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Antibiotic contamination and occurrence of antibiotic-resistant bacteria in aquatic environments of northern Vietnam a Center for Marine Environmental Studies CMES, Ehime University, Mat

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Antibiotic contamination and occurrence of antibiotic-resistant bacteria in aquatic environments of northern Vietnam

a

Center for Marine Environmental Studies (CMES), Ehime University, Matsuyama 790-8577, Japan

b

Institute of Symbiotic Science and Technology, Tokyo University of Agriculture and Technology, Fuchu 183-8509, Japan

c

Research Center for Environmental Technology and Sustainable Development (CETASD), Hanoi University of Science, Hanoi, Vietnam

a b s t r a c t

a r t i c l e i n f o

Article history:

Received 2 September 2010

Received in revised form 8 April 2011

Accepted 13 April 2011

Keywords:

Sulfonamide

Resistant bacteria

Vietnam

Acinetobacter

Sul

Animal farm

The ubiquitous application and release of antibiotics to the environment can result in bacterial antibiotic resistance, which in turn can be a serious risk to humans and other animals Southeast Asian countries commonly apply an integrated recycling farm system called VAC (Vegetable, Aquaculture and Caged animal)

In the VAC environment, antibiotics are released from animal and human origins, which would cause antibiotic-resistant bacteria (ARB) This study evaluated occurrence of ARB in the VAC environment in northern Vietnam, with quantitative analysis of antibiotic pollution We found that sulfonamides were commonly detected at all sites In dry season, while sulfamethazine was a major contaminant in pig farm pond (475–6662 ng/l) and less common in city canal and aquaculture sites, sulfamethoxazole was a major one in city canal (612–4330 ng/l) Erythromycin (154–2246 ng/l) and clarithromycin (2.8–778 ng/ml) were the common macrolides in city canal, but very low concentrations in pig farm pond and aquaculture sites High frequencies of sulfamethoxazole-resistant bacteria (2.14–94.44%) were found whereas the occurrence rates of erythromycin-resistant bacteria were lower (b0.01–38.8%) A positive correlation was found between sulfamethoxazole concentration and occurrence of sulfamethoxazole-resistant bacteria in dry season The sulfamethoxazole-resistant isolates were found to belong to 25 genera Acinetobacter and Aeromonas were the major genera Twenty three of 25 genera contained sul genes This study showed specific contamination patterns in city and VAC environments and concluded that ARB occurred not only within contaminated sites but also those less contaminated Various species can obtain resistance in VAC environment, which would be reservoir of drug resistance genes Occurrence of ARB is suggested to relate with rainfall condition and horizontal gene transfer in diverse microbial community

© 2011 Elsevier B.V All rights reserved

1 Introduction

It is known that antibiotics cause antibiotic-resistant bacteria

(ARB) in hospital-inquired infection In recent years, antibiotics

contamination is recognized as an emerging environmental pollution

in aquatic environments, because of their potential adverse effects on

the ecosystem and human health (Huang et al., 2001; Kümmerer,

2009) Majority of antibiotics used for human, plants and animals are

excreted into the environment as intact or decomposed form via

various pathways, including wastewater effluent discharge, runoff

from land to which agricultural or human waste has been applied, and

leaching (Zhang et al., 2009) Antibiotic residues in the environment

impose selective pressure on bacterial populations, which results

prevalence of resistant bacteria even at sub-inhibitory low

concen-trations Other pollutants are also known as selective agents (Stepanauskas et al., 2005, 2006) Additionally, the raw wastewater contaminated by antibiotics released into aquatic environments often carries human and animal pathogenic bacteria, in addition to commensal bacteria, and many of these organisms harbor antibiot-ic-resistance genes Therefore, water constitutes a way of dissemina-tion of not only antibiotic-resistant bacteria, but also the resistance genes, which genetically change in natural bacterial ecosystems (Baquero et al., 2008; Rosenblatt-Farrell, 2009) The ARB has been found in various aquatic environments (Kümmerer, 2004; Kim and Aga, 2007;Schluter et al., 2007; Watkinson et al., 2007;Caplin et al., 2008; Vanneste et al., 2008) In particular, our previous studies showed that aquatic environment is potential reservoirs of ARB (Nonaka et al., 2000, 2007; Kim et al., 2003, 2004; Hoa et al., 2008) even in pristine conditions (Kobayashi et al., 2007; Rahman et al.,

2008) On the other hand, a variety of antibiotics have been detected

in the aquatic environments (Hirsch et al., 1999; Göbel et al., 2005; Zhang et al., 2009), from ng/l toμg/l levels, which are lower than

⁎ Corresponding author Tel./fax: +81 89 927 8552.

