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Genetic architecture of maize chlorotic mottle virus and maize lethal necrosis through GWAS, linkage analysis and genomic prediction in tropical maize germplasm

KEY MESSAGE: Analysis of the genetic architecture of MCMV and MLN resistance in maize doubled-haploid populations revealed QTLs with major effects on chromosomes 3 and 6 that were consistent across genetic backgrounds and environments. Two major-effect QTLs, qMCMV3-108/qMLN3-108 and qMCMV6-17/qMLN6-...

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Autores principales: Sitonik, Chelang’at, Suresh, L. M., Beyene, Yoseph, Olsen, Michael S., Makumbi, Dan, Oliver, Kiplagat, Das, Biswanath, Bright, Jumbo M., Mugo, Stephen, Crossa, Jose, Tarekegne, Amsal, Prasanna, Boddupalli M., Gowda, Manje
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6647133/
https://www.ncbi.nlm.nih.gov/pubmed/31098757
http://dx.doi.org/10.1007/s00122-019-03360-x
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author Sitonik, Chelang’at
Suresh, L. M.
Beyene, Yoseph
Olsen, Michael S.
Makumbi, Dan
Oliver, Kiplagat
Das, Biswanath
Bright, Jumbo M.
Mugo, Stephen
Crossa, Jose
Tarekegne, Amsal
Prasanna, Boddupalli M.
Gowda, Manje
author_facet Sitonik, Chelang’at
Suresh, L. M.
Beyene, Yoseph
Olsen, Michael S.
Makumbi, Dan
Oliver, Kiplagat
Das, Biswanath
Bright, Jumbo M.
Mugo, Stephen
Crossa, Jose
Tarekegne, Amsal
Prasanna, Boddupalli M.
Gowda, Manje
author_sort Sitonik, Chelang’at
collection PubMed
description KEY MESSAGE: Analysis of the genetic architecture of MCMV and MLN resistance in maize doubled-haploid populations revealed QTLs with major effects on chromosomes 3 and 6 that were consistent across genetic backgrounds and environments. Two major-effect QTLs, qMCMV3-108/qMLN3-108 and qMCMV6-17/qMLN6-17, were identified as conferring resistance to both MCMV and MLN. ABSTRACT: Maize lethal necrosis (MLN) is a serious threat to the food security of maize-growing smallholders in sub-Saharan Africa. The ability of the maize chlorotic mottle virus (MCMV) to interact with other members of the Potyviridae causes severe yield losses in the form of MLN. The objective of the present study was to gain insights and validate the genetic architecture of resistance to MCMV and MLN in maize. We applied linkage mapping to three doubled-haploid populations and a genome-wide association study (GWAS) on 380 diverse maize lines. For all the populations, phenotypic variation for MCMV and MLN was significant, and heritability was moderate to high. Linkage mapping revealed 13 quantitative trait loci (QTLs) for MCMV resistance and 12 QTLs conferring MLN resistance. One major-effect QTL, qMCMV3-108/qMLN3-108, was consistent across populations for both MCMV and MLN resistance. Joint linkage association mapping (JLAM) revealed 18 and 21 main-effect QTLs for MCMV and MLN resistance, respectively. Another major-effect QTL, qMCMV6-17/qMLN6-17, was detected for both MCMV and MLN resistance. The GWAS revealed a total of 54 SNPs (MCMV-13 and MLN-41) significantly associated (P ≤ 5.60 × 10(−05)) with MCMV and MLN resistance. Most of the GWAS-identified SNPs were within or adjacent to the QTLs detected through linkage mapping. The prediction accuracy for within populations as well as the combined populations is promising; however, the accuracy was low across populations. Overall, MCMV resistance is controlled by a few major and many minor-effect loci and seems more complex than the genetic architecture for MLN resistance. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00122-019-03360-x) contains supplementary material, which is available to authorized users.
