Literature DB >> 24657600

Characterization of conserved microRNAs from five different cucurbit species using computational and experimental analysis.

Jihong Hu1, Lulu Sun1, Zhixuan Zhu1, Yuan Zheng1, Wei Xiong1, Yi Ding2.   

Abstract

MicroRNAs (miRNAs) are ∼21 nt non-coding small RNAs which regulate gene expression at the post-transcriptional level in plants and animals. Until recently, only limited numbers of miRNAs were identified in Cucurbitaceae, a large flowering plant family. In this study, 220 potential miRNA candidates were identified from five species of Cucurbitaceae family using a comparative genome-based computational analysis. A comprehensive bioinformatic analysis of EST (expressed sequence tag) and GSS (genomic survey sequence) data of five cucurbit species showed that at least 41, 108, 21, 17 and 33 miRNAs existed in Cucumis sativus, Cucumis melo, Citrullus lanatus, Siraitia grosvenorii and Cucurbita pepo, respectively. Quantitative real-time PCR (qRT-PCR) analysis revealed the differentially expression levels of miRNAs in the four tissues of cucumber and melon. These identified miRNAs in the five species potentially targeted 578 protein-coding genes and one target of the C. melo miRNA cme-miR160a-5p was verified by 5' RLM-RACE. GO and KEGG analysis suggested that many melon miRNAs might involve in nucleotide metabolism, oxidative phosphorylation, cell redox homeostasis and signal transduction.
Copyright © 2014 Elsevier Masson SAS. All rights reserved.

Entities:  

Keywords:  Comparative genomics; Cucurbitaceae; Gene ontology; miRNA; miRNA targets; qRT-PCR

Mesh:

Substances:

Year:  2014        PMID: 24657600     DOI: 10.1016/j.biochi.2014.03.002

Source DB:  PubMed          Journal:  Biochimie        ISSN: 0300-9084            Impact factor:   4.079


  8 in total

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Journal:  Plant Signal Behav       Date:  2014

2.  Genome wide identification, characterization and validation of novel miRNA-based SSR markers in pomegranate (Punica granatum L.).

Authors:  Prakash G Patil; N V Singh; Shilpa Parashuram; Abhishek Bohra; Dhanajay M Mundewadikar; Vipul R Sangnure; K Dhinesh Babu; Jyotsana Sharma
Journal:  Physiol Mol Biol Plants       Date:  2020-03-03

3.  Bioinformatic identification and expression analysis of Nelumbo nucifera microRNA and their targets.

Authors:  Lei Pan; Xiaolei Wang; Jing Jin; Xiaolu Yu; Jihong Hu
Journal:  Appl Plant Sci       Date:  2015-09-16       Impact factor: 1.936

4.  High Throughput Sequencing of Small RNAs in the Two Cucurbita Germplasm with Different Sodium Accumulation Patterns Identifies Novel MicroRNAs Involved in Salt Stress Response.

Authors:  Junjun Xie; Bo Lei; Mengliang Niu; Yuan Huang; Qiusheng Kong; Zhilong Bie
Journal:  PLoS One       Date:  2015-05-26       Impact factor: 3.240

5.  Identification of Appropriate Reference Genes for Normalization of miRNA Expression in Grafted Watermelon Plants under Different Nutrient Stresses.

Authors:  Weifang Wu; Qin Deng; Pibiao Shi; Jinghua Yang; Zhongyuan Hu; Mingfang Zhang
Journal:  PLoS One       Date:  2016-10-17       Impact factor: 3.240

6.  Small RNA Profiles of the Rice PTGMS Line Wuxiang S Reveal miRNAs Involved in Fertility Transition.

Authors:  Hongyuan Zhang; Jihong Hu; Qian Qian; Hao Chen; Jing Jin; Yi Ding
Journal:  Front Plant Sci       Date:  2016-04-20       Impact factor: 5.753

7.  Small RNA and degradome profiling reveals miRNA regulation in the seed germination of ancient eudicot Nelumbo nucifera.

Authors:  Jihong Hu; Jing Jin; Qian Qian; Keke Huang; Yi Ding
Journal:  BMC Genomics       Date:  2016-08-26       Impact factor: 3.969

8.  Genome-wide identification and comprehensive analysis of microRNAs and phased small interfering RNAs in watermelon.

Authors:  Li Liu; Shuchao Ren; Junqiang Guo; Qingyi Wang; Xiaotuo Zhang; Peiran Liao; Shipeng Li; Ramanjulu Sunkar; Yun Zheng
Journal:  BMC Genomics       Date:  2018-05-09       Impact factor: 3.969

  8 in total

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