Antibiotic resistance (AR) is often rooted in inappropriate antibiotic use, but poor water quality and inadequate sanitation exacerbate the problem, especially in emerging countries. An example is increasing multi-AR due to mobile carbapenemases, such as NDM-1 protein (coded by blaNDM-1 genes), which can produce extreme drug-resistant phenotypes. In 2010, NDM-1 positive isolates and blaNDM-1 genes were detected in surface waters across Delhi and have since been detected across the urban world. However, little is known about blaNDM-1 levels in more pristine locations, such as the headwaters of the Upper Ganges River. This area is of particular interest because it receives massive numbers of visitors during seasonal pilgrimages in May/June, including visitors from urban India. Here we quantified blaNDM-1 abundances, other AR genes (ARG), and coliform bacteria in sediments and water column samples from seven sites in the Rishikesh-Haridwar region of the Upper Ganges and five sites on the Yamuna River in Delhi to contrast blaNDM-1 levels and water quality conditions between season and region. Water quality in the Yamuna was very poor (e.g., anoxia at all sites), and blaNDM-1 abundances were high across sites in water (5.4 ± 0.4 log(blaNDM-1·mL(-1)); 95% confidence interval) and sediment (6.3 ± 0.7 log(blaNDM-1·mg(-1))) samples from both seasons. In contrast, water column blaNDM-1 abundances were very low across all sites in the Upper Ganges in February (2.1 ± 0.6 log(blaNDM-1·mL(-1))), and water quality was good (e.g., near saturation oxygen). However, per capita blaNDM-1 levels were 20 times greater in June in the Ganges water column relative to February, and blaNDM-1 levels significantly correlated with fecal coliform levels (r = 0.61; p = 0.007). Given that waste management infrastructure is limited in Rishikesh-Haridwar, data imply blaNDM-1 levels are higher in visitor's wastes than local residents, which results in seasonally higher blaNDM-1 levels in the river. Pilgrimage areas without adequate waste treatment are possible "hot spots" for AR transmission, and waste treatment must be improved to reduce broader AR dissemination via exposed returning visitors.
Antibiotic resistance (AR) is often rooted in inappropriate antibiotic use, but poor water quality and inadequate sanitation exacerbate the problem, especially in emerging countries. An example is increasing multi-AR due to mobile carbapenemases, such as NDM-1 protein (coded by blaNDM-1 genes), which can produce extreme drug-resistant phenotypes. In 2010, NDM-1 positive isolates and blaNDM-1 genes were detected in surface waters across Delhi and have since been detected across the urban world. However, little is known about blaNDM-1 levels in more pristine locations, such as the headwaters of the Upper Ganges River. This area is of particular interest because it receives massive numbers of visitors during seasonal pilgrimages in May/June, including visitors from urban India. Here we quantified blaNDM-1 abundances, other AR genes (ARG), and coliform bacteria in sediments and water column samples from seven sites in the Rishikesh-Haridwar region of the Upper Ganges and five sites on the Yamuna River in Delhi to contrast blaNDM-1 levels and water quality conditions between season and region. Water quality in the Yamuna was very poor (e.g., anoxia at all sites), and blaNDM-1 abundances were high across sites in water (5.4 ± 0.4 log(blaNDM-1·mL(-1)); 95% confidence interval) and sediment (6.3 ± 0.7 log(blaNDM-1·mg(-1))) samples from both seasons. In contrast, water column blaNDM-1 abundances were very low across all sites in the Upper Ganges in February (2.1 ± 0.6 log(blaNDM-1·mL(-1))), and water quality was good (e.g., near saturation oxygen). However, per capita blaNDM-1 levels were 20 times greater in June in the Ganges water column relative to February, and blaNDM-1 levels significantly correlated with fecal coliform levels (r = 0.61; p = 0.007). Given that waste management infrastructure is limited in Rishikesh-Haridwar, data imply blaNDM-1 levels are higher in visitor's wastes than local residents, which results in seasonally higher blaNDM-1 levels in the river. Pilgrimage areas without adequate waste treatment are possible "hot spots" for AR transmission, and waste treatment must be improved to reduce broader AR dissemination via exposed returning visitors.
