Short tandem target mimic rice lines uncover functions of miRNAs in regulating important agronomic traits
Improvements in plant agricultural productivity are urgently needed to reduce the dependency on limited natural resources and produce enough food for a growing world population. Human intervention over thousands of years has improved the yield of important crops; however, it is increasingly difficul...
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Veröffentlicht in: | Proceedings of the National Academy of Sciences - PNAS 2017-05, Vol.114 (20), p.5277-5282 |
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creator | Zhang, Hui Zhang, Jinshan Yan, Jun Gou, Feng Mao, Yanfei Tang, Guiliang Botella, José Ramón Zhu, Jian-Kang |
description | Improvements in plant agricultural productivity are urgently needed to reduce the dependency on limited natural resources and produce enough food for a growing world population. Human intervention over thousands of years has improved the yield of important crops; however, it is increasingly difficult to find new targets for genetic improvement. MicroRNAs (miRNAs) are promising targets for crop improvement, but their inactivation is technically challenging and has hampered functional analyses. We have produced a large collection of transgenic short tandem target mimic (STTM) lines silencing 35 miRNA families in rice as a resource for functional studies and crop improvement. Visual assessment of field-grown miRNA-silenced lines uncovered alterations in many valuable agronomic traits, including plant height, tiller number, and grain number, that remained stable for up to five generations. We show that manipulation of miR398 can increase panicle length, grain number, and grain size in rice. In addition, we discovered additional agronomic functions for several known miRNAs, including miR172 and miR156. Our collection of STTM lines thus represents a valuable resource for functional analysis of rice miRNAs, as well as for agronomic improvement that can be readily transferred to other important food crops. |
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Human intervention over thousands of years has improved the yield of important crops; however, it is increasingly difficult to find new targets for genetic improvement. MicroRNAs (miRNAs) are promising targets for crop improvement, but their inactivation is technically challenging and has hampered functional analyses. We have produced a large collection of transgenic short tandem target mimic (STTM) lines silencing 35 miRNA families in rice as a resource for functional studies and crop improvement. Visual assessment of field-grown miRNA-silenced lines uncovered alterations in many valuable agronomic traits, including plant height, tiller number, and grain number, that remained stable for up to five generations. We show that manipulation of miR398 can increase panicle length, grain number, and grain size in rice. In addition, we discovered additional agronomic functions for several known miRNAs, including miR172 and miR156. Our collection of STTM lines thus represents a valuable resource for functional analysis of rice miRNAs, as well as for agronomic improvement that can be readily transferred to other important food crops.</description><identifier>ISSN: 0027-8424</identifier><identifier>EISSN: 1091-6490</identifier><identifier>DOI: 10.1073/pnas.1703752114</identifier><identifier>PMID: 28461499</identifier><language>eng</language><publisher>United States: National Academy of Sciences</publisher><subject>Agricultural production ; Agriculture - methods ; Agronomy ; Biological Sciences ; Collection ; Crop improvement ; Crops ; Crops, Agricultural - genetics ; Deactivation ; Food ; Functional analysis ; Functional anatomy ; Gene Expression Regulation, Plant ; Gene Silencing ; Genes, Plant ; Genetic improvement ; Grain size ; Inactivation ; MicroRNAs - genetics ; miRNA ; Natural resources ; Oryza - genetics ; Oryza - metabolism ; Phenotype ; Plants, Genetically Modified ; Productivity ; Ribonucleic acid ; Rice ; RNA ; Transgenic plants ; Visual fields ; World population</subject><ispartof>Proceedings of the National Academy of Sciences - PNAS, 2017-05, Vol.114 (20), p.5277-5282</ispartof><rights>Volumes 1–89 and 106–114, copyright as a collective work only; author(s) retains copyright to individual articles</rights><rights>Copyright National Academy of Sciences May 16, 2017</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c443t-9c2e8770cbc8ce0102eed9e27edf44118f7fa9e438aeda3274ec3e86541b6ab13</citedby><cites>FETCH-LOGICAL-c443t-9c2e8770cbc8ce0102eed9e27edf44118f7fa9e438aeda3274ec3e86541b6ab13</cites><orcidid>0000-0002-4446-3432 ; 