Dataset Information

Identification of microRNAs from Amur grape (Vitis amurensis Rupr.) by deep sequencing and analysis of microRNA variations with bioinformatics.

ABSTRACT: BACKGROUND: MicroRNA (miRNA) is a class of functional non-coding small RNA with 19-25 nucleotides in length while Amur grape (Vitis amurensis Rupr.) is an important wild fruit crop with the strongest cold resistance among the Vitis species, is used as an excellent breeding parent for grapevine, and has elicited growing interest in wine production. To date, there is a relatively large number of grapevine miRNAs (vv-miRNAs) from cultivated grapevine varieties such as Vitis vinifera L. and hybrids of V. vinifera and V. labrusca, but there is no report on miRNAs from Vitis amurensis Rupr, a wild grapevine species. RESULTS: A small RNA library from Amur grape was constructed and Solexa technology used to perform deep sequencing of the library followed by subsequent bioinformatics analysis to identify new miRNAs. In total, 126 conserved miRNAs belonging to 27 miRNA families were identified, and 34 known but non-conserved miRNAs were also found. Significantly, 72 new potential Amur grape-specific miRNAs were discovered. The sequences of these new potential va-miRNAs were further validated through miR-RACE, and accumulation of 18 new va-miRNAs in seven tissues of grapevines confirmed by real time RT-PCR (qRT-PCR) analysis. The expression levels of va-miRNAs in flowers and berries were found to be basically consistent in identity to those from deep sequenced sRNAs libraries of combined corresponding tissues. We also describe the conservation and variation of va-miRNAs using miR-SNPs and miR-LDs during plant evolution based on comparison of orthologous sequences, and further reveal that the number and sites of miR-SNP in diverse miRNA families exhibit distinct divergence. Finally, 346 target genes for the new miRNAs were predicted and they include a number of Amur grape stress tolerance genes and many genes regulating anthocyanin synthesis and sugar metabolism. CONCLUSIONS: Deep sequencing of short RNAs from Amur grape flowers and berries identified 72 new potential miRNAs and 34 known but non-conserved miRNAs, indicating that specific miRNAs exist in Amur grape. These results show that a number of regulatory miRNAs exist in Amur grape and play an important role in Amur grape growth, development, and response to abiotic or biotic stress.

SUBMITTER: Wang C

PROVIDER: S-EPMC3353164 | biostudies-literature | 2012

REPOSITORIES: biostudies-literature

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Identification of microRNAs from Amur grape (Vitis amurensis Rupr.) by deep sequencing and analysis of microRNA variations with bioinformatics.

Wang Chen C Han Jian J Liu Chonghuai C Kibet Korir Nicholas KN Kayesh Emrul E Shangguan Lingfei L Li Xiaoying X Fang Jinggui J

BMC genomics 20120329

<h4>Background</h4>MicroRNA (miRNA) is a class of functional non-coding small RNA with 19-25 nucleotides in length while Amur grape (Vitis amurensis Rupr.) is an important wild fruit crop with the strongest cold resistance among the Vitis species, is used as an excellent breeding parent for grapevine, and has elicited growing interest in wine production. To date, there is a relatively large number of grapevine miRNAs (vv-miRNAs) from cultivated grapevine varieties such as Vitis vinifera L. and h ...[more]

PMID: 22455456

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Project description:Many grape endophytic microorganisms exhibit high potential for suppressing the development of grape diseases and stimulating grapevine growth and fitness, as well as beneficial properties of the crop. The microbiome of wild grapevines is a promising source of biocontrol agents, which can be beneficial for domesticated grapevines. Using next-generation sequencing (NGS) and classical microbiology techniques, we performed an analysis of bacterial and fungal endophytic communities of wild grapevines Vitis amurensis Rupr. and Vitis coignetiae Pulliat growing in the Russian Far East. According to the NGS analysis, 24 and 18 bacterial taxa from the class level were present in V. amurensis and V. coignetiae grapevines, respectively. Gammaproteobacteria (35%) was the predominant class of endophytic bacteria in V. amurensis and Alphaproteobacteria (46%) in V. coignetiae. Three taxa, namely Sphingomonas, Methylobacterium, and Hymenobacter, were the most common bacterial genera for V. amurensis and V. coignetiae. Metagenomic analysis showed the presence of 23 and 22 fungi and fungus-like taxa of class level in V. amurensis and V. coignetiae, respectively. The predominant fungal classes were Dothideomycetes (61-65%) and Tremellomycetes (10-11%), while Cladosporium and Aureobasidium were the most common fungal genera in V. amurensis and V. coignetiae, respectively. A comparative analysis of the endophytic communities of V. amurensis and V. coignetiae with the previously reported endophytic communities of V. vinifera revealed that the bacterial biodiversity of V. amurensis and V. coignetiae was similar in alpha diversity to V. vinifera's bacterial biodiversity. The fungal alpha diversity of V. amurensis and V. coignetiae was statistically different from that of V. vinifera. The beta diversity analysis of bacterial and fungal endophytes showed that samples of V. vinifera formed separate clusters, while V. amurensis samples formed a separate cluster including V. coignetiae samples. The data revealed that the endophytic community of bacteria and fungi from wild V. amurensis was richer than that from V. coignetiae grapes and cultivated V. vinifera grapes. Therefore, the data obtained in this work could be of high value in the search for potentially useful microorganisms for viticulture.

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Dataset Information

Identification of microRNAs from Amur grape (Vitis amurensis Rupr.) by deep sequencing and analysis of microRNA variations with bioinformatics.

Publications

Identification of microRNAs from Amur grape (Vitis amurensis Rupr.) by deep sequencing and analysis of microRNA variations with bioinformatics.

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