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

Tong Xiaoling, Han Min-Jin, Lu Kunpeng, Tai Shuaishuai, Liang Shubo, Liu Yucheng, Hu Hai, Shen Jianghong, Long Anxing, Zhan Chengyu, Ding Xin, Liu Shuo, Gao Qiang, Zhang Bili, Zhou Linli, Tan Duan, Y

Journal:Nature Communications

IF:17.69

DOI:10.1038/s41467-022-33366-x

PMID:36153338

Published:2022-09-24

research field:CRISPR技术分子诊断农业与食品病毒学水产养殖

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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