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spelling pubmed-66471332019-08-06 Genetic architecture of maize chlorotic mottle virus and maize lethal necrosis through GWAS, linkage analysis and genomic prediction in tropical maize germplasm Sitonik, Chelang’at Suresh, L. M. Beyene, Yoseph Olsen, Michael S. Makumbi, Dan Oliver, Kiplagat Das, Biswanath Bright, Jumbo M. Mugo, Stephen Crossa, Jose Tarekegne, Amsal Prasanna, Boddupalli M. Gowda, Manje Theor Appl Genet Original Article KEY MESSAGE: Analysis of the genetic architecture of MCMV and MLN resistance in maize doubled-haploid populations revealed QTLs with major effects on chromosomes 3 and 6 that were consistent across genetic backgrounds and environments. Two major-effect QTLs, qMCMV3-108/qMLN3-108 and qMCMV6-17/qMLN6-17, were identified as conferring resistance to both MCMV and MLN. ABSTRACT: Maize lethal necrosis (MLN) is a serious threat to the food security of maize-growing smallholders in sub-Saharan Africa. The ability of the maize chlorotic mottle virus (MCMV) to interact with other members of the Potyviridae causes severe yield losses in the form of MLN. The objective of the present study was to gain insights and validate the genetic architecture of resistance to MCMV and MLN in maize. We applied linkage mapping to three doubled-haploid populations and a genome-wide association study (GWAS) on 380 diverse maize lines. For all the populations, phenotypic variation for MCMV and MLN was significant, and heritability was moderate to high. Linkage mapping revealed 13 quantitative trait loci (QTLs) for MCMV resistance and 12 QTLs conferring MLN resistance. One major-effect QTL, qMCMV3-108/qMLN3-108, was consistent across populations for both MCMV and MLN resistance. Joint linkage association mapping (JLAM) revealed 18 and 21 main-effect QTLs for MCMV and MLN resistance, respectively. Another major-effect QTL, qMCMV6-17/qMLN6-17, was detected for both MCMV and MLN resistance. The GWAS revealed a total of 54 SNPs (MCMV-13 and MLN-41) significantly associated (P ≤ 5.60 × 10(−05)) with MCMV and MLN resistance. Most of the GWAS-identified SNPs were within or adjacent to the QTLs detected through linkage mapping. The prediction accuracy for within populations as well as the combined populations is promising; however, the accuracy was low across populations. Overall, MCMV resistance is controlled by a few major and many minor-effect loci and seems more complex than the genetic architecture for MLN resistance. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00122-019-03360-x) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2019-05-16 2019 /pmc/articles/PMC6647133/ /pubmed/31098757 http://dx.doi.org/10.1007/s00122-019-03360-x Text en © The Author(s) 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Original Article
Sitonik, Chelang’at
Suresh, L. M.
Beyene, Yoseph
Olsen, Michael S.
Makumbi, Dan
Oliver, Kiplagat
Das, Biswanath
Bright, Jumbo M.
Mugo, Stephen
Crossa, Jose
Tarekegne, Amsal
Prasanna, Boddupalli M.
Gowda, Manje
Genetic architecture of maize chlorotic mottle virus and maize lethal necrosis through GWAS, linkage analysis and genomic prediction in tropical maize germplasm
title Genetic architecture of maize chlorotic mottle virus and maize lethal necrosis through GWAS, linkage analysis and genomic prediction in tropical maize germplasm
title_full Genetic architecture of maize chlorotic mottle virus and maize lethal necrosis through GWAS, linkage analysis and genomic prediction in tropical maize germplasm
title_fullStr Genetic architecture of maize chlorotic mottle virus and maize lethal necrosis through GWAS, linkage analysis and genomic prediction in tropical maize germplasm
title_full_unstemmed Genetic architecture of maize chlorotic mottle virus and maize lethal necrosis through GWAS, linkage analysis and genomic prediction in tropical maize germplasm
title_short Genetic architecture of maize chlorotic mottle virus and maize lethal necrosis through GWAS, linkage analysis and genomic prediction in tropical maize germplasm
title_sort genetic architecture of maize chlorotic mottle virus and maize lethal necrosis through gwas, linkage analysis and genomic prediction in tropical maize germplasm
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6647133/
https://www.ncbi.nlm.nih.gov/pubmed/31098757
http://dx.doi.org/10.1007/s00122-019-03360-x
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