Horizontal gene transfer (HGT) plays a major role in bacterial microevolution as evident from the rapid emergence and spread of antimicrobial drug resistance. Few studies have however addressed the population dynamics of newly imported genetic elements after HGT. Here, we show that newly acquired class-1 integrons from Salmonella enterica serovar Typhimurium and Acinetobacter baumannii, free of associated transposable elements, strongly reduce host fitness in Acinetobacter baylyi. Insertional inactivation of the integron intI1 restored fitness, demonstrating that the observed fitness costs were due to the presence of an active integrase. The biological cost of harboring class-1 integrons was rapidly reduced during serial transfers due to intI1 frameshift mutations leading to inactivated integrases. We use a mathematical model to explore the conditions where integrons with functional integrases are maintained and conclude that environmental fluctuations and episodic selection is necessary for the maintenance of functional integrases. Taken together, the presented data suggest a trade-off between the ability to capture gene cassettes and long-term stability of integrons and provide an explanation for the frequent observation of inactive integron-integrases in bacterial populations.
Horizontal acquisition of mobile and mobilizable genetic elements plays a major role in the development of antimicrobial drug resistance in bacteria. Despite their causal role in drug treatment failure, there is only limited understanding of how horizontal acquisitions of these elements affect bacterial fitness. A prominent group of such genetic elements are the integrons. These genetic elements harbor an integrase-gene that allows the integron to respond to environmental changes by capture and excision of gene cassettes. Here, we have experimentally determined if horizontal acquisition of an integron affect host fitness. The data demonstrate that the initial costs are substantial. However, inactivation of the integrase gene occurred rapidly by spontaneous mutation alleviating the detrimental effect of the integron on bacterial fitness. The same fitness restoring effects was also shown by targeted inactivation of the integrase gene. The inactivation results in a negative trade-off between host adaptation and loss of the ability to capture new gene cassettes. Importantly, our results explain the frequent observation of inactive integrase genes in integrons found in bacteria of different origins. Finally, we use mathematical modeling to determine the conditions necessary for maintaining functional integrases.
Citation: Starikova I, Harms K, Haugen P, Lunde TTM, Primicerio R, Samuelsen Ø, et al. (2012) A Trade-off between the Fitness Cost of Functional Integrases and Long-term Stability of Integrons. PLoS Pathog 8(11): e1003043. doi:10.1371/journal.ppat.1003043
Editor: Xavier Didelot, University of Oxford, United Kingdom
Received: July 2, 2012; Accepted: October 5, 2012; Published: November 29, 2012
Copyright: © 2012 Starikova et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Funding: This project was funded by the University of Tromsø and grants from the Norwegian Research Council 204263 and Tromsø Forskningsstiftelse awarded PJJ. ØS was supported by a grant from the Northern Norway Regional Health Authority. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
Horizontal gene transfer (HGT) enables bacteria to obtain alien genes and genetic elements from prokaryotic, archaeal, and eukaryotic organisms. This capacity for genetic exchange plays an important role in bacterial adaptive evolution, as exemplified by the rapid spread of antibiotic resistance determinants by HGT , . Most often, the fitness effects of novel genes in new hosts are selectively neutral or detrimental , and prolonged persistence in the population requires compensatory evolution or associated linked selection , , , . Antibiotic resistance determinants are frequently associated with mobile and mobilizable genetic elements, and they tend to reduce host fitness when newly acquired as part of mobile DNA , , , . The magnitude of these fitness costs as well as the mode and speed of compensatory evolution are key parameters determining the frequency of resistance in bacterial populations following relaxed antibiotic selection (i.e. following interventions on drug prescription levels) . From the perspective of horizontal dissemination of antibiotic resistance determinants, population dynamic studies are important to increase our insight on the evolution and reversibility of resistance , . Several studies have described compensatory evolution and host adaptation to self-replicating plasmids [for a selection see , , , ]. However, only few studies have considered how bacteria adapt to the presence of chromosomally transferred genes and genetic elements. These studies have been limited to chromosomal allelic replacements , , transposons ,  and a report on conjugative transposons .
Integrons are a class of genetic elements frequently involved in antimicrobial resistance dissemination where population dynamic studies are currently absent. These genetic elements have the ability to capture and excise functional gene cassettes involved in host adaptation, often including antibiotic resistance traits . Typically, an integron consists of an integrase gene (intI) encoding a site-specific recombinase responsible for the recruitment and excision of gene cassettes and a promoter (PC) for the expression of captured gene cassettes. Integrases capture gene cassettes through recombination between attI (located downstream of PC) and the gene cassette-borne recombination site attC present in a circular gene cassette. Inverse correlations exist between gene-cassette promoter (PC) strength and integrase activity ,  as well as expression levels . Based on sequence similarity of the intI gene, five classes of “mobile integrons” have been described, for a review see .
Class-1 integrons are prevalent in Gram-negative clinical isolates, and harbor gene cassettes encoding resistance to the majority of clinically relevant antibiotics such as aminoglycosides, trimethoprim, and broad-spectrum β-lactams , . Structurally, class-1 integrons are relatively diverse, but they generally consist of a 5′-conserved segment (5′-CS) including intI1, attI1, the variable regions where the gene cassettes are embedded, and a 3′-CS that includes a truncated qacE1 and sul1 . Class-1 integrons are frequently linked to complete and incomplete transposons such as Tn402 , and Tn21-like structures . Due to the often incomplete nature of the transposable elements linked to clinical class-1 integrons these structures are generally thought to be defective in terms of transposition, and for these elements to move, transposition functions need to be provided in trans. However, in clinical isolates, these integron-containing transposons are frequently located on plasmids and thus can easily spread horizontally , .
Integrons can be important factors for horizontal dissemination of novel and adaptive traits among bacteria because they facilitate “sampling” of the environmental gene-cassette-pool , . Moreover the ability to acquire novel cassettes, or shuffle the existing ones, has shown to be increased as a response to stress . Integrons with non-functional integrases are however prevalent in bacterial populations , , suggesting that the ability to acquire gene cassettes does not necessarily provide a frequent selective advantage. Thus, whereas it is clear that selection for integron-encoded traits such as antibiotic resistance determine the frequency of class-1 integrons in bacterial populations, the selection for functional integrases remains unclear.
Here we show that horizontally transferred class-1 integrons from Salmonella enterica serovar Typhimurium and Acinetobacter baumannii, free of associated transposable elements, strongly reduce host fitness in Acinetobacter baylyi. We demonstrate that these fitness costs are due to an active integrase IntI1. These fitness costs were reduced during serial transfer experiments through mutational inactivation of the integrase gene, suggesting a trade-off between maintaining a functional integrase and stability of integrons in the population over time. Our results provide a rationale for why inactivated integron-integrases are frequently observed in clinical and environmental bacterial isolates. We use a mathematical model to explore the population dynamics of integrons with functional and non-functional integrases in competition with integron-free bacterial populations. We conclude that selection for pre-existing gene-cassettes acts synergistically with the ability to capture new ones [episodic selection ] in fluctuating environments.