0000-0001-5134-731X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/26483234$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/26483234$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>230,314,727,780,784,803,885,27924,27925,53791,53793,58017,58250</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28461499$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Zhang, Hui</creatorcontrib><creatorcontrib>Zhang, Jinshan</creatorcontrib><creatorcontrib>Yan, Jun</creatorcontrib><creatorcontrib>Gou, Feng</creatorcontrib><creatorcontrib>Mao, Yanfei</creatorcontrib><creatorcontrib>Tang, Guiliang</creatorcontrib><creatorcontrib>Botella, José Ramón</creatorcontrib><creatorcontrib>Zhu, Jian-Kang</creatorcontrib><title>Short tandem target mimic rice lines uncover functions of miRNAs in regulating important agronomic traits</title><title>Proceedings of the National Academy of Sciences - PNAS</title><addtitle>Proc Natl Acad Sci U S A</addtitle><description>Improvements in plant agricultural productivity are urgently needed to reduce the dependency on limited natural resources and produce enough food for a growing world population. Human intervention over thousands of years has improved the yield of important crops; however, it is increasingly difficult to find new targets for genetic improvement. MicroRNAs (miRNAs) are promising targets for crop improvement, but their inactivation is technically challenging and has hampered functional analyses. We have produced a large collection of transgenic short tandem target mimic (STTM) lines silencing 35 miRNA families in rice as a resource for functional studies and crop improvement. Visual assessment of field-grown miRNA-silenced lines uncovered alterations in many valuable agronomic traits, including plant height, tiller number, and grain number, that remained stable for up to five generations. We show that manipulation of miR398 can increase panicle length, grain number, and grain size in rice. In addition, we discovered additional agronomic functions for several known miRNAs, including miR172 and miR156. Our collection of STTM lines thus represents a valuable resource for functional analysis of rice miRNAs, as well as for agronomic improvement that can be readily transferred to other important food crops.</description><subject>Agricultural production</subject><subject>Agriculture - methods</subject><subject>Agronomy</subject><subject>Biological Sciences</subject><subject>Collection</subject><subject>Crop improvement</subject><subject>Crops</subject><subject>Crops, Agricultural - genetics</subject><subject>Deactivation</subject><subject>Food</subject><subject>Functional analysis</subject><subject>Functional anatomy</subject><subject>Gene Expression Regulation, Plant</subject><subject>Gene Silencing</subject><subject>Genes, Plant</subject><subject>Genetic improvement</subject><subject>Grain size</subject><subject>Inactivation</subject><subject>MicroRNAs - genetics</subject><subject>miRNA</subject><subject>Natural resources</subject><subject>Oryza - genetics</subject><subject>Oryza - metabolism</subject><subject>Phenotype</subject><subject>Plants, Genetically Modified</subject><subject>Productivity</subject><subject>Ribonucleic acid</subject><subject>Rice</subject><subject>RNA</subject><subject>Transgenic plants</subject><subject>Visual fields</subject><subject>World population</subject><issn>0027-8424</issn><issn>1091-6490</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpdkU1LHTEUhkOp1KvtuquWgBs3o_maSbIpiPRDEAutrkNu5syYy0xym2SE_ntzuVbbrk7gPHlyTl6E3lNyRonk59tg8xmVhMuWUSpeoRUlmjad0OQ1WhHCZKMEE4foKOcNIUS3irxBh0yJjgqtV8j_vI-p4GJDD3MtaYSCZz97h5N3gCcfIOMluPgACQ_1UHwMGcehUj9uLjL2AScYl8kWH0bs52312VCwHVMMcScqyfqS36KDwU4Z3j3VY3T35fPt5bfm-vvXq8uL68YJwUujHQMlJXFrpxwQShhAr4FJ6AchKFWDHKwGwZWF3nImBTgOqmsFXXd2Tfkx-rT3bpf1DL2DUN-fzDb52abfJlpv_u0Ef2_G-GDaqpdKVcHpkyDFXwvkYmafHUyTDRCXbKjSov52R1hFT_5DN3FJoa5nqCZtpyTvdtT5nnIp5pxgeB6GErOL0exiNC8x1hsf_97hmf-TWwU-7IFNLjG99DuhOOOCPwLlDKWV</recordid><startdate>20170516</startdate><enddate>20170516</enddate><creator>Zhang, Hui</creator><creator>Zhang, Jinshan</creator><creator>Yan, Jun</creator><creator>Gou, Feng</creator><creator>Mao, Yanfei</creator><creator>Tang, Guiliang</creator><creator>Botella, José Ramón</creator><creator>Zhu, Jian-Kang</creator><general>National Academy of Sciences</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>7QG</scope><scope>7QL</scope><scope>7QP</scope><scope>7QR</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TK</scope><scope>7TM</scope><scope>7TO</scope><scope>7U9</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>H94</scope><scope>M7N</scope><scope>P64</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-4446-3432</orcidid><orcidid>https://orcid.org/0000-0001-5134-731X</orcidid></search><sort><creationdate>20170516</creationdate><title>Short tandem target mimic rice lines uncover functions of miRNAs in regulating important agronomic traits</title><author>Zhang, Hui ; Zhang, Jinshan ; Yan, Jun ; Gou, Feng ; Mao, Yanfei ; Tang, Guiliang ; Botella, José Ramón ; Zhu, Jian-Kang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c443t-9c2e8770cbc8ce0102eed9e27edf44118f7fa9e438aeda3274ec3e86541b6ab13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Agricultural production</topic><topic>Agriculture - methods</topic><topic>Agronomy</topic><topic>Biological Sciences</topic><topic>Collection</topic><topic>Crop improvement</topic><topic>Crops</topic><topic>Crops, Agricultural - genetics</topic><topic>Deactivation</topic><topic>Food</topic><topic>Functional analysis</topic><topic>Functional anatomy</topic><topic>Gene Expression Regulation, Plant</topic><topic>Gene Silencing</topic><topic>Genes, Plant</topic><topic>Genetic improvement</topic><topic>Grain size</topic><topic>Inactivation</topic><topic>MicroRNAs - genetics</topic><topic>miRNA</topic><topic>Natural resources</topic><topic>Oryza - genetics</topic><topic>Oryza - metabolism</topic><topic>Phenotype</topic><topic>Plants, Genetically Modified</topic><topic>Productivity</topic><topic>Ribonucleic acid</topic><topic>Rice</topic><topic>RNA</topic><topic>Transgenic plants</topic><topic>Visual fields</topic><topic>World population</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhang, Hui</creatorcontrib><creatorcontrib>Zhang, Jinshan</creatorcontrib><creatorcontrib>Yan, Jun</creatorcontrib><creatorcontrib>Gou, Feng</creatorcontrib><creatorcontrib>Mao, Yanfei</creatorcontrib><creatorcontrib>Tang, Guiliang</creatorcontrib><creatorcontrib>Botella, José Ramón</creatorcontrib><creatorcontrib>Zhu, Jian-Kang</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Chemoreception Abstracts</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Oncogenes and Growth Factors Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Proceedings of the National Academy of Sciences - PNAS</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhang, Hui</au><au>Zhang, Jinshan</au><au>Yan, Jun</au><au>Gou, Feng</au><au>Mao, Yanfei</au><au>Tang, Guiliang</au><au>Botella, José Ramón</au><au>Zhu, Jian-Kang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Short tandem target mimic rice lines uncover functions of miRNAs in regulating important agronomic traits</atitle><jtitle>Proceedings of the National Academy of Sciences - PNAS</jtitle><addtitle>Proc Natl Acad Sci U S A</addtitle><date>2017-05-16</date><risdate>2017</risdate><volume>114</volume><issue>20</issue><spage>5277</spage><epage>5282</epage><pages>5277-5282</pages><issn>0027-8424</issn><eissn>1091-6490</eissn><abstract>Improvements in plant agricultural productivity are urgently needed to reduce the dependency on limited natural resources and produce enough food for a growing world population. Human intervention over thousands of years has improved the yield of important crops; however, it is increasingly difficult to find new targets for genetic improvement. MicroRNAs (miRNAs) are promising targets for crop improvement, but their inactivation is technically challenging and has hampered functional analyses. We have produced a large collection of transgenic short tandem target mimic (STTM) lines silencing 35 miRNA families in rice as a resource for functional studies and crop improvement. Visual assessment of field-grown miRNA-silenced lines uncovered alterations in many valuable agronomic traits, including plant height, tiller number, and grain number, that remained stable for up to five generations. We show that manipulation of miR398 can increase panicle length, grain number, and grain size in rice. In addition, we discovered additional agronomic functions for several known miRNAs, including miR172 and miR156. Our collection of STTM lines thus represents a valuable resource for functional analysis of rice miRNAs, as well as for agronomic improvement that can be readily transferred to other important food crops.</abstract><cop>United States</cop><pub>National Academy of Sciences</pub><pmid>28461499</pmid><doi>10.1073/pnas.1703752114</doi><tpages>6</tpages><orcidid>https://orcid.org/0000-0002-4446-3432</orcidid><orcidid>https://orcid.org/0000-0001-5134-731X</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Agricultural production Agriculture - methods Agronomy Biological Sciences Collection Crop improvement Crops Crops, Agricultural - genetics Deactivation Food Functional analysis Functional anatomy Gene Expression Regulation, Plant Gene Silencing Genes, Plant Genetic improvement Grain size Inactivation MicroRNAs - genetics miRNA Natural resources Oryza - genetics Oryza - metabolism Phenotype Plants, Genetically Modified Productivity Ribonucleic acid Rice RNA Transgenic plants Visual fields World population |
title | Short tandem target mimic rice lines uncover functions of miRNAs in regulating important agronomic traits |
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