MEGARes and AMR++, v3.0: an updated comprehensive database of antimicrobial resistance determinants and an improved software pipeline for classification using high-throughput sequencing.

MEGARes and AMR++, v3.0: an updated comprehensive database of antimicrobial resistance determinants and an improved software pipeline for classification using high-throughput sequencing.
复制标题

DOI:
10.1093/nar/gkac1047
复制
发表时间:
2023-01-06
影响因子:
14.9
通讯作者:
Boucher, Christina
Boucher, Christina
中科院分区:
生物学2区
文献类型:
--
作者:
Bonin, Nathalie;Doster, Enrique;Worley, Hannah;Pinnell, Lee J.;Bravo, Jonathan E.;Ferm, Peter;Marini, Simone;Prosperi, Mattia;Noyes, Noelle;Morley, Paul S.;Boucher, Christina

文献摘要

参考文献

被引文献

相似文献

抗菌素耐药性(AMR)被认为是对公共卫生的严重威胁,以高通量序列数据分析为特征的基因组/宏基因组研究日益普遍和重要。我们之前介绍了MEGARes,这是一个综合的AMR数据库,具有无环分层注释结构,有利于高通量计算分析,以及amr++,一个定制的生物信息学管道,专门设计用于使用MEGARes进行高通量分析,以表征宏基因组序列数据中的AMR基因(ARGs)。在此,我们推出了MEGARes v3.0,一个针对抗菌药物、杀菌剂和金属的ARG序列的综合数据库,以及amr++ v3.0,这是我们定制的生物信息学管道的更新,用于高通量分析宏基因组数据(可在MEGLab.org上获得)。数据库注释已经扩展到包括关于单核苷酸多态性(snp)和特定ARGs要求的插入和/或缺失(indels)的特定基因组位置的信息,并且更新的amr++管道使用这些信息来检查元基因组测序reads中是否存在赋予抗性的遗传变异。这一新信息包括337种ARGs,这些ARGs的耐药变异以前无法以这种方式得到确认。在MEGARes 3.0中,无环层次本体的节点包括4种抗菌化合物类型、59个耐药类别、233种机制和1448个基因群,对8733个条目进行了分类。
Antimicrobial resistance (AMR) is considered a critical threat to public health, and genomic/metagenomic investigations featuring high-throughput analysis of sequence data are increasingly common and important. We previously introduced MEGARes, a comprehensive AMR database with an acyclic hierarchical annotation structure that facilitates high-throughput computational analysis, as well as AMR++, a customized bioinformatic pipeline specifically designed to use MEGARes in high-throughput analysis for characterizing AMR genes (ARGs) in metagenomic sequence data. Here, we present MEGARes v3.0, a comprehensive database of published ARG sequences for antimicrobial drugs, biocides, and metals, and AMR++ v3.0, an update to our customized bioinformatic pipeline for high-throughput analysis of metagenomic data (available at MEGLab.org). Database annotations have been expanded to include information regarding specific genomic locations for single-nucleotide polymorphisms (SNPs) and insertions and/or deletions (indels) when required by specific ARGs for resistance expression, and the updated AMR++ pipeline uses this information to check for presence of resistance-conferring genetic variants in metagenomic sequenced reads. This new information encompasses 337 ARGs, whose resistance-conferring variants could not previously be confirmed in such a manner. In MEGARes 3.0, the nodes of the acyclic hierarchical ontology include 4 antimicrobial compound types, 59 resistance classes, 233 mechanisms and 1448 gene groups that classify the 8733 accessions.
DOI: 10.1021/acs.est.1c08918
发表时间: 2022-07-05
影响因子: 11.4
作者:
Liguori, Krista;Keenum, Ishi;Davis, Benjamin C.;Calarco, Jeanette;Milligan, Erin;Harwood, Valerie J.;Pruden, Amy
通讯作者: Pruden, Amy
Biopython:用于计算分子生物学和生物信息学的免费 Python 工具。
DOI: 10.1093/bioinformatics/btp163
发表时间: 2009-06-01
期刊: Bioinformatics (Oxford, England)
影响因子: --
作者:
Cock PJ;Antao T;Chang JT;Chapman BA;Cox CJ;Dalke A;Friedberg I;Hamelryck T;Kauff F;Wilczynski B;de Hoon MJ
通讯作者: de Hoon MJ
DOI: 10.1093/bioinformatics/bts565
发表时间: 2012-12-01
期刊: Bioinformatics (Oxford, England)
影响因子: --
作者:
Fu L;Niu B;Zhu Z;Wu S;Li W
通讯作者: Li W
DOI: 10.1016/j.ijfoodmicro.2022.109821
发表时间: 2022-07-08
影响因子: 5.4
作者:
Hull, Dawn M.;Harrell, Erin;Thakur, Siddhartha
通讯作者: Thakur, Siddhartha