Newly acquired class 1 integrons of reduce fitness in A. baylyi
The model organism A. baylyi ADP1 is a close relative to the nosocomial pathogen A. baumannii and is free of integrons . We constructed a set of A. baylyi strains containing cloned diverse class-1 integrons from isolates of two A. baumannii (clinical isolates) and one S. enterica serovar Typhimurium (isolated from pork). These strains allowed the investigation of the effects of newly acquired integrons on host fitness. The three integrons were inserted in an identical chromosomal locus (ACIAD3309) .
Mixed culture competition experiments revealed that newly acquired class-1 integrons from A. baumannii (IVS1 and IVS3) and S. enterica serovar Typhimurium (IVS2) resulted in a statistically significant reduced relative fitness (w) of 0.93 (p = 0.01**), 0.92 (p = 0.02**), and 0.89 (p<0.01**), respectively. The relative fitness of the ancestor was by default set to 1.0. The neutrality of the insertion locus (ACIAD3309) was confirmed using a pair of A. baylyi ADP1 strains that were isogenic except from the insertion of a selective/counter-selective marker pair in strain IVS4 (A. baylyi ADP1 ACIAD3309::nptII sacB) (relative fitness w = 1.01, not significantly different from 1.0 (p = 0.2)). The results are summarized in Figure 1. To verify that the relative fitness measurements were not hampered by the choice of selective antibiotic resistance markers all fitness measurements presented in this study were repeated with strain IVS4 as an integron-free competitor. The results from these experiments using sucrose (sacB) counter-selection were always congruent with kanamycin, spectinomycin, and spectinomycin/ampicillin selective platings, and the results from all parallel competition experiments were pooled before statistical analyzes.
The integron free A. baylyi ADP1 was competed against integron-containing strains with functional or non-functional integrases. Except from the inserted DNA sequences (integrons or nptII sacB) in the selectively neutral ACIAD3309 locus, the strains were isogenic. Results were obtained from at least two independent experiments, and number of parallels ranged from 12–50. Error bars indicate 95% confidence intervals. By definition, a relative fitness of 1.0 indicates no difference in relative fitness. Numbers 1–10 on x-axis describes A. baylyi ADP1 competed against: 1–3; ADP1 with newly acquired integrons, 4–6; ADP1 with newly acquired integrons insertionally inactivated, 7–9; ADP1 with evolved integrons, and 10 insertion-locus control: 1: IVS1 (w = 0.93 [0.91–0.95]; 2; IVS2 (w = 0.98 [0.97–0.99]); 3: IVS3 (w = 0.92 [0.88–0.96]); 4: IVS1 intI1::cat (w = 0.98 [0.97–0.99]); 5: IVS2 intI1::nptII sacB (w = 1.04 [1.00–1.08]); 6: IVS3 intI1::nptII sacB (w = 1.03 [1.00–1.06]); 7: IVS1EV-1 (w = 0.99[0.97–1.01]); 8: IVS1EV-2 (w = 0.98 [0.97–0.99]); 9: IVS1EV-3 (w = 0.99 [0.97–1.01]); 10: IVS4 (w = 1.01 [0.99–1.03]).
Fitness costs of class-1 integrons with strong and weak cassette promoters (PC)
The class-1 integrons inserted into A. baylyi ADP1 differed in their gene cassette promoter sequences, located in the intI1 open reading frame. Sequence alignments of the three intI1 sequences inserted into A. baylyi revealed that the integrons with the highest (IVS2), and lowest (IVS1) fitness costs contained cassette promoters identical to the recently described weak (PCW) and strong (PCS) promoters, respectively . The difference in relative fitness between strains IVS1 and IVS2 was statistically significant in independent sample t-tests (p = 0.03*), suggesting a correlation between integrase activity and the fitness cost of harboring an integron. The integron with the intermediate fitness cost (strain IVS3, w = 0.92±0.04) contained a hybrid PC promoter.
Inactivation of the integrase gene restored fitness
In three integron-containing A. baylyi strains (IVS1, IVS2, and IVS3), the intI1 integrase genes were inactivated by insertions of either cat (strain IVS1 intI1::cat) or nptII sacB cassettes (strains IVS2 intI1::nptII sacB and IVS3 intI1::nptII sacB). These intI1 knockout mutants displayed no significant reduction in relative fitness in mixed competition experiments with the ancestral A. baylyi ADP1 (Figure 1). To test the hypothesis that strains with inactivated integrases increased fitness when compared to their functional counterparts, independent sample t-tests were performed. For all pairs, the intI1 inactivation restored fitness completely: IVS1 vs. IVS1 intI1::cat (p = 0.015**), IVS2 vs. IVS2 intI1::nptII sacB (p<0,001**), and IVS3 vs. IVS3 intI1::nptII sacB (p = 0,003**). These data further demonstrate that the initial fitness cost of integron-carriage was due to the presence of an active integrase. Expression of the integrase genes in the chromosomal insertion locus was verified by reverse transcription PCRs (RT-PCR) in IVS1, IVS2, and IVS3. No transcripts were detected in strains IVS1 intI1::cat, IVS2 intI1::nptII sacB, and IVS3 intI1::nptII sacB (Figure S1).
Inactivated integrase genes emerged during serial transfer experiments
A total of 20 A. baylyi IVS1 cultures were subjected to daily 1∶100 dilutions in fresh LB medium. During the serial transfer experiments the evolving populations were screened for colonies of increased size on LB agar plates, a method regularly used to identify fitness compensated mutants , . Twice a week agar plates were visually inspected and the first colony of increased size appeared after 30 days in one of the populations. This colony was isolated and frozen down for further analyses. At day 42 we isolated two additional colonies from different populations. These isolates were analyzed and they all contained mutations in the intI1. Complete integrons from these three evolved A. baylyi IVS1 genetic backgrounds were transferred back into the ancestral A. baylyi ADP1 strain, yielding strains IVS1EV-1, IVS1EV-2, and IVS1EV-3.
To test the hypothesis that the evolved integrons increased fitness, they were competed against the ancestral ADP1. Mixed culture competition experiments revealed that fitness was completely restored in these strains (Figure 1). Independent sample t-tests further verified that the relative fitness of the each evolved integron was significantly different from its intI1-functional ancestor IVS1, (p = 0,001**, for all three comparisons). Subsequent characterizations of these three transformants by DNA sequencing revealed frameshift mutations close to the start codon of the intI1 open reading frame rendering the integrase non-functional (Figure S2). RT-PCR of evolved strain IVS1EV-1 yielded no transcript (Figure S1).
