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Rapid and Targeted Introgression of Genes into Popular Wheat Cultivars Using Marker-Assisted Background Selection
A marker-assisted background selection (MABS)-based gene introgression approach in wheat (Triticum aestivum L.) was optimized, where 97% or more of a recurrent parent genome (RPG) can be recovered in just two backcross (BC) generations. A four-step MABS method was developed based on 'Plabsim...
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Published in: | PloS one 2009-06, Vol.4 (6), p.e5752-e5752 |
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description | A marker-assisted background selection (MABS)-based gene introgression approach in wheat (Triticum aestivum L.) was optimized, where 97% or more of a recurrent parent genome (RPG) can be recovered in just two backcross (BC) generations. A four-step MABS method was developed based on 'Plabsim' computer simulations and wheat genome structure information. During empirical optimization of this method, double recombinants around the target gene were selected in a step-wise fashion during the two BC cycles followed by selection for recurrent parent genotype on non-carrier chromosomes. The average spacing between carrier chromosome markers was |
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A four-step MABS method was developed based on 'Plabsim' computer simulations and wheat genome structure information. During empirical optimization of this method, double recombinants around the target gene were selected in a step-wise fashion during the two BC cycles followed by selection for recurrent parent genotype on non-carrier chromosomes. The average spacing between carrier chromosome markers was <4 cM. For non-carrier chromosome markers that flanked each of the 48 wheat gene-rich regions, this distance was approximately 12 cM. Employed to introgress seedling stripe rust (Puccinia striiformis f. sp. tritici) resistance gene Yr15 into the spring wheat cultivar 'Zak', marker analysis of 2,187 backcross-derived progeny resulted in the recovery of a BC2F2:3 plant with 97% of the recurrent parent genome. In contrast, only 82% of the recurrent parent genome was recovered in phenotypically selected BC4F7 plants developed without MABS. Field evaluation results from 17 locations indicated that the MABS-derived line was either equal or superior to the recurrent parent for the tested agronomic characteristics. Based on these results, MABS is recommended as a strategy for rapidly introgressing a targeted gene into a wheat genotype in just two backcross generations while recovering 97% or more of the recurrent parent genotype.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0005752</identifier><identifier>PMID: 19484121</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Agronomy ; backcrossing ; Biotechnology ; Biotechnology/Plant Biotechnology ; Carriers ; Chromosome Mapping ; Chromosomes ; Chromosomes - ultrastructure ; Computer Simulation ; Crosses, Genetic ; Cultivars ; disease resistance ; Empirical analysis ; Genes ; Genes, Plant ; Genetic aspects ; Genetic Markers ; Genetic research ; Genetics and Genomics ; Genetics and Genomics/Bioinformatics ; genome ; Genome, Plant ; Genomes ; Genomics ; Genotype ; Heterozygote ; introgression ; marker-assisted background selection ; marker-assisted selection ; Markers ; Mathematical models ; Models, Genetic ; Optimization ; Oryza ; Plant Biology/Agricultural Biotechnology ; plant breeding ; Plant Diseases - genetics ; Plant pathology ; Population ; Probability ; Progeny ; Puccinia ; Puccinia recondita ; Recombinants ; Recombination, Genetic ; Rice ; rust diseases ; Seedlings ; Simulation ; simulation models ; Soil sciences ; Spring wheat ; Stripe rust ; Triticum - genetics ; Triticum aestivum ; Triticum dicoccum ; Wheat</subject><ispartof>PloS one, 2009-06, Vol.4 (6), p.e5752-e5752</ispartof><rights>COPYRIGHT 2009 Public Library of Science</rights><rights>2009 Randhawa et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License (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>Randhawa et al. 2009</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c717t-a3be69b975c064646a0ae400dd6de7299a2dfefbf842b730d92d0051b00bcd2c3</citedby><cites>FETCH-LOGICAL-c717t-a3be69b975c064646a0ae400dd6de7299a2dfefbf842b730d92d0051b00bcd2c3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/1289205734/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/1289205734?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793,75126</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/19484121$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Dilkes, Brian P.