Multi-trait and multi-environment QTL analyses for resistance to wheat diseases

Background: Stripe rust, leaf rust, tan spot, and Karnal bunt are economically significant diseases impacting wheat production. The objectives of this study were to identify quantitative trait loci for resistance to these diseases in a recombinant inbred line (RIL) from a cross HD29/WH542, and to evaluate the evidence for the presence loci on chromosome region conferring multiple disease resistance. Methodology/Principal Findings: The RIL population was evaluated for four diseases and genotyped with DNA markers. Multi-trait (MT) analysis revealed thirteen QTLs on nine chromosomes, significantly associateed with resistance. Phenotypic variation explained by all significant QTLs for KB, TS, Yr, Lr diseases were 57%, 55%, 38% and 22%, respectively. Marginal trait analysis identified the most significant QTLs for resistance to KB on chromosomes 1BS, 2DS, 3BS, 4BL, 5BL, and 5DL. Chromosomes 3AS and 4BL showed significant association with TS resistance. Significant QTLs for Yr resistance were identified on chromosomes 2AS, 4BL and 5BL, while Lr was significant on 6DS. MT analysis revealed that all the QTLs except 3BL significantly reduce KB and was contributed from parent HD29 while all resistant QTLs for TS except on chromosomes 2DS.1, 2DS.2 and 3BL came from WH542. Five resistant QTLs for Yr and six for Lr were contributed from parents WH542 and HD29 respectively. Chromosome region on 4BL showed significant association to KB, TS, and Yr in the population. The multi environment analysis for KB identified three putative QTLs of which two new QTLs, mapped on chromosomes 3BS and 5DL explained 10 and 20% of the phenotypic variation, respectively. Conclusions/Significance: This study revealed that MT analysis is an effective tool for detection of multi-trait QTLs for disease resistance. This approach is a more effective and practical than individual QTL mapping analyses. MT analysis identified RILs that combine resistance to multiple diseases from parents WH542 and/or HD29.

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Main Authors: Sukhwinder-Singh, Hernandez, M.V., Crossa, J., Singh, P.K., Bains, N., Singh, K., Sharma, I.
Format: Article biblioteca
Language:English
Published: Public Library of Science 2012
Subjects:AGRICULTURAL SCIENCES AND BIOTECHNOLOGY, WHEAT, RUSTS, DISEASE RESISTANCE, QUANTITATIVE TRAIT LOCI,
Online Access:http://hdl.handle.net/10883/1884
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spelling dig-cimmyt-10883-18842024-03-25T19:12:54Z Multi-trait and multi-environment QTL analyses for resistance to wheat diseases Sukhwinder-Singh Hernandez, M.V. Crossa, J. Singh, P.K. Bains, N. Singh, K. Sharma, I. AGRICULTURAL SCIENCES AND BIOTECHNOLOGY WHEAT RUSTS DISEASE RESISTANCE QUANTITATIVE TRAIT LOCI Background: Stripe rust, leaf rust, tan spot, and Karnal bunt are economically significant diseases impacting wheat production. The objectives of this study were to identify quantitative trait loci for resistance to these diseases in a recombinant inbred line (RIL) from a cross HD29/WH542, and to evaluate the evidence for the presence loci on chromosome region conferring multiple disease resistance. Methodology/Principal Findings: The RIL population was evaluated for four diseases and genotyped with DNA markers. Multi-trait (MT) analysis revealed thirteen QTLs on nine chromosomes, significantly associateed with resistance. Phenotypic variation explained by all significant QTLs for KB, TS, Yr, Lr diseases were 57%, 55%, 38% and 22%, respectively. Marginal trait analysis identified the most significant QTLs for resistance to KB on chromosomes 1BS, 2DS, 3BS, 4BL, 5BL, and 5DL. Chromosomes 3AS and 4BL showed significant association with TS resistance. Significant QTLs for Yr resistance were identified on chromosomes 2AS, 4BL and 5BL, while Lr was significant on 6DS. MT analysis revealed that all the QTLs except 3BL significantly reduce KB and was contributed from parent HD29 while all resistant QTLs for TS except on chromosomes 2DS.1, 2DS.2 and 3BL came from WH542. Five resistant QTLs for Yr and six for Lr were contributed from parents WH542 and HD29 respectively. Chromosome region on 4BL showed significant association to KB, TS, and Yr in the population. The multi environment analysis for KB identified three putative QTLs of which two new QTLs, mapped on chromosomes 3BS and 5DL explained 10 and 20% of the phenotypic variation, respectively. Conclusions/Significance: This study revealed that MT analysis is an effective tool for detection of multi-trait QTLs for disease resistance. This approach is a more effective and practical than individual QTL mapping analyses. MT analysis identified RILs that combine resistance to multiple diseases from parents WH542 and/or HD29. 