Identification and characterization of novel and conserved microRNAs in several tissues of the Chinese rare minnow (Gobiocypris rarus) based on illumina deep sequencing technology

doi:10.1186/s12864-016-2606-5

CORC > 生态环境研究中心 > 中国科学院生态环境研究中心 > 中国科学院饮用水科学与技术重点实验室

	Identification and characterization of novel and conserved microRNAs in several tissues of the Chinese rare minnow (Gobiocypris rarus) based on illumina deep sequencing technology
	Hong, Xiangsheng; Qin, Jianhui; Chen, Rui; Yuan, Lilai; Zha, Jinmiao; Wang, Zijian
刊名	BMC GENOMICS
	2016-04-12
卷号	17 期号:0 页码:-
关键词	Gobiocypris Rarus Microrna Deep Sequencing Target Prediction Isomirs
DOI	10.1186/s12864-016-2606-5
英文摘要	Background: MicroRNAs (miRNAs), which comprise a large family of endogenous small non-coding RNA molecules, play important roles in the regulation of gene expression in various biological processes. The Chinese rare minnow (Gobiocypris rarus) is a Chinese native fish species and is used extensively as an experimental fish in China; however, relevant biological data, especially miRNA transcriptome data, have not been well documented. To discover conserved and potential novel miRNAs in Chinese rare minnows, a pool of equal amounts of RNA obtained from 6 different adult rare minnow tissues (brain, eye, gill, liver, muscle and heart) was sequenced using illumina deep sequencing technology. Results: In the present study, 26,930,553 raw reads, representing 2,118,439 unique high-quality reads, were obtained from the pooled small RNA library. Using bioinformatics analysis, 352 conserved and 112 novel Chinese rare minnow miRNAs were first discovered and characterized in this study. Moreover, we found extensive sequence variations (isomiRs) in rare minnow miRNAs, including internal miRNA isomiRs and terminal isomiRs at both the 5' and 3' ends and nucleotide variants. Six conserved and 4 novel miRNAs were selected and validated in 6 different adult rare minnow tissues using quantitative real-time PCR (qPCR). The results showed that miR-30a, miR-30b, and Novel-37 are ubiquitously expressed in a variety of tissues. miR-16a, miR-9, miR-125b, miR-34a, and Novel-69 were predominantly expressed in the brain. Novel-115 and Novel-7 were highly expressed in gills, but were relatively weakly expressed in other tissues. These results provided the expression patterns of miRNA genes in Chinese rare minnow. Finally, based on bioinformatics predictions, we mainly found that Novel-94 and Novel-1b-5p were simultaneously targeted to the 3' UTR of Dmrt1, which controls sex determination and/or sexual differentiation in a variety of metazoans at different sites. Novel-29b targeted the 3' UTR of Foxl2, which is involved in the maintenance of ovarian function and the transcriptional regulation of gonadal differentiation-related genes. Novel-62 and Novel-53 targeted the 3' UTR of ERbeta1 and ERbeta2 (which regulate the transcription of target genes), respectively. Conclusions: Rare minnow is a widely used model for assessing the risk of environmental pollution in China. Identifying and characterizing rare minnow miRNA genes is necessary to discover the biological function of miRNAs and to screen for new molecule biomarkers to assess the risk of environmental pollution in the future.
内容类型	期刊论文
源URL	[http://ir.rcees.ac.cn/handle/311016/36189]
专题	生态环境研究中心_中国科学院饮用水科学与技术重点实验室
推荐引用方式 GB/T 7714	Hong, Xiangsheng,Qin, Jianhui,Chen, Rui,et al. Identification and characterization of novel and conserved microRNAs in several tissues of the Chinese rare minnow (Gobiocypris rarus) based on illumina deep sequencing technology[J]. BMC GENOMICS,2016,17(0):-.
APA	Hong, Xiangsheng,Qin, Jianhui,Chen, Rui,Yuan, Lilai,Zha, Jinmiao,&Wang, Zijian.(2016).Identification and characterization of novel and conserved microRNAs in several tissues of the Chinese rare minnow (Gobiocypris rarus) based on illumina deep sequencing technology.BMC GENOMICS,17(0),-.
MLA	Hong, Xiangsheng,et al."Identification and characterization of novel and conserved microRNAs in several tissues of the Chinese rare minnow (Gobiocypris rarus) based on illumina deep sequencing technology".BMC GENOMICS 17.0(2016):-.