Abstract
The extended-spectrum β-lactamase (ESBL)-producing Escherichia coli is becoming a global public health concern. More comprehensive surveillance of β-lactam resistance in E. coli would improve monitoring strategies and control resistance transmission in contaminated environments. This study investigated the prevalence of β-lactamase genes in E. coli isolated from the Seven Crater Lakes in San Pablo, Laguna, Philippines. Water samples from lakes were collected for the isolation of E. coli (n = 846) and molecular characterization by detecting the presence of the uidA gene. The isolates were then tested for the presence of β-lactamase genes using PCR. Among the screened genes, blaAmpC was the most dominant (91%). Other β-lactamase genes such as blaTEM, blaSHV, and blaCTXM were also detected with percentage occurrence of 34, 5, and 1%, respectively. Multiple genes within individual isolates were also observed, wherein blaTEM/AmpC was the most prevalent gene combination. Moreover, a significant negative correlation between blaAmpC with blaSHV and blaCTXM was depicted in this study. Overall, these findings demonstrate the presence of β-lactamase genes in E. coli in the Seven Crater Lakes of San Pablo and can be used in developing effective strategies to control antibiotic resistance in environmental waters.
HIGHLIGHTS
blaAmpC was the predominant gene detected among the five screened β-lactamase genes.
A significant association was detected between blaAmpC with blaSHV and blaCTXM.
blaKPC was not detected in any E. coli isolates from the lakes.
Seasonal variations have an effect on the fecal coliform counts and occurrence of β-lactamase-resistant E. coli isolates.
INTRODUCTION
The emergence of antibiotic resistance creates a major threat to animals, people, and the environment (Walsh & Duffy 2013; Zhu et al. 2019). Mutations that confer antibiotic resistance can be transmitted vertically and through horizontal gene transfer using mobile genetic elements such as plasmids and transposons (Fletcher 2015). Microbial contaminants can be transferred into various environments by agricultural practices, wastewater effluents, soil erosion, soil leaching, and groundwater contamination (Yavuz Corapcioglu & Haridas 1985). Animal wastes, a reservoir of these bacteria, can also contribute to the transmission. These antibiotic-resistant bacteria can infect or be ingested by humans and animals, which spread among them through food and the environment. Other factors independent of human activities, like nutrient concentration, heavy metal concentration, and other environmental parameters, may also contribute to the presence of antibiotic resistance genes (ARGs) (Chen et al. 2019; Cycoń et al. 2019; Song et al. 2020).
In recent years, antibiotic-resistant Escherichia coli, specifically extended-spectrum β-lactamase (ESBL)–producing E. coli, has gained attention and is now considered a serious threat to human health (World Health Organization 2017). ESBLs are β-lactamases with an extended action range formed from mutations or passed through horizontal gene transfer. They are present in various classes, like TEM, SHV, and CTXM, which occasionally show a moderately low homology and are resistant against cephalosporin (Paterson & Bonomo 2005). Other classes of β-lactamases include AmpC and Klebsiella pneumoniae carbapenemase, which mostly confer resistance against penicillin and carbapenem, respectively (Thomson 2010). All these enzymes are generally plasmid-coded and hence more effectively transmissible. They can hydrolyze β-lactam antibiotics, thereby bringing protection and resistance against them (Reinthaler et al. 2010). β-lactamase-producing E. coli may have adapted the genes for this trait mainly due to the simplicity of their transmission among humans and animals through the fecal–oral route and their ability to live inside the intestines of their hosts, allowing their close interaction with other microorganisms behaving as either donor or recipient of resistant genes to adjacent bacteria (Poirel et al. 2018).
Laguna has been considered a rapidly urbanizing province in the Philippines. With this, green spaces encompassing the province are exposed to land usage, bringing about numerous environmental problems, including solid waste and microbial contamination (Quintal et al. 2018). The Seven Crater Lakes in San Pablo, Laguna, namely Bunot, Calibato, Mohicap, Palakpakin, Pandin, Sampaloc, and Yambo, have comparable issues. These lakes supply locals with food, sustenance, transportation, and recreation, and are important in agriculture and aquaculture (Paller et al. 2021). Previous studies have revealed microbial contamination in these freshwater bodies. An investigation from Gacad & Briones (2020) showed the presence of pathogenic bacteria Aeromonas veronii and Plesiomonas shigelloides in Sampaloc Lake. Moreover, waterborne protozoan pathogens, like Acanthamoeba spp., Cryptosporidium spp., and Giardia spp., were also detected in these lakes (Ballares et al. 2020; Masangkay et al. 2020). Although the lakes are consistently being monitored by the Laguna Lake Development Agency (LLDA), little is known about the presence of E. coli-harboring β-lactamase genes in these lakes.
