|Year : 2019 | Volume
| Issue : 2 | Page : 232-239
Phenotypic & genotypic study of antimicrobial profile of bacteria isolates from environmental samples
Santhosh Kogaluru Shivakumaraswamy1, Vijaya Kumar Deekshit1, Rajeshwari Vittal1, Dharnappa Sannejal Akhila1, Dechamma Muthappa Mundanda2, Juliet Roshini Mohan Raj1, Anirban Chakraborty1, Indrani Karunasagar3
1 Division of Infectious Diseases, Nitte University Centre for Science Education and Research, Mangaluru, India
2 Department of Fisheries Microbiology, College of Fisheries, Mangaluru, India
3 Nitte University Centre for Science Education and Research, Mangaluru, India
|Date of Submission||31-Dec-2017|
|Date of Web Publication||3-Jun-2019|
Dr Indrani Karunasagar
UNESCO MIRCEN for Medical & Marine Biotechnology, Center for Science Education & Research, Nitte (Deemed to be University), University Enclave, Medical Sciences Complex, Deralakatte, Mangaluru 575 018, Karnataka
Source of Support: None, Conflict of Interest: None
| Abstract|| |
Background & objectives: The resistance to antibiotics in pathogenic bacteria has increased at an alarming rate in recent years due to the indiscriminate use of antibiotics in healthcare, livestock and aquaculture. In this context, it is necessary to monitor the antibiotic resistance patterns of bacteria isolated from the environmental samples. This study was conducted to determine the phenotypic and genotypic profile of antimicrobial resistance in Gram-negative bacteria isolated from environmental samples.
Methods: Two hundred and fifty samples were collected from different sources, viz. fish and fishery products (99), livestock wastes (81) and aquaculture systems (70), in and around Mangaluru, India. Isolation, identification and antimicrobial profiling were carried out as per standard protocols. The isolates were screened for the presence of resistance genes using PCR.
Results: A total of 519 Gram-negative bacteria comprising Escherichia coli (116), Salmonella spp. (14), Vibrio spp. (258), Pseudomonas spp. (56), Citrobacter spp. (26) and Proteus spp. (49) were isolated and characterized from 250 samples obtained from different sources. A total of 12 antibiotics were checked for their effectiveness against the isolates. While 31.6 per cent of the isolates were sensitive to all the antibiotics used, 68.4 per cent of the isolates showed resistance to at least one of the antibiotics used. One-third of the isolates showed multidrug resistance. Maximum resistance was observed for ampicillin (43.4%), followed by nitrofurantoin (20.8%). Least resistance was seen for carbapenems and chloramphenicol. PCR profiling of the resistant isolates confirmed the presence of resistance genes corresponding to their antibiotic profile.
Interpretation & conclusions: This study results showed high rate of occurrence of antimicrobial resistance and their determinants in Gram-negative bacteria isolated from different environmental sources.
Keywords: Antimicrobial resistance - environmental samples - genotypic characterization - multidrug resistance
|How to cite this article:|
Shivakumaraswamy SK, Deekshit VK, Vittal R, Akhila DS, Mundanda DM, Mohan Raj JR, Chakraborty A, Karunasagar I. Phenotypic & genotypic study of antimicrobial profile of bacteria isolates from environmental samples. Indian J Med Res 2019;149:232-9
|How to cite this URL:|
Shivakumaraswamy SK, Deekshit VK, Vittal R, Akhila DS, Mundanda DM, Mohan Raj JR, Chakraborty A, Karunasagar I. Phenotypic & genotypic study of antimicrobial profile of bacteria isolates from environmental samples. Indian J Med Res [serial online] 2019 [cited 2020 Aug 11];149:232-9. Available from: http://www.ijmr.org.in/text.asp?2019/149/2/232/259590
The development and spread of antibiotic resistance among bacteria affecting human health are most challenging problems of the modern world. The genetic determinants responsible for conferring resistance are often carried in self-transmissible mobile elements such as conjugative plasmids, gene cassettes in integrons and transposons, which are transferred between bacterial species, resulting in transmission of resistance to other species .
