Disease resistance in rice and the role of molecular breeding in protecting rice crops against diseases

被引:0
|
作者
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
机构
[1] Huazhong Agricultural University,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
[2] Huazhong Agricultural University,Molecular Biotechnology Laboratory for Triticeae Crops/Key Laboratory of Animal Genetics, Breeding and Reproduction
[3] Northeast Agricultural University,Department of Horticulture
[4] Huazhong Agricultural University,State Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine
[5] Northwest A&F University,College of Agronomy
[6] Khyber Paktunkhwa Agricultural University,Department of Agronomy
[7] Khyber Paktunkhwa Agricultural University,College of Life Science, State Key Laboratory Department of Microbiology
[8] Huazhong Agricultural University,undefined
来源
Biotechnology Letters | 2014年 / 36卷
关键词
Bioinformatics; Molecular breeding; Quantitative resistance; Quantitative trait loci; genes; Rice; Rice disease;
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中图分类号
学科分类号
摘要
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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页码:1407 / 1420
页数:13
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