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      UDP-glucosyltransferases potentially contribute to imidacloprid resistance in Aphis gossypii glover based on transcriptomic and proteomic analyses

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      Pesticide Biochemistry and Physiology
      Elsevier BV

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          Abstract

          <p class="first" id="d3817896e107">The cotton aphid, Aphis gossypii Glover, is a destructive global crop pest. Control of A. gossypii has relied heavily on the application of chemical insecticides. The cotton aphid has developed resistance to numerous insecticides, including imidacloprid, which has been widely used to control cotton pests in China since the 1990s. Our objective was to investigate the potential role of UDP-glycosyltransferases (UGTs) in imidacloprid resistance based on transcriptomic and proteomic analyses of field-originated imidacloprid-resistant (IMI_R) and -susceptible (IMI_S) A. gossypii clones. The transcriptomic and proteomic analyses revealed that 12 out of 512 differentially expressed genes and three out of 510 differentially expressed proteins were predicted as UDP-glycosyltransferase (UGT). Based on quantitative real-time PCR analysis, nine UGT genes, UGT343A4, UGT344A15, UGT344A16, UGT344B4, UGT344C7, UGT344C9, UGT344N4, UGT 24541, and UGT7630, were up-regulated in the IMI_R clone compared to the IMI_S clone. Meanwhile, UGT344A16, UGT344B4, UGT344C7, and UGT344N4 were overexpressed at the protein level based on western blot analysis. Furthermore, knockdown of UGT344B4 or UGT344C7 using RNA interference (RNAi) significantly increased sensitivity to imidacloprid in the IMI_R clone. In conclusion, UGTs potentially contributed to imidacloprid resistance in A. gossypii originating from cotton-growing regions of China. These results provide insights into the way we study insecticide resistance in cotton aphids. </p>

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          Author and article information

          Journal
          Pesticide Biochemistry and Physiology
          Pesticide Biochemistry and Physiology
          Elsevier BV
          00483575
          June 2019
          June 2019
          Article
          10.1016/j.pestbp.2019.06.002
          31400791
          f285f315-9f6d-4b9d-ad62-4112b12b359c
          © 2019

          https://www.elsevier.com/tdm/userlicense/1.0/

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