Cargando…
Combinatorial Click Chemistry Labeling to Study Live Human Gut-Derived Microbiota Communities
Gut bacteria were shown to exert pivotal effects on health and disease. However, mechanistic studies of gut bacterial communities are limited due to the lack of technologies for real-time studies on live bacteria. Here, we developed COMBInatorial cliCK-chemistry (COMBICK) labeling on human gut-deriv...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8579052/ https://www.ncbi.nlm.nih.gov/pubmed/34777302 http://dx.doi.org/10.3389/fmicb.2021.750624 |
_version_ | 1784596362754523136 |
---|---|
author | Hajjo, Haitham Bhardwaj, Neerupma Gefen, Tal Geva-Zatorsky, Naama |
author_facet | Hajjo, Haitham Bhardwaj, Neerupma Gefen, Tal Geva-Zatorsky, Naama |
author_sort | Hajjo, Haitham |
collection | PubMed |
description | Gut bacteria were shown to exert pivotal effects on health and disease. However, mechanistic studies of gut bacterial communities are limited due to the lack of technologies for real-time studies on live bacteria. Here, we developed COMBInatorial cliCK-chemistry (COMBICK) labeling on human gut-derived bacteria, both aerobic and anaerobic strains, to enable dynamic tracing of live, heterogeneous bacterial communities on the strain level, including clinical isolates of the Enterobacteriaceae family. We further show that COMBICK labeling is applicable on anaerobic bacterial strains directly isolated from stool. In COMBICK, the number of labeled bacteria that can be simultaneously differentiated increases exponentially depending on the availability of fluorophores and machine capabilities. This method allows real-time studies of bacterial communities from a variety of ecosystems, and can significantly advance mechanistic research in the microbiome field. |
format | Online Article Text |
id | pubmed-8579052 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-85790522021-11-11 Combinatorial Click Chemistry Labeling to Study Live Human Gut-Derived Microbiota Communities Hajjo, Haitham Bhardwaj, Neerupma Gefen, Tal Geva-Zatorsky, Naama Front Microbiol Microbiology Gut bacteria were shown to exert pivotal effects on health and disease. However, mechanistic studies of gut bacterial communities are limited due to the lack of technologies for real-time studies on live bacteria. Here, we developed COMBInatorial cliCK-chemistry (COMBICK) labeling on human gut-derived bacteria, both aerobic and anaerobic strains, to enable dynamic tracing of live, heterogeneous bacterial communities on the strain level, including clinical isolates of the Enterobacteriaceae family. We further show that COMBICK labeling is applicable on anaerobic bacterial strains directly isolated from stool. In COMBICK, the number of labeled bacteria that can be simultaneously differentiated increases exponentially depending on the availability of fluorophores and machine capabilities. This method allows real-time studies of bacterial communities from a variety of ecosystems, and can significantly advance mechanistic research in the microbiome field. Frontiers Media S.A. 2021-10-27 /pmc/articles/PMC8579052/ /pubmed/34777302 http://dx.doi.org/10.3389/fmicb.2021.750624 Text en Copyright © 2021 Hajjo, Bhardwaj, Gefen and Geva-Zatorsky. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Microbiology Hajjo, Haitham Bhardwaj, Neerupma Gefen, Tal Geva-Zatorsky, Naama Combinatorial Click Chemistry Labeling to Study Live Human Gut-Derived Microbiota Communities |
title | Combinatorial Click Chemistry Labeling to Study Live Human Gut-Derived Microbiota Communities |
title_full | Combinatorial Click Chemistry Labeling to Study Live Human Gut-Derived Microbiota Communities |
title_fullStr | Combinatorial Click Chemistry Labeling to Study Live Human Gut-Derived Microbiota Communities |
title_full_unstemmed | Combinatorial Click Chemistry Labeling to Study Live Human Gut-Derived Microbiota Communities |
title_short | Combinatorial Click Chemistry Labeling to Study Live Human Gut-Derived Microbiota Communities |
title_sort | combinatorial click chemistry labeling to study live human gut-derived microbiota communities |
topic | Microbiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8579052/ https://www.ncbi.nlm.nih.gov/pubmed/34777302 http://dx.doi.org/10.3389/fmicb.2021.750624 |
work_keys_str_mv | AT hajjohaitham combinatorialclickchemistrylabelingtostudylivehumangutderivedmicrobiotacommunities AT bhardwajneerupma combinatorialclickchemistrylabelingtostudylivehumangutderivedmicrobiotacommunities AT gefental combinatorialclickchemistrylabelingtostudylivehumangutderivedmicrobiotacommunities AT gevazatorskynaama combinatorialclickchemistrylabelingtostudylivehumangutderivedmicrobiotacommunities |