We hypothesized that functional integrases are maintained by episodic selection provided by fluctuating environments . To test this hypothesis in silico we parameterized a mathematical model with our own experimental data, and relevant parameters from the literature. Parameters related to resource utilization (e and km) were calibrated to yield population sizes close to what we observed in the laboratory. The MIC values were based on our own experiments, parameters on growth characteristics were derived from our own study (fitness values) combined with values from the literature. For a complete list of parameters used in these serial transfer simulations, see Table 1. Fig. 2A shows the predicted population dynamics of strains harboring a newly acquired integron with a functional integrase with one (I1 – blue line) and two (I2 – black line) gene cassettes, the integron free susceptible wild type (P – green line), and two fitness ameliorated integrase- mutants (M1 - light blue and M2 - grey). The predicted in silico population dynamics, before “shift” in Figure 2A, mirrors our experimental data form the serial transfer cultures where integrase specific fitness compensating mutants were isolated after 30 and 42 days of serial transfers. These single mutants were selected on antibiotic free agar plates with approximately 100 colonies, suggesting an approximate frequency of 1/100. Fluctuating environments are simulated by a probability of encountering antibiotic A for a period of 40 transfers, and then antibiotic B for the remaining time period, both at a 10% probability per transfer. The results shown in Fig. 2A are the median values for 100 simulations. Our simulations show that functional integrases are descending when only one antibiotic is present. However, the switch to a second antibiotic B allows the pre-existing two-gene cassette integron (I2) to rapidly ascend to high frequency. During this ascent I1 and M1 are driven extinct. Without further environmental change, the mutated integrase M2 outcompetes its less fit counterpart I2. As shown in Fig. 2B, persistence of integrons with functional integrases strongly depends on when the switch to antibiotic B occurs. To assess the robustness of the model predictions scenario in Fig. 2A we explored different parameter ranges for the gene cassette acquisition rate (λ), mutation rate for inactivated integrase (π), and the mutation rate for restoration of functional integrase (θ). We performed 500 additional simulations where π and θ were varied over 10 values each, and λ over 5 levels (ranges provided in Table 1). As illustrated in Figure S3 the model predictions were robust for a wide range of these parameter combinations. Further, we explored the extreme values of the 95% CI of the relative fitness parameter V as experimentally determined (w = 0.91 and 0.95) alone and in combinations with different parameter values. These values and the mean fitness value (w = 0.93) for VI were tested when π, θ, and λ varied over a small range (±.2.5%) to assess changes in model predictions. Qualitatively all additional simulations (n = 581) were consistent with the scenario presented in Figure 2A providing generality to the model predictions (data not shown).
Diamond indicates antibiotic switch. Population I harbors an integron with a functional integrase with one gene cassette encoding resistance to antibiotic A (dark blue line). Population I2 has acquired a second gene cassette and encodes resistance to both antibiotics A and B (black line). Following frameshift and nonsense mutations in the functional integrase, populations I1 and I2 form M1 (light blue line) and M2 (grey line), respectively. Population P (green line) is the integron-free wild type. The results shown are the median values of 100 realizations until the I2 population falls below 1 CFU per ml. 2B) Persistence of integrons with functional integrases: The connected crosshairs presented in figure 2B shows the proportion of realizations where the functional integrase (in population I2) is still present after 50 additional transfers following different time intervals between shifts from antibiotic A to B.
We show for the first time that newly acquired integrons can substantially reduce relative fitness of its new bacterial host. Following the insertion in a selectively neutral chromosomal locus, the three class-1 integrons from isolates of A. baumannii and S. enterica serovar Typhimurium reduced fitness in the A. baylyi recipient by 7–11%. For comparison, these fitness costs are in the range of mutations conferring antimicrobial resistance through modifications of housekeeping genes such as par/gyr mutations (fluoroquinolone resistance) in Streptococcus pneumoniae , and some rpoB mutations in E. coli . Direct insertional inactivation of the three intI1 alleles completely mitigated the initial fitness reductions, clearly suggesting that the fitness costs observed were due to the presence of a functional integrase gene (intI1).
Non-functional integrase genes due to frameshift- and nonsense-mutations are frequently encountered in surveys , , . We asked whether functional intI1 genes would be inactivated during experimental evolution. After 30–42 days of daily serial transfers we observed colonies of increased size on agar plates, representing putative fitness compensated mutants. Integrons from evolved isolates were subsequently introduced into the ancestral genetic A. baylyi ADP1 background, and in these strains they no longer reduced fitness of the host bacterium (Figure 1). Sequence analyses of the three intI1 genes revealed the presence of frameshift mutations in the first quarter of intI1 resulting in premature stop codons, rendering these integrases inactive (Figure S2). The emergence of non-functional intI1 genes during experimental evolution with mutational inactivation patterns identical to those reported from bacterial isolates of environmental and clinical origins , ,  strongly suggests that integrase pseudogenes may ascend to high frequencies in bacterial populations by natural selection.
It was recently demonstrated that intI expression is under the control of the SOS response through the presence of LexA binding sites in the integrase promoters (including class-1 intI1) , . These authors proposed that LexA repression reduce the potential detrimental effects of intI expression, and that SOS induction allows expression of the integrase gene when new gene cassettes could provide a response to stressful and potentially lethal environmental conditions , . It was also suggested that integrase inactivation is correlated with absence of LexA regulation , and that this is a key factor explaining the high proportion of pseudo-intI-genes found in integron-containing bacteria , , . The experimental data reported here are the first to support both these hypotheses. The majority of Acinetobacter species, including our model organism A. baylyi and the clinically relevant A. baumannii all lack lexA homologues , . Thus, intI1 is most likely not under LexA repression in our model system, and the newly acquired integrons reduced fitness in A. baylyi, despite the presence of native LexA binding sites in two out of three integrons. The mutational inactivation of intI1 completely mitigated the fitness costs of integron carriage, and in the absence of repression the inactivation could very well mimic tight repression of integrase expression.
The serial transfer experiments were performed in nutrient-rich LB medium, as opposed to minimal medium for the competition experiments. The emergence of fitness compensated A. baylyi with non-functional integrases during experimental evolution strongly suggests that the fitness costs of integron carriage are not limited to specific growth conditions. Consequently, the fitness restoration due to intI1 inactivation leads to stabilization of the cassette arrays in the bacterial population, and integron-borne antibiotic resistance determinants will not be reduced following relaxed selective antibiotic pressures.
Previous reports indicate an inverse correlation between gene-cassette promoter (PC) strength and integrase activity ,  as well as expression levels . From the results presented in these reports it could be hypothesized that a strong gene-cassette promoter would decrease the overall activity of the integrase gene, and that the cost of integron carriage should be reduced. Our results favor this hypothesis. However, the results should be interpreted with some caution since we achieved significance at the alpha level, but not when Bonferroni correction was applied. The newly acquired integron from a clinical A. baumannii strain (∼7% fitness cost) contained a cassette promoter sequence identical to the “strong promoter” (PCS) whereas the cassette promoter of the integron from the S. enterica serovar Typhimurium strain (∼11% fitness cost) displayed a “weak promoter” (PCW), as reported by Jove et al. . Moreover, the integrase sequence from S. enterica serovar Typhimurium revealed amino acids in positions 32 (R), and 39 (H) consistent with the highest recombination activity demonstrated in . Jove and co-workers suggested that increased expression of gene cassettes, leading to higher levels of resistance, would be selected for in environments with strong antibiotic selective pressures. Our results add complexity to that hypothesis insofar that the increased expression of gene-cassettes also could lead to reduced integrase activity, and thus stabilize functional integrons in non-selective environments.
