High-resolution silkworm pan-genome provides genetic insights into artificial selection and ecological adaptation

Xiaoling Tong(Southwest University), Minjin Han(Southwest University), Kunpeng Lu(Southwest University), Shuaishuai Tai(BGI Group (China)), Shubo Liang(Southwest University), Yucheng Liu(Shenyang Agricultural University), Hai Hu(Southwest University), Jianghong Shen(Southwest University), Anxing Long(Southwest University), Chengyu Zhan(Southwest University), Xin Shun Ding(Southwest University), Shuo Liu(Southwest University), Qiang Gao(Southwest University), Bili Zhang(Southwest University), Linli Zhou(Southwest University), Duan Tan(Southwest University), Yajie Yuan(Southwest University), Nangkuo Guo(Southwest University), Yanhong Li(BGI Group (China)), Zhangyan Wu(BGI Group (China)), Lulu Liu(Southwest University), Chunlin Li(Southwest University), Yaru Lu(Southwest University), Tingting Gai(Southwest University), Yahui Zhang(Southwest University), Renkui Yang(Chongqing Population and Family Planning Science and Technology Research Institute), Heying Qian(Jiangsu University of Science and Technology), Yan‐Qun Liu(Shenyang Agricultural University), Jiangwen Luo(Southwest University), Lu Zheng(Southwest University), Jinghou Lou(Southwest University), Yunwu Peng(Ankang University), Weidong Zuo(Southwest University), Jiangbo Song(Southwest University), Songzhen He(Southwest University), Songyuan Wu(Southwest University), Yunlong Zou(Southwest University), Lei Zhou(Southwest University), Lan Cheng(Southwest University), Yuxia Tang(Southwest University), Guotao Cheng(Southwest University), Lianwei Yuan(Southwest University), Weiming He(BGI Group (China)), Jiabao Xu(BGI Group (China)), Tao Fu(BGI Group (China)), Yang Xiao(Guangdong Academy of Agricultural Sciences), Ting Lei(Chongqing Population and Family Planning Science and Technology Research Institute), Anying Xu(Jiangsu University of Science and Technology), Ye Yin(BGI Group (China)), Jian Wang(BGI Group (China)), Antónia Monteiro(National University of Singapore), Éric Westhof(Centre National de la Recherche Scientifique), Cheng Lu(Southwest University), Zhixi Tian(Chinese Academy of Sciences), Wen Wang(Northwestern Polytechnical University), Zhonghuai Xiang(Southwest University), Fangyin Dai(Southwest University)
Nature Communications
September 24, 2022
Cited by 169Open Access
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Abstract

Abstract The silkworm Bombyx mori is an important economic insect for producing silk, the “queen of fabrics”. The currently available genomes limit the understanding of its genetic diversity and the discovery of valuable alleles for breeding. Here, we deeply re-sequence 1,078 silkworms and assemble long-read genomes for 545 representatives. We construct a high-resolution pan-genome dataset representing almost the entire genomic content in the silkworm. We find that the silkworm population harbors a high density of genomic variants and identify 7308 new genes, 4260 (22%) core genes, and 3,432,266 non-redundant structure variations (SVs). We reveal hundreds of genes and SVs that may contribute to the artificial selection (domestication and breeding) of silkworm. Further, we focus on four genes responsible, respectively, for two economic (silk yield and silk fineness) and two ecologically adaptive traits (egg diapause and aposematic coloration). Taken together, our population-scale genomic resources will promote functional genomics studies and breeding improvement for silkworm.


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