Integration of meta-QTL discovery with omics: Towards a molecular breeding platform for improving wheat resistance to Fusarium head blight
Fusarium head blight (FHB) is a global wheat disease that devastates wheat production. Resistance to FHB spread within a wheat spike (type II resistance) and to mycotoxin accumulation in infected kernel (type III resistance) are the two main types of resistance. Of hundreds of QTL that have been rep...
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
KeAi Communications Co., Ltd.
2021-08-01
|
| Series: | Crop Journal |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S221451412030177X |
| _version_ | 1818778968894996480 |
|---|---|
| author | Tong Zheng Chen Hua Lei Li Zhengxi Sun Minmin Yuan Guihua Bai Gavin Humphreys Tao Li |
| author_facet | Tong Zheng Chen Hua Lei Li Zhengxi Sun Minmin Yuan Guihua Bai Gavin Humphreys Tao Li |
| author_sort | Tong Zheng |
| collection | DOAJ |
| description | Fusarium head blight (FHB) is a global wheat disease that devastates wheat production. Resistance to FHB spread within a wheat spike (type II resistance) and to mycotoxin accumulation in infected kernel (type III resistance) are the two main types of resistance. Of hundreds of QTL that have been reported, only a few can be used in wheat breeding because most show minor and/or inconsistent effects in different genetic backgrounds. We describe a new strategy for identifying robust and reliable meta-QTL (mQTL) that can be used for improvement of wheat FHB resistance. It involves integration of mQTL analysis with mQTL physical mapping and identification of single-copy markers and candidate genes. Using meta-analysis, we consolidated 625 original QTL from 113 publications into 118 genetic map-based mQTL (gmQTL). These gmQTL were further located on the Chinese Spring reference sequence map. Finally, 77 high-confidence mQTL (hcmQTL) were selected from the reference sequence-based mQTL (smQTL). Locus-specific single nucleotide polymorphism (SNP) and simple sequence repeat (SSR) markers and 17 genes responsive to FHB were then identified in the hcmQTL intervals by combined analysis of transcriptomic and proteomic data. This work may lead to a comprehensive molecular breeding platform for improving wheat resistance to FHB. |
| first_indexed | 2024-12-18T11:53:09Z |
| format | Article |
| id | doaj.art-1b0e234080144f2f916bf1f9c665d8c2 |
| institution | Directory Open Access Journal |
| issn | 2214-5141 |
| language | English |
| last_indexed | 2024-12-18T11:53:09Z |
| publishDate | 2021-08-01 |
| publisher | KeAi Communications Co., Ltd. |
| record_format | Article |
| series | Crop Journal |
| spelling | doaj.art-1b0e234080144f2f916bf1f9c665d8c22022-12-21T21:09:07ZengKeAi Communications Co., Ltd.Crop Journal2214-51412021-08-0194739749Integration of meta-QTL discovery with omics: Towards a molecular breeding platform for improving wheat resistance to Fusarium head blightTong Zheng0Chen Hua1Lei Li2Zhengxi Sun3Minmin Yuan4Guihua Bai5Gavin Humphreys6Tao Li7Key Laboratory of Plant Functional Genomics of the Ministry of Education/Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding/Collaborative Innovation of Modern Crops and Food Crops in Jiangsu/Jiangsu Key Laboratory of Crop Genetics and Physiology, College of Agriculture, Yangzhou University, Yangzhou 225009, Jiangsu, ChinaKey Laboratory of Plant Functional Genomics of the Ministry of Education/Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding/Collaborative Innovation of Modern Crops and Food Crops in Jiangsu/Jiangsu Key Laboratory of Crop Genetics and Physiology, College of Agriculture, Yangzhou University, Yangzhou 225009, Jiangsu, ChinaKey Laboratory of Plant Functional Genomics of the Ministry of Education/Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding/Collaborative Innovation of Modern Crops and Food Crops in Jiangsu/Jiangsu Key Laboratory of Crop Genetics and Physiology, College of Agriculture, Yangzhou University, Yangzhou 225009, Jiangsu, ChinaKey Laboratory of Plant Functional Genomics of the Ministry of Education/Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding/Collaborative Innovation of Modern Crops and Food Crops in Jiangsu/Jiangsu Key Laboratory of Crop Genetics and Physiology, College of Agriculture, Yangzhou University, Yangzhou 225009, Jiangsu, ChinaKey Laboratory of Plant Functional Genomics of the Ministry of Education/Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding/Collaborative Innovation of Modern Crops and Food Crops in Jiangsu/Jiangsu Key Laboratory