Literature DB >> 29505629

Genome-Wide Association and Metabolic Pathway Analysis of Corn Earworm Resistance in Maize.

Marilyn L Warburton, Erika D Womack, Juliet D Tang, Adam Thrash, J Spencer Smith, Wenwei Xu, Seth C Murray, W Paul Williams.   

Abstract

Maize ( L.) is a staple crop of economic, industrial, and food security importance. Damage to the growing ears by corn earworm [ (Boddie)] is a major economic burden and increases secondary fungal infections and mycotoxin levels. To identify biochemical pathways associated with native resistance mechanisms, a genome-wide association analysis was performed, followed by pathway analysis using a gene-set enrichment-based approach. The gene-set enrichment exposed the cumulative effects of genes in pathways to identify those that contributed the most to resistance. Single nucleotide polymorphism-trait associations were linked to genes including transcription factors, protein kinases, hormone-responsive proteins, hydrolases, pectinases, xylogluconases, and the flavonol synthase gene (in the maysin biosynthesis pathway). The most significantly associated metabolic pathways identified included those that modified cell wall components, especially homogalacturonan, wax esters, and fatty acids; those involved in antibiosis, especially 2,4-dihydroxy-7-methoxy-1,4-benzoxazin-3-one (DIMBOA), flavonoids, and phenolics; and those involved in plant growth, including N uptake and energy production. The pathways identified in this study, and especially the cell wall-associated pathways, identified here for the first time, provide clues to resistance mechanisms that could guide the identification of new resistant ideotypes and candidate genes for creation of resistant maize germplasm via selection of natural variants or gene editing.
Copyright © 2018 Crop Science Society of America.

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Year:  2018        PMID: 29505629     DOI: 10.3835/plantgenome2017.08.0069

Source DB:  PubMed          Journal:  Plant Genome        ISSN: 1940-3372            Impact factor:   4.089


  4 in total

Review 1.  Genome-wide association mapping in maize: status and prospects.

Authors:  Kumari Shikha; J P Shahi; M T Vinayan; P H Zaidi; A K Singh; B Sinha
Journal:  3 Biotech       Date:  2021-04-29       Impact factor: 2.406

2.  Back to the wild: mining maize (Zea mays L.) disease resistance using advanced breeding tools.

Authors:  Shabir Hussain Wani; Kajal Samantara; Ali Razzaq; Grihalakshmi Kakani; Pardeep Kumar
Journal:  Mol Biol Rep       Date:  2022-01-22       Impact factor: 2.742

3.  PAST: The Pathway Association Studies Tool to Infer Biological Meaning from GWAS Datasets.

Authors:  Adam Thrash; Juliet D Tang; Mason DeOrnellis; Daniel G Peterson; Marilyn L Warburton
Journal:  Plants (Basel)       Date:  2020-01-02

Review 4.  The utility of metabolomics as a tool to inform maize biology.

Authors:  David B Medeiros; Yariv Brotman; Alisdair R Fernie
Journal:  Plant Commun       Date:  2021-04-21
  4 in total

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