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Article

Spatial Distribution and Seasonal Variation of Antibiotic-Resistant Bacteria in an Urban River in Northeast China

Engineering Research Center of Agricultural Microbiology Technology, Ministry of Education & Heilongjiang Provincial Key Laboratory of Ecological Restoration and Resource Utilization for Cold Region & Key Laboratory of Molecular Biology, College of Heilongjiang Province & School of Life Sciences, Heilongjiang University, Harbin 150080, China
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Water 2024, 16(9), 1268; https://doi.org/10.3390/w16091268
Submission received: 12 March 2024 / Revised: 17 April 2024 / Accepted: 26 April 2024 / Published: 28 April 2024

Abstract

:
As the largest freshwater river flowing through Harbin, the Songhua River is a standby water source. It is very important to know the species and distribution of antibiotic-resistant bacteria (ARB) in the river. In this study, five antibiotics were selected to screen and identify ARB in spring and autumn. The results showed that the concentration of cefotaxime-resistant bacteria was the highest, and the maximum concentration at S6 in spring was up to 1.40 × 104 CFU/mL. In spring and autumn, bacteria resistant to three antibiotics were screened at S1 of the Songhua River, and bacteria resistant to five antibiotics were screened at S6. No multiple antibiotic-resistant bacteria (MARB) were screened in the other four sites in autumn, while MARB were screened in the other three samples except S2 in spring. In all sample areas in spring and autumn, the probability of screening MARB at S1 and S6 was the highest, reaching 100%. The identification results of 16S rDNA polymerase chain reaction (PCR) products of ARB showed that a total of 51 ARB strains from 15 bacterial genera were screened in the Songhua River, of which 20 ARB strains were from Pseudomonas. Among the 15 bacterial genera, bacteria from 8 bacterial genera have pathogenicity. The results of this study revealed the concentration, spatial distribution, and seasonal variation of culturable ARB in the Songhua River, providing data support for the remediation of antibiotic resistance gene (ARG) pollution in the river.

1. Introduction

For decades, antibiotics have made great contributions to the treatment of human and animal diseases, but with the extensive and unreasonable use of antibiotics, a large number of antibiotics have entered the natural environment [1]. The degradation of antibiotics in the natural environment is very slow. Bacteria in the environment will acquire genomic mutations and obtain antibiotic resistance after exposure to sub-inhibitory or sub-lethal concentrations of antibiotics to cope with the survival crisis caused by this drug stress [2]. What is more serious is the vertical and horizontal transfer of antibiotic resistance genes (ARGs) carried by antibiotic-resistant bacteria (ARB) during bacterial reproduction [3]; that is, these ARGs will be passed to future generations of the same species, and even other species, of bacteria [4]. Especially when these ARGs are transferred to pathogenic bacteria, the antibiotic resistance of pathogenic bacteria makes it more difficult to treat the diseases caused by them, which seriously threatens human health. Therefore, ARGs have been identified as a new type of pollutant [5]. At present, a large number of studies have shown that ARGs and ARB are present in water [6], soil [7], air [8], and even in animals [9] and plants [10], and the types and quantities of ARB in the environment have become very large and even include a large number of pathogenic bacteria.
Freshwater resources are indispensable for organisms living on the earth and are directly related to the continuation of life. As a freshwater resource on the ground, river water runs through human cities and agricultural development areas and has made great contributions to the development and continuation of human beings. However, with the acceleration of urbanization and the rapid development of agriculture, freshwater resources have been polluted to a certain extent [11]. Therefore, the intensification of human activities is often accompanied by a certain degree of negative impact on the environment [12]. Among them, a large number of antibiotics and ARB remaining in medical wastewater and domestic sewage continue to enter the natural environment, especially rivers [13], making the pollution of antibiotics and ARGs increasingly serious [14]. Urban river waters with a large number of ARB are often used for crop irrigation in agricultural development areas [15]. A large number of ARB in rivers adhere to the surface of crop leaves through irrigation, and some ARB enter and colonize the soil. ARB that enter the soil can transfer their ARGs to other bacteria in the soil through horizontal transfer, resulting in a large number of ARB in the rhizosphere soil of crops. What is more serious is that ARB in the rhizosphere of crops can enter the roots by absorption through crop roots, and then use the nutrient transport of crops to transfer to stems and leaves through vascular bundles [16]. Finally, they colonize in the roots, stems, and leaves of crops and become endophytic bacteria [17]. Moreover, the ARGs carried by these ARB are horizontally transferred so that other endophytic bacteria in crops will also obtain antibiotic resistance, which is a very terrible phenomenon. When humans and animals eat these crops, especially the frequently eaten raw crops [10], the colonization of ARB in the digestive tract and the transfer of ARGs to the intestinal flora [18] pose a serious risk to human health [19]. In addition, studies have found that when recreational activities are carried out in river waters with ARB, the ARB will attach to the body surface or even directly enter the body [20]. Moreover, the ARB attached to the body surface are generally difficult to be completely removed by simple cleaning and may enter the body with food after contact with food.
Therefore, the detection of ARB in urban river water has become very important and urgent, especially with the large number of antibiotic-resistant pathogens. The Songhua River is the largest river water body flowing through Heilongjiang Province, China. It is a standby drinking water source in Harbin and an important storage water body for sewage discharge. It is also used for irrigation and drainage of crops and flood control and discharge. Harbin is located in the upper reaches of the Songhua River Basin. The water body in this river section has large fluidity, and the water body in some areas is relatively turbid. The Songhua River runs through Harbin City. Hospitals, schools, and a large number of entertainment places are distributed on both sides of the river. The river also intersects with two other rivers that store sewage. Affected by sewage discharge and human activities, the river water body will be polluted by ARGs to a certain extent, accompanied by a large number of ARB [21]. In this study, cefotaxime, sulfadiazine, tetracycline, gentamicin, and ciprofloxacin were selected for the screening of ARB. These five antibiotics are commonly used in clinical medicine, animal husbandry, and aquaculture, and exposure to these antibiotics could make the surrounding microorganisms obtain antibiotic resistance. These antibiotics, ARB, and ARGs are usually directly discharged into the Songhua River through rainwater washing or indirectly discharged into the Songhua River through sewage treatment plants, which makes the pollution of ARGs in the Songhua River water serious. Therefore, it is very important to understand the pollution of ARGs in the Songhua River, especially the bacterial vectors carrying these ARGs. At the same time, the species of ARB were identified by using bacterial 16S rDNA polymerase chain reaction (PCR) products, and the relationships between the types, concentrations, and distributions of ARB and factors such as time, space, and environment were analyzed. At the same time, the health problems caused by antibiotic-resistant pathogens screened in this study were briefly described.

