Skip to main content

Thank you for visiting You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

A framework for identifying the recent origins of mobile antibiotic resistance genes


Since the introduction of antibiotics as therapeutic agents, many bacterial pathogens have developed resistance to antibiotics. Mobile resistance genes, acquired through horizontal gene transfer, play an important role in this process. Understanding from which bacterial taxa these genes were mobilized, and whether their origin taxa share common traits, is critical for predicting which environments and conditions contribute to the emergence of novel resistance genes. This knowledge may prove valuable for limiting or delaying future transfer of novel resistance genes into pathogens. The literature on the origins of mobile resistance genes is scattered and based on evidence of variable quality. Here, we summarize, amend and scrutinize the evidence for 37 proposed origins of mobile resistance genes. Using state-of-the-art genomic analyses, we supplement and evaluate the evidence based on well-defined criteria. Nineteen percent of reported origins did not fulfill the criteria to confidently assign the respective origin. Of the curated origin taxa, >90% have been associated with infection in humans or domestic animals, some taxa being the origin of several different resistance genes. The clinical emergence of these resistance genes appears to be a consequence of antibiotic selection pressure on taxa that are permanently or transiently associated with the human/domestic animal microbiome.


Antibiotic resistance has become a major threat to the fundaments of modern medicine during the last decades. Resistance genes have emerged against almost all classes of antibiotics, even against those considered last resort. Mobile antibiotic resistance genes (ARGs) are associated with a variety of mobile genetic elements (MGEs) that enable these genes to spread to new hosts, even across taxonomic boundaries. Insertion sequences (ISs)1,2 and IS common region (ISCR) elements3,4,5 have been shown to provide both mobility and strong promotors for the expression of ARGs. In several cases, these are key elements for the mobilization of ARGs from a bacterial chromosome to transferable MGE, such as plasmids or conjugative transposons6,7,8. Although novel ARGs frequently are reported, their origins, meaning the bacterial taxa from which these genes were mobilized, facilitating their transfer to clinically relevant mobile vectors, are unknown for the largest part. Understanding where ARGs come from and which environments, conditions, and/or human practices favor their emergence is necessary to effectively mitigate the emergence of still unknown ARGs in the clinics. Such knowledge will, however, likely be of limited use for managing the ARGs that are already found in the clinics, as it has been shown that once emerged, ARGs are maintained in parts of a population for a long time even in absence of selection pressure, making their emergence practically irreversible9,10.

Predicting the conditions that are likely to favor the emergence of new ARGs based on the known origins of single or a few ARGs is difficult. However, identifying the origins of a greater number of ARGs may enable us to recognize underlying patterns, such as shared characteristics of origin species, how ARGs are mobilized from their most recent non-mobile origin, the environments they thrive in or their connections to human- or animal associated bacteria. A strong hypothesis is that selection pressure from antibiotic use in humans and domestic animals has played a critical role in their emergence11,12. As the environmental reservoir of ARGs is much greater than what is identified in the human and domestic animal microbiota, it is possible that other environments, as well as anthropogenic selection pressures in those environments, play a critical role in this development too13,14. Although the origins of some mobile ARGs have been reported and extensive reviews exist on the origin and dissemination of specific groups of clinically problematic ARGs such as mobile AmpC enzymes15,16 or CTX-M family β-lactamases17, there is no summary or analysis of all proposed ARG origins to date. Furthermore, the types and quality of evidence presented to identify those origins vary substantially, from mostly molecular methods to (more recently) purely sequencing-based approaches. This creates the need to carefully evaluate each reported ARG origin based on a fixed set of criteria, to ensure the integrity of our knowledge about ARG origins and guide future efforts to identify these.

In this study, we establish a set of comparative criteria that can be used to identify the origins of mobile ARGs on at least genus level with high confidence, based on patterns recognized from thorough literature research. We evaluate the evidence on each previously reported origin based on these criteria and supplement missing data (if available) through amendment with publicly available genome data and state-of-the-art comparative genomics analysis. Finally, we analyze the existing data and discuss what we can conclude from the curated list of origins with regards to overarching patterns on origin species traits and taxonomy, as well as mode of ARG mobilization from their origin and potential circumstances favoring their emergence in human pathogens.

Scrutinizing previous reports, we find that only 81% of suggested origins are supported by the data. We show that all confirmed origin taxa are Proteobacteria, several species being the origin of several ARGs and almost all associated with infection in humans or domestic animals. These results highlight the potential importance of the human/animal body as mobilization hotspots for ARGs. Still, the lack of known origins for the great majority of ARGs points towards unsequenced environmental bacteria as likely sources.


Our literature search yielded 3342 articles. After screening of all hits (including the references of articles deemed relevant), 43 articles providing evidence for genus or species origins of an ARG were retained for further analysis, which is illustrated in Fig. 1.

Fig. 1: Comparative genomics workflow.
figure 1

Workflow and tools/databases used for amendment and scrutinization of proposed origins of ARGs.

Definition of origin

For mobile ARGs found in pathogens, we use the term recent origin, describing the bacterium belonging to the evolutionary most recent taxon where the ARG is widespread, but commonly not associated with (any of) the MGE(s) (e.g., IS, integron, transposon, plasmid, or as part of an integron) that played a role in the ARGs transition to its clinically relevant contexts. Thus, recent origin does not encompass the evolutionary processes that shaped the genes functionality, whether ancient18 or recent17, nor ancient transfers across taxa involving different mechanisms. This distinction is important, because there is evidence that the recent origins of some genes may not necessarily be the taxonomic context in which the respective gene originally evolved. For guiding mitigations, however, it is most important to understand from which bacteria ARGs have been mobilized prior to being transferred to pathogens, processes where anthropogenic activities could have played a role. The mobile qnrB gene, e.g., shown to have been mobilized to clinically important plasmids from the chromosome of Citrobacter spp., is found in several but not all species of the genus. Yet, their genetic environment is very similar in all species harboring the gene on their chromosome19. Similar findings have been reported for PER-type8 and qnrE20 genes. This suggests that certain lineages of these genera may have acquired the respective genes at some point during their more ancient evolution, before they were mobilized to the MGEs that we observe in clinical isolates today (see Fig. 2).

