 genes adapted to hyper-salinity. These DEGs were highly represented in steroid biosynthesis, unsaturated fatty acid metabolism, glutathione metabolism, energy metabolism, osmoregulation, and immune response. The candidate genes identified in cobia provide valuable information for studying the molecular mechanism of salinity adaptation in marine fish. Furthermore, the transcriptomic sequencing data acts not only as an important resource for the identification of novel genes but also for further investigations regarding cobia biology.
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