2. Materials and Methods

2.1. Collection of River Water Samples

In October 2022 (autumn) and April 2023 (spring), surface water samples were collected from the Harbin section of the Songhua River along the downstream site S1 to the upstream site S6. The locations are shown in Figure 1 and Table 1. Each sampling site was repeatedly sampled three times, and the three samples collected were mixed and stored in a 500 mL polypropylene, blue-mouthed brown glass bottle after sterile treatment and washing with water samples. Samples were then stored at 4 °C and transported back to the laboratory for ARB screening.

2.2. Preparation of Antibiotics

Five antibiotics were selected in this study: tetracycline (TET), ciprofloxacin hydrochloride (CIP), sulfadiazine sodium salt (SDZ), gentamicin (GEN), and cefotaxime sodium (CTX) (Table 2). The five antibiotics were prepared into specific concentrations according to the standards established by the Clinical and Laboratory Standards Institute. The antibiotics were dissolved in water and then filtered with a sterile 0.22 μm filter membrane to remove bacteria, and the antibiotics were then stored in the refrigerator at −20 °C.
In this study, ARB were screened on an LB solid medium containing one or more antibiotics, and the combination of multiple antibiotics was selected according to the growth of bacteria on the LB solid medium containing one antibiotic. The final results were the combination of two antibiotics CTX + SDZ, the combination of three antibiotics CTX + SDZ + CIP, the combination of four antibiotics CTX + SDZ + CIP + GEN, and the combination of five antibiotics CTX + SDZ + CIP + GEN + TET.

2.3. Screening of Culturable Bacterial Strains

The medium used in this study was the Luria–Bertani (LB) liquid medium and the LB solid medium containing 1.25% agar. The pH value was 7, and the medium composition was 10 g/L tryptone, 5 g/L yeast extract powder, and 10 g/L NaCl. A total of 200 μL of the sample (including water sample stock solution or samples appropriately diluted and concentrated by sterile water) was evenly coated in the LB solid medium without antibiotics and containing selected antibiotics, and three repeated experiments were carried out. The samples were coated on a sterile ultra-clean bench. The coated medium was placed in a constant temperature incubator and cultured at 30 °C for 24 h. The number of colonies in the medium was controlled between 10 and 300 for colony counting. The proportion of culturable ARB = the number of culturable ARB/the total number of culturable bacteria; the unit is CFU/mL. Single colonies with different sizes, shapes, transparency, smoothness, and colors on the solid medium were selected and cultured overnight at 30 °C in the LB liquid medium containing the same concentration of antibiotics. A small amount of cultured bacterial solution was taken for Gram staining and observed under a microscope. Strains with different sizes, shapes, and colors were selected for 16S rDNA PCR.

