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. Author manuscript; available in PMC: 2021 Oct 8.
Published in final edited form as: J Water Health. 2020 Oct;18(5):849–854. doi: 10.2166/wh.2020.065

Extended-spectrum beta-lactamase (ESBL)-positive Escherichia coli presence in urban aquatic environments in Kanpur, India

Ann Johnson 1, Olivia Ginn 2, Aaron Bivins 3, Lucas Rocha-Melogno 4, Sachchida Nand Tripathi 5, Joe Brown 6
PMCID: PMC8499688  NIHMSID: NIHMS1729221  PMID: 33095206

Abstract

In India, high rates of antibiotic consumption and poor sanitation infrastructure combine to pose a significant risk to the public through the environmental transmission of antimicrobial resistance (AMR). The WHO has declared extended-spectrum beta-lactamase (ESBL)-positive Escherichia coli a key indicator for the surveillance of AMR worldwide. In the current study, we measured the prevalence of AMR bacteria in an urban aquatic environment in India by detecting metabolically active ESBL-positive E. coli. Water samples were collected in duplicate from 16 representative environmental water sources including open canals, drains, and rivers around Kanpur, Uttar Pradesh. We detected culturable E. coli in environmental water at 11 (69%) of the sites. Out of the 11 sites that were positive for culturable E. coli, ESBL-producing E. coli was observed at 7 (64%). The prevalence of ESBL-producing E. coli detected in the urban aquatic environment suggests a threat of AMR bacteria to this region.

Keywords: antimicrobial resistance, fecal indicator, water quality

INTRODUCTION

Despite efforts to achieve access to safe water and sanitation through the Millennium Development Goals, poor sanitation infrastructure remains prevalent in India (Vedachalam & Riha 2015). In 2015, the Joint Monitoring Programme found that only 39.6% of India’s population had access to improved sanitation facilities (WHO/UNICEF 2015). Poor sanitation conditions expose the public to a heightened risk of exposure to fecal-contaminated drinking water, endangering the lives of vulnerable populations (Ezeh et al. 2017). Pit latrines and other sanitation facilities that may be available in these environments often contaminate groundwater, which can lead to the spread of wastewater contaminated with bacteria that has developed antimicrobial resistance (AMR) through communal water sources (Graham & Polizzotto 2013). India is at a particular risk of AMR as its population is among the highest consumers of antibiotics globally, with the consumption of 4,500 defined daily doses per 1,000 individuals in 2015 (Kumar et al. 2013; CDDEP 2015).

There are sparse data on environmental sources of antimicrobial resistance in low- and middle-income countries. Animal and sewage systems can act as environmental reservoirs of antimicrobial resistance, but the extent of this depends on how humans and the environment interact, which can vary much between countries (Gwenzi et al. 2018). The studies that do exist often characterize bacteria molecularly rather than phenotypically (Bajaj et al. 2016). Previous studies have demonstrated a discrepancy between results from phenotypic and molecular data, so characterizing bacteria phenotypically is vital to understand the spread of antimicrobial resistance (Lob et al. 2016).

The WHO has declared extended-spectrum beta-lactamase (ESBL)-producing Escherichia coli a key indicator for the surveillance of AMR worldwide (Matheu et al. 2017). ESBL-producing E. coli has been detected in hospital wastewater and in pig feces in India, so it is possible that the bacteria from hospitals and pig farming could be contaminating where people cook, do laundry, and live (Diwan et al. 2012; Nirupama et al. 2018; Puii et al. 2019). ESBL-resistant determinants were found in sewage water in Delhi, and it is unknown how far this resistance is spread throughout India (Gogry et al. 2019). In this study, we aimed to document the prevalence of ESBL-positive E. coli in environmental water sources along the Ganga River in Kanpur, in Northeast India. Wastewater is dumped untreated into the waterways of Kanpur so they are likely to be reservoirs of antimicrobial resistance (Zia & Devadas 2008). In this setting, pig farming is a common profession and often takes place close to people’s homes (Sanjukta et al. 2019). Although ESBL-producing E. coli has been studied in pig feces in this area, the prevalence of this resistant bacteria in the urban environment of Kanpur is unknown. We recognize that our dataset of 16 samples is not large, and are considering this study a pilot study to prepare for sampling in a larger spatial context. This study characterizes the presence of E. coli and ESBL-producing E. coli in environmental water throughout Kanpur, India.

METHODS

Sample collection

Water samples were collected near open drains, canals, and rivers in and around the city of Kanpur. Sampling locations were chosen by predetermining locations with moving water to maintain consistency across samples as the bacteria profile of stagnant water can be very different. All samples were collected from areas where people frequently gather to investigate the plausibility of human exposure.

