Literature DB >> 31209725

Genome-wide identification of Chinese shrimp (Fenneropenaeus chinensis) microRNA responsive to low pH stress by deep sequencing.

Yuying He1,2, Zhaoxia Li3, Haien Zhang4, Shuo Hu4, Qingyin Wang1, Jian Li5,6.   

Abstract

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.

Entities:  

Keywords:  Fenneropenaeus chinensis; HiSeq sequencing; Low pH stress; microRNA

Mesh:

Substances:

Year:  2019        PMID: 31209725      PMCID: PMC6629735          DOI: 10.1007/s12192-019-00989-x

Source DB:  PubMed          Journal:  Cell Stress Chaperones        ISSN: 1355-8145            Impact factor:   3.667


  21 in total

1.  The identification and characteristics of salinity-related microRNAs in gills of Portunus trituberculatus.

Authors:  Jianjian Lv; Ping Liu; Baoquan Gao; Jian Li
Journal:  Cell Stress Chaperones       Date:  2015-09-15       Impact factor: 3.667

2.  Mitochondrial TCA cycle intermediates regulate body fluid and acid-base balance.

Authors:  János Peti-Peterdi
Journal:  J Clin Invest       Date:  2013-06-24       Impact factor: 14.808

3.  DEGseq: an R package for identifying differentially expressed genes from RNA-seq data.

Authors:  Likun Wang; Zhixing Feng; Xi Wang; Xiaowo Wang; Xuegong Zhang
Journal:  Bioinformatics       Date:  2009-10-24       Impact factor: 6.937

4.  Organic acid metabolism in plants: from adaptive physiology to transgenic varieties for cultivation in extreme soils.

Authors:  J López-Bucio; M F. Nieto-Jacobo; L Herrera-Estrella
Journal:  Plant Sci       Date:  2000-12-07       Impact factor: 4.729

5.  The microRNA signature in response to nutrient restriction and refeeding in skeletal muscle of Chinese perch (Siniperca chuatsi).

Authors:  Xin Zhu; Dunxue Chen; Yi Hu; Ping Wu; Kaizuo Wang; Junzhi Zhang; Wuying Chu; Jianshe Zhang
Journal:  Mar Biotechnol (NY)       Date:  2014-11-18       Impact factor: 3.619

6.  Detrimental effect of CO2-driven seawater acidification on a crustacean brine shrimp, Artemia sinica.

Authors:  Chao-qun Zheng; Joseph Jeswin; Kai-li Shen; Meghan Lablche; Ke-jian Wang; Hai-peng Liu
Journal:  Fish Shellfish Immunol       Date:  2014-12-30       Impact factor: 4.581

7.  Effects of nitrite exposure on acid-base balance, respiratory protein, and ion concentrations of giant freshwater prawn Macrobrachium rosenbergii at low pH.

Authors:  J C Chen; Y Lee
Journal:  Arch Environ Contam Toxicol       Date:  1997-10       Impact factor: 2.804

8.  miRNA-dependent cross-talk between VEGF and Ang-2 in hypoxia-induced microvascular dysfunction.

Authors:  Ruibin Zhao; Lijuan Qian; Li Jiang
Journal:  Biochem Biophys Res Commun       Date:  2014-08-27       Impact factor: 3.575

9.  Identification and comparative analysis of the oriental river prawn (Macrobrachium nipponense) microRNA expression profile during hypoxia using a deep sequencing approach.

Authors:  Shengming Sun; Hongtuo Fu; Xianping Ge; Jian Zhu; Zhimin Gu; Fujun Xuan
Journal:  Comp Biochem Physiol Part D Genomics Proteomics       Date:  2016-01-13       Impact factor: 2.674

10.  The effect of exposure to a high-fat diet on microRNA expression in the liver of blunt snout bream (Megalobrama amblycephala).

Authors:  Dingdong Zhang; Kangle Lu; Zaijie Dong; Guangzhen Jiang; Weina Xu; Wenbin Liu
Journal:  PLoS One       Date:  2014-05-02       Impact factor: 3.240

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