2.4. Identification of Culturable Antibiotic-Resistant Strains

A pair of universal primers, 27F (5′-AGAGTTTGATCCTGGCTCAT-3′) and 1492R (5′-GGTTACCTTGTTACGACTT-3′), targeting the 16S rDNA gene were selected for the PCR. Two PCR systems were used in this study. The first reaction system comprised 1 μL bacterial liquid sample, 0.5 μL forward and reverse primers, 10 μL 2 × Taq PCR Master Mix II (with dye), and 8 μL sterile water, making up a total of 20 μL in the reaction system. The second reaction system comprised 1 μL bacterial liquid sample, 2.5 μL 10 × Ex Taq Buffer (Mg+ free), 0.125 μL Takara Ex Taq (5 U/μL), 2 μL MgCl2 (25 mM), 2 μL dNTP Mixture (2.5 mM), 1.25 μL forward and reverse primers, and 14.875 μL sterile water, making up a total of 25 μL in the reaction system. The amplification procedure included heating at 94 °C for 5 min, followed by 30 cycles of heating at 94 °C for 20 s, 55 °C for 30 s, 72 °C for 90 s, and finally extension at 72 °C for 5 min. The PCR products were detected by 1% agarose gel electrophoresis, and the PCR products with positive results were sent to the Shanghai Bioengineering Co., Ltd. (Shanghai, China). for sequencing. The nucleotide sequences of the corresponding antibiotic-resistant strains were compared in the Nucleotide BLAST of the National Center for Biotechnology Information (NCBI), and the sequences of the comparison results and the sample sequences were downloaded and saved in the FASTA format. The sequences saved as FASTA files were aligned using Clustal W in the MEGA11 version 11.0.13 software. The alignment results were used to construct a phylogenetic tree using the MEGA11 version 11.0.13 software to complete the identification of ARB.

2.5. Statistical Analysis

Statistical analyses were performed by IBM SPSS Statistics 20. An analysis of variance test was used to estimate statistically significant differences with a significance level of 5% (p < 0.05). Duncan’s test was used to analyze the seasonal differences in the total number of culturable bacteria and ARB at different sampling sites. The chart was produced by WPS Office Excel and Origin 2019b.

3. Results

3.1. Distribution of Culturable Bacteria

From Figure 2, it can be seen that in the Harbin section of the Songhua River, the concentration of culturable bacteria at the upstream S6 is the highest, and can reach more than 1.0 × 104 CFU/mL in spring and autumn. In the Songhua River in autumn, there was no significant difference in the total number of culturable bacteria at S3, S4, and S5 (p > 0.05), but there was a significant difference compared with the total number of culturable bacteria at S1, S2, and S6 (p < 0.05). The total number of culturable bacteria at S1 was significantly different from that at S2 and S6 (p < 0.05). The total number of culturable bacteria at these three sampling sites showed a trend of S6 > S1 > S2. In the Songhua River water in spring, there was no significant difference in the total number of culturable bacteria at S1, S2, S3, and S4 (p > 0.05), but there was a significant difference compared with the number of culturable bacteria at S6 (p < 0.05). Except for S6, the total number of culturable bacteria at S5 was the highest, which was significantly different from that at S6 (p < 0.05), and significantly different from that at S2, S3, and S4 (p < 0.05). Comparing the total number of culturable bacteria at each sample point in spring and autumn, the total number of culturable bacteria in autumn at sample S1 was higher than that in spring, and the difference was extremely significant (p < 0.001). At sample S2, the total number of culturable bacteria in autumn was also higher than that in spring, and the difference was significant (p < 0.01). There was no seasonal difference in the total number of culturable bacteria at S3 and S4, but at S5 and S6, the total number of culturable bacteria in spring was higher than that in autumn, and the difference was extremely significant (p < 0.001).
ARB were widely distributed in various sample areas of the Songhua River (Figure 3). Among them, tetracycline-resistant bacteria at sampling sites S1, S3, and S4 were more prevalent in autumn than in spring, and there was a significant difference (p < 0.05). The concentration of gentamicin-resistant bacteria was higher in spring than in autumn, with a significant difference (p < 0.01). There was no significant difference in the concentration of ciprofloxacin-resistant bacteria at S1, S2, and S4 (p > 0.05), but there was a significant difference at S3, S5, and S6 (p < 0.01), and the concentration in spring was higher than that in autumn. Except for S6, the concentration of cefotaxime-resistant bacteria in autumn was higher than that in spring, with a significant difference (p < 0.01). The concentration of sulfadiazine-resistant bacteria was significantly different at S1 and S2, and more in autumn than in spring (p < 0.01). There was no significant difference between S3 and S4 (p > 0.05). There was a significant difference between S5 and S6, and more in spring than in autumn (p < 0.001). At the sampling site S6, the concentrations of various ARB in spring were higher than those in autumn, and there was a significant difference (p < 0.01).
At S6 of the Songhua River in spring, the sum of the five types of ARB could reach more than 85% of the total number of culturable bacteria. In the Songhua River in autumn, except for the sample S6, the sum of the five types of ARB in the remaining five sample areas could reach more than 60% of the total number of culturable bacteria in each sampling site. It can be seen from Figure 4 that the ARB in the Songhua River in spring and autumn were mainly cefotaxime-resistant bacteria and sulfadiazine-resistant bacteria, and the concentration of cefotaxime-resistant bacteria was the highest. In spring, the proportion of cefotaxime-resistant bacteria in the Songhua River reached 38.8% at S6 (Figure 5). In autumn, except for S6, the proportion of cefotaxime-resistant bacteria in the other five sampling sites exceeded 50%, and even reached 72.31% at S3 (Figure 6). Secondly, the proportion of sulfadiazine-resistant bacteria at S6 in spring can also reach 26% (Figure 5). Ciprofloxacin-resistant bacteria were screened at all sampling sites in the Songhua River, with the maximum concentration at S6. In autumn, gentamicin-resistant bacteria were not screened at S1 and S2 and tetracycline-resistant bacteria were not screened at S2 and S5. Tetracycline-resistant bacteria were not detected at S2 and S4 in spring (Figure 5). In autumn, the concentration of tetracycline-resistant bacteria and cefotaxime-resistant bacteria at S1 of the Songhua River was the highest, and the concentration of other types of ARB had the maximum value at S6. In spring, the concentration of various types of ARB had the maximum value at S6. It is worth noting that in autumn, multi-antibiotic-resistant bacteria (MARB) were screened only at sampling sites S1 and S6—bacteria resistant to three antibiotics were screened at S1, and bacteria resistant to five antibiotics were screened at S6. In spring, except for the bacteria resistant to two antibiotics at S2, MARB were screened at the other sampling sites, especially at S5 where bacteria resistant to four antibiotics were screened. Bacteria resistant to five antibiotics were still screened at S6 in spring, and the concentration of MARB was higher than that in autumn.

