Cargando…
Genome-wide association and genomic prediction of resistance to maize lethal necrosis disease in tropical maize germplasm
KEY MESSAGE: Genome-wide association analysis in tropical and subtropical maize germplasm revealedthatMLND resistance is influenced by multiple genomic regions with small to medium effects. ABSTRACT: The maize lethal necrosis disease (MLND) caused by synergistic interaction of Maize chlorotic mottle...
Autores principales: | , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4572053/ https://www.ncbi.nlm.nih.gov/pubmed/26152570 http://dx.doi.org/10.1007/s00122-015-2559-0 |
_version_ | 1782390384953917440 |
---|---|
author | Gowda, Manje Das, Biswanath Makumbi, Dan Babu, Raman Semagn, Kassa Mahuku, George Olsen, Michael S. Bright, Jumbo M. Beyene, Yoseph Prasanna, Boddupalli M. |
author_facet | Gowda, Manje Das, Biswanath Makumbi, Dan Babu, Raman Semagn, Kassa Mahuku, George Olsen, Michael S. Bright, Jumbo M. Beyene, Yoseph Prasanna, Boddupalli M. |
author_sort | Gowda, Manje |
collection | PubMed |
description | KEY MESSAGE: Genome-wide association analysis in tropical and subtropical maize germplasm revealedthatMLND resistance is influenced by multiple genomic regions with small to medium effects. ABSTRACT: The maize lethal necrosis disease (MLND) caused by synergistic interaction of Maize chlorotic mottle virus and Sugarcane mosaic virus, and has emerged as a serious threat to maize production in eastern Africa since 2011. Our objective was to gain insights into the genetic architecture underlying the resistance to MLND by genome-wide association study (GWAS) and genomic selection. We used two association mapping (AM) panels comprising a total of 615 diverse tropical/subtropical maize inbred lines. All the lines were evaluated against MLND under artificial inoculation. Both the panels were genotyped using genotyping-by-sequencing. Phenotypic variation for MLND resistance was significant and heritability was moderately high in both the panels. Few promising lines with high resistance to MLND were identified to be used as potential donors. GWAS revealed 24 SNPs that were significantly associated (P < 3 × 10(−5)) with MLND resistance. These SNPs are located within or adjacent to 20 putative candidate genes that are associated with plant disease resistance. Ridge regression best linear unbiased prediction with five-fold cross-validation revealed higher prediction accuracy for IMAS-AM panel (0.56) over DTMA-AM (0.36) panel. The prediction accuracy for both within and across panels is promising; inclusion of MLND resistance associated SNPs into the prediction model further improved the accuracy. Overall, the study revealed that resistance to MLND is controlled by multiple loci with small to medium effects and the SNPs identified by GWAS can be used as potential candidates in MLND resistance breeding program. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00122-015-2559-0) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4572053 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-45720532015-09-23 Genome-wide association and genomic prediction of resistance to maize lethal necrosis disease in tropical maize germplasm Gowda, Manje Das, Biswanath Makumbi, Dan Babu, Raman Semagn, Kassa Mahuku, George Olsen, Michael S. Bright, Jumbo M. Beyene, Yoseph Prasanna, Boddupalli M. Theor Appl Genet Original Article KEY MESSAGE: Genome-wide association analysis in tropical and subtropical maize germplasm revealedthatMLND resistance is influenced by multiple genomic regions with small to medium effects. ABSTRACT: The maize lethal necrosis disease (MLND) caused by synergistic interaction of Maize chlorotic mottle virus and Sugarcane mosaic virus, and has emerged as a serious threat to maize production in eastern Africa since 2011. Our objective was to gain insights into the genetic architecture underlying the resistance to MLND by genome-wide association study (GWAS) and genomic selection. We used two association mapping (AM) panels comprising a total of 615 diverse tropical/subtropical maize inbred lines. All the lines were evaluated against MLND under artificial inoculation. Both the panels were genotyped using genotyping-by-sequencing. Phenotypic variation for MLND resistance was significant and heritability was moderately high in both the panels. Few promising lines with high resistance to MLND were identified to be used as potential donors. GWAS revealed 24 SNPs that were significantly associated (P < 3 × 10(−5)) with MLND resistance. These SNPs are located within or adjacent to 20 putative candidate genes that are associated with plant disease resistance. Ridge regression best linear unbiased prediction with five-fold cross-validation revealed higher prediction accuracy for IMAS-AM panel (0.56) over DTMA-AM (0.36) panel. The prediction accuracy for both within and across panels is promising; inclusion of MLND resistance associated SNPs into the prediction model further improved the accuracy. Overall, the study revealed that resistance to MLND is controlled by multiple loci with small to medium effects and the SNPs identified by GWAS can be used as potential candidates in MLND resistance breeding program. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00122-015-2559-0) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2015-07-08 2015 /pmc/articles/PMC4572053/ /pubmed/26152570 http://dx.doi.org/10.1007/s00122-015-2559-0 Text en © The Author(s) 2015 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 Gowda, Manje Das, Biswanath Makumbi, Dan Babu, Raman Semagn, Kassa Mahuku, George Olsen, Michael S. Bright, Jumbo M. Beyene, Yoseph Prasanna, Boddupalli M. Genome-wide association and genomic prediction of resistance to maize lethal necrosis disease in tropical maize germplasm |
title | Genome-wide association and genomic prediction of resistance to maize lethal necrosis disease in tropical maize germplasm |
title_full | Genome-wide association and genomic prediction of resistance to maize lethal necrosis disease in tropical maize germplasm |
title_fullStr | Genome-wide association and genomic prediction of resistance to maize lethal necrosis disease in tropical maize germplasm |
title_full_unstemmed | Genome-wide association and genomic prediction of resistance to maize lethal necrosis disease in tropical maize germplasm |
title_short | Genome-wide association and genomic prediction of resistance to maize lethal necrosis disease in tropical maize germplasm |
title_sort | genome-wide association and genomic prediction of resistance to maize lethal necrosis disease in tropical maize germplasm |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4572053/ https://www.ncbi.nlm.nih.gov/pubmed/26152570 http://dx.doi.org/10.1007/s00122-015-2559-0 |
work_keys_str_mv | AT gowdamanje genomewideassociationandgenomicpredictionofresistancetomaizelethalnecrosisdiseaseintropicalmaizegermplasm AT dasbiswanath genomewideassociationandgenomicpredictionofresistancetomaizelethalnecrosisdiseaseintropicalmaizegermplasm AT makumbidan genomewideassociationandgenomicpredictionofresistancetomaizelethalnecrosisdiseaseintropicalmaizegermplasm AT baburaman genomewideassociationandgenomicpredictionofresistancetomaizelethalnecrosisdiseaseintropicalmaizegermplasm AT semagnkassa genomewideassociationandgenomicpredictionofresistancetomaizelethalnecrosisdiseaseintropicalmaizegermplasm AT mahukugeorge genomewideassociationandgenomicpredictionofresistancetomaizelethalnecrosisdiseaseintropicalmaizegermplasm AT olsenmichaels genomewideassociationandgenomicpredictionofresistancetomaizelethalnecrosisdiseaseintropicalmaizegermplasm AT brightjumbom genomewideassociationandgenomicpredictionofresistancetomaizelethalnecrosisdiseaseintropicalmaizegermplasm AT beyeneyoseph genomewideassociationandgenomicpredictionofresistancetomaizelethalnecrosisdiseaseintropicalmaizegermplasm AT prasannaboddupallim genomewideassociationandgenomicpredictionofresistancetomaizelethalnecrosisdiseaseintropicalmaizegermplasm |