Great concern exists over the transmission
of mobile carbapenemases
to pathogens, which are enzymes that confer antibiotic resistance
(AR) to carbapenems and other β-lactam antibiotics and multiresistance
to other antibiotics.[1] Of particular concern
are plasmid-borne genes, such as blaNDM-1 that code for the NDM-1 metallo-β-lactamases, which readily
migrate among bacteria and can result in extreme drug-resistant phenotypes.[2,3] Until recently, resistant strains that carry blaNDM-1 were found only in clinical settings,[4] but surface water sampling in Delhi in 2010 showed
that resistant organisms and blaNDM-1 genes also were present in surface waters.[5] As such, water-related blaNDM-1 exposure is possible via contaminated urban water. Since these early
discoveries, blaNDM-1 genes have
now been found elsewhere in the world.[6] However, major pathways for widespread blaNDM-1 dissemination are not apparent, although international
travel and tourism have been implicated.[7,8] Unfortunately,
although rapid dissemination of blaNDM-1 genes is happening, data are still lacking for epidemiological assessments,
and it is critical to identify scenarios for quantifying the spread
of blaNDM-1 from environmental
and other sources to pathogens of clinical importance.One scenario
where quantitative transmission assessments are possible
is associated with the seasonal mass migration of pilgrims from large
cities in India to religious shrines in pristine areas, such as sacred
sites along the Upper Ganges River. Cities such as Rishikesh (pop.
78,805; 2011 census) and Haridwar (pop. 220,767) in the foothills
of the Himalayas receive up to 500,000 additional visitors in May
and June, providing a large influx of nonresidents who may carry NDM-1
positive strains in their guts. Unfortunately, waste treatment is
limited in such areas (e.g., Rishikesh-Haridwar treatment plant capacity
is about pop. 80,000); therefore large quantities of inadequately
treated wastes are released into the Upper Ganges, especially during
the pilgrimage season. The potential for increased blaNDM-1 exposure is problematic because pilgrims
generally presume water quality in the Upper Ganges is good, not considering
how their mass visits impact local water quality. Therefore, by comparing
fecal coliform and blaNDM-1 abundances
in waters and sediments before and during the pilgrimage season, one
can determine possible exposure risks to visitors and residents during
pilgrimages, which can be used to guide new waste management approaches.
This is critical from a health perspective because water consumption
and bathing are key elements of pilgrimages to the region.Here
we used seasonal visitor and resident population data in conjunction
with water quality, quantitative molecular microbiology on AR gene
(ARG) abundances (including blaNDM-1), and fecal microbial indicators to assess human impacts to ARG
before and during the pilgrimage season. Specifically, we compared blaNDM-1, other ARG, and total and fecal
coliform levels in sediment and water samples between seasons at selected
sites on the Upper Ganges River near Rishikesh-Haridwar and on the
Yamuna River in Delhi (Figure 1). The goal
was to determine whether blaNDM-1 and other ARG levels differ between urban Delhi and pristine Rishikesh-Haridwar
and to assess the potential for broader AR transmission associated
with pilgrimages.
Figure 1
Sampling sites on the Upper Ganges River in the Rishikesh-Haridwar
region and the Yamuna River in Delhi.
Sampling sites on the Upper Ganges River in the Rishikesh-Haridwar
region and the Yamuna River in Delhi.
Methods
Study Area
The Ganges River is 2525 km long, and its
watershed covers more than one million km2 (about 25% of
India‘s total geographical area), spanning India, Nepal, Bangladesh,
and China. The Upper Ganges River, which is the focus of this study,
originates from glaciers at Gaumukh and enters the northern Indian
plain at Rishikesh, a small town with many religious shrines and ashrams
near the river. Below Rishikesh, the river flows ∼30 km south
to the city of Haridwar (which translates to “Gateway to Lord
Vishnu”), the first larger city on the river’s path
across the Upper Ganges basin. Within this region, seven shoreline
sites were sampled, including three nearer to Rishikesh and four nearer
to Haridwar. To contrast conditions with these sites, five sites were
chosen and sampled along the Yamuna River, which flows through Delhi.
The urban sites were chosen to span the city and avoid clear pollutant
outfalls, which are numerous on the river. Specific sampling sites
on the Upper Ganges and Yamuna Rivers are shown on Figure 1.