of Crop Genetics and Physiology, College of Agriculture, Yangzhou University, Yangzhou 225009, Jiangsu, ChinaUSDA-ARS, Hard Winter Wheat Genetics Research Unit, Manhattan, KS 66506, USAAgriculture & Agrifood Canada, Ottawa Research & Development Centre, Ottawa, ON K1A 0C6, CanadaKey Laboratory of Plant Functional Genomics of the Ministry of Education/Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding/Collaborative Innovation of Modern Crops and Food Crops in Jiangsu/Jiangsu Key Laboratory of Crop Genetics and Physiology, College of Agriculture, Yangzhou University, Yangzhou 225009, Jiangsu, China; Corresponding author.Fusarium head blight (FHB) is a global wheat disease that devastates wheat production. Resistance to FHB spread within a wheat spike (type II resistance) and to mycotoxin accumulation in infected kernel (type III resistance) are the two main types of resistance. Of hundreds of QTL that have been reported, only a few can be used in wheat breeding because most show minor and/or inconsistent effects in different genetic backgrounds. We describe a new strategy for identifying robust and reliable meta-QTL (mQTL) that can be used for improvement of wheat FHB resistance. It involves integration of mQTL analysis with mQTL physical mapping and identification of single-copy markers and candidate genes. Using meta-analysis, we consolidated 625 original QTL from 113 publications into 118 genetic map-based mQTL (gmQTL). These gmQTL were further located on the Chinese Spring reference sequence map. Finally, 77 high-confidence mQTL (hcmQTL) were selected from the reference sequence-based mQTL (smQTL). Locus-specific single nucleotide polymorphism (SNP) and simple sequence repeat (SSR) markers and 17 genes responsive to FHB were then identified in the hcmQTL intervals by combined analysis of transcriptomic and proteomic data. This work may lead to a comprehensive molecular breeding platform for improving wheat resistance to FHB.http://www.sciencedirect.com/science/article/pii/S221451412030177XWheatFusarium head blightHigh-confidence meta-QTLOmics |
| spellingShingle | Tong Zheng Chen Hua Lei Li Zhengxi Sun Minmin Yuan Guihua Bai Gavin Humphreys Tao Li Integration of meta-QTL discovery with omics: Towards a molecular breeding platform for improving wheat resistance to Fusarium head blight Crop Journal Wheat Fusarium head blight High-confidence meta-QTL Omics |
| title | Integration of meta-QTL discovery with omics: Towards a molecular breeding platform for improving wheat resistance to Fusarium head blight |
| title_full | Integration of meta-QTL discovery with omics: Towards a molecular breeding platform for improving wheat resistance to Fusarium head blight |
| title_fullStr | Integration of meta-QTL discovery with omics: Towards a molecular breeding platform for improving wheat resistance to Fusarium head blight |
| title_full_unstemmed | Integration of meta-QTL discovery with omics: Towards a molecular breeding platform for improving wheat resistance to Fusarium head blight |
| title_short | Integration of meta-QTL discovery with omics: Towards a molecular breeding platform for improving wheat resistance to Fusarium head blight |
| title_sort | integration of meta qtl discovery with omics towards a molecular breeding platform for improving wheat resistance to fusarium head blight |
| topic | Wheat Fusarium head blight High-confidence meta-QTL Omics |
| url | http://www.sciencedirect.com/science/article/pii/S221451412030177X |
| work_keys_str_mv | AT tongzheng integrationofmetaqtldiscoverywithomicstowardsamolecularbreedingplatformforimprovingwheatresistancetofusariumheadblight AT chenhua integrationofmetaqtldiscoverywithomicstowardsamolecularbreedingplatformforimprovingwheatresistancetofusariumheadblight AT leili integrationofmetaqtldiscoverywithomicstowardsamolecularbreedingplatformforimprovingwheatresistancetofusariumheadblight AT zhengxisun integrationofmetaqtldiscoverywithomicstowardsamolecularbreedingplatformforimprovingwheatresistancetofusariumheadblight AT minminyuan integrationofmetaqtldiscoverywithomicstowardsamolecularbreedingplatformforimprovingwheatresistancetofusariumheadblight AT guihuabai integrationofmetaqtldiscoverywithomicstowardsamolecularbreedingplatformforimprovingwheatresistancetofusariumheadblight AT gavinhumphreys integrationofmetaqtldiscoverywithomicstowardsamolecularbreedingplatformforimprovingwheatresistancetofusariumheadblight AT taoli integrationofmetaqtldiscoverywithomicstowardsamolecularbreedingplatformforimprovingwheatresistancetofusariumheadblight |