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Genomic Variations in the Tea Leafhopper Reveal the Basis of Its Adaptive Evolution.

Publication ,  Journal Article
Zhao, Q; Shi, L; He, W; Li, J; You, S; Chen, S; Lin, J; Wang, Y; Zhang, L; Yang, G; Vasseur, L; You, M
Published in: Genomics Proteomics Bioinformatics
December 2022

Tea green leafhopper (TGL), Empoasca onukii, is of biological and economic interest. Despite numerous studies, the mechanisms underlying its adaptation and evolution remain enigmatic. Here, we use previously untapped genome and population genetics approaches to examine how the pest adapted 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 variations among 54 E. onukii samples unveil the population structure and evolutionary history across different tea-growing regions in China. Our results demonstrate that the genomic changes in key pathways, including those linked to metabolism, circadian rhythms, and immune system functions, may underlie the successful spread and adaptation of E. onukii. This work highlights the genetic and molecular basis underlying the evolutionary success of a species with broad economic impacts, and provides insights into insect adaptation to host plants, which will ultimately facilitate more sustainable pest management.

Duke Scholars

Published In

Genomics Proteomics Bioinformatics

DOI

EISSN

2210-3244

Publication Date

December 2022

Volume

20

Issue

6

Start / End Page

1092 / 1105

Location

England

Related Subject Headings

  • Tea
  • Hemiptera
  • Genetics, Population
  • China
  • Camellia sinensis
  • Bioinformatics
  • Animals
  • 49 Mathematical sciences
  • 46 Information and computing sciences
  • 31 Biological sciences
 

Citation

APA
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ICMJE
MLA
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Zhao, Q., Shi, L., He, W., Li, J., You, S., Chen, S., … You, M. (2022). Genomic Variations in the Tea Leafhopper Reveal the Basis of Its Adaptive Evolution. Genomics Proteomics Bioinformatics, 20(6), 1092–1105. https://doi.org/10.1016/j.gpb.2022.05.011
Zhao, Qian, Longqing Shi, Weiyi He, Jinyu Li, Shijun You, Shuai Chen, Jing Lin, et al. “Genomic Variations in the Tea Leafhopper Reveal the Basis of Its Adaptive Evolution.Genomics Proteomics Bioinformatics 20, no. 6 (December 2022): 1092–1105. https://doi.org/10.1016/j.gpb.2022.05.011.
Zhao Q, Shi L, He W, Li J, You S, Chen S, et al. Genomic Variations in the Tea Leafhopper Reveal the Basis of Its Adaptive Evolution. Genomics Proteomics Bioinformatics. 2022 Dec;20(6):1092–105.
Zhao, Qian, et al. “Genomic Variations in the Tea Leafhopper Reveal the Basis of Its Adaptive Evolution.Genomics Proteomics Bioinformatics, vol. 20, no. 6, Dec. 2022, pp. 1092–105. Pubmed, doi:10.1016/j.gpb.2022.05.011.
Zhao Q, Shi L, He W, Li J, You S, Chen S, Lin J, Wang Y, Zhang L, Yang G, Vasseur L, You M. Genomic Variations in the Tea Leafhopper Reveal the Basis of Its Adaptive Evolution. Genomics Proteomics Bioinformatics. 2022 Dec;20(6):1092–1105.

Published In

Genomics Proteomics Bioinformatics

DOI

EISSN

2210-3244

Publication Date

December 2022

Volume

20

Issue

6

Start / End Page

1092 / 1105

Location

England

Related Subject Headings

  • Tea
  • Hemiptera
  • Genetics, Population
  • China
  • Camellia sinensis
  • Bioinformatics
  • Animals
  • 49 Mathematical sciences
  • 46 Information and computing sciences
  • 31 Biological sciences