Sample Collection and Initial Processing
Sediment and
water column samples were collected from both rivers in February and
June 2012. All field samples were collected in triplicate at each
site in sterile 500-mL containers (VWR, U.K.) and returned to the
laboratory on ice in coolers, which was similar to previous field
studies.[9,10] Upon return to the lab, aliquots were aseptically
transferred into microcentrifuge tubes and frozen at −20 °C
for subsequent molecular biological analysis. The remaining samples
were used for microbial plating and culturing work, which was performed
within 24 h of sampling. Dissolved oxygen (DO), pH, total dissolved
solids (TDS), and temperature were measured in situ using hand-held
field probes (Waters, Germany).
Microbial Culturing of
Fecal and Total Coliform Bacteria
Fecal and total coliform
plate counts were performed on sediment
and water column samples from all sites. Culturable organisms were
extracted from sediment samples using a sterile buffer solution prepared
by dissolving 0.2% (w/v) sodium pyrophosphate in ultrapure water.
The extraction was performed by combining wet sediment sample and
buffer solution at a 1:1 ratio (v/v) in sterile 50-mL Falcon tube
and providing agitation for 4 h at 120 rpm and 4 °C. This mixture
was then serially diluted using sterile phosphate buffer solution
(PBS) and plated in triplicate (per dilution) on Rapid Hi-chrome coliform
agar (Himedia, India) at 37 °C then 44 °C for 24 and 48
h, respectively. Raw water column samples were diluted directly in
sterile PBS and plated identically to sediment samples onto the same
agar. The fecal and total coliform colony forming units (CFU) were
estimated according to manufacturer’s instructions.
DNA Extraction
and qPCR Detection of ARG
DNA was extracted
within 24 h of sample collection using the Fast Soil DNA extraction
kit (MP Biomedicals, USA) and a Ribolyzer (MP Biomedicals, USA), according
to manufacturer’s instructions. Specifically, extracted DNA
samples were stored at −20 °C in India and then returned
frozen to the United Kingdom for subsequent qPCR analysis. Specific
genes targeted included blaNDM-1;[4,11]blaOXA (a widespread
class D β-lactamase gene);[12,13] and three
common tetracycline resistance genes, tet(Q), tet(W), and tet(M)[15,16] found in human and other mammalian guts.[17] Along with these ARGs, the abundance of 16S-rRNA genes[18,19] also was quantified to estimate total bacterial population size
for normalization of ARG abundances relative to total bacterial community
size.All genes were quantified in triplicate using qPCR on
a BioRad
CFX C1000 System (BioRad, Hercules, CA USA) and established probes
and primers for targeted ARGs (see Supporting
Information, Table S1). Each 10-μL reaction mixture contained
3 μL of template DNA, 1 μL of primers (10 pmol/μL),
1 μL of nuclease free water, and 5 μL of qPCR reagent
(SsoFast EvaGreen Supermix, BioRad, USA). The programs were as follows:
bacterial 16S-rRNA and tetracycline resistance genes tet(M), tet(Q), and tet(W) had initial
enzyme activation at 95 °C for 5 min, 40 cycles of denaturation
at 95 °C for 45 s, annealing at 60 °C for 45 s, and extension
at 72 °C for 45 s; blaOXA had initial
enzyme activation at 95 °C for 2 min, 40 cycles of denaturation
at 95 °C for 5 s, and annealing and extension at 55 °C for
10 s, and blaNDM-1 had initial
enzyme inactivation at 95 °C for 5 min, 45 cycles of denaturation
at 95 °C for 15 s, and annealing and extension at 60 °C
for 1 min.All reactions were run in parallel with serially
diluted DNA standards
of known quantity and DNA-free negative controls. PCR efficiencies
(always ∼87–105%) were determined by comparing signals
from serial dilutions of samples with high abundance of DNA with plasmid
controls. Calibration curves yielded R2 > 0.99, and log-transformed gene-abundance values always were
in
the linear range. The presence of inhibitory substances in the extracted
DNA samples was checked by spiking known amounts of template DNA in
UV-treated samples and comparing differences in concentration threshold
(CT) values among the samples and neat positive-controls (one cycle
difference between samples and controls was targeted). Based on pretesting,
the extracted DNA were diluted (1:100) with molecular-grade, nuclease-free
water before being analyzed using qPCR to minimize inhibitory effects
of extraneous matter in the samples. To verify that the blaNDM-1 probes were actually targeting carbapenemase-associated
sequences in water samples, selected PCR amplicons were sequenced,
and all DNA sequences were found consistent with the intended targets.