Fig. 2: The principle of recent origins.
figure 2

Schematic phylogeny illustrating the principle of recent origins of ARGs. Blue arrows represent horizontal gene transfer events (HGT); red circle on node represents an ARG progenitor. Changing color of circle represents sequence evolution over time. Two possible scenarios are shown: ARG A evolves in the same taxonomic clade as the ARG progenitor prior to being transferred to a pathogen. In case of ARG B, the ARG progenitor is acquired through an ancient HGT event before it is, more recently, transferred to pathogens, and is thus not present in the sister clades of the recent origin of ARG B. In both cases, the recent origin is the taxon from which the gene is mobilized into clinically relevant contexts.

Formulation of evaluation criteria

By scrutinizing previously proposed origins and thorough reflection on the strength of different lines of evidence, we formulated the following criteria to identify the recent origin of an ARG (Fig. 3):

  • The mobile ARG is associated with a recognizable genetic element that may provide mobility, such as a plasmid, transposon, IS, or ISCR element.

  • In the proposed origin taxon, the ARG is found in a genetic context that does not appear transferable by common mechanisms, such as association with plasmids, transposons, etc.

  • There is conserved synteny (the genes in the intermediate vicinity of the ARG are arranged in the same/similar order) between the origin chromosome and the mobile ARG locus (due to co-mobilized genes). This criterion excludes genes potentially providing mobility (such as IS) and is rarely applicable for gene cassettes, as usually no surrounding genes are co-mobilized.

  • There is high nucleotide identity between the mobile ARG, including the complete mobilized sequence, and the native ARG locus (the higher identity, the stronger the evidence). For confident recent origin genus or species assignment, nucleotide identities we used ≥90% and ≥95%, respectively.

  • The synteny of the ARG locus is to some extent conserved in several species of the origin genus, but the ARG loci are not identical with respect to nucleotide identity.

Fig. 3: Assigning the recent origin of an ARG.
figure 3

Graphical representation of strong evidence for assigning the recent origin of an ARG using the evaluation criteria described above.

It is noteworthy that functionality—the ability of a gene to provide resistance—is not part of the criteria, as it is a blunt tool compared to sequence-based analysis. Indeed, several ARGs have been shown not to confer resistance in their original host under the investigated conditions21,22.

The majority of confirmed origins are pathogenic non-producers

We have scrutinized the evidence on the origin of 37 groups of ARGs, which, to the best of our knowledge, summarizes the current literature on specific origins of ARGs. For each ARG group, a detailed description and discussion on the evidence or lack thereof for its proposed origin is provided in supplementary note 1. Based on the criteria set up here, 30 (81%) of the proposed origins could be confirmed for the respective ARG group, though we had to supplement data from our own analysis for most to fulfill all criteria. In seven cases (19%), the criteria were not sufficiently fulfilled to confidently assign an origin (MCR-4, MCR-9, MCR-8, MCR-3, KPC, QnrS, and TetX detailed information in Table 1 and Supplementary Note 1 under the respective paragraph). Further data would be needed to confirm or correct the reported origins of those resistance genes. An increase in the taxonomic resolution of one of the reports through our analysis identified the recent origin of qnrE as Enterobacter mori, where previously only an origin in Enterobacter spp. was reported (see Supplementary Note 1qnrE from Enterobacter spp.). The origins of 27 groups of ARGs could be confirmed on species level, resulting in 22 species groups, all of those being Proteobacteria. None of the here reported recent origins are known antibiotic producers (although this was expected for, e.g., the origins of qnr genes, as fluoroquinolones are synthetic antibiotics not produced in nature). The respective mobilized genes encode resistance to five different classes of antibiotics: aminoglycosides (6.8%), β-lactams (62%), fluoroquinolones (13.7%), fosfomycin (13.7%), and colistin (3.4%) (see Table 1).

Table 1 Evidence for proposed origins of specific ARGs.

Interestingly, nearly all origin species have previously been associated with humans and/or domestic animals. Out of 22 origins identified at species level, 21 (95%) have been isolated from humans or domestic animals, the exception being Rheinheimera pacifica, the likely origin species of LMB-1. For comparison, out of 100 randomly selected proteobacterial species with available genomes, 28 species have been isolated from humans or domestic animals, whereas 72 were not (Fisher’s exact test odds ratio: 54.0, p = 3.08e − 9).

More strikingly, all of these origin taxa (except R. pacifica) have been isolated from infection sites. For comparison, out of the 100 randomly selected proteobacterial species, 24 species have been isolated from infection sites, whereas 76 have not (Fig. 4). Based on this subsample of proteobacterial species, Fisher’s exact test showed that the odds of being an origin were higher for species that have been reported in infection compared to species that never have been reported in infection (Fisher’s exact test odds ratio: 66.5, p = 3.13e − 10).

Fig. 4: Association with infection for randomly selected Proteobacteria and origin species.
figure 4

Grouped barchart showing number of species reported in infection for origin and non-origin species (n = 122). Non-origin species were randomly selected from all proteobacterial species in the NCBI Assembly database. Fisher’s exact test odds ratio: 66.5, p = 3.13e − 10.

More ARGs are associated with transposable non-integron elements than with integrons

None of the genes for which origins have been confirmed is a gene cassette and the evidence suggests in most cases that the genes have been moved from their original context by IS or ISCR elements. Our analysis of associations of ARGs with different modes of mobility (gene cassette vs. transposable unit (excluding mobile integrons)-associated) resulted in 144 different genes belonging to 63 protein families being classified as gene cassettes, whereas 512 genes from 264 families were classified as associated with transposons. Although we can identify gene cassettes from clinically relevant integron classes with relatively high confidence, the estimate on transposon-borne ARGs is much more speculative, as it is difficult to say whether the respective IS/ISCR/transposon truly provides mobility to the respective ARG, or whether it is just present in close vicinity due to the highly mosaic nature of many ARG-bearing MGEs.


The criteria proposed in this study for identifying the origins of a mobile ARG are a reflection of what we found in the literature—many studies describing the recent origins of mobile ARGs paint a consistent picture: the mobile ARG is usually associated with a genetic element providing mobility, whereas such an element is not present at the presumed non-mobile ARG locus. In nearly all cases, one or several genes from the non-mobile genetic environment of the ARG have been co-mobilized to the mobile ARG locus and the nucleotide identity between the non-mobile and the mobile ARG locus is high, including non-coding regions. The identity cutoffs for genus/species origins specified in criterion 4 are based on the observations made in this study (see Table 1). The presence of the gene locus (although somewhat divergent) in closely related species helps to establish whether the locus has been associated with the respective species chromosome for some time. The majority of the criteria apply in all cases where there is strong evidence for the origins of an ARG—which is why we propose it should be a standard procedure to check for these criteria when investigating a species as origin of an ARG. It should however be noted that in some cases not all criteria would have to be fulfilled to assign an origin—a gene cassette for example will rarely be associated with co-mobilized genes.