Representative genes of β-lactamases, namely, blaCTXM, blaTEM, blaSHV,blaAmpC, and blaKPC, were utilized to examine the resistance gene patterns of E. coli isolates across water samples in San Pablo's seven lakes. Specifically, the study aimed to determine the genotypic profile of E. coli-harboring β-lactamase genes, display the gene patterns, determine the association between these genes, and evaluate correlation between environmental factors and gene frequencies. Accordingly, this investigation could address information gaps in improving regulation and guidelines and giving human implications like expanding public awareness and anticipating serious risks of infections.
MATERIALS AND METHODS
Study site and sample collection
Sites . | Coordinates . | Number of confirmed E. coli isolates . | |||
---|---|---|---|---|---|
Latitude . | Longitude . | Wet . | Dry . | Total . | |
Bunot | 14.080667 | 121.341417 | 36 | 77 | 113 |
Calibato | 14.105503 | 121.376239 | 94 | 63 | 157 |
Mohicap | 14.122822 | 121.334401 | 18 | 112 | 130 |
Palakpakin | 14.111667 | 121.337778 | 59 | 53 | 112 |
Pandin | 14.113878 | 121.366912 | 45 | 37 | 82 |
Sampaloc | 14.079058 | 121.333634 | 78 | 100 | 178 |
Yambo | 14.079058 | 121.333634 | 31 | 43 | 74 |
Total | 361 | 485 | 846 |
Sites . | Coordinates . | Number of confirmed E. coli isolates . | |||
---|---|---|---|---|---|
Latitude . | Longitude . | Wet . | Dry . | Total . | |
Bunot | 14.080667 | 121.341417 | 36 | 77 | 113 |
Calibato | 14.105503 | 121.376239 | 94 | 63 | 157 |
Mohicap | 14.122822 | 121.334401 | 18 | 112 | 130 |
Palakpakin | 14.111667 | 121.337778 | 59 | 53 | 112 |
Pandin | 14.113878 | 121.366912 | 45 | 37 | 82 |
Sampaloc | 14.079058 | 121.333634 | 78 | 100 | 178 |
Yambo | 14.079058 | 121.333634 | 31 | 43 | 74 |
Total | 361 | 485 | 846 |
Isolation and identification of thermotolerant Escherichia coli
Five milliliters of the water sample were serially diluted from 10−1 to 10−5 in a 45-mL 0.9% sodium chloride solution before filtering through a membrane filter (0.45 μm pore size; Pall Corp., USA) using a vacuum pump. These were done in triplicates. The membranes were then placed on membrane-thermotolerant E. coli (mTEC; TM Media) agar, incubated at 37°C for 2 h, and then transferred to 44.5 °C for 18–24-h incubation. Yellow colonies, presumed as E. coli, were then picked and confirmed on eosin methylene blue agar (EMBA; BD BBL, USA) plates and incubated at 35 °C for 24 h. Dark blue to purple colonies with metallic green sheen were confirmed E. coli isolates and then subjected to streaking for purification and further molecular confirmation. Isolates were stored at −21 °C in tryptic soy broth (TSB; BD BBL, USA) with 20% (v/v) glycerol.
For molecular confirmation, selected E. coli isolates were inoculated into 1 mL TSB and were then incubated at 37 °C for 18–24 h. The DNA of E. coli isolates was extracted using the boil-lysis method (Garcia et al. 2015). A PCR assay was used to detect the 75-bp uidA gene (i.e., β-glucuronidase gene) in all extracts using the primers ECN1254F (5′-GCAAGGTGCACGGGAATATT-3′) and ECN1328R (5′-CAGGTGATCGGACGCGT-3′) (Labrador et al. 2020). The reaction mixture consisted of 1X GoTaq® Green Master Mix (Promega, USA), 0.5 μM each of forward and reverse primers, 1 μL DNA template, and nuclease-free water for a total volume of 10 μL. The PCR for confirmation of E. coli was performed using the method of Takahashi et al. (2009) with initial denaturation at 98 °C for 2 min, followed by 35 cycles of denaturation at 95 °C for 30 s, annealing at 63 °C for 1 min, extension at 72 °C for 1 min, and one cycle of final extension at 72 °C for 5 min. A no-template control was included in every run. Isolates with amplicons that met the expected band size were selected to detect ARGs. The number of confirmed E. coli isolates per lake and season is shown in Table 1.