3.2. Identification Results of ARB

In this study, the sequencing results of the bacterial PCR products were compared on NCBI. The selected bacteria were identified according to the sequence alignment results, and all the selected strains were classified. The detailed information is shown in Table 3. A total of 51 ARB strains were screened in the Songhua River in spring and autumn, including 15 genera. The 15 genera were Acinetobacter, Pseudomonas, Priestia, Bacillus, Arthrobacter, Paenarthrobacter, Brevundimonas, Flavobacterium, Peribacillus, Exiguobacterium, Escherichia, Shigella, Aeromonas, Citrobacter, and Lysinibacillus. Among them, there were 20 strains from Pseudomonas, which was the most prevalent bacterial genus of ARB strains screened in Songhua River water. Secondly, there were 6 strains from Bacillus, 5 strains from Acinetobacter, 4 strains from Aeromonas, 2 strains each from Priestia, Arthrobacter, Flavobacterium, Peribacillus, and Escherichia, and 1 strain from each of the other six bacterial genera. In particular, strains with less than 95% sequence similarity to Bacillus and Aeromonas were screened from the water sample. The sequence similarity of one strain with Aeromonas sanarelli was only 84.71% (Figure 7), and the sequence similarity of the other strain with Bacillus fungorum was 88.32% (Figure 8 and Figure 9). These two strains may be new bacterial strains. The sequence data of all the strains screened by the test have been uploaded to GenBank; GenBank number: OR660250-OR660298.

3.3. Distribution of Antibiotic-Resistant Strains

In this study, ARB from the Songhua River were screened and identified. As shown in Table 4, the antibiotic resistance and distribution of these 51 ARB strains from 15 genera were related to the environment and would be affected by environmental factors. The results showed that Pseudomonas were screened out from six sampling sites in Songhua River, and the number was much higher than that of other bacteria. It can be seen that the main ARB in the Songhua River in spring and autumn were from Pseudomonas. Among them, Pseudomonas silesiensis strain A3 was screened in all five sampling sites except for sampling site S6, and the strain only showed resistance to cefotaxime in these five sampling sites. Meanwhile, research has found that strains of Pseudomonas were screened in five single antibiotic culture media. In S3, S4, and S5, Arthrobacter strains resistant only to gentamicin were screened, Paenarthrobacter and Brevundimonas strains resistant to ciprofloxacin were screened at S3, Flavobacterium strains resistant only to gentamicin were screened at S4 and S5, and Exiguobacterium strains resistant to sulfadiazine were screened at S5. In addition, strains of Escherichia, Shigella, Aeromonas, Citrobacter, and Lysinibacillus were only screened at S6. Figure 10 shows that 14 strains of Pseudomonas were resistant to cefotaxime, 7 strains of Pseudomonas were resistant to ciprofloxacin, 7 strains of Pseudomonas were resistant to sulfadiazine, and 3 strains of Pseudomonas alloputida strain Kh7, Pseudomonas persica strain VKh13, and Pseudomonas defluvii strain WCHP16 were even resistant to three antibiotics, and thus belonged to the MARB group. Among the Aeromonas strains screened at S6, one strain was resistant to five antibiotics at the same time. Figure 11 is a phylogenetic tree constructed based on the alignment results of the strain sequence on NCBI, and it can be determined that the strain is the Aeromonas media strain ATCC 33907.