The development of resistance to a specific antimicrobial compound is influenced by several environmental factors and it has been reported that the organisms isolated from environment with high faecal contamination can easily acquire resistance to the common antimicrobial drugs . In addition, the non-therapeutic use of antimicrobials in animal husbandry, aquaculture, agriculture, poultry and piggery has increased the incidence of multidrug resistance forms in the environment ,. The presence of antibiotic resistance in Gram-negative bacteria has been well documented including their occurrence in aquaculture  and livestock . Among the Gram-negative bacteria, the prevalence of antimicrobial resistance has been reported to be high in Escherichia More Details coli, Salmonella More Details spp., Vibrio spp., Pseudomonas spp., Citrobacter spp. and Proteus spp.. It is important to understand and monitor the antibiotic resistance patterns of human pathogenic bacteria persisting in the environment. Hence, the main objective of this study was to investigate the phenotypic and genotypic profile of antimicrobial resistance in Gram-negative bacteria isolated from environmental samples.
| Material & Methods|| |
A total of 250 samples from different sources, viz. 99 from fish and fishery products comprising 61 of fish/shellfish and 38 of oyster/clam/molluscs; 81 from livestock wastes comprising poultry (23), piggery (14) and cattle wastes (44) samples and 70 from aquaculture systems comprising fish farm water (40) and pond sediment (30), in and around Mangaluru, India, were aseptically collected fortnightly during the study period (2011-2014). The samples were subjected to isolation of associated bacteria by culture-based conventional methods . Typical colonies from the selective plates were sub-cultured onto Luria Bertani (L-B) agar (HiMedia Laboratories Pvt. Ltd., Mumbai) and identified using standard biochemical tests, viz. Gram staining, motility, cytochrome oxidase, catalase, oxidation fermentation test, urease and triple sugar iron agar ,. E. coli, Salmonella spp. and Vibrio spp. were further confirmed by single-step PCR using species-specific primers [Table 1],,. Identified isolates were preserved in 30 per cent glycerol L-B broth and stored at −80°C for further studies.
|Table 1: Primers used for the confirmation of suspected Escherichia coli, Salmonella enterica and Vibrio spp. isolates|
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Antibiotic susceptibility test: Antibiotic susceptibility tests were performed for all the isolates using the disc diffusion method described by Bauer et al as per the Clinical and Laboratory Standards Institute guidelines . Twelve common antibiotics (in μg) namely nalidixic acid (30), tetracycline (30), co-trimoxazole (25), ciprofloxacin (5), chloramphenicol (30), ampicillin (10), gentamicin (10), nitrofurantoin (300), imipenem (10), meropenem (10mc), cefotaxime (30) and piperacillin-tazobactam (100/10) (HiMedia) were used for antibiotic profiling. ATCC 25922 E. coli culture was used as a standard quality control strain for AST for Enterobacteriaceae groups.
Detection of antibiotic resistance determinants by PCR: The isolates showing resistance to particular antibiotics were selected and screened for the presence of antibiotic resistance determinants by PCR using the primers listed in [Table 2] ,,,. Genomic DNA was extracted from the bacterial culture by cetyl-trimethyl ammonium bromide method . Using genomic DNA as a template, PCR was carried out in 30 μl reaction mixture containing 10× buffer (100 mM Tris-HCl, p H 8.3, 20 mM MgCl2, 500 mM KCl, 0.1% gelatin), 200 mM of dNTPs (dATP, dTTP, dGTP and dCTP), 10 pmol each of forward and reverse primers and 1.0 unit of Taq DNA polymerase enzyme (HiMedia) in a MJ-Research Thermo Cycler (PTC-200, Bio-Rad, USA). The PCR conditions included initial denaturation at 94°C for 5 min, followed by 35 cycles with each cycle consisting of denaturation at 94°C for 60 sec, annealing for 60 sec at an optimized temperature depending on the primer set used and extension at 72°C for 30 sec. The final extension was set at 72°C for 10 min.
