SilkMeta: a comprehensive platform for sharing and exploiting pan-genomic and multi-omic silkworm data

Author:

Lu Kunpeng12,Pan Yifei1,Shen Jianghong1,Yang Lin1,Zhan Chengyu1,Liang Shubo1,Tai Shuaishuai3,Wan Linrong1,Li Tian1,Cheng Tingcai1,Ma Bi1ORCID,Pan Guoqing1ORCID,He Ningjia1ORCID,Lu Cheng1,Westhof Eric14,Xiang Zhonghuai1,Han Min-Jin12ORCID,Tong Xiaoling12,Dai Fangyin12ORCID

Affiliation:

1. State Key Laboratory of Resource Insects, Institute of Sericulture and Systems Biology, Southwest University , Chongqing  400715 , China

2. Key Laboratory of Sericultural Biology and Genetic Breeding, Ministry of Agriculture and Rural Affairs, College of Sericulture, Textile and Biomass Sciences, Southwest University , Chongqing  400715 , China

3. BGI Research , Sanya  572025 , China

4. Architecture et Réactivité de l’ARN, Institut de Biologie Moléculaire et Cellulaire, UPR9002 CNRS, Université de Strasbourg , Strasbourg  67084 , France

Abstract

Abstract The silkworm Bombyx mori is a domesticated insect that serves as an animal model for research and agriculture. The silkworm super-pan-genome dataset, which we published last year, is a unique resource for the study of global genomic diversity and phenotype-genotype association. Here we present SilkMeta (http://silkmeta.org.cn), a comprehensive database covering the available silkworm pan-genome and multi-omics data. The database contains 1082 short-read genomes, 546 long-read assembled genomes, 1168 transcriptomes, 294 phenotype characterizations (phenome), tens of millions of variations (variome), 7253 long non-coding RNAs (lncRNAs), 18 717 full length transcripts and a set of population statistics. We have compiled publications on functional genomics research and genetic stock deciphering (mutant map). A range of bioinformatics tools is also provided for data visualization and retrieval. The large batch of omics data and tools were integrated in twelve functional modules that provide useful strategies and data for comparative and functional genomics research. The interactive bioinformatics platform SilkMeta will benefit not only the silkworm but also the insect biology communities.

Funder

National Natural Science Foundation of China

China Agriculture Research System of MOF and MARA

Natural Science Foundation of Chongqing

Special Funding for Postdoctoral Research of Chongqing, China

Publisher

Oxford University Press (OUP)

Subject

Genetics

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