Dataset Information

Selecting putative drought-tolerance markers in two contrasting soybeans.

ABSTRACT: 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.

SUBMITTER: Toum L

PROVIDER: S-EPMC9237119 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature

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Selecting putative drought-tolerance markers in two contrasting soybeans.

Toum Laila L Perez-Borroto Lucia Sandra LS Peña-Malavera Andrea Natalia AN Luque Catalina C Welin Bjorn B Berenstein Ariel A Fernández Do Porto Darío D Vojnov Adrian A Castagnaro Atilio Pedro AP Pardo Esteban Mariano EM

Scientific reports 20220627 1

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 v ...[more]

PMID: 35761017

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Dataset Information

Selecting putative drought-tolerance markers in two contrasting soybeans.

Publications

Selecting putative drought-tolerance markers in two contrasting soybeans.

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