4. Discussion

The screening results of ARB in the Songhua River in different seasons showed that the number of ARB in spring was higher, and the concentration of ARB was generally larger than that in autumn. Part of the reason for the above results may be due to the influence of the seasonal climate, in which the special climate in winter may increase the probability of bacteria in Songhua River obtaining antibiotic resistance. Calero-Cáceres et al. found that the lower irradiance and temperature in winter and increased total organic carbon will lead to an increase in the number of ARB in the water body [22,23]. The probability of horizontal transfer of ARGs also increases under the conditions of contact with various high concentrations of ARB, resulting in bacteria more likely to acquire antibiotic resistance. Secondly, due to the influence of human activities, the water surface of the Songhua River is frozen in winter and the number of recreational activities increases, which leads to the intensification of human activities. A large amount of domestic garbage and drugs left on the ice surface and river bank enter the water body after the ice and snow melt, which may also be one of the reasons why bacteria in the water body after the thawing of the river water in spring obtain more antibiotic resistance [24]. Compared with winter, the higher irradiance and temperature in summer and autumn lead to the degradation of ARGs in the water, which increases the loss of ARGs in the water environment and reduces the number of ARB [25,26]. Moreover, previous studies have confirmed that the degradation of bacteria by sunlight is carried out by photoactivation. After sunlight irradiation, it was observed that Shigella flexneri and Escherichia coli were degraded [27,28]. In addition, the flow state of water can also affect the concentration and distribution of ARB [18]. Previous studies have found that in rivers with a high flow, ARB and ARGs are rapidly diluted by water flow, which is the dilution effect of water flow [29,30]. In areas with large water bodies, faster water flow and strong tides will rapidly dilute and disperse ARB and ARGs in water, resulting in a decrease in the number of ARB in local water bodies. This should be one of the reasons for the small number of ARB in the Songhua River in autumn. However, after entering winter, the flow of water below the ice surface of the Songhua River slowed down, and the dilution effect of water flow on ARB became smaller, which increased the number of ARB in the local range. Moreover, a large number of ARB in the upstream water body was likely to accumulate slowly in the downstream water body, which increased the number of ARB in the downstream water body compared with that in autumn. However, with the increase of distance, it was affected by the filtration of riverbanks and islands in rivers, and the degree of influence became smaller. In this study, the concentration of MARB in the water environment of the Songhua River in spring and the probability of bacteria obtaining multiple antibiotic resistance decreased gradually from upstream S6 to downstream S2, which well explained the influence of water flow state on ARB.
Studies have confirmed that the discharge of wastewater from wastewater treatment plants and hospitals is globally recognized as the main source of ARB and ARGs in the river water environment [31], and the proportion of ARB in river systems is extremely high, up to 98% of the total number of detected bacteria [18]. At S6 of the Songhua River in spring, the proportion of bacteria resistant to the five antibiotics selected in this study reached more than 85% of the total number of culturable bacteria, which also showed this high proportion. According to previous studies, the number of cefotaxime-resistant bacteria [32] and sulfadiazine-resistant bacteria [31] in urban rivers is directly related to the discharge of urban wastewater. The results of this study also directly reflect this relationship. The results of this study showed that the concentration of cefotaxime-resistant bacteria was the highest in the Songhua River in spring and autumn, followed by sulfadiazine-resistant bacteria, which may be affected by the discharge of urban wastewater in Harbin. It can be seen from the geographical location that the sampling site S6 is located at the intersection of the Songhua River and the Hejiagou water body. The Hejiagou water body runs through the main urban area of Harbin, flows through schools and hospitals, and the water body contains a large amount of urban wastewater [33]. This polluted river water is collected at S6 and greatly affects the water quality at S6 [34], resulting in a sharp increase in the amount of cefotaxime-resistant bacteria [32] and sulfadiazine-resistant bacteria [31] in the water. At the same time, a large amount of N, P [35], antibiotics [36], heavy metals [37], and other pollutants in the wastewater also promote the horizontal transfer of ARGs carried by ARB in the water [38], resulting in the concentration of ARB in the water to be significantly higher than that in other sample areas, and a larger number of MARB to be created. In this study, a Aeromonas media strain ATCC 33907 resistant to five antibiotics was screened, which was screened at the S6. This strain may also have other antibiotic resistance, which poses a great threat to human health. In addition, between the sampling sites S1 and S2, the Majiagou River water body and the Songhua River water body converge. The Majiagou River water body also flows through hospitals, schools, and residential areas in the main urban area of Harbin. Similar to the Hejiagou River, the river also receives a large amount of urban sewage, which increases the number of ARB in the Songhua River after confluence with the Songhua River, resulting in the emergence of MARB. Therefore, in the Songhua River in autumn, sample S1 is the area where MARB is screened out, except at sample S6. Therefore, the discharge of urban wastewater will lead to an increase in the number and type of ARB in the water environment, which is more likely to lead to the emergence of MARB, and even the emergence of pathogenic bacteria with multiple antibiotic resistance. In addition, the reason why ARB from Acinetobacter was only screened at S1 and S6 may be directly related to these two rivers.
Antibiotic-resistant pathogens are widely distributed in river water bodies and pose a threat to human health. In this study, ARB from 15 bacterial genera were screened from the Songhua River, and the pathogenic ARB were identified from 8 bacterial genera including Pseudomonas, Acinetobacter, Brevundimonas, Flavobacterium, Escherichia, Aeromonas, Citrobacter, and Shigella. Among them, Pseudomonas is often distributed in water, air, soil, and plants. It can cause infections of human and plant wounds, and even cause infections of the human urethra and respiratory tract [39]. The pathogenicity of Acinetobacter is to cause infection when the body’s resistance is reduced, which can cause respiratory and wound infections, and in severe cases can lead to death. It is often distributed in hospitals, water, and soil [40]. A strain of Brevundimonas vesicularis screened in this study is a rare opportunistic pathogen in humans. It is usually distributed in soil and rivers and can infect people with low immunity. After infection, it can cause bacteremia [41]. Flavobacterium is often distributed in water, soil, and plants. It is also one of the common opportunistic pathogens causing hospital infections. When the body’s immunity declines, it may cause infection, and the most susceptible population is newborns [42]. Escherichia is mainly distributed in the intestinal tract and natural environment of humans and animals. When the body’s immunity is low, certain serotype strains can cause various inflammations. For example, the strain Escherichia fergusonii screened in this study can cause infections in humans and animals [43], including traumatic and urinary tract infections. Aeromonas is mainly distributed in the water environment, and strains with virulence factors have pathogenic ability. For example, the strain Aeromonas hydrophila screened in this study can produce cytotoxins, enterotoxins, and hemolysins, which can cause diarrhea and wound and soft tissue infections. Aeromonas hydrophila is also a common pathogen of aquatic animals, especially fish [44]. Citrobacter is mainly distributed in water, soil, and food. It is a common flora in humans and animals, and it is also an opportunistic pathogen [45]. When the body’s resistance is reduced, it can cause a series of infections involving the body’s intestine, respiratory tract, and blood. Shigella is the most common pathogen, which can easily spread rapidly between people. It can be divided into four serum groups: Shigella flexneri, Shigella dysenteriae, Shigella boydii, and Shigella sonnei [46]. The strain of Shigella flexneri screened in this study is a major epidemic pathogen in China, which can lead to invasive infection [47]. The above eight pathogenic bacteria screened from the Songhua River water body pose a great threat to human health. Most frighteningly, these bacteria have developed resistance to multiple antibiotics.
Bacteria are the carriers of antibiotic resistance genes. The concentration of ARB in Songhua River water can reflect the degree of pollution of ARGs in water. The results of this study showed that the pollution of ARGs in the Songhua River was serious, especially for cefotaxime resistance genes and sulfadiazine resistance genes. The presence of a large number of cefotaxime-resistant bacteria and sulfadiazine-resistant bacteria has aggravated the spread of these two ARGs. In particular, these two antibiotics are commonly used antibiotics in clinical medicine. The high concentration and wide spread of these two ARB and ARGs have seriously threatened human health. In addition, the presence of other types of ARB also poses certain ecological risks. Although the concentration of these ARB in the water is very low, a large number of microorganisms in the water also provide carriers for these types of ARGs. Under the influence of natural and human factors for a certain period of time, these ARB and ARGs will also be produced and widely spread.

