ArticlePloS one2013
Dynamic QTL analysis and candidate gene mapping for waterlogging tolerance at maize seedling stage.
Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.
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Who cites it
37 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Genome-Wide Meta-Analysis of QTLs Associated with Root Traits and Implications for Maize Breeding.International journal of molecular sciences · 2023Pooled it
- Unraveling the genetic mechanisms of waterlogging stress through the leaf metabolome of a sweet corn panel.BMC plant biology · 2025Article
- Meta-QTL Analysis and Identification of Candidate Genes Associated with Stalk Lodging in Maize (Current issues in molecular biology · 2025Article
- Dynamic QTL mapping reveals the genetic architecture of stem diameter across developmental stages in foxtail millet.Planta · 2025Article
- Identification and characterization of waterlogging-responsive genes in the parental line of maize hybrid An'nong 876.Genetics and molecular biology · 2024Article
- Exploring the Potential of Multiomics and Other Integrative Approaches for Improving Waterlogging Tolerance in Plants.Plants (Basel, Switzerland) · 2023Review
- Integration of high-throughput phenotyping, GWAS, and predictive models reveals the genetic architecture of plant height in maize.Molecular plant · 2023Article
- Silage maize as a potent candidate for sustainable animal husbandry development-perspectives and strategies for genetic enhancement.Frontiers in genetics · 2023Review
- Genome sequencing reveals evidence of adaptive variation in the genus Zea.Nature genetics · 2022Article
- Meta-QTL analysis and candidate genes identification for various abiotic stresses in maize (Molecular breeding : new strategies in plant improvement · 2022Article
- Identification of Zinc Efficiency-Associated Loci (International journal of molecular sciences · 2022Article
- Recent developments in multi-omics and breeding strategies for abiotic stress tolerance in maize (Frontiers in plant science · 2022Review
- Genome-wide association study and transcriptome analysis reveal key genes affecting root growth dynamics in rapeseed.Biotechnology for biofuels · 2021Article
- Identification of major QTL for waterlogging tolerance in maize using genome-wide association study and bulked sample analysis.Journal of applied genetics · 2021Article
- Opportunities for Improving Waterlogging Tolerance in Cereal Crops-Physiological Traits and Genetic Mechanisms.Plants (Basel, Switzerland) · 2021Review
- Genetic regulation of root traits for soil flooding tolerance in genusBreeding science · 2021Article
- Increased Power and Accuracy of Causal Locus Identification in Time Series Genome-wide Association in Sorghum.Plant physiology · 2020Article
- Quantitative Trait Locus Analysis of Protein and Oil Content in Response to Planting Density in Soybean (Frontiers in genetics · 2020Article
- A group VII ethylene response factor gene, ZmEREB180, coordinates waterlogging tolerance in maize seedlings.Plant biotechnology journal · 2019Article
- QTLian breeding for climate resilience in cereals: progress and prospects.Functional & integrative genomics · 2019Review
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Soil waterlogging is one of the major abiotic stresses adversely affecting maize growth and yield. To identify dynamic expression of genes or quantitative trait loci (QTL), QTL associated with plant height, root length, root dry weight, shoot dry weight and total dry weight were identified via conditional analysis in a mixed linear model and inclusive composite interval mapping method at three respective periods under waterlogging and control conditions. A total of 13, 19 and 23 QTL were detected at stages 3D|0D (the period during 0-3 d of waterlogging), 6D|3D and 9D|6D, respectively. The effects of each QTL were moderate and distributed over nine chromosomes, singly explaining 4.14-18.88% of the phenotypic variation. Six QTL (ph6-1, rl1-2, sdw4-1, sdw7-1, tdw4-1 and tdw7-1) were identified at two consistent stages of seedling development, which could reflect a continuous expression of genes; the remaining QTL were detected at only one stage. Thus, expression of most QTL was influenced by the developmental status. In order to provide additional evidence regarding the role of corresponding genes in waterlogging tolerance, mapping of Expressed Sequence Tags markers and microRNAs were conducted. Seven candidate genes were observed to co-localize with the identified QTL on chromosomes 1, 4, 6, 7 and 9, and may be important candidate genes for waterlogging tolerance. These results are a good starting point for understanding the genetic basis for selectively expressing of QTL in different stress periods and the common genetic control mechanism of the co-localized traits.
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