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Using High-Throughput Phenotyping Analysis to Decipher the Phenotypic Components and Genetic Architecture of Maize Seedling Salt Tolerance

Soil salinization is a worldwide problem that limits agricultural production. It is important to understand the salt stress tolerance ability of maize seedlings and explore the underlying related genetic resources. In this study, we used a high-throughput phenotyping platform with a 3D laser sensor...

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Autores principales: Guo, Shangjing, Lv, Lujia, Zhao, Yanxin, Wang, Jinglu, Lu, Xianju, Zhang, Minggang, Wang, Ronghuan, Zhang, Ying, Guo, Xinyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10530905/
https://www.ncbi.nlm.nih.gov/pubmed/37761911
http://dx.doi.org/10.3390/genes14091771
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author Guo, Shangjing
Lv, Lujia
Zhao, Yanxin
Wang, Jinglu
Lu, Xianju
Zhang, Minggang
Wang, Ronghuan
Zhang, Ying
Guo, Xinyu
author_facet Guo, Shangjing
Lv, Lujia
Zhao, Yanxin
Wang, Jinglu
Lu, Xianju
Zhang, Minggang
Wang, Ronghuan
Zhang, Ying
Guo, Xinyu
author_sort Guo, Shangjing
collection PubMed
description Soil salinization is a worldwide problem that limits agricultural production. It is important to understand the salt stress tolerance ability of maize seedlings and explore the underlying related genetic resources. In this study, we used a high-throughput phenotyping platform with a 3D laser sensor (Planteye F500) to identify the digital biomass, plant height and normalized vegetation index under normal and saline conditions at multiple time points. The result revealed that a three-leaf period (T3) was identified as the key period for the phenotypic variation in maize seedlings under salt stress. Moreover, we mapped the salt-stress-related SNPs and identified candidate genes in the natural population via a genome-wide association study. A total of 44 candidate genes were annotated, including 26 candidate genes under normal conditions and 18 candidate genes under salt-stressed conditions. This study demonstrates the feasibility of using a high-throughput phenotyping platform to accurately, continuously quantify morphological traits of maize seedlings in different growing environments. And the phenotype and genetic information of this study provided a theoretical basis for the breeding of salt-resistant maize varieties and the study of salt-resistant genes.
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spelling pubmed-105309052023-09-28 Using High-Throughput Phenotyping Analysis to Decipher the Phenotypic Components and Genetic Architecture of Maize Seedling Salt Tolerance Guo, Shangjing Lv, Lujia Zhao, Yanxin Wang, Jinglu Lu, Xianju Zhang, Minggang Wang, Ronghuan Zhang, Ying Guo, Xinyu Genes (Basel) Article Soil salinization is a worldwide problem that limits agricultural production. It is important to understand the salt stress tolerance ability of maize seedlings and explore the underlying related genetic resources. In this study, we used a high-throughput phenotyping platform with a 3D laser sensor (Planteye F500) to identify the digital biomass, plant height and normalized vegetation index under normal and saline conditions at multiple time points. The result revealed that a three-leaf period (T3) was identified as the key period for the phenotypic variation in maize seedlings under salt stress. Moreover, we mapped the salt-stress-related SNPs and identified candidate genes in the natural population via a genome-wide association study. A total of 44 candidate genes were annotated, including 26 candidate genes under normal conditions and 18 candidate genes under salt-stressed conditions. This study demonstrates the feasibility of using a high-throughput phenotyping platform to accurately, continuously quantify morphological traits of maize seedlings in different growing environments. And the phenotype and genetic information of this study provided a theoretical basis for the breeding of salt-resistant maize varieties and the study of salt-resistant genes. MDPI 2023-09-07 /pmc/articles/PMC10530905/ /pubmed/37761911 http://dx.doi.org/10.3390/genes14091771 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
Guo, Shangjing
Lv, Lujia
Zhao, Yanxin
Wang, Jinglu
Lu, Xianju
Zhang, Minggang
Wang, Ronghuan
Zhang, Ying
Guo, Xinyu
Using High-Throughput Phenotyping Analysis to Decipher the Phenotypic Components and Genetic Architecture of Maize Seedling Salt Tolerance
title Using High-Throughput Phenotyping Analysis to Decipher the Phenotypic Components and Genetic Architecture of Maize Seedling Salt Tolerance
title_full Using High-Throughput Phenotyping Analysis to Decipher the Phenotypic Components and Genetic Architecture of Maize Seedling Salt Tolerance
title_fullStr Using High-Throughput Phenotyping Analysis to Decipher the Phenotypic Components and Genetic Architecture of Maize Seedling Salt Tolerance
title_full_unstemmed Using High-Throughput Phenotyping Analysis to Decipher the Phenotypic Components and Genetic Architecture of Maize Seedling Salt Tolerance
title_short Using High-Throughput Phenotyping Analysis to Decipher the Phenotypic Components and Genetic Architecture of Maize Seedling Salt Tolerance
title_sort using high-throughput phenotyping analysis to decipher the phenotypic components and genetic architecture of maize seedling salt tolerance
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10530905/
https://www.ncbi.nlm.nih.gov/pubmed/37761911
http://dx.doi.org/10.3390/genes14091771
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