An efficient pipeline for creating metagenomic-assembled genomes from ancient oral microbiomes

Francesca J Standeven, Gwyn Dahlquist-Axe, Camilla F Speller, Conor J Meehan, Andrew Tedder
{"title":"An efficient pipeline for creating metagenomic-assembled genomes from ancient oral microbiomes","authors":"Francesca J Standeven, Gwyn Dahlquist-Axe, Camilla F Speller, Conor J Meehan, Andrew Tedder","doi":"10.1101/2024.09.18.613623","DOIUrl":null,"url":null,"abstract":"Metagenomic-assembled genomes (MAGs) are difficult to recover from ancient DNA (aDNA) due to substantial fragmentation, degradation, and multi-source contamination. These complexities associated with aDNA raise concerns about whether bioinformatic tools intended for interpreting modern DNA are suitable for reconstructing ancient MAGs. Using simulated modern and ancient data, we investigated: 1) how using binning tools designed for modern DNA affects our ability to effectively construct MAGs from ancient genomes; 2) the performance of three different binning tools for aDNA samples; and 3) whether a 'one size fits all' approach is suitable for ancient metagenomics. We established that binning tools for modern DNA performed efficiently on simulated modern and ancient DNA. When applied to 'real' archaeological DNA spanning 5000 years, we retrieve high-confidence MAGs in most cases.","PeriodicalId":501357,"journal":{"name":"bioRxiv - Microbiology","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"bioRxiv - Microbiology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1101/2024.09.18.613623","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Metagenomic-assembled genomes (MAGs) are difficult to recover from ancient DNA (aDNA) due to substantial fragmentation, degradation, and multi-source contamination. These complexities associated with aDNA raise concerns about whether bioinformatic tools intended for interpreting modern DNA are suitable for reconstructing ancient MAGs. Using simulated modern and ancient data, we investigated: 1) how using binning tools designed for modern DNA affects our ability to effectively construct MAGs from ancient genomes; 2) the performance of three different binning tools for aDNA samples; and 3) whether a 'one size fits all' approach is suitable for ancient metagenomics. We established that binning tools for modern DNA performed efficiently on simulated modern and ancient DNA. When applied to 'real' archaeological DNA spanning 5000 years, we retrieve high-confidence MAGs in most cases.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
从古代口腔微生物组中创建元基因组组装基因组的高效管道
由于大量的片段化、降解和多源污染,元基因组组装基因组(MAGs)很难从古DNA(aDNA)中恢复。与 aDNA 相关的这些复杂性引起了人们的关注,即用于解释现代 DNA 的生物信息学工具是否适用于重建古代 MAGs。利用模拟的现代和古代数据,我们研究了1)使用为现代 DNA 设计的分选工具如何影响我们从古代基因组中有效构建 MAG 的能力;2)三种不同分选工具在 aDNA 样本中的表现;3)"一刀切 "的方法是否适用于古代元基因组学。我们发现,现代 DNA 的分选工具在模拟的现代和古代 DNA 上表现高效。当应用于跨越 5000 年的 "真实 "考古 DNA 时,我们在大多数情况下都能检索到高置信度的 MAG。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
A system for functional studies of the major virulence factor of malaria parasites Light-harvesting by antenna-containing rhodopsins in pelagic Asgard archaea The Human Cytomegalovirus vGPCR UL33 is Essential for Efficient Lytic Replication in Epithelial Cells A chronic murine model of pulmonary Acinetobacter baumannii infection enabling the investigation of late virulence factors, long-term antibiotic treatments, and polymicrobial infections DNA replication dynamics are associated with genome composition in Plasmodium species
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1