ArticleGenes2019
Integrating GWAS and Gene Expression Analysis Identifies Candidate Genes for Root Morphology Traits in Maize at the Seedling Stage.
Article in Genes, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed, 50 citations in OpenAlex.
- Genetic determinants of aerial root morphology in Sierra Mixe-derived maize.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- Resequencing and phenotyping of the first highly inbred eggplant multiparent population revealHorticulture research · 2025Article
- Integrated GWAS and Transcriptome Analysis Reveal the Genetic and Molecular Basis of Low Nitrogen Tolerance in Maize Seedlings.Plants (Basel, Switzerland) · 2025Article
- Genome-wide association study identified BnaPAP17 genes involved in exogenous ATP utilization and regulating phosphorous content in Brassica napus.Plant cell reports · 2024Article
- Residual networks without pooling layers improve the accuracy of genomic predictions.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024Article
- Genome-wide association analysis reveal candidate genes and haplotypes related to root weight in cucumber (Frontiers in plant science · 2024Article
- Ameliorating the effects of multiple stresses on agronomic traits in crops: modern biotechnological and omics approaches.Molecular biology reports · 2023Review
- Identification of a new QTL underlying seminal root number in a maize-teosinte population.Frontiers in plant science · 2023Article
- Transcriptome analysis reveals key regulatory genes for root growth related to potassium utilization efficiency in rapeseed (Frontiers in plant science · 2023Article
- Prospects of genetics and breeding for low-phosphate tolerance: an integrated approach from soil to cell.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022Review
- Mapping of Candidate Genes in Response to Low Nitrogen in Rice Seedlings.Rice (New York, N.Y.) · 2022Article
- GWAS and Transcriptome Analysis Reveal Key Genes Affecting Root Growth under Low Nitrogen Supply in Maize.Genes · 2022Article
- Identification of a unique allele in the quantitative trait locus for crown root number inBreeding science · 2022Article
- Genome-Wide Association Studies of Maize Seedling Root Traits under Different Nitrogen Levels.Plants (Basel, Switzerland) · 2022Article
- GWAS and RNA-seq analysis uncover candidate genes associated with alkaline stress tolerance in maize (Frontiers in plant science · 2022Article
- Association mapping uncovers maizeFrontiers in plant science · 2022Article
- Genome-wide association study reveals the genetic basis of brace root angle and diameter in maize.Frontiers in genetics · 2022Article
- Omics for the Improvement of Abiotic, Biotic, and Agronomic Traits in Major Cereal Crops: Applications, Challenges, and Prospects.Plants (Basel, Switzerland) · 2021Review
- Genome-wide association study and transcriptome analysis reveal key genes affecting root growth dynamics in rapeseed.Biotechnology for biofuels · 2021Article
- Exploiting natural variation in crown root traits via genome-wide association studies in maize.BMC plant biology · 2021Article
Corrections and comments
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Authors and funding
11 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Root system plays an essential role in water and nutrient acquisition in plants. Understanding the genetic basis of root development will be beneficial for breeding new cultivars with efficient root system to enhance resource use efficiency in maize. Here, the natural variation of 13 root and 3 shoot traits was evaluated in 297 maize inbred lines and genome-wide association mapping was conducted to identify SNPs associated with target traits. All measured traits exhibited 2.02- to 21.36-fold variations. A total of 34 quantitative trait loci (QTLs) were detected for 13 traits, and each individual QTL explained 5.7% to 15.9% of the phenotypic variance. Three pleiotropic QTLs involving five root traits were identified; SNP_2_104416607 was associated with lateral root length (LRL), root surface area (RA), root length between 0 and 0.5mm in diameter (RL005), and total root length (TRL); SNP_2_184016997 was associated with RV and RA, and SNP_4_168917747 was associated with LRL, RA and TRL. The expression levels of candidate genes in root QTLs were evaluated by RNA-seq among three long-root lines and three short-root lines. A total of five genes that showed differential expression between the long- and short-root lines were identified as promising candidate genes for the target traits. These QTLs and the potential candidate genes are important source data to understand root development and genetic improvement of root traits in maize.
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