Data Analysis
All data analyses were conducted using
SPSS (Chicago, IL; v. 17.0) and Excel 2010 (Microsoft Office 2010,
Microsoft Corp., USA). All data were log-transformed to improve sample
normality before analysis. Statistical significance was always defined
by 95% confidence intervals (p < 0.05).
Results
River
Water Quality in the Upper Ganges and Yamuna Rivers between
Seasons
Water column and river sediment samples were collected
in February and June 2012 at seven locations on the Upper Ganges River
near Rishikesh-Haridwar and at five locations on the Yamuna River
near Delhi (see Figure 1). Rishikesh and Haridwar
are located in the Himalayan foothills where residential human population
densities are low and there is minimal agricultural activity. The
Upper Ganges is primarily fed by glacial and snowmelt from the mountains;
however, it also receives increased rainfall inputs during the monsoon
season (July to September). In 2012, flow rates in June were about
double those in February, which is typical of the Upper Ganges at
that time of year.Given the pristine upland watershed, water
quality conditions in the Upper Ganges River are generally good, which
was confirmed by our monitoring data (Table 1). High ambient dissolved oxygen (DO; 8.9–9.6 mg/L) and low
total dissolved solids levels (TDS; 68–107 mg/L) suggest the
river is well oxygenated and has minimal extraneous organic and inorganic
matter. TDS levels were slightly higher in June versus February (107
vs 81.3 mg/L at Haridwar sites; Table 1), which
was probably due to greater human waste inputs during the pilgrimage
season. As background, pilgrims usually visit the region for a few
weeks to a month, staying in hotels, dharamshala (spiritual dwellings),
guest houses, temples, and private accommodations, which overall taxes
local waste management facilities.
Table 1
Seasonal Water Quality
Conditions
in the Upper Ganges River near Rishikesh-Haridwar and Yamuna River
in Delhi
DO (mg/L)
TDS (mg/L)
temp
(°C)
pH
Feb
Jun
Feb
Jun
Feb
Jun
Feb
Jun
Rishikesh
8.9 (0.06)a
9.4 (0.20)
68.3 (4.3)
71.7 (5.4)
14.0 (0.13)
19.9 (0.47)
6.8 (0.60)
7.1 (0.20)
Haridwar
9.7 (0.30)
9.0 (0.30)
81.3 (3.0)
107 (21.6)
16.2 (0.58)
22.6 (0.58)
7.5 (0.60)
7.6 (0.50)
Delhi
2.8 (0.56)
2.2 (0.58)
355 (64.8)
504 (102)
14.9 (0.46)
32.1 (1.04)
8.2 (0.21)
8.1 (0.14)
95% confidence
intervals.
95% confidence
intervals.In contrast,
water quality in the Yamuna River in Delhi was very
poor both in February and June. DO levels approached zero, and TDS
levels were five times greater than levels seen in the Upper Ganges
(i.e., 504 mg/L vs ≤107 mg/L; Table 1). The Yamuna receives massive inputs of agricultural, industrial,
and domestic pollutants[20] with some reaches
along the river having a septic odor. This suggests anoxic conditions
prevail near the water surface, which is unusual for such a large
river that typically would have greater dilution, better mixing, and
more reaeration during normal flow conditions.
Resistance Genes in River
Waters and Sediments
Replicate
water column and sediment samples were collected from both rivers,
and blaNDM-1, blaOXA, tet(M), tet(Q), tet(W), and 16S-rRNA gene abundances were quantified using
qPCR. All ARG and 16S gene abundances were 2–3 orders of magnitude
higher in sediments than the water column at all Upper Ganges River
sites, assuming specific gravity of the sediment mass is roughly 2.5
times that of water (see Supporting Information,
Tables S2 and S3). However, ARG levels were significantly higher
in both water column and sediment samples in June relative to February
levels (Wilcoxon Two-sample nonparametric test (WT); p < 0.01), which is consistent with increased human waste releases
when the seasonal visitors are present. However, the largest seasonal
increase in ARG was seen in sediment-associated blaNDM-1 levels (see Figure 2), which parallels bacterial 16S-rRNA gene levels at the same sites.