5. Conclusions

In this study, ARB were screened at six sampling sites in the Songhua River in spring and autumn. The results showed that seasonal changes and human activities had certain effects on the concentration and distribution of ARB. Among them, the concentration of MARB was higher and the distribution was wider in spring. The concentration of ARB at the sampling site S6 was generally higher than other sampling sites in spring and autumn. Geographical factors also had a certain correlation with the distribution of ARB. The water quality of river water throughout the urban development area was easily affected by wastewater discharge from factories, schools, hospitals, and residential areas, which directly promoted the spread of ARGs and the emergence of MARB. Through the identification of the screened ARB, it was found that there were antibiotic-resistant pathogenic bacteria threatening human health in the Songhua River, especially at sampling site S6. The results of this study show that there is a great risk of direct contact with urban rivers and the use of rivers for crop irrigation. For the sake of human health, reasonable measures should be taken to eliminate ARG pollution in urban rivers and ARB in water bodies, and to protect freshwater resources.

Author Contributions

Conceptualization, Q.X. and X.W. (Xin Wang 2); methodology, Q.X. and X.W. (Xin Wang 2); software, Q.X.; validation, Q.X. and X.W. (Xin Wang 1); investigation, Q.X., X.W. (Xin Wang 1), C.X., Q.H. and W.C.; resources, X.W. (Xin Wang 2); data curation, Q.X. and X.W. (Xin Wang 1); writing—original draft preparation, Q.X.; writing—review and editing, Q.X.; visualization, Q.X. and X.W. (Xin Wang 2); project administration, X.W. (Xin Wang 2); acquisition, X.W. (Xin Wang 2). All authors have read and agreed to the published version of the manuscript.

Funding

This work was funded by the Natural Sciences Foundation of Heilongjiang Province (HL2023C089) and the National Innovative Entrepreneurship Training Program For Undergraduates (202310212028S).

Data Availability Statement

Data are contained within the article.

