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The Spread of Antibiotic Resistance Genes In Vivo Model
Abstract
Infections caused by antibiotic-resistant bacteria are a major public health threat. The emergence and spread of antibiotic resistance genes (ARGs) in the environment or clinical setting pose a serious threat to human and animal health worldwide. Horizontal gene transfer (HGT) of ARGs is one of the main reasons for the dissemination of antibiotic resistance in vitro and in vivo environments. There is a consensus on the role of mobile genetic elements (MGEs) in the spread of bacterial resistance. Most drug resistance genes are located on plasmids, and the spread of drug resistance genes among microorganisms through plasmid-mediated conjugation transfer is the most common and effective way for the spread of multidrug resistance. Experimental studies of the processes driving the spread of antibiotic resistance have focused on simple in vitro model systems, but the current in vitro protocols might not correctly reflect the HGT of antibiotic resistance genes in realistic conditions. This calls for better models of how resistance genes transfer and disseminate in vivo. The in vivo model can better mimic the situation that occurs in patients, helping study the situation in more detail. This is crucial to develop innovative strategies to curtail the spread of antibiotic resistance genes in the future. This review aims to give an overview of the mechanisms of the spread of antibiotic resistance genes and then demonstrate the spread of antibiotic resistance genes in the in vivo model. Finally, we discuss the challenges in controlling the spread of antibiotic resistance genes and their potential solutions.
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These bacteria may transfer their resistance genes through horizontal transmission and allow the development of superbugs and pathogenic bacteria resistant to the most widely used antibiotics.
“These bacteria may transfer their resistance genes through horizontal transmission and allow the development of superbugs and pathogenic bacteria that are resistant to the most widely used antibiotics63,64.”
From Impact of untreated tannery wastewater in the evolution of multidrug-resistant bacteria in Bangladesh (2024) · cites this paper as [63]
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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
Horizontal gene transfer and adaptive evolution in bacteria.
Arnold, B. J., Huang, I.-T., & Hanage, W. P. (2022) · Nature Reviews Microbiology · doi:10.1038/s41579-021-00650-4 · Cited by 869 · cited 2×
“Horizontal gene transfer can also be carried out through lysogenic conversion, transposition, and protoplast fusion [17].”
BackgroundThe intestinal microbiota: Antibiotics, colonization resistance, and enteric pathogens
Kim, S., Covington, A., & Pamer, E. G. (2017) · Immunological Reviews · doi:10.1111/imr.12563 · Cited by 741
Stecher, B., Denzler, R., Maier, L., Bernet, F., Sanders, M. J., Pickard, D. J., Barthel, M., Westendorf, A. M., Krogfelt, K. A., Walker, A. W., et al. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1113246109 · Cited by 492
