Evidence map›Paper›PMID 42283860›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2026

Transcriptomics-assisted quantitative trait locus fine mapping for the identification of a gray leaf spot resistance gene ZmEGH in maize.

Yong Qi, Zhi Zhang, Maoxian Tian, Wenzhu Yang, Mei Yang, Hongbo Qiu

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Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Yong QiCollege of Agriculture, Guizhou University, Guiyang, China.
Zhi ZhangCollege of Agriculture, Guizhou University, Guiyang, China.
Maoxian TianCollege of Agriculture, Guizhou University, Guiyang, China.
Wenzhu YangCollege of Agriculture, Guizhou University, Guiyang, China.
Mei YangCollege of Agriculture, Guizhou University, Guiyang, China.
Hongbo QiuCollege of Agriculture, Guizhou University, Guiyang, China. hbqiu@gzu.edu.cn.

Funding

Guizhou Key Laboratory of High Quality, High Efficiency, and Yield Enhancement in Grain and Oil Crops Qian-Ke-He-Platform ZSYS[2025] 037National Natural Science Foundation of China 32560488
6 · The paper itself

Abstract

key messageBy integrating QTL fine-mapping with transcriptomic analysis, we identified Zm00001d053733 (ZmEGH) within a 157.4 kb genomic interval as a hub gene in a disease-resistance co-expression network and a candidate gene potentially involved in gray leaf spot resistance in maize. Gray leaf spot is a globally significant fungal foliar disease of maize, and resistance to GLS is a typical quantitative trait governed by a complex genetic architecture. In this study, multi-generation populations derived from the highly resistant inbred line T32 and the highly susceptible inbred line J51 were used for genetic analysis. High-density linkage mapping followed by fine mapping identified a major quantitative trait locus (QTL), designated qGLS4, on chromosome 4, which was delimited to a 157.4 kb physical interval. To further identify candidate genes, RNA-seq data were generated before and after pathogen inoculation from the two parental lines and their backcross-derived populations. Weighted gene co-expression network analysis (WGCNA) was conducted to identify modules associated with the disease index, enabling the screening of ten candidate genes within the fine-mapped region. The brown module exhibited a strong positive correlation with disease index. Within the QTL interval, Zm00001d053733 (ZmEGH) was identified as a hub gene in this module and showed pathogen-induced expression specifically in resistant genotypes. Notably, ZmEGH expression was significantly up-regulated in the highly resistant parent T32 and was enriched in the plant-pathogen interaction pathway, further supporting its candidacy as a key potential underlying GLS resistance.

Indexed as

Disease ResistanceGenes, PlantPlant DiseasesQuantitative Trait LociTranscriptomeZea maysAscomycotaChromosome MappingGene Expression ProfilingGene Expression Regulation, PlantGenetic LinkagePhenotypePhysical Chromosome MappingPlant Leaves

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.