Two lines of evidence support that the mechanistic basis for the observed fitness effects of functional integrases is reduced genomic stability. First, IntI1 can catalyze recombination events between attI/attC sites and frequently encountered non-canonical sites in the genome, as demonstrated by Recchia and co-workers . Secondly, purified IntI1 enzyme possesses all functions necessary for target recognition and recombination, as shown in in vitro strand transfer assays , . Consequently, when newly acquired and in the absence of tight regulation, expressed integrase would be able to form recombination junctions between the integron and sequence-regions elsewhere in the genome. Resolution of such single strand crossovers ultimately leads to potentially lethal deletions of the genomic region between the recombination sites either following replication or IntI1 activity, as demonstrated in co-integrate resolution experiments .
We hypothesized that environmental fluctuations and episodic selection  are key to the maintenance of functional integrases, and explored this in computer simulations. According to our hypothesis selection for pre-existing gene cassettes in integrons (type-1 episodes) acts synergistically with the ability to capture new cassettes that provide bacteria with a selective benefit in changing environments (type-2 episodes). Type-1 episodes favoring pre-existing gene cassettes allow integrons to reach high frequencies in the population but during these conditions, due to the fitness cost of the active integrases, non-functional integrases rapidly ascend in the population. Type-2 episodes select for new gene cassettes acquired by the active integrase. Our simulations show that maintenance of functional integrases depends on the time between the different episodes (i.e. the frequency of environmental change), as well as the continuous availability of new and adequate gene cassettes. Of course the selective episodes could be other favorable traits encoded by gene-cassettes, and are not limited to antibiotic resistance determinants.
In conclusion, the presented data suggest that in the absence of intI1 repression, a fitness trade-off exists for the maintenance of integrons with functional integrases. The initial high fitness cost of the integrase can only be outweighed by selection for gene cassette dynamics.
Materials and Methods
The bacterial strains, plasmids, and primers used in this study are listed in Tables 2, S1 in Text S1, and S2 in Text S1. Strains were grown in S2-minimal medium, amended with 2% lactate , or Luria Bertani (LB) agar or broth at 30°C or 37°C under aeration.
Plasmid pTM4 is derived from the pGT41  and was used for in vitro insertion of integrons into a chromosomal locus. pTM4 contains segments identical to upstream and downstream segments of the 5′-region of the chromosomal A. baylyi ACIAD3309 open reading frame for homologous recombination, interrupted by a SacI/Ecl136II restriction site, and was constructed as follows: The downstream segment (707 bp) was PCR-amplified with primers ACIAD3309-down-F (including a 5′-heterologous tail containing an Ecl136II/SacI site) and ACIAD3309-down-R (Table S2, in Text S1) with Phusion DNA polymerase (Finnzymes, Espoo, Finland) according to the manufacturer's instructions but with 10% DMSO added, and inserted into the KspAI site of pGT41, giving pTM1. The upstream segment (785 bp) was amplified with primers ACIAD3309-up-f and ACIAD3309-up-r (with 5′-Ecl136II/SacI tail) and inserted into the OliI site of pTM1, giving pTM2. From pTM2, two unwanted segments were removed as follows: A 2.7 kbp insert containing an nptII (kanamycin resistance) gene was excised by cleavage with SacI (has 2 sites in pTM2) and re-circularization of the large fragment, resulting in pTM3 which has the two segments for homologous recombination ligated immediately upstream and downstream of an Ecl136II/SacI restriction site. From pTM3, the bla (ampicillin resistance) gene was truncated and rendered non-functional by cleavage with XmnI (contains 2 sites in pTM3) and re-circularization of the large fragment, giving pTM4.
Construction of class-1 integron containing A. baylyi
A. baylyi IVS1 was constructed as follows: The integron of A. baumannii Ab064 (Table 2) including the 5′- and 3′-CS was PCR-amplified with Phusion polymerase using 5′-phosphorylated primers IntF2 and OrfRev3 (Table S2, in Text S1) and ligated to Ecl136II-cleaved (blunt-ended linear) pTM4, respectively. The ligation assay was used as donor DNA to naturally transform (see below) A. baylyi ADP1. Transformants were selected on medium containing kanamycin (25 µg/ml). One transformant was generated from a PCR product covalently joined to a vector molecule at both ends and that substituted the 5′-end of ACIAD3309 with the integron from A. baumannii Ab064, and termed IVS1. Co-integrates were excluded by screening for chloramphenicol sensibility, and the desired insertion was verified by PCR. The strains IVS2 and IVS3 were constructed as described for IVS1 with integrons of S. enterica serovar Typhimurium 490 and A. baumannii 47-42 (Table 2), respectively, using primers IntF2/OrfRev2 and employing corresponding selection and PCR controls. The three class-1 integrons differed in the variable regions (Table 2) as well as in the integrase sequences (different gene cassette promoters and SNPs). The integrase accession numbers are JX041889 (A. baumannii Ab064), AM991977 (S. enterica serovar Typhimurium 490), and JX259274 (A. baumannii 47-42). Strain IVS4 (locus neutrality control) was obtained by transformation of A. baylyi ADP1 by pTM2 (kanamycin-resistant, sucrose-sensitive, verified by PCR).
Insertion inactivation of intI1
The intI1 gene of IVS1 was disrupted by natural transformation with HincII-linearized pACYC177-int-cat as substrate for natural transformation (Table S1, in Text S1). This plasmid contains an internal fragment of the intI1 gene of A. baumannii AB064 with a cat (chloramphenicol resistance) gene inserted. The resulting strain was PCR-verified and termed IVS1 intI1::cat. The intI1 genes of IVS2 and IVS3 were insertion-inactivated in a corresponding manner by pACYC177-int-nptII-sacB, which contains the nptII sacB marker pair (kanamycin resistance/sucrose susceptibility) from pTM2 (cloned as Ecl136II fragment) instead of cat , . The resulting strains were verified phenotypically, and by PCR and termed IVS2 intI1::nptII sacB and IVS3 intI1::nptII sacB, respectively.
Serial transfer experiments and transfer of evolved integrons back into the ancestral genetic background
Strain IVS1 with a class-1 integron from A. baumannii Ab064 was subjected to daily one hundred-fold dilutions in 10 ml LB broth in 20 independent parallels for 30–42 days. Aliquots were plated every third day on LB agar plates to screen for fitness-compensated mutants by increased colony size. Evolved integrons were transferred back into the ancestral A. baylyi ADP1 background by PCR-amplification including surrounding regions of homology using homologous transformation (yielding strains IVS1EV-1, IVS1EV-2, and IVS1EV-3) (Table 2).
