ArticleBMC plant biology2022
Meta-QTL analysis explores the key genes, especially hormone related genes, involved in the regulation of grain water content and grain dehydration rate in maize.
Article in BMC plant biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
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16 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.
- Genome-Wide Meta-Analysis of QTLs Associated with Root Traits and Implications for Maize Breeding.International journal of molecular sciences · 2023Pooled it
- Decoding the genetic architecture of seed quality traits in mungbean through quantitative trait loci mapping.Frontiers in plant science · 2026Article
- Meta-QTL analysis for mining key genes associated with seed oil content in maize.BMC plant biology · 2025Article
- Identification of Stable Meta-QTLs and Candidate Genes Underlying Fiber Quality and Agronomic Traits in Cotton.Plants (Basel, Switzerland) · 2025Article
- Genome-Wide Association Study Reveals Candidate Genes Regulating Plant Height and First-Branch Height inInternational journal of molecular sciences · 2025Article
- QTL analysis of spike traits and KASP marker validation for basal sterile spikelet number in wheat.BMC plant biology · 2025Article
- Genetic dissection of maize grain moisture content and dehydration rate using high-density bin mapping in a recombinant inbred line population.BMC plant biology · 2025Article
- Candidate Gene for Kernel-Related Traits in Maize Revealed by a Combination of GWAS and Meta-QTL Analyses.Plants (Basel, Switzerland) · 2025Article
- A micropeptide regulates seed desiccation.Frontiers in plant science · 2025Article
- QTL mapping and omics analysis to identify genes controlling kernel dehydration in maize.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024Article
- Integrated meta-QTL and in silico transcriptome assessment pinpoint major genomic regions responsible for spike length in wheat (Triticum aestivum L.).The plant genome · 2024Article
- Genome-wide screening of meta-QTL and candidate genes controlling yield and yield-related traits in barley (Hordeum vulgare L.).PloS one · 2024Article
- Telomere-to-telomere genome assembly of melon (Horticulture research · 2023Article
- Genome-wide association studies of Striga resistance in extra-early maturing quality protein maize inbred lines.G3 (Bethesda, Md.) · 2023Article
- Comprehensive meta-analysis of QTL and gene expression studies identify candidate genes associated withFrontiers in plant science · 2023Article
- Unravelling the genetic framework associated with grain quality and yield-related traits in maize (Frontiers in genetics · 2023Article
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Authors and funding
9 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundLow grain water content (GWC) at harvest of maize (Zea mays L.) is essential for mechanical harvesting, transportation and storage. Grain drying rate (GDR) is a key determinant of GWC. Many quantitative trait locus (QTLs) related to GDR and GWC have been reported, however, the confidence interval (CI) of these QTLs are too large and few QTLs has been fine-mapped or even been cloned. Meta-QTL (MQTL) analysis is an effective method to integrate QTLs information in independent populations, which helps to understand the genetic structure of quantitative traits.
resultsIn this study, MQTL analysis was performed using 282 QTLs from 25 experiments related GDR and GWC. Totally, 11 and 34 MQTLs were found to be associated with GDR and GWC, respectively. The average CI of GDR and GWC MQTLs was 24.44 and 22.13 cM which reduced the 57 and 65% compared to the average QTL interval for initial GDR and GWC QTL, respectively. Finally, 1494 and 5011 candidate genes related to GDR and GWC were identified in MQTL intervals, respectively. Among these genes, there are 48 genes related to hormone metabolism.
conclusionsOur studies combined traditional QTL analyses, genome-wide association study and RNA-seq to analysis major locus for regulating GWC in maize.
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