Open Access
Proceedings of the National Academy of Sciences of the United States of America, volume 115, issue 38, pages 9551-9556
Ultrahigh-throughput functional profiling of microbiota communities
Terekhov Stanislav S
1
,
Smirnov Ivan V.
1, 2
,
Malakhova Maja V.
3
,
Samoilov Andrei E
3
,
Manolov Alexander I
3
,
Nazarov Anton S
1
,
Danilov Dmitry V
1
,
Dubiley Svetlana A
4, 5
,
Osterman Ilya A.
4, 6
,
Rubtsova Maria P
4, 6
,
Kostryukova Elena S.
3
,
Ziganshin Rustam H.
1
,
Kornienko Maria A.
3
,
Vanyushkina Anna A
3
,
Bukato Olga N.
3
,
Ilina Elena N
3
,
Vlasov Valentin V.
7
,
Severinov Konstantin V
4, 8
,
Gabibov Alexander G.
1
,
Altman Sidney
9, 10
8
Waksman Institute for Microbiology, Rutgers, The State University of New Jersey, Piscataway, NJ 08901;
|
9
10
School of Life Sciences, Arizona State University, Tempe, AZ 85287
|
Publication type: Journal Article
Publication date: 2018-09-04
Quartile SCImago
Q1
Quartile WOS
Q1
Impact factor: 11.1
ISSN: 00278424, 10916490
PubMed ID:
30181282
Multidisciplinary
Abstract
Microbiome spectra serve as critical clues to elucidate the evolutionary biology pathways, potential pathologies, and even behavioral patterns of the host organisms. Furthermore, exotic sources of microbiota represent an unexplored niche to discover microbial secondary metabolites. However, establishing the bacterial functionality is complicated by an intricate web of interactions inside the microbiome. Here we apply an ultrahigh-throughput (uHT) microfluidic droplet platform for activity profiling of the entire oral microbial community of the Siberian bear to isolate Bacillus strains demonstrating antimicrobial activity against Staphylococcus aureus . Genome mining allowed us to identify antibiotic amicoumacin A (Ami) as responsible for inhibiting the growth of S. aureus . Proteomics and metabolomics revealed a unique mechanism of Bacillus self-resistance to Ami, based on a subtle equilibrium of its deactivation and activation by kinase AmiN and phosphatase AmiO, respectively. We developed uHT quantitative single-cell analysis to estimate antibiotic efficacy toward different microbiomes and used it to determine the activity spectra of Ami toward human and Siberian bear microbiota. Thus, uHT microfluidic droplet platform activity profiling is a powerful tool for discovering antibiotics and quantifying external influences on a microbiome.
Citations by journals
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1
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Citations by publishers
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2
4
6
8
10
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14
16
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Elsevier
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4 publications, 5.26%
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3 publications, 3.95%
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2 publications, 2.63%
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2 publications, 2.63%
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2
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16
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- We do not take into account publications that without a DOI.
- Statistics recalculated only for publications connected to researchers, organizations and labs registered on the platform.
- Statistics recalculated weekly.
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GOST
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Terekhov S. S. et al. Ultrahigh-throughput functional profiling of microbiota communities // Proceedings of the National Academy of Sciences of the United States of America. 2018. Vol. 115. No. 38. pp. 9551-9556.
GOST all authors (up to 50)
Copy
Terekhov S. S., Smirnov I. V., Malakhova M. V., Samoilov A. E., Manolov A. I., Nazarov A. S., Danilov D. V., Dubiley S. A., Osterman I. A., Rubtsova M. P., Kostryukova E. S., Ziganshin R. H., Kornienko M. A., Vanyushkina A. A., Bukato O. N., Ilina E. N., Vlasov V. V., Severinov K. V., Gabibov A. G., Altman S. Ultrahigh-throughput functional profiling of microbiota communities // Proceedings of the National Academy of Sciences of the United States of America. 2018. Vol. 115. No. 38. pp. 9551-9556.
Cite this
RIS
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TY - JOUR
DO - 10.1073/pnas.1811250115
UR - https://doi.org/10.1073%2Fpnas.1811250115
TI - Ultrahigh-throughput functional profiling of microbiota communities
T2 - Proceedings of the National Academy of Sciences of the United States of America
AU - Terekhov, Stanislav S
AU - Malakhova, Maja V.
AU - Samoilov, Andrei E
AU - Manolov, Alexander I
AU - Danilov, Dmitry V
AU - Dubiley, Svetlana A
AU - Osterman, Ilya A.
AU - Rubtsova, Maria P
AU - Kostryukova, Elena S.
AU - Ziganshin, Rustam H.
AU - Vanyushkina, Anna A
AU - Bukato, Olga N.
AU - Ilina, Elena N
AU - Vlasov, Valentin V.
AU - Severinov, Konstantin V
AU - Smirnov, Ivan V.
AU - Nazarov, Anton S
AU - Kornienko, Maria A.
AU - Gabibov, Alexander G.
AU - Altman, Sidney
PY - 2018
DA - 2018/09/04 00:00:00
PB - Proceedings of the National Academy of Sciences (PNAS)
SP - 9551-9556
IS - 38
VL - 115
PMID - 30181282
SN - 0027-8424
SN - 1091-6490
ER -
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BibTex
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@article{2018_Terekhov,
author = {Stanislav S Terekhov and Maja V. Malakhova and Andrei E Samoilov and Alexander I Manolov and Dmitry V Danilov and Svetlana A Dubiley and Ilya A. Osterman and Maria P Rubtsova and Elena S. Kostryukova and Rustam H. Ziganshin and Anna A Vanyushkina and Olga N. Bukato and Elena N Ilina and Valentin V. Vlasov and Konstantin V Severinov and Ivan V. Smirnov and Anton S Nazarov and Maria A. Kornienko and Alexander G. Gabibov and Sidney Altman},
title = {Ultrahigh-throughput functional profiling of microbiota communities},
journal = {Proceedings of the National Academy of Sciences of the United States of America},
year = {2018},
volume = {115},
publisher = {Proceedings of the National Academy of Sciences (PNAS)},
month = {sep},
url = {https://doi.org/10.1073%2Fpnas.1811250115},
number = {38},
pages = {9551--9556},
doi = {10.1073/pnas.1811250115}
}
Cite this
MLA
Copy
Terekhov, Stanislav S., et al. “Ultrahigh-throughput functional profiling of microbiota communities.” Proceedings of the National Academy of Sciences of the United States of America, vol. 115, no. 38, Sep. 2018, pp. 9551-9556. https://doi.org/10.1073%2Fpnas.1811250115.
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