Disease resistance in rice and the role of molecular breeding in protecting rice crops against diseases |
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Authors: | Shah Fahad Lixiao Nie Faheem Ahmed Khan Yutiao Chen Saddam Hussain Chao Wu Dongliang Xiong Wang Jing Shah Saud Farhan Anwar Khan Yong Li Wei Wu Fahad Khan Shah Hassan Abdul Manan Amanullah Jan Jianliang Huang |
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Institution: | 1. National Key Laboratory of Crop Genetic Improvement, MOA Key Laboratory of Crop Ecophysiology and Farming System in the Middle Reaches of the Yangtze River, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, 430070, Hubei, China 2. Molecular Biotechnology Laboratory for Triticeae Crops/Key Laboratory of Animal Genetics, Breeding and Reproduction, Huazhong Agricultural University, Wuhan, Hubei, China 3. Department of Horticulture, Northeast Agricultural University, Harbin, 150030, China 4. State Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China 5. College of Agronomy, Northwest A&F University, Yangling, Shaanxi, 7121000, China 6. Khyber Paktunkhwa Agricultural University, Peshawar, 25000, Pakistan 8. College of Life Science, State Key Laboratory Department of Microbiology, Huazhong Agricultural University, Wuhan, China 7. Department of Agronomy, Khyber Paktunkhwa Agricultural University, Peshawar, 25000, Pakistan
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Abstract: | Rice diseases (bacterial, fungal, or viral) threaten food productivity. Host resistance is the most efficient, environmentally friendly method to cope with such diverse pathogens. Quantitative resistance conferred by quantitative trait loci (QTLs) is a valuable resource for rice disease resistance improvement. Although QTLs confer partial but durable resistance to many pathogen species in different crop plants, the molecular mechanisms of quantitative disease resistance remain mostly unknown. Quantitative resistance and non-host resistance are types of broad-spectrum resistance, which are mediated by resistance (R) genes. Because R genes activate different resistance pathways, investigating the genetic spectrum of resistance may lead to minimal losses from harmful diseases. Genome studies can reveal interactions between different genes and their pathways and provide insight into gene functions. Protein–protein interaction (proteomics) studies using molecular and bioinformatics tools may further enlighten our understanding of resistance phenomena. |
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