E-mail address: ssuzuki@ehime-u.ac.jp (S Suzuki).

0048-9697/$ – see front matter © 2011 Elsevier B.V All rights reserved.

Contents lists available atScienceDirect

Science of the Total Environment

j o u r n a l h o m e p a g e : w w w e l s ev i e r c o m / l o c a t e / s c i to t e n v

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therapeutic levels (Göbel et al., 2005; Managaki et al., 2007, Zhang et

al., 2009) In some cases, high concentration with mg/l order was

found (Le and Munekage, 2004; Le et al., 2005) At the sub-therapeutic

concentrations of antibiotics detected in the aquatic environments,

the question is whether antibiotics could have an impact on bacterial

populations (Kümmerer, 2009) Very few studies have investigated

the relationship between antibiotic contamination and antibiotic

resistance in aquatic environments relating to human and agricultural

activities Furthermore the diversity of ARB within integrated

recycling farm VAC (Vegetable, Aquaculture and Caged animal)

systems is virtually unknown

From these background, we hypothesized that Asian integrated

agriculture environment should be polluted with various antibiotics

derived from animal and human origins, which selects ARB in the

environment To clarify this, we conducted monitoring of

concentra-tions of residual antibiotics and ARB in the VAC environments

Antibiotic residues were often detected in the human-impacted

aquatic environments of Southeast Asian countries and China (Le and

Munekage, 2004; Richardson et al., 2005; Managaki et al., 2007) In

Vietnam, agriculture and aquaculture are the major economic

activities, and excessive and unregulated use of antibiotics was

commonly found in human medicine, management of livestock, and

aquaculture (Le et al., 2005; Managaki et al., 2007; Duong et al., 2008)

The Red River delta of northern Vietnam is an appropriate study site

because of following conditions This area is one of the largest deltas in

Southeast Asia, including 9 provinces along with 2 municipalities, the

capital city of Hanoi, and the main seaport of Haiphong The delta is an

agriculturally rich area, which is densely populated by 11,000,000

people (Berg et al., 2001) The heavy and unregulated use of

antibiotics along with the discharge of untreated wastewater into

the aquatic environments might cause significant contamination of

both antibiotic residues and ARB On the basis of the information

obtained during our pre-study onsite interview-based survey, we

identified sulfonamides, trimethoprim, and macrolides as the target

antibiotics

In the present study, we first characterized the pattern of

contamination by antibiotics and ABR in the rainy and dry seasons

in the Red River delta area To better understand whether the

antibiotic residues in the aquatic environment is an important source

in selecting and creating an increasingly resistant bacteria in the

environments, the statistical correlation between the concentration of

antibiotic residues and ARB occurrence was analyzed A part of

sulfonamide-resistant (SR) bacteria was isolated and classified in

January when the relationship between sulfonamide and occurrence

of SR bacteria was possibly observed The possession of sul genes was

also monitored The variation and distribution of sul genes in manure

were examined in Europe, and the molecular information for a

method of detection is available (Heuer et al., 2009) Therefore sul

genes were the priority to survey in this study

2 Materials and methods

2.1 Sampling area and procedure

Specific integrated aquaculture-agriculture system is major in

Vietnam, at which freshwaterfishponds directly receive excreta from

intensive pig farms (termed“pig farm/fish ponds”) (Hoa et al., 2008)

Sampling was performed at 10 sites in the Red River delta of northern

Vietnam, including 3 sites of a city canal in Hanoi (HNC-1–3), 3 sites at

3 pig farm/fish ponds in Hatay (HNP-1–3), and 4 sites at 4 coastal

shrimp ponds of Haiphong (HNAQ-1–4) (Fig 1) The HNC sites were

upper-, middle- and down-stream of the main canal of Hanoi City, and

the HNP and HNAQ sites were representative farms of animal and

shrimp culture The sampling sites were at least 3 km away from each

other These 3 habitats were selected because they were

representa-tive of the aquatic environments exposed to antibiotics The city canal

