High-throughput prediction and characterization of antimicrobial peptides from multi-omics datasets of Chinese tubular cone snail (Conus betulinus)

doi:10.3389/fmars.2022.1092731

CORC > 海洋研究所 > 中国科学院海洋研究所 > 实验海洋生物学重点实验室

	High-throughput prediction and characterization of antimicrobial peptides from multi-omics datasets of Chinese tubular cone snail (Conus betulinus)
	Li, Ruihan 1,2; Huang, Yu 2; Peng, Chao 2; Gao, Zijian 7; Liu, Jie 8; Yin, Xiaoting 3,4,9; Gao, Bingmiao 5; Ovchinnikova, Tatiana V.6; Qiu, Limei 3,9; Bian, Chao 1,2
刊名	FRONTIERS IN MARINE SCIENCE
	2022-12-23
卷号	9 页码:13
关键词	Conus betulinus antimicrobial peptide multi-omics in silico prediction in vitro assessment
DOI	10.3389/fmars.2022.1092731
通讯作者	Qiu, Limei(shiqiong@genomics.cn) ; Bian, Chao(bianchao@genomics.cn) ; Shi, Qiong(qiulimei@qdio.ac.cn)
英文摘要	Individual cone snail (Conus sp.) contains thousands of bioactive peptides, but there are limited studies on its antimicrobial peptides (AMPs). Here, we investigated AMPs along with AMP-derived genes in the representative Chinese tubular cone snail (C. betulinus) by integration of our previously published multi-omics (genomics, transcriptomics, and peptidomics) data. We identified a total of 466 putative AMP-derived genes from the genome, and most of them were annotated as histones. While at the mRNA level, only 77 AMP-derived genes were confirmed with transcriptomic evidence, among them Ubiquicidin, cgUbiquitin, Ap, and VK10 were the most abundant transcripts in the venom gland. In addition, 30 AMPs were further validated by peptidomics data. After in silico analysis including 3D modeling, 11 putative AMPs were chemically synthesized for an in vitro assessment, and eight peptides were proved with good antifungal activity. In summary, this work systematically characterized the AMP repertoire in C. betulinus. This valuable genetic resource provides a solid foundation for in-depth therapeutic applications and drug development.
WOS关键词	PACIFIC OYSTER ; PURIFICATION ; CONOTOXINS ; HISTONES ; GENOMES
WOS研究方向	Environmental Sciences & Ecology ; Marine & Freshwater Biology
语种	英语
出版者	FRONTIERS MEDIA SA
WOS记录号	WOS:000908042500001
内容类型	期刊论文
源URL	[http://ir.qdio.ac.cn/handle/337002/183272]
专题	海洋研究所_实验海洋生物学重点实验室
通讯作者	Qiu, Limei; Bian, Chao; Shi, Qiong
作者单位	1.Univ Chinese Acad Sci, Coll Life Sci, Beijing, Peoples R China 2.BGI Acad Marine Sci, Shenzhen Key Lab Marine Genom, Guangdong Prov Key Lab Mol Breeding Marine Econ An, BGI Marine, Shenzhen, Peoples R China 3.Pilot Natl Lab Marine Sci & Technol Qingdao, Lab Marine Biol & Biotechnol, Qingdao, Peoples R China 4.Univ Chinese Acad Sci, Coll Earth & Planetary Sci, Beijing, Peoples R China 5.Hainan Med Univ, Sch Pharm, Key Lab Trop Translat Med,Minist Educ, Hainan Prov Key Lab Res & Dev Herbs, Haikou, Peoples R China 6.Russian Acad Sci, MM Shemyakin & Yu A Ovchinnikov Inst Bioorgan Chem, Moscow, Russia 7.Nanjing Agr Univ, Wuxi Fisheries Coll, Wuxi, Peoples R China 8.BGI Shenzhen, BGI Genom, Shenzhen, Peoples R China 9.Chinese Acad Sci, Inst Oceanol, CAS Ctr Ocean Mega Sci, CAS & Shandong Prov Key Lab Expt Marine Biol, Qingdao, Peoples R China
推荐引用方式 GB/T 7714	Li, Ruihan,Huang, Yu,Peng, Chao,et al. High-throughput prediction and characterization of antimicrobial peptides from multi-omics datasets of Chinese tubular cone snail (Conus betulinus)[J]. FRONTIERS IN MARINE SCIENCE,2022,9:13.
APA	Li, Ruihan.,Huang, Yu.,Peng, Chao.,Gao, Zijian.,Liu, Jie.,...&Shi, Qiong.(2022).High-throughput prediction and characterization of antimicrobial peptides from multi-omics datasets of Chinese tubular cone snail (Conus betulinus).FRONTIERS IN MARINE SCIENCE,9,13.
MLA	Li, Ruihan,et al."High-throughput prediction and characterization of antimicrobial peptides from multi-omics datasets of Chinese tubular cone snail (Conus betulinus)".FRONTIERS IN MARINE SCIENCE 9(2022):13.