All of the to date, with high confidence, identified origin species are Gram-negative Proteobacteria and have been, with the exception of one species, reported in infections of humans and/or domestic animals. Many of these species are well-studied human and animal pathogens or commensals, such as Citrobacter freundii, Klebsiella pneumoniae, or Acinetobacter baumanii. Even more intriguing is that many species/genera are the origin of not a single, but often several different ARG families. K. pneumoniae is, e.g., not only the recent origin of SHV-type β-lactamases23 but also of the mobile oqxAB efflux pump24 and the fosA5/6 fosfomycin resistance genes. Kluyvera georgiana is the recent origin of both the CTX-M-8/9 cluster of class A β-lactamases25 and the fosfomycin resistance genes fosA3/426, whereas the C. freundii complex is the recent origin of the qnrB19 and CMY-227 family genes. Our analysis suggests that a proteobacterial species is much more likely to be the origin of an ARG if it has been isolated from an infection site in humans or domesticated animals. The overrepresentation analysis shows that this finding is not simply a product of database bias towards pathogenic species, as the great majority of randomly sampled proteobacterial species in the NCBI Assembly database have not been reported in infection. Although this does not at all exclude the possibility of other environmental bacteria (meaning species more often associated with external environments) serving as origin species, this data strongly suggests that the potential of a bacterial species to be a recent origin of an ARG is linked to its ability to colonize humans or domesticated animals, at least for proteobacterial species. In these environments, those species may experience severe antibiotic selection pressure and at the same time encounter MGEs that have mobilized ARGs in the past. As previously mentioned, there is also convincing evidence that in many cases different variants of the same ARG family have emerged independently from one another, as opposed to being the result of post-mobilization evolution. This includes the CMY-1/MOX-1 AmpC enzymes from Aeromonas spp.28, the PER ESBLs from Pararheinheimera spp.8 (Fig. 5, blaPER-6 locus as reported by Nordmann et al.29), the SHV and FosA5/6 genes from K. pneumoniae23, the ACT/MIR AmpC cephalosporinases from Enterobacter cloacae/asburiae30,31, qnrB from Citrobacter spp., different variants of OXA-51-like genes from Acinetobacter baumannii32,33, CTX-M enzymes from Kluyvera spp.17, and more with variable levels of evidence. This further supports the hypothesis that these recent origin species can thrive in habitats repeatedly exposed to strong antibiotic selection pressure by different classes of antibiotics, such as the human/domesticated animal microbiome. A limitation for making broader generalizations is that most of the origins described here relate to genes that confer resistance to β-lactams. Thus, the patterns described here may or may not reflect genes providing resistance to other antibiotic classes, where no origin is known, to the best of our knowledge (e.g., tetracyclines or macrolides). Thus, identifying their origin using this set of criteria may not be possible. Importantly, the NCBI Assembly database is biased towards proteobacteria—it is entirely possible that in the future, as the diversity of available genomes increases, non-proteobacterial, non-infection-associated recent origins of ARGs are identified. Indeed, there is some evidence for the dissemination of clinically relevant ARGs from Actinobacteria to Proteobacteria34. However, to date reported sequence similarities between non-mobile actinobacterial genes and proteobacterial ARGs are too low (<70% amino acid identity) to draw any conclusion about Actinobacteria as recent origins of these genes—possibly due to lack of the relevant actinobacterial genomes.

Fig. 5: Multiple mobilization events of an ARG may result in association with different mobile contexts.
figure 5

Multiple contexts for ARGs of the same family as a consequence of multiple independent mobilization events on the example of blaPER ESBLs, mobilized from Pararheinheimera spp. Elliptic shapes (grossly) represent the areas from which different blaPER variants have been reported. Although blaPER-2 and blaPER-1 are both associated with ISPa12, the blaPER loci (including blaPER and co-mobilized genes) on the depicted MGEs are about 20% dissimilar in nucleotide identities. blaPER-6 is 13% dissimilar to blaPER-2 and about 20% dissimilar to blaPER-1. Transposable elements are presented with dotted pattern and blaPER genes with striped pattern.

There are several factors that have to come together for the successful emergence of a mobilizable ARG: in addition to sufficiently strong antibiotic selection pressure, MGEs with the potential to mobilize genes, such as IS/ISCR, also have to be present, as well as compatible recipients for the newly mobilized ARG. The simplest setting where all of these factors come together is the human/animal body during antibiotic treatment. The human/animal microbiome likely already contains many IS/ISCR elements that have been suspected to be involved in ARG mobilization35,36 and the constituents of these microbiomes engage intensively in horizontal gene transfer37,38, especially under stress. Some of the species reported to be recent origins of ARGs are members of the human microbiome, such as Enterobacter, Klebsiella, Citrobacter, or Acinetobacter39. Others are opportunistic pathogens that are known to at least pass the human/animal body, sometimes causing infection and thus directly triggering antibiotic use, such as Aeromonas spp. Other genera, such as Rheinheimera and Pararheineheimera have not yet been reported to be part of the human/domestic animal microbiome or to be involved in disease. However, as both genera can be found in water (both fresh and saline), it is still possible that these bacteria may pass the human/animal body through ingestion of contaminated water. Although it is certainly possible for a novel ARG to be mobilized in the external environment and be transferred to human pathogens later, this scenario involves more steps and may therefore be less likely, especially if strong antibiotic selection pressure is required for the emergence process. Capture of ARGs from bacteria that are temporarily passing through the body might be possible, given that we know the recent origins of only a small percentage of all known ARGs. We mostly know these origins, because many of the species have at least some clinical relevance and our efforts to characterize (and in the last decade, sequence) have been biased heavily towards bacteria frequently causing disease. Possibly, the great majority of ARG origins is unknown, because they are not permanently associated with the human/animal body, rarely or never cause disease and have therefore not been investigated extensively (or are completely unknown to science yet). The ResFinder database contains 3095 unique ARGs up to date (September 2019), corresponding to 696 gene clusters when clustered at 90% nucleotide similarity. Based on this and the origins described here, we currently know the origin of only about 4% of described acquired resistance genes. For some classes of ARGs, such as tetracyclines or macrolides, no species origin is known at all, despite tetracyclines being one of the most extensively used antibiotics in, e.g., agriculture40. This suggests that many ARG origins thrive in other environments, such as water, soil, or associated with plants, underlining that the natural environment may act as a source of novel resistance determinants41,42 (as supported by, e.g., functional metagenomics studies identifying many novel ARGs from soil, see Forsberg et al.43). Such environmental species may pass through the body from time to time by exposure to contaminated matter, where their genome, especially under antibiotic selection pressure, may be infiltrated by MGEs from the hosts microbiome, such as plasmids, IS/ISCRs, transposons, or integrons. However, even for described origin genera/species such as Kluyvera spp, Pararheinheimera spp, and Aeromonas spp, knowledge on where exactly these bacteria thrive is lacking and further research is needed on the topic. Another explanation for the lack of origin species for some classes of ARGs may be that they have been mobilized a long time ago, so their origin has evolved and cannot be identified anymore. Verifying this hypothesis, however, requires more genomic data than available to date, especially from bacteria not associated with the human or domestic animal microbiome.

