Cargando…

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

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...

Descripción completa

Detalles Bibliográficos
Autores principales: 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, Yuan, Yajie, Guo, Nangkuo, Li, Yan-Hong, Wu, Zhangyan, Liu, Lulu, Li, Chunlin, Lu, Yaru, Gai, Tingting, Zhang, Yahui, Yang, Renkui, Qian, Heying, Liu, Yanqun, Luo, Jiangwen, Zheng, Lu, Lou, Jinghou, Peng, Yunwu, Zuo, Weidong, Song, Jiangbo, He, Songzhen, Wu, Songyuan, Zou, Yunlong, Zhou, Lei, Cheng, Lan, Tang, Yuxia, Cheng, Guotao, Yuan, Lianwei, He, Weiming, Xu, Jiabao, Fu, Tao, Xiao, Yang, Lei, Ting, Xu, Anying, Yin, Ye, Wang, Jian, Monteiro, Antónia, Westhof, Eric, Lu, Cheng, Tian, Zhixi, Wang, Wen, Xiang, Zhonghuai, Dai, Fangyin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9509368/
https://www.ncbi.nlm.nih.gov/pubmed/36153338
http://dx.doi.org/10.1038/s41467-022-33366-x
_version_ 1784797225712353280
author 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
Yuan, Yajie
Guo, Nangkuo
Li, Yan-Hong
Wu, Zhangyan
Liu, Lulu
Li, Chunlin
Lu, Yaru
Gai, Tingting
Zhang, Yahui
Yang, Renkui
Qian, Heying
Liu, Yanqun
Luo, Jiangwen
Zheng, Lu
Lou, Jinghou
Peng, Yunwu
Zuo, Weidong
Song, Jiangbo
He, Songzhen
Wu, Songyuan
Zou, Yunlong
Zhou, Lei
Cheng, Lan
Tang, Yuxia
Cheng, Guotao
Yuan, Lianwei
He, Weiming
Xu, Jiabao
Fu, Tao
Xiao, Yang
Lei, Ting
Xu, Anying
Yin, Ye
Wang, Jian
Monteiro, Antónia
Westhof, Eric
Lu, Cheng
Tian, Zhixi
Wang, Wen
Xiang, Zhonghuai
Dai, Fangyin
author_facet 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
Yuan, Yajie
Guo, Nangkuo
Li, Yan-Hong
Wu, Zhangyan
Liu, Lulu
Li, Chunlin
Lu, Yaru
Gai, Tingting
Zhang, Yahui
Yang, Renkui
Qian, Heying
Liu, Yanqun
Luo, Jiangwen
Zheng, Lu
Lou, Jinghou
Peng, Yunwu
Zuo, Weidong
Song, Jiangbo
He, Songzhen
Wu, Songyuan
Zou, Yunlong
Zhou, Lei
Cheng, Lan
Tang, Yuxia
Cheng, Guotao
Yuan, Lianwei
He, Weiming
Xu, Jiabao
Fu, Tao
Xiao, Yang
Lei, Ting
Xu, Anying
Yin, Ye
Wang, Jian
Monteiro, Antónia
Westhof, Eric
Lu, Cheng
Tian, Zhixi
Wang, Wen
Xiang, Zhonghuai
Dai, Fangyin
author_sort Tong, Xiaoling
collection PubMed
description 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.
