QTL mapping and genomic prediction of resistance to wheat head blight caused by Fusarium verticillioides

Fusarium head blight (FHB), is one of the destructive fugue diseases of wheat worldwide caused by the Fusarium verticillioides (F.v). In this study, a population consisting of 262 recombinant inbred lines (RILs) derived from Zhongmai 578 and Jimai 22 was used to map Quantitative Trait Locus (QTL) fo...

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Main Authors: Song Junqiao, Pang Yuhui, Wang Chunping, Zhang Xuecai, Zeng Zhankui, Zhao Dehui, Zhang Leiyi, Zhang Yong
Format: Journal Article
Language:Inglés
Published: Frontiers Media 2022
Subjects:
Online Access:https://hdl.handle.net/10568/126484
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author Song Junqiao
Pang Yuhui
Wang Chunping
Zhang Xuecai
Zeng Zhankui
Zhao Dehui
Zhang Leiyi
Zhang Yong
author_browse Pang Yuhui
Song Junqiao
Wang Chunping
Zeng Zhankui
Zhang Leiyi
Zhang Xuecai
Zhang Yong
Zhao Dehui
author_facet Song Junqiao
Pang Yuhui
Wang Chunping
Zhang Xuecai
Zeng Zhankui
Zhao Dehui
Zhang Leiyi
Zhang Yong
author_sort Song Junqiao
collection Repository of Agricultural Research Outputs (CGSpace)
description Fusarium head blight (FHB), is one of the destructive fugue diseases of wheat worldwide caused by the Fusarium verticillioides (F.v). In this study, a population consisting of 262 recombinant inbred lines (RILs) derived from Zhongmai 578 and Jimai 22 was used to map Quantitative Trait Locus (QTL) for FHB resistance, with the genotype data using the wheat 50 K single nucleotide polymorphism (SNP) array. The percentage of symptomatic spikelet (PSS) and the weighted average of PSS (PSSW) were collected for each RIL to represent their resistance to wheat head blight caused by F.v. In total, 22 QTL associated with FHB resistance were identified on chromosomes 1D, 2B, 3B, 4A, 5D, 7A, 7B, and 7D, respectively, from which 10 and 12 QTL were detected from PSS and PSSW respectively, explaining 3.82%–10.57% of the phenotypic variances using the inclusive composite interval mapping method. One novel QTL, Qfhb. haust-4A.1, was identified, explaining 10.56% of the phenotypic variation. One stable QTL, Qfhb. haust-1D.1 was detected on chromosome 1D across multiple environments explaining 4.39%–5.70% of the phenotypic variation. Forty-seven candidate genes related to disease resistance were found in the interval of Qfhb. haust-1D.1 and Qfhb. haust-4A.1. Genomic prediction accuracies were estimated from the five-fold cross-validation scheme ranging from 0.34 to 0.40 for PSS, and from 0.34 to 0.39 for PSSW in in-vivo inoculation treatment. This study provided new insight into the genetic analysis of resistance to wheat head blight caused by F.v, and genomic selection (GS) as a potential approach for improving the resistance of wheat head blight.
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spelling CGSpace1264842025-12-08T10:29:22Z QTL mapping and genomic prediction of resistance to wheat head blight caused by Fusarium verticillioides Song Junqiao Pang Yuhui Wang Chunping Zhang Xuecai Zeng Zhankui Zhao Dehui Zhang Leiyi Zhang Yong fusarium quantitative trait loci mapping triticum aestivum Fusarium head blight (FHB), is one of the destructive fugue diseases of wheat worldwide caused by the Fusarium verticillioides (F.v). In this study, a population consisting of 262 recombinant inbred lines (RILs) derived from Zhongmai 578 and Jimai 22 was used to map Quantitative Trait Locus (QTL) for FHB resistance, with the genotype data using the wheat 50 K single nucleotide polymorphism (SNP) array. The percentage of symptomatic spikelet (PSS) and the weighted average of PSS (PSSW) were collected for each RIL to represent their resistance to wheat head blight caused by F.v. In total, 22 QTL associated with FHB resistance were identified on chromosomes 1D, 2B, 3B, 4A, 5D, 7A, 7B, and 7D, respectively, from which 10 and 12 QTL were detected from PSS and PSSW respectively, explaining 3.82%–10.57% of the phenotypic variances using the inclusive composite interval mapping method. One novel QTL, Qfhb. haust-4A.1, was identified, explaining 10.56% of the phenotypic variation. One stable QTL, Qfhb. haust-1D.1 was detected on chromosome 1D across multiple environments explaining 4.39%–5.70% of the phenotypic variation. Forty-seven candidate genes related to disease resistance were found in the interval of Qfhb. haust-1D.1 and Qfhb. haust-4A.1. Genomic prediction accuracies were estimated from the five-fold cross-validation scheme ranging from 0.34 to 0.40 for PSS, and from 0.34 to 0.39 for PSSW in in-vivo inoculation treatment. This study provided new insight into the genetic analysis of resistance to wheat head blight caused by F.v, and genomic selection (GS) as a potential approach for improving the resistance of wheat head blight. 2022-10-24 2023-01-03T12:09:47Z 2023-01-03T12:09:47Z Journal Article https://hdl.handle.net/10568/126484 en Open Access application/pdf Frontiers Media Song, J., Pang, Y., Wang, C., Zhang, X., Zeng, Z., Zhao, D., Zhang, L., & Zhang, Y. (2022). QTL mapping and genomic prediction of resistance to wheat head blight caused by Fusarium verticillioides. Frontiers in Genetics, 13. https://doi.org/10.3389/fgene.2022.1039841
spellingShingle fusarium
quantitative trait loci mapping
triticum aestivum
Song Junqiao
Pang Yuhui
Wang Chunping
Zhang Xuecai
Zeng Zhankui
Zhao Dehui
Zhang Leiyi
Zhang Yong
QTL mapping and genomic prediction of resistance to wheat head blight caused by Fusarium verticillioides
title QTL mapping and genomic prediction of resistance to wheat head blight caused by Fusarium verticillioides
title_full QTL mapping and genomic prediction of resistance to wheat head blight caused by Fusarium verticillioides
title_fullStr QTL mapping and genomic prediction of resistance to wheat head blight caused by Fusarium verticillioides
title_full_unstemmed QTL mapping and genomic prediction of resistance to wheat head blight caused by Fusarium verticillioides
title_short QTL mapping and genomic prediction of resistance to wheat head blight caused by Fusarium verticillioides
title_sort qtl mapping and genomic prediction of resistance to wheat head blight caused by fusarium verticillioides
topic fusarium
quantitative trait loci mapping
triticum aestivum
url https://hdl.handle.net/10568/126484
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