JOURNAL ARTICLE

Carbon-concentrating mechanisms in pods are key elements for terminal drought resistance in Phaseolus vulgaris.

  • Published In: Journal of Experimental Botany, 2023, v. 74, n. 5. P. 1642 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: González-Lemes, Ingrid; Acosta-Maspons, Alexis; Cetz-Chel, José E; Polania, José A; Acosta-Gallegos, Jorge A; Herrera-Estrella, Alfredo; Covarrubias, Alejandra A 3 of 3

Abstract

This article focuses on the physiological and molecular mechanisms underlying terminal drought resistance in common bean (Phaseolus vulgaris L.), a staple legume crop vulnerable to yield losses exceeding 80% under drought during reproductive stages. Using two Durango race cultivars with contrasting drought tolerance—Pinto Saltillo (resistant) and Bayo Madero (sensitive)—the study combined transcriptomic analyses of source leaves, pod walls, and seeds with physiological measurements at the mid-pod-filling stage. Results indicate that the resistant cultivar enhances carbon recycling via photosynthesis, photorespiration, and CO2-concentrating mechanisms in pod walls, alongside increased sink strength and respiration-related gene expression in seeds, supporting efficient carbon translocation and biomass accumulation under drought. These findings highlight coordinated metabolic adjustments in pod walls and seeds as key contributors to terminal drought resistance in common bean.

Additional Information

  • Source:Journal of Experimental Botany. 2023/03, Vol. 74, Issue 5, p1642
  • Document Type:Article
  • Subject Area:Agriculture and Agribusiness
  • Publication Date:2023
  • ISSN:0022-0957
  • DOI:10.1093/jxb/erac504
  • Accession Number:162393993
  • Copyright Statement:Copyright of Journal of Experimental Botany is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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