Detection of ARGs
PCR multiplex assay was used to determine the presence of three β-lactam ARGs, namely, blaCTXM,blaTEM, and blaSHV, while a singleplex assay was utilized for blaAmpC and blaKPC in all confirmed 846 thermotolerant E. coli. The reaction mixture components and PCR conditions for each assay were adapted from Monstein et al. (2007) for the multiplex assay, Feria et al. (2002) for blaAmpC, and Poirel et al. (2011) for blaKPC detection. The identity of the PCR amplicons generated using primers blaCTXM,blaTEM, and blaSHV was already confirmed through DNA sequencing by Monstein et al. (2007), while amplicons from blaAmpC and blaKPC were also validated by Feria et al. (2002) and Naas et al. (2005), respectively.
Table 2 summarizes the primer sequences and corresponding amplicon sizes for each gene. Positive and no-template controls were employed in all runs. Amplicons were then characterized using agarose gel electrophoresis. The 100-bp DNA ladder (Hyperladder™ Bioline), controls, and the amplicons were loaded into 1.5% (w/v) agarose gel stained with SYBR® Safe DNA gel stain (Invitrogen, USA). The loaded samples were subjected to an electrophoresis system containing 1× TAE buffer at 280 V for 30 min. The resulting DNA bands were then viewed under UV illumination (Bio-Print ST4, Vilber Lourmat, UK).
Target gene . | Primer sequence . | Amplicon (bp) . | Positive control . | References . |
---|---|---|---|---|
blaTEM | TCGCCGCATACACTATTCTCAGAATGA ACGCTCACCGGCTCCAGATTTAT | 445 | Salmonella sp. | Monstein et al. (2007) |
blaCTXM | ATGTGCAGYACCAGTAARGTKATGGC TGGGTRAARTARGTSACCAGAAYCAGC | 593 | ||
blaSHV | ATGCGTTATATTCGCCTGTG TGCTTTGTTATTCGGGCCAA | 745 | Klebsiella pneumoniae | |
blaAmpC | CCCCGCTTATAGAGCAACAA TCAATGGTCGACTTCACACC | 634 | E. coli | Feria et al. (2002) |
blaKPC | CGTCTAGTTCTGCTGTCTTG CTTGTCATCCTTGTTAGGCG | 798 | K. pneumoniae | Poirel et al. (2011) |
Target gene . | Primer sequence . | Amplicon (bp) . | Positive control . | References . |
---|---|---|---|---|
blaTEM | TCGCCGCATACACTATTCTCAGAATGA ACGCTCACCGGCTCCAGATTTAT | 445 | Salmonella sp. | Monstein et al. (2007) |
blaCTXM | ATGTGCAGYACCAGTAARGTKATGGC TGGGTRAARTARGTSACCAGAAYCAGC | 593 | ||
blaSHV | ATGCGTTATATTCGCCTGTG TGCTTTGTTATTCGGGCCAA | 745 | Klebsiella pneumoniae | |
blaAmpC | CCCCGCTTATAGAGCAACAA TCAATGGTCGACTTCACACC | 634 | E. coli | Feria et al. (2002) |
blaKPC | CGTCTAGTTCTGCTGTCTTG CTTGTCATCCTTGTTAGGCG | 798 | K. pneumoniae | Poirel et al. (2011) |
Data analyses
All statistical analyses were conducted using R v 4.1.3 (R Core Team 2022). Spearman's rank correlation test was used to test for association across β-lactamase gene resistance of E. coli isolates as well as to examine the correlation between environmental parameters and frequency of E. coli-harboring β-lactamase resistance genes. Meanwhile, the UpsetR package was applied to visualize intersections and patterns in the number of isolates with associated β-lactamase genes (Gehlenborg 2019). Finally, the Wilcoxon rank sum test was utilized to determine significant differences between seasons in terms of the frequency of E. coli isolates and water quality parameters in seven lakes.
RESULTS
Environmental parameters of San Pablo Lakes
As shown in Table 3, water quality parameters such as pH, total suspended solids (TSS), biochemical oxygen demand (BOD), dissolved oxygen (DO), ammonia, nitrate, inorganic phosphate, temperature, and fecal coliform counts were measured using different analyses (Supplementary material, Table S1). Unfortunately, not all environmental parameters of the lakes tested met the water parameter guidelines classification C by the Department of Environment and Natural Resources (DENR) (Supplementary material, Table S1).
