| Autor: |
Peng Sun, Di Zhang, Na Li, Xiao-Fei Li, Yi-Han Ma, Hui Li, Ye Tian, Tao Wang, Shahrood Ahmed Siddiquid, Wu-wen Sun, Lei Zhang, Xiao-Feng Shan, Chun-Feng Wang, Ai-Dong Qian, Dong-Xing Zhang |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
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| Zdroj: |
Ecotoxicology and Environmental Safety, Vol 255, Iss , Pp 114825- (2023) |
| Druh dokumentu: |
article |
| ISSN: |
0147-6513 |
| DOI: |
10.1016/j.ecoenv.2023.114825 |
| Popis: |
Intestinal inflammation is a protective response that is implicated in bacterial enteritis triggered by gastrointestinal infection. The immune mechanisms elicited in teleost against the infection of Aeromonas veronii are largely unknown. In this study, we performed a de novo northern snakehead (Channa argus) transcriptome assembly using Illumina sequencing platform. On this basis we performed a comparative transcriptomic analysis of northern snakehead intestine from A. veronii-challenge and phosphate buffer solution (PBS)-challenge fish, and 2076 genes were up-regulated and 1598 genes were down-regulated in the intestines infected with A. veronii. The Gene Ontology (GO) enrichment analysis indicated that the differentially expressed genes (DEGs) were enriched to 27, 21 and 20 GO terms in biological process, cellular component, and molecular function, respectively. A Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis showed that 420 DEGs were involved in 194 pathways. Moreover, 33 DEGs were selected for quantitative real-time PCR analysis to validate the RNA-seq data. The results reflected the consistency of the expression levels between qRT-PCR and RNA-seq data. In addition, a time-course analysis of the mRNA expression of 33 immune-related genes further indicated that the intestinal inflammation to A. veronii infection simultaneously regulated gene expression alterations. The present study provides transcriptome data of the teleost intestine, allowing us to understand the mechanisms of intestinal inflammation triggered by bacterial pathogens. Data availability statement: All data supporting the findings of this study are available within the article and Supplementary files. The RNA-seq raw sequence data are available in NCBI short read archive (SRA) database under accession number PRJNA615958. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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