Figure 2
log(16S
rRNA bacterial gene) and log(blaNDM-1) abundances in sediment and water column samples collected in February
(blue) and June (red) near Rishikesh, Haridwar and Delhi on the Upper
Ganges and Yamuna Rivers. (A) 16S and (B) blaNDM-1 levels are provided per gram dry weight of sediment
collected, whereas (C) 16S and (D) blaNDM-1 represent levels per mL of water column sample. Error bars present
standard errors.
log(16S
rRNA bacterial gene) and log(blaNDM-1) abundances in sediment and water column samples collected in February
(blue) and June (red) near Rishikesh, Haridwar and Delhi on the Upper
Ganges and Yamuna Rivers. (A) 16S and (B) blaNDM-1 levels are provided per gram dry weight of sediment
collected, whereas (C) 16S and (D) blaNDM-1 represent levels per mL of water column sample. Error bars present
standard errors.In contrast, water column
and sediment ARG levels were always elevated
in the Yamuna River (Figure 2 and Tables S1 and S2), with significantly higher
ARG levels in the water column relative to the Ganges (e.g., blaNDM-1; WT, p <
0.01). High water-column ARG levels are consistent with many waste
outfalls into the river, which has been seen elsewhere in the world[9] and also known for the Yamuna River. Importantly,
although ARG concentrations tended to be slightly lower in February
than June in the Yamuna, statistically significant differences in
ARG levels between seasons were not seen (WT, p >
0.05), which is different than seen in the Upper Ganges River near
Rishikesh-Haridwar.To place these data into context, sediment
ARG levels were normalized
to 16S-rRNA bacteria gene levels and combined for all Rishikesh-Haridwar
and Delhi sites (Figure 3). Normalizing to
16S-rRNA gene levels describes the level of local enrichment of ARG
relative to the total bacterial population. In the Upper Ganges, all
measured ARG were significantly more enriched in June relative to
February (WT; p < 0.05). However, the extent of
enrichment was greatest for blaNDM-1 relative to the other ARGs, suggesting there is a disproportionately
larger seasonal input of “new” blaNDM-1 to Upper Ganges sediments in June when visitors
are present. In contrast, no significant seasonal difference in ARG
enrichment was seen in Yamuna River sediments (WT > 0.05). In fact,
normalized ARG levels were lower in June than February, probably resulting
from higher volumetric flow rates in the river in June (about double)
and greater dilution. ARG levels were high year-round in the Yamuna
River, which reflects large and chronic waste inputs into the river.[20] In contrast, elevated normalized ARG levels
were only high in the Upper Ganges when visitors were present, especially blaNDM-1.
Figure 3
Relative abundances of blaNDM-1, blaOXA, tet(M), tet(W), and tet(Q) resistance genes normalized
to ambient 16S rRNA bacterial gene levels in sediment samples collected
in February and June 2012 from the Rishikesh-Haridwar area of the
Upper Ganges River and in Delhi on the Yamuna River. Boxes represent
25–75% quartile ranges, and error bars indicate the standard
errors.
Relative abundances of blaNDM-1, blaOXA, tet(M), tet(W), and tet(Q) resistance genes normalized
to ambient 16S rRNA bacterial gene levels in sediment samples collected
in February and June 2012 from the Rishikesh-Haridwar area of the
Upper Ganges River and in Delhi on the Yamuna River. Boxes represent
25–75% quartile ranges, and error bars indicate the standard
errors.Such differences might be explained
by the larger human populations
present in June, but when one normalizes ARG abundances to human population
size in the region (including visitors), significantly greater blaNDM-1 and 16S rRNA gene abundances
per capita were apparent in June in the Upper Ganges River (see Figure 4; WT; p < 0.01). Interestingly,
the other four ARG tested did not significantly vary seasonally on
a per capita basis (WT; p > 0.05), implying these
“older” ARG are likely endemic in the gut and wastes
of visitors and residents alike.[17] However, blaNDM-1 is a more recently detected ARG
in human gut flora,[3,4] and Figure 4 shows it is over 20 times greater in the river (per capita) in June
relative to February. This suggests that visitor wastes, which are
more apparent in June, have higher intrinsic blaNDM-1 abundances than local residents, i.e., elevated blaNDM-1 levels in the river in June are
primarily associated with waste inputs from the visitors.
