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Pan-genome analysis highlights the role of structural variation in the evolution and environmental adaptation of Asian honeybees
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  • Yancan Li,
  • Jun Yao,
  • Huiling Sang,
  • Quangui Wang,
  • Long Su,
  • Xiaomeng Zhao,
  • Zhenyu Xia,
  • Feiran Wang,
  • Kai Wang,
  • Delong Lou,
  • GuiZhi Wang,
  • Robert Waterhouse,
  • Huihua Wang,
  • Shudong Luo,
  • Cheng Sun
Yancan Li
Chinese Academy of Agricultural Sciences
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Jun Yao
Chinese Academy of Agricultural Sciences
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Huiling Sang
Chinese Academy of Agricultural Sciences
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Quangui Wang
Chinese Academy of Agricultural Sciences
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Long Su
Shandong Academy of Agricultural Sciences
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Xiaomeng Zhao
Shanxi Agricultural University
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Zhenyu Xia
Chinese Academy of Agricultural Sciences
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Feiran Wang
Chinese Academy of Agricultural Sciences
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Kai Wang
Chinese Academy of Agricultural Sciences
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Delong Lou
Shandong Provincial Animal Husbandry Station
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GuiZhi Wang
Shandong Agricultural University
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Robert Waterhouse
University of Lausanne
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Huihua Wang
CAAS
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Shudong Luo
Chinese Academy of Agricultural Sciences
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Cheng Sun
Chinese Academy of Agricultural Sciences

Corresponding Author:[email protected]

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Abstract

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 datasets, 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.
23 Nov 2023Published in Molecular Ecology Resources. https://doi.org/10.1111/1755-0998.13905