1. De novo characterization of the pine aphid Cinara pinitabulaeformis Zhang et Zhang transcriptome and analysis of genes relevant to pesticides
- Author
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Xia Hu, Songqing Wu, Xiaoli Zhu, Qiannan Lin, Yajie Guo, Guanghong Liang, Wang Rong, Feiping Zhang, Carballar-Lejarazú Rebeca, Zhicheng Huang, and Xiong Guan
- Subjects
0301 basic medicine ,Insecticides ,lcsh:Medicine ,Genes, Insect ,Biochemistry ,Heat Shock Response ,Trees ,Transcriptome ,Database and Informatics Methods ,RNA interference ,lcsh:Science ,Cellular Stress Responses ,Genetics ,Aphid ,Multidisciplinary ,biology ,Agriculture ,Genomics ,Plants ,Insects ,Nucleic acids ,Genetic interference ,Cell Processes ,cardiovascular system ,Epigenetics ,Agrochemicals ,Transcriptome Analysis ,Sequence Analysis ,hormones, hormone substitutes, and hormone antagonists ,Research Article ,medicine.medical_specialty ,Arthropoda ,Bioinformatics ,Zhàng ,Sequence Databases ,Research and Analysis Methods ,DNA sequencing ,03 medical and health sciences ,Molecular genetics ,medicine ,Animals ,KEGG ,Pesticides ,Gene ,lcsh:R ,Organisms ,Biology and Life Sciences ,Computational Biology ,Cell Biology ,biology.organism_classification ,Pinus ,Genome Analysis ,Invertebrates ,030104 developmental biology ,Biological Databases ,Aphids ,RNA ,lcsh:Q ,Gene expression ,Pest Control ,Pines - Abstract
The pine aphid Cinara pinitabulaeformis Zhang et Zhang is the main pine pest in China, it causes pine needles to produce dense dew (honeydew) which can lead to sooty mold (black filamentous saprophytic ascomycetes). Although common chemical and physical strategies are used to prevent the disease caused by C. pinitabulaeformis Zhang et Zhang, new strategies based on biological and/or genetic approaches are promising to control and eradicate the disease. However, there is no information about genomics, proteomics or transcriptomics to allow the design of new control strategies for this pine aphid. We used next generation sequencing technology to sequence the transcriptome of C. pinitabulaeformis Zhang et Zhang and built a transcriptome database. We identified 80,259 unigenes assigned for Gene Ontology (GO) terms and information for a total of 11,609 classified unigenes was obtained in the Clusters of Orthologous Groups (COGs). A total of 10,806 annotated unigenes were analyzed to identify the represented biological pathways, among them 8,845 unigenes matched with 228 KEGG pathways. In addition, our data describe propagative viruses, nutrition-related genes, detoxification related molecules, olfactory related receptors, stressed-related protein, putative insecticide resistance genes and possible insecticide targets. Moreover, this study provides valuable information about putative insecticide resistance related genes and for the design of new genetic/biological based strategies to manage and control C. pinitabulaeformis Zhang et Zhang populations.
- Published
- 2016