Integron-containing and -free A. baylyi ADP-1, otherwise isogenic, were subjected to mixed competition experiments as previously described ,  with the following modifications: Competing strains were pre-grown in S2 minimal media for 24 hours before diluting 1∶10 in NaCl (0,9%), and 150 µl of each competitor was transferred and mixed into 2.7 ml S2 medium supplied with 0.1% DNase (to exclude natural transformation in the assays). Initial (N0) and final densities (N24) of competing strains were measured before the onset of competitions and after 24 hours by selective and non-selective plating. Selective traits exploited were antibiotic resistance markers or a counter-selective marker (nptII or aadB, kanamycin resistance; aadA, spectinomycin resistance; blaOXA-30 ampicillin resistance; sacB, sucrose susceptibility). From these densities, the Malthusian parameter (m) of each competitor was determined using the equation m = ln (N24/N0). Relative fitness (w) was estimated as the ratios of each competitor's Malthusian parameter (m1/m2) . To avoid potential marker-bias m1 and m2 were estimated by selective plating on antibiotics (kanamycin/spectinomycin/ampicillin) in one genetic background followed by sucrose selection in the other. Results were always congruent for the antibiotics and concentrations chosen, and data from both selective regimes were pooled. Estimates of w were based on 12–24 parallel experiments for each competition experiment.
Preparation of competent cells and transformation assays were performed as described previously ,  with some modifications. Briefly, competent cells were prepared by diluting an overnight culture of A. baylyi 1∶100 in fresh LB. The culture was incubated at 30°C with vigorous shaking until the cell titer reached 1×109 ml−1. The cells were chilled on ice, pelleted by centrifugation at 5000×g and 4°C for 15 min, and re-suspended in LB supplemented with 20% glycerol. Aliquots were stored at −80°C until use. For transformation, competent cells were thawed on ice and diluted 1∶40 in LB medium containing the donor DNA. The assays were aerated for 90 min at 30°C and plated on selective media plates in appropriate dilutions. The plates were incubated at 30°C until visible colonies had formed (16–40 hours).
Phenotypic and genotypic characterization
The minimal inhibitory concentrations (MICs) of the donor, recipient and transformant strains were determined for sulfamethoxazole, kanamycin, streptomycin, spectinomycin, gentamicin, and ampicillin, by E-test according to the instructions of the manufacturer (BioMeriux, France). Nucleic acids were isolated with QIAGEN Genomic/Plasmid DNA kits (QIAGEN, Germany), according to the manufacturer's instructions.
The transformation assay using A. baumannii 064, S. enterica serovar Typhimurium 490 and A. baumannii 47-42 as donors, resulted in a number of transformants that were analyzed phenotypically (MIC values, Table S3, in Text S1) and genotypically. Primers IntF2/OrfRev3 and IntF2/OrfRev2 were used to amplify the entire integron region in both transformants and donor strains, giving approximate sizes of 4 kb, 5 kb, and 6 kb for A. baumannii 064, S. thyphimurium 490 and A. baumannii 47-42 transformant strains, respectively. Primers 5CS′/3CS′ were used to verify the size of the variable regions in both donor and test strains; primers UpF/DownR as well as IntF2/3CS′ and 5CS′/OrfRev2/OrfRev3 were used to confirm the correct position of the aquired integrons in the ADP1 genome. Primers IntF2/OXA303R and IntF2/aacC1-OrfP-R were used to verify the position of the gene cassettes within an integron in the strains IVS2 and IVS3, respectively. Primers aadBF/aadBR, OXA305F/OXA303R and aacC1-F2/aacC1-orfP-R (Table S2, in Text S1) were used for gene cassettes identification within the integrons.
The unknown regions surrounding the integron in the donor were sequence determined by direct genomic DNA sequencing (primer walking) as described previously  with the following modifications: 20 µl sequencing reactions consisted of 4 µl BigDye v3.1 sequencing mix (Applied Biosystems), 4 µl of the primer at a concentration 10 mM, 4 µl of a sequencing buffer, and ∼4 µg of the purified chromosomal DNA. The sequences of the integrons in the donor strain and transformants were determined by sequencing (BigDye Chemistry) of the PCR products obtained from the primers IntF2/OrfRev3, or IntF2/OrfRev2 (Table S2, in Text S1). The sequence of the integrase gene was determined by sequencing of the PCR products amplified with the primers IntF2/aadBR, IntF2/GCS1RevComp, and INCINTF/IntI1F. PCR products were purified by adding a mix of exonuclease 1 (0.2 U/µl PCR product) (New England Biolabs) and shrimp alkaline phosphatase (0.01 U/µl PCR product) (Roche) followed by 30 minutes incubation at 37°C and 5 minutes at 95°C in a PCR machine. The obtained sequences were analysed by the Sequencher v.4.2.2 programme (GeneCodes, USA) and compared to previously published sequences (GenBank).
Reverse transcription PCR (RT-PCR)
RNA was isolated using the Total RNA Isolation KIT (Macherey-Nagel, Germany), and cDNA was synthesized using MonsterScript 1st-strand cDNA synthesis Kit (Epicentre Biotechnologies, USA), both according to the manufacturer's instructions. The generated cDNA was amplified using primers INCINTF/IntI1F (Table S2, in Text S1).
To investigate the conditions that favor maintenance of integrons in bacterial populations, we used a mathematical model and numerical solutions, based on  . This serial passage model included five populations. Populations I1 and I2, contain functional integrases where I1 has captured a single cassette encoding resistance to antibiotic A, I2 has captured two gene cassettes and is resistant to both antibiotics A, and B. Populations I1 and I2 can acquire frameshift mutations in intI1 and turn into populations M1 and M2 with non-functional integrases, respectively. Population P is the antibiotic susceptible, integron-free wild type. The growth rates of I, M, and P populations are determined by the pharmaco-dynamic function developed by Regoes and co-workers , where a Hill-function determines the growth rate or death rate (negative growth rate) of the populations in the presence of antibiotics , . Briefly, the growth rate depends on the concentration of resource (R), antibiotics (A and B), and antibiotic susceptibility (MIC). In this model each population have two different growth rates; and . In the simulations is chosen if antibiotic A is present, and when B is present, such that . Thus, the model does not simulate events where both antibiotics are present. With these definitions the changes in the population densities during one serial transfer event of I, M, and P populations are given by the following equations:where e µg/ml is the conversion efficiency (the resource concentration necessary to produce one new cell) , da and db are the decay rates of the antibiotics, π is the mutation rate for generating defective integrases, and θ is the mutation rate for restoring functionality of defective integrases. λ is the rate at which populations with functional integrases acquire gene cassettes. An illustration of the model with respect to π, θ, λ is given in Figure S4. A list of parameter values is given in Table 2.