in Hanoi directly receives various types of untreated municipal wastewater, such as wastewater from households and hospital (Duong et al., 2008) According to the onsite interviews conducted during ourfield trips in both sampling periods, antimicrobials were rarely used for the freshwaterfishponds in Hatay province, but very frequently used in the pig farms The categories of the drugs and their amounts varied widely among the individual pig farms We chose coastal shrimp ponds in Haiphong because this province is one of the centers of fish and shrimp cultivation, which is an industry that supplies seafood to domestic and foreign markets (Tran et al., 2006) The use of antibiotics in the Vietnamese shrimp industry has been reported by Le and Munekage (2004) and Le et al (2005) The investigated shrimp ponds were located near the estuary mouths, and the water level of the ponds was somewhat influenced by tidal movement; the water level in the ponds was adjusted by using pumps The collection of water samples was repeated twice, once in January (dry season) and then in July (rainy season) in 2007 A detailed description of the characteristics of water samples and the climate conditions of the sampling locations is provided inTables S1

and2 The sampling procedure was identical to that described in our previous studies (Managaki et al., 2007; Hoa et al., 2008) Then, the samples were preserved on ice and analyzed in the laboratory within

3–6 h after sampling

2.2 Analysis of antibiotics The concentrations of sulfonamides, trimethoprim, and macrolides were determined by tandem mass spectrometry equipped with high-performance liquid chromatography (LC–MS/MS), which was per-formed after solid-phase extraction The detailed procedure has been described byManagaki et al (2007), and the outline of the procedure

is as follows We extracted 50 ml (city canal samples), 20 ml (pig farm/fish pond samples), and 250 ml (shrimp pond samples) on 6-ml Oasis HLB sorbent cartridges (200 mg; Waters) (flow rate, b5 ml/min;

pH, 4) After extraction, the cartridges were stored at −30 °C, transported to the laboratory in Tokyo, and defrosted before elution

of the antibiotics The cartridges were washed with 5 ml of water– methanol (75:25) and dried in a nitrogen flow for 30 min The analytes were eluted with 2 × 1.5 ml of methanol–ethyl acetate (1:1) and 2 × 1.5 ml of methanol containing 1% (v/v) ammonia A fixed amount 25 ng (500 pg/μl×50 μl) of each antibiotic surrogate standard (sulfamethoxazole-d4, clarithromycin-d3, and roxithromycin-d9) was spiked to the sample extracts The extracts were evaporated to dryness using a rotary dryer and dissolved in 1 ml of water–methanol (1:1), and the antibiotic contents were determined by separating the extracts by LC–MS/MS

HPLC analyses were performed on a Hewlett-Packard G1310 The antibiotics were separated on a reverse-phase column (YMC Pro C18;

3μm, 150 mm×2 mm) that was operated at 30 °C at a flow rate of 0.15 ml/min The mobile-phase solvents were water-acidified with 1% (v/v) formic acid (eluent A) and methanol-acidified with 1% (v/v) formic acid (eluent B) to pH 2.5 by using a gradient program The antibiotics were detected using a triple-quadrupole mass spectrom-eter (TSQ Quantum 7000; Thermo Finnigan, Japan) equipped with electrospray ionization The analyses were performed in the positive-ion mode The detectpositive-ion was performed in the selected-reactpositive-ion- selected-reaction-monitoring mode (SRM) using the 2 most intense and specific fragment ions

To compensate for matrix effects and experimental losses during sample treatment, we corrected the concentrations of the target antibiotics with the recovery values of the corresponding surrogates spiked in the same extracts The following compounds were used as recovery surrogate standards: sulfamethoxazole-d4 for all sulfon-amides and trimethoprim; clarithromycin-d3 for clarithromycin, erythromycin-H2O, and azithromycin; and roxithromycin-d9 for roxithromycin The analytical precision was examined by performing

2895 P.T.P Hoa et al / Science of the Total Environment 409 (2011) 2894–2901

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4 replicate analyses of 250 ml of water from the Tamagawa River The

relative standard deviations of the target antibiotics ranged from 2% to

11% For the recovery studies, 25 ng of each antibiotic (500 pg/μl in

50μl) and the recovery surrogate were spiked into 250 ml of water

from the Tamagawa River Recoveries of the spiked standards ranged

from 72% to 93% (SPY: 87% ± 6%, STZ: 91% ± 3%, SMR: 86% ± 3%, ; SMT:

84% ± 3%; SMZ: 86% ± 3%; SMX: 85% ± 6%; SDX: 86% ±2%; TRI: 72% ±

11%; AZI: 90% ±4%; ERY: 90% ±2%; CLA: 93% ± 6%; ROX: 93% ± 3%)

