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Establishment of a rice transgene flow model for predicting maximum distances of gene flow in southern China
We aimed to establish a rice gene flow model based on (i) the Gaussian plume model, (ii) data from a three-location x 3-yr field experiment on transgene flow to common rice cultivars (Oryza sativa), male sterile (ms) lines (O. sativa) and common wild rice (Oryza rufipogon), and (iii) 32-yr historica...
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Published in: | The New phytologist 2008-10, Vol.180 (1), p.217-228 |
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creator | Yao, Kemin Hu, Ning Chen, Wanlong Li, Renzhong Yuan, Qianhua Wang, Feng Qian, Qian Jia, Shirong |
description | We aimed to establish a rice gene flow model based on (i) the Gaussian plume model, (ii) data from a three-location x 3-yr field experiment on transgene flow to common rice cultivars (Oryza sativa), male sterile (ms) lines (O. sativa) and common wild rice (Oryza rufipogon), and (iii) 32-yr historical meteorological data collected from 38 meteorological stations in southern China during the rice flowering period. The concept of the gene flow coefficient (GFC) is proposed; that is, the ratio of the transgene flow frequency (G%) obtained from field experiments to the aggregated pollen dispersal frequency (P%) calculated based on the pollen dispersal model. The maximum distances of gene flow (MDGF) to traditional rice cultivars, ms lines, and common wild rice at a threshold value of either 1.0 or 0.1% were determined. The MDGF and its spatial distribution in southern China show that the gene flow pattern is significantly affected by the monsoon climate, the topography, and the outcrossing ability of recipients. We believe that the information provided in this study will be useful for the risk assessment of transgenic rice in other rice-growing regions. |
doi_str_mv | 10.1111/j.1469-8137.2008.02555.x |
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The concept of the gene flow coefficient (GFC) is proposed; that is, the ratio of the transgene flow frequency (G%) obtained from field experiments to the aggregated pollen dispersal frequency (P%) calculated based on the pollen dispersal model. The maximum distances of gene flow (MDGF) to traditional rice cultivars, ms lines, and common wild rice at a threshold value of either 1.0 or 0.1% were determined. The MDGF and its spatial distribution in southern China show that the gene flow pattern is significantly affected by the monsoon climate, the topography, and the outcrossing ability of recipients. We believe that the information provided in this study will be useful for the risk assessment of transgenic rice in other rice-growing regions.</description><identifier>ISSN: 0028-646X</identifier><identifier>EISSN: 1469-8137</identifier><identifier>DOI: 10.1111/j.1469-8137.2008.02555.x</identifier><identifier>PMID: 18643943</identifier><language>eng</language><publisher>Oxford, UK: Oxford, UK : Blackwell Publishing Ltd</publisher><subject>China ; common wild rice ; cultivated rice ; Field experiments ; Freshwater ; Gene Flow ; gene flow coefficient ; gene flow model ; Grains ; male sterile lines ; Models, Genetic ; Oryza - genetics ; Oryza - physiology ; Oryza rufipogon ; Oryza sativa ; Pollen ; Pollen - physiology ; pollen dispersal model ; Reproduction ; Rice ; Spatial distribution ; Transgenes ; Transgenic plants ; transgenic rice ; Wild rice ; Wind velocity</subject><ispartof>The New phytologist, 2008-10, Vol.180 (1), p.217-228</ispartof><rights>Copyright 2008 New Phytologist Trust</rights><rights>The Authors (2008). Journal compilation © New Phytologist (2008)</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4445-1198c679bb1af2eaa6b3a0307cd2a08cfdc3efe06ec6b196b373043a3660855c3</citedby><cites>FETCH-LOGICAL-c4445-1198c679bb1af2eaa6b3a0307cd2a08cfdc3efe06ec6b196b373043a3660855c3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/25150566$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/25150566$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,58238,58471</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/18643943$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Yao, Kemin</creatorcontrib><creatorcontrib>Hu, Ning</creatorcontrib><creatorcontrib>Chen, Wanlong</creatorcontrib><creatorcontrib>Li, Renzhong</creatorcontrib><creatorcontrib>Yuan, Qianhua</creatorcontrib><creatorcontrib>Wang, Feng</creatorcontrib><creatorcontrib>Qian, Qian</creatorcontrib><creatorcontrib>Jia, Shirong</creatorcontrib><title>Establishment