Fingerprinting microbiomes towards screening for microbial antibiotic resistance.

IF 1.4
Naifu Jin, Dayi Zhang, Francis L Martin
{"title":"Fingerprinting microbiomes towards screening for microbial antibiotic resistance.","authors":"Naifu Jin,&nbsp;Dayi Zhang,&nbsp;Francis L Martin","doi":"10.1039/c7ib00009j","DOIUrl":null,"url":null,"abstract":"<p><p>There is an increasing need to investigate microbiomes in their entirety in a variety of contexts ranging from environmental to human health scenarios. This requirement is becoming increasingly important with the emergence of antibiotic resistance. In general, more conventional approaches are too expensive and/or time-consuming and often predicated on prior knowledge of the microorganisms one wishes to study. Herein, we propose the use of biospectroscopy tools as relatively high-throughput, non-destructive approaches to profile microbiomes under study. Fourier-transform infrared (FTIR) or Raman spectroscopy both generate fingerprint spectra of biological material and such spectra can readily be subsequently classed according to biochemical changes in the microbiota, such as emergence of antibiotic resistance. FTIR spectroscopy techniques generally can only be applied to desiccated material whereas Raman approaches can be applied to more hydrated samples. The ability to readily fingerprint microbiomes could lend itself to new approaches in determining microbial behaviours and emergence of antibiotic resistance.</p>","PeriodicalId":520649,"journal":{"name":"Integrative biology : quantitative biosciences from nano to macro","volume":" ","pages":"406-417"},"PeriodicalIF":1.4000,"publicationDate":"2017-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1039/c7ib00009j","citationCount":"28","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Integrative biology : quantitative biosciences from nano to macro","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1039/c7ib00009j","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 28

Abstract

There is an increasing need to investigate microbiomes in their entirety in a variety of contexts ranging from environmental to human health scenarios. This requirement is becoming increasingly important with the emergence of antibiotic resistance. In general, more conventional approaches are too expensive and/or time-consuming and often predicated on prior knowledge of the microorganisms one wishes to study. Herein, we propose the use of biospectroscopy tools as relatively high-throughput, non-destructive approaches to profile microbiomes under study. Fourier-transform infrared (FTIR) or Raman spectroscopy both generate fingerprint spectra of biological material and such spectra can readily be subsequently classed according to biochemical changes in the microbiota, such as emergence of antibiotic resistance. FTIR spectroscopy techniques generally can only be applied to desiccated material whereas Raman approaches can be applied to more hydrated samples. The ability to readily fingerprint microbiomes could lend itself to new approaches in determining microbial behaviours and emergence of antibiotic resistance.

指纹识别微生物组筛选微生物抗生素耐药性。
越来越需要在从环境到人类健康的各种情况下全面调查微生物组。随着抗生素耐药性的出现,这一要求变得越来越重要。一般来说,更传统的方法过于昂贵和/或耗时,并且往往基于对希望研究的微生物的先验知识。在此,我们建议使用生物光谱学工具作为相对高通量,非破坏性的方法来研究微生物组。傅里叶变换红外(FTIR)或拉曼光谱都可以生成生物材料的指纹光谱,并且这些光谱可以很容易地根据微生物群的生化变化进行分类,例如抗生素耐药性的出现。FTIR光谱技术通常只能应用于干燥的材料,而拉曼方法可以应用于更水化的样品。容易指纹微生物组的能力可以为确定微生物行为和抗生素耐药性的出现提供新的方法。
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 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信