Water samples were collected from 16 different locations around Kanpur, indicated in Figure 1. Samples were collected from March to April 2019. Two 100 mL samples of water were collected from each of the sites. The samples were collected in sterile plastic bags. A negative control sample was also collected where DI water was poured from a sterile container into a plastic bag at each site. The water samples were kept in portable coolers with ice to minimize further replication of microorganisms during sampling. The samples were processed in the laboratory within 2 hours of collection.

Figure 1 |.

Figure 1 |

Location of sampling sites in Kanpur, India.

E. coli culture growth and enumeration

The water samples were serially diluted up to 100-fold to achieve countable plates in the 30–300 coliform forming units (CFU) range. One mL of each dilution along with the field sampling negative control was pipetted onto its own Compact Dry EC plate (Hardy Diagnostics, Santa Maria, CA). After the water samples were plated, 1 mL of DI water was pipetted onto a separate Compact Dry EC plate as another negative control. Compact Dry EC plates were used because they allow E. coli to be distinguished from other coliforms using chromogenic enzyme substrates. These substrates allow E. coli colonies to turn blue and the other bacterial colonies to turn red (HyServe Compact Dry). The plates were incubated at 35 ± 2 °C for 24–30 hours and then the E. coli colonies were identified and enumerated.

ANTIMICROBIAL SUSCEPTIBILITY TESTING

E. coli ESBL pre-screening

After enumeration, a presumptive E. coli colony was selected from the Compact Dry plate and placed in a test tube with 0.11 g ± 0.02 g of Aquatest medium for growth, along with 10 μg (1μg/mL) of cefotaxime powder and 10 mL sterile water (Bain et al. 2015). Aquatest was used because it is a low-cost test that has been validated as highly sensitive and specific for detecting E. coli when compared to Colilert-18, Compact Dry, and MI agar (Franziska et al. 2019; Brown et al. 2020), which has been validated for culturing isolates for resistance testing. The solution turned pink to indicate the growth of metabolically-active of E. coli after 24 hours of incubation. This suggested the culture solution contained ESBL-producing E. coli, and these pink culture solutions were streaked on disk diffusion plates to further confirm the presence of ESBL-producing E. coli.

DISK DIFFUSION

Following pre-screening, ESBL-producing E. coli were confirmed by the Clinical Laboratory Standards Institute (CLSI) modified confirmatory test for phenotypic detection of ESBLs (Poulou et al. 2014). This updated test has a sensitivity of 97.5% and a specificity of 100% for detecting ESBLs in Enterobacteriaceae even in the presence of other types of β-lactam resistance.

This test uses the disk diffusion technique with a combination of cefotaxime (CTX) and ceftazidime (CAZ) with and without the presence of clavulanic acid (CA). Cefotaxime and ceftazidime were used because they are both antibiotics of the class cephalosporin, each of which demonstrates enhanced activity in the presence of CA (Rawat & Nair 2010). Therefore, the difference in the size of the growth-inhibitory zone with and without CA can be used to determine if ESBL-producing E. coli is present. Boronic acid was used to inhibit AmpCs and Klebsiella pneumoniae carbapenemases (KPCs), which may otherwise be detected as ESBLs. Ethylenediaminetetraacetic acid (EDTA) was used to inhibit metallo-β-lactamases (MBLs) which also may mask the presence of ESBL.

The Muller-Hinton agar plates were prepared and autoclaved with the sampling solution. Stock EDTA and BA solutions were prepared in advance of sampling and refrigerated. The EDTA solution had a concentration of 0.1 MEDTA and the BA solution was made by dissolving phenylboronic acid at a concentration of 40 mg/ml. Ten μl of the 0.1 MEDTA and 10 μl of the BA solution were dispensed onto each antibiotic disk, CTX (30 μg) and CAZ (30 μg) with or without CA (10 μg) were also added. Then the plates were inoculated with the solution where ESBL-producing E. coli was detected with the color change of the Aquatest medium. The four antibiotic disks were pressed into equally divided slices around the plate. After inoculation with presumptive ESBL-producing E. coli from the Aquatest broth, the plates were incubated for 18 hours at 37 °C.

If the growth-inhibitory zone diameter for either CTX or CAZ where CA was present were ≥5 mm larger than the corresponding growth-inhibitory zone without CA, the sample was deemed positive for ESBL production (Poulou et al. 2014).

RESULTS

E. coli quantities measured in the water samples ranged from undetectable to 1.4 × 107 CFU/100 mL (median: 4.2 × 105 CFU/100 mL), as shown in Table 1. From the sites sampled (n = 16), 69% contained culturable E. coli. Out of the sites that contained detectable E. coli, ESBL-producing E. coli was found at 64%.