Horizontal transfer of antibiotic resistance genes in the human gut microbiome
McInnes, R. S., McCallum, G. E., Lamberte, L. E., & van Schaik, W. (2020) · Current Opinion in Microbiology · doi:10.1016/j.mib.2020.02.002 · Cited by 401
Antimicrobial resistance acquisition via natural transformation: context is everything
Winter, M., Buckling, A., Harms, K., Johnsen, P. J., & Vos, M. (2021) · Current Opinion in Microbiology · doi:10.1016/j.mib.2021.09.009 · Cited by 95
Flagged first, then by citations
Research works printed but not linked: 135
- 10.4103/2045-080x.186181 · DOI
- 10.1093/femsre/fux053 · DOI · Paper page
- 10.3389/fmicb.2016.00173 · DOI · Paper page
- 10.1016/j.tim.2020.05.011 · DOI
- 10.1038/s41467-020-17278-2 · DOI
- 10.1038/s41396-018-0275-x · DOI
- 10.1016/j.tim.2017.09.005 · DOI
- 10.1186/s40168-019-0663-0 · DOI
- 10.1042/ebc20160053 · DOI
- 10.1038/s41598-017-04662-0 · DOI
- 10.1128/aac.00014-16 · DOI
- 10.1038/ismej.2017.42 · DOI
- 10.1016/j.envint.2019.105007 · DOI
- 10.1007/s00239-018-9836-x · DOI
- 10.1139/cjm-2018-0275 · DOI
- 10.1016/j.scitotenv.2021.146009 · DOI
- 10.1093/gbe/evx192 · DOI
- 10.1038/s41467-021-22757-1 · DOI
- 10.3389/fmicb.2018.02154 · DOI
- 10.3389/fmicb.2020.00761 · DOI
- 10.3390/genes11111239 · DOI
- 10.1371/journal.pone.0208468 · DOI
- 10.1128/cmr.00088-17 · DOI · Paper page
- 10.3389/fcimb.2017.00126 · DOI
- 10.1016/j.ijantimicag.2018.01.023 · DOI
- 10.3390/antibiotics11010040 · DOI
- 10.1128/msphere.00853-20 · DOI
- 10.1016/j.tim.2018.06.007 · DOI
- 10.1038/s41396-021-01095-6 · DOI
- 10.1073/pnas.1315278110 · DOI
- 10.1038/s41598-019-47423-x · DOI
- 10.3389/fmicb.2018.02365 · DOI
- 10.1186/1471-2148-10-59 · DOI
- 10.1371/journal.ppat.1007878 · DOI
- 10.7717/peerj.12194 · DOI
- 10.1038/s41426-018-0169-z · DOI
- 10.1093/femsre/fux007 · DOI
- 10.1039/c9md00044e · DOI
- 10.1093/femsle/fnw211 · DOI
- 10.1038/s41579-020-00506-3 · DOI
- 10.1016/j.tim.2017.05.011 · DOI
- 10.1073/pnas.1906958116 · DOI
- 10.1038/nature12212 · DOI · Paper page
- 10.2147/idr.s48820 · DOI
- 10.1155/2021/1490732 · DOI
- 10.3389/fmicb.2020.00432 · DOI
- 10.1093/jac/dkx131 · DOI
- 10.3389/fmicb.2015.00864 · DOI
- 10.1186/s40168-019-0670-1 · DOI
- 10.4103/ijmr.ijmr_1979_17 · DOI
- 10.1080/19490976.2020.1799654 · DOI
- 10.1038/s41522-021-00260-1 · DOI
- 10.1186/s12864-016-3152-x · DOI
- 10.3109/1040841x.2013.804031 · DOI · Paper page
- 10.1038/s41551-019-0397-0 · DOI · Paper page
- 10.1186/s40168-018-0551-z · DOI
- 10.1038/mi.2016.75 · DOI
- 10.3390/ijerph17207618 · DOI
- 10.3390/microorganisms8101587 · DOI
- 10.1080/19490976.2021.2022442 · DOI
- 10.12688/f1000research.8468.1 · DOI
- 10.1371/journal.ppat.1010167 · DOI
- 10.1093/jac/dkr547 · DOI
- 10.3201/eid1606.091671 · DOI
- 10.1128/aac.50.2.596-599.2006 · DOI
- 10.1080/21505594.2015.1135289 · DOI
- 10.1007/s10565-018-09448-2 · DOI
- 10.1093/jac/dkr198 · DOI
- 10.1093/cid/civ191 · DOI
- 10.1128/msphere.00464-19 · DOI
- 10.4269/ajtmh.20-0258 · DOI
- 10.1016/j.ygeno.2021.05.003 · DOI
- 10.1111/j.1574-6968.2004.tb09614.x · DOI
- 10.1016/s1473-3099(11)70059-7 · DOI
- 10.1007/s11356-013-1905-5 · DOI
- 10.1080/03601234.2013.816611 · DOI
- 10.1016/j.mib.2011.04.009 · DOI · Paper page
- 10.1016/j.tim.2013.11.001 · DOI