|Table 2: Primers used for detection of different antibiotic resistance genes|
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Sequencing of antibiotic-resistant determinants: The amplified PCR products (antibiotic-resistant determinants) were purified using PCR Purification Kit (Qiagen, Hilden, Germany) according to the manufacturer's protocol and were outsourced for capillary sequencing. The obtained sequences were analyzed by BLAST (http://blast.ncbi.nlm.nih.gov) and antibiotic resistance genes database for their homology with the database sequences and the confirmed sequences were submitted to the GenBank.
| Results|| |
Five hundred and nineteen bacterial strains were isolated and identified to the genus level by conventional methods using a battery of biochemical tests. The details of the isolates identified from the different sources are given in [Table 3]. Molecular confirmation of E. coli, Vibrio spp. and Salmonella spp. was done by PCR using primers namely uidA for E. coli, invA and hns for Salmonella and 16S rRNA for Vibrio [Figure 1].
|Table 3: Total number of Gram-negative bacterial strains isolated from different non-human sources|
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|Figure 1: Gel-electrophoresis of PCR amplified products of Escherichia coli and Salmonella isolates. Lane1: 100 bp DNA ladder; lane 2: uidA gene-positive control (E. coli); lane 3: uidA gene-negative control (E. coli); lanes 4 & 5: uidA gene-positive E. coli isolates; lane 6: positive control for invA gene (Salmonella); lane 7: negative control for invA; lanes 8 & 9: invA gene-positive Salmonella isolates; lane 10: positive control for hns gene (Salmonella); lane 11: negative control for hns gene; lanes 12-13: hns gene-positive Salmonella spp. isolates.|
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Antimicrobial susceptibility test: Among the 519 isolates tested for antimicrobial susceptibility, only 31.6 per cent (164 isolates) showed susceptibility to all the antibiotics tested. While 68.4 per cent (355 isolates) were resistant to at least one of the antibiotics, 33.7 per cent (175 isolates) displayed multidrug resistance (resistance to more than one antibiotic). As shown in [Figure 2], maximum resistance was observed for ampicillin (225 isolates, 43.4%) followed by nitrofurantoin (108 isolates, 20.8%), nalidixic acid (71 isolates, 13.7%), cefotaxime (62 isolates, 11.9%), tetracycline (58 isolates, 11.2%), co-trimoxazole (38 isolates, 7.3%), ciprofloxacin (30 isolates, 5.8%), gentamicin and piperacillin/tazobactam (28 isolates, 5.4%), imipenem (18 isolates, 3.5%), meropenem (16 isolates, 3.1%) and chloramphenicol (15 isolates, 2.9%).
|Figure 2: Antibiotic resistance pattern of all isolates against 12 different antibiotics used in the study. NA, nalidixic acid; TE, tetracycline; COT, co-trimoxazole; CIP, ciprofloxacin; C, chloramphenicol; AMP, ampicillin; GEN, gentamicin; NIT, nitrofurantoin; MRP, meropenem; CTX, cefotaxime; PIT, piperacillin/tazobactum.|
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The drug resistance patterns of the isolates according to the source of collection are presented in [Figure 3]. Among isolates obtained from fishery products and environment samples, 47.5 per cent showed resistance to ampicillin and 18 per cent to nitrofurantoin, suggesting maximum resistance to these two antibiotics. Among isolates from livestock wastes, maximum resistance was observed for nitrofurantoin (33.6% of the isolates) followed by ampicillin (28.6% of the isolates) and tetracycline (22.7% of the isolates).
