ArticleBMC genomics2016
Transcriptome analysis of maize resistance to Fusarium graminearum.
Article in BMC genomics, 2016. 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 28 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
28 citing papers in PubMed, 67 citations in OpenAlex.
- ZmWRKY29 Transcriptionally Represses ZmRBOHC to Attenuate ROS Production and Facilitates Gibberella Stalk Rot Susceptibility in Maize.Plant biotechnology journal · 2026Article
- DC-FusionGNN: A Dual-Channel Framework Integrating Global Self-Attention and Local Topology Learning for Identifying Key Resistance Genes AgainstPlants (Basel, Switzerland) · 2026Article
- Integrating Genetic Diversity and Agronomic Innovations for Climate-Resilient Maize Systems.Plants (Basel, Switzerland) · 2025Review
- Integrated analysis of transcriptomics and defense-related phytohormones to discover hub genes conferring maize Gibberella ear rot caused by Fusarium Graminearum.BMC genomics · 2024Article
- A genome-wide co-expression network analysis revealed ZmNRAMP6-mediated regulatory pathway involved in maize tolerance to lead stress.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023Article
- Cell wall-related genes and lignin accumulation contribute to the root resistance in different maize (Frontiers in plant science · 2023Article
- The Endoplasmic Reticulum Cargo Receptor FgErv14 Regulates DON Production, Growth and Virulence inLife (Basel, Switzerland) · 2022Article
- Multi-Omics Analysis Reveals a Regulatory Network of ZmCCT During Maize Resistance to Gibberella Stalk Rot at the Early Stage.Frontiers in plant science · 2022Article
- Transcriptomic Analysis ofFrontiers in plant science · 2022Article
- Comparative transcriptome meta-analysis reveals a set of genes involved in the responses to multiple pathogens in maize.Frontiers in plant science · 2022Article
- Transcriptomic Analysis Reveals Candidate Genes Responding Maize Gray Leaf Spot Caused byPlants (Basel, Switzerland) · 2021Article
- DiazotrophInternational journal of molecular sciences · 2021Article
- Integrated Gene Co-expression Analysis and Metabolites Profiling Highlight the Important Role of ZmHIR3 in Maize Resistance toFrontiers in plant science · 2021Article
- Multi-Omics Analyses Reveal the Regulatory Network and the Function of ZmUGTs in Maize Defense Response.Frontiers in plant science · 2021Article
- A Comparative Transcriptome Analysis, Conserved Regulatory Elements and Associated Transcription Factors Related to Accumulation of Fusariotoxins in Grain of Rye (International journal of molecular sciences · 2020Article
- Maize ZmFNSI Homologs Interact with an NLR Protein to Modulate Hypersensitive Response.International journal of molecular sciences · 2020Article
- ZmMYC2 exhibits diverse functions and enhances JA signaling in transgenic Arabidopsis.Plant cell reports · 2020Article
- Genome-Wide Association and Gene Co-expression Network Analyses Reveal Complex Genetics of Resistance to Goss's Wilt of Maize.G3 (Bethesda, Md.) · 2019Article
- Candidate loci for the kernel row number in maize revealed by a combination of transcriptome analysis and regional association mapping.BMC plant biology · 2019Article
- Genome-wide association analysis for fumonisin content in maize kernels.BMC plant biology · 2019Article
Corrections and comments
- Erratum issued
Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundGibberella stalk rot caused by Fusarium graminearum is one of the most destructive soil-borne diseases of maize (Zea mays L.). Chemical means of controlling Gibberella stalk rot are not very effective; development of highly resistant hybrids is the best choice for disease control. Hence, understanding of the molecular basis underlying maize resistance against Gibberella stalk rot would undoubtedly facilitate the resistance breeding for stalk rot.
resultsTwo quantitative trait loci (QTL), qRfg1 and qRfg2, conferring resistance to Gibberella stalk rot were detected in our previous study. Three near-isogenic lines (NILs) of maize with either qRfg1 (NIL1) or qRfg2 (NIL2), or neither (NIL3) were generated and subjected to RNA sequencing to study the transcriptional changes after F. graminearum inoculation at 0 (control), 6, and 18 h post-inoculation (hpi). In total, 536,184,652 clean reads were generated, and gene expression levels were calculated using FPKM (fragments per kilobase of exon model per million mapped reads). A total of 7252 differentially expressed genes (DEGs) were found in the three NILs after F. graminearum inoculation. As many as 2499 DEGs were detected between NIL1 and NIL3 at 0 hpi, of which 884 DEGs were more abundant in NIL1 and enriched in defense responses. After F. graminearum inoculation, 1070 and 751 genes were exclusively up- and downregulated, respectively, in NIL1 as compared to NIL3. The 1070 upregulated DEGs were enriched in growth/development, photosynthesis/biogenesis, and defense-related responses. Genes encoding putative auxin-induced proteins and GH3 family proteins in auxin signaling pathway were highly induced and lasted longer in NIL3. Genes involved in polar auxin transport (PAT) were more abundant in NIL3 as compared with NIL2.
conclusionsThe qRfg1 confers its resistance to Gibberella stalk rot through both constitutive and induced high expression of defense-related genes; while qRfg2 enhances maize resistance to the disease via relatively lower induction of auxin signaling and repression of PAT. The defense-related transcriptional changes underlying each QTL will undoubtedly facilitate our understanding of the resistance mechanism and resistance breeding for maize stalk rot.
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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.