Characterization of microRNAs identified in a table grapevine cultivar with validation of computationally predicted grapevine miRNAs by miR-RACE
Alignment analysis of the Vv-miRNAs identified from various grapevine cultivars indicates that over 30% orthologous Vv-miRNAs exhibit a 1-3 nucleotide discrepancy only at their ends, suggesting that this sequence discrepancy is not a random event, but might mainly derive from divergence of cultivars...
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| creator | Wang, Chen Shangguan, Lingfei Kibet, Korir Nicholas Wang, Xicheng Han, Jian Song, Changnian Fang, Jinggui |
| description | Alignment analysis of the Vv-miRNAs identified from various grapevine cultivars indicates that over 30% orthologous Vv-miRNAs exhibit a 1-3 nucleotide discrepancy only at their ends, suggesting that this sequence discrepancy is not a random event, but might mainly derive from divergence of cultivars. With advantages of miR-RACE technology in determining precise sequences of potential miRNAs from bioinformatics prediction, the precise sequences of vv-miRNAs predicted computationally can be verified with miR-RACE in a different grapevine cultivar. This presents itself as a new approach for large scale discovery of precise miRNAs in different grapevine varieties.
Among 88 unique sequences of Vv-miRNAs from bioinformatics prediction, 83 (96.3%) were successfully validated with MiR-RACE in grapevine cv. 'Summer Black'. All the validated sequences were identical to their corresponding ones obtained from deep sequencing of the small RNA library of 'Summer Black'. Quantitative RT-PCR analysis of the expressions levels of 10 Vv-miRNA/target gene pairs in grapevine tissues showed some negative correlation trends. Finally, comparison of Vv-miRNA sequences with their orthologs in Arabidopsis and study on the influence of divergent bases of the orthologous miRNAs on their targeting patterns in grapevine were also done.
The validation of precise sequences of potential Vv-miRNAs from computational prediction in a different grapevine cultivar can be a new way to identify the orthologous Vv-miRNAs. Nucleotide discrepancy of orthologous Vv-miRNAs from different grapevine cultivars normally does not change their target genes. However, sequence variations of some orthologous miRNAs in grapevine and Arabidopsis can change their targeting patterns. These precise Vv-miRNAs sequences validated in our study could benefit some further study on grapevine functional genomics. |
| doi_str_mv | 10.1371/journal.pone.0021259 |
| format | Article |
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Among 88 unique sequences of Vv-miRNAs from bioinformatics prediction, 83 (96.3%) were successfully validated with MiR-RACE in grapevine cv. 'Summer Black'. All the validated sequences were identical to their corresponding ones obtained from deep sequencing of the small RNA library of 'Summer Black'. Quantitative RT-PCR analysis of the expressions levels of 10 Vv-miRNA/target gene pairs in grapevine tissues showed some negative correlation trends. Finally, comparison of Vv-miRNA sequences with their orthologs in Arabidopsis and study on the influence of divergent bases of the orthologous miRNAs on their targeting patterns in grapevine were also done.
The validation of precise sequences of potential Vv-miRNAs from computational prediction in a different grapevine cultivar can be a new way to identify the orthologous Vv-miRNAs. Nucleotide discrepancy of orthologous Vv-miRNAs from different grapevine cultivars normally does not change their target genes. However, sequence variations of some orthologous miRNAs in grapevine and Arabidopsis can change their targeting patterns. These precise Vv-miRNAs sequences validated in our study could benefit some further study on grapevine functional genomics.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0021259</identifier><identifier>PMID: 21829435</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Acids ; Adenosine ; Agriculture ; Arabidopsis thaliana ; Base Sequence ; Bioinformatics ; Biology ; Cloning ; Computational Biology ; Computer applications ; Cultivars ; Divergence ; Enzymes ; Fruits ; Gene expression ; Gene Library ; Gene sequencing ; Genes ; Genomes ; Genomics ; Grapes ; Horticulture ; Identification ; Malus domestica ; MicroRNA ; MicroRNAs ; MicroRNAs - genetics ; miRNA ; Molecular biology ; Molecular Sequence Data ; Neurosciences ; Oryza sativa ; Polymerase chain reaction ; Predictions ; Race ; Reverse Transcriptase Polymerase Chain Reaction ; Ribonucleic acid ; RNA ; RNA polymerase ; RNA, Plant - genetics ; Sequence Analysis, RNA ; Software ; Studies ; Summer ; Tissues ; Vitis - classification ; Vitis - genetics ; Vitis