Genomic regions influencing the hyperspectral phenome of deoxynivalenol infected wheat

The quantitative nature of fusarium head blight (FHB) resistance requires further exploration of the wheat genome to identify regions conferring resistance. In this study, we explored the application of hyperspectral imaging of Fusarium-infected wheat kernels and identified regions of the wheat genome contributing significantly to the accumulation of Deoxynivalenol (DON) mycotoxin. Strong correlations were identified between hyperspectral reflectance values for 204 wavebands in the 397-673 nm range and DON mycotoxin. Dimensionality reduction using principal components was performed for all 204 wavebands and 38 sliding windows across the range of wavebands. The first principal component (PC1) of all 204 wavebands explained 70% of the total variation in waveband reflectance values and was highly correlated with DON mycotoxin. PC1 was used as a phenotype in a genome wide association study and a large effect QTL on chromosome 2D was identified for PC1 of all wavebands as well as nearly all 38 sliding windows. The allele contributing variation in PC1 values also led to a substantial reduction in DON. The 2D polymorphism affecting DON levels localized to the exon of TraesCS2D02G524600 which is upregulated in wheat spike and rachis tissues during FHB infection. This work demonstrates the value of hyperspectral imaging as a correlated trait for investigating the genetic basis of resistance and developing wheat varieties with enhanced resistance to FHB.

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Publication Details

Journal
Scientific Reports
Published
2024-08-20
DOI
https://doi.org/10.1038/s41598-024-69830-5
Citations
2
Primary Topic
Mycotoxins in Agriculture and Food
Type
article
Field-Weighted Citation Impact
1.20

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article

Genomic regions influencing the hyperspectral phenome of deoxynivalenol infected wheat

Yanhong Dong, Addie Thompson, Eric Olson, Jonathan S. Concepcion et al.
2 citations
Scientific Reports
Mycotoxins in Agriculture and Food
1.20
article

Genomic regions influencing the hyperspectral phenome of deoxynivalenol infected wheat

Yanhong Dong, Addie Thompson, Eric Olson, Jonathan S. Concepcion, Amanda Noble
article en
2 citations

Abstract

The quantitative nature of fusarium head blight (FHB) resistance requires further exploration of the wheat genome to identify regions conferring resistance. In this study, we explored the application of hyperspectral imaging of Fusarium-infected wheat kernels and identified regions of the wheat genome contributing significantly to the accumulation of Deoxynivalenol (DON) mycotoxin. Strong correlations were identified between hyperspectral reflectance values for 204 wavebands in the 397-673 nm range and DON mycotoxin. Dimensionality reduction using principal components was performed for all 204 wavebands and 38 sliding windows across the range of wavebands. The first principal component (PC1) of all 204 wavebands explained 70% of the total variation in waveband reflectance values and was highly correlated with DON mycotoxin. PC1 was used as a phenotype in a genome wide association study and a large effect QTL on chromosome 2D was identified for PC1 of all wavebands as well as nearly all 38 sliding windows. The allele contributing variation in PC1 values also led to a substantial reduction in DON. The 2D polymorphism affecting DON levels localized to the exon of TraesCS2D02G524600 which is upregulated in wheat spike and rachis tissues during FHB infection. This work demonstrates the value of hyperspectral imaging as a correlated trait for investigating the genetic basis of resistance and developing wheat varieties with enhanced resistance to FHB.

Scientific ReportsVol. 14(1)
University of Minnesota (US), Michigan State University (US)
U.S. Department of Agriculture, Corteva Agriscience, National Institute of Food and Agriculture, Agricultural Research Service
Openalex Percentile: Top 17%
Mycotoxins in Agriculture and Food
1.20
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Genomic regions influencing the hyperspectral phenome of deoxynivalenol infected wheat — Yanhong Dong, Addie Thompson, et al. · Scientific Reports (2024) | TGRS Research Map | TGRS