Genetic Characterization of Russian Rapeseed Collection and Association Mapping of Novel Loci Affecting Glucosinolate Content
Rapeseed is the second most common oilseed crop worldwide. While the start of rapeseed breeding in Russia dates back to the middle of the 20th century, its widespread cultivation began only recently. In contrast to the world's rapeseed genetic variation, the genetic composition of Russian rapes...
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Veröffentlicht in: | Genes 2020-08, Vol.11 (8), p.926 |
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description | Rapeseed is the second most common oilseed crop worldwide. While the start of rapeseed breeding in Russia dates back to the middle of the 20th century, its widespread cultivation began only recently. In contrast to the world's rapeseed genetic variation, the genetic composition of Russian rapeseed lines remained unexplored. We have addressed this question by performing genome-wide genotyping of 90 advanced rapeseed accessions provided by the All-Russian Research Institute of Oil Crops (VNIIMK). Genome-wide genetic analysis demonstrated a clear difference between Russian rapeseed varieties and the rapeseed varieties from the rest of the world, including the European ones, indicating that rapeseed breeding in Russia proceeded in its own independent direction. Hence, genetic determinants of agronomical traits might also be different in Russian rapeseed lines. To assess it, we collected the glucosinolate content data for the same 90 genotyped accessions obtained during three years and performed an association mapping of this trait. We indeed found that the loci significantly associated with glucosinolate content variation in the Russian rapeseed collection differ from those previously reported for the non-Russian rapeseed lines. |
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While the start of rapeseed breeding in Russia dates back to the middle of the 20th century, its widespread cultivation began only recently. In contrast to the world's rapeseed genetic variation, the genetic composition of Russian rapeseed lines remained unexplored. We have addressed this question by performing genome-wide genotyping of 90 advanced rapeseed accessions provided by the All-Russian Research Institute of Oil Crops (VNIIMK). Genome-wide genetic analysis demonstrated a clear difference between Russian rapeseed varieties and the rapeseed varieties from the rest of the world, including the European ones, indicating that rapeseed breeding in Russia proceeded in its own independent direction. Hence, genetic determinants of agronomical traits might also be different in Russian rapeseed lines. To assess it, we collected the glucosinolate content data for the same 90 genotyped accessions obtained during three years and performed an association mapping of this trait. We indeed found that the loci significantly associated with glucosinolate content variation in the Russian rapeseed collection differ from those previously reported for the non-Russian rapeseed lines.</description><identifier>ISSN: 2073-4425</identifier><identifier>EISSN: 2073-4425</identifier><identifier>DOI: 10.3390/genes11080926</identifier><identifier>PMID: 32806588</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Brassica napus ; Brassica napus - genetics ; Brassica napus - metabolism ; Breeding ; Chromosome Mapping ; Computational Biology - methods ; Deoxyribonucleic acid ; DNA ; Gene loci ; Gene mapping ; Genetic analysis ; Genetic Association Studies ; Genetic diversity ; Genetic testing ; Genetic Variation ; Genetics, Population ; Genomes ; Genotype ; Genotyping ; Glucosinolates ; Glucosinolates - metabolism ; Library collections ; Metabolites ; Molecular Sequence Annotation ; Oilseeds ; Phenotype ; Plant Breeding ; Polymorphism, Single Nucleotide ; Principal components analysis ; Quality ; Quantitative Trait Loci ; Quantitative Trait, Heritable ; Seeds ; Software ; Studies</subject><ispartof>Genes, 2020-08, Vol.11 (8), p.926</ispartof><rights>2020. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2020 by the authors. 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c415t-100a14454b50c85fd6a7873ce54b842597e78830804bdbf5579db2ca5a181a873</citedby><cites>FETCH-LOGICAL-c415t-100a14454b50c85fd6a7873ce54b842597e78830804bdbf5579db2ca5a181a873</cites><orcidid>0000-0003-3290-1703 ; 0000-0002-0987-5087 ; 0000-0003-3903-020X ; 0000-0001-9268-3352</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7465703/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7465703/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32806588$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Gubaev, Rim</creatorcontrib><creatorcontrib>Gorlova, Lyudmila</creatorcontrib><creatorcontrib>Boldyrev, Stepan</creatorcontrib><creatorcontrib>Goryunova, Svetlana</creatorcontrib><creatorcontrib>Goryunov, Denis</creatorcontrib><creatorcontrib>Mazin, Pavel</creatorcontrib><creatorcontrib>Chernova, Alina</creatorcontrib><creatorcontrib>Martynova, Elena</creatorcontrib><creatorcontrib>Demurin, Yakov</creatorcontrib><creatorcontrib>Khaitovich, Philipp</creatorcontrib><title>Genetic Characterization of Russian Rapeseed Collection and Association Mapping of Novel Loci Affecting Glucosinolate Content</title><title>Genes</title><addtitle>Genes (Basel)</addtitle><description>Rapeseed is the second most common oilseed crop worldwide. While the start of rapeseed breeding in Russia dates back to the middle of the 20th century, its widespread cultivation began only recently. In contrast to the world's rapeseed genetic variation, the genetic composition of Russian rapeseed lines remained unexplored. We