The wealth of shared resources: Improving molecular taxonomy using eDNA and public databases

IF 2.3 2区 生物学 Q2 EVOLUTIONARY BIOLOGY Zoologica Scripta Pub Date : 2023-02-21 DOI:10.1111/zsc.12591
James F. Fleming
{"title":"The wealth of shared resources: Improving molecular taxonomy using eDNA and public databases","authors":"James F. Fleming","doi":"10.1111/zsc.12591","DOIUrl":null,"url":null,"abstract":"Public databases such as the NCBI's GenBank have been used as repositories for genomic studies for more than 30 years. In this time, our understanding of the natural world, and especially the genomic world, has expanded vastly, and the size of these databases represent this genomic revolution. Databases like GenBank now help populate many molecular studies, supplementing a researcher's newly gathered data with publicly available sequences. Despite this, older sequence records, particularly those from understudied taxa, are frequently not updated in line with this burgeoning understanding, and this means that analyses that leverage this public data – from BLAST through to phylogenetic analyses – cannot do so with the full force of its collective understanding. This is particularly true for environmental DNA (eDNA) records, where older sequence records may identify sequences only to the phylum level, limiting their use in many studies. Here, with a case study of tardigrade 18S sequences, the family identities of 630 sequences, previously only identified to the phylum level, were established using 501 family, genus and species level 18S sequences, effectively doubling the depth and taxonomic resolution of tardigrade 18S sequences in GenBank.","PeriodicalId":49334,"journal":{"name":"Zoologica Scripta","volume":null,"pages":null},"PeriodicalIF":2.3000,"publicationDate":"2023-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Zoologica Scripta","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1111/zsc.12591","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"EVOLUTIONARY BIOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Public databases such as the NCBI's GenBank have been used as repositories for genomic studies for more than 30 years. In this time, our understanding of the natural world, and especially the genomic world, has expanded vastly, and the size of these databases represent this genomic revolution. Databases like GenBank now help populate many molecular studies, supplementing a researcher's newly gathered data with publicly available sequences. Despite this, older sequence records, particularly those from understudied taxa, are frequently not updated in line with this burgeoning understanding, and this means that analyses that leverage this public data – from BLAST through to phylogenetic analyses – cannot do so with the full force of its collective understanding. This is particularly true for environmental DNA (eDNA) records, where older sequence records may identify sequences only to the phylum level, limiting their use in many studies. Here, with a case study of tardigrade 18S sequences, the family identities of 630 sequences, previously only identified to the phylum level, were established using 501 family, genus and species level 18S sequences, effectively doubling the depth and taxonomic resolution of tardigrade 18S sequences in GenBank.
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
丰富的共享资源:利用eDNA和公共数据库改进分子分类学
NCBI的GenBank等公共数据库已被用作基因组研究的存储库30多年 年。在这段时间里,我们对自然世界,尤其是基因组世界的理解已经大大扩展,这些数据库的规模代表了这场基因组革命。像GenBank这样的数据库现在有助于填充许多分子研究,用公开的序列补充研究人员新收集的数据。尽管如此,较旧的序列记录,特别是那些研究不足的分类群的序列记录经常没有按照这种新兴的理解进行更新,这意味着利用这些公共数据的分析——从BLAST到系统发育分析——无法充分利用其集体理解。环境DNA(eDNA)记录尤其如此,旧的序列记录可能只识别门水平的序列,限制了它们在许多研究中的使用。在这里,通过对缓步动物18S序列的案例研究,使用501个科、属和种水平的18S序列建立了630个序列的家族身份,这些序列以前只在门水平上被鉴定,有效地使GenBank中的缓步动物18 S序列的深度和分类分辨率翻了一番。
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
Zoologica Scripta
Zoologica Scripta 生物-动物学
CiteScore
5.60
自引率
0.00%
发文量
52
审稿时长
>12 weeks
期刊介绍: Zoologica Scripta publishes papers in animal systematics and phylogeny, i.e. studies of evolutionary relationships among taxa, and the origin and evolution of biological diversity. Papers can also deal with ecological interactions and geographic distributions (phylogeography) if the results are placed in a wider phylogenetic/systematic/evolutionary context. Zoologica Scripta encourages papers on the development of methods for all aspects of phylogenetic inference and biological nomenclature/classification. Articles published in Zoologica Scripta must be original and present either theoretical or empirical studies of interest to a broad audience in systematics and phylogeny. Purely taxonomic papers, like species descriptions without being placed in a wider systematic/phylogenetic context, will not be considered.
期刊最新文献
Delimiting species boundaries within the Babyloniidae (Mollusca: Gastropoda: Neogastropoda) using multi‐locus phylogenetic analysis A non‐monophyly of ‘crowned’ Daphnia (Ctenodaphnia) Dybowski et Grochowski, 1895 (Cladocera: Daphniidae): From genomes to morphology Description of a new genus and species of deep‐sea mysids (Malacostraca, Peracarida, Mysida) from the Caroline Ridge, Northwest Pacific, with a systematic analysis of the order A phylogeographic analysis of the North American medicinal leech, Macrobdella decora (Say, 1824) Conservation genetics of barbel species (Teleostei, Cyprinidae) facing hybridization and introgression along an elevational gradient in protected areas of northern Italy
×
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