of a rice transgene flow model for predicting maximum distances of gene flow in southern China</title><title>The New phytologist</title><addtitle>New Phytol</addtitle><description>We aimed to establish a rice gene flow model based on (i) the Gaussian plume model, (ii) data from a three-location x 3-yr field experiment on transgene flow to common rice cultivars (Oryza sativa), male sterile (ms) lines (O. sativa) and common wild rice (Oryza rufipogon), and (iii) 32-yr historical meteorological data collected from 38 meteorological stations in southern China during the rice flowering period. The concept of the gene flow coefficient (GFC) is proposed; that is, the ratio of the transgene flow frequency (G%) obtained from field experiments to the aggregated pollen dispersal frequency (P%) calculated based on the pollen dispersal model. The maximum distances of gene flow (MDGF) to traditional rice cultivars, ms lines, and common wild rice at a threshold value of either 1.0 or 0.1% were determined. The MDGF and its spatial distribution in southern China show that the gene flow pattern is significantly affected by the monsoon climate, the topography, and the outcrossing ability of recipients. We believe that the information provided in this study will be useful for the risk assessment of transgenic rice in other rice-growing regions.</description><subject>China</subject><subject>common wild rice</subject><subject>cultivated rice</subject><subject>Field experiments</subject><subject>Freshwater</subject><subject>Gene Flow</subject><subject>gene flow coefficient</subject><subject>gene flow model</subject><subject>Grains</subject><subject>male sterile lines</subject><subject>Models, Genetic</subject><subject>Oryza - genetics</subject><subject>Oryza - physiology</subject><subject>Oryza rufipogon</subject><subject>Oryza sativa</subject><subject>Pollen</subject><subject>Pollen - physiology</subject><subject>pollen dispersal model</subject><subject>Reproduction</subject><subject>Rice</subject><subject>Spatial distribution</subject><subject>Transgenes</subject><subject>Transgenic plants</subject><subject>transgenic rice</subject><subject>Wild rice</subject><subject>Wind velocity</subject><issn>0028-646X</issn><issn>1469-8137</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2008</creationdate><recordtype>article</recordtype><recordid>eNqNkU9v1DAQxS0EokvhIwA-cUsY_01y4IBWhSJVgASVuFmOM9n1KokXO1G3356ErNojzMUjvfd7luYRQhnkbJ73h5xJXWUlE0XOAcocuFIqPz0hmwfhKdkA8DLTUv-6IC9SOgBApTR_Ti5YqaWopNiQ7iqNtu582vc4jDS01NLoHdIx2iHtcEDaduGO9qHBjrYh0mPExrvRDzva25Pvp542fg4ZHKaFf2T8QFOYxj3GgW73frAvybPWdglfnd9Lcvvp6uf2Orv59vnL9uNN5qSUKmOsKp0uqrpmtuVora6FBQGFa7iF0rWNE9giaHS6ZtWsFgKksEJrKJVy4pK8W3OPMfyeMI2m98lh19kBw5SMrlTFlBL_NLKq4MBFORvL1ehiSClia47R9zbeGwZmqcQczHJ5s1zeLJWYv5WY04y-Of8x1T02j-C5g9nwYTXc-Q7v_zvYfP1-vWwz_3rlD2kM8YHniilQWs_621VvbTB2F30ytz84MAFMCSm1EH8AVfeuIw</recordid><startdate>200810</startdate><enddate>200810</enddate><creator>Yao, Kemin</creator><creator>Hu, Ning</creator><creator>Chen, Wanlong</creator><creator>Li, Renzhong</creator><creator>Yuan, Qianhua</creator><creator>Wang, Feng</creator><creator>Qian, Qian</creator><creator>Jia, Shirong</creator><general>Oxford, UK : Blackwell Publishing Ltd</general><general>Blackwell Publishing</general><general>Blackwell Publishing Ltd</general><scope>FBQ</scope><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>7QO</scope><scope>8FD</scope><scope>F1W</scope><scope>FR3</scope><scope>H95</scope><scope>L.G</scope><scope>P64</scope><scope>RC3</scope><scope>7X8</scope></search><sort><creationdate>200810</creationdate><title>Establishment of a rice transgene flow model for predicting maximum distances of gene flow in southern China</title><author>Yao, Kemin ; Hu, Ning ; Chen, Wanlong ; Li, Renzhong ; Yuan, Qianhua ; Wang, Feng ; Qian, Qian ; Jia, Shirong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4445-1198c679bb1af2eaa6b3a0307cd2a08cfdc3efe06ec6b196b373043a3660855c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2008</creationdate><topic>China</topic><topic>common wild rice</topic><topic>cultivated rice</topic><topic>Field experiments</topic><topic>Freshwater</topic><topic>Gene Flow</topic><topic>gene flow coefficient</topic><topic>gene flow model</topic><topic>Grains</topic><topic>male sterile lines</topic><topic>Models, Genetic</topic><topic>Oryza - genetics</topic><topic>Oryza - physiology</topic><topic>Oryza rufipogon</topic><topic>Oryza sativa</topic><topic>Pollen</topic><topic>Pollen - physiology</topic><topic>pollen dispersal model</topic><topic>Reproduction</topic><topic>Rice</topic><topic>Spatial distribution</topic><topic>Transgenes</topic><topic>Transgenic plants</topic><topic>transgenic rice</topic><topic>Wild rice</topic><topic>Wind velocity</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yao, Kemin</creatorcontrib><creatorcontrib>Hu, Ning</creatorcontrib><creatorcontrib>Chen, Wanlong</creatorcontrib><creatorcontrib>Li, Renzhong</creatorcontrib><creatorcontrib>Yuan, Qianhua</creatorcontrib><creatorcontrib>Wang, Feng</creatorcontrib><creatorcontrib>Qian, Qian</creatorcontrib><creatorcontrib>Jia, Shirong</creatorcontrib><collection>AGRIS</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Biotechnology Research Abstracts</collection><collection>Technology Research Database</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 1: Biological Sciences & Living Resources</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>The New phytologist</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yao, Kemin</au><au>Hu, Ning</au><au>Chen, Wanlong</au><au>Li, Renzhong</au><au>Yuan, Qianhua</au><au>Wang, Feng</au><au>Qian, Qian</au><au>Jia, Shirong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Establishment of a rice transgene flow model for predicting maximum distances of gene flow in southern China</atitle><jtitle>The New phytologist</jtitle><addtitle>New Phytol</addtitle><date>2008-10</date><risdate>2008</risdate><volume>180</volume><issue>1</issue><spage>217</spage><epage>228</epage><pages>217-228</pages><issn>0028-646X</issn><eissn>1469-8137</eissn><abstract>We aimed to establish a rice gene flow model based on (i) the Gaussian plume model, (ii) data from a three-location x 3-yr field experiment on transgene flow to common rice cultivars (Oryza sativa), male sterile (ms) lines (O. sativa) and common wild rice (Oryza rufipogon), and (iii) 32-yr historical meteorological data collected from 38 meteorological stations in southern China during the rice flowering period. The concept of the gene flow coefficient (GFC) is proposed; that is, the ratio of the transgene flow frequency (G%) obtained from field experiments to the aggregated pollen dispersal frequency (P%) calculated based on the pollen dispersal model. The maximum distances of gene flow (MDGF) to traditional rice cultivars, ms lines, and common wild rice at a threshold value of either 1.0 or 0.1% were determined. The MDGF and its spatial distribution in southern China show that the gene flow pattern is significantly affected by the monsoon climate, the topography, and the outcrossing ability of recipients. We believe that the information provided in this study will be useful for the risk assessment of transgenic rice in other rice-growing regions.</abstract><cop>Oxford, UK</cop><pub>Oxford, UK : Blackwell Publishing Ltd</pub><pmid>18643943</pmid><doi>10.1111/j.1469-8137.2008.02555.x</doi><tpages>12</tpages></addata></record> |
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subjects | China common wild rice cultivated rice Field experiments Freshwater Gene Flow gene flow coefficient gene flow model Grains male sterile lines Models, Genetic Oryza - genetics Oryza - physiology Oryza rufipogon Oryza sativa Pollen Pollen - physiology pollen dispersal model Reproduction Rice Spatial distribution Transgenes Transgenic plants transgenic rice Wild rice Wind velocity |
title | Establishment of a rice transgene flow model for predicting maximum distances of gene flow in southern China |
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