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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.
Afiliación
  • Toum L; Instituto de Tecnología Agroindustrial del Noroeste Argentino, Estación Experimental Agroindustrial Obispo Colombres- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), William Cross 3150, Las Talitas, Tucumán, Argentina.
  • Perez-Borroto LS; Plant Breeding, Wageningen University & Research, 6708 PB, Wageningen, The Netherlands.
  • Peña-Malavera AN; Centro de Bioplantas, Universidad de Ciego de Ávila "Máximo Gómez Báez", Road to Morón 9 ½ Km, Ciego de Ávila, Cuba.
  • Luque C; Instituto de Tecnología Agroindustrial del Noroeste Argentino, Estación Experimental Agroindustrial Obispo Colombres- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), William Cross 3150, Las Talitas, Tucumán, Argentina.
  • Welin B; Cátedra de Anatomía Vegetal. Facultad de Ciencias Naturales E IML, Universidad Nacional de Tucumán, Miguel Lillo 205, San Miguel de Tucumán, Tucumán, Argentina.
  • Berenstein A; Instituto de Tecnología Agroindustrial del Noroeste Argentino, Estación Experimental Agroindustrial Obispo Colombres- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), William Cross 3150, Las Talitas, Tucumán, Argentina.
  • Fernández Do Porto D; Laboratorio de Biología Molecular, División Patología, Instituto Multidisciplinario de Investigaciones en Patologías Pediátricas (IMIPP), CONICET-GCBA, C1425EFD, Buenos Aires, Argentina.
  • Vojnov A; Instituto de Química Biológica (IQUIBICEN), Facultad de Ciencias Exactas y Naturales (FCEyN), Universidad de Buenos Aires, Intendente Guiraldes 2160, Buenos Aires, Argentina.
  • Castagnaro AP; Instituto de Ciencia y Tecnología "Dr. César Milstein", Fundación Pablo Cassará-Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Saladillo 2468, C1440FFX, Buenos Aires, Argentina.
  • Pardo EM; Instituto de Tecnología Agroindustrial del Noroeste Argentino, Estación Experimental Agroindustrial Obispo Colombres- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), William Cross 3150, Las Talitas, Tucumán, Argentina.
Sci Rep ; 12(1): 10872, 2022 06 27.
Article en En | MEDLINE | ID: mdl-35761017
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.
Asunto(s)

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Glycine max / Fabaceae Idioma: En Revista: Sci Rep Año: 2022 Tipo del documento: Article País de afiliación: Argentina

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Glycine max / Fabaceae Idioma: En Revista: Sci Rep Año: 2022 Tipo del documento: Article País de afiliación: Argentina