Figure 4
Sediment gene
abundances of 16S rRNA gene, blaNDM-1, blaOXA, tet(M), tet(W), and tet(Q) normalized to estimated
human populations in the Rishikesh-Haridwar
area in February (local residents only) and in June (visitors plus
local residents). Human populations are assumed to be 320,000 and
820,000, respectively. Only 16S rRNA and blaNDM-1 per capita levels significantly differ between
seasons, indicating visitor wastes contain more blaNDM-1 than local residents. Boxes present the 25–75%
quartile range, and error bars show standard errors.
Sediment gene
abundances of 16S rRNA gene, blaNDM-1, blaOXA, tet(M), tet(W), and tet(Q) normalized to estimated
human populations in the Rishikesh-Haridwar
area in February (local residents only) and in June (visitors plus
local residents). Human populations are assumed to be 320,000 and
820,000, respectively. Only 16S rRNA and blaNDM-1 per capita levels significantly differ between
seasons, indicating visitor wastes contain more blaNDM-1 than local residents. Boxes present the 25–75%
quartile range, and error bars show standard errors.
Relationships between Fecal and Total Coliforms
and blaNDM-1 Abundances
To confirm
relationships between high blaNDM-1 levels and fecal releases in the river, total coliform (TC) and
fecal coliform (FC) bacteria were cultured from Upper Ganges and Yamuna
River water column and sediment samples. blaNDM-1 levels significantly correlated with FC levels
among all sites (r = 0.61, p = 0.007;
Figure 5), indicating blaNDM-1 in the river water is likely associated with fecal
matter and waste releases. Interestingly, although a positive trend
also existed between FC and blaNDM-1 in sediments at the sites, the correlation was not statistically
significant (r = 0.24, p = 0.211).
This implies sediment FC and blaNDM-1 are still associated, but relationships weaken because fecal culturable
organisms, and specific genes can become less connected within exposed
sediments.[9] Further, a positive trend also
existed between TC and blaNDM-1 in the water column among sites (Figure 5; r = 0.34, p = 0.167). This is
not surprising because environmental TC can have sources other than
fecal matter.
Figure 5
Water column blaNDM-1 abundances
and fecal (FC) and total (TC) coliform bacterial levels for all samples
collected in both the Upper Ganges and Yamuna Rivers during February
and June sampling events.
Water column blaNDM-1 abundances
and fecal (FC) and total (TC) coliform bacterial levels for all samples
collected in both the Upper Ganges and Yamuna Rivers during February
and June sampling events.
Discussion
Antibiotic resistance is ancient,[21] but
AR levels are increasing worldwide due to increased use of antibiotics
and many other factors.[10,22−25] However, there has been considerable debate about the dominant mechanisms
by which AR is transmitted around the world.[26] Recent evidence has shown that dissemination of AR can be rapid.[27] For example, blaNDM-1 gene and its protein was first seen in patients in India about six
years ago[4] and is now detected in patients
around the world, including many new variants.[28] Original discovery of strains carrying blaNDM-1 was in hospital settings, but it has since
been detected in surface waters,[7] implying
this plasmid-borne gene is migrating outside of hospital environments,
including waters, soils, and sediments.[29]Here, we compare blaNDM-1 and
other ARG levels in human waste-impacted waters from a pristine region
of India (Rishikesh-Haridwar) and a location where blaNDM-1 has been broadly detected in surface waters
(Delhi), using PCR primers designed on the basis of Indian fecal samples.
