Gill Transcriptome Sequencing and De Novo Annotation of <i>Acanthogobius ommaturus</i> in Response to Salinity Stress

<i>Acanthogobius ommaturus</i> is a euryhaline fish widely distributed in coastal, bay and estuarine areas, showing a strong tolerance to salinity. In order to understand the mechanism of adaptation to salinity stress, RNA-seq was used to compare the transcriptome responses of <i>A...

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Bibliographic Details
Main Authors: Zhicheng Sun, Fangrui Lou, Yuan Zhang, Na Song
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Genes
Subjects:
Online Access:https://www.mdpi.com/2073-4425/11/6/631
Description
Summary:<i>Acanthogobius ommaturus</i> is a euryhaline fish widely distributed in coastal, bay and estuarine areas, showing a strong tolerance to salinity. In order to understand the mechanism of adaptation to salinity stress, RNA-seq was used to compare the transcriptome responses of <i>Acanthogobius ommaturus</i> to the changes of salinity. Four salinity gradients, 0 psu, 15 psu (control), 30 psu and 45 psu were set to conduct the experiment. In total, 131,225 unigenes were obtained from the gill tissue of <i>A. ommaturus</i> using the Illumina HiSeq 2000 platform (San Diego, USA). Compared with the gene expression profile of the control group, 572 differentially expressed genes (DEGs) were screened, with 150 at 0 psu, 170 at 30 psu, and 252 at 45 psu. Additionally, among these DEGs, Gene Ontology (GO) analysis indicated that binding, metabolic processes and cellular processes were significantly enriched. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways analysis detected 3, 5 and 8 pathways related to signal transduction, metabolism, digestive and endocrine systems at 0 psu, 30 psu and 45 psu, respectively. Based on GO enrichment analysis and manual literature searches, the results of the present study indicated that <i>A. ommaturus</i> mainly responded to energy metabolism, ion transport and signal transduction to resist the damage caused by salinity stress. Eight DEGs were randomly selected for further validation by quantitative real-time PCR (qRT-PCR) and the results were consistent with the RNA-seq data.
ISSN:2073-4425