文献类型： 外文期刊

作者： Ma, Li-Jun ¹ ; Cao, Li-Jun ¹ ; Chen, Jin-Cui ¹ ; Tang, Meng-Qing ¹ ; Song, Wei ¹ ; Yang, Fang-Yuan ¹ ; Shen, Xiu-Jing ¹ ; Ren, Ya-Jing ¹ ; Yang, Qiong ⁴ ; Li, Hu ² ; Hoffmann, Ary Anthony ⁴ ; Wei, Shu-Jun ¹ ;

作者机构： 1.Beijing Acad Agr & Forestry Sci, Inst Plant Protect, Beijing 100097, Peoples R China

2.China Agr Univ, Coll Plant Protect, Dept Entomol, Beijing 100193, Peoples R China

3.China Agr Univ, Coll Plant Protect, MOA Key Lab Pest Monitoring & Green Management, Beijing 100193, Peoples R China

4.Univ Melbourne, Bio21 Inst, Sch BioSci, Parkville, Vic 3010, Australia

关键词： climate change; population genomics; local adaption; phenotypic variation; structure variation

期刊名称：MOLECULAR BIOLOGY AND EVOLUTION （ 影响因子：10.7； 五年影响因子：15.1 ）

ISSN： 0737-4038

年卷期： 2024 年 41 卷 3 期

页码：

收录情况： SCI

摘要： Following invasion, insects can become adapted to conditions experienced in their invasive range, but there are few studies on the speed of adaptation and its genomic basis. Here, we examine a small insect pest, Thrips palmi, following its contemporary range expansion across a sharp climate gradient from the subtropics to temperate areas. We first found a geographically associated population genetic structure and inferred a stepping-stone dispersal pattern in this pest from the open fields of southern China to greenhouse environments of northern regions, with limited gene flow after colonization. In common garden experiments, both the field and greenhouse groups exhibited clinal patterns in thermal tolerance as measured by critical thermal maximum (CTmax) closely linked with latitude and temperature variables. A selection experiment reinforced the evolutionary potential of CTmax with an estimated h2 of 6.8% for the trait. We identified 3 inversions in the genome that were closely associated with CTmax, accounting for 49.9%, 19.6%, and 8.6% of the variance in CTmax among populations. Other genomic variations in CTmax outside the inversion region were specific to certain populations but functionally conserved. These findings highlight rapid adaptation to CTmax in both open field and greenhouse populations and reiterate the importance of inversions behaving as large-effect alleles in climate adaptation.