Following each simulated dilution (1∶100) 50 µg/ml of the resource was added, and the introductions of antibiotics were stochastic events. Each transfer was assigned a random value (range 0 to 1) from a uniform distribution of numbers. When this value was above a defined probability of 10%, antibiotics were added at 2× (antibiotic A) and 10× (antibiotic B) the MIC concentration of the susceptible populations in order to ensure proper selective effects of the added antibiotics. To investigate the temporal effect of fluctuating environments on the population dynamics of integron containing populations the temporal switch from antibiotic A to B was set at days 20, 40, 50, 60, 70, 75, 80, 100. A total of 100 simulations were performed at each frequency. To qualitatively test the robustness of the model predictions 500 additional simulations were run for different combinations of θ (10), π (10), and λ (5) within the ranges provided in Table 2. We also tested the model behavior where the parameters θ, π and λ were combined with a small variation around the original selected model parameter (±2.5%) for three levels of the relative fitness of integron carriage parameter (Vx). These levels of Vx included the extreme values from the 95% confidence intervals provided in the experimental measurements. For a numerical solution of the differential equations and to simulate the experimental conditions, the open source computer program R version 2.14.1 was used . Dilutions as well as introduction of resource and antibiotics were determined by the events argument in the lsoda function from the deSolve package version 1.10-3 .
Theoretical model, assumptions and parameters
We assume that gene cassettes are available for the populations with functional integrase. Further, the resistance genes are assumed to be selectively neutral, as supported by the experiments conducted in this study. We model the use of two antibiotics to show the principle of a heterogeneous environment and the antibiotics are assumed to have no interactions. In these simulations a cut off was set at 1 CFU per ml where all growth and interactions were stopped. All populations were diluted 1∶100 every 24 hours. For simplicity, gene cassette reshuffling (the order of resistance genes) or loss of single gene cassettes was not considered. For each set of environmental variables the median population densities from 100 simulations were calculated for each time point and the logarithm of the densities plotted at 24-hour intervals until I2 population reaches 1 CFU/ml.
Parameter estimation and statistical tests were performed in SPSS vs. 17. In addition to significance at the alpha level (0.05*), multiple testing issues were addressed by Bonferroni corrections of significance levels (indicated as ** throughout the text).
IntI1 from A. baumannii Ab064: JX041889.
IntI1 from S. enterica serovar Typhimurium 490: AM991977.
IntI1 (partial) A. baumannii 47-42: JX259274.
Upper row: RT-PCR with integrase-specific primers (INCINT/IntI1F) confirms expression of the integrase in the constructed strains IVS1 (lane 2), IVS2 (lane 5) and IVS3 (lane 7); for the strains IVS1 intI1::cat (lane 3), IVS1EV-1 (lane 4), IVS2 intI1::nptII sacB (lane 6) and IVS3 intI1::nptII sacB (lane 8) expression of the integrase is below the detection limit. ADP1 was chosen as a negative control for the expression of the integrase (lane 9). RT-PCR does not reveal any amplification with RNA samples in all the strains (lanes 12–19). Lanes 1 and 11- molecular weight marker 1 kb+ DNA-ladder; lanes 10 and 20 - water controls. Bottom row: RT-PCR with 16SrDNA-specific primers (16SF/16SR) was performed to confirm the expression of this gene in all the strains: IVS1, IVS1 intI1::cat, IVS1EV-1, IVS2, IVS2 intI1::nptII sacB, IVS3, IVS3 intI1::nptII sacB, ADP1 (lane 2–9, respectively). RT-PCR with RNA samples does not show amplification of the gene (lanes 12–20). Lane 1- molecular weight marker 1 kb+ DNA-ladder; Lanes 10 and 11 - water controls.
Amino acid sequence of the ancestral-(top), and evolved intI1 (IVS1EV-1, IVS1EV-2, IVS1EV-3) strains. Amino-acids in bold indicate identity to the ancestral strain. All evolved strains revealed early frameshift mutations: Deletion of G142 in IVS1EV-1/IVS1EV-2. In IVS1EV-3 an additional G was inserted in position 98. Consequently, early stop-codons emerged rendering the respective gene products inactive.
Model predictions for broad ranges of the parameters λ (gene-cassette acquisition rate), π (integrase inactivation rate), and θ (back-mutation rate for restoration of functional integrase). All other parameter values: as in Figure 2A. Top left: when gene cassette acquisition rate (λ) is too low, no second gene cassette is acquired and I2 and M2 are not generated (white boxes). Subsequently, all populations are killed following shift from antibiotic A to B. The model predictions from Figure 2A are robust for any given combination of parameter ranges for π, λ, and θ depicted with crossed gray boxes. When integrase inactivation rates (π) are too low for the formation of inactive integrases, active integrases only are maintained in the model (open gray boxes).
Illustration of the model used to determine the existence conditions for Class-1 integrons with a costly, but functional integrase. I1 has one-, and I2 has two-gene cassettes encoding resistance towards antibiotics A and/or B. M1 and M2 are integrase defective mutants of I1 and I2, respectively. Gene-cassette B is acquired at a rate (λ), integrases in populations M1 and M2 are inactivated at a rate π, and the non-functional integrases are restored by mutation at a rate θ.
Table S1. Plasmids constructed in this study, Table S2. Primers used in this study, Table S3. Phenotypic characteristics of strains used in this study, and S1 References.
We thank Bruce R. Levin for helpful advice and good discussions as well as for reading through the manuscript. Valuable contributions were also made by Nils Hülter, Vidar Sørum, Sara Domingues, Conny Tummler, and Anne-Hilde Conradi. We thank four anonymous reviewers for constructive criticism and valuable contributions to the manuscript.
Conceived and designed the experiments: PJJ KMN ØS RP PH KH IS. Performed the experiments: IS KH TTML PH RP. Analyzed the data: IS PJJ KH TTML PH RP ØS KMN. Wrote the paper: PJJ IS KH PH KMN.
- 1. Thomas CM, Nielsen KM (2005) Mechanisms of, and barriers to, horizontal gene transfer between bacteria. Nature Rev Microbiol 3: 711–721. doi: 10.1038/nrmicro1234
- 2. Ochman H, Lawrence JG, Groisman EA (2000) Lateral gene transfer and the nature of bacterial innovation. Nature 405: 299–304. doi: 10.1038/35012500
- 3. Berg OG, Kurland CG (2002) Evolution of microbial genomes: sequence acquisition and loss. Molecular biology and evolution 19: 2265–2276. doi: 10.1093/oxfordjournals.molbev.a004050
- 4. Bouma JE, Lenski RE (1988) Evolution of a bacteria/plasmid association. Nature 335: 351–352. doi: 10.1038/335351a0
- 5. Dahlberg C, Chao L (2003) Amelioration of the cost of conjugative plasmid carriage in Eschericha coli K12. Genetics 165: 1641–1649.