2013-06-07T21:02:52Z 2013-06-07T21:02:52Z 2012 Article 1932-6203 http://hdl.handle.net/10883/1884 10.1371/journal.pone.0038008 English CIMMYT manages Intellectual Assets as International Public Goods. The user is free to download, print, store and share this work. In case you want to translate or create any other derivative work and share or distribute such translation/derivative work, please contact CIMMYT-Knowledge-Center@cgiar.org indicating the work you want to use and the kind of use you intend; CIMMYT will contact you with the suitable license for that purpose. Open Access PDF Public Library of Science 6 7 e38008 PLoS ONE
institution CIMMYT
collection DSpace
country México
countrycode MX
component Bibliográfico
access En linea
databasecode dig-cimmyt
tag biblioteca
region America del Norte
libraryname CIMMYT Library
language English
topic AGRICULTURAL SCIENCES AND BIOTECHNOLOGY
WHEAT
RUSTS
DISEASE RESISTANCE
QUANTITATIVE TRAIT LOCI
AGRICULTURAL SCIENCES AND BIOTECHNOLOGY
WHEAT
RUSTS
DISEASE RESISTANCE
QUANTITATIVE TRAIT LOCI
spellingShingle AGRICULTURAL SCIENCES AND BIOTECHNOLOGY
WHEAT
RUSTS
DISEASE RESISTANCE
QUANTITATIVE TRAIT LOCI
AGRICULTURAL SCIENCES AND BIOTECHNOLOGY
WHEAT
RUSTS
DISEASE RESISTANCE
QUANTITATIVE TRAIT LOCI
Sukhwinder-Singh
Hernandez, M.V.
Crossa, J.
Singh, P.K.
Bains, N.
Singh, K.
Sharma, I.
Multi-trait and multi-environment QTL analyses for resistance to wheat diseases
description Background: Stripe rust, leaf rust, tan spot, and Karnal bunt are economically significant diseases impacting wheat production. The objectives of this study were to identify quantitative trait loci for resistance to these diseases in a recombinant inbred line (RIL) from a cross HD29/WH542, and to evaluate the evidence for the presence loci on chromosome region conferring multiple disease resistance. Methodology/Principal Findings: The RIL population was evaluated for four diseases and genotyped with DNA markers. Multi-trait (MT) analysis revealed thirteen QTLs on nine chromosomes, significantly associateed with resistance. Phenotypic variation explained by all significant QTLs for KB, TS, Yr, Lr diseases were 57%, 55%, 38% and 22%, respectively. Marginal trait analysis identified the most significant QTLs for resistance to KB on chromosomes 1BS, 2DS, 3BS, 4BL, 5BL, and 5DL. Chromosomes 3AS and 4BL showed significant association with TS resistance. Significant QTLs for Yr resistance were identified on chromosomes 2AS, 4BL and 5BL, while Lr was significant on 6DS. MT analysis revealed that all the QTLs except 3BL significantly reduce KB and was contributed from parent HD29 while all resistant QTLs for TS except on chromosomes 2DS.1, 2DS.2 and 3BL came from WH542. Five resistant QTLs for Yr and six for Lr were contributed from parents WH542 and HD29 respectively. Chromosome region on 4BL showed significant association to KB, TS, and Yr in the population. The multi environment analysis for KB identified three putative QTLs of which two new QTLs, mapped on chromosomes 3BS and 5DL explained 10 and 20% of the phenotypic variation, respectively. Conclusions/Significance: This study revealed that MT analysis is an effective tool for detection of multi-trait QTLs for disease resistance. This approach is a more effective and practical than individual QTL mapping analyses. MT analysis identified RILs that combine resistance to multiple diseases from parents WH542 and/or HD29.
format Article
topic_facet AGRICULTURAL SCIENCES AND BIOTECHNOLOGY
WHEAT
RUSTS
DISEASE RESISTANCE
QUANTITATIVE TRAIT LOCI
author Sukhwinder-Singh
Hernandez, M.V.
Crossa, J.
Singh, P.K.
Bains, N.
Singh, K.
Sharma, I.
author_facet Sukhwinder-Singh
Hernandez, M.V.
Crossa, J.
Singh, P.K.
Bains, N.
Singh, K.
Sharma, I.
author_sort Sukhwinder-Singh
title Multi-trait and multi-environment QTL analyses for resistance to wheat diseases
title_short Multi-trait and multi-environment QTL analyses for resistance to wheat diseases
title_full Multi-trait and multi-environment QTL analyses for resistance to wheat diseases
title_fullStr Multi-trait and multi-environment QTL analyses for resistance to wheat diseases
title_full_unstemmed Multi-trait and multi-environment QTL analyses for resistance to wheat diseases
title_sort multi-trait and multi-environment qtl analyses for resistance to wheat diseases
publisher Public Library of Science
publishDate 2012
url http://hdl.handle.net/10883/1884
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