Most of the target compounds showed recoveries of over 84%, with

the exception of trimethoprim with 72% recovery If we consider such

a trace amount (e.g., low ng/L) of the target compound from a

complex environmental matrix, recovery of over 70% is normally

acceptable for this type of monitoring study The limits of quanti

fi-cation were defined as 10 times the procedural blank value or 10

times the noise level of the baseline in the chromatograms if there

were no peaks in the procedural blank analysis Limits of quanti

fica-tions ranged from 0.1 ng/l to 1.2 ng/l Travel contamination and

laboratory contamination were determined by analyzing the travel

blanks and procedural blanks after extraction Calibration curves for

each compound are shown in Fig S1

2.3 Enumeration of antibiotic-resistant bacteria (ARB)

The colony forming unit (CFU) was measured by using the plate

spreading method described in our previous study (Hoa et al., 2008)

Briefly, 1 m1 of each water sample was suspended in 9 ml of

phosphate-buffered saline (PBS), and serial 10-fold dilutions were prepared

Nutrient broth (Difco, Detroit, MD, USA) with 1.5% agar was used for

fresh water samples collected from HNPs and HNCs, and marine broth

(Difco, Detroit, MD, USA) with 1.5% agar was used for the brackish water

samples collected from HNAQs The total viable count was obtained

from the antibiotic-free media, and the ARB was counted on media

supplemented with 60μg/ml of each antibiotic: sulfamethoxazole

(SMX) and erythromycin (ERY) (both from Sigma-Aldrich, St Louis,

MO, USA) These two compounds are appropriate representatives of

sulfonamide and macrolide, which are commonly used drugs in

Indochina and are well studied (Managaki et al., 2007) In this study,

‘resistance’ was determined as growth after 5 days at 30 °C in the media

containing antibiotic at concentrations of 60μg/ml and additionally our previous study showed that 92%, 72% and 43% of SMX-resistant (SMXr, for 60μg/ml) isolates from HNPs, HNCs and HNAQs, respectively contained the sul genes (Hoa et al., 2008) The criterion for indicating resistance has been designated to be 32–60 μg/ml (Hoa et al., 2008; Toleman et al., 2007), and this concentration is appropriate for comparison to other drugs (Nonaka et al., 2007) The bacterial count was determined by plating 0.1 ml of 10-fold dilution (10−3and 10−4 dilution for most cases of total viable bacteria, and 10−1and 10−2 dilution for the selection of ARB) CFUs were counted in double plates 2.4 Classification of SMXrisolates

The bacterial isolates that were randomly picked from the duplicate plates in January samples (Hoa et al., 2008) were classified

to the genus level by 16S rRNA gene sequencing Addition to 43 strains carrying sul genes reported in our previous study (Hoa et al., 2008), 78 SMXrstrains were newly identified in this study The primers (F984, R1378) and polymerase chain reaction (PCR) conditions were the same as described byHeuer et al (1997) The 394-bp PCR product was purified and sequenced using the Big Dye terminator version 3.1 cycle reaction kit (Applied Biosystems, Foster City, CA, USA) on a 3100 ABI Prism DNA sequencer (Applied Biosystems) The DNA sequences obtained were analyzed by the Basic Local Alignment Search Tool (BLAST) at the National Center for Biotechnology Information (NCBI,

amplified PCR product showed similarity≥95%, the isolate was recognized as the closest genus

2.5 Data analysis The correlation between the antibiotic concentration and inci-dence of ARB was calculated by Spearman correlation coefficients Continuous variables were compared by the t-test A p valueb0.05 was considered statistically significant Beside that linear correlation was used for calculation the correlation between SMX and trimeth-oprim concentrations detected

Red River Red River

21N

China

Vietnam

Red River Delta

HNC-3

Red River

Hanoi

Laos

Hanoi

HNC-1 HNC-2

HNP 3

HNAQ-1 HNAQ-2 HNAQ-3 HNAQ-4

HNP-1 HNP-2

HNP-3

20N Haiphong

Fig 1 Study area and sampling sites.

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3 Results and discussion

3.1 Antibiotic contamination status

We quantified the contamination of the 3 antibiotic groups,

sulfonamides, trimethoprim, and macrolides at 10 sites in different

seasons (Table 1) Among sulfonamides, SMX and sulfamethazine

were the major compounds detected Trimethoprim was also detected

with same manner of sulfonamide Concentrations of SMX and

trimethoprim were positively correlated (R2= 0.758, pb0.001),

which is caused by combination use of sulfonamide with

trimetho-prim (Huovinen et al., 1986 Houvinen et al., 1995) Present study

showed that SMX is used with trimethoprim in this area especially in

human medicine, because of high concentration in city canal samples

Positive correlation was not found between sulfamethazine and

trimethoprim, suggesting that the combination of the two compounds

in pig farming is not frequent (Table 1) Other four sulfonamides

(sulfathiazole, sulfamerazine, sulfamethizol, and sulfadimethoxine)

were not detected at any investigated sites, which have a similar

tendency to our previous study conducted at the Mekong River delta,

Vietnam and the Tamagawa River, Japan (Managaki et al., 2007)

When the contamination was compared between rainy and dry

seasons, clear difference was not observed (p = 0.96) despite that the

precipitation in July (rainy season: 286 mm of rainfall/month) should

dilute drugs much more than January (dry season: 2 mm of rainfall/

month) This may be due to the intensive use of drugs in the rainy

season, which could compensate for the large dilution effect by rain

The concentrations of sulfonamides and trimethoprim residues in

the city canal and the pig farm/fish ponds (16.1–4330.0 ng/l and 16.8–

6662.0 ng/l, respectively) were, on average, approximately 7-fold

higher than those in the shrimp ponds (2.38–914 ng/l) (Table 1) The

high concentrations of SMX, sufamethazine, and trimethoprim

detected in the water samples of the city canal and the pig farm/fish

ponds could be due to the unregulated consumption of these

compounds by humans (Duong et al., 2008) and livestock (Managaki

et al., 2007) The maximum detected concentration of

sulfamethox-azole in the city canal (4330 ng/l) was higher than that in municipal

wastewater in Switzerland (1900 ng/l) (Göbel et al., 2005), the

Mekong River delta (360 ng/l) of southern Vietnam, and the

Tamagawa River of Japan (132 ng/l) (Managaki et al., 2007), but

lower than reported in the German study (9000 ng/l) conducted at

10 years ago (Hartig et al., 1999) In the present study, while the

maximum concentration of SMX was detected in municipal raw

wastewater, the maximum concentration of sulfamethazine was

detected in the pig farm/fish ponds (Table 1) The contamination

profile showed that sulfamethazine was a major contaminant in the

pig farm/fish ponds, while SMX was a major sulfonamide in the city

canal and the coastal shrimp ponds; thesefindings were repeatedly

observed during the 2 sampling trials, i.e., during both rainy and dry

seasons (Table1) Thesefindings suggested that sulfamethazine was

intensively used in pig farms, and SMX was mainly used in human

medicine A previous study also detected high concentrations of

sulfamethazine (18,512–19,153 ng /l) in the Mekong River delta of

Vietnam and suggested that this sulfamethazine had a livestock origin

(Managaki et al., 2007) The studies byLe and Munekage (2004), Le

et al (2005) and Managaki et al (2007)also suggested that SMX was

primarily used for human medication and coastal aquaculture, but not

for livestock production in Vietnam The data obtained in the present

study showed that contamination by sulfonamides and trimethoprim

did not occur frequently in the shrimp ponds Low concentrations of

these drugs (0–914 ng/l) were detected in the shrimp ponds;

however, the profile of the relative composition of sulfonamides

suggested that the sulfonamides and trimethoprim detected in this

study were derived from humans and livestock

In terms of the number of compounds and residue concentrations,

we found that the macrolide contamination in municipal raw

wastewater was more severe than that of agricultural wastewater in both pig farm/fish ponds and the coastal shrimp ponds All the 4 investigated macrolides were detected at relatively high concentrations

in the city canal (azithromycin, 0–90.8 ng/l; ERY, 61.1–2246.0 ng/l; clarithromycin, 1.60–778.0 ng/l; and roxithromycin, 0–125 ng/l), while concentrations in the pig farm/fish ponds (ERY, 0–63.9 ng/l and clarithromycin, 0–0.40 ng/l) and the shrimp ponds (ERY, 0–0.28 ng/l) were very low (Table 1) Erythromycin and clarithromycin were abundant in the city canal and the pig farm/fish ponds, where the highest erythromycin concentration (2246 ng/l from city canal) was approximately 55-fold higher than that from the Mekong River delta (41 ng/l) (Managaki et al., 2007), and 3-fold higher than that from wastewater in Hong Kong (810 ng/l) (Gulkowska et al., 2008) The findings in this study suggested that human medication was the primary source of macrolide contamination in this area

As a conclusion, the contamination data showed specific contam-ination patterns in the city canal, pig farm and aquaculture sites 3.2 Occurrence of ARB