Season . | Site . | pH . | TSS (mg/L) . | BOD (mg/L) . | DO (mg/L) . | Ammonia (mg/L) . | Nitrate (mg/L) . | Inorganic phosphate (mg/L) . | Temperature (°C) . | Fecal coliform (MPN/100 mL)a . |
---|---|---|---|---|---|---|---|---|---|---|
Dry | Bunot | 7.3 | 3 | 5 | 5.6 | 2.05 | 0.05 | 0.9 | 26 | 330 |
Calibato | 7.1 | 6 | 5 | 9.7 | 1.44 | 0.12 | 0.94 | 28 | 110 | |
Mohicap | 7.3 | 3 | 7 | 4.6 | 1 | 0.36 | 1.47 | 29 | 45 | |
Palakpakin | 7.4 | 2 | 4 | 5 | 0.17 | 0.46 | 0.35 | 28 | 20 | |
Pandin | 7.5 | 4 | 1 | 7.4 | 0.04 | 0.05 | 0.03 | 27 | 40 | |
Sampaloc | 7.3 | 9 | 3 | 5.9 | 0.99 | 0.31 | 1.5 | 29 | 490 | |
Yambo | 7.5 | 2 | 0.5 | 7.4 | 0.03 | 0.05 | 0.02 | 29 | 330 | |
Wet | Bunot | 7.2 | 7 | 6 | 8.2 | 2.1 | 0.03 | 0.5 | 27 | 300 |
Calibato | 7.1 | 2 | 9 | 10.4 | 2.05 | 0.32 | 0.74 | 29 | 78 | |
Mohicap | 7.2 | 7 | 8 | 7.2 | 2.19 | 0.03 | 0.54 | 30 | 45 | |
Palakpakin | 7.5 | 6 | 3 | 3.2 | 0.25 | 0.19 | 0.28 | 29 | 260 | |
Pandin | 7.2 | 1 | 2 | 7.6 | 0.005 | 0.05 | 0.04 | 28 | 140 | |
Sampaloc | 7.5 | 3 | 6 | 9 | 1 | 0.18 | 1.46 | 30 | 1,700 | |
Yambo | 7.5 | 2 | 0.5 | 7.4 | 0.03 | 0.05 | 0.02 | 29 | 330 |
Season . | Site . | pH . | TSS (mg/L) . | BOD (mg/L) . | DO (mg/L) . | Ammonia (mg/L) . | Nitrate (mg/L) . | Inorganic phosphate (mg/L) . | Temperature (°C) . | Fecal coliform (MPN/100 mL)a . |
---|---|---|---|---|---|---|---|---|---|---|
Dry | Bunot | 7.3 | 3 | 5 | 5.6 | 2.05 | 0.05 | 0.9 | 26 | 330 |
Calibato | 7.1 | 6 | 5 | 9.7 | 1.44 | 0.12 | 0.94 | 28 | 110 | |
Mohicap | 7.3 | 3 | 7 | 4.6 | 1 | 0.36 | 1.47 | 29 | 45 | |
Palakpakin | 7.4 | 2 | 4 | 5 | 0.17 | 0.46 | 0.35 | 28 | 20 | |
Pandin | 7.5 | 4 | 1 | 7.4 | 0.04 | 0.05 | 0.03 | 27 | 40 | |
Sampaloc | 7.3 | 9 | 3 | 5.9 | 0.99 | 0.31 | 1.5 | 29 | 490 | |
Yambo | 7.5 | 2 | 0.5 | 7.4 | 0.03 | 0.05 | 0.02 | 29 | 330 | |
Wet | Bunot | 7.2 | 7 | 6 | 8.2 | 2.1 | 0.03 | 0.5 | 27 | 300 |
Calibato | 7.1 | 2 | 9 | 10.4 | 2.05 | 0.32 | 0.74 | 29 | 78 | |
Mohicap | 7.2 | 7 | 8 | 7.2 | 2.19 | 0.03 | 0.54 | 30 | 45 | |
Palakpakin | 7.5 | 6 | 3 | 3.2 | 0.25 | 0.19 | 0.28 | 29 | 260 | |
Pandin | 7.2 | 1 | 2 | 7.6 | 0.005 | 0.05 | 0.04 | 28 | 140 | |
Sampaloc | 7.5 | 3 | 6 | 9 | 1 | 0.18 | 1.46 | 30 | 1,700 | |
Yambo | 7.5 | 2 | 0.5 | 7.4 | 0.03 | 0.05 | 0.02 | 29 | 330 |
aComparison of parameters between two seasons was done with the Wilcoxon rank sum test (p value ≤ 0.05).
Bolded values signify values that were higher than the environmental guidelines.
