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Maize Combined Insect Resistance Genomic Regions and Their Co-localization With Cell Wall Constituents Revealed by Tissue-Specific QTL Meta-Analyses

Combinatorial insect attacks on maize leaves, stems, and kernels cause significant yield losses and mycotoxin contaminations. Several small effect quantitative trait loci (QTL) control maize resistance to stem borers and storage pests and are correlated with secondary metabolites. However, efficient...

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Autores principales: Badji, Arfang, Otim, Michael, Machida, Lewis, Odong, Thomas, Kwemoi, Daniel Bomet, Okii, Dennis, Agbahoungba, Symphorien, Mwila, Natasha, Kumi, Frank, Ibanda, Angele, Mugo, Stephen, Kyamanywa, Samuel, Rubaihayo, Patrick
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6041972/
https://www.ncbi.nlm.nih.gov/pubmed/30026746
http://dx.doi.org/10.3389/fpls.2018.00895
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author Badji, Arfang
Otim, Michael
Machida, Lewis
Odong, Thomas
Kwemoi, Daniel Bomet
Okii, Dennis
Agbahoungba, Symphorien
Mwila, Natasha
Kumi, Frank
Ibanda, Angele
Mugo, Stephen
Kyamanywa, Samuel
Rubaihayo, Patrick
author_facet Badji, Arfang
Otim, Michael
Machida, Lewis
Odong, Thomas
Kwemoi, Daniel Bomet
Okii, Dennis
Agbahoungba, Symphorien
Mwila, Natasha
Kumi, Frank
Ibanda, Angele
Mugo, Stephen
Kyamanywa, Samuel
Rubaihayo, Patrick
author_sort Badji, Arfang
collection PubMed
description Combinatorial insect attacks on maize leaves, stems, and kernels cause significant yield losses and mycotoxin contaminations. Several small effect quantitative trait loci (QTL) control maize resistance to stem borers and storage pests and are correlated with secondary metabolites. However, efficient use of QTL in molecular breeding requires a synthesis of the available resistance information. In this study, separate meta-analyses of QTL of maize response to stem borers and storage pests feeding on leaves, stems, and kernels along with maize cell wall constituents discovered in these tissues generated 24 leaf (LIR), 42 stem (SIR), and 20 kernel (KIR) insect resistance meta-QTL (MQTL) of a diverse genetic and geographical background. Most of these MQTL involved resistance to several insect species, therefore, generating a significant interest for multiple-insect resistance breeding. Some of the LIR MQTL such as LIR4, 17, and 22 involve resistance to European corn borer, sugarcane borer, and southwestern corn borer. Eleven out of the 42 SIR MQTL related to resistance to European corn borer and Mediterranean corn borer. There KIR MQTL, KIR3, 15, and 16 combined resistance to kernel damage by the maize weevil and the Mediterranean corn borer and could be used in breeding to reduce insect-related post-harvest grain yield loss and field to storage mycotoxin contamination. This meta-analysis corroborates the significant role played by cell wall constituents in maize resistance to insect since the majority of the MQTL contain QTL for members of the hydroxycinnamates group such as p-coumaric acid, ferulic acid, and other diferulates and derivates, and fiber components such as acid detergent fiber, neutral detergent fiber, and lignin. Stem insect resistance MQTL display several co-localization between fiber and hydroxycinnamate components corroborating the hypothesis of cross-linking between these components that provide mechanical resistance to insect attacks. Our results highlight the existence of combined-insect resistance genomic regions in maize and set the basis of multiple-pests resistance breeding.