Conflicts of Interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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Figure 1. Regional location and Songhua River sampling site distribution. The symbol S denotes the Songhua River.
Figure 1. Regional location and Songhua River sampling site distribution. The symbol S denotes the Songhua River.
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Figure 2. The total number of culturable bacteria at each sampling site in autumn and spring was compared by Duncan’s test. Different letters indicate a significant difference (p < 0.05) among different treatments. The difference of the total number of culturable bacteria at each sampling site in autumn was indicated by uppercase letters and the difference of the total number of culturable bacteria at each sampling site in spring was indicated by lowercase letters. The seasonal difference of the total number of culturable bacteria at each sampling site was indicated by asterisks (*), where ** (p < 0.01), and *** (p < 0.001). The lines in the figure represent the range of the quartiles.
Figure 2. The total number of culturable bacteria at each sampling site in autumn and spring was compared by Duncan’s test. Different letters indicate a significant difference (p < 0.05) among different treatments. The difference of the total number of culturable bacteria at each sampling site in autumn was indicated by uppercase letters and the difference of the total number of culturable bacteria at each sampling site in spring was indicated by lowercase letters. The seasonal difference of the total number of culturable bacteria at each sampling site was indicated by asterisks (*), where ** (p < 0.01), and *** (p < 0.001). The lines in the figure represent the range of the quartiles.
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Figure 3. The seasonal differences in ARB at different sampling sites. Seasonal differences among ARB were tested using Duncan’s test, indicated with * (p < 0.05), ** (p < 0.01), and *** (p < 0.001). The unit is CFU/mL. The lines in the figure represent the range of the quartiles.
Figure 3. The seasonal differences in ARB at different sampling sites. Seasonal differences among ARB were tested using Duncan’s test, indicated with * (p < 0.05), ** (p < 0.01), and *** (p < 0.001). The unit is CFU/mL. The lines in the figure represent the range of the quartiles.
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Figure 4. The concentration of various ARB at each sampling site in the Songhua River in spring and autumn.
Figure 4. The concentration of various ARB at each sampling site in the Songhua River in spring and autumn.
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Figure 5. Proportion of ARB at each sampling site in spring. The white part is the maximum value of the data, which is outside the gradient range.
Figure 5. Proportion of ARB at each sampling site in spring. The white part is the maximum value of the data, which is outside the gradient range.
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Figure 6. Proportion of ARB at each sampling site in autumn. The white part is the maximum value of the data, which is outside the gradient range.
Figure 6. Proportion of ARB at each sampling site in autumn. The white part is the maximum value of the data, which is outside the gradient range.
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Figure 7. A strain sequence with a homologous similarity of 84.71% to Aeromonas.
Figure 7. A strain sequence with a homologous similarity of 84.71% to Aeromonas.
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Figure 8. A strain sequence with a homologous similarity of 88.32% to Bacillus.
Figure 8. A strain sequence with a homologous similarity of 88.32% to Bacillus.
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Figure 9. The phylogenetic tree constructed by the sequence of a strain with a homologous similarity of 88.32% to Bacillus. The red diamond pattern represents the bacterial strain used for sequence alignment.
Figure 9. The phylogenetic tree constructed by the sequence of a strain with a homologous similarity of 88.32% to Bacillus. The red diamond pattern represents the bacterial strain used for sequence alignment.
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Figure 10. Antibiotic resistance and genetic relationship of the 51 ARB. (A) represents the strain with 84.71% similarity to Aeromonas sanarelli, and (B) represents the strain with 88.32% similarity to Bacillus fungorum.
Figure 10. Antibiotic resistance and genetic relationship of the 51 ARB. (A) represents the strain with 84.71% similarity to Aeromonas sanarelli, and (B) represents the strain with 88.32% similarity to Bacillus fungorum.
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Figure 11. Phylogenetic tree constructed by nucleotide sequences of bacteria resistant to five antibiotics. The red diamond pattern represents the bacterial strain used for sequence alignment.
Figure 11. Phylogenetic tree constructed by nucleotide sequences of bacteria resistant to five antibiotics. The red diamond pattern represents the bacterial strain used for sequence alignment.
