Genome-wide identification of Chinese shrimp (Fenneropenaeus chinensis) microRNA responsive to low pH stress by deep sequencing
Genome-wide identification of Chinese shrimp (Fenneropenaeus chinensis) microRNA responsive to low pH stress by deep sequencing
复制标题
通过深度测序全基因组鉴定中国明对虾 (Fenneropenaeus chinensis) 响应低 pH 胁迫的 microRNA
DOI：
10.1007/s12192-019-00989-x
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发表时间：
2019-06
影响因子：
3.8
通讯作者：
Li Jian
中科院分区：
文献类型：
--
作者：
He Yuying;Li Zhaoxia;Zhang Haien;Hu Shuo;Wang Qingyin;Li Jian
pH值对许多水生动物的分布、生长、行为和生理有很大影响。在这里，我们分析了中国明对虾（Fenneropenaeus chinensis）从控制pH（8.2）和低pH（6.5）处理的虾的miRNA表达谱。表达分析鉴定出6种已知的miRNAs和23种新的miRNAs，它们在pH 8.2和pH 6.5之间的表达存在显著差异，差异表达的miRNAs的预测靶基因在有机酸代谢过程、氧化还原酶活性、辅酶结合、辅因子结合和胶原三聚体中显著富集。此外，在京都基因与基因组百科全书（KEGG）的柠檬酸循环、丙酮酸代谢、丝氨酸-细胞因子受体相互作用、紧密连接、碳代谢等多个途径中，靶基因显著富集。
pH has a great impact on the distribution, growth, behavior, and physiology in many aquatic animals. Here, we analyzed miRNA expression profiles of Chinese shrimp (Fenneropenaeus chinensis) from control pH (8.2) and low pH (6.5)-treated shrimp. Expression analysis identified 6 known miRNAs and 23 novel miRNAs with significantly different expression between control pH 8.2 and low pH 6.5; the predicted target genes of differentially expressed miRNAs were significantly enriched in organic acid metabolic process, oxidoreductase activity, coenzyme binding, cofactor binding, and collagen trimer. Moreover, target genes were significantly enriched in several Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways including citrate cycle, pyruvate metabolism, cytokine-cytokine receptor interaction, tight junction, carbon metabolism, etc. Our survey expanded the number of known shrimp miRNAs and provided comprehensive information about miRNA response to low pH stress.
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影响因子：
4.5
作者：
ALLAN, GL;MAGUIRE, GB
通讯作者：
MAGUIRE, GB
DOI：
10.1016/j.bbrc.2014.10.068
发表时间：
2014-11
影响因子：
3.1
作者：
Yan Zhao;Chang-dong Zhu;B. Yan;Jin-liang Zhao;Zhenhua Wang
通讯作者：
Yan Zhao;Chang-dong Zhu;B. Yan;Jin-liang Zhao;Zhenhua Wang
影响因子：
4.5
作者：
Hugues Lemonnier;E. Bernard;E. Boglio;C. Goarant;J. Cochard
通讯作者：
Hugues Lemonnier;E. Bernard;E. Boglio;C. Goarant;J. Cochard
影响因子：
2.6
作者：
Yongeun Kim;H. Mo;Jino Son;Yun-Sik Lee;Sung-Eun Lee;Kijong Cho
通讯作者：
Yongeun Kim;H. Mo;Jino Son;Yun-Sik Lee;Sung-Eun Lee;Kijong Cho
影响因子：
0.8
作者：
M. Ali;A. Pavasovic;P. Mather;P. Prentis
通讯作者：
M. Ali;A. Pavasovic;P. Mather;P. Prentis