项目编号 PRJCA005189
项目标题 Genomic variation in the tea leafhopper reveals the basis of adaptive evolution
涉及领域 Evolution
数据类型 Genome sequencing and assembly
物种名称 Empoasca onukii
描述信息 The tea green leafhopper, Empoasca onukii, is of critical biological and economic interest (Chen, et al. 2019). Despite decades of study and extensive public attention (Fu, et al. 2014), the mechanism underlying its adaptation and evolution remain enigmatic. Here we use previously untapped genome and population genetics approaches to examine how this pest so rapidly adapts to different environmental variables and thus has expanded geographically. We complete a chromosome-level assembly and annotation of the E. onukii genome, showing notable expansions of gene families associated with adaptation to chemoreception and detoxification. Genomic signals indicating balancing selection highlight metabolic pathways involved in adaptation to a wide range of tea varieties grown across ecologically diverse regions. Patterns of genetic variation among 57 55 E. onukii samples unveil the evolutionary history and potential dispersal routes across different tea-growing regions in China. Our results demonstrate that the genomic change in key pathways, including those linked to metabolism, circadian rhythms and immune system function, may underlie the successful spread and adaptation of E. onukii. This work highlights the genetic and molecular bases underlying the evolutionary success of a species with broad economic impact, and provides insight into insect adaptation to host plants, which will ultimately facilitate more sustainable pest management.
样品范围 Monoisolate
发布日期 2021-05-31
项目资金来源
机构 项目类型 授权项目ID 授权项目名称
The National Key R & D Program of China 2019YFD1002100
Fujian Agriculture and Forestry University Construction Project for Technological Innovation and Service System of Tea Industry Chain K1520005A03
Key International Science and Technology cooperation Project of China 2016YFE0102100
提交者 Jing lin (lolyemily@163.com)
提交单位 Fujian Agriculture and Forestry University
提交日期 2021-05-19

项目包含数据信息

资源名称 描述
BioSample (66)  show -
GSA (1) -
CRA005085 RNA-seq And ONT of Empoasca