vinifera ; Wine</subject><ispartof>PloS one, 2011-07, Vol.6 (7), p.e21259-e21259</ispartof><rights>COPYRIGHT 2011 Public Library of Science</rights><rights>2011 Wang et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: https://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Wang et al. 2011</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c691t-c60a6fcf1c1d16789e56113fe32a3f03e818e673a105ee483cc2dcb8d3c594213</citedby><cites>FETCH-LOGICAL-c691t-c60a6fcf1c1d16789e56113fe32a3f03e818e673a105ee483cc2dcb8d3c594213</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3145640/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3145640/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23845,27901,27902,53766,53768,79343,79344</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/21829435$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>de Windt, Leon J.</contributor><creatorcontrib>Wang, Chen</creatorcontrib><creatorcontrib>Shangguan, Lingfei</creatorcontrib><creatorcontrib>Kibet, Korir Nicholas</creatorcontrib><creatorcontrib>Wang, Xicheng</creatorcontrib><creatorcontrib>Han, Jian</creatorcontrib><creatorcontrib>Song, Changnian</creatorcontrib><creatorcontrib>Fang, Jinggui</creatorcontrib><title>Characterization of microRNAs identified in a table grapevine cultivar with validation of computationally predicted grapevine miRNAs by miR-RACE</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Alignment analysis of the Vv-miRNAs identified from various grapevine cultivars indicates that over 30% orthologous Vv-miRNAs exhibit a 1-3 nucleotide discrepancy only at their ends, suggesting that this sequence discrepancy is not a random event, but might mainly derive from divergence of cultivars. With advantages of miR-RACE technology in determining precise sequences of potential miRNAs from bioinformatics prediction, the precise sequences of vv-miRNAs predicted computationally can be verified with miR-RACE in a different grapevine cultivar. This presents itself as a new approach for large scale discovery of precise miRNAs in different grapevine varieties.
Among 88 unique sequences of Vv-miRNAs from bioinformatics prediction, 83 (96.3%) were successfully validated with MiR-RACE in grapevine cv. 'Summer Black'. All the validated sequences were identical to their corresponding ones obtained from deep sequencing of the small RNA library of 'Summer Black'. Quantitative RT-PCR analysis of the expressions levels of 10 Vv-miRNA/target gene pairs in grapevine tissues showed some negative correlation trends. Finally, comparison of Vv-miRNA sequences with their orthologs in Arabidopsis and study on the influence of divergent bases of the orthologous miRNAs on their targeting patterns in grapevine were also done.
The validation of precise sequences of potential Vv-miRNAs from computational prediction in a different grapevine cultivar can be a new way to identify the orthologous Vv-miRNAs. Nucleotide discrepancy of orthologous Vv-miRNAs from different grapevine cultivars normally does not change their target genes. However, sequence variations of some orthologous miRNAs in grapevine and Arabidopsis can change their targeting patterns. These precise Vv-miRNAs sequences validated in our study could benefit some further study on grapevine functional genomics.</description><subject>Acids</subject><subject>Adenosine</subject><subject>Agriculture</subject><subject>Arabidopsis thaliana</subject><subject>Base Sequence</subject><subject>Bioinformatics</subject><subject>Biology</subject><subject>Cloning</subject><subject>Computational Biology</subject><subject>Computer applications</subject><subject>Cultivars</subject><subject>Divergence</subject><subject>Enzymes</subject><subject>Fruits</subject><subject>Gene expression</subject><subject>Gene Library</subject><subject>Gene sequencing</subject><subject>Genes</subject><subject>Genomes</subject><subject>Genomics</subject><subject>Grapes</subject><subject>Horticulture</subject><subject>Identification</subject><subject>Malus domestica</subject><subject>MicroRNA</subject><subject>MicroRNAs</subject><subject>MicroRNAs - genetics</subject><subject>miRNA</subject><subject>Molecular biology</subject><subject>Molecular Sequence Data</subject><subject>Neurosciences</subject><subject>Oryza sativa</subject><subject>Polymerase chain reaction</subject><subject>Predictions</subject><subject>Race</subject><subject>Reverse Transcriptase Polymerase Chain Reaction</subject><subject>Ribonucleic acid</subject><subject>RNA</subject><subject>RNA polymerase</subject><subject>RNA, Plant - genetics</subject><subject>Sequence Analysis, RNA</subject><subject>Software</subject><subject>Studies</subject><subject>Summer</subject><subject>Tissues</subject><subject>Vitis - classification</subject><subject>Vitis - genetics</subject><subject>Vitis vinifera</subject><subject>Wine</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><sourceid>DOA</sourceid><recordid>eNqNk92O0zAQhSMEYpfCGyCIhATiosWOEye5QaqqBSqtWKn83FpTe9J65cbBdgrlKXhk3J-tWrQXKFLiON85k5zMJMlzSkaUlfTdre1dC2bU2RZHhGQ0K-oHySWtWTbkGWEPT9YXyRPvbwkpWMX54-Qio1VW56y4TP5MluBABnT6NwRt29Q26UpLZ2efxz7VCtugG40q1W0KaYC5wXThoMO1bjGVvQl6DS79qcMyXYPR6ugi7arrw-4WjNmknUOlYyV1ol_pXZn5ZrsazsaTq6fJowaMx2eH6yD59uHq6-TT8Prm43Qyvh5KXtMQzwR4IxsqqaK8rGosOKWsQZYBawjDilbISwaUFIh5xaTMlJxXismizjPKBsnLvW9nrBeHML2gjHDGCYnpDJLpnlAWbkXn9ArcRljQYrdh3UKAC1oaFLRsZE6bWhVlmRPIKpoxjiQvlKxrUFn0en-o1s9XqGRM1YE5Mz1_0uqlWNi1YDQveE6iwZuDgbM_evRBrLSXaAy0aHsvqooRUrG6iuSrf8j7P-5ALSC-v24bG8vKracY5yWPdmVZR2p0DxUPhbFHYuM1Ou6fCd6eCSIT8FdYQO-9mH6Z_T978_2cfX3CLhFMWHpr-m1z-XMw34Oxg7132BwzpkRs5-YuDbGdG3GYmyh7cfp_jqK7QWF_AUMJFGI</recordid><startdate>20110728</startdate><enddate>20110728</enddate><creator>Wang, Chen</creator><creator>Shangguan, Lingfei</creator><creator>Kibet, Korir Nicholas</creator><creator>Wang, Xicheng</creator><creator>Han, Jian</creator><creator>Song, Changnian</creator><creator>Fang, Jinggui</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20110728</creationdate><title>Characterization of microRNAs identified in a table grapevine cultivar with validation of computationally predicted grapevine miRNAs by miR-RACE</title><author>Wang, Chen ; Shangguan, Lingfei ; Kibet, Korir Nicholas ; Wang, Xicheng ; Han, Jian ; Song, Changnian ; Fang, Jinggui</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c691t-c60a6fcf1c1d16789e56113fe32a3f03e818e673a105ee483cc2dcb8d3c594213</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Acids</topic><topic>Adenosine</topic><topic>Agriculture</topic><topic>Arabidopsis thaliana</topic><topic>Base Sequence</topic><topic>Bioinformatics</topic><topic>Biology</topic><topic>Cloning</topic><topic>Computational Biology</topic><topic>Computer applications</topic><topic>Cultivars</topic><topic>Divergence</topic><topic>Enzymes</topic><topic>Fruits</topic><topic>Gene expression</topic><topic>Gene Library</topic><topic>Gene sequencing</topic><topic>Genes</topic><topic>Genomes</topic><topic>Genomics</topic><topic>Grapes</topic><topic>Horticulture</topic><topic>Identification</topic><topic>Malus domestica</topic><topic>MicroRNA</topic><topic>MicroRNAs</topic><topic>MicroRNAs - genetics</topic><topic>miRNA</topic><topic>Molecular biology</topic><topic>Molecular Sequence Data</topic><topic>Neurosciences</topic><topic>Oryza sativa</topic><topic>Polymerase chain reaction</topic><topic>Predictions</topic><topic>Race</topic><topic>Reverse Transcriptase Polymerase Chain Reaction</topic><topic>Ribonucleic acid</topic><topic>RNA</topic><topic>RNA polymerase</topic><topic>RNA, Plant - genetics</topic><topic>Sequence Analysis, RNA</topic><topic>Software</topic><topic>Studies</topic><topic>Summer</topic><topic>Tissues</topic><topic>Vitis - classification</topic><topic>Vitis - genetics</topic><topic>Vitis vinifera</topic><topic>Wine</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wang, Chen</creatorcontrib><creatorcontrib>Shangguan, Lingfei</creatorcontrib><creatorcontrib>Kibet, Korir Nicholas</creatorcontrib><creatorcontrib>Wang, Xicheng</creatorcontrib><creatorcontrib>Han, Jian</creatorcontrib><creatorcontrib>Song, Changnian</creatorcontrib><creatorcontrib>Fang, Jinggui</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wang, Chen</au><au>Shangguan, Lingfei</au><au>Kibet, Korir Nicholas</au><au>Wang, Xicheng</au><au>Han, Jian</au><au>Song, Changnian</au><au>Fang, Jinggui</au><au>de Windt, Leon J.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Characterization of microRNAs identified in a table grapevine cultivar with validation of computationally predicted grapevine miRNAs by miR-RACE</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2011-07-28</date><risdate>2011</risdate><volume>6</volume><issue>7</issue><spage>e21259</spage><epage>e21259</epage><pages>e21259-e21259</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Alignment analysis of the Vv-miRNAs identified from various grapevine cultivars indicates that over 30% orthologous Vv-miRNAs exhibit a 1-3 nucleotide discrepancy only at their ends, suggesting that this sequence discrepancy is not a random event, but might mainly derive from divergence of cultivars. With advantages of miR-RACE technology in determining precise sequences of potential miRNAs from bioinformatics prediction, the precise sequences of vv-miRNAs predicted computationally can be verified with miR-RACE in a different grapevine cultivar. This presents itself as a new approach for large scale discovery of precise miRNAs in different grapevine varieties.
