Whitefly Network Analysis Reveals Gene Modules Involved in Host Plant Selection, Development and Evolution
文献类型： 外文期刊
作者： Tian, Jiahui 1 ; Zhan, Haixia 2 ; Dewer, Youssef 3 ; Zhang, Biyun 2 ; Qu, Cheng 2 ; Luo, Chen 2 ; Li, Fengqi 2 ; Yang, Sh 1 ;
作者机构： 1.Anhui Normal Univ, Sch Ecol & Environm, Wuhu, Peoples R China
2.Beijing Acad Agr & Forestry Sci, Inst Plant & Environm Protect, Beijing Key Lab Environm Friendly Management Frui, Beijing, Peoples R China
3.Agr Res Ctr, Cent Agr Pesticide Lab, Bioassay Res Dept, Giza, Egypt
4.Anhui Normal Univ, Collaborat Innovat Ctr Recovery & Reconstruct Deg, Wuhu, Peoples R China
5.Anhui Normal Univ, Minist Educ, Wuhu, Peoples R China
关键词： weighted gene co-expression network analysis; whitefly; development; host plant; co-expressed genes
期刊名称：FRONTIERS IN PHYSIOLOGY （ 影响因子：3.367； 五年影响因子：3.697 ）
ISSN： 1664-042X
年卷期： 2021 年 12 卷
页码：
收录情况： SCI
摘要： Whiteflies are Hemipterans that typically feed on the undersides of plant leaves. They cause severe damage by direct feeding as well as transmitting plant viruses to a wide range of plants. However, it remains largely unknown which genes play a key role in development and host selection. In this study, weighted gene co-expression network analysis was applied to construct gene co-expression networks in whitefly. Nineteen gene co-expression modules were detected from 15560 expressed genes of whitefly. Combined with the transcriptome data of salivary glands and midgut, we identified three gene co-expression modules related to host plant selection. These three modules contain genes related to host-plant recognition, such as detoxification genes, chemosensory genes and some salivary gland-associated genes. Results of Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analyses elucidated the following pathways involved in these modules: lysosome, metabolic and detoxification pathways. The modules related to the development contain two co-expression modules; moreover, the genes were annotated to the development of chitin-based cuticle. This analysis provides a basis for future functional analysis of genes involved in host-plant recognition.
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