Inorganic phosphate at Bunot in the dry season and Calibato, Mohicap, and Sampaloc in both seasons have higher values as compared to the standard upper limit of 0.5 mg/L. Lakes Calibato and Mohicap in the wet season also exceeded the upper limit value for BOD, which is 7 mg/L. Except for lakes Pandin and Yambo, the ammonia levels for other lakes exceeded the upper limit value, which is 0.05 mg/L. It must also be noted that Lake Mohicap in the dry season and Palakpakin during the wet season were below the lower limit value of DO, which is 5 mg/L. Moreover, fecal coliform at Palakpakin in the wet season as well as Bunot, Sampaloc, and Yambo in both seasons also did not meet the standard values. These suggest that chemical and fecal pollution occurs in some lakes. Pandin Lake, which is considered the most pristine among all lakes, is the only site that passed all the standard water quality guidelines in both seasons.
Wilcoxon rank sum test was utilized to find out if there is significant difference between the sites and seasons in terms of the environmental parameters. The results showed no significant difference between sites; however, a statistically significant difference in fecal coliform counts between dry and wet seasons was observed (p = 0.046) suggesting that a higher level of fecal pollution occurs during the wet season.
BlaAmpc is the predominant β-lactamase gene detected
The presence of five molecular determinants was tested on all E. coli isolates. Of the 846 isolates, 93% (336/361) and 90% (435/485) of the isolates harbored blaAmpC during wet and dry seasons, respectively, showing the highest percent occurrence among the screened β-lactamase genes. This was followed by blaTEM-producing E. coli isolates with a percent occurrence of 35% (126/361) during the wet season and 33% (162/485) during the dry season. Both genes have representative E. coli isolates in each lake over the two seasons. Meanwhile, blaSHV was not detected in the isolates in Calibato Lake but was highest in Pandin with a 17% occurrence. Conversely, isolates with blaAmpC have the lowest percent occurrence of 84% in Pandin Lake. Furthermore, blaCTXM in E. coli isolates was detected in Palakpakin and Sampaloc during the dry season only, while no blaKPC was detected in all isolates during both seasons (Table 4). As no blaKPC was detected in the isolates, this gene was excluded in the succeeding analyses. Using the Wilcoxon rank sum test, a significant difference (p = 3.34 × 10−10) was observed between the two seasons, with the wet season having a higher frequency of β-lactamase-harboring E. coli isolates than the dry season. This suggests that the type of season significantly affects the occurrence of these isolates.
Site . | Number (%) of β-lactamase gene-harboring E. coli isolates . | ||||
---|---|---|---|---|---|
blaTEM . | blaCTXM . | blaSHV . | blaAmpC . | blaKPC . | |
Bunot (n = 113) | 39 (35%) | 0 (0) | 4 (5%) | 104 (92%) | 0 (0) |
Calibato (n = 157) | 83 (53%) | 0 (0) | 0 (0) | 145 (92%) | 0 (0) |
Mohicap (n = 130) | 58 (45%) | 0 (0) | 7 (5%) | 120 (92%) | 0 (0) |
Palakpakin (n = 112) | 39 (35%) | 3 (3%) | 4 (4%) | 102 (91%) | 0 (0) |
Pandin (n = 82) | 22 (27%) | 0 (0) | 14 (17%) | 69 (84%) | 0 (0) |
Sampaloc (n = 178) | 31 (17%) | 2 (1%) | 6 (3%) | 160 (90%) | 0 (0) |
Yambo (n = 74) | 16 (22%) | 0 (0) | 1 (1%) | 71 (96%) | 0 (0) |
Seasonsa | |||||
Wet (n = 361) | 126 (35%) | 0 (0) | 12 (3%) | 336 (93%) | 0 (0) |
Dry (n = 485) | 162 (33%) | 5 (1%) | 24 (5%) | 435 (90%) | 0 (0) |
Total (n = 846) | 288 (34%) | 5 (1%) | 36 (4%) | 771 (91%) | 0 (0) |
Site . | Number (%) of β-lactamase gene-harboring E. coli isolates . | ||||
---|---|---|---|---|---|
blaTEM . | blaCTXM . | blaSHV . | blaAmpC . | blaKPC . | |
Bunot (n = 113) | 39 (35%) | 0 (0) | 4 (5%) | 104 (92%) | 0 (0) |
Calibato (n = 157) | 83 (53%) | 0 (0) | 0 (0) | 145 (92%) | 0 (0) |
Mohicap (n = 130) | 58 (45%) | 0 (0) | 7 (5%) | 120 (92%) | 0 (0) |
Palakpakin (n = 112) | 39 (35%) | 3 (3%) | 4 (4%) | 102 (91%) | 0 (0) |
Pandin (n = 82) | 22 (27%) | 0 (0) | 14 (17%) | 69 (84%) | 0 (0) |
Sampaloc (n = 178) | 31 (17%) | 2 (1%) | 6 (3%) | 160 (90%) | 0 (0) |
Yambo (n = 74) | 16 (22%) | 0 (0) | 1 (1%) | 71 (96%) | 0 (0) |
Seasonsa | |||||
Wet (n = 361) | 126 (35%) | 0 (0) | 12 (3%) | 336 (93%) | 0 (0) |
Dry (n = 485) | 162 (33%) | 5 (1%) | 24 (5%) | 435 (90%) | 0 (0) |
Total (n = 846) | 288 (34%) | 5 (1%) | 36 (4%) | 771 (91%) | 0 (0) |
aComparison of frequencies between two seasons was done with the Wilcoxon rank sum test (p value ≤ 0.05).