Table 1 |.

Average CFU/mL of E. coli across 16 sites in Kanpur, India

Site ID ESBL-producing E. coli Average E. coll CFU/100 mL

S1 X 1.4 × 107
S2 X 1.4 × 107
S3 ND
S4 4.2 × 105
S5 ND
S6 8.0 × 106
S7 X 1.2 × 105
S8 X 6.2 × 106
S9 X 1.9 × 106
S10 5.5 × 106
S11 X 1.1 × 107
S12 ND
S13 9.0 × 104
S14 ND
S15 X 2.8 × 105
S16 ND

Samples were collected in duplicate from the sites and averaged. ND stands for no detected colonies. The negative control collected at each site had no detected colonies. The negative controls from water in the laboratory had no detected colonies.

DISCUSSION

The water tested in this study is generally not used as daily drinking water, but it is sometimes consumed as part of a religious ritual, particularly the water sampled from the Ganga and its tributaries, or out of necessity. E. coli counts in seven of the canals tested, all of which run uncovered through communities, were greater, and in three of them an order of magnitude greater, than the average estimated E. coli count of 1.5 × 106 CFU/100 mL from a study of untreated wastewater in Canada (Payment et al. 2001). Three of the canals tested in Kanpur had greater E. coli counts than the estimated E. coli count of 1.05 × 107 CFU/100 mL in untreated wastewater in South Africa (Teklehaimanot et al. 2014), and two had greater E. coli counts than the estimated E. coli count of 1.35 × 107 CFU/100 mL in untreated wastewater in Portugal (Da Costa et al. 2008). The concentrations of bacteria found in the canals studied suggests that the people living around them may be at risk of illness due to potential exposure.

The cluster of ESBL-producing E. coli sites around the Ganga and its tributaries, as shown in Figure 2, indicates that this heavily trafficked waterway is likely to harbor and contribute to the spread of AMR bacteria. The most comparable urban aquatic study in India is a study that was conducted along the Yamuna River in Delhi (Bajaj et al. 2016). Sixteen percent of the E. coli strains they analyzed were ESBL-producing E. coli. This is not a direct comparison to the samples collected in this study as the Yamuna study used molecular and not phenotypical analysis. However, the differences in the proportion of samples with ESBL-producing E. coli detected in the Yamuna River versus the Ganga are striking, because the Yamuna River exists in a similarly highly populated region surrounded by poor sanitation facilities. Potentially, this supports the hypothesis that specific regional factors to Kanpur, such as the heavy concentration of swine farming in the area, led to a higher proportion of ESBL-producing E. coli. Elucidating the source of this environmental contamination and preventing it is essential for stopping the spread of AMR.

Figure 2 |.

Figure 2 |

Map displaying the average E. coli CFU/100 mL and ESBL-positive E. coli presence.

CONCLUSIONS

This study detected surprisingly high proportions of ESBL-producing E. coli in an urban aquatic environment in India. Because ESBL-producing E. coli is a key indicator for the surveillance of AMR worldwide, the high prevalence of these bacteria in India suggests a threat of AMR in this region.

HIGHLIGHTS.

  • This study provides further information for the understanding of WASH and the environmental transmission of AMR.

  • This study provides data useful for motivating studies of environmental transmission of AMR.

  • This study characterized the threat of AMR bacteria to Kanpur, India.

ACKNOWLEDGEMENTS

AJ was supported by a Fulbright-Nehru Fellowship jointly funded by the United States Department of State and the Republic of India. This material is partly based upon work supported by the National Science Foundation under grant number 1653226. Funding organizations were not involved in the planning or execution of this study.

Contributor Information

Ann Johnson, Yale School of Medicine, 333 Cedar Street, New Haven, CT, 06510, USA.

Olivia Ginn, School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA.

Aaron Bivins, Department of Civil & Environmental Engineering & Earth Sciences, University of Notre Dame, 156 Fitzpatrick Hall, Notre Dame, IN 46556, USA.

Lucas Rocha-Melogno, Department of Civil and Environmental Engineering, Duke University, Durham, NC, 27708, USA.

Sachchida Nand Tripathi, Department of Civil Engineering, Indian Institute of Technology Kanpur, Kanpur, 208016, India.

Joe Brown, Environmental Engineering, Georgia Institute of Technology, Ford Environmental Science and Technology Building, 311 Ferst Drive, Atlanta, GA 30332 USA.

DATA AVAILABILITY STATEMENT

All relevant data are included in the paper or its Supplementary Information.

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Associated Data

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Data Availability Statement

All relevant data are included in the paper or its Supplementary Information.

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