We enumerated SMX-resistant (SMXr) and ERY-resistant (ERYr) bacteria from the same samples that were evaluated for antibiotic concentrations Overall, the occurrence rates of SMXrbacteria were generally higher than those of ERYrbacteria at any site across the 2 sampling times (Table 2), which was similar tendency to drug contaminations, that is, SMX was detected at higher concentration than ERY at all sites The occurrence rates of SMXrand ERYrbacteria in the city canal in January were higher than those in July, although other sites did not show differences between January and July (Table 2) This difference in city canal can be attributed to the high rainfall in July and the frequent wide-rangefloods during Hanoi's rainy season (Table S2) Antibiotic contamination was almost the same in both seasons as we mentioned above; however, there is a possibility that high rainfall in July disturbs microbial ecosystem in city canal, which could interfere the occurrence of ARB On the other hand, the water level was relatively lower and water exchange should not be frequent in January In intensive agricultural systems like the pig farm/fish ponds and the coastal shrimp ponds, the water level was less affected by rainfall because these ponds function as water storage and are not subject to frequent exchange This condition would facilitate adequate time to develop resistance by promoting cell-to-cell horizontal gene transfer The exposure time between bacteria and antibiotics in July might be as equal as that in January; and therefore their occurrence rates were nearly stable during the two seasons It was found in this study that occurrence of ARB is depending on rainfall condition in city canal, but the ARB are reserved through the year in pig farm and aquaculture sites without correlation to drug contamination The relationship of contamination and ARB will be discussed further below

3.3 Relationship between antibiotic concentration and occurrence of ARB

Relationship between the use of antibiotic and occurrence of ARB

is complicated A number of studies have shown a positive correlation between the use of antibiotics in humans and the development of antibiotic resistance in pathogenic bacteria (e.g.β-lactam, aminogly-cosides,fluoroquinolones, macrolides, reviewed inCristino, 1999) In contrast, a number of studies have shown that heavy use of antibiotics did not necessarily accelerate the prevalence of resistance (Gaynes, 1997; Cristino, 1999; Kahlmeter et al., 2003; Le et al., 2005) In many cases, the association between these 2 factors was not established because of various contributing factors, including cross-transmission, inter-hospital transfer of resistance, community contribution to resistance, or a complex relationship between resistance and the use of a variety of antibiotics (Gaynes, 1997; Cristino, 1999) On the other hand, some studies have shown that the consumption of

2897 P.T.P Hoa et al / Science of the Total Environment 409 (2011) 2894–2901

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Table 1

Concentrations of sulfonamides, trimethoprim and macrolides detected from water samples.

(ng/l)

A January

B July

LOQ: limit of quantification; n.d., not detected; n.a., not available due to overlapped interfering peak.

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antibiotics in animal husbandry can also play a major role in the

selection and dissemination of ARB in the environment For example,

Angulo et al (2004) and Asai et al (2005)observed strong positive

correlations between the usage of veterinary therapeutic antibiotics

and antibiotic resistance in Escherichia coli isolates obtained from the

feces of food-producing animals Thefindings by these studies raise

great concerns regarding the long-term consequences of antibiotic

use in agricultural ecosystems Furthermore, agricultural and

aqua-cultural products are sometimes at risk from ARB through the food

chain and from handlers (Levy and Marshall, 2004)

The relationship between antibiotic contamination and ARB is not

always observed Our statistical analysis revealed a significantly

positive correlation between the occurrence rate of SMXrbacteria and

the residual concentration of SMX (Rs= 0.803) in January, but this

finding was not observed in July However, as shown inFig 2, SMXr

bacteria increased in January at only city canal cases Thus it is

suggested that rainfall effect is appeared in city canal sites by the

reason mentioned above There was no statistically significant

correlation between ERY concentration and the occurrence rate of

ERYr bacteria Erythromycin resistance is mediated by various

mechanisms (Perichon and Courvalin, 2009), suggesting possibility

of cross-resistance occurred by other chemicals

The coastal shrimp ponds, brackish water environments, are

habitats differed from the freshwater environments, the relationship

between antibiotic contamination and ARB was not observed in this

study We found that at several sites in the coastal shrimp ponds

where antibiotic concentration was below or almost below the limit of

detection (Table 1), high incidence of ARB was still observed both in

rainy and dry seasons (Table 2); this was particularly the case with

SMXrbacteria This result is in agreement with previous study in the

coastal shrimp ponds of Vietnam byLe et al (2005); higher incidence

of bacteria resistant to antibiotics was found in the ponds where

antibiotic concentration was lower There are many possible reasons

for this For example,first, higher incidence of ARB could be due to

their persistence in the environments Previous studies (Enne et al.,

2001 and Enne et al., 2002; Antunes et al., 2005; Bean et al., 2005)

