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      Transcriptome analysis of the salivary glands of the grain aphid, Sitobion avenae

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          Abstract

          Aphid saliva plays important roles in aphid-host interactions, such as assisting aphid digestion, detoxification, activating or suppressing plant defenses. The grain aphid, Sitobion avenae, is one of the most devastating pests of cereals worldwide. In this study, we performed the transcriptome analysis of salivary glands of S. avenae. A total of 33,079 assembled unigenes were identified in the salivary glands of aphids. Of the all obtained unigenes, 15,833(47.86%) and 10,829(32.73%) unigenes showed high similarity to known proteins in Nr and Swiss-Prot databases respectively. 526 unigenes were predicted to encode secretory proteins, including some digestive and detoxifying enzymes and potential effectors. The RT-PCR and RT-qPCR results showed that all of the 15 most highly expressed putative secretory proteins specifically expressed in salivary glands. Interestingly, 11 of the 15 most highly expressed putative secretory proteins were still not matched to function-known proteins. We also detected the expression of 9 interested putative secretory proteins in aphid different tissues, including some digestive and detoxifying enzymes, effectors and Ca 2+ binding proteins. The results showed that only glutathione-S-transferase 1 was specifically expressed in salivary glands. These findings provide a further insight into the identification of potential effectors involving in aphid-cereals interactions.

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          Molecular mechanisms of metabolic resistance to synthetic and natural xenobiotics.

          Xenobiotic resistance in insects has evolved predominantly by increasing the metabolic capability of detoxificative systems and/or reducing xenobiotic target site sensitivity. In contrast to the limited range of nucleotide changes that lead to target site insensitivity, many molecular mechanisms lead to enhancements in xenobiotic metabolism. The genomic changes that lead to amplification, overexpression, and coding sequence variation in the three major groups of genes encoding metabolic enzymes, i.e., cytochrome P450 monooxygenases (P450s), esterases, and glutathione-S-transferases (GSTs), are the focus of this review. A substantial number of the adaptive genomic changes associated with insecticide resistance that have been characterized to date are transposon mediated. Several lines of evidence suggest that P450 genes involved in insecticide resistance, and perhaps insecticide detoxification genes in general, may share an evolutionary association with genes involved in allelochemical metabolism. Differences in the selective regime imposed by allelochemicals and insecticides may account for the relative importance of regulatory or structural mutations in conferring resistance.
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            The evolutionary ecology of insect resistance to plant chemicals.

            Understanding the diversity of insect responses to chemical pressures (e.g. plant allelochemicals and pesticides) in their local ecological context represents a key challenge in developing durable pest control strategies. To what extent do the resistance mechanisms evolved by insects to deal with the chemical defences of plants differ from those that have evolved to resist insecticides? Here, we review recent advances in our understanding of insect resistance to plant chemicals, with a special emphasis on their underlying molecular basis, evaluate costs associated with each resistance trait, and discuss the ecological and evolutionary significance of these findings.
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              Avoiding effective defenses: strategies employed by phloem-feeding insects.

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                Author and article information

                Contributors
                Frederic.Francis@ulg.ac.be
                jlchen@ippcaas.cn
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                21 November 2017
                21 November 2017
                2017
                : 7
                : 15911
                Affiliations
                [1 ]ISNI 0000 0001 0526 1937, GRID grid.410727.7, State Key Laboratory of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, ; Beijing, 100193 P.R. China
                [2 ]ISNI 0000 0001 2297 9043, GRID grid.410510.1, Functional and Evolutionary Entomology, Gembloux Agro-Bio Tech, University of Liège, ; Gembloux, B-5030 Belgium
                Article
                16092
                10.1038/s41598-017-16092-z
                5698471
                29162876
                553f6b21-be33-47d3-adb6-ca457ebc2abc
                © The Author(s) 2017

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 22 June 2017
                : 7 November 2017
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