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Article

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

by
Shangjing Guo
1,†,
Lujia Lv
1,2,†,
Yanxin Zhao
3,
Jinglu Wang
2,
Xianju Lu
2,
Minggang Zhang
2,
Ronghuan Wang
3,
Ying Zhang
2,* and
Xinyu Guo
2,*
1
College of Agronomy, Liaocheng University, Liaocheng 252059, China
2
Beijing Key Lab of Digital Plant, Research Center of Information Technology, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
3
Beijing Key Laboratory of Maize DNA (DeoxyriboNucleic Acid) Fingerprinting and Molecular Breeding, Maize Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
*
Authors to whom correspondence should be addressed.
†
These authors contributed equally to this work.
Genes 2023, 14(9), 1771; https://doi.org/10.3390/genes14091771
Submission received: 8 August 2023 / Revised: 29 August 2023 / Accepted: 31 August 2023 / Published: 7 September 2023
(This article belongs to the Special Issue Molecular Biology of Crop Abiotic Stress Resistance)
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Abstract

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.
Keywords: maize seedling; salt stress; digital biomass; plant height; normalized difference vegetation index; genome-wide association study maize seedling; salt stress; digital biomass; plant height; normalized difference vegetation index; genome-wide association study

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MDPI and ACS Style

Guo, S.; Lv, L.; Zhao, Y.; Wang, J.; Lu, X.; Zhang, M.; Wang, R.; Zhang, Y.; Guo, X. Using High-Throughput Phenotyping Analysis to Decipher the Phenotypic Components and Genetic Architecture of Maize Seedling Salt Tolerance. Genes 2023, 14, 1771. https://doi.org/10.3390/genes14091771

AMA Style

Guo S, Lv L, Zhao Y, Wang J, Lu X, Zhang M, Wang R, Zhang Y, Guo X. Using High-Throughput Phenotyping Analysis to Decipher the Phenotypic Components and Genetic Architecture of Maize Seedling Salt Tolerance. Genes. 2023; 14(9):1771. https://doi.org/10.3390/genes14091771

Chicago/Turabian Style

Guo, Shangjing, Lujia Lv, Yanxin Zhao, Jinglu Wang, Xianju Lu, Minggang Zhang, Ronghuan Wang, Ying Zhang, and Xinyu Guo. 2023. "Using High-Throughput Phenotyping Analysis to Decipher the Phenotypic Components and Genetic Architecture of Maize Seedling Salt Tolerance" Genes 14, no. 9: 1771. https://doi.org/10.3390/genes14091771

APA Style

Guo, S., Lv, L., Zhao, Y., Wang, J., Lu, X., Zhang, M., Wang, R., Zhang, Y., & Guo, X. (2023). Using High-Throughput Phenotyping Analysis to Decipher the Phenotypic Components and Genetic Architecture of Maize Seedling Salt Tolerance. Genes, 14(9), 1771. https://doi.org/10.3390/genes14091771

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