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Resistome

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122:. These resistance cassettes also contain sequences that reflect recent horizontal gene transfer and provide the mechanism for how that transfer occurred. These antibiotic resistant genes also retain their functionality even after they are entirely removed from the context of their original host, emphasizing their compatibility with a wide range of hosts, including pathogens. Interestingly, the high conservation of resistance gene identity also was observed in the human gut microbiome. Although the average amino acid similarity between human gut microbiota and resistant pathogens was only around 30.2 to 45.5%, their resistance genes perfectly matched those of the pathogenic bacteria, suggesting the resistomes of the human gastrointestinal tract, soil, and clinical pathogens are all connected. It should be noted, however, that the risk of transmission cannot simply be extrapolated from abundance of resistome genes in a population, and a multifaceted approach to risk analyses should be considered to fully understand the risks posed. For example, the mobility of antibiotic resistant genes has been observed to be dependent on if the population is pathogenic or not, with pathogen communities having far higher proportions of mobile genetic elements. 140:
useful tools for understanding how human impact influences the spread of resistance genes. An effect of the introduction of high levels of human-made antibiotics in the environment is the promotion of antibiotic resistance even in the absence of natural antibiotic production. Secondary stress conditions like heavy metal pollution cause higher HGT as a stress response, which also likely contributes to the dissemination of antibiotic resistant genes. Also, rapid increase in human populations without adequate wastewater treatment allows for more chance for human pathogens to be in contact with environmental resistance-carrying bacteria, so it's important to look to wastewater treatment as a source of HGT.
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and blood systems, and our saliva readily transfers bacteria to other people, so there are several ways for antibiotic resistant bacteria in the oral micriobiome to readily transfer their resistance genes to other, potentially pathogenic bacterial communities. Additionally, soil and pathogenic resistomes have been observed not to be distinct, so it’s essential that we understand environmental resistance in aquatic and other environments with high likelihood of human pathogen interaction. In the hyper-antibiotic resistant
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antibiotics regardless of where they'd originated. In this study, they observed nearly 200 different resistance profiles among the bacteria sequenced, indicating a diverse and robust response to the antibiotics tested regardless of their bacterial target or natural or synthetic origin. Antibiotic resistant bacteria have observed through
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for antibiotic resistance naturally in the environment. For this reason, studying natural antibiotics and the patterns of antibiotic resistance that naturally arise in the wild may help us to predict and respond to antibiotic resistance in clinical settings. Analyses of metagenomic sequence data are
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When antibiotic resistance is present in the environment, it is important to consider how human pathogens are interacting or integrated into those environments, and how antibiotic resistance is being exchanged there. For example, mouth bacteria can reach other parts of the body through the digestive
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Our understanding of how humans create additional positive selective pressure for antibiotic resistance in non-clinical environments is essential now more than ever. The rise in antibiotic resistance has severely reduced the efficacy of antibiotic drugs, posing severe cause for concern in the realm
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The resistome was first used to describe the resistance capabilities of bacteria preventing the effectiveness of antibiotics . Although antibiotics and their accompanying antibiotic resistant genes come from natural habitats, before next-generation sequencing, most studies of antibiotic resistance
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were present at all levels of filtration, and these mobile elements harbored genes for resistance. These soil and water-based resistant communities are known as reservoirs, from which resistance can transfer to pathogenic bacteria. Metagenomic sequencing and short-read based assembly have revealed
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next-generation sequencing techniques have revealed significant reservoirs of antibiotic resistant bacteria outside of clinical settings. Repeated testing of soil metagenomes revealed that in urban, agricultural, and forest environments, spore-forming soil bacteria showed resistance to most major
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can be used to help define the size and position of the resistome, this set of genes conferring an inherited immune response. Because of mutation, the ‘universal resistome’, a set of resistance genes shared among all mice, similar to the concept of the pan-microbiome, is likely extremely small.
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surveys in non-clinical environments such as water treatment facilities and human microbiomes like the mouth. We now know that the antibiotic resistome exists in every environmental niche on Earth, and sequences from ancient permafrost reveal that antibiotic resistance has been around millennia
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was created to compile a database of resistance genes from this rapidly increasingly available bacterial genomic data. The CARD is a compilation of sequence data and identification of resistance genes in unannotated genome sequences. The database "includes bioinformatic tools that enable the
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environmental stress key to the way its resistome is expressed; intrinsic, acquired, and adaptive forms of resistant gene expression occur under different environmental pressures and lead to significant challenges in developing effective treatments in response.