- 6. Lind PA, Tobin C, Berg OG, Kurland CG, Andersson DI (2010) Compensatory gene amplification restores fitness after inter-species gene replacements. Mol Microbiol 75: 1078–1089. doi: 10.1111/j.1365-2958.2009.07030.x
- 7. Levin BR, Lipsitch M, Perrot V, Schrag S, Antia R, et al. (1997) The population genetics of antibiotic resistance. Clin Infect Dis 24 Suppl 1: S9–16. doi: 10.1093/clinids/24.supplement_1.s9
- 8. Johnsen PJ, Simonsen GS, Olsvik O, Midtvedt T, Sundsfjord A (2002) Stability, persistence, and evolution of plasmid-encoded VanA glycopeptide resistance in enterococci in the absence of antibiotic selection in vitro and in gnotobiotic mice. Microb Drug Resist 8: 161–170. doi: 10.1089/107662902760326869
- 9. Sandegren L, Linkevicius M, Lytsy B, Melhus A, Andersson DI (2012) Transfer of an Escherichia coli ST131 multiresistance cassette has created a Klebsiella pneumoniae-specific plasmid associated with a major nosocomial outbreak. J Antimicrob Chemother 67: 74–83. doi: 10.1093/jac/dkr405
- 10. Andersson DI, Hughes D (2010) Antibiotic resistance and its cost: is it possible to reverse resistance? Nature Rev Microbiol 8: 260–271. doi: 10.1038/nrmicro2319
- 11. Johnsen PJ, Townsend JP, Bohn T, Simonsen GS, Sundsfjord A, et al. (2009) Factors affecting the reversal of antimicrobial-drug resistance. Lancet Infect Dis 9: 357–364. doi: 10.1016/s1473-3099(09)70105-7
- 12. Ray JL, Harms K, Wikmark OG, Starikova I, Johnsen PJ, et al. (2009) Sexual isolation in Acinetobacter baylyi is locus-specific and varies 10,000-fold over the genome. Genetics 182: 1165–1181. doi: 10.1534/genetics.109.103127
- 13. Enne VI, Delsol AA, Davis GR, Hayward SL, Roe JM, et al. (2005) Assessment of the fitness impacts on Escherichia coli of acquisition of antibiotic resistance genes encoded by different types of genetic element. J Antimicrob Chemother 56: 544–551. doi: 10.1093/jac/dki255
- 14. Elena SF, Lenski RE (1997) Test of synergistic interactions among deleterious mutations in bacteria. Nature 390: 395–398.
- 15. Foucault ML, Depardieu F, Courvalin P, Grillot-Courvalin C (2010) Inducible expression eliminates the fitness cost of vancomycin resistance in enterococci. Proc Nat Acad Sci USA 107: 16964–16969. doi: 10.1073/pnas.1006855107
- 16. Boucher Y, Labbate M, Koenig JE, Stokes HW (2007) Integrons: mobilizable platforms that promote genetic diversity in bacteria. Trends Microbiol 15: 301–309. doi: 10.1016/j.tim.2007.05.004
- 17. Jove T, Da Re S, Denis F, Mazel D, Ploy MC (2010) Inverse correlation between promoter strength and excision activity in class 1 integrons. PLoS Genetics 6: e1000793. doi: 10.1371/journal.pgen.1000793
- 18. Wei Q, Jiang X, Li M, Chen X, Li G, et al. (2011) Transcription of integron-harboured gene cassette impacts integration efficiency in class 1 integron. Mol Microbiol 80: 1326–1336. doi: 10.1111/j.1365-2958.2011.07648.x
- 19. Guerin E, Jove T, Tabesse A, Mazel D, Ploy MC (2011) High-level gene cassette transcription prevents integrase expression in class 1 integrons. J Bacteriol 193: 5675–5682. doi: 10.1128/jb.05246-11
- 20. Mazel D (2006) Integrons: agents of bacterial evolution. Nature Rev Microbiol 4: 608–620. doi: 10.1038/nrmicro1462
- 21. Cornaglia G, Giamarellou H, Rossolini GM (2011) Metallo-beta-lactamases: a last frontier for beta-lactams? Lancet Infect Dis 11: 381–393. doi: 10.1016/s1473-3099(11)70056-1
- 22. Betteridge T, Partridge SR, Iredell JR, Stokes HW (2011) Genetic context and structural diversity of class 1 integrons from human commensal bacteria in a hospital intensive care unit. Antimicrob Agents Chemother 55: 3939–3943. doi: 10.1128/aac.01831-10
- 23. Liebert CA, Hall RM, Summers AO (1999) Transposon Tn21, flagship of the floating genome. Microbiology and molecular biology reviews: MMBR 63: 507–522.
- 24. Stokes HW, Hall RM (1989) A novel family of potentially mobile DNA elements encoding site-specific gene-integration functions: integrons. Mol Microbiol 3: 1669–1683. doi: 10.1111/j.1365-2958.1989.tb00153.x
- 25. Leverstein-van Hall MA, Box AT, Blok HE, Paauw A, Fluit AC, et al. (2002) Evidence of extensive interspecies transfer of integron-mediated antimicrobial resistance genes among multidrug-resistant Enterobacteriaceae in a clinical setting. J Infect Dis 186: 49–56. doi: 10.1086/341078
- 26. Rosewarne CP, Pettigrove V, Stokes HW, Parsons YM (2010) Class 1 integrons in benthic bacterial communities: abundance, association with Tn402-like transposition modules and evidence for coselection with heavy-metal resistance. FEMS Microbiol Ecol 72: 35–46. doi: 10.1111/j.1574-6941.2009.00823.x
- 27. Cambray G, Guerout AM, Mazel D (2010) Integrons. Ann Rev Genetics 44: 141–166. doi: 10.1146/annurev-genet-102209-163504
- 28. Nemergut DR, Robeson MS, Kysela RF, Martin AP, Schmidt SK, et al. (2008) Insights and inferences about integron evolution from genomic data. BMC Genomics 9: 261. doi: 10.1186/1471-2164-9-261
- 29. Guerin E, Cambray G, Sanchez-Alberola N, Campoy S, Erill I, et al. (2009) The SOS response controls integron recombination. Science 324: 1034. doi: 10.1126/science.1172914
- 30. Gillings MR, Holley MP, Stokes HW, Holmes AJ (2005) Integrons in Xanthomonas: a source of species genome diversity. Proc Nat Acad Sci USA 102: 4419–4424. doi: 10.1073/pnas.0406620102
- 31. Johnsen PJ, Dubnau D, Levin BR (2009) Episodic selection and the maintenance of competence and natural transformation in Bacillus subtilis. Genetics 181: 1521–1533. doi: 10.1534/genetics.108.099523
- 32. Barbe V, Vallenet D, Fonknechten N, Kreimeyer A, Oztas S, et al. (2004) Unique features revealed by the genome sequence of Acinetobacter sp. ADP1, a versatile and naturally transformation competent bacterium. Nucleic Acids Res 32: 5766–5779. doi: 10.1093/nar/gkh910
- 33. Bjorkman J, Nagaev I, Berg OG, Hughes D, Andersson DI (2000) Effects of environment on compensatory mutations to ameliorate costs of antibiotic resistance. Science 287: 1479–1482. doi: 10.1126/science.287.5457.1479
- 34. Maisnier-Patin S, Berg OG, Liljas L, Andersson DI (2002) Compensatory adaptation to the deleterious effect of antibiotic resistance in Salmonella typhimurium. Mol Microbiol 46: 355–366. doi: 10.1046/j.1365-2958.2002.03173.x
- 35. Rozen DE, McGee L, Levin BR, Klugman KP (2007) Fitness costs of fluoroquinolone resistance in Streptococcus pneumoniae. Antimicrob Agents Chemother 51: 412–416. doi: 10.1128/aac.01161-06
- 36. Reynolds MG (2000) Compensatory evolution in rifampin-resistant Escherichia coli. Genetics 156: 1471–1481.