Association between β-lactamase genes in E. coli isolates
To determine correlations between E. coli-harboring β-lactamase genes, Spearman's rank correlation test was utilized (Table 5). Significant associations were displayed between blaAmpC and blaCTXM (p = 0.014), including blaAmpC and blaSHV (p = 1.07 × 10−7). Specifically, these genes have a negative correlation as displayed by their negative rho values. This indicates that for a large number of isolates harboring blaAmpC, few isolates of blaCTXM and blaSHV have been observed. Additionally, blaSHV-blaCTXM, blaTEM-blaCTXM, and blaTEM-blaSHV were negatively correlated but were not statistically significant. Moreover, although no significant association was displayed between blaTEM and blaAmpC, it is notable that they are positively correlated.
. | blaTEM . | blaCTXM . | blaSHV . | blaAmpC . |
---|---|---|---|---|
blaTEM | – | |||
blaCTXM | −0.055 | – | ||
blaSHV | −0.028 | −0.016 | – | |
blaAmpC | 0.022 | −0.085* | −0.18* | – |
. | blaTEM . | blaCTXM . | blaSHV . | blaAmpC . |
---|---|---|---|---|
blaTEM | – | |||
blaCTXM | −0.055 | – | ||
blaSHV | −0.028 | −0.016 | – | |
blaAmpC | 0.022 | −0.085* | −0.18* | – |
*Significant at p ≤ 0.05.
Correlation between gene frequency and water quality parameters
Spearman's rank correlation test was also used to examine correlations between β-lactamase gene frequencies and environmental parameters (Table 6). The results displayed that the pH, TSS, BOD, DO, ammonia, inorganic phosphate, temperature, and fecal coliform did not show any significant correlation with the occurrence of isolates harboring β-lactamase genes. However, nitrate showed a significant correlation with the frequency of these resistant isolates (p = 0.038).
Parameters . | Frequency of β-lactamase-harboring E. coli isolates . |
---|---|
pH | 0.036 |
TSS (mg/L) | 0.036 |
BOD (mg/L) | −0.036 |
DO (mg/L) | −0.39 |
Ammonia (mg/L) | −0.36 |
Nitrate (mg/L) | 0.13* |
Inorganic phosphate (mg/L) | −0.11 |
Temperature(°C) | −0.16 |
Fecal coliform (MPN/100 mL) | −0.57 |
Parameters . | Frequency of β-lactamase-harboring E. coli isolates . |
---|---|
pH | 0.036 |
TSS (mg/L) | 0.036 |
BOD (mg/L) | −0.036 |
DO (mg/L) | −0.39 |
Ammonia (mg/L) | −0.36 |
Nitrate (mg/L) | 0.13* |
Inorganic phosphate (mg/L) | −0.11 |
Temperature(°C) | −0.16 |
Fecal coliform (MPN/100 mL) | −0.57 |
*Significant at p ≤ 0.05.
DISCUSSION
Environmental waters, such as rivers and lakes, are utilized for commercial transport, waste disposal, livelihood, and recreation. These are also surrounded by urban lands that often undergo industrialization or agricultural farms that can greatly affect the waters' structure, functionality, and quality (Loucks & van Beek 2017). Due to this frequent land use change, agricultural and urban land use have associated these water bodies with antibiotic resistance transmission and reservoirs (Nnadozie & Odume 2019; Xu et al. 2020; Salvador-Membreve & Rivera 2021). β-lactamase-producing E. coli has gained attention worldwide due to its public health threat and is recognized as one of the multidrug-resistant bacteria associated with serious infections (World Health Organization 2017). Thus, understanding the role and increasing the information of β-lactamase genes through surveillance and profiling is necessary for management efforts in these systems. In this study, E. coli isolates from the Seven Crater Lakes of San Pablo were characterized for their presence of β-lactamase genes to determine the extent of threat of these genes in the contaminated water body.