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of drug development and maintaining public health. Human-manufactured antibiotics are not the only source of antibiotic resistant pressure in the wild, as antibiotics are present at various concentrations and function as both defense and signaling mechanisms,
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the exchange of antibiotic resistance genes between non-pathogenic environmental soil bacteria and clinical pathogens. The portions in the soil bacteria perfectly match the identity of several diverse human pathogens and contain resistance
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Dias MF, da Rocha Fernandes G, Cristina de Paiva M, Christina de Matos Salim A, Santos AB, Amaral Nascimento AM (May 2020). "Exploring the resistome, virulome and microbiome of drinking water in environmental and clinical settings".
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A major question surrounding the environmental resistome is: How do pathogenic bacteria acquire antibiotic resistance genes from the environment (and vice versa)? To answer this, we need to consider the mechanisms of
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In soil antibiotic resistant bacterial communities, resistance-conferring genes have been found on mobile genetic elements. Similarly, in an analysis of the resistome in a water treatment plant,
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Marathe R, Guan Z, Anandalakshmi R, Zhao H, Dinesh-Kumar SP (July 2004). "Study of Arabidopsis thaliana resistome in response to cucumber mosaic virus infection using whole genome microarray".
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Manaia CM, Rocha J, Scaccia N, Marano R, Radu E, Biancullo F, et al. (June 2018). "Antibiotic resistance in wastewater treatment plants: Tackling the black box".
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All of the resistance genes in an organism, how they are inherited, and how their transcription levels vary to defend against pathogens like viruses and bacteria.
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activated regions on  the chromosome for resistance against both bacteria and viruses are clustered together, likely meaning they are co-regulated.
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Beutler B, Crozat K, Koziol JA, Georgel P (February 2005). "Genetic dissection of innate immunity to infection: the mouse cytomegalovirus model".
793:"Assessing the Risk of Antibiotic Resistance Transmission from the Environment to Humans: Non-Direct Proportionality between Abundance and Risk" 78:”. It is a resource intended to create a better understanding of the resistome and links healthcare, environmental, agricultural datasets. 1061: 692:"Determining the antibiotic resistance potential of the indigenous oral microbiota of humans using a metagenomic approach" 961:
Breidenstein EB, de la Fuente-NĂșñez C, Hancock RE (August 2011). "Pseudomonas aeruginosa: all roads lead to resistance".
733:"Global ocean resistome revealed: Exploring antibiotic resistance gene abundance and distribution in TARA Oceans samples" 148:
The resistome also refers to an inherited set of genes used to resist infections. This concept is also referred to as
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Cuadrat, Rafael R C; Sorokina, Maria; Andrade, Bruno G; Goris, Tobias; DĂĄvila, Alberto M R (2020-05-01).
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was published in 2020 to store the Global Ocean Resistome ., based on the metagenomics samples from the
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D'Costa VM, McGrann KM, Hughes DW, Wright GD (January 2006). "Sampling the antibiotic resistome".
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MartĂ­nez JL (July 2008). "Antibiotics and antibiotic resistance genes in natural environments".
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genes from whole- or partial-genome sequence data, including unannotated raw sequence assembly
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Diaz-Torres ML, Villedieu A, Hunt N, McNab R, Spratt DA, Allan E, et al. (May 2006).
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McArthur AG, Waglechner N, Nizam F, Yan A, Azad MA, Baylay AJ, et al. (July 2013).
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Forsberg KJ, Patel S, Gibson MK, Lauber CL, Knight R, Fierer N, Dantas G (May 2014).
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Forsberg KJ, Reyes A, Wang B, Selleck EM, Sommer MO, Dantas G (August 2012).
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has been used to describe to two similar yet separate concepts:
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had been confined to the laboratory. Increased availability of
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before the introduction of human-synthesized antibiotics.