format Online
Article
Text
id pubmed-9509368
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-95093682022-09-26 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 Yuan, Yajie Guo, Nangkuo Li, Yan-Hong Wu, Zhangyan Liu, Lulu Li, Chunlin Lu, Yaru Gai, Tingting Zhang, Yahui Yang, Renkui Qian, Heying Liu, Yanqun Luo, Jiangwen Zheng, Lu Lou, Jinghou Peng, Yunwu Zuo, Weidong Song, Jiangbo He, Songzhen Wu, Songyuan Zou, Yunlong Zhou, Lei Cheng, Lan Tang, Yuxia Cheng, Guotao Yuan, Lianwei He, Weiming Xu, Jiabao Fu, Tao Xiao, Yang Lei, Ting Xu, Anying Yin, Ye Wang, Jian Monteiro, Antónia Westhof, Eric Lu, Cheng Tian, Zhixi Wang, Wen Xiang, Zhonghuai Dai, Fangyin Nat Commun Article 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. Nature Publishing Group UK 2022-09-24 /pmc/articles/PMC9509368/ /pubmed/36153338 http://dx.doi.org/10.1038/s41467-022-33366-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
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
Yuan, Yajie
Guo, Nangkuo
Li, Yan-Hong
Wu, Zhangyan
Liu, Lulu
Li, Chunlin
Lu, Yaru
Gai, Tingting
Zhang, Yahui
Yang, Renkui
Qian, Heying
Liu, Yanqun
Luo, Jiangwen
Zheng, Lu
Lou, Jinghou
Peng, Yunwu
Zuo, Weidong
Song, Jiangbo
He, Songzhen
Wu, Songyuan
Zou, Yunlong
Zhou, Lei
Cheng, Lan
Tang, Yuxia
Cheng, Guotao
Yuan, Lianwei
He, Weiming
Xu, Jiabao
Fu, Tao
Xiao, Yang
Lei, Ting
Xu, Anying
Yin, Ye
Wang, Jian
Monteiro, Antónia
Westhof, Eric
Lu, Cheng
Tian, Zhixi
Wang, Wen
Xiang, Zhonghuai
Dai, Fangyin
High-resolution silkworm pan-genome provides genetic insights into artificial selection and ecological adaptation
title High-resolution silkworm pan-genome provides genetic insights into artificial selection and ecological adaptation
title_full High-resolution silkworm pan-genome provides genetic insights into artificial selection and ecological adaptation
title_fullStr High-resolution silkworm pan-genome provides genetic insights into artificial selection and ecological adaptation
title_full_unstemmed High-resolution silkworm pan-genome provides genetic insights into artificial selection and ecological adaptation
title_short High-resolution silkworm pan-genome provides genetic insights into artificial selection and ecological adaptation
title_sort high-resolution silkworm pan-genome provides genetic insights into artificial selection and ecological adaptation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9509368/
https://www.ncbi.nlm.nih.gov/pubmed/36153338
http://dx.doi.org/10.1038/s41467-022-33366-x
work_keys_str_mv AT tongxiaoling highresolutionsilkwormpangenomeprovidesgeneticinsightsintoartificialselectionandecologicaladaptation
AT hanminjin highresolutionsilkwormpangenomeprovidesgeneticinsightsintoartificialselectionandecologicaladaptation
AT lukunpeng highresolutionsilkwormpangenomeprovidesgeneticinsightsintoartificialselectionandecologicaladaptation
AT taishuaishuai highresolutionsilkwormpangenomeprovidesgeneticinsightsintoartificialselectionandecologicaladaptation
AT liangshubo highresolutionsilkwormpangenomeprovidesgeneticinsightsintoartificialselectionandecologicaladaptation
AT liuyucheng highresolutionsilkwormpangenomeprovidesgeneticinsightsintoartificialselectionandecologicaladaptation
AT huhai highresolutionsilkwormpangenomeprovidesgeneticinsightsintoartificialselectionandecologicaladaptation
AT shenjianghong highresolutionsilkwormpangenomeprovidesgeneticinsightsintoartificialselectionandecologicaladaptation
AT longanxing highresolutionsilkwormpangenomeprovidesgeneticinsightsintoartificialselectionandecologicaladaptation
AT zhanchengyu highresolutionsilkwormpangenomeprovidesgeneticinsightsintoartificialselectionandecologicaladaptation
AT dingxin highresolutionsilkwormpangenomeprovidesgeneticinsightsintoartificialselectionandecologicaladaptation
AT liushuo highresolutionsilkwormpangenomeprovidesgeneticinsightsintoartificialselectionandecologicaladaptation
AT gaoqiang highresolutionsilkwormpangenomeprovidesgeneticinsightsintoartificialselectionandecologicaladaptation
AT zhangbili highresolutionsilkwormpangenomeprovidesgeneticinsightsintoartificialselectionandecologicaladaptation
AT zhoulinli highresolutionsilkwormpangenomeprovidesgeneticinsightsintoartificialselectionandecologicaladaptation
AT tanduan highresolutionsilkwormpangenomeprovidesgeneticinsightsintoartificialselectionandecologicaladaptation
AT yuanyajie highresolutionsilkwormpangenomeprovidesgeneticinsightsintoartificialselectionandecologicaladaptation