The accumulation of ARGs in human-associated bacteria may also have implications for the emergence of novel ARGs in human pathogens. As many of the ARGs are associated with IS/ISCR elements, the number of these MGEs at selection sites, e.g., the human/animal body, also increases. This may result in an increased potential of the respective microbiome to capture rare genes (e.g., from bacteria that are only temporarily associated with those microbiomes), which can help to respond to local selection pressures, using highly effective capturing machineries, such as ISCR1, IS26, or ISEcp1. This is especially true for IS26, as it has been shown that IS26 and co-mobilized sequences target sites associated with other IS26 for integration44, or ISCR1, which couples newly mobilized ARGs with class I integrons. Thus, increased acquisition of resistance genes in a microbial community may also increase the potential to capture novel ARGs.

Antibiotic selection pressure is likely a key factor during ARG mobilization in many cases. The high nucleotide identities of ARG loci towards the chromosomal loci of their origins, as summarized in this study, suggest that all here described mobilization events have happened relatively recently, quite plausibly during the antibiotic era and driven by human-imposed antibiotic selection pressure45,46. In most cases, up- or downstream sequences from the ARGs original context have been co-mobilized with the ARG and they are highly identical in nucleotide sequence to their chromosomal counterparts, but we observe that these co-mobilized sequences are often truncated and thus likely non-functional. If the mobilization of these ARG loci to MGEs were ancient events, higher sequence dissimilarity to their non-mobile counterparts would be expected, if they were preserved at all. Although it has been hypothesized that some ARGs have been on plasmids for millions of years46 and evolved there, thus potentially lacking a recent origin, the data presented here strongly support that at least some ARGs have a recent chromosomal origin. However, this does not exclude the possibility that these genes have been plasmid-borne at some previous time point during their evolution (see Fig. 2).

Our association analysis indicates that, of the mobile resistance genes found in all to data available genomic assemblies, about four times as many ARG families (at 80% sequence similarity) are associated with transposases, IS, or ISCR compared to ARG families that are integron-borne gene cassettes. Although the estimate on transposon/IS/ISCR association is somewhat gross, this finding still underlines that transposable elements including ISs may be the main disseminating agents of mobile ARGs between different replicons. The summarized literature on ARG origins (Supplementary Note 1, Supplementary References) provides insights as to why it may be like that and it is also as discussed below.

It has been shown that several ARGs do not confer clinical level resistance in their native context. This renders some of the above described origin species susceptible to the respective antibiotic21,22,47,48, even though they encode a potential resistance gene on their chromosome. Only after increased expression of the respective gene or a transfer of the potential ARG to a multi copy vector, which effectively increases gene dosage, does the gene induce a clinically relevant resistance phenotype. As described in detail in Supplementary Note 1, most of the ARGs with known origins were likely mobilized from their native context by IS or ISCR elements. The ability of those types of MGEs to transpose not only themselves but also adjacent DNA sequences, upon transposition via different mechanisms, has been demonstrated for different types of IS. Especially ISCR1, ISEcp1, and IS26 are associated with different ARGs and large parts of their native context in clinical isolates8,28,49. Although it has not been experimentally validated to date, that ISCR1 moves and mobilizes adjacent genes, its frequent association with different ARGs and parts of their native context provides evidence for this hypothesis. As with ISCR1, many other IS/ISCR are also known to increase the expression of adjacent genes through providing a promoter sequence, the creation of hybrid promoters upon insertion or the disruption of regulatory genes at the target site4,50. IS/ISCR induced high expression of a native ARG may provide the host with increased resistance to the respective antibiotic selection pressure2,3 (e.g., during antibiotic treatment), such that the combination of IS/ISCR and ARG is selected for under these circumstances51. The genetic context of mobilized ARGs support this notion, as we observe that in many cases the ARG is located directly adjacent of the IS/ISCR and thus in reach of the respective promoters. Thus, selection leads to a frequency increase of this gene combination in the local origin population, increasing the likelihood that it will be mobilized to a transferrable MGE, such as a conjugative transposon or plasmid.

In this study, we summarize, scrutinize, and supplement the current knowledge on the origins of mobile ARGs. The here defined set of criteria enables the identification of ARG origin species with high confidence. All origins identified up to date are Proteobacteria and the great majority have been associated with infection in humans or domestic animals, hence triggering antibiotic use. Most ARG families for which an origin has been identified consist of several variants. In many cases, these are likely the product of multiple, independent mobilization events, as they are associated with different remnants of their native contexts or different mobilizing agents, such as IS or ISCR elements. The most likely environment in which these genes have emerged is the human/animal body subjected to antibiotic treatment, as it fulfills all criteria needed for ARG emergence, especially the one of strong antibiotic selection pressure during the entire process. That said, it is certainly possible that other ARGs have emerged from other environments, via different routes, as most ARG origins are still unknown. Further research is thus needed to show to what extent different environments and conditions contribute to ARG emergence. This includes increased whole-genome sequencing efforts of many more bacterial taxa. As genes whose native function may not primarily be associated with antibiotic resistance can become ARGs under the right conditions, the bacterial pan-genome very likely contains an enormous number of ARGs that have not (yet) been observed in the clinics. Exploring the origins of ARGs further can provide us with important insights as to where our mitigation efforts may be most effective, to slow down the emergence of novel ARGs in the clinics.


