Identification of QTLs for resistance to maize rough dwarf disease using two connected RIL populations in maize
Maize rough dwarf disease (MRDD) is a significant viral disease caused by rice black-streaked dwarf virus (RBSDV) in China, which results in 30% yield losses in affected summer maize-growing areas. In this study, two connected recombinant inbred line (RIL) populations were constructed to elucidate t...
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| description | Maize rough dwarf disease (MRDD) is a significant viral disease caused by rice black-streaked dwarf virus (RBSDV) in China, which results in 30% yield losses in affected summer maize-growing areas. In this study, two connected recombinant inbred line (RIL) populations were constructed to elucidate the genetic basis of resistance during two crop seasons. Ten quantitative trait loci (QTLs) for resistance to MRDD were detected in the two RILs. Individual QTLs accounted for 4.97-23.37% of the phenotypic variance explained (PVE). The resistance QTL (qZD-MRDD8-1) with the largest effect was located in chromosome bin 8.03, representing 16.27-23.37% of the PVE across two environments. Interestingly, one pair of common significant QTLs was located in the similar region on chromosome 4 in both populations, accounting for 7.11-9.01% of the PVE in Zheng58×D863F (RIL-ZD) and 9.43-13.06% in Zheng58×ZS301 (RIL-ZZ). A total of five QTLs for MRDD resistance trait showed significant QTL-by-Environment interactions (QEI). Two candidate genes associated with resistance (GDSL-lipase and RPP13-like gene) which were higher expressed in resistant inbred line D863F than in susceptible inbred line Zheng58, were located in the physical intervals of the major QTLs on chromosomes 4 and 8, respectively. The identified QTLs will be studied further for application in marker-assisted breeding in maize genetic improvement of MRDD resistance. |
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In this study, two connected recombinant inbred line (RIL) populations were constructed to elucidate the genetic basis of resistance during two crop seasons. Ten quantitative trait loci (QTLs) for resistance to MRDD were detected in the two RILs. Individual QTLs accounted for 4.97-23.37% of the phenotypic variance explained (PVE). The resistance QTL (qZD-MRDD8-1) with the largest effect was located in chromosome bin 8.03, representing 16.27-23.37% of the PVE across two environments. Interestingly, one pair of common significant QTLs was located in the similar region on chromosome 4 in both populations, accounting for 7.11-9.01% of the PVE in Zheng58×D863F (RIL-ZD) and 9.43-13.06% in Zheng58×ZS301 (RIL-ZZ). A total of five QTLs for MRDD resistance trait showed significant QTL-by-Environment interactions (QEI). Two candidate genes associated with resistance (GDSL-lipase and RPP13-like gene) which were higher expressed in resistant inbred line D863F than in susceptible inbred line Zheng58, were located in the physical intervals of the major QTLs on chromosomes 4 and 8, respectively. The identified QTLs will be studied further for application in marker-assisted breeding in maize genetic improvement of MRDD resistance.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0226700</identifier><identifier>PMID: 31846488</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Biology and Life Sciences ; Breeding ; Chromosome 4 ; Chromosomes ; Chromosomes, Plant ; Corn ; Crop diseases ; Crop yield ; Deoxyribonucleic acid ; Disease Resistance - genetics ; DNA ; Dwarf disease ; Gene expression ; Gene mapping ; Genes, Plant ; Genetic improvement ; Genomes ; Inbreeding ; Leaves ; Lipase ; Methods ; Phenotypic variations ; Plant breeding ; Plant Diseases - virology ; Plant Viruses ; Populations ; Quantitative trait loci ; Quantitative Trait Loci - genetics ; Quantitative Trait Loci - immunology ; Research and Analysis Methods ; Viral diseases ; Viruses ; Zea mays - genetics ; Zea mays - immunology</subject><ispartof>PloS one, 2019-12, Vol.14 (12), p.e0226700-e0226700</ispartof><rights>2019 Wang et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://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>2019 Wang et al 2019 Wang et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c526t-b6c6f4d75d8035a2e3e0b8dc1893eec23e7e539aff2843c965e52fb4260259c33</citedby><cites>FETCH-LOGICAL-c526t-b6c6f4d75d8035a2e3e0b8dc1893eec23e7e539aff2843c965e52fb4260259c33</cites><orcidid>0000-0001-9206-9176</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/PMC6917286/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6917286/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23845,27901,27902,53766,53768,79342,79343</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31846488$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Wang, Xintao</creatorcontrib><creatorcontrib>Yang, Qing</creatorcontrib><creatorcontrib>Dai, Ziju</creatorcontrib><creatorcontrib>Wang, Yan</creatorcontrib><creatorcontrib>Zhang, Yingying</creatorcontrib><creatorcontrib>Li, Baoquan</creatorcontrib><creatorcontrib>Zhao, Wenming</creatorcontrib><creatorcontrib>Hao, Junjie</creatorcontrib><title>Identification of QTLs for resistance to maize rough dwarf disease using two connected RIL populations in maize</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Maize rough dwarf disease (MRDD) is a significant viral disease caused by rice black-streaked dwarf virus (RBSDV) in China, which results in 30% yield losses in affected summer maize-growing areas. In this study, two connected recombinant inbred line (RIL) populations were constructed to elucidate the genetic basis of resistance during two crop seasons. Ten quantitative trait loci (QTLs) for resistance to MRDD were detected in the two RILs. Individual QTLs accounted for 4.97-23.37% of the phenotypic variance explained (PVE). The resistance QTL (qZD-MRDD8-1) with the largest effect was located in chromosome bin 8.03, representing 16.27-23.37% of the PVE across two environments. Interestingly, one pair of common significant QTLs was located in the similar region on chromosome 4 in both populations, accounting for 7.11-9.01% of the PVE in Zheng58×D863F (RIL-ZD) and 9.43-13.06% in Zheng58×ZS301 (RIL-ZZ). A total of five QTLs for MRDD resistance trait showed significant QTL-by-Environment interactions (QEI). Two candidate genes associated with resistance (GDSL-lipase and RPP13-like gene) which were higher expressed in resistant inbred line D863F than in susceptible inbred line Zheng58, were located in the physical intervals of the major QTLs on chromosomes 4 and 8, respectively. The identified QTLs will be studied further for application in marker-assisted breeding in maize genetic improvement of MRDD resistance.</description><subject>Biology and Life Sciences</subject><subject>Breeding</subject><subject>Chromosome 4</subject><subject>Chromosomes</subject><subject>Chromosomes, Plant</subject><subject>Corn</subject><subject>Crop diseases</subject><subject>Crop yield</subject><subject>Deoxyribonucleic acid</subject><subject>Disease Resistance - genetics</subject><subject>DNA</subject><subject>Dwarf disease</subject><subject>Gene expression</subject><subject>Gene mapping</subject><subject>Genes, Plant</subject><subject>Genetic improvement</subject><subject>Genomes</subject><subject>Inbreeding</subject><subject>Leaves</subject><subject>Lipase</subject><subject>Methods</subject><subject>Phenotypic variations</subject><subject>Plant breeding</subject><subject>Plant Diseases - virology</subject><subject>Plant Viruses</subject><subject>Populations</subject><subject>Quantitative trait loci</subject><subject>Quantitative Trait Loci - genetics</subject><subject>Quantitative Trait Loci - immunology</subject><subject>Research and Analysis Methods</subject><subject>Viral diseases</subject><subject>Viruses</subject><subject>Zea mays - genetics</subject><subject>Zea mays - immunology</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><sourceid>DOA</sourceid><recordid>eNptkl1rFDEUhgdRbK3-A9GAN97smo_Jx9wIUrRdWBClXodM5mSbZTZnTWYs-uud7k5LK14lJO_7nA_eqnrN6JIJzT5scczJ9cs9JlhSzpWm9El1yhrBF4pT8fTB_aR6UcqWUimMUs-rE8FMrWpjTitcdZCGGKJ3Q8REMJBvV-tCAmaSocQyuOSBDEh2Lv4BknHcXJPuxuVAuljAFSBjiWlDhhskHlMCP0BHvq_WZI_7sT9gC4npCHhZPQuuL_BqPs-qH18-X51fLtZfL1bnn9YLL7kaFq3yKtSdlp2hQjoOAmhrOs9MIwA8F6BBisaFwE0tfKMkSB7amivKZeOFOKveHrn7Houdd1UsF1w3lCmqJ8XqqOjQbe0-x53Lvy26aA8PmDfW5SH6HmygmmsmaiNdW1MpTeBeaiWMbkMz1Z1YH-dqY7uDzk8rza5_BH38k-K13eAvqxqmuVET4P0MyPhzhDLYXSwe-t4lwPHQtxGSScYm6bt_pP-frj6qfMZSMoT7Zhi1t_m5c9nb_Ng5P5PtzcNB7k13gRF_AQzHxBE</recordid><startdate>20191217</startdate><enddate>20191217</enddate><creator>Wang, Xintao</creator><creator>Yang, Qing</creator><creator>Dai, Ziju</creator><creator>Wang, Yan</creator><creator>Zhang, Yingying</creator><creator>Li, Baoquan</creator><creator>Zhao, Wenming</creator><creator>Hao, Junjie</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>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>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0001-9206-9176</orcidid></search><sort><creationdate>20191217</creationdate><title>Identification of QTLs for resistance to maize rough dwarf disease using two connected RIL populations in maize</title><author>Wang, Xintao ; Yang, Qing ; Dai, Ziju ; Wang, Yan ; Zhang, Yingying ; Li, Baoquan ; Zhao, Wenming ; Hao, Junjie</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c526t-b6c6f4d75d8035a2e3e0b8dc1893eec23e7e539aff2843c965e52fb4260259c33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Biology and Life Sciences</topic><topic>Breeding</topic><topic>Chromosome 4</topic><topic>Chromosomes</topic><topic>Chromosomes, Plant</topic><topic>Corn</topic><topic>Crop diseases</topic><topic>Crop yield</topic><topic>Deoxyribonucleic acid</topic><topic>Disease Resistance - genetics</topic><topic>DNA</topic><topic>Dwarf disease</topic><topic>Gene expression</topic><topic>Gene mapping</topic><topic>Genes, Plant</topic><topic>Genetic improvement</topic><topic>Genomes</topic><topic>Inbreeding</topic><topic>Leaves</topic><topic>Lipase</topic><topic>Methods</topic><topic>Phenotypic variations</topic><topic>Plant breeding</topic><topic>Plant Diseases - virology</topic><topic>Plant Viruses</topic><topic>Populations</topic><topic>Quantitative trait loci</topic><topic>Quantitative Trait Loci - genetics</topic><topic>Quantitative Trait Loci - immunology</topic><topic>Research and Analysis Methods</topic><topic>Viral diseases</topic><topic>Viruses</topic><topic>Zea mays - genetics</topic><topic>Zea mays - immunology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wang, Xintao</creatorcontrib><creatorcontrib>Yang, Qing</creatorcontrib><creatorcontrib>Dai, Ziju</creatorcontrib><creatorcontrib>Wang, Yan</creatorcontrib><creatorcontrib>Zhang, Yingying</creatorcontrib><creatorcontrib>Li, Baoquan</creatorcontrib><creatorcontrib>Zhao, Wenming</creatorcontrib><creatorcontrib>Hao, Junjie</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>ProQuest Nursing and Allied Health Journals</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>ProQuest Health and Medical</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, Xintao</au><au>Yang, Qing</au><au>Dai, Ziju</au><au>Wang, Yan</au><au>Zhang, Yingying</au><au>Li, Baoquan</au><au>Zhao, Wenming</au><au>Hao, Junjie</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Identification of QTLs for resistance to maize rough dwarf disease using two connected RIL populations in maize</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2019-12-17</date><risdate>2019</risdate><volume>14</volume><issue>12</issue><spage>e0226700</spage><epage>e0226700</epage><pages>e0226700-e0226700</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Maize rough dwarf disease (MRDD) is a significant viral disease caused by rice black-streaked dwarf virus (RBSDV) in China, which results in 30% yield losses in affected summer maize-growing areas. In this study, two connected recombinant inbred line (RIL) populations were constructed to elucidate the genetic basis of resistance during two crop seasons. Ten quantitative trait loci (QTLs) for resistance to MRDD were detected in the two RILs. Individual QTLs accounted for 4.97-23.37% of the phenotypic variance explained (PVE). The resistance QTL (qZD-MRDD8-1) with the largest effect was located in chromosome bin 8.03, representing 16.27-23.37% of the PVE across two environments. Interestingly, one pair of common significant QTLs was located in the similar region on chromosome 4 in both populations, accounting for 7.11-9.01% of the PVE in Zheng58×D863F (RIL-ZD) and 9.43-13.06% in Zheng58×ZS301 (RIL-ZZ). A total of five QTLs for MRDD resistance trait showed significant QTL-by-Environment interactions (QEI). Two candidate genes associated with resistance (GDSL-lipase and RPP13-like gene) which were higher expressed in resistant inbred line D863F than in susceptible inbred line Zheng58, were located in the physical intervals of the major QTLs on chromosomes 4 and 8, respectively. The identified QTLs will be studied further for application in marker-assisted breeding in maize genetic improvement of MRDD resistance.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>31846488</pmid><doi>10.1371/journal.pone.0226700</doi><orcidid>https://orcid.org/0000-0001-9206-9176</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Biology and Life Sciences Breeding Chromosome 4 Chromosomes Chromosomes, Plant Corn Crop diseases Crop yield Deoxyribonucleic acid Disease Resistance - genetics DNA Dwarf disease Gene expression Gene mapping Genes, Plant Genetic improvement Genomes Inbreeding Leaves Lipase Methods Phenotypic variations Plant breeding Plant Diseases - virology Plant Viruses Populations Quantitative trait loci Quantitative Trait Loci - genetics Quantitative Trait Loci - immunology Research and Analysis Methods Viral diseases Viruses Zea mays - genetics Zea mays - immunology |
| title | Identification of QTLs for resistance to maize rough dwarf disease using two connected RIL populations in maize |
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