- 10.1111/j.1574-6968.2009.01512.x · DOI
- 10.1007/s00248-015-0583-x · DOI
- 10.1111/mec.14255 · DOI
- 10.1016/j.envpol.2021.116760 · DOI
- 10.3389/fmicb.2017.02199 · DOI
- 10.1016/j.aninu.2018.04.006 · DOI · Paper page
- 10.4081/ijfs.2019.7956 · DOI
- 10.1016/s2542-5196(17)30182-1 · DOI
- 10.3168/jds.2017-12939 · DOI
- 10.3390/microorganisms4010012 · DOI
- 10.24272/j.issn.2095-8137.2020.131 · DOI
- 10.1089/mdr.2017.0198 · DOI
- 10.1128/msphere.00329-20 · DOI
- 10.1089/fpd.2020.2792 · DOI
- 10.3389/fmicb.2020.00322 · DOI
- 10.3390/ijms222312661 · DOI
- 10.1016/j.ecoenv.2020.110461 · DOI
- 10.1136/bmjquality.u211706.w4738 · DOI
- 10.1016/j.mib.2015.03.004 · DOI
- 10.3389/fmicb.2015.00528 · DOI
- 10.1128/mmbr.00044-12 · DOI
- 10.1021/acssynbio.7b00254 · DOI
- 10.1006/jmbi.1999.3493 · DOI
- 10.1093/nar/gkp478 · DOI
- 10.1093/nar/gkp1144 · DOI
- 10.1111/1574-6968.12005 · DOI
- 10.3389/fmicb.2016.00011 · DOI
- 10.2147/idr.s247271 · DOI
- 10.1128/msphere.00064-16 · DOI
- 10.1371/journal.pone.0225131 · DOI
- 10.1038/s41396-020-0623-5 · DOI
- 10.3389/fcimb.2020.619763 · DOI
- 10.1038/s41396-020-00860-3 · DOI
- 10.1007/s00203-021-02595-x · DOI
- 10.1128/mbio.00227-10 · DOI
- 10.2147/idr.s358248 · DOI
- 10.1038/s41579-019-0204-7 · DOI
- 10.1186/s12951-021-01132-8 · DOI
- 10.1016/j.cell.2017.11.032 · DOI
- 10.1038/s41564-020-0692-2 · DOI
- 10.1146/annurev-genet-120417-031321 · DOI
- 10.47391/JPMA.1331 · DOI
- 10.3390/antibiotics9020049 · DOI
- 10.1093/jac/dkab450 · DOI
- 10.1038/nature14098 · DOI
- 10.1016/j.msec.2016.12.125 · DOI
- 10.1111/pbi.13383 · DOI
- 10.1016/j.drup.2016.11.001 · DOI
- 10.1186/s12941-019-0317-x · DOI
- L. Tetsch, 2017, The adaptive bacterial immune system CRISPR-Cas and its therapeutic potential, Medizinische Monatsschrift fur Pharmazeuten, 40, 17
- 10.1016/j.ijantimicag.2018.09.017 · DOI
- 10.3390/antibiotics10070756 · DOI
- 10.1038/s41598-017-07584-z · DOI
- 10.1016/j.biortech.2014.08.079 · DOI
- 10.1038/nrg3962 · DOI
- 10.1038/s41579-020-00497-1 · DOI
- 10.1016/j.plasmid.2017.04.002 · DOI
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Mahmud, Z., Manik, M. R. K., Rahman, A., Karim, M. M., & Islam, L. N. (2024) · Scientific Reports · doi:10.1038/s41598-024-71472-6 · Cited by 22
Metadata
- Authors
- Tao, S., Chen, H., Li, N., Wang, T., & Liang, W.
- Venue
- Canadian Journal of Infectious Diseases and Medical Microbiology
- Publisher
- Wiley
- Published
- 2022-07-18
- Volume
- 2022
- Pages
- 1-11
- ISSN
- 1918-1493
- 1712-9532
- PMC
- PMC9314185
- Cited by
- 189
- References
- 6
- Language
- en
- Funders
- Jiangsu University (BK20191210, BRA2019248, H2018073, SF2015)
- Department of Laboratory Medicine of the Second People’s Hospital of Lianyungang City (BK20191210, BRA2019248, H2018073, SF2015)
- Natural Science Foundation of Jiangsu Province (BK20191210, BRA2019248, H2018073, SF2015)
- Fifth Phase of the “333 Project” Scientific Research Project in Jiangsu Province (BK20191210, BRA2019248, H2018073, SF2015)
- Jiangsu Commission of Health (BK20191210, BRA2019248, H2018073, SF2015)
- Lianyungang Science and Technology Bureau (BK20191210, BRA2019248, H2018073, SF2015)
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