|Figure 3: Source-wise representation of antibiotic resistance pattern of the isolates to 12 antibiotics. Abbreviations are as given in Fig. 2.|
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Detection of antibiotic resistance genes: The antibiotic-resistant determinants associated with resistance were detected by PCR. Of the 58 isolates showing resistance to tetracycline, 45 (77.6%) harboured one or more than one tetracycline-resistant genes (tetA, tetB, tetC, tetD, tetE, tetG, tetM and tetS). Remaining 13 isolates did not carry any of the tet genes tested even though these were phenotypically resistant. Among 38 isolates resistant to co-trimoxazole, 12 (31.6%) harboured at least one of the sul genes (sul1, sul2, sul3) and the 26 isolates did not harbour any of the tested genes [Figure 4]. Two hundred and twenty five ampicillin-resistant isolates were tested for the presence of blaTEM, the gene responsible for the resistance. However, only eight isolates (3.6%) showed the presence of this gene. Of the 62 cefotaxime-resistant isolates, only five (8%) had the blaCTX-M gene conferring the resistance trait. Among the 15 isolates resistant to chloramphenicol, five (33.3%) carried one of the resistance genes (cat1, cat2 and cmlA), but none of these showed the presence of cat3, cmlB and floR [Figure 5]. Of the 71 nalidixic acid-resistant isolates, nine (12.7%) carried either qnrA, qnrB or qnrS.
|Figure 4: Detection of PCR amplified products of antibiotic resistance genes. Lane 1: 100 bp DNA ladder; lane 2: tetA (492 bp); lane 4: tetB (571 bp); lane 6: tetE (544 bp); lane 8: sul1 (425 bp); lane 10: sul2 (435 bp); lane 12: sul3 (792 bp); lane 14: 500 bp DNA ladder and lanes 3, 5, 7, 9, 11, 13: negative controls.|
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|Figure 5: Gel-electrophoresis of PCR amplified products of chloramphenicol-resistant isolates. Lane 1: 100 bp DNA ladder; lane 2: cat1 gene-positive control; lane 3: cat1 gene-negative control; lanes 4-5: cat1 gene-positive isolates; lane 6: positive control for cat2 gene; lane 7: negative control for cat2 gene; lanes 8-9: cat2 gene-positive isolates; lane 10: positive control for cmlA gene; lane 11: negative control for cmlA gene; lane 12-13: cmlA gene-positive isolates.|
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Further, sequencing of the PCR products of antibiotic resistance genes from representative isolates revealed 98 per cent identity with the existing antibiotic resistance gene sequences in the database. The GenBank accession numbers of these sequences are given in [Table 4].
|Table 4: List of antibiotic resistant gene sequences submitted to GenBank with accession number|
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| Discussion|| |
The results of antibiotic susceptibility test revealed that the number of isolates showing resistance to one or more antibiotics was on the rise, suggesting the high occurrence of antibiotic resistance in animal, wastewater, soil and other natural environments. Regardless of their source of isolation, resistance to three antibiotics, namely ampicillin, nitrofurantoin and tetracycline, was most frequently observed. Although ampicillin resistance was highest among all the antibiotics used.
It has been shown that isolates from fish and shrimp farms have widespread resistance to nitrofurantoin . In this study, approximately 20 per cent of the isolates showed resistance to nitrofurantoin. Similarly, 18 per cent of the isolates obtained from fish farms and related products showed resistance to this antibiotic, and the results were in agreement with that of an earlier study . The resistance to nitrofurantoin could be either due to the inhibition of nitrofurantoin reductase or due to the nucleotide changes (mutation) in nfs A and nfs B encoding oxygen-insensitive nitro reductase. Nitrofurantoin and its metabolites have zero tolerance in fishery products, and yet the high occurrence of resistance to nitrofurantoin observed in the study indicating the use of this antibiotic in aquaculture and other environments.
Resistance to tetracycline has been reported frequently from environmental samples . In the present study, 11.2 per cent of the isolates exhibited phenotypic resistance to tetracycline, which was consistent with earlier studies that reported tetracycline resistance in 15-56 per cent of the isolates . Resistance to tetracycline is more frequently observed in poultry isolates because it is widely used as growth promoters in poultry production . More than 60 per cent of poultry isolates showed resistance to tetracycline in this study.
