The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Insights into Antibiotic Resistance Through Metagenomic Approaches
Abstract
The consequences of bacterial infections have been curtailed by the introduction of a wide range of antibiotics. However, infections continue to be a leading cause of mortality, in part due to the evolution and acquisition of antibiotic-resistance genes. Antibiotic misuse and overprescription have created a driving force influencing the selection of resistance. Despite the problem of antibiotic resistance in infectious bacteria, little is known about the diversity, distribution and origins of resistance genes, especially for the unculturable majority of environmental bacteria. Functional and sequence-based metagenomics have been used for the discovery of novel resistance determinants and the improved understanding of antibiotic-resistance mechanisms in clinical and natural environments. This review discusses recent findings and future challenges in the study of antibiotic resistance through metagenomic approaches.
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Cites
A human gut microbial gene catalogue established by metagenomic sequencing
MetaHIT Consortium, Qin, J., Li, R., Raes, J., Arumugam, M., Burgdorf, K. S., Manichanh, C., Nielsen, T., Pons, N., Levenez, F., et al. (2010) · Nature · doi:10.1038/nature08821 · Cited by 11,624
Obesity alters gut microbial ecology
Ley, R. E., Bäckhed, F., Turnbaugh, P., Lozupone, C. A., Knight, R. D., & Gordon, J. I. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0504978102 · Cited by 6,176
Host-Bacterial Mutualism in the Human Intestine
Bäckhed, F., Ley, R. E., Sonnenburg, J. L., Peterson, D. A., & Gordon, J. I. (2005) · Science · doi:10.1126/science.1104816 · Cited by 5,277
Ecological and Evolutionary Forces Shaping Microbial Diversity in the Human Intestine
Ley, R. E., Peterson, D. A., & Gordon, J. I. (2006) · Cell · doi:10.1016/j.cell.2006.02.017 · Cited by 3,358
Succession of microbial consortia in the developing infant gut microbiome
Koenig, J. E., Spor, A., Scalfone, N., Fricker, A. D., Stombaugh, J., Knight, R., Angenent, L. T., & Ley, R. E. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1000081107 · Cited by 2,540
Sampling the Antibiotic Resistome
D'Costa, V. M., McGrann, K. M., Hughes, D. W., & Wright, G. D. (2006) · Science · doi:10.1126/science.1120800 · Cited by 1,594
Jakobsson, H. E., Jernberg, C., Andersson, A. F., Sjölund-Karlsson, M., Jansson, J. K., & Engstrand, L. (2010) · PLoS ONE · doi:10.1371/journal.pone.0009836 · Cited by 1,160
Functional characterization of the antibiotic resistance reservoir in the human microflora
Sommer, M. O. A., Dantas, G., & Church, G. M. (2009) · Science · doi:10.1126/science.1176950 · Cited by 878
Antibiotic resistance in the environment: a link to the clinic?
Wright, G. D. (2010) · Current Opinion in Microbiology · doi:10.1016/j.mib.2010.08.005 · Cited by 831
Computational solutions to large‐scale data management and analysis
Schadt, E. E., Linderman, M. D., Sorenson, J., Lee, L., & Nolan, G. P. (2010) · Nature Reviews Genetics · doi:10.1038/nrg2857 · Cited by 631
Cited by
Guo, J., Li, J., Chen, H., Bond, P. L., & Yuan, Z. (2017) · Water Research · doi:10.1016/j.watres.2017.07.002 · Cited by 852
Yukgehnaish, K., Kumar, P., Sivachandran, P., Marimuthu, K., Arshad, A., Paray, B. A., & Arockiaraj, J. (2020) · Reviews in Aquaculture · doi:10.1111/raq.12416 · Cited by 470
Combating Multidrug‐Resistant Bacteria: Current Strategies for the Discovery of Novel Antibacterials
O'Connell, K. M. G., Hodgkinson, J. T., Sore, H. F., Welch, M., Salmond, G. P. C., & Spring, D. R. (2013) · Angewandte Chemie International Edition · doi:10.1002/anie.201209979 · Cited by 435
Metagenomic Insights into Transferable Antibiotic Resistance in Oral Bacteria
Sukumar, S., Roberts, A. P., Martin, F. E., & Adler, C. J. (2016) · Journal of Dental Research · doi:10.1177/0022034516648944 · Cited by 84
Field, W., & Hershberg, R. (2015) · Genome Biology and Evolution · doi:10.1093/gbe/evv102 · Cited by 19
Metadata
- Authors
- Schmieder, R., & Edwards, R.
- Venue
- Future Microbiology
- Publisher
- Informa UK Limited
- Published
- 2011-12-22
- Volume
- 7
- Issue
- 1
- Pages
- 73-89
- ISSN
- 1746-0913 (ISSN-L)
- 1746-0921
- OpenAlex
- W2157805245
- Cited by
- 301
- References
- 12
- FWCI
- 6.31
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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