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in communities of both pathogenic and non-pathogenic
632:"Antibacterial drug discovery in the resistance era" 685: 683: 681: 524:"The comprehensive antibiotic resistance database" 338: 336: 334: 332: 330: 328: 326: 67:Comprehensive Antibiotic Research Database (CARD) 842: 840: 838: 836: 834: 832: 830: 828: 517: 515: 513: 511: 509: 457: 455: 453: 451: 449: 786: 784: 282: 280: 278: 276: 240: 238: 236: 234: 569: 567: 8: 625: 623: 621: 396: 394: 392: 390: 1031: 1021: 937: 880: 808: 764: 707: 547: 198: 173: 996:Aguirre de CĂĄrcer D (September 2018). 528:Antimicrobial Agents and Chemotherapy 159:Comparing different mutations in the 7: 630:Brown ED, Wright GD (January 2016). 14: 709:10.1111/j.1574-6968.2006.00221.x 181:Wright, Gerard D. (March 2007). 1: 247:Current Opinion in Immunology 596:10.1016/j.envint.2018.03.044 424:10.1016/j.watres.2020.115630 749:10.1093/gigascience/giaa046 187:Nature Reviews Microbiology 1083: 1023:10.1038/s41598-018-32221-8 43:Discovery and Current Data 975:10.1016/j.tim.2011.04.005 810:10.1016/j.tim.2016.11.014 696:FEMS Microbiology Letters 576:Environment International 301:10.1007/s11103-004-0439-0 259:10.1016/j.coi.2004.11.004 109:and other protein-coding 1062:Antimicrobial resistance 791:Manaia CM (March 2017). 100:horizontal gene transfer 873:10.1126/science.1220761 484:10.1126/science.1159483 365:10.1126/science.1120800 289:Plant Molecular Biology 111:mobile genetic elements 963:Trends in Microbiology 797:Trends in Microbiology 128:Pseudomonas aeruginosa 120:classes of antibiotics 154:Arabidopsis thaliana, 72:antibiotic resistance 26:antibiotic resistance 540:10.1128/AAC.00419-13 144:Infection resistance 1014:2018NatSR...814069A 930:10.1038/nature13377 922:2014Natur.509..612F 865:2012Sci...337.1107F 656:10.1038/nature17042 648:2016Natur.529..336B 588:2018EnInt.115..312M 476:2008Sci...321..365M 416:2020WatRe.17415630D 357:2006Sci...311..374D 200:10.1038/nrmicro1614 87:Tara Oceans Project 1002:Scientific Reports 70:identification of 859:(6098): 1107–11. 1074: 1046: 1045: 1035: 1025: 993: 987: 986: 958: 952: 951: 941: 901: 895: 894: 884: 844: 823: 822: 812: 788: 779: 778: 768: 728: 722: 721: 711: 687: 676: 675: 642:(7586): 336–43. 627: 616: 615: 571: 562: 561: 551: 519: 504: 503: 459: 444: 443: 398: 385: 384: 340: 321: 320: 284: 271: 270: 242: 229: 228: 202: 178: 1082: 1081: 1077: 1076: 1075: 1073: 1072: 1071: 1052: 1051: 1050: 1049: 995: 994: 990: 960: 959: 955: 916:(7502): 612–6. 903: 902: 898: 846: 845: 826: 790: 789: 782: 730: 729: 725: 689: 688: 679: 629: 628: 619: 573: 572: 565: 521: 520: 507: 470:(5887): 365–7. 461: 460: 447: 400: 399: 388: 351:(5759): 374–7. 342: 341: 324: 286: 285: 274: 244: 243: 232: 180: 179: 175: 170: 150:innate immunity 146: 95: 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737:GigaScience 582:: 312–324. 83:ResistomeDB 59:metagenomic 54:metagenomic 1056:Categories 410:: 115630. 168:References 757:2047-217X 440:211556937 209:1740-1526 137:selecting 116:cassettes 18:resistome 1067:Genomics 1042:30232462 983:21664819 948:24847883 891:22936781 819:28012687 775:32391909 718:16640582 664:26791724 604:29626693 558:23650175 500:38529155 492:18635792 432:32105997 381:14411188 373:16424339 309:15604696 267:15653308 217:17277795 161:germline 107:plasmids 33:bacteria 24:All the 1033:6145917 1010:Bibcode 939:4079543 918:Bibcode 882:4070369 861:Bibcode 853:Science 766:7213576 672:4401156 644:Bibcode 612:4686577 584:Bibcode 549:3697360 472:Bibcode 464:Science 412:Bibcode 353:Bibcode 345:Science 317:7460917 225:6820908 76:contigs 1040:  1030:  981:  946:  936:  910:Nature 889:  879:  817:  773:  763:  755:  716:  670:  662:  636:Nature 610:  602:  556:  546:  498:  490:  438:  430:  379:  371:  315:  307:  265:  223:  215:  207:  743:(5). 668:S2CID 608:S2CID 496:S2CID 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Index

antibiotic resistance
genes
bacteria
whole-genome
metagenomic
metagenomic
Comprehensive Antibiotic Research Database (CARD)
antibiotic resistance
contigs
ResistomeDB
Tara Oceans Project
horizontal gene transfer
plasmids
mobile genetic elements
cassettes
classes of antibiotics
selecting
innate immunity
germline
"The antibiotic resistome: the nexus of chemical and genetic diversity"
doi
10.1038/nrmicro1614
ISSN
1740-1526
PMID
17277795
S2CID
6820908

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