AT guonangkuo highresolutionsilkwormpangenomeprovidesgeneticinsightsintoartificialselectionandecologicaladaptation
AT liyanhong highresolutionsilkwormpangenomeprovidesgeneticinsightsintoartificialselectionandecologicaladaptation
AT wuzhangyan highresolutionsilkwormpangenomeprovidesgeneticinsightsintoartificialselectionandecologicaladaptation
AT liululu highresolutionsilkwormpangenomeprovidesgeneticinsightsintoartificialselectionandecologicaladaptation
AT lichunlin highresolutionsilkwormpangenomeprovidesgeneticinsightsintoartificialselectionandecologicaladaptation
AT luyaru highresolutionsilkwormpangenomeprovidesgeneticinsightsintoartificialselectionandecologicaladaptation
AT gaitingting highresolutionsilkwormpangenomeprovidesgeneticinsightsintoartificialselectionandecologicaladaptation
AT zhangyahui highresolutionsilkwormpangenomeprovidesgeneticinsightsintoartificialselectionandecologicaladaptation
AT yangrenkui highresolutionsilkwormpangenomeprovidesgeneticinsightsintoartificialselectionandecologicaladaptation
AT qianheying highresolutionsilkwormpangenomeprovidesgeneticinsightsintoartificialselectionandecologicaladaptation
AT liuyanqun highresolutionsilkwormpangenomeprovidesgeneticinsightsintoartificialselectionandecologicaladaptation
AT luojiangwen highresolutionsilkwormpangenomeprovidesgeneticinsightsintoartificialselectionandecologicaladaptation
AT zhenglu highresolutionsilkwormpangenomeprovidesgeneticinsightsintoartificialselectionandecologicaladaptation
AT loujinghou highresolutionsilkwormpangenomeprovidesgeneticinsightsintoartificialselectionandecologicaladaptation
AT pengyunwu highresolutionsilkwormpangenomeprovidesgeneticinsightsintoartificialselectionandecologicaladaptation
AT zuoweidong highresolutionsilkwormpangenomeprovidesgeneticinsightsintoartificialselectionandecologicaladaptation
AT songjiangbo highresolutionsilkwormpangenomeprovidesgeneticinsightsintoartificialselectionandecologicaladaptation
AT hesongzhen highresolutionsilkwormpangenomeprovidesgeneticinsightsintoartificialselectionandecologicaladaptation
AT wusongyuan highresolutionsilkwormpangenomeprovidesgeneticinsightsintoartificialselectionandecologicaladaptation
AT zouyunlong highresolutionsilkwormpangenomeprovidesgeneticinsightsintoartificialselectionandecologicaladaptation
AT zhoulei highresolutionsilkwormpangenomeprovidesgeneticinsightsintoartificialselectionandecologicaladaptation
AT chenglan highresolutionsilkwormpangenomeprovidesgeneticinsightsintoartificialselectionandecologicaladaptation
AT tangyuxia highresolutionsilkwormpangenomeprovidesgeneticinsightsintoartificialselectionandecologicaladaptation
AT chengguotao highresolutionsilkwormpangenomeprovidesgeneticinsightsintoartificialselectionandecologicaladaptation
AT yuanlianwei highresolutionsilkwormpangenomeprovidesgeneticinsightsintoartificialselectionandecologicaladaptation
AT heweiming highresolutionsilkwormpangenomeprovidesgeneticinsightsintoartificialselectionandecologicaladaptation
AT xujiabao highresolutionsilkwormpangenomeprovidesgeneticinsightsintoartificialselectionandecologicaladaptation
AT futao highresolutionsilkwormpangenomeprovidesgeneticinsightsintoartificialselectionandecologicaladaptation
AT xiaoyang highresolutionsilkwormpangenomeprovidesgeneticinsightsintoartificialselectionandecologicaladaptation
AT leiting highresolutionsilkwormpangenomeprovidesgeneticinsightsintoartificialselectionandecologicaladaptation
AT xuanying highresolutionsilkwormpangenomeprovidesgeneticinsightsintoartificialselectionandecologicaladaptation
AT yinye highresolutionsilkwormpangenomeprovidesgeneticinsightsintoartificialselectionandecologicaladaptation
AT wangjian highresolutionsilkwormpangenomeprovidesgeneticinsightsintoartificialselectionandecologicaladaptation
AT monteiroantonia highresolutionsilkwormpangenomeprovidesgeneticinsightsintoartificialselectionandecologicaladaptation
AT westhoferic highresolutionsilkwormpangenomeprovidesgeneticinsightsintoartificialselectionandecologicaladaptation
AT lucheng highresolutionsilkwormpangenomeprovidesgeneticinsightsintoartificialselectionandecologicaladaptation
AT tianzhixi highresolutionsilkwormpangenomeprovidesgeneticinsightsintoartificialselectionandecologicaladaptation
AT wangwen highresolutionsilkwormpangenomeprovidesgeneticinsightsintoartificialselectionandecologicaladaptation
AT xiangzhonghuai highresolutionsilkwormpangenomeprovidesgeneticinsightsintoartificialselectionandecologicaladaptation
AT daifangyin highresolutionsilkwormpangenomeprovidesgeneticinsightsintoartificialselectionandecologicaladaptation