have shown strong evidence that SR bacteria can persist for a long

time even after a great decrease in prescription of the antibiotic; this is

due to the genetic linkage of the SR to other resistance determinants

(Enne et al., 2001) Second, other factors could have impact on

incidence of ARB Recent ecological studies have shown evidence for

the co-selection of ARB with various other resistance determinants in

aquatic environments (Stepanauskas et al., 2005 and Stepanauskas

corresponding antibiotics are absent in the environment Third,

horizontal gene transfer of SR genes might play an important role

on their dissemination in the environment in the presence of

co-selection by other antibiotics (Bean et al., 2005) This study suggested

that not only contamination of antibiotics but also other selective pressures act as inducing factors of ARB in aquatic environments, although further studies are needed to confirm these possibilities 3.4 Diversity of SMXrisolates and possession of sul genes

We examined the species composition of the 121 isolates sampled

in January whose SMX resistance possibly correlated with SMX contamination These isolates were identified and classified into 25 different genera (Table 3) Among the identified SMXr bacteria, Acinetobacter was the most abundant (24%), followed by Aeromonas (19.8%), Bacillus (13.2%) and Pseudoalteromonas (10%); the other bacterial genera occupied small fraction (less than 10%) of the total isolates Acinetobacter was major in pig farm/fish pond, whereas Aeromonas was mainly detected in city canal Shrimp pond showed

Table 2

Antibiotic-resistant bacteria detected from water samples.

Site Total viable count Sulfamethoxazole-resistant bacteria Erythromycin-resistant bacteria

HNC-1 1.00 × 10 6

1.50 × 10 6

5.00 × 10 5

(50.00) 9.14 × 10 4

(6.09) No data (No data) 2.80 × 10 4

(1.86) HNC-2 4.80 × 10 6

2.05 × 10 6

2.50 × 10 6

(52.08) 1.31 × 10 5

(6.39) 5.00 × 10 5

(10.41) 9.40 × 10 4

(4.58) HNC-3 1.80 × 10 6

2.44 × 10 6

1.70 × 10 6

(94.44) 8.92 × 10 4

(3.65) 7.00 × 10 5

(38.80) 6.05 × 10 4

(2.47) HNP-1 1.80 × 10 5

7.40 × 10 5

1.00 × 10 4

(5.55) 7.10 × 10 4

(9.59) 7.00 × 10 3

(3.88) 5.81 × 10 4

(7.85) HNP-2 3.40 × 10 4

No data 3.88 × 10 3

(11.41) 9.62 × 10 3

(No data) 2.98 × 10 3

(8.76) 4.76 × 10 3

(No data) HNP-3 1.60 × 10 5 9.00 × 10 5 5.60 × 10 3 (3.50) 2.83 × 10 4 (3.14) 5.51 × 10 2 (0.34) 1.80 × 10 3 (0.20) HNAQ-1 1.70 × 10 4 3.40 × 10 5 2.30 × 10 3 (13.52) 6.73 × 10 4 (19.79) 1.00 × 10 2 (0.58) 2.50 × 10 1 (b0.01) HNAQ-2 1.90 × 10 4

3.65 × 10 5

1.04 × 10 4

(54.70) 5.16 × 10 4

(14.1) 6.00 × 10 2

(0.31) 5.00 × 10 1

(b0.01) HNAQ-3 5.14 × 10 4

7.60 × 10 5

1.10 × 10 3

(2.14) 6.59 × 10 4

(8.7) 6.00 × 10 1

(0.11) 6.00 × 10 1 (b0.01) HNAQ-4 2.90 × 10 4

4.65 × 10 5

2.40 × 10 3

(8.27) 7.97 × 10 4

(17.1) 2.00 × 10 1

(0.06) 3.00 × 10 1 (b0.01)

No data is due to laboratory accident Each count is an average of duplicate counts.

t-test for the number of antibiotic-resistant bacteria (JanuaryNJuly) in HNCs is significant (pb0.05), but not in HNAQs and HNPs (pN0.05).

