Cargando…
Validation and Characterization of Maize Multiple Disease Resistance QTL
Southern Leaf Blight, Northern Leaf Blight, and Gray Leaf Spot, caused by ascomycete fungi, are among the most important foliar diseases of maize worldwide. Previously, disease resistance quantitative trait loci (QTL) for all three diseases were identified in a connected set of chromosome segment su...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Genetics Society of America
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6723135/ https://www.ncbi.nlm.nih.gov/pubmed/31300480 http://dx.doi.org/10.1534/g3.119.400195 |
_version_ | 1783448698625196032 |
---|---|
author | Martins, Lais B. Rucker, Elizabeth Thomason, Wade Wisser, Randall J. Holland, James B. Balint-Kurti, Peter |
author_facet | Martins, Lais B. Rucker, Elizabeth Thomason, Wade Wisser, Randall J. Holland, James B. Balint-Kurti, Peter |
author_sort | Martins, Lais B. |
collection | PubMed |
description | Southern Leaf Blight, Northern Leaf Blight, and Gray Leaf Spot, caused by ascomycete fungi, are among the most important foliar diseases of maize worldwide. Previously, disease resistance quantitative trait loci (QTL) for all three diseases were identified in a connected set of chromosome segment substitution line (CSSL) populations designed for the identification of disease resistance QTL. Some QTL for different diseases co-localized, indicating the presence of multiple disease resistance (MDR) QTL. The goal of this study was to perform an independent test of several of the MDR QTL identified to confirm their existence and derive a more precise estimate of allele additive and dominance effects. Twelve F(2:3) family populations were produced, in which selected QTL were segregating in an otherwise uniform genetic background. The populations were assessed for each of the three diseases in replicated trials and genotyped with markers previously associated with disease resistance. Pairwise phenotypic correlations across all the populations for resistance to the three diseases ranged from 0.2 to 0.3 and were all significant at the alpha level of 0.01. Of the 44 QTL tested, 16 were validated (identified at the same genomic location for the same disease or diseases) and several novel QTL/disease associations were found. Two MDR QTL were associated with resistance to all three diseases. This study identifies several potentially important MDR QTL and demonstrates the importance of independently evaluating QTL effects following their initial identification. |
format | Online Article Text |
id | pubmed-6723135 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Genetics Society of America |
record_format | MEDLINE/PubMed |
spelling | pubmed-67231352019-09-17 Validation and Characterization of Maize Multiple Disease Resistance QTL Martins, Lais B. Rucker, Elizabeth Thomason, Wade Wisser, Randall J. Holland, James B. Balint-Kurti, Peter G3 (Bethesda) Genetics Of Immunity Southern Leaf Blight, Northern Leaf Blight, and Gray Leaf Spot, caused by ascomycete fungi, are among the most important foliar diseases of maize worldwide. Previously, disease resistance quantitative trait loci (QTL) for all three diseases were identified in a connected set of chromosome segment substitution line (CSSL) populations designed for the identification of disease resistance QTL. Some QTL for different diseases co-localized, indicating the presence of multiple disease resistance (MDR) QTL. The goal of this study was to perform an independent test of several of the MDR QTL identified to confirm their existence and derive a more precise estimate of allele additive and dominance effects. Twelve F(2:3) family populations were produced, in which selected QTL were segregating in an otherwise uniform genetic background. The populations were assessed for each of the three diseases in replicated trials and genotyped with markers previously associated with disease resistance. Pairwise phenotypic correlations across all the populations for resistance to the three diseases ranged from 0.2 to 0.3 and were all significant at the alpha level of 0.01. Of the 44 QTL tested, 16 were validated (identified at the same genomic location for the same disease or diseases) and several novel QTL/disease associations were found. Two MDR QTL were associated with resistance to all three diseases. This study identifies several potentially important MDR QTL and demonstrates the importance of independently evaluating QTL effects following their initial identification. Genetics Society of America 2019-07-12 /pmc/articles/PMC6723135/ /pubmed/31300480 http://dx.doi.org/10.1534/g3.119.400195 Text en Copyright © 2019 Martins et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article 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 the original work is properly cited. |
spellingShingle | Genetics Of Immunity Martins, Lais B. Rucker, Elizabeth Thomason, Wade Wisser, Randall J. Holland, James B. Balint-Kurti, Peter Validation and Characterization of Maize Multiple Disease Resistance QTL |
title | Validation and Characterization of Maize Multiple Disease Resistance QTL |
title_full | Validation and Characterization of Maize Multiple Disease Resistance QTL |
title_fullStr | Validation and Characterization of Maize Multiple Disease Resistance QTL |
title_full_unstemmed | Validation and Characterization of Maize Multiple Disease Resistance QTL |
title_short | Validation and Characterization of Maize Multiple Disease Resistance QTL |
title_sort | validation and characterization of maize multiple disease resistance qtl |
topic | Genetics Of Immunity |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6723135/ https://www.ncbi.nlm.nih.gov/pubmed/31300480 http://dx.doi.org/10.1534/g3.119.400195 |
work_keys_str_mv | AT martinslaisb validationandcharacterizationofmaizemultiplediseaseresistanceqtl AT ruckerelizabeth validationandcharacterizationofmaizemultiplediseaseresistanceqtl AT thomasonwade validationandcharacterizationofmaizemultiplediseaseresistanceqtl AT wisserrandallj validationandcharacterizationofmaizemultiplediseaseresistanceqtl AT hollandjamesb validationandcharacterizationofmaizemultiplediseaseresistanceqtl AT balintkurtipeter validationandcharacterizationofmaizemultiplediseaseresistanceqtl |