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Selecting putative drought-tolerance markers in two contrasting soybeans

Identifying high-yield genotypes under low water availability is essential for soybean climate-smart breeding. However, a major bottleneck lies in phenotyping, particularly in selecting cost-efficient markers associated with stress tolerance and yield stabilization. Here, we conducted in-depth pheno...

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Autores principales: Toum, Laila, Perez-Borroto, Lucia Sandra, Peña-Malavera, Andrea Natalia, Luque, Catalina, Welin, Bjorn, Berenstein, Ariel, Fernández Do Porto, Darío, Vojnov, Adrian, Castagnaro, Atilio Pedro, Pardo, Esteban Mariano
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9237119/
https://www.ncbi.nlm.nih.gov/pubmed/35761017
http://dx.doi.org/10.1038/s41598-022-14334-3
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author Toum, Laila
Perez-Borroto, Lucia Sandra
Peña-Malavera, Andrea Natalia
Luque, Catalina
Welin, Bjorn
Berenstein, Ariel
Fernández Do Porto, Darío
Vojnov, Adrian
Castagnaro, Atilio Pedro
Pardo, Esteban Mariano
author_facet Toum, Laila
Perez-Borroto, Lucia Sandra
Peña-Malavera, Andrea Natalia
Luque, Catalina
Welin, Bjorn
Berenstein, Ariel
Fernández Do Porto, Darío
Vojnov, Adrian
Castagnaro, Atilio Pedro
Pardo, Esteban Mariano
author_sort Toum, Laila
collection PubMed
description Identifying high-yield genotypes under low water availability is essential for soybean climate-smart breeding. However, a major bottleneck lies in phenotyping, particularly in selecting cost-efficient markers associated with stress tolerance and yield stabilization. Here, we conducted in-depth phenotyping experiments in two soybean genotypes with contrasting drought tolerance, MUNASQA (tolerant) and TJ2049 (susceptible), to better understand soybean stress physiology and identify/statistically validate drought-tolerance and yield-stabilization traits as potential breeding markers. Firstly, at the critical reproductive stage (R5), the molecular differences between the genotype’s responses to mild water deficit were explored through massive analysis of cDNA ends (MACE)-transcriptomic and gene ontology. MUNASQA transcriptional profile, compared to TJ2049, revealed significant differences when responding to drought. Next, both genotypes were phenotyped under mild water deficit, imposed in vegetative (V3) and R5 stages, by evaluating 22 stress-response, growth, and water-use markers, which were subsequently correlated between phenological stages and with yield. Several markers showed high consistency, independent of the phenological stage, demonstrating the effectiveness of the phenotyping methodology and its possible use for early selection. Finally, these markers were classified and selected according to their cost-feasibility, statistical weight, and correlation with yield. Here, pubescence, stomatal density, and canopy temperature depression emerged as promising breeding markers for the early selection of drought-tolerant soybeans.
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spelling pubmed-92371192022-06-29 Selecting putative drought-tolerance markers in two contrasting soybeans Toum, Laila Perez-Borroto, Lucia Sandra Peña-Malavera, Andrea Natalia Luque, Catalina Welin, Bjorn Berenstein, Ariel Fernández Do Porto, Darío Vojnov, Adrian Castagnaro, Atilio Pedro Pardo, Esteban Mariano Sci Rep Article Identifying high-yield genotypes under low water availability is essential for soybean climate-smart breeding. However, a major bottleneck lies in phenotyping, particularly in selecting cost-efficient markers associated with stress tolerance and yield stabilization. Here, we conducted in-depth phenotyping experiments in two soybean genotypes with contrasting drought tolerance, MUNASQA (tolerant) and TJ2049 (susceptible), to better understand soybean stress physiology and identify/statistically validate drought-tolerance and yield-stabilization traits as potential breeding markers. Firstly, at the critical reproductive stage (R5), the molecular differences between the genotype’s responses to mild water deficit were explored through massive analysis of cDNA ends (MACE)-transcriptomic and gene ontology. MUNASQA transcriptional profile, compared to TJ2049, revealed significant differences when responding to drought. Next, both genotypes were phenotyped under mild water deficit, imposed in vegetative (V3) and R5 stages, by evaluating 22 stress-response, growth, and water-use markers, which were subsequently correlated between phenological stages and with yield. Several markers showed high consistency, independent of the phenological stage, demonstrating the effectiveness of the phenotyping methodology and its possible use for early selection. Finally, these markers were classified and selected according to their cost-feasibility, statistical weight, and correlation with yield. Here, pubescence, stomatal density, and canopy temperature depression emerged as promising breeding markers for the early selection of drought-tolerant soybeans. Nature Publishing Group UK 2022-06-27 /pmc/articles/PMC9237119/ /pubmed/35761017 http://dx.doi.org/10.1038/s41598-022-14334-3 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Toum, Laila
Perez-Borroto, Lucia Sandra
Peña-Malavera, Andrea Natalia
Luque, Catalina
Welin, Bjorn
Berenstein, Ariel
Fernández Do Porto, Darío
Vojnov, Adrian
Castagnaro, Atilio Pedro
Pardo, Esteban Mariano
Selecting putative drought-tolerance markers in two contrasting soybeans
title Selecting putative drought-tolerance markers in two contrasting soybeans
title_full Selecting putative drought-tolerance markers in two contrasting soybeans
title_fullStr Selecting putative drought-tolerance markers in two contrasting soybeans
title_full_unstemmed Selecting putative drought-tolerance markers in two contrasting soybeans
title_short Selecting putative drought-tolerance markers in two contrasting soybeans
title_sort selecting putative drought-tolerance markers in two contrasting soybeans
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9237119/
https://www.ncbi.nlm.nih.gov/pubmed/35761017
http://dx.doi.org/10.1038/s41598-022-14334-3
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