0 10 20 30 40 50 60 70 80 90 100

rbacteria (%

SMX concentration (ng/L)

Rs=0.803

0 10 20 30 40 50 60 70 80 90 100

rbacter

SMX concentration (ng/L)

Rs=-0.610

A (Jan)

B (Jul)

Fig 2 Relationship between sulfamethoxazole (SMX) concentration and the occurrence rate of sulfamethoxazole-resistant (SMX r ) bacteria in January (A) and July (B) 2007 The value of R S was calculated by the test for Spearman rank correlation Symbol, rhombus enclosed with oval indicates city canal (HNCs), circle indicates pig farm/fish pond

2899 P.T.P Hoa et al / Science of the Total Environment 409 (2011) 2894–2901

Trang 7

variety of bacterial genera, suggesting the shrimp pond was highly

diverse in microbial community In addition, referring to the

distribution of the sulfonamide resistance genes (sul1, sul2 and

sul3), which detected by PCR and Southern hybridization as reported

in our previous study (Hoa et al., 2008), we detected a total of 23

genera conferring sul1, sul2 or sul3 genes; of these 23 genera, 13

genera, namely Pseudoalteromonas , Halobacillus, Arthrobacter,

Bra-chybacterium, Microbacterium, Rheinheimera, Marine bacterium Tw-9,

Agrococcus, Cellulosimicrobium, Sandaracinobacter, Tenacibaculum,

Uruburuella, and Wautersiella were first reported in this study as

sul-containing bacteria Interestingly, our results revealed a potential

reservoir of sul-containing bacterial genera from various habitats;

major genera were Acinetobacter (17/17 sul-positive) in the pig farm/

fish pond, Aeromonas (13/15 sul-positive) in the city canal and Bacillus

(9/15 sul-positive) and Acinetobacter (9/10 sul-positive) in the coastal

shrimp ponds Thefindings are in agreement with recent studies that

Acinetobacter was a potential environmental reservoir for

sulfon-amide resistance genes in pig slurry, manured agricultural soils and

fish ponds that contaminated by sulfonamides and other antibiotics

(Petersen et al., 2002; Byrne-Beiley et al., 2009; Heuer et al., 2009)

Among the sites, pig farm/fish ponds and shrimp ponds showed

higher bacterial species diversity than from city canals (Table 3) A

previous study bySuzuki et al., 2008) suggested that the occurrence

rate of tetracycline-resistant bacteria positively correlated with

bacterial species diversity, accounting for the increase in

tetracy-cline-resistant bacteria in the environment with higher microbial

diversity The SMXrbacteria in pig farm/fish ponds and shrimp ponds

may also be a similar condition, and may be one of the reasons why

the occurrence rate of SMXrbacteria in July and January were nearly

equal

Escherichia, Shigella, Staphylococcus and Enterobacter were found in

HNPs (Table 3), and these possessed sul genes This suggests that pigs

and /or humans released ARB which was earlier selected in animal

and human bodies In the VAC environment, animals and humans are

also candidates for the origins of ARB and resistance genes

Bacillus was reported as the major bacteria possessing tet(M) in marine sediments in Japan (Rahman et al., 2008), which was found to

be a potential reservoir sul genes in Vietnamese water in this study The three habitats investigated in this study showed a higher number

of sul-processing bacteria; 18 sul-positive genera /18 total genera in the pig farm/fish pond, 5/6 in the city canal, and 7/9 in the shrimp ponds Thisfinding suggests that the sul genes are widely distributed

in various bacterial groups in the bacterial isolates, and more diverse than those genera reported in previous studies (Le et al., 2005; Rahman et al., 2008;Byrne-Beiley et al., 2009 Our study concluded that SMXrbacterial groups containing the sul genes in the environ-ments were more diverse than known by previous studies Various species should be reservoirs of sul genes in VAC aquatic environments

4 Conclusion This study provides new results on the contamination status by antibiotics in VAC environment in northern Vietnam Sulfonamide especially SMX and sulfamethazine were major drugs in city canal and pig farm/fish pond, respectively Sulfonamides were used intensively

in rainy season Trimethoprim was used as combination drug with SMX Macrolides were detected in city canal, indicating human use origin

Occurrence of ARB and diversity of ARB were also evaluated Result

of city canal site showed higher occurrence of SMXrin dry season than rainy season; however, pig farm/fish pond and aquaculture sites showed constant rate of SMXrin rainy and dry seasons SMXrbacteria were diverse, which included first recorded genera as SMXr

Acinetobacter and Aeromonas were the major SMXr in aquatic environment Many of SMXrpossessed sul genes, suggesting reservoir

of the sul genes

This studyfirst showed relationship of drug contamination and ARB diversity in rainy and dry seasons

Acknowledgements This research was partly supported by the 21st Century and Global COE programs (MEXT) and Grant-in-Aids from JSPS (19405004 and 19310039) We thank Dr Nguyen Thi Mui, Hanoi University of Science, Vietnam, for providing us with the data on rainfall and temperature of Red River delta areas Dr A Subramanian and Dr T W Miller are appreciated for their critical reading of this paper Appendix A Supplementary data

Supplementary data to this article can be found online at

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