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Pan-genome analysis highlights the role of structural variation in the evolution and environmental adaptation of Asian honeybees

文献类型： 外文期刊

作者： Li, Yancan 1 ; Yao, Jun 1 ; Sang, Huiling 1 ; Wang, Quangui 1 ; Su, Long 3 ; Zhao, Xiaomeng 4 ; Xia, Zhenyu 1 ; Wang, Feiran 1 ; Wang, Kai 1 ; Lou, Delong 5 ; Wang, Guizhi 6 ; Waterhouse, Robert M. 7 ; Wang, Huihua 1 ; Luo, Shudong 1 ; Sun, Cheng 9 ;

作者机构： 1.Chinese Acad Agr Sci, Inst Apicultural Res, State Key Lab Resource Insects, Beijing, Peoples R China

2.Chinese Acad Agr Sci, Western Res Inst, Changji, Peoples R China

3.Shandong Acad Agr Sci, Inst Plant Protect, Jinan, Peoples R China

4.Shanxi Agr Univ, Coll Anim Sci, Jinzhong, Shanxi, Peoples R China

5.Shandong Prov Anim Husb Stn, Jinan, Peoples R China

6.Shandong Agr Univ, Dept Anim Sci, Tai An, Peoples R China

7.Univ Lausanne, Dept Ecol & Evolut, Lausanne, Switzerland

8.SIB Swiss Inst Bioinformat, Lausanne, Switzerland

9.Capital Normal Univ, Coll Life Sci, Beijing, Peoples R China

关键词： adaptation; Apis cerana; genome environment association analyses; pan-genome; presence/absence variation; structural variation

期刊名称：MOLECULAR ECOLOGY RESOURCES （ 影响因子：7.7； 五年影响因子：8.0 ）

ISSN： 1755-098X

年卷期： 2023 年

页码：

收录情况： SCI

摘要： The Asian honeybee, Apis cerana, is an ecologically and economically important pollinator. Mapping its genetic variation is key to understanding population-level health, histories and potential capacities to respond to environmental changes. However, most efforts to date were focused on single nucleotide polymorphisms (SNPs) based on a single reference genome, thereby ignoring larger scale genomic variation. We employed long-read sequencing technologies to generate a chromosome-scale reference genome for the ancestral group of A. cerana. Integrating this with 525 resequencing data sets, we constructed the first pan-genome of A. cerana, encompassing almost the entire gene content. We found that 31.32% of genes in the pan-genome were variably present across populations, providing a broad gene pool for environmental adaptation. We identified and characterized structural variations (SVs) and found that they were not closely linked with SNP distributions; however, the formation of SVs was closely associated with transposable elements. Furthermore, phylogenetic analysis using SVs revealed a novel A. cerana ecological group not recoverable from the SNP data. Performing environmental association analysis identified a total of 44 SVs likely to be associated with environmental adaptation. Verification and analysis of one of these, a 330 bp deletion in the Atpalpha gene, indicated that this SV may promote the cold adaptation of A. cerana by altering gene expression. Taken together, our study demonstrates the feasibility and utility of applying pan-genome approaches to map and explore genetic feature variations of honeybee populations, and in particular to examine the role of SVs in the evolution and environmental adaptation of A. cerana.

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