The data suggest that permanent residents of Rishikesh-Haridwar carry
lower levels of blaNDM-1 genes
in their gut (and wastes) relative to seasonal visitors to the region
(see Figure 4). In fact, the “average”
visitor appears to carry at least >20 times more blaNDM-1 genes than Rishikesh-Haridwar residents in
2012, and increased waterborne blaNDM-1 exposure occurs during the pilgrimage season, both to pilgrims and
local residents. As such, pilgrimage areas may act as “hot
spots” for the broader transmission of blaNDM-1 and other ARG, especially considering bathing
and water consumption occur in Ganges waters and exposed visitors
return home after their visit to the region.One might argue
that our blaNDM-1 data do not solely
represent human waste releases to the river and
could be seasonally elevated for other reasons. However, other ARG
data suggest otherwise (Figure 3 and 4, and Supplementary Tables S2
and S3). Sediment blaOXA, tet(W), and tet(M) levels in the Upper
Ganges are roughly the same in February and June, which is consistent
with the probable presence of such genes in the gut and wastes from
both visitors and residents. Further, one might contend waste releases
to the river may be impacted by nonhuman animal wastes, such as cattle,
which also contain elevated blaOXA, tet(W), tet(M), and tet(Q). However, tet(Q) tends to be less associated
with human wastewater,[30] and there is significant
decrease in per capita tet(Q) levels in June, implying tet(Q) in the river is not as strongly linked with seasonal
human populations. Finally, FC and blaNDM-1 significantly correlate in the river water column (Figure 5), including periods when per capita blaNDM-1 levels were elevated; therefore, higher blaNDM-1 levels in June are likely associated
with greater quantities of visitor fecal matter in the Upper Ganges.These results have two major implications. First, blaNDM-1 genes do not appear to be equally present
across the Indian population. Our data suggest results from previous
studies,[5] which tend to focus on urban
settings, do not necessarily represent the rest of India. However,
human mass migrations almost certainly increase the probability of
transmission of ARG across the broader community. We do not suggest
pilgrimages are not important, nor do we suggest they should not continue,
but results show pilgrimage areas, such as Rishikesh-Haridwar, are
potential “hot spots” for AR transmission at large scales.
This is particularly true because areas like Rishikesh-Haridwar often
have inadequate waste treatment facilities, which are especially overloaded
when visitor populations increase; i.e., human populations are greatest
when waterborne blaNDM-1 levels
are highest. Therefore, local officials are urged to consider improving
waste treatment facilities in pilgrimage regions to better protect
ritual bathing waters. Although full-scale waste treatment plants
may not feasible, especially given the transient visiting population,
providing greater access to pit privies and providing greater local
waste management would reduce blaNDM-1 releases into surface waters.A second major implication of
this work is that we have established
an ideal site for studying the role of surface waters and sediments
on broader AR transmission. We do not yet have comprehensive epidemiological
information on blaNDM-1 resistant
clinical cases in Rishikesh-Haridwar versus national averages, but
this is clearly an important next step. We predict that multiresistant blaNDM-1 positive clinical pathogens are
currently less probable in the Rishikesh-Haridwar region (relative
to urban India), but such information might be gathered and used to
develop strategies for reducing both the clinical and environmental
transmission of mobile genes, like blaNDM-1, to strains of clinical importance.Although we do not directly
link elevated environmental reservoirs
of blaNDM-1 gene to a change in
health in the local population, abundances of such genes appear to
be significantly different between Rishikesh-Haridwar residents and
visitors from outside the region. Further, we show mass pilgrimages
potentially produce “hot spots” for ARG transfer, which
may be very influential because exposed visitors return home carrying
acquired ARG, both elsewhere in the country and around the world.
We do not question pilgrimages because they provide huge social benefit,
but waste handling and treatment facilities should be improved in
such areas to reduce the probability of broader AR dissemination of
mobile ARG like blaNDM-1.
Authors: Nicholas Peak; Charles W Knapp; Richard K Yang; Margery M Hanfelt; Marilyn S Smith; Diana S Aga; David W Graham Journal: Environ Microbiol Date: 2007-01 Impact factor: 5.491
Authors: Julie A Huber; David B Mark Welch; Hilary G Morrison; Susan M Huse; Phillip R Neal; David A Butterfield; Mitchell L Sogin Journal: Science Date: 2007-10-05 Impact factor: 47.728
Authors: Ellen S Moland; Nancy D Hanson; Jennifer A Black; Ashfaque Hossain; Wonkeun Song; Kenneth S Thomson Journal: J Clin Microbiol Date: 2006-09 Impact factor: 5.948
Authors: David W Graham; Susana Olivares-Rieumont; Charles W Knapp; Lazaro Lima; David Werner; Emma Bowen Journal: Environ Sci Technol Date: 2010-12-06 Impact factor: 9.028