Among 88 unique sequences of Vv-miRNAs from bioinformatics prediction, 83 (96.3%) were successfully validated with MiR-RACE in grapevine cv. 'Summer Black'. All the validated sequences were identical to their corresponding ones obtained from deep sequencing of the small RNA library of 'Summer Black'. Quantitative RT-PCR analysis of the expressions levels of 10 Vv-miRNA/target gene pairs in grapevine tissues showed some negative correlation trends. Finally, comparison of Vv-miRNA sequences with their orthologs in Arabidopsis and study on the influence of divergent bases of the orthologous miRNAs on their targeting patterns in grapevine were also done.
The validation of precise sequences of potential Vv-miRNAs from computational prediction in a different grapevine cultivar can be a new way to identify the orthologous Vv-miRNAs. Nucleotide discrepancy of orthologous Vv-miRNAs from different grapevine cultivars normally does not change their target genes. However, sequence variations of some orthologous miRNAs in grapevine and Arabidopsis can change their targeting patterns. These precise Vv-miRNAs sequences validated in our study could benefit some further study on grapevine functional genomics.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>21829435</pmid><doi>10.1371/journal.pone.0021259</doi><tpages>e21259</tpages><oa>free_for_read</oa></addata></record> |
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| source | MEDLINE; DOAJ Directory of Open Access Journals; EZB-FREE-00999 freely available EZB journals; PubMed Central; Free Full-Text Journals in Chemistry; Public Library of Science (PLoS) |
| subjects | Acids Adenosine Agriculture Arabidopsis thaliana Base Sequence Bioinformatics Biology Cloning Computational Biology Computer applications Cultivars Divergence Enzymes Fruits Gene expression Gene Library Gene sequencing Genes Genomes Genomics Grapes Horticulture Identification Malus domestica MicroRNA MicroRNAs MicroRNAs - genetics miRNA Molecular biology Molecular Sequence Data Neurosciences Oryza sativa Polymerase chain reaction Predictions Race Reverse Transcriptase Polymerase Chain Reaction Ribonucleic acid RNA RNA polymerase RNA, Plant - genetics Sequence Analysis, RNA Software Studies Summer Tissues Vitis - classification Vitis - genetics Vitis vinifera Wine |
| title | Characterization of microRNAs identified in a table grapevine cultivar with validation of computationally predicted grapevine miRNAs by miR-RACE |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-31T21%3A12%3A21IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Characterization%20of%20microRNAs%20identified%20in%20a%20table%20grapevine%20cultivar%20with%20validation%20of%20computationally%20predicted%20grapevine%20miRNAs%20by%20miR-RACE&rft.jtitle=PloS%20one&rft.au=Wang,%20Chen&rft.date=2011-07-28&rft.volume=6&rft.issue=7&rft.spage=e21259&rft.epage=e21259&rft.pages=e21259-e21259&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0021259&rft_dat=%3Cgale_plos_%3EA476883779%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1306360094&rft_id=info:pmid/21829435&rft_galeid=A476883779&rft_doaj_id=oai_doaj_org_article_17fc41f9d57740a281236e045dc99ad2&rfr_iscdi=true |