The Evolution of Fungicide Resistance

被引:357
|
作者
Lucas, John A. [1 ]
Hawkins, Nichola J. [1 ]
Fraaije, Bart A. [1 ]
机构
[1] Rothamsted Res, Dept Biol Chem & Crop Protect, Harpenden, Herts, England
来源
ADVANCES IN APPLIED MICROBIOLOGY, VOL 90 | 2015年 / 90卷
基金
英国生物技术与生命科学研究理事会;
关键词
BETA-TUBULIN GENE; F-SP TRITICI; UNDERSTANDING MOLECULAR-MECHANISMS; STEROL 14-ALPHA-DEMETHYLASE CYP51; HETEROTHALLIC MATING SYSTEM; BOTRYTIS-CINEREA RESISTANT; AMINO-ACID SUBSTITUTIONS; QO INHIBITOR FUNGICIDES; FUSARIUM EAR BLIGHT; PCR-BASED DETECTION;
D O I
10.1016/bs.aambs.2014.09.001
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Fungicides are widely used in developed agricultural systems to control disease and safeguard crop yield and quality. Over time, however, resistance to many of the most effective fungicides has emerged and spread in pathogen populations, compromising disease control. This review describes the development of resistance using case histories based on four important diseases of temperate cereal crops: eyespot (Oculimacula yallundae and Oculimacula acuformis), Septoria tritici blotch (Zymoseptoria tritici), powdery mildew (Blumeria graminis), and Fusarium ear blight (a complex of Fusarium and Microdochium spp). The sequential emergence of variant genotypes of these pathogens with reduced sensitivity to the most active single-site fungicides, methyl benzimidazole carbamates, demethylation inhibitors, quinone outside inhibitors, and succinate dehydrogenase inhibitors illustrates an ongoing evolutionary process in response to the introduction and use of different chemical classes. Analysis of the molecular mechanisms and genetic basis of resistance has provided more rapid and precise methods for detecting and monitoring the incidence of resistance in field populations, but when or where resistance will occur remains difficult to predict. The extent to which the predictability of resistance evolution can be improved by laboratory mutagenesis studies and fitness measurements, comparison between pathogens, and reconstruction of evolutionary pathways is discussed. Risk models based on fungal life cycles, fungicide properties, and exposure to the fungicide are now being refined to take account of additional traits associated with the rate of pathogen evolution. Experimental data on the selection of specific mutations or resistant genotypes in pathogen populations in response to fungicide treatments can be used in models evaluating the most effective strategies for reducing or preventing resistance. Resistance management based on robust scientific evidence is vital to prolong the effective life of fungicides and safeguard their future use in crop protection.
引用
收藏
页码:29 / 92
页数:64
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