</contributor><creatorcontrib>Randhawa, Harpinder S</creatorcontrib><creatorcontrib>Mutti, Jasdeep S</creatorcontrib><creatorcontrib>Kidwell, Kim</creatorcontrib><creatorcontrib>Morris, Craig F</creatorcontrib><creatorcontrib>Chen, Xianming</creatorcontrib><creatorcontrib>Gill, Kulvinder S</creatorcontrib><title>Rapid and Targeted Introgression of Genes into Popular Wheat Cultivars Using Marker-Assisted Background Selection</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>A marker-assisted background selection (MABS)-based gene introgression approach in wheat (Triticum aestivum L.) was optimized, where 97% or more of a recurrent parent genome (RPG) can be recovered in just two backcross (BC) generations. A four-step MABS method was developed based on 'Plabsim' computer simulations and wheat genome structure information. During empirical optimization of this method, double recombinants around the target gene were selected in a step-wise fashion during the two BC cycles followed by selection for recurrent parent genotype on non-carrier chromosomes. The average spacing between carrier chromosome markers was <4 cM. For non-carrier chromosome markers that flanked each of the 48 wheat gene-rich regions, this distance was approximately 12 cM. Employed to introgress seedling stripe rust (Puccinia striiformis f. sp. tritici) resistance gene Yr15 into the spring wheat cultivar 'Zak', marker analysis of 2,187 backcross-derived progeny resulted in the recovery of a BC2F2:3 plant with 97% of the recurrent parent genome. In contrast, only 82% of the recurrent parent genome was recovered in phenotypically selected BC4F7 plants developed without MABS. Field evaluation results from 17 locations indicated that the MABS-derived line was either equal or superior to the recurrent parent for the tested agronomic characteristics. Based on these results, MABS is recommended as a strategy for rapidly introgressing a targeted gene into a wheat genotype in just two backcross generations while recovering 97% or more of the recurrent parent genotype.</description><subject>Agronomy</subject><subject>backcrossing</subject><subject>Biotechnology</subject><subject>Biotechnology/Plant Biotechnology</subject><subject>Carriers</subject><subject>Chromosome Mapping</subject><subject>Chromosomes</subject><subject>Chromosomes - ultrastructure</subject><subject>Computer Simulation</subject><subject>Crosses, Genetic</subject><subject>Cultivars</subject><subject>disease resistance</subject><subject>Empirical analysis</subject><subject>Genes</subject><subject>Genes, Plant</subject><subject>Genetic aspects</subject><subject>Genetic Markers</subject><subject>Genetic research</subject><subject>Genetics and Genomics</subject><subject>Genetics and Genomics/Bioinformatics</subject><subject>genome</subject><subject>Genome, Plant</subject><subject>Genomes</subject><subject>Genomics</subject><subject>Genotype</subject><subject>Heterozygote</subject><subject>introgression</subject><subject>marker-assisted background selection</subject><subject>marker-assisted selection</subject><subject>Markers</subject><subject>Mathematical models</subject><subject>Models, Genetic</subject><subject>Optimization</subject><subject>Oryza</subject><subject>Plant Biology/Agricultural Biotechnology</subject><subject>plant breeding</subject><subject>Plant Diseases - genetics</subject><subject>Plant pathology</subject><subject>Population</subject><subject>Probability</subject><subject>Progeny</subject><subject>Puccinia</subject><subject>Puccinia recondita</subject><subject>Recombinants</subject><subject>Recombination, Genetic</subject><subject>Rice</subject><subject>rust diseases</subject><subject>Seedlings</subject><subject>Simulation</subject><subject>simulation models</subject><subject>Soil sciences</subject><subject>Spring wheat</subject><subject>Stripe rust</subject><subject>Triticum - genetics</subject><subject>Triticum aestivum</subject><subject>Triticum dicoccum</subject><subject>Wheat</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNqNk9tuEzEQhlcIREvhDRCshFSJiwQf9niDFCIokYqKmgYurVnbu3HrrFPbW8HbMyGBJggJ5Atb3m_-2Rn_kyTPKRlTXtI3127wPdjx2vV6TAjJy5w9SI5pzdmoYIQ_3DsfJU9CuEaGV0XxODmidVZllNHj5PYS1kal0Kv0Cnyno1bprI_edV6HYFyfujY9070OqemjSz-79WDBp1-XGmI6HWw0d-BDugim79JP4G-0H00wMmyU3oG86bwbUH2urZYRBZ8mj1qwQT_b7SfJ4sP7q-nH0fnF2Ww6OR_JkpZxBLzRRd3UZS5JkeECAjojRKlC6ZLVNTDV6rZpq4w1JSeqZgoLpA0hjVRM8pPk5VZ3bV0Qu24FQVlVM2wWz5CYbQnl4FqsvVmB_y4cGPHzwvlOgI9GWi2qulIVzSlUtcwaqAAKRTCxzGmBxwa13u6yDc1KK6mxh2APRA-_9GYpOncnWFFleZWjwOlOwLvbQYcoViZIbS302g1BFCWnJcvYP0FGGPqDlQi--gP8exPGW6oDrNP0rcPfk7iUXhmJ3moN3k8yTE9qzisMeH0QgEzU32IHQwhiNr_8f_biyyF7useivWxcBmeHjWfCIZhtQeldCF63v7tMidiMxq86xWY0xG40MOzF_gvdB-1m4d4wLTgBnTdBLOaMUE5oUZaMFfwHaTcULw</recordid><startdate>20090601</startdate><enddate>20090601</enddate><creator>Randhawa, Harpinder S</creator><creator>Mutti, Jasdeep S</creator><creator>Kidwell, Kim</creator><creator>Morris, Craig F</creator><creator>Chen, Xianming</creator><creator>Gill, Kulvinder