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Table 1. Songhua River sampling site information.
Table 1. Songhua River sampling site information.
Position NumberPositional InformationNorth LatitudeEast Longitude
S1Near Heilongjiang Shipyard Machinery Factory45°83′31.31″126°72′33.72″
S2Songpu Bridge45°80′44.89″126°66′45.87″
S3Songhua River Railway Bridge45°79′13.18″126°63′45.78″
S4Near People’s Square45°78′10.61″126°60′71.49″
S5Songhua River Highway Bridge45°76′94.94″126°59′83.28″
S6The intersection of Hejiagou River and Songhua River45°76′10.44″126°58′22.34″
Table 2. Antibiotic information for the experiment.
Table 2. Antibiotic information for the experiment.
AntibioticReserve Solution ConcentrationFinal ConcentrationCategory
TET50 mg/mL16 μg/mLTetracycline class
GEN16 mg/mL16 μg/mLAminoglycosides
CIP4 mg/mL4 μg/mLQuinolones
CTX4 mg/mL4 μg/mLβ-Lactamides
SDZ512 mg/mL512 μg/mLSulfonamides
Table 3. Information of the 51 ARB in the Songhua River.
Table 3. Information of the 51 ARB in the Songhua River.
No.SpeciesLength (bp)CoverageIdentity Accession
1Acinetobacter bouvetii1530100%98.34%NR_117628.1
2Acinetobacter movanagherensis1331100%99.86%NR_145841.1
3Acinetobacter kyonggiensis1395100%99.17%NR_116714.1
4Acinetobacter piscicola150199%96.32%NR_159919.1
5Acinetobacter oryzae1499100%99.72%NR_180005.1
6Pseudomonas vancouverensis1492100%99.72%NR_041953.1
7Pseudomonas silesiensis1539100%100%NR_156815.1
8Pseudomonas oryzihabitans1527100%99.31%NR_025881.1
9Pseudomonas mohnii1459100%98.89%NR_042543.1
10Pseudomonas paracarnis1431100%99.31%NR_178976.1
11Pseudomonas alloputida1464100%99.86%NR_179595.1
12Pseudomonas umsongensis1455100%100%NR_025227.1
13Pseudomonas qingdaonensis1525100%100%NR_169411.1
14Pseudomonas kielensis1537100%100%NR_181570.1
15Pseudomonas kilonensis1528100%100%NR_028929.1
16Pseudomonas peli1497100%99.31%NR_042451.1
17Pseudomonas promysalinigenes1331100%99.86%NR_178291.1
18Pseudomonas petroselini1494100%99.86%NR_179384.1
19Pseudomonas mandelii1518100%100%NR_024902.1
20Pseudomonas lactis1428100%100%NR_156986.1
21Pseudomonas chengduensis152999%97.49%NR_125523.1
22Pseudomonas laurylsulfativorans1499100%99.72%NR_179728.1
23Pseudomonas arcuscaelestis1567100%99.86%NR_181857.1
24Pseudomonas defluvii1532100%100%NR_179168.1
25Pseudomonas persica1472100%98.34%NR_179596.1
26Priestia qingshengii1455100%99.31%NR_133978.1
27Priestia megaterium1495100%99.86%NR_117473.1
28Bacillus mycoides1477100%99.86%NR_113996.1
29Bacillus thuringiensis1544100%99.86%NR_121761.1
30Bacillus proteolyticus1509100%99.86%NR_157735.1
31Bacillus altitudinis1506100%100%NR_042337.1
32Bacillus zhangzhouensis1513100%99.86%NR_148786.1
33Bacillus fungorum157687%88.32%NR_170494.1
34Arthrobacter oryzae1465100%99.72%NR_041545.1
35Arthrobacter ginsengisoli1454100%99.31%NR_178602.1
36Paenarthrobacter nicotinovorans1468100%99.58%NR_026194.1
37Brevundimonas vesicularis1386100%99.72%NR_113586.1
38Flavobacterium tructae1458100%99.86%NR_133749.1
39Flavobacterium suzhouense1477100%99.31%NR_178734.1
40Peribacillus frigoritolerans1503100%98.89%NR_117474.1
41Peribacillus simplex1522100%100%NR_042136.1
42Exiguobacterium undae1550100%99.86%NR_043477.1
43Escherichia marmotae1504100%99.17%NR_136472.1
44Escherichia fergusonii1542100%99.45%NR_074902.1
45Shigella flexneri1488100%99.86%NR_026331.1
46Aeromonas media1460100%99.86%NR_119041.1
47Aeromonas hydrophila subsp. ranae1350100%99.72%NR_042518.1
48Aeromonas hydrophila1460100%100%NR_119039.1
49Aeromonas sanarellii150385%84.71%NR_116584.1
50Citrobacter pasteurii1492100%99.86%NR_178769.1
51Lysinibacillus composti1475100%99.86%NR_126171.1
Table 4. Distribution of antibiotic-resistant strains in the Songhua River.
Table 4. Distribution of antibiotic-resistant strains in the Songhua River.
ARBsAntibiotics
Acinetobacter bouvetii strain DSM 14964S1-TET
Acinetobacter movanagherensis strain Movanagher 4S1-TET, CIP
Acinetobacter kyonggiensis strain KSL5401-037S1-TET
Acinetobacter piscicola strain LW15S1-TET
Acinetobacter oryzae strain B23S6-TET
Acinetobacter movanagherensis strain Movanagher 4S6-TET
Pseudomonas vancouverensis strain DhA-51S1-TET
Pseudomonas alloputida strain Kh7S1-CIP, SDZ, CTX
Pseudomonas umsongensis strain Ps 3-10S1-SDZ, CTX
Pseudomonas qingdaonensis strain JJ3S1-SDZ, CTX
Pseudomonas silesiensis strain A3S1-CTX
Pseudomonas oryzihabitans strain L-1S1-CTX
Pseudomonas mohnii strain IpA-2S1-CTX
Pseudomonas paracarnis strain V5/DAB/2/5S1-CTX
Pseudomonas alloputida strain Kh7S1-CTX + SDZ
Pseudomonas umsongensis strain Ps 3-10S1-CTX + SDZ
Pseudomonas qingdaonensis strain JJ3S1-CTX + SDZ
Pseudomonas alloputida strain Kh7S1-CTX + SDZ + CIP
Pseudomonas kielensis strain MBT-1S2-CTX
Pseudomonas kilonensis strain 520-20S2-CTX
Pseudomonas silesiensis strain A3S2-CTX
Pseudomonas peli strain R-20805S2-CTX, CIP
Pseudomonas promysalinigenes strain RW10S1S2-CIP
Pseudomonas petroselini strain MAFF 311094S2-CIP
Pseudomonas vancouverensis strain DhA-51S3-TET, GEN
Pseudomonas umsongensis strain Ps 3-10S3-TET
Pseudomonas silesiensis strain A3S3-CTX
Pseudomonas mandelii strain CIP 105273S3-CTX
Pseudomonas lactis strain DSM 29167S3-SDZ
Pseudomonas chengduensis strain MBRS4-CTX
Pseudomonas silesiensis strain A3S4-CTX
Pseