RETRACTED: Genotypic and phenotypic characterization of a large, diverse population of maize near‐isogenic lines
Genome‐wide association (GWA) studies can identify quantitative trait loci (QTL) putatively underlying traits of interest, and nested association mapping (NAM) can further assess allelic series. Near‐isogenic lines (NILs) can be used to characterize, dissect and validate QTL, but the development of...
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creator | Morales, Laura Repka, A. C. Swarts, Kelly L. Stafstrom, William C. He, Yijian Sermons, Shannon M. Yang, Qin Lopez‐Zuniga, Luis O. Rucker, Elizabeth Thomason, Wade E. Nelson, Rebecca J. Balint‐Kurti, Peter J. |
description | Genome‐wide association (GWA) studies can identify quantitative trait loci (QTL) putatively underlying traits of interest, and nested association mapping (NAM) can further assess allelic series. Near‐isogenic lines (NILs) can be used to characterize, dissect and validate QTL, but the development of NILs is costly. Previous studies have utilized limited numbers of NILs and introgression donors. We characterized a panel of 1270 maize NILs derived from crosses between 18 diverse inbred lines and the recurrent inbred parent B73, referred to as the nested NILs (nNILs). The nNILs were phenotyped for flowering time, height and resistance to three foliar diseases, and genotyped with genotyping‐by‐sequencing. Across traits, broad‐sense heritability (0.4–0.8) was relatively high. The 896 genotyped nNILs contain 2638 introgressions, which span the entire genome with substantial overlap within and among allele donors. GWA with the whole panel identified 29 QTL for height and disease resistance with allelic variation across donors. To date, this is the largest and most diverse publicly available panel of maize NILs to be phenotypically and genotypically characterized. The nNILs are a valuable resource for the maize community, providing an extensive collection of introgressions from the founders of the maize NAM population in a B73 background combined with data on six agronomically important traits and from genotyping‐by‐sequencing. We demonstrate that the nNILs can be used for QTL mapping and allelic testing. The majority of nNILs had four or fewer introgressions, and could readily be used for future fine mapping studies.
This manuscript describes a unique and powerful population of maize near‐isogenic lines that can be used for the rapid characterization of the genetic basis of a range of quantitative traits. The analysis of the genetic basis of resistance to three diseases and associated traits is provided as an example. |
doi_str_mv | 10.1111/tpj.14787 |
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This manuscript describes a unique and powerful population of maize near‐isogenic lines that can be used for the rapid characterization of the genetic basis of a range of quantitative traits. The analysis of the genetic basis of resistance to three diseases and associated traits is provided as an example.</description><subject>Agronomy</subject><subject>Corn</subject><subject>Disease resistance</subject><subject>Flowering</subject><subject>Foliar diseases</subject><subject>Gene mapping</subject><subject>Genomes</subject><subject>Genotyping</subject><subject>Heritability</subject><subject>Inbreeding</subject><subject>Mapping</subject><subject>Quantitative trait loci</subject><subject>Sequences</subject><issn>0960-7412</issn><issn>1365-313X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNo9kM1KAzEQx4MoWKsH3yDgSXBrvppkvZVaq1AQyh68LbNptk3ZbtZkK7QnH8Fn9EncqnQuwzD_D_ghdE3JgHZz3zbrARVKqxPUo1wOE0752ynqkVSSRAnKztFFjGtCqOJS9FCYT7L5aJxNHh_w1Na-3TXOYKgXuFkdT7OCAKa1we2hdb7GvsSAKwhLe4cX7sOGaHHjm211fG_A7S2uLYTvzy8X_dLWXVDlahsv0VkJVbRX_7uPsqdJNn5OZq_Tl_FolhjJREIVtdpQbQ0IYaSWUICyhWRWKTlkJaPDlKcs1YJpahZCkkISDsCkLoALw_vo5i-2Cf59a2Obr_021F1jzg4eSqgWner2T2WCjzHYMm-C20DY5ZTkB6J5RzT_Jcp_AKHkaiA</recordid><startdate>202008</startdate><enddate>202008</enddate><creator>Morales, Laura</creator><creator>Repka, A. 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C. ; Swarts, Kelly L. ; Stafstrom, William C. ; He, Yijian ; Sermons, Shannon M. ; Yang, Qin ; Lopez‐Zuniga, Luis O. ; Rucker, Elizabeth ; Thomason, Wade E. ; Nelson, Rebecca J. ; Balint‐Kurti, Peter J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c624-171e8c18eca44c686aba7eb62e77652f2159392984281cd460b603aa268ba34c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Agronomy</topic><topic>Corn</topic><topic>Disease resistance</topic><topic>Flowering</topic><topic>Foliar diseases</topic><topic>Gene mapping</topic><topic>Genomes</topic><topic>Genotyping</topic><topic>Heritability</topic><topic>Inbreeding</topic><topic>Mapping</topic><topic>Quantitative trait loci</topic><topic>Sequences</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Morales, Laura</creatorcontrib><creatorcontrib>Repka, A. C.</creatorcontrib><creatorcontrib>Swarts, Kelly L.</creatorcontrib><creatorcontrib>Stafstrom, William C.</creatorcontrib><creatorcontrib>He, Yijian</creatorcontrib><creatorcontrib>Sermons, Shannon M.</creatorcontrib><creatorcontrib>Yang, Qin</creatorcontrib><creatorcontrib>Lopez‐Zuniga, Luis O.</creatorcontrib><creatorcontrib>Rucker, Elizabeth</creatorcontrib><creatorcontrib>Thomason, Wade E.</creatorcontrib><creatorcontrib>Nelson, Rebecca J.</creatorcontrib><creatorcontrib>Balint‐Kurti, Peter J.</creatorcontrib><collection>CrossRef</collection><collection>Biotechnology Research Abstracts</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Chemoreception Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><jtitle>The Plant journal : for cell and molecular biology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Morales, Laura</au><au>Repka, A. C.</au><au>Swarts, Kelly L.</au><au>Stafstrom, William C.</au><au>He, Yijian</au><au>Sermons, Shannon M.</au><au>Yang, Qin</au><au>Lopez‐Zuniga, Luis O.</au><au>Rucker, Elizabeth</au><au>Thomason, Wade E.</au><au>Nelson, Rebecca J.</au><au>Balint‐Kurti, Peter J.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>RETRACTED: Genotypic and phenotypic characterization of a large, diverse population of maize near‐isogenic lines</atitle><jtitle>The Plant journal : for cell and molecular biology</jtitle><date>2020-08</date><risdate>2020</risdate><volume>103</volume><issue>3</issue><spage>1246</spage><epage>1255</epage><pages>1246-1255</pages><issn>0960-7412</issn><eissn>1365-313X</eissn><abstract>Genome‐wide association (GWA) studies can identify quantitative trait loci (QTL) putatively underlying traits of interest, and nested association mapping (NAM) can further assess allelic series. Near‐isogenic lines (NILs) can be used to characterize, dissect and validate QTL, but the development of NILs is costly. Previous studies have utilized limited numbers of NILs and introgression donors. We characterized a panel of 1270 maize NILs derived from crosses between 18 diverse inbred lines and the recurrent inbred parent B73, referred to as the nested NILs (nNILs). The nNILs were phenotyped for flowering time, height and resistance to three foliar diseases, and genotyped with genotyping‐by‐sequencing. Across traits, broad‐sense heritability (0.4–0.8) was relatively high. The 896 genotyped nNILs contain 2638 introgressions, which span the entire genome with substantial overlap within and among allele donors. GWA with the whole panel identified 29 QTL for height and disease resistance with allelic variation across donors. To date, this is the largest and most diverse publicly available panel of maize NILs to be phenotypically and genotypically characterized. The nNILs are a valuable resource for the maize community, providing an extensive collection of introgressions from the founders of the maize NAM population in a B73 background combined with data on six agronomically important traits and from genotyping‐by‐sequencing. We demonstrate that the nNILs can be used for QTL mapping and allelic testing. The majority of nNILs had four or fewer introgressions, and could readily be used for future fine mapping studies.
This manuscript describes a unique and powerful population of maize near‐isogenic lines that can be used for the rapid characterization of the genetic basis of a range of quantitative traits. The analysis of the genetic basis of resistance to three diseases and associated traits is provided as an example.</abstract><cop>Oxford</cop><pub>Blackwell Publishing Ltd</pub><doi>10.1111/tpj.14787</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0001-8430-7170</orcidid><orcidid>https://orcid.org/0000-0002-0403-035X</orcidid><orcidid>https://orcid.org/0000-0002-9026-7803</orcidid><orcidid>https://orcid.org/0000-0003-2498-1010</orcidid><orcidid>https://orcid.org/0000-0003-2580-2571</orcidid><orcidid>https://orcid.org/0000-0002-3916-194X</orcidid><orcidid>https://orcid.org/0000-0002-0578-7426</orcidid></addata></record> |
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subjects | Agronomy Corn Disease resistance Flowering Foliar diseases Gene mapping Genomes Genotyping Heritability Inbreeding Mapping Quantitative trait loci Sequences |
title | RETRACTED: Genotypic and phenotypic characterization of a large, diverse population of maize near‐isogenic lines |
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