- 37. Cambray G, Sanchez-Alberola N, Campoy S, Guerin E, Da Re S, et al. (2011) Prevalence of SOS-mediated control of integron integrase expression as an adaptive trait of chromosomal and mobile integrons. Mob DNA 2: 6. doi: 10.1186/1759-8753-2-6
- 38. Hare J, Bradley J, Lin CL, Elam T (2011) Diverse DNA damage responses in Acinetobacter include the capacity for DNA damage-induced mutagenesis in the opportunistic pathogens Acinetobacter baumannii and Acinetobacter ursingii. Microbiology 158(Pt 3) 601–11. doi: 10.1099/mic.0.054668-0
- 39. Robinson A, Brzoska AJ, Turner KM, Withers R, Harry EJ, et al. (2010) Essential biological processes of an emerging pathogen: DNA replication, transcription, and cell division in Acinetobacter spp. Microbiology and molecular biology reviews: MMBR 74: 273–297. doi: 10.1128/mmbr.00048-09
- 40. Recchia GD, Stokes HW, Hall RM (1994) Characterisation of specific and secondary recombination sites recognised by the integron DNA integrase. Nucleic Acids Res 22: 2071–2078. doi: 10.1093/nar/22.11.2071
- 41. Dubois V, Debreyer C, Litvak S, Quentin C, Parissi V (2007) A new in vitro strand transfer assay for monitoring bacterial class 1 integron recombinase IntI1 activity. PloS One 2: e1315. doi: 10.1371/journal.pone.0001315
- 42. Dubois V, Debreyer C, Quentin C, Parissi V (2009) In vitro recombination catalyzed by bacterial class 1 integron integrase IntI1 involves cooperative binding and specific oligomeric intermediates. PloS One 4: e5228. doi: 10.1371/journal.pone.0005228
- 43. Juni E (1974) Simple genetic transformation assay for rapid diagnosis of Moraxella osloensis. Appl Microbiol 27: 16–24.
- 44. Kickstein E, Harms K, Wackernagel W (2007) Deletions of recBCD or recD influence genetic transformation differently and are lethal together with a recJ deletion in Acinetobacter baylyi. Microbiology 153: 2259–2270. doi: 10.1099/mic.0.2007/005256-0
- 45. Dedonder R (1966) Levansucrose from Bacillus subtilis. Methods Enzymol 8: 500–505. doi: 10.1016/0076-6879(66)08091-1
- 46. Harms K, de Vries J, Wackernagel W (2007) A double kill gene cassette for the positive selection of transforming non-selective DNA segments in Acinetobacter baylyi BD413. J Microbiol Met 69: 107–115. doi: 10.1016/j.mimet.2006.12.006
- 47. Lenski RE, Rose MR, Simpson SC, Tadler SC (1991) Long-term experimental evolution in Escherichia coli. 1. Adaptation and divergence during 2,000 generations. Am Nat 138: 1315–1341. doi: 10.1086/285289
- 48. Harms K, Schon V, Kickstein E, Wackernagel W (2007) The RecJ DNase strongly suppresses genomic integration of short but not long foreign DNA fragments by homology-facilitated illegitimate recombination during transformation of Acinetobacter baylyi. Mol Microbiol 64: 691–702. doi: 10.1111/j.1365-2958.2007.05692.x
- 49. Regoes RR, Wiuff C, Zappala RM, Garner KN, Baquero F, et al. (2004) Pharmacodynamic functions: a multiparameter approach to the design of antibiotic treatment regimens. Antimicrob Agents Chemother 48: 3670–3676. doi: 10.1128/aac.48.10.3670-3676.2004
- 50. Levin BR, Udekwu KI (2010) Population dynamics of antibiotic treatment: a mathematical model and hypotheses for time-kill and continuous-culture experiments. Antimicrob Agents Chemother 54: 3414–3426. doi: 10.1128/aac.00381-10
- 51. Udekwu KI, Parrish N, Ankomah P, Baquero F, Levin BR (2009) Functional relationship between bacterial cell density and the efficacy of antibiotics. J Antimicrob Chemother 63: 745–757. doi: 10.1093/jac/dkn554
- 52. Stewart FM, Levin BR (1973) Resource partitioning and the outcome of interspecific competition: a model and some general considerations. Amer Nat 107: 171–198. doi: 10.1086/282825
- 53. R Development Core Team (2011) R: A language and environment for statistical computing. 2.14.1 ed. Vienna, Austria: R Foundation for Statistical Computing.
- 54. Soetaert K, Petzoldt T, Setzer RW (2010) Solving differential equations in R: Package deSolve. J Stat Software 33: 1–25.
- 55. Domingues S, Harms K, Fricke FW, Johnsen PJ, da Silva GJ, et al. (2012) Natural transformation facilitates transfer of transposons, integrons and gene cassettes between bacterial species. PLoS Pathogens 8: e1002837. doi: 10.1371/journal.ppat.1002837
- 56. Karah N, Haldorsen B, Hermansen NO, Tveten Y, Ragnhildstveit E, et al. (2011) Emergence of OXA-carbapenemase- and 16S rRNA methylase-producing international clones of Acinetobacter baumannii in Norway. J Med Microbiol 60: 515–521. doi: 10.1099/jmm.0.028340-0
- 57. Cornejo OE, Rozen DE, May RM, Levin BR (2009) Oscillations in continuous culture populations of Streptococcus pneumoniae: population dynamics and the evolution of clonal suicide. Proc R Soc B 276: 999–1008. doi: 10.1098/rspb.2008.1415
- 58. Bacher JM, Metzgar D, de Crecy-Lagard V (2006) Rapid evolution of diminished transformability in Acinetobacter baylyi. J Bacteriol 188: 8534–8542. doi: 10.1128/jb.00846-06
- 59. Stokes HW, O'Gorman DB, Recchia GD, Parsekhian M, Hall RM (1997) Structure and function of 59-base element recombination sites associated with mobile gene cassettes. Mol Microbiol 26: 731–745. doi: 10.1046/j.1365-2958.1997.6091980.x