Literature research

A thorough literature research was conducted using the PubMed database (using the key words “origin,” “antibiotic,” and “resistance gene”). Hits were screened (by title and abstract) to identify articles claiming to have identified the origins of ARGs on at least genus level and references of identified articles were used to identify further articles of the same type. The evidence presented for the respective origin of an ARG was summarized (see Supplementary Note 1) and a set of criteria for identifying the origin of an ARG with high confidence was assembled (see Results).

Furthermore, for every ARG that had a reported origin, we described how the putative origin was identified, which MGEs, the respective ARG, has been found to be associated with. For validated origin taxa, we also briefly described known habitats of the respective origin genus/species and whether it has been reported in infection in humans or domestic animals (Supplementary Table 1).

Evaluating the criteria: comparative genomics analysis

An in-house pipeline was used to supplement the analysis in the original study with available genomic data, if available. Based on the original data and our comparative genomics analysis, we then evaluate if or to what extent the original report has fulfilled the five criteria for assigning an origin. The pipeline was written in python 3.7 and is described in the following paragraphs.

Available assemblies of bacterial genomes and plasmids were downloaded from the NCBI Assembly database52 (April 2020). To create a well-annotated ARG reference database containing only acquired ARGs, sequences from CARDs53 protein homolog model (v3.0.5, downloaded September 2019, recently characterized ARGs LMB-1, FosA8, FosL, and GPC-1 were manually added) was mapped against the Resfinder database54 (downloaded September 2019) using DIAMOND at a 99% identity threshold and a 90% query coverage cutoff. Using the resulting database, all genomes and plasmids were searched for the ARGs using DIAMOND blastx v0.9.24.125 with a 70% identity cutoff and an 80% query coverage cutoff. This relaxed cutoff was used to also identify potentially related genes in other taxa. For those genes for which an origin was reported, up to 10 kbp (if available) were extracted upstream and downstream of each thus identified ARG and annotated using Prodigal v2.6.355. To identify potential functions of open reading frames (ORFs) in the identified ARGs genetic environment, identified ORFs were also searched against the Uniprot knowledge base (downloaded January 2019, hypothetical proteins were removed) using DIAMOND with a 60% identity cutoff. To reduce the number of uninformative sequences (with regards to mobility/non-mobility) for further analysis, sequences containing fewer than 6 predicted ORFs were excluded. Genes close to identified ARGs that were annotated as transposases or IS were manually searched against the ISFinder database to confirm their identity towards known IS elements. IntegronFinder v256 was used to predict integrons or integron associated elements, such as attC sites, on the artificial ARG contigs. To obtain an overall estimate of the proportion of ARGs that are either gene cassettes (present in integron classes I–III) or mobile through IS/ISCR or other transposons (although the estimate is much more gross for this group than for gene cassettes), genes were placed in one of the groups using the following criteria: ARGs were counted as gene cassettes if they were positioned within the boundaries of a predicted complete intergron, had an attC site encoded within at maxiumum 200 bp (accounting for an attC site length of 55–141 nt and a spacer length of maximum 145 bp between gene cassette and attC site) downstream of the predicted ORF, and were oriented in the opposite direction of the integrase encoding gene. If the ARG was positioned in an incomplete integron (CALIN), an attC site both upstream and downstream (at maximum 200 bp distance within either side of the ORF) of the ARG were required to count it as gene cassette. An ARG was counted as associated with a transposase if the next ORF upstream or downstream of the gene was an IS/ISCR or other transposition element and the gene had not previously been classified as a gene cassette.

To reduce the number of sequences to visualize, duplicates were removed. The remaining extracted sequences were then clustered at a 95% nucleotide identity threshold using USEARCH v8.0.144557. The resulting centroids were aligned using MAFFT v7.31058 and a phylogenetic tree was created using FastTree v2.1.959 (gtr model, default CAT approximation). The Python ete3 package was used to schematically visualize each sequence associated with a node in the previously created phylogeny, allowing for careful visual comparison of the genomic contexts of each gene. Nucleotide or amino acid comparisons between different sequences were conducted using NCBIs online available blast suite.

Overrepresentation analysis

To investigate whether bacterial species with the potential to colonize humans or domestic animals were overrepresented among species that are recent origins of ARGs, we used Fisher’s exact test. As the set of origin species identified down to species level contained only proteobacterial species (n = 22, each species only counted once even if it is the origin of several ARGs), we randomly selected 100 proteobacterial species (excluding origin species) from the NCBI Assembly database. Taxonomy information was downloaded from the NCBI Taxonomy database. A literature search was then performed for all 122 species names against PubMed and Google Scholar, once on its own and again in combination with the term “infect.” Hits were screened for information on whether there were reports of isolation of the species from infection sites in humans or domesticated animals (see Supplementary Table 1). A contingency table summarizing the counts was created and analyzed using Fisher’s exact test from Pythons scipy library.

Reporting summary

Further information on research design is available in the Nature Research Reporting Summary linked to this article.

Data availability

All genomes used in this study are publicly available at The synteny figures used as a first visualization of ARG loci in different genomes are available at

Code availability

The code used in this manuscript is available at


  1. Siguier, P., Gourbeyre, E. & Chandler, M. Bacterial insertion sequences: their genomic impact and diversity. FEMS Microbiol. Rev. 38, 865–891 (2014).

    CAS  PubMed  Article  Google Scholar 

  2. Poirel, L., Decousser, J.-W. & Nordmann, P. Insertion sequence ISEcp1B is involved in expression and mobilization of a blaCTX-M β-lactamase gene. Antimicrob. Agents Chemother. 47, 2938–2945 (2003).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  3. Lallement, C., Pasternak, C., Ploy, M.-C. & Jové, T. The role of ISCR1-borne POUT promoters in the expression of antibiotic resistance genes. Front. Microbiol. 9, 2579 (2018).

    PubMed  PubMed Central  Article  Google Scholar 

  4. Toleman, M. A., Bennett, P. M. & Walsh, T. R. ISCR elements: novel gene-capturing systems of the 21st century? Microbiol. Mol. Biol. Rev. 70, 296–316 (2006).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  5. Chen, Y.-T. et al. Mobilization of qnrB2 and ISCR1 in plasmids. Antimicrob. Agents Chemother. 53, 1235–1237 (2009).

