ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2023
Combined linkage mapping and association analysis uncovers candidate genes for 25 leaf-related traits across three environments in maize.
Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 5 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
5 citing papers in PubMed.
- Quantitative trait loci mapping of heterosis for leaf morphological traits and candidate gene identification in maize.BMC plant biology · 2026Article
- GWAS and gene co-expression network analysis reveal the genetic control of seed germination under salt stress in maize.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Article
- Genome-wide association analysis and genomic selection for leaf-related traits of maize.PloS one · 2025Article
- Genome-wide association studies and genomic selection for leaf-related traits in maize.Frontiers in plant science · 2025Article
- Quantitative trait locus analysis of gray leaf spot resistance in the maize IBM Syn10 DH population.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024Article
Corrections and comments
- Erratum issued
Authors and funding
15 authors.
Funding
Abstract
key messageCombined linkage and association analysis revealed five co-localized genetic loci across multiple environments. The key gene Zm00001d026491 was further verified to influence leaf length by candidate gene association analysis. Leaf morphology and number determine the canopy structure and thus affect crop yield. Herein, the genetic basis and key genes for 25 leaf-related traits, including leaf lengths (LL), leaf widths (LW), and leaf areas (LA) of eight continuous leaves under the tassel, and the number of leaves above the primary ear (LAE), were dissected by using an association panel and a biparental population. Using an intermated B73 × Mo17 (IBM) Syn10 doubled haploid (DH) population, 290 quantitative trait loci (QTL) controlling these traits were detected across different locations, among which 115 QTL were individually repeatedly identified in at least two environments. Using the association panel, 165 unique significant single-nucleotide polymorphisms (SNPs) were associated with target traits (P < 2.15E-06), of which 35 were separately detected across multiple environments. In total, 42 pleiotropic QTL/SNPs (pQTL/SNPs) were responsible for at least two of the LL, LW, LA, and LAE traits across multiple environments. Combining the QTL mapping and association study, five unique SNPs were located within the confidence intervals of seven QTL, and 77 genes were identified based on the linkage disequilibrium regions of co-localized SNP loci. Gene-based association studies verified that the intragenic variants in the candidate gene Zm00001d026491 influenced LL of the third leaf counted from the top node. These findings will provide vital information to understanding the genetic basis of leaf-related traits and help to cultivate maize varieties with ideal plant architecture.
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