ArticleScientific reports2014
Relating significance and relations of differentially expressed genes in response to Aspergillus flavus infection in maize.
Article in Scientific reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
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- Integrative Analysis of lncRNA-RBP (RNA-Binding Protein) Regulatory Networks Reveals Molecular Targets for EnhancingInternational journal of molecular sciences · 2026Article
- The Inhibitory Effect ofToxins · 2022Article
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- Use of Dual RNA-seq for Systems Biology Analysis ofFrontiers in microbiology · 2020Article
- Inhibitory Effect of Volatiles Emitted FromFrontiers in microbiology · 2019Article
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- Comparative Histological and Transcriptional Analysis of Maize Kernels Infected withFrontiers in plant science · 2017Article
- Expression Profiling Coupled withFrontiers in plant science · 2017Article
- Molecular dissection of pathway components unravel atisine biosynthesis in a non-toxic Aconitum species, A. heterophyllum Wall.3 Biotech · 2016Article
- Comparative transcript profiling of resistant and susceptible peanut post-harvest seeds in response to aflatoxin production by Aspergillus flavus.BMC plant biology · 2016Article
- Large-scale identification of wheat genes resistant to cereal cyst nematode Heterodera avenae using comparative transcriptomic analysis.BMC genomics · 2015Article
- The Shewanella algae strain YM8 produces volatiles with strong inhibition activity against Aspergillus pathogens and aflatoxins.Frontiers in microbiology · 2015Article
- Computational identification of genetic subnetwork modules associated with maize defense response to Fusarium verticillioides.BMC bioinformatics · 2015Article
- Toward elucidation of genetic and functional genetic mechanisms in corn host resistance to Aspergillus flavus infection and aflatoxin contamination.Frontiers in microbiology · 2014Review
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Authors and funding
6 authors.
Funding
Abstract
Aspergillus flavus is a pathogenic fungus infecting maize and producing aflatoxins that are health hazards to humans and animals. Characterizing host defense mechanism and prioritizing candidate resistance genes are important to the development of resistant maize germplasm. We investigated methods amenable for the analysis of the significance and relations among maize candidate genes based on the empirical gene expression data obtained by RT-qPCR technique from maize inbred lines. We optimized a pipeline of analysis tools chosen from various programs to provide rigorous statistical analysis and state of the art data visualization. A network-based method was also explored to construct the empirical gene expression relational structures. Maize genes at the centers in the network were considered as important candidate genes for maize DNA marker studies. The methods in this research can be used to analyze large RT-qPCR datasets and establish complex empirical gene relational structures across multiple experimental conditions.
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