S</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</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>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>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>20090601</creationdate><title>Rapid and Targeted Introgression of Genes into Popular Wheat Cultivars Using Marker-Assisted Background Selection</title><author>Randhawa, Harpinder S ; Mutti, Jasdeep S ; Kidwell, Kim ; Morris, Craig F ; Chen, Xianming ; Gill, Kulvinder S</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c717t-a3be69b975c064646a0ae400dd6de7299a2dfefbf842b730d92d0051b00bcd2c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Agronomy</topic><topic>backcrossing</topic><topic>Biotechnology</topic><topic>Biotechnology/Plant Biotechnology</topic><topic>Carriers</topic><topic>Chromosome Mapping</topic><topic>Chromosomes</topic><topic>Chromosomes - ultrastructure</topic><topic>Computer Simulation</topic><topic>Crosses, Genetic</topic><topic>Cultivars</topic><topic>disease resistance</topic><topic>Empirical analysis</topic><topic>Genes</topic><topic>Genes, Plant</topic><topic>Genetic aspects</topic><topic>Genetic Markers</topic><topic>Genetic research</topic><topic>Genetics and Genomics</topic><topic>Genetics and Genomics/Bioinformatics</topic><topic>genome</topic><topic>Genome, Plant</topic><topic>Genomes</topic><topic>Genomics</topic><topic>Genotype</topic><topic>Heterozygote</topic><topic>introgression</topic><topic>marker-assisted background selection</topic><topic>marker-assisted selection</topic><topic>Markers</topic><topic>Mathematical models</topic><topic>Models, Genetic</topic><topic>Optimization</topic><topic>Oryza</topic><topic>Plant Biology/Agricultural Biotechnology</topic><topic>plant breeding</topic><topic>Plant Diseases - genetics</topic><topic>Plant pathology</topic><topic>Population</topic><topic>Probability</topic><topic>Progeny</topic><topic>Puccinia</topic><topic>Puccinia recondita</topic><topic>Recombinants</topic><topic>Recombination, Genetic</topic><topic>Rice</topic><topic>rust diseases</topic><topic>Seedlings</topic><topic>Simulation</topic><topic>simulation models</topic><topic>Soil sciences</topic><topic>Spring wheat</topic><topic>Stripe rust</topic><topic>Triticum - 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A four-step MABS method was developed based on 'Plabsim' computer simulations and wheat genome structure information. During empirical optimization of this method, double recombinants around the target gene were selected in a step-wise fashion during the two BC cycles followed by selection for recurrent parent genotype on non-carrier chromosomes. The average spacing between carrier chromosome markers was <4 cM. For non-carrier chromosome markers that flanked each of the 48 wheat gene-rich regions, this distance was approximately 12 cM. Employed to introgress seedling stripe rust (Puccinia striiformis f. sp. tritici) resistance gene Yr15 into the spring wheat cultivar 'Zak', marker analysis of 2,187 backcross-derived progeny resulted in the recovery of a BC2F2:3 plant with 97% of the recurrent parent genome. In contrast, only 82% of the recurrent parent genome was recovered in phenotypically selected BC4F7 plants developed without MABS. Field evaluation results from 17 locations indicated that the MABS-derived line was either equal or superior to the recurrent parent for the tested agronomic characteristics. Based on these results, MABS is recommended as a strategy for rapidly introgressing a targeted gene into a wheat genotype in just two backcross generations while recovering 97% or more of the recurrent parent genotype.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>19484121</pmid><doi>10.1371/journal.pone.0005752</doi><tpages>e5752</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Agronomy backcrossing Biotechnology Biotechnology/Plant Biotechnology Carriers Chromosome Mapping Chromosomes Chromosomes - ultrastructure Computer Simulation Crosses, Genetic Cultivars disease resistance Empirical analysis Genes Genes, Plant Genetic aspects Genetic Markers Genetic research Genetics and Genomics Genetics and Genomics/Bioinformatics genome Genome, Plant Genomes Genomics Genotype Heterozygote introgression marker-assisted background selection marker-assisted selection Markers Mathematical models Models, Genetic Optimization Oryza Plant Biology/Agricultural Biotechnology plant breeding Plant Diseases - genetics Plant pathology Population Probability Progeny Puccinia Puccinia recondita Recombinants Recombination, Genetic Rice rust diseases Seedlings Simulation simulation models Soil sciences Spring wheat Stripe rust Triticum - genetics Triticum aestivum Triticum dicoccum Wheat |
title | Rapid and Targeted Introgression of Genes into Popular Wheat Cultivars Using Marker-Assisted Background Selection |
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