    CAS  PubMed  Article  Google Scholar 

  6. Fang, L.-X. et al. ISEcp1-mediated transposition of chromosome-borne blaCMY-2 into an endogenous ColE1-like plasmid in Escherichia coli. Infect. Drug Resist. 11, 995–1005 (2018).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  7. Cattoir, V., Nordmann, P., Silva-Sanchez, J., Espinal, P. & Poirel, L. ISEcp1-mediated transposition of qnrB-like gene in Escherichia coli. Antimicrob. Agents Chemother. 52, 2929–2932 (2008).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  8. Ebmeyer, S., Kristiansson, E. & Larsson, D. G. J. PER extended-spectrum β-lactamases originate from Pararheinheimera spp. Int. J. Antimicrob. Agents (2018).

  9. Sundqvist, M. Reversibility of antibiotic resistance. Ups. J. Med. Sci. 119, 142–148 (2014).

    PubMed  PubMed Central  Article  Google Scholar 

  10. Andersson, D. I. & Hughes, D. Antibiotic resistance and its cost: is it possible to reverse resistance? Nat. Rev. Microbiol. 8, 260 (2010).

    CAS  PubMed  Article  Google Scholar 

  11. Aminov, R. I. A brief history of the antibiotic era: lessons learned and challenges for the future. Front. Microbiol. 1, 134 (2010).

    PubMed  PubMed Central  Article  Google Scholar 

  12. Lupo, A., Coyne, S. & Berendonk, T. U. Origin and evolution of antibiotic resistance: the common mechanisms of emergence and spread in water bodies. Front. Microbiol. 3, 18 (2012).

    PubMed  PubMed Central  Article  Google Scholar 

  13. Berglund, F. et al. Identification of 76 novel B1 metallo-β-lactamases through large-scale screening of genomic and metagenomic data. Microbiome 5, 134 (2017).

    PubMed  PubMed Central  Article  Google Scholar 

  14. Bengtsson-Palme, J., Kristiansson, E. & Larsson, D. G. J. Environmental factors influencing the development and spread of antibiotic resistance. FEMS Microbiol. Rev. 42, fux053 (2018).

  15. Jacoby, G. A. AmpC beta-lactamases. Clin. Microbiol. Rev. 22, 161–182 (2009). Table of Contents.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  16. Philippon, A., Arlet, G. & Jacoby, G. A. Plasmid-determined AmpC-type beta-lactamases. Antimicrob. Agents Chemother. 46, 1–11 (2002).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  17. Cantón, R., González-Alba, J. M. & Galán, J. C. CTX-M enzymes: origin and diffusion. Front. Microbiol. 3, 110 (2012).

    PubMed  PubMed Central  Article  Google Scholar 

  18. D’Costa, V. M. et al. Antibiotic resistance is ancient. Nature 477, 457–461 (2011).

    PubMed  Article  CAS  Google Scholar 

  19. Jacoby, G. A., Griffin, C. M. & Hooper, D. C. Citrobacter spp. as a source of qnrB Alleles. Antimicrob. Agents Chemother. 55, 4979–4984 (2011).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  20. Albornoz, E. et al. qnrE1, a member of a new family of plasmid-located quinolone resistance genes, originated from the chromosome of enterobacter species. Antimicrob. Agents Chemother. 61, e02555–16 (2017).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  21. Yoon, E.-J. et al. Origin in Acinetobacter guillouiae and dissemination of the aminoglycoside-modifying enzyme Aph(3’)-VI. MBio 5, e01972–14 (2014).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  22. Poirel, L., Figueiredo, S., Cattoir, V., Carattoli, A. & Nordmann, P. Acinetobacter radioresistens as a silent source of carbapenem resistance for Acinetobacter spp. Antimicrob. Agents Chemother. 52, 1252–1256 (2008).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  23. Ford, P. J. & Avison, M. B. Evolutionary mapping of the SHV -lactamase and evidence for two separate IS26-dependent blaSHV mobilization events from the Klebsiella pneumoniae chromosome. J. Antimicrob. Chemother. 54, 69–75 (2004).

    CAS  PubMed  Article  Google Scholar 

  24. Kim, H. Bin et al. oqxAB encoding a multidrug efflux pump in human clinical isolates of Enterobacteriaceae. Antimicrob. Agents Chemother. 53, 3582–3584 (2009).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  25. Poirel, L., Kämpfer, P. & Nordmann, P. Chromosome-encoded Ambler class A beta-lactamase of Kluyvera georgiana, a probable progenitor of a subgroup of CTX-M extended-spectrum beta-lactamases. Antimicrob. Agents Chemother. 46, 4038–4040 (2002).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  26. Rodriguez, M. M., Ghiglione, B., Power, P., Naas, T. & Gutkind, G. Proposing Kluyvera georgiana as the origin of the plasmid-mediated resistance gene fosA4. Antimicrob. Agents Chemother. 62, e00710–e00718 (2018).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  27. Wu, S. W., Dornbusch, K., Kronvall, G. & Norgren, M. Characterization and nucleotide sequence of a Klebsiella oxytoca cryptic plasmid encoding a CMY-type beta-lactamase: confirmation that the plasmid-mediated cephamycinase originated from the Citrobacter freundii AmpC beta-lactamase. Antimicrob. Agents Chemother. 43, 1350–1357 (1999).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  28. Ebmeyer, S., Kristiansson, E. & Larsson, D. G. J. CMY-1/MOX-family AmpC β-lactamases MOX-1, MOX-2 and MOX-9 were mobilized independently from three Aeromonas species. J. Antimicrob. Chemother. (2019).

  29. Girlich, D., Poirel, L. & Nordmann, P. PER-6, an extended-spectrum beta-lactamase from Aeromonas allosaccharophila. Antimicrob. Agents Chemother. 54, 1619–1622 (2010).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  30. Reisbig, M. D. & Hanson, N. D. The ACT-1 plasmid-encoded AmpC beta-lactamase is inducible: detection in a complex beta-lactamase background. J. Antimicrob. Chemother. 49, 557–560 (2002).

    CAS  PubMed  Article  Google Scholar 

  31. Conceição, T. et al. New chromosomal AmpC beta-lactamase in Enterobacter cloacae. Antimicrob. Agents Chemother. 48, 1437 (2004).

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  32. Turton, J. F. et al. Identification of Acinetobacter baumannii by detection of the blaOXA-51-like carbapenemase gene intrinsic to this species. J. Clin. Microbiol. 44, 2974–2976 (2006).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  33. Chen, T.-L. et al. Emergence and distribution of plasmids bearing the blaOXA-51-like gene with an upstream ISAba1 in carbapenem-resistant Acinetobacter baumannii isolates in Taiwan. Antimicrob. Agents Chemother. 54, 4575–4581 (2010).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  34. Jiang, X. et al. Dissemination of antibiotic resistance genes from antibiotic producers to pathogens. Nat. Commun. 8, 15784 (2017).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  35. Pehrsson, E. C. et al. Interconnected microbiomes and resistomes in low-income human habitats. Nature 533, 212–216 (2016).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  36. Razavi, M. Identification of Novel Antibiotic Resistance Genes Through the Exploration of Mobile Genetic Elements (Univ. Gothenburg, 2020).

