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Functional Mapping of Genes Modulating Plant Shade Avoidance Using Leaf Traits

Shade avoidance syndrome (SAS) refers to a set of plant responses that increases light capture in dense stands. This process is crucial for plants in natural and agricultural environments as they compete for resources and avoid suboptimal conditions. Although the molecular, biochemical, and physiolo...

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Autores principales: Zhang, Han, Cao, Yige, Wang, Zijian, Ye, Meixia, Wu, Rongling
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9920004/
https://www.ncbi.nlm.nih.gov/pubmed/36771692
http://dx.doi.org/10.3390/plants12030608
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author Zhang, Han
Cao, Yige
Wang, Zijian
Ye, Meixia
Wu, Rongling
author_facet Zhang, Han
Cao, Yige
Wang, Zijian
Ye, Meixia
Wu, Rongling
author_sort Zhang, Han
collection PubMed
description Shade avoidance syndrome (SAS) refers to a set of plant responses that increases light capture in dense stands. This process is crucial for plants in natural and agricultural environments as they compete for resources and avoid suboptimal conditions. Although the molecular, biochemical, and physiological mechanisms underlying the SAS response have been extensively studied, the genetic basis of developmental variation in leaves in regard to leaf area, petiole length, and leaf length (i.e., their allometric relationships) remains unresolved. In this study, with the recombinant inbred line (RIL) population, the developmental traits of leaves of Arabidopsis were investigated under two growth density conditions (high- and low-density plantings). The observed changes were then reconstructed digitally, and their allometric relationships were modelled. Taking the genome-wide association analysis, the SNP genotype and the dynamic phenotype of the leaf from both densities were combined to explore the allometry QTLs. Under different densities, leaf change phenotype was analyzed from two core ecological scenarios: (i) the allometric change of the leaf area with leaf length, and (ii) the change of the leaf length with petiole length. QTLs modulating these two scenarios were characterized as ‘leaf shape QTLs’ and ‘leaf position QTLs’. With functional mapping, results showed a total of 30 and 24 significant SNPs for shapeQTLs and positionQTLs, respectively. By annotation, immune pathway genes, photosensory receptor genes, and phytohormone genes were identified to be involved in the SAS response. Interestingly, genes modulating the immune pathway and salt tolerance, i.e., systemic acquired resistance (SAR) regulatory proteins (MININ-1-related) and salt tolerance homologs (STH), were reported to mediate the SAS response. By dissecting and comparing QTL effects from low- and high-density conditions, our results elucidate the genetic control of leaf formation in the context of the SAS response. The mechanism with leaf development [Formula: see text] density interaction can further aid the development of density-tolerant crop varieties for agricultural practices.
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spelling pubmed-99200042023-02-12 Functional Mapping of Genes Modulating Plant Shade Avoidance Using Leaf Traits Zhang, Han Cao, Yige Wang, Zijian Ye, Meixia Wu, Rongling Plants (Basel) Article Shade avoidance syndrome (SAS) refers to a set of plant responses that increases light capture in dense stands. This process is crucial for plants in natural and agricultural environments as they compete for resources and avoid suboptimal conditions. Although the molecular, biochemical, and physiological mechanisms underlying the SAS response have been extensively studied, the genetic basis of developmental variation in leaves in regard to leaf area, petiole length, and leaf length (i.e., their allometric relationships) remains unresolved. In this study, with the recombinant inbred line (RIL) population, the developmental traits of leaves of Arabidopsis were investigated under two growth density conditions (high- and low-density plantings). The observed changes were then reconstructed digitally, and their allometric relationships were modelled. Taking the genome-wide association analysis, the SNP genotype and the dynamic phenotype of the leaf from both densities were combined to explore the allometry QTLs. Under different densities, leaf change phenotype was analyzed from two core ecological scenarios: (i) the allometric change of the leaf area with leaf length, and (ii) the change of the leaf length with petiole length. QTLs modulating these two scenarios were characterized as ‘leaf shape QTLs’ and ‘leaf position QTLs’. With functional mapping, results showed a total of 30 and 24 significant SNPs for shapeQTLs and positionQTLs, respectively. By annotation, immune pathway genes, photosensory receptor genes, and phytohormone genes were identified to be involved in the SAS response. Interestingly, genes modulating the immune pathway and salt tolerance, i.e., systemic acquired resistance (SAR) regulatory proteins (MININ-1-related) and salt tolerance homologs (STH), were reported to mediate the SAS response. By dissecting and comparing QTL effects from low- and high-density conditions, our results elucidate the genetic control of leaf formation in the context of the SAS response. The mechanism with leaf development [Formula: see text] density interaction can further aid the development of density-tolerant crop varieties for agricultural practices. MDPI 2023-01-30 /pmc/articles/PMC9920004/ /pubmed/36771692 http://dx.doi.org/10.3390/plants12030608 Text en © 2023 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 Article
Zhang, Han
Cao, Yige
Wang, Zijian
Ye, Meixia
Wu, Rongling
Functional Mapping of Genes Modulating Plant Shade Avoidance Using Leaf Traits
title Functional Mapping of Genes Modulating Plant Shade Avoidance Using Leaf Traits
title_full Functional Mapping of Genes Modulating Plant Shade Avoidance Using Leaf Traits
title_fullStr Functional Mapping of Genes Modulating Plant Shade Avoidance Using Leaf Traits
title_full_unstemmed Functional Mapping of Genes Modulating Plant Shade Avoidance Using Leaf Traits
title_short Functional Mapping of Genes Modulating Plant Shade Avoidance Using Leaf Traits
title_sort functional mapping of genes modulating plant shade avoidance using leaf traits
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9920004/
https://www.ncbi.nlm.nih.gov/pubmed/36771692
http://dx.doi.org/10.3390/plants12030608
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