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Metabolome Profiling: A Breeding Prediction Tool for Legume Performance under Biotic Stress Conditions

Legume crops such as common bean, pea, alfalfa, cowpea, peanut, soybean and others contribute significantly to the diet of both humans and animals. They are also important in the improvement of cropping systems that employ rotation and fix atmospheric nitrogen. Biotic stresses hinder the production...

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Autores principales: Makhumbila, Penny, Rauwane, Molemi, Muedi, Hangwani, Figlan, Sandiswa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9268993/
https://www.ncbi.nlm.nih.gov/pubmed/35807708
http://dx.doi.org/10.3390/plants11131756
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author Makhumbila, Penny
Rauwane, Molemi
Muedi, Hangwani
Figlan, Sandiswa
author_facet Makhumbila, Penny
Rauwane, Molemi
Muedi, Hangwani
Figlan, Sandiswa
author_sort Makhumbila, Penny
collection PubMed
description Legume crops such as common bean, pea, alfalfa, cowpea, peanut, soybean and others contribute significantly to the diet of both humans and animals. They are also important in the improvement of cropping systems that employ rotation and fix atmospheric nitrogen. Biotic stresses hinder the production of leguminous crops, significantly limiting their yield potential. There is a need to understand the molecular and biochemical mechanisms involved in the response of these crops to biotic stressors. Simultaneous expressions of a number of genes responsible for specific traits of interest in legumes under biotic stress conditions have been reported, often with the functions of the identified genes unknown. Metabolomics can, therefore, be a complementary tool to understand the pathways involved in biotic stress response in legumes. Reports on legume metabolomic studies in response to biotic stress have paved the way in understanding stress-signalling pathways. This review provides a progress update on metabolomic studies of legumes in response to different biotic stresses. Metabolome annotation and data analysis platforms are discussed together with future prospects. The integration of metabolomics with other “omics” tools in breeding programmes can aid greatly in ensuring food security through the production of stress tolerant cultivars.
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spelling pubmed-92689932022-07-09 Metabolome Profiling: A Breeding Prediction Tool for Legume Performance under Biotic Stress Conditions Makhumbila, Penny Rauwane, Molemi Muedi, Hangwani Figlan, Sandiswa Plants (Basel) Review Legume crops such as common bean, pea, alfalfa, cowpea, peanut, soybean and others contribute significantly to the diet of both humans and animals. They are also important in the improvement of cropping systems that employ rotation and fix atmospheric nitrogen. Biotic stresses hinder the production of leguminous crops, significantly limiting their yield potential. There is a need to understand the molecular and biochemical mechanisms involved in the response of these crops to biotic stressors. Simultaneous expressions of a number of genes responsible for specific traits of interest in legumes under biotic stress conditions have been reported, often with the functions of the identified genes unknown. Metabolomics can, therefore, be a complementary tool to understand the pathways involved in biotic stress response in legumes. Reports on legume metabolomic studies in response to biotic stress have paved the way in understanding stress-signalling pathways. This review provides a progress update on metabolomic studies of legumes in response to different biotic stresses. Metabolome annotation and data analysis platforms are discussed together with future prospects. The integration of metabolomics with other “omics” tools in breeding programmes can aid greatly in ensuring food security through the production of stress tolerant cultivars. MDPI 2022-07-01 /pmc/articles/PMC9268993/ /pubmed/35807708 http://dx.doi.org/10.3390/plants11131756 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Makhumbila, Penny
Rauwane, Molemi
Muedi, Hangwani
Figlan, Sandiswa
Metabolome Profiling: A Breeding Prediction Tool for Legume Performance under Biotic Stress Conditions
title Metabolome Profiling: A Breeding Prediction Tool for Legume Performance under Biotic Stress Conditions
title_full Metabolome Profiling: A Breeding Prediction Tool for Legume Performance under Biotic Stress Conditions
title_fullStr Metabolome Profiling: A Breeding Prediction Tool for Legume Performance under Biotic Stress Conditions
title_full_unstemmed Metabolome Profiling: A Breeding Prediction Tool for Legume Performance under Biotic Stress Conditions
title_short Metabolome Profiling: A Breeding Prediction Tool for Legume Performance under Biotic Stress Conditions
title_sort metabolome profiling: a breeding prediction tool for legume performance under biotic stress conditions
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9268993/
https://www.ncbi.nlm.nih.gov/pubmed/35807708
http://dx.doi.org/10.3390/plants11131756
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