Evidence map›Paper›PMID 41649680›Full record

ArticleCrop health2024

Whole-genome resequencing of tea grey geometrid provides insights into their population structure and adaptation to tea crops.

Ruizhong Yuan, Yusi Chen, Xiaogui Zhou, Xiaohan Shu, Zhaohe Lu, Pu Tang, Xiqian Ye, Zhizhi Wang

Abstract read
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Article in Crop health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Ruizhong YuanInstitute of Insect Sciences, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, 310058, China.
Yusi ChenInstitute of Insect Sciences, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, 310058, China.
Xiaogui ZhouKey Laboratory of Tea Biology and Resources Utilization, Ministry of Agriculture, National Center for Tea Improvement, Tea Research Institute, Chinese Academy of Agricultural Sciences, Hangzhou, 310008, China.
Xiaohan ShuInstitute of Insect Sciences, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, 310058, China.
Zhaohe LuInstitute of Insect Sciences, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, 310058, China.
Pu TangInstitute of Insect Sciences, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, 310058, China.
Xiqian YeInstitute of Insect Sciences, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, 310058, China.
Zhizhi WangInstitute of Insect Sciences, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, 310058, China. zzwang0730@zju.edu.cn.ORCID http://orcid.org/0000-0003-0189-1741

Funding

Innovative Research Group Project of the National Natural Science Foundation of China 32272607Key Research and Development Program of Zhejiang Province 2021C02045the Guangdong Laboratory of Lingnan Modern Agriculture Project NT2021003the National Key Research and Development Plan 2019YFD1002101the Natural Science Foundation of China U22A20485
6 · The paper itself

Abstract

Tea grey geometrid, Ectropis grisescens (Lepidoptera: Geometridae), is a chewing defoliator of high fecundity and gluttony, whose larvae heavily consume leaves and shoots, and consequently cause significant losses to tea crops in terms of both yield and quality. Nevertheless, a lack of population genome information has hindered previous research on the species as a tea crop pest. Here, we re-sequenced genomes of 43 tea grey geometrid individuals representing 13 distinct geographic regions and 12 individuals of its sibling species, the tea geometrid Ectropis obliqua (Lepidoptera: Geometridae), collected from four different sites in China. A genomic variation atlas of 627,569 single-nucleotide polymorphisms (SNPs) from whole-genome resequencing of 43 individuals was identified. Surprisingly, the populations of the tea grey geometrid (EG) are found to be assigned into two distinct subpopulations, EGA and EGB. The sample locations indicate that the subpopulation EGA is mainly distributed in the region of Zhejiang Province, where it co-occurred with tea geometrids (EO). The EGB subpopulation is distributed in the southern and central areas of China. Demographic history analysis has revealed fluctuations in population size of the tea grey geometrid over time, but following tea cultivation, the population size has started to stabilize. Meanwhile, the migration event analysis has uncovered a significant migration event between EGA and EO. Furthermore, genes (such as P-glycoprotein and lactase) under selection show possible metabolic adaptation of tea grey geometrid to the tea plants. These findings provide a broader foundation and additional resources for understanding the geometrid evolution and the genetic mechanisms underlying agriculturally important traits.

Indexed as

Evolution historyGenomic variationLocal adaptationPopulation geneticsTea grey geometrid

Identifiers

PMID41649680
PMCPMC12825984

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