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spelling pubmed-60419722018-07-19 Maize Combined Insect Resistance Genomic Regions and Their Co-localization With Cell Wall Constituents Revealed by Tissue-Specific QTL Meta-Analyses Badji, Arfang Otim, Michael Machida, Lewis Odong, Thomas Kwemoi, Daniel Bomet Okii, Dennis Agbahoungba, Symphorien Mwila, Natasha Kumi, Frank Ibanda, Angele Mugo, Stephen Kyamanywa, Samuel Rubaihayo, Patrick Front Plant Sci Plant Science Combinatorial insect attacks on maize leaves, stems, and kernels cause significant yield losses and mycotoxin contaminations. Several small effect quantitative trait loci (QTL) control maize resistance to stem borers and storage pests and are correlated with secondary metabolites. However, efficient use of QTL in molecular breeding requires a synthesis of the available resistance information. In this study, separate meta-analyses of QTL of maize response to stem borers and storage pests feeding on leaves, stems, and kernels along with maize cell wall constituents discovered in these tissues generated 24 leaf (LIR), 42 stem (SIR), and 20 kernel (KIR) insect resistance meta-QTL (MQTL) of a diverse genetic and geographical background. Most of these MQTL involved resistance to several insect species, therefore, generating a significant interest for multiple-insect resistance breeding. Some of the LIR MQTL such as LIR4, 17, and 22 involve resistance to European corn borer, sugarcane borer, and southwestern corn borer. Eleven out of the 42 SIR MQTL related to resistance to European corn borer and Mediterranean corn borer. There KIR MQTL, KIR3, 15, and 16 combined resistance to kernel damage by the maize weevil and the Mediterranean corn borer and could be used in breeding to reduce insect-related post-harvest grain yield loss and field to storage mycotoxin contamination. This meta-analysis corroborates the significant role played by cell wall constituents in maize resistance to insect since the majority of the MQTL contain QTL for members of the hydroxycinnamates group such as p-coumaric acid, ferulic acid, and other diferulates and derivates, and fiber components such as acid detergent fiber, neutral detergent fiber, and lignin. Stem insect resistance MQTL display several co-localization between fiber and hydroxycinnamate components corroborating the hypothesis of cross-linking between these components that provide mechanical resistance to insect attacks. Our results highlight the existence of combined-insect resistance genomic regions in maize and set the basis of multiple-pests resistance breeding. Frontiers Media S.A. 2018-07-05 /pmc/articles/PMC6041972/ /pubmed/30026746 http://dx.doi.org/10.3389/fpls.2018.00895 Text en Copyright © 2018 Badji, Otim, Machida, Odong, Kwemoi, Okii, Agbahoungba, Mwila, Kumi, Ibanda, Mugo, Kyamanywa and Rubaihayo. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Plant Science
Badji, Arfang
Otim, Michael
Machida, Lewis
Odong, Thomas
Kwemoi, Daniel Bomet
Okii, Dennis
Agbahoungba, Symphorien
Mwila, Natasha
Kumi, Frank
Ibanda, Angele
Mugo, Stephen
Kyamanywa, Samuel
Rubaihayo, Patrick
Maize Combined Insect Resistance Genomic Regions and Their Co-localization With Cell Wall Constituents Revealed by Tissue-Specific QTL Meta-Analyses
title Maize Combined Insect Resistance Genomic Regions and Their Co-localization With Cell Wall Constituents Revealed by Tissue-Specific QTL Meta-Analyses
title_full Maize Combined Insect Resistance Genomic Regions and Their Co-localization With Cell Wall Constituents Revealed by Tissue-Specific QTL Meta-Analyses
title_fullStr Maize Combined Insect Resistance Genomic Regions and Their Co-localization With Cell Wall Constituents Revealed by Tissue-Specific QTL Meta-Analyses
title_full_unstemmed Maize Combined Insect Resistance Genomic Regions and Their Co-localization With Cell Wall Constituents Revealed by Tissue-Specific QTL Meta-Analyses
title_short Maize Combined Insect Resistance Genomic Regions and Their Co-localization With Cell Wall Constituents Revealed by Tissue-Specific QTL Meta-Analyses
title_sort maize combined insect resistance genomic regions and their co-localization with cell wall constituents revealed by tissue-specific qtl meta-analyses
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6041972/
https://www.ncbi.nlm.nih.gov/pubmed/30026746
http://dx.doi.org/10.3389/fpls.2018.00895
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