Skockova et al had earlier reported that tetA and tetB were the most common genes responsible for resistance to tetracycline. In our study, 77 per cent of the phenotypically resistant isolates showed the presence of one or more tet genes. Although the remaining 23 per cent did not carry any of the tet genes tested in the study despite being phenotypically resistant, the resistance in such isolates could be due to other mechanisms such as enzymatic inactivation or target modification .
In this study, 7.3 per cent of the total isolates showed moderate resistance to co-trimoxazole. The sulphonamide resistance genes (sul1, sul2 and sul3) are known to be associated with class 1 integrons responsible for capturing and excision of genes during site-specific recombination events , which further facilitates the emergence of multidrug resistance among bacterial pathogens. Similar to the pattern seen for other antibiotics, the phenotypic and genotypic association was inconsistent for co-trimoxazole with only 31.6 per cent of the phenotypically confirmed isolates showing the presence of one of the three sul genes. The absence of sul in the remaining isolates suggests the possibility of some new genes or resistance mechanism to confer resistance to co-trimoxazole.
The antibiotic resistance pattern obtained for chloramphenicol in this study was low profile i.e.,2.9 per cent. The results of genotypic characterization showed inconsistency with 20 per cent carrying both type 1 and type 2 cat genes and 13.3 per cent harbouring cmlA. However, none of the isolates were positive for type 3 cat, cmlB and floR. The absence of resistance genes was observed in 33.3 per cent of the phenotypically resistant isolates, suggesting the possibility of other mechanism(s) such as overexpression of efflux pumps, mutations or modifications in the target sites or decreased outer membrane permeability contributing to chloramphenicol resistance ,.
The resistance to β-lactam group of antibiotics such as ampicillin, cefotaxime, imipenem, meropenem and piperacillin/tazobactam was also analyzed in this study. Except for ampicillin, which showed maximum resistance, the percentage of resistance was relatively less with 3.5 and 3.1 per cent of isolates showing resistance to imipenem and meropenem, respectively. In our study, 20 per cent of the isolates showed resistance to nalidixic acid and five per cent towards ciprofloxacin. The usual cause of resistance to quinolones is due to point mutation/mutations in the quinolone resistance determining regions (QRDR) or due to presence of active efflux or outer membrane permeability. In addition, the plasmid-mediated quinolone resistance (PMQR) has also been reported. In the present study, nalidixic acid- and ciprofloxacin-resistant isolates carried qnrA, qnrB and qnrS indicating that quinolone resistance was acquired through plasmid-mediated determinant. Although point mutations in the QRDR are the main reason for resistance to quinolone/fluoroquinolones, the occurrence of PMQR genes cannot be neglected since these play a major role in the transmission of resistance among bacterial isolates . The bacterial isolates showed similar pattern of resistance to cell wall synthesis inhibitors such as meropenem and imipenem. Although the susceptibility of the majority of the isolates to carbapenems was encouraging, the small percentage of resistance observed should be viewed seriously.
In conclusion, the results of this study on the pattern of resistance to antimicrobials in environmental samples highlighted the importance of continuous vigilance on the distribution of multidrug-resistant human pathogens in the environment. High rate of multidrug resistance among bacterial isolates from environmental samples suggested the indiscriminate use of antimicrobials in various sectors of animal husbandry. Judicious use of antibiotics, use of alternative bio-control approaches or development of pathogen-specific antimicrobial agents could help in combating antimicrobial resistance.
Financial support & sponsorship: Financial support received by the last author (IK) from the Indian Council of Medical Research (Grant no. AMR/37/2011-ECD-I), New Delhi, towards this study and the research fellowship to the first author (SKS) is acknowledged.
Conflicts of Interest: None.
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[Figure 1], [Figure 2], [Figure 3], [Figure 4], [Figure 5]
[Table 1], [Table 2], [Table 3], [Table 4]