Organic, inorganic, and fecal pollution were observed in most lakes of San Pablo. Specifically, ammonia displayed high levels in all lakes except for Pandin and Yambo, while inorganic phosphate levels were higher in lakes Bunot, Calibato, Mohicap, and Sampaloc for both seasons. The data suggest that lakes Pandin and Yambo are oligotrophic, which could be due to good management and development plans of the lakes for recreational purposes. The results also displayed a significantly higher influx of fecal coliform during the wet season. A greater amount of rainfall increases fecal coliform counts due to the pollution brought by surface runoff. The study of Hernandez et al. (2020) and Hill et al. (2006) also depicted a higher total coliform count in the wet than in the dry season as fecal pollutants are being washed into the environmental waters by the rain. Except for BOD, DO, ammonia, inorganic phosphate, and fecal coliform, other environmental parameters measured in the study, such as pH, TSS, nitrate, and temperature, satisfy the water quality guidelines of the DENR.
In this study, 846 E. coli isolates have been detected from the Seven Lakes of San Pablo. The highest percent occurrence of ARGs detected was 91%, attributed to the isolates possessing blaAmpC, followed by those with blaTEM (34%), blaSHV (4%), and blaCTXM (1%). It is also noteworthy that blaCTXM was only detected in five isolates from Palakpakin and Sampaloc Lake during the dry season. It is possible that blaCTXM was more spatially variable in the dry than in the wet season, and the proximity of wastes from domestic houses and establishments surrounding the lake can be a factor for this occurrence (Knapp et al. 2012). The gene blaSHV has the highest frequency in E. coli detected from Pandin Lake, while blaAmpC had the lowest frequency in the same lake. Meanwhile, the gene blaKPC was not detected in all isolates. The prevalence of blaAmpC and blaTEM is similar to most reported studies on Enterobacteriaceae and ARG detection in environmental waters (Mohd Khari et al. 2016; Nzima et al. 2020; Salvador-Membreve & Rivera 2021; Zieliński et al. 2021). However, this is contrary to the studies of Mahmud et al. (2020) and Zaatout et al. (2021) where blaCTXM is the predominant gene detected among ESBL-producing E. coli. AmpC gene is often expressed in higher amounts and is transmitted faster to other bacteria explaining its high occurrence in E. coli isolates (Mohd Khari et al. 2016).
Previous studies suggest that ESBL genes differ between geographical areas (Gundran et al. 2019). Thus, it is important to perform wider surveillance to determine the level of dissemination of these genes in environmental waters in the Philippines. Meanwhile, Stoesser et al. (2017) showed that other variants of blaKPC, originating from K. pneumoniae, remain rare in E. coli depending on the geographical location, thus explaining the absence of the gene from this study. Cases of blaKPC-harboring E. coli due to plasmid-mediated transfer have been reported but are limited to some countries in North and South America and Asia, like China, and have not been observed yet in the Philippines (Robledo et al. 2011; Luo et al. 2014; Kazmierczak et al. 2016).
Regarding gene patterns, the co-occurrence of blaAmpC and blaTEM in individual E. coli isolates was the most dominant in all seven lakes, while few isolates have combinations of blaAmpC with blaSHV and blaCTXM. This finding contradicts the study of Shahid et al. (2012), where blaCTXM had a higher occurrence than blaTEM and blaSHV when representative AmpC genes were present. Geographical location might be a factor in these differences. However, simultaneous occurrences of ESBL genes with blaAmpC gene in individual isolates can be alarming as these can cause broad-spectrum antibiotic resistance, and physiological imbalances in a bacterial cell could even lead to the development of carbapenem resistance (Shahid et al. 2012).
Multiple genes comprising three β-lactamase genes (blaAmpC,blaTEM, and blaSHV) on one of the eight isolates have also been detected in Pandin Lake during the wet season while seven isolates were observed in lakes Mohicap and Sampaloc during the dry season. A few studies have reported the coexistence of β-lactamase genes within the same E. coli isolates obtained from environmental waters (Liu et al. 2018; Ali et al. 2021). It is noteworthy that a significant difference was observed between the two seasons in terms of the occurrence of E. coli isolates. This may be explained by the role of high precipitation rates in increasing the frequency of agricultural runoffs, thereby increasing the concentration of microbiological contaminants in the water. Thus, seasonal variation can be a factor in multiple gene resistance in E. coli. This is similar to the study of Knapp et al. (2012), where ARG concentration was higher in the wet season than the dry season due to higher flows downstream. Although the co-occurrence of three β-lactamase genes in the lake is low, multiple resistance genes could still result in a contained resistance to β-lactamases over time.
