Independently evolved and gene flow-accelerated pesticide resistance in two-spotted spider mites
文献类型: 外文期刊
作者: Shi, Pan 1 ; Cao, Li-Jun 1 ; Gong, Ya-Jun 1 ; Ma, Ling 1 ; Song, Wei 1 ; Chen, Jin-Cui 1 ; Hoffmann, Ary A. 2 ; Wei, Shu- 1 ;
作者机构: 1.Beijing Acad Agr & Forestry Sci, Inst Plant & Environm Protect, Beijing, Peoples R China
2.Univ Melbourne, Bio21 Inst, Sch BioSci, Parkville, Vic, Australia
关键词: bifenazate; evolution; genetic structure; resistance; Tetranychus urticae
期刊名称:ECOLOGY AND EVOLUTION ( 影响因子:2.912; 五年影响因子:3.271 )
ISSN: 2045-7758
年卷期: 2019 年 9 卷 4 期
页码:
收录情况: SCI
摘要: Pest species are often able to develop resistance to pesticides used to control them, depending on how rapidly resistance can emerge within a population or spread from another resistant population. We examined the evolution of bifenazate resistance in China in the two-spotted spider mite (TSSM) Tetranychus uticae Koch (Acari: Tetranychidae), one of the most resistant arthropods, by using bioassays, detection of mutations in the target cytb gene, and population genetic structure analysis using microsatellite markers. Bioassays showed variable levels of resistance to bifenazate. The cytb mutation G126S, which confers medium resistance in TSSM to bifenazate, had previously been detected prior to the application of bifenazate and was now widespread, suggesting likely resistance evolution from standing genetic variation. G126S was detected in geographically distant populations across different genetic clusters, pointing to the independent origin of this mutation in different TSSM populations. A novel A269V mutation linked to a low-level resistance was detected in two southern populations. Widespread resistance associated with a high frequency of the G126S allele was found in four populations from the Beijing area which were not genetically differentiated. In this case, a high level of gene flows likely accelerated the development of resistance within this local region, as well as into an outlying region distant from Beijing. These findings, therefore, suggest patterns consistent with both local evolution of pesticide resistance as well as an impact of migration, helping to inform resistance management strategies in TSSM.
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