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Discovery and validation of genomic regions associated with resistance to maize lethal necrosis in four biparental populations
In sub-Saharan Africa, maize is the key determinant of food security for smallholder farmers. The sudden outbreak of maize lethal necrosis (MLN) disease is seriously threatening the maize production in the region. Understanding the genetic basis of MLN resistance is crucial. In this study, we used f...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5945787/ https://www.ncbi.nlm.nih.gov/pubmed/29773962 http://dx.doi.org/10.1007/s11032-018-0829-7 |
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author | Gowda, Manje Beyene, Yoseph Makumbi, Dan Semagn, Kassa Olsen, Michael S. Bright, Jumbo M. Das, Biswanath Mugo, Stephen Suresh, L. M. Prasanna, Boddupalli M. |
author_facet | Gowda, Manje Beyene, Yoseph Makumbi, Dan Semagn, Kassa Olsen, Michael S. Bright, Jumbo M. Das, Biswanath Mugo, Stephen Suresh, L. M. Prasanna, Boddupalli M. |
author_sort | Gowda, Manje |
collection | PubMed |
description | In sub-Saharan Africa, maize is the key determinant of food security for smallholder farmers. The sudden outbreak of maize lethal necrosis (MLN) disease is seriously threatening the maize production in the region. Understanding the genetic basis of MLN resistance is crucial. In this study, we used four biparental populations applied linkage mapping and joint linkage mapping approaches to identify and validate the MLN resistance-associated genomic regions. All populations were genotyped with low to high density markers and phenotyped in multiple environments against MLN under artificial inoculation. Phenotypic variation for MLN resistance was significant and heritability was moderate to high in all four populations for both early and late stages of disease infection. Linkage mapping revealed three major quantitative trait loci (QTL) on chromosomes 3, 6, and 9 that were consistently detected in at least two of the four populations. Phenotypic variance explained by a single QTL in each population ranged from 3.9% in population 1 to 43.8% in population 2. Joint linkage association mapping across three populations with three biometric models together revealed 16 and 10 main effect QTL for MLN-early and MLN-late, respectively. The QTL identified on chromosomes 3, 5, 6, and 9 were consistent with the QTL identified by linkage mapping. Ridge regression best linear unbiased prediction with five-fold cross-validation revealed high accuracy for prediction across populations for both MLN-early and MLN-late. Overall, the study discovered and validated the presence of major effect QTL on chromosomes 3, 6, and 9 which can be potential candidates for marker-assisted breeding to improve the MLN resistance. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s11032-018-0829-7) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5945787 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-59457872018-05-15 Discovery and validation of genomic regions associated with resistance to maize lethal necrosis in four biparental populations Gowda, Manje Beyene, Yoseph Makumbi, Dan Semagn, Kassa Olsen, Michael S. Bright, Jumbo M. Das, Biswanath Mugo, Stephen Suresh, L. M. Prasanna, Boddupalli M. Mol Breed Article In sub-Saharan Africa, maize is the key determinant of food security for smallholder farmers. The sudden outbreak of maize lethal necrosis (MLN) disease is seriously threatening the maize production in the region. Understanding the genetic basis of MLN resistance is crucial. In this study, we used four biparental populations applied linkage mapping and joint linkage mapping approaches to identify and validate the MLN resistance-associated genomic regions. All populations were genotyped with low to high density markers and phenotyped in multiple environments against MLN under artificial inoculation. Phenotypic variation for MLN resistance was significant and heritability was moderate to high in all four populations for both early and late stages of disease infection. Linkage mapping revealed three major quantitative trait loci (QTL) on chromosomes 3, 6, and 9 that were consistently detected in at least two of the four populations. Phenotypic variance explained by a single QTL in each population ranged from 3.9% in population 1 to 43.8% in population 2. Joint linkage association mapping across three populations with three biometric models together revealed 16 and 10 main effect QTL for MLN-early and MLN-late, respectively. The QTL identified on chromosomes 3, 5, 6, and 9 were consistent with the QTL identified by linkage mapping. Ridge regression best linear unbiased prediction with five-fold cross-validation revealed high accuracy for prediction across populations for both MLN-early and MLN-late. Overall, the study discovered and validated the presence of major effect QTL on chromosomes 3, 6, and 9 which can be potential candidates for marker-assisted breeding to improve the MLN resistance. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s11032-018-0829-7) contains supplementary material, which is available to authorized users. Springer Netherlands 2018-05-10 2018 /pmc/articles/PMC5945787/ /pubmed/29773962 http://dx.doi.org/10.1007/s11032-018-0829-7 Text en © The Author(s) 2018 Open Access This 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 | Article Gowda, Manje Beyene, Yoseph Makumbi, Dan Semagn, Kassa Olsen, Michael S. Bright, Jumbo M. Das, Biswanath Mugo, Stephen Suresh, L. M. Prasanna, Boddupalli M. Discovery and validation of genomic regions associated with resistance to maize lethal necrosis in four biparental populations |
title | Discovery and validation of genomic regions associated with resistance to maize lethal necrosis in four biparental populations |
title_full | Discovery and validation of genomic regions associated with resistance to maize lethal necrosis in four biparental populations |
title_fullStr | Discovery and validation of genomic regions associated with resistance to maize lethal necrosis in four biparental populations |
title_full_unstemmed | Discovery and validation of genomic regions associated with resistance to maize lethal necrosis in four biparental populations |
title_short | Discovery and validation of genomic regions associated with resistance to maize lethal necrosis in four biparental populations |
title_sort | discovery and validation of genomic regions associated with resistance to maize lethal necrosis in four biparental populations |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5945787/ https://www.ncbi.nlm.nih.gov/pubmed/29773962 http://dx.doi.org/10.1007/s11032-018-0829-7 |
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