Several studies have revealed the associations between ARGs and environmental parameters such as pH, ammonia, nitrate, orthophosphate, phosphorus, nitrogen, organic carbon, and total dissolved solids (Staley et al. 2015; Zhou et al. 2017). This study examined analyses of the association between water quality factors and the frequency of β-lactamase-harboring isolates. The frequency of the isolates harboring these genes had a strong positive correlation with nitrate, which corresponds with a study in eastern China wherein total dissolved nitrogen was significantly associated with the total ARGs present in the samples (Zhou et al. 2017). Under high organic or inorganic levels, isolates carrying genetic resistance elements had a substantially greater chance of horizontal transmission than susceptible isolates, resulting in increased spread of resistant genes (Kohyama & Suzuki 2019). No correlations were found among other parameters. This might indicate that E. coli encoding β-lactamase genes were not susceptible to environmental factors like pH, temperature, TSS, BOD, DO, ammonia, and phosphate and that other parameters must be taken into consideration (Li et al. 2020).
The correlation of resistance genes is often a result of co-selection, and this phenomenon is one of the reasons why it is challenging to reverse antibiotic resistance. Co-selection of genes happens when one antibiotic is enough to maintain the resistance mechanisms of ARGs linked in the same plasmid. Thus, understanding the association between these genes is important in making the challenge of treating and managing antibiotic resistance lesser and easier (Kpoda et al. 2018; Mazhar et al. 2021). This study observed a positive correlation between blaAmpC with blaTEM and a negative correlation between blaAmpC with blaSHV and blaCTXM among E. coli isolates. Studies have shown a strong association between blaAmpC and class A ESBLs as isolates harboring the blaAmpC gene has also carried ESBL genes in different combinations (Shahid et al. 2012). The correlation of these genes might be a result of co-selection.
Conversely, no significant association was shown in this study between blaTEM and blaCTXM, blaTEM and blaSHV, and blaCTXM and blaSHV. With this, further information and data are needed to assess the association between these genes. Contamination in the Seven Crater Lakes of San Pablo with β-lactamase-producing E. coli could be due to open defecation from nearby houses and inappropriate wastewater management in industries, hospitals, and farms. Overall, the study has displayed that environmental E. coli can present public health issues by simultaneously carrying these genes.
CONCLUSION
The study's findings suggest that environmental waters examined herein could present as a reservoir for exposure and dissemination of ESBL and AmpC genes, posing a major risk to human health. The patterns and co-occurrence of these genes in E. coli are alarming. This is a pioneer study to report the presence of β-lactamase genes in bacteria from the Seven Crater Lakes of San Pablo. Seasonality had a significant effect on the occurrence of resistant E. coli isolates and fecal coliforms. High precipitation increases microbiological contaminants in environmental waters thereby also increasing the chance to observe isolates harboring resistant genes and fecal coliforms. One environmental water parameter like nitrate strongly correlated with E. coli isolates-harboring resistant genes. High nutrient concentration increases the chance of horizontal gene transfer between isolates, thereby increasing the probability of spreading ARGs. A positive correlation between blaAmpC with blaTEM and a negative correlation between blaAmpC with blaSHV and blaCTXM among E. coli isolates were also observed. AmpC gene is often associated with faster transmission and the co-occurrences of ESBL genes with blaAmpC gene can pose a risk by causing broad-spectrum antibiotic resistance. Further monitoring studies in the Philippines are needed to assess the emergence and spread of multiple β-lactamase gene-resistant E. coli in the environmental waters. Moreover, strong control and management strategies are recommended to prevent the increasing antibiotic pollution, which drives more antibiotic-resistant bacteria to thrive in the environmental waters.
ACKNOWLEDGEMENTS
We thank our collaborating agency, the Laguna Lake Development Authority (LLDA), for the technical support. Special thanks to the Microbial Ecology of Terrestrial and Aquatic Systems (METAS) Laboratory of the Institute of Biology, College of Science, University of the Philippines Diliman, for the primers and controls provided in this study. This study was generously funded by the Philippine Council for Industry, Energy and Emerging Technology Research and Development (PCIEERD) of the Department of Science and Technology (DOST) and the International Development Research Centre (IDRC) through the Joint Programming Initiative on Antimicrobial Resistance (JPIAMR).
DATA AVAILABILITY STATEMENT
All relevant data are included in the paper or its Supplementary Information.
CONFLICT OF INTEREST
The authors declare there is no conflict.