have addressed this question by performing genome-wide genotyping of 90 advanced rapeseed accessions provided by the All-Russian Research Institute of Oil Crops (VNIIMK). Genome-wide genetic analysis demonstrated a clear difference between Russian rapeseed varieties and the rapeseed varieties from the rest of the world, including the European ones, indicating that rapeseed breeding in Russia proceeded in its own independent direction. Hence, genetic determinants of agronomical traits might also be different in Russian rapeseed lines. To assess it, we collected the glucosinolate content data for the same 90 genotyped accessions obtained during three years and performed an association mapping of this trait. We indeed found that the loci significantly associated with glucosinolate content variation in the Russian rapeseed collection differ from those previously reported for the non-Russian rapeseed lines.</description><subject>Brassica napus</subject><subject>Brassica napus - genetics</subject><subject>Brassica napus - metabolism</subject><subject>Breeding</subject><subject>Chromosome Mapping</subject><subject>Computational Biology - methods</subject><subject>Deoxyribonucleic acid</subject><subject>DNA</subject><subject>Gene loci</subject><subject>Gene mapping</subject><subject>Genetic analysis</subject><subject>Genetic Association Studies</subject><subject>Genetic diversity</subject><subject>Genetic testing</subject><subject>Genetic Variation</subject><subject>Genetics, Population</subject><subject>Genomes</subject><subject>Genotype</subject><subject>Genotyping</subject><subject>Glucosinolates</subject><subject>Glucosinolates - metabolism</subject><subject>Library collections</subject><subject>Metabolites</subject><subject>Molecular Sequence Annotation</subject><subject>Oilseeds</subject><subject>Phenotype</subject><subject>Plant Breeding</subject><subject>Polymorphism, Single Nucleotide</subject><subject>Principal components analysis</subject><subject>Quality</subject><subject>Quantitative Trait Loci</subject><subject>Quantitative Trait, Heritable</subject><subject>Seeds</subject><subject>Software</subject><subject>Studies</subject><issn>2073-4425</issn><issn>2073-4425</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNpdkc9rFDEUx4NYbGl79CoDXryM5udM9iIsS90Kq4VSz-FN5s02JZuMyUxBwf-9WbeW1lwS3veTb943j5C3jH4UYkE_bTFgZoxquuDNK3LCaStqKbl6_ex8TM5zvqNlScopVW_IseCaNkrrE_JnXSwmZ6vVLSSwEyb3GyYXQxWH6nrO2UGormHEjNhXq-g92r8yhL5a5hytO-DfYBxd2O6vfY_36KtNkarlMOz5Ul_72cbsQvQwYTEKE4bpjBwN4DOeP-6n5MeXi5vVZb25Wn9dLTe1lUxNNaMUmJRKdoparYa-gVa3wmKp6JJw0WKrtSjfILu-G5RqF33HLShgmkEhT8nng-84dzvsbXk6gTdjcjtIv0wEZ14qwd2abbw3rWxUS0Ux-PBokOLPGfNkdi5b9B4CxjkbLoViujTBCvr-P_QuzimUeHtKqqbhXBWqPlA2xZwTDk_NMGr2szUvZlv4d88TPNH_JikeABPeoWg</recordid><startdate>20200812</startdate><enddate>20200812</enddate><creator>Gubaev, Rim</creator><creator>Gorlova, Lyudmila</creator><creator>Boldyrev, Stepan</creator><creator>Goryunova, Svetlana</creator><creator>Goryunov, Denis</creator><creator>Mazin, Pavel</creator><creator>Chernova, Alina</creator><creator>Martynova, Elena</creator><creator>Demurin, Yakov</creator><creator>Khaitovich, Philipp</creator><general>MDPI AG</general><general>MDPI</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>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>LK8</scope><scope>M7P</scope><scope>P64</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0003-3290-1703</orcidid><orcidid>https://orcid.org/0000-0002-0987-5087</orcidid><orcidid>https://orcid.org/0000-0003-3903-020X</orcidid><orcidid>https://orcid.org/0000-0001-9268-3352</orcidid></search><sort><creationdate>20200812</creationdate><title>Genetic Characterization of Russian Rapeseed Collection and Association Mapping of Novel Loci Affecting Glucosinolate Content</title><author>Gubaev, Rim ; 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While the start of rapeseed breeding in Russia dates back to the middle of the 20th century, its widespread cultivation began only recently. In contrast to the world's rapeseed genetic variation, the genetic composition of Russian rapeseed lines remained unexplored. We have addressed this question by performing genome-wide genotyping of 90 advanced rapeseed accessions provided by the All-Russian Research Institute of Oil Crops (VNIIMK). Genome-wide genetic analysis demonstrated a clear difference between Russian rapeseed varieties and the rapeseed varieties from the rest of the world, including the European ones, indicating that rapeseed breeding in Russia proceeded in its own independent direction. Hence, genetic determinants of agronomical traits might also be different in Russian rapeseed lines. To assess it, we collected the glucosinolate content data for the same 90 genotyped accessions obtained during three years and performed an association mapping of this trait. 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subjects | Brassica napus Brassica napus - genetics Brassica napus - metabolism Breeding Chromosome Mapping Computational Biology - methods Deoxyribonucleic acid DNA Gene loci Gene mapping Genetic analysis Genetic Association Studies Genetic diversity Genetic testing Genetic Variation Genetics, Population Genomes Genotype Genotyping Glucosinolates Glucosinolates - metabolism Library collections Metabolites Molecular Sequence Annotation Oilseeds Phenotype Plant Breeding Polymorphism, Single Nucleotide Principal components analysis Quality Quantitative Trait Loci Quantitative Trait, Heritable Seeds Software Studies |
title | Genetic Characterization of Russian Rapeseed Collection and Association Mapping of Novel Loci Affecting Glucosinolate Content |
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