ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2013
Targeted linkage map densification to improve cell wall related QTL detection and interpretation in maize.
Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed, 22 citations in OpenAlex.
- Meta-QTL Analysis and Identification of Candidate Genes Associated with Stalk Lodging in Maize (Current issues in molecular biology · 2025Article
- Genome-wide association analysis of kernel nutritional quality in two natural maize populations.Molecular breeding : new strategies in plant improvement · 2023Article
- Using a high density bin map to analyze quantitative trait locis of germination ability of maize at low temperatures.Frontiers in plant science · 2022Article
- Quantitative trait loci mapping in hybrids between Dent and Flint maize multiparental populations reveals group-specific QTL for silage quality traits with variable pleiotropic effects on yield.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2019Article
- Water Deficit-Responsive QTLs for Cell Wall Degradability and Composition in Maize at Silage Stage.Frontiers in plant science · 2019Article
- A systems biology approach uncovers a gene co-expression network associated with cell wall degradability in maize.PloS one · 2019Article
- Maize Combined Insect Resistance Genomic Regions and Their Co-localization With Cell Wall Constituents Revealed by Tissue-Specific QTL Meta-Analyses.Frontiers in plant science · 2018Article
- Fine-mapping of qGW4.05, a major QTL for kernel weight and size in maize.BMC plant biology · 2016Article
- Ploidy effect and genetic architecture exploration of stalk traits using DH and its corresponding haploid populations in maize.BMC plant biology · 2016Article
- Genetic mapping of QTL for maize weevil resistance in a RIL population of tropical maize.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2015Article
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6 authors at 4 institutions in 2 countries.
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No grant is acknowledged in the PubMed record.
Abstract
Several QTLs for cell wall degradability and lignin content were previously detected in the F288 × F271 maize RIL progeny, including a set of major QTLs located in bin 6.06. Unexpectedly, allelic sequencing of genes located around the bin 6.06 QTL positions revealed a monomorphous region, suggesting that these QTLs were likely "ghost" QTLs. Refining the positions of all QTLs detected in this population was thus considered, based on a linkage map densification in most important QTL regions, and in several large still unmarked regions. Re-analysis of data with an improved genetic map (173 markers instead of 108) showed that ghost QTLs located in bin 6.06 were then fractionated over two QTL positions located upstream and downstream of the monomorphic region. The area located upstream of bin 6.06 position carried the major QTLs, which explained from 37 to 59 % of the phenotypic variation for per se values and extended on only 6 cM, corresponding to a physical distance of 2.2 Mbp. Among the 92 genes present in the corresponding area of the B73 maize reference genome, nine could putatively be considered as involved in the formation of the secondary cell wall [bHLH, FKBP, laccase, fasciclin, zinc finger C2H2-type and C3HC4-type (two genes), NF-YB, and WRKY]. In addition, based on the currently improved genetic map, eight QTLs were detected in bin 4.09, while only one QTL was highlighted in the initial investigation. Moreover, significant epistatic interaction effects were shown for all traits between these QTLs located in bin 4.09 and the major QTLs located in bin 6.05. Three genes related to secondary cell wall assembly (ZmMYB42, COV1-like, PAL-like) underlay QTL support intervals in this newly identified bin 4.09 region. The current investigations, even if they were based only on one RIL progeny, illustrated the interest of a targeted marker mapping on a genetic map to improve QTL position.
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