直接16S rDNA测序作为基于宏基因组学的瓶装水中细菌筛选方法的评价

Trine Hansen, Beate Skånseng, Jeffrey Hoorfar, Charlotta Löfström
{"title":"直接16S rDNA测序作为基于宏基因组学的瓶装水中细菌筛选方法的评价","authors":"Trine Hansen,&nbsp;Beate Skånseng,&nbsp;Jeffrey Hoorfar,&nbsp;Charlotta Löfström","doi":"10.1089/bsp.2012.0073","DOIUrl":null,"url":null,"abstract":"<p><p>Deliberate or accidental contamination of food, feed, and water supplies poses a threat to human health worldwide. A rapid and sensitive detection technique that could replace the current labor-intensive and time-consuming culture-based methods is highly desirable. In addition to species-specific assays, such as PCR, there is a need for generic methods to screen for unknown pathogenic microorganisms in samples. This work presents a metagenomics-based direct-sequencing approach for detecting unknown microorganisms, using Bacillus cereus (as a model organism for B. anthracis) in bottled water as an example. Total DNA extraction and 16S rDNA gene sequencing were used in combination with principle component analysis and multicurve resolution to study detection level and possibility for identification. Results showed a detection level of 10(5) to 10(6) CFU/L. Using this method, it was possible to separate 2 B. cereus strains by the principal component plot, despite the close sequence resemblance. A linear correlation between the artificial contamination level and the relative amount of the Bacillus artificial contaminant in the metagenome was observed, and a relative amount value above 0.5 confirmed the presence of Bacillus. The analysis also revealed that background flora in the bottled water varied between the different water types that were included in the study. This method has the potential to be adapted to other biological matrices and bacterial pathogens for fast screening of unknown bacterial threats in outbreak situations. </p>","PeriodicalId":87059,"journal":{"name":"Biosecurity and bioterrorism : biodefense strategy, practice, and science","volume":"11 Suppl 1 ","pages":"S158-65"},"PeriodicalIF":0.0000,"publicationDate":"2013-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1089/bsp.2012.0073","citationCount":"12","resultStr":"{\"title\":\"Evaluation of direct 16S rDNA sequencing as a metagenomics-based approach to screening bacteria in bottled water.\",\"authors\":\"Trine Hansen,&nbsp;Beate Skånseng,&nbsp;Jeffrey Hoorfar,&nbsp;Charlotta Löfström\",\"doi\":\"10.1089/bsp.2012.0073\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Deliberate or accidental contamination of food, feed, and water supplies poses a threat to human health worldwide. A rapid and sensitive detection technique that could replace the current labor-intensive and time-consuming culture-based methods is highly desirable. In addition to species-specific assays, such as PCR, there is a need for generic methods to screen for unknown pathogenic microorganisms in samples. This work presents a metagenomics-based direct-sequencing approach for detecting unknown microorganisms, using Bacillus cereus (as a model organism for B. anthracis) in bottled water as an example. Total DNA extraction and 16S rDNA gene sequencing were used in combination with principle component analysis and multicurve resolution to study detection level and possibility for identification. Results showed a detection level of 10(5) to 10(6) CFU/L. Using this method, it was possible to separate 2 B. cereus strains by the principal component plot, despite the close sequence resemblance. A linear correlation between the artificial contamination level and the relative amount of the Bacillus artificial contaminant in the metagenome was observed, and a relative amount value above 0.5 confirmed the presence of Bacillus. The analysis also revealed that background flora in the bottled water varied between the different water types that were included in the study. This method has the potential to be adapted to other biological matrices and bacterial pathogens for fast screening of unknown bacterial threats in outbreak situations. </p>\",\"PeriodicalId\":87059,\"journal\":{\"name\":\"Biosecurity and bioterrorism : biodefense strategy, practice, and science\",\"volume\":\"11 Suppl 1 \",\"pages\":\"S158-65\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1089/bsp.2012.0073\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Biosecurity and bioterrorism : biodefense strategy, practice, and science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1089/bsp.2012.0073\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biosecurity and bioterrorism : biodefense strategy, practice, and science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1089/bsp.2012.0073","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12

摘要

蓄意或意外污染食品、饲料和水供应对全世界的人类健康构成威胁。迫切需要一种快速灵敏的检测技术,以取代目前劳动密集型和耗时的基于培养的方法。除了诸如聚合酶链反应(PCR)之类的物种特异性测定外,还需要通用方法来筛选样品中的未知致病微生物。这项工作提出了一种基于宏基因组学的检测未知微生物的直接测序方法,以瓶装水中的蜡样芽孢杆菌(作为炭疽芽孢杆菌的模式生物)为例。采用总DNA提取和16S rDNA基因测序,结合主成分分析和多曲线分辨率研究检测水平和鉴定可能性。结果显示,检测水平为10(5)~ 10(6)CFU/L。使用该方法,可以通过主成分图分离出2株蜡样芽孢杆菌,尽管序列相似。人工污染水平与芽孢杆菌人工污染物在宏基因组中的相对量呈线性相关,相对量大于0.5则证实了芽孢杆菌的存在。分析还显示,瓶装水中的背景菌群在研究中包括的不同类型的水之间有所不同。这种方法有可能适用于其他生物基质和细菌病原体,以便在疫情情况下快速筛选未知的细菌威胁。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation of direct 16S rDNA sequencing as a metagenomics-based approach to screening bacteria in bottled water.

Deliberate or accidental contamination of food, feed, and water supplies poses a threat to human health worldwide. A rapid and sensitive detection technique that could replace the current labor-intensive and time-consuming culture-based methods is highly desirable. In addition to species-specific assays, such as PCR, there is a need for generic methods to screen for unknown pathogenic microorganisms in samples. This work presents a metagenomics-based direct-sequencing approach for detecting unknown microorganisms, using Bacillus cereus (as a model organism for B. anthracis) in bottled water as an example. Total DNA extraction and 16S rDNA gene sequencing were used in combination with principle component analysis and multicurve resolution to study detection level and possibility for identification. Results showed a detection level of 10(5) to 10(6) CFU/L. Using this method, it was possible to separate 2 B. cereus strains by the principal component plot, despite the close sequence resemblance. A linear correlation between the artificial contamination level and the relative amount of the Bacillus artificial contaminant in the metagenome was observed, and a relative amount value above 0.5 confirmed the presence of Bacillus. The analysis also revealed that background flora in the bottled water varied between the different water types that were included in the study. This method has the potential to be adapted to other biological matrices and bacterial pathogens for fast screening of unknown bacterial threats in outbreak situations.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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:481959085
Book学术官方微信