  37. Broaders, E., Gahan, C. G. M. & Marchesi, J. R. Mobile genetic elements of the human gastrointestinal tract: potential for spread of antibiotic resistance genes. Gut Microbes 4, 271–280 (2013). vol.

    PubMed  PubMed Central  Article  Google Scholar 

  38. McInnes, R. S., McCallum, G. E., Lamberte, L. E. & van Schaik, W. Horizontal transfer of antibiotic resistance genes in the human gut microbiome. Curr. Opin. Microbiol. 53, 35–43 (2020). vol.

    CAS  PubMed  Article  Google Scholar 

  39. Morowitz, M. J. et al. Strain-resolved community genomic analysis of gut microbial colonization in a premature infant. Proc. Natl Acad. Sci. USA 108, 1128–1133 (2011).

    CAS  PubMed  Article  Google Scholar 

  40. Granados-Chinchilla, F. & Rodríguez, C. Tetracyclines in food and feedingstuffs: from regulation to analytical methods, bacterial resistance, and environmental and health implications. J. Anal. Methods Chem. 2017, 1315497 (2017).

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  41. Allen, H. K. et al. Call of the wild: antibiotic resistance genes in natural environments. Nat. Rev. Microbiol. 8, 251–259 (2010).

    CAS  PubMed  Article  Google Scholar 

  42. Kieffer, N., Ebmeyer, S. & Larsson, D. G. J. The class A carbapanemases BKC-1 and GPC-1 both originate from the bacterial genus Shinella. Antimicrob. Agents Chemother. 64, e01263-20 (2020).

  43. Forsberg, K. J. et al. Bacterial phylogeny structures soil resistomes across habitats. Nature 509, 612–616 (2014).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  44. Partridge, S. R., Kwong, S. M., Firth, N. & Jensen, S. O. Mobile genetic elements associated with antimicrobial resistance. Clin. Microbiol. Rev. 31, e00088–17 (2018).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  45. Hall, B. G. & Barlow, M. Evolution of the serine β-lactamases: past, present and future. Drug Resist. Updat. 7, 111–123 (2004).

    CAS  PubMed  Article  Google Scholar 

  46. Barlow, M. & Hall, B. G. Phylogenetic analysis shows that the OXA b-lactamase genes have been on plasmids for millions of years. J. Mol. Evol. 55, 314–321 (2002).

    CAS  PubMed  Article  Google Scholar 

  47. Poirel, L., Rodriguez-Martinez, J.-M., Mammeri, H., Liard, A. & Nordmann, P. Origin of plasmid-mediated quinolone resistance determinant QnrA. Antimicrob. Agents Chemother. 49, 3523–3525 (2005).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  48. Ito, R., Pacey, M. P., Mettus, R. T., Sluis-Cremer, N. & Doi, Y. Origin of the plasmid-mediated fosfomycin resistance gene fosA3. J. Antimicrob. Chemother. 73, 373–376 (2018).

    CAS  PubMed  Article  Google Scholar 

  49. Razavi, M., Kristiansson, E., Flach, C.-F. & Larsson, D. G. J. The association between insertion sequences and antibiotic resistance genes. mSphere 5 (2020).

  50. Vandecraen, J., Chandler, M., Aertsen, A. & Van Houdt, R. The impact of insertion sequences on bacterial genome plasticity and adaptability. Crit. Rev. Microbiol. 43, 709–730 (2017).

    CAS  PubMed  Article  Google Scholar 

  51. Lartigue, M.-F., Poirel, L., Aubert, D. & Nordmann, P. In vitro analysis of ISEcp1B-mediated mobilization of naturally occurring beta-lactamase gene blaCTX-M of Kluyvera ascorbata. Antimicrob. Agents Chemother. 50, 1282–1286 (2006).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  52. Kitts, P. A. et al. Assembly: a resource for assembled genomes at NCBI. Nucleic Acids Res. 44, D73–D80 (2016).

    CAS  PubMed  Article  Google Scholar 

  53. Jia, B. et al. CARD 2017: expansion and model-centric curation of the comprehensive antibiotic resistance database. Nucleic Acids Res. 45, D566–D573 (2017).

    CAS  PubMed  Article  Google Scholar 

  54. Zankari, E. et al. Identification of acquired antimicrobial resistance genes. J. Antimicrob. Chemother. 67, 2640 (2012).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  55. Hyatt, D. et al. Prodigal: prokaryotic gene recognition and translation initiation site identification. BMC Bioinformatics 11, 119 (2010).

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  56. Cury, J., JovéJov, T., Touchon, M. & Rocha, E. P. Identification and analysis of integrons and cassette arrays in bacterial genomes. Nucleic Acids Res. 44, 4539–4550 (2016).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  57. Edgar, R. C. Search and clustering orders of magnitude faster than BLAST. Bioinformatics 26, 2460–2461 (2010).

    CAS  PubMed  Article  Google Scholar 

  58. Katoh, K., Misawa, K., Kuma, K. & Miyata, T. MAFFT: a novel method for rapid multiple sequence alignment based on fast Fourier transform. Nucleic Acids Res. 30, 3059–3066 (2002).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  59. Price, M. N., Dehal, P. S. & Arkin, A. P. FastTree: computing large minimum evolution trees with profiles instead of a distance matrix. Mol. Biol. Evol. 26, 1641–1650 (2009).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  60. Yoon, E.-J. et al. Origin in Acinetobacter gyllenbergii and dissemination of aminoglycoside-modifying enzyme AAC(6′)-Ih. J. Antimicrob. Chemother. 71, 601–606 (2016).

    CAS  PubMed  Article  Google Scholar 

  61. Fosse, T., Giraud-Morin, C., Madinier, I. & Labia, R. Sequence analysis and biochemical characterisation of chromosomal CAV-1 (Aeromonas caviae), the parental cephalosporinase of plasmid-mediated AmpC ‘FOX’ cluster. FEMS Microbiol. Lett. 222, 93–98 (2003).

    CAS  PubMed  Article  Google Scholar 

  62. Ebmeyer, S., Kristiansson, E. & Larsson, D. G. J. The mobile FOX AmpC beta-lactamases originated in Aeromonas allosaccharophila. Int. J. Antimicrob. Agents (2019).

  63. Barnaud, G. et al. Salmonella enteritidis: AmpC plasmid-mediated inducible beta-lactamase (DHA-1) with an ampR gene from Morganella morganii. Antimicrob. Agents Chemother. 42, 2352–2358 (1998).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  64. Rottman, M. et al. Chromosomal ampC genes in Enterobacter species other than Enterobacter cloacae, and ancestral association of the ACT-1 plasmid-encoded cephalosporinase to Enterobacter asburiae. FEMS Microbiol. Lett. 210, 87–92 (2002).

    CAS  PubMed  Article  Google Scholar 

  65. Nadjar, D. et al. Outbreak of Klebsiella pneumoniae producing transferable AmpC-type beta-lactamase (ACC-1) originating from Hafnia alvei. FEMS Microbiol. Lett. 187, 35–40 (2000).

    CAS  PubMed  Google Scholar 

  66. Potron, A., Poirel, L. & Nordmann, P. Origin of OXA-181, an emerging carbapenem-hydrolyzing oxacillinase, as a chromosomal gene in Shewanella xiamenensis. Antimicrob. Agents Chemother. 55, 4405–4407 (2011).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  67. Rodríguez, M. M., Power, P., Sader, H., Galleni, M. & Gutkind, G. Novel chromosome-encoded CTX-M-78 beta-lactamase from a Kluyvera georgiana clinical isolate as a putative origin of CTX-M-25 subgroup. Antimicrob. Agents Chemother. 54, 3070–3071 (2010).

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  68. Humeniuk, C. et al. Beta-lactamases of Kluyvera ascorbata, probable progenitors of some plasmid-encoded CTX-M types. Antimicrob. Agents Chemother. 46, 3045–3049 (2002).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  69. Rodríguez, M. M. et al. Chromosome-Encoded CTX-M-3 from Kluyvera ascorbata: a Possible Origin of Plasmid-Borne CTX-M-1-Derived Cefotaximases. Antimicrob. Agents Chemother. 48, 4895 (2004).

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  70. Lange, F. et al. LMB-1, a novel family of class B3 MBLs from an isolate of Enterobacter cloacae. J. Antimicrob. Chemother. 73, 2331–2335 (2018).

    CAS  PubMed  Article  Google Scholar 

  71. Gudeta, D. D. et al. Chromobacterium spp. harbour Ambler class A β-lactamases showing high identity with KPC. J. Antimicrob. Chemother. 71, 1493–1496 (2016).

    CAS  PubMed  Article  Google Scholar 

  72. Poirel, L. et al. MCR-2-mediated plasmid-borne polymyxin resistance most likely originates from Moraxella pluranimalium. J. Antimicrob. Chemother 72, 2947–2949 (2017).

    CAS  PubMed  Article  Google Scholar 

  73. Kieffer, N., Nordmann, P. & Poirel, L. Moraxella Species as Potential Sources of MCR-Like Polymyxin Resistance Determinants. Antimicrob. Agents Chemother. 61, AAC.00129–17 (2017).

    Article  Google Scholar 

  74. Zhang, H. et al. Action and mechanism of the colistin resistance enzyme MCR-4. Commun. Biol. 2, 36 (2019).

    Google Scholar 

  75. Yin, W. et al. Novel Plasmid-Mediated Colistin Resistance Gene mcr-3 in Escherichia coli. mBio 8 (2017).

  76. Shen, Y. et al. Prevalence and Genetic Analysis of mcr-3-Positive Aeromonas Species from Humans, Retail Meat, and Environmental Water Samples. Antimicrob. Agents Chemother. 62, e00404–e00418 (2018).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  77. Khedher, M. B. et al. Massive analysis of 64,628 bacterial genomes to decipher water reservoir and origin of mobile colistin resistance genes: is there another role for these enzymes?. Scientific Reports 10, 5970 (2020).

  78. Kieffer, N. et al. mcr-9, an Inducible Gene Encoding an Acquired Phosphoethanolamine Transferase in Escherichia coli, and Its Origin. Antimicrob Agents Chemother. 63, e00965–1 (2019).

  79. Ribeiro, T. G. et al. Phylogeny and Comparative Genomics Unveil Independent Diversification Trajectories of qnrB and Genetic Platforms within Particular Citrobacter Species. Antimicrob. Agents Chemother. 59, 5951–5958 (2015).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  80. Cattoir, V. et al. Vibrio splendidus as the Source of Plasmid-Mediated QnrS-Like Quinolone Resistance Determinants. Antimicrob Agents Chemother. 51, 2650–2651 (2007).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  81. Ito, R. et al. Widespread Fosfomycin Resistance in Gram-Negative Bacteria Attributable to the Chromosomal fosA Gene. mBio 8, e00749–17 (2017)

  82. Ma, Y. et al. Characterization of, a new plasmid-mediated fosfomycin resistance gene in Escherichia coli. Lett. Appl. Microbiol. 60, 259–264 (2015).

    PubMed  Article  CAS  Google Scholar 

  83. Poirel, L. et al. Identification of FosA8, a Plasmid-Encoded Fosfomycin Resistance Determinant from Escherichia coli, and Its Origin in Leclercia adecarboxylata. Antimicrob Agents Chemother. 63, e01403–19 (2019).

  84. Ghosh, S. et al. Sphingobacterium sp. strain PM2-P1-29 harbours a functional tet (X) gene encoding for the degradation of tetracycline. J. Appl. Microbiol 106, 1336–1342 (2009).

    CAS  PubMed  Article  Google Scholar 

Download references


Open Access funding provided by Gothenburg University Library.

Author information

Authors and Affiliations



S.E. was responsible for conception and design of the work, data collection, data analysis, and interpretation and drafting the article. E.K. was responsible for conception and design of the work and critical revision of the article. D.G.J.L. was responsible for conception and design of the work, critical revision of the article, and main supervision.

Corresponding author

Correspondence to D. G. Joakim Larsson.

Ethics declarations

Competing interests

The authors declare no competing interests

Additional information

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Ebmeyer, S., Kristiansson, E. & Larsson, D.G.J. A framework for identifying the recent origins of mobile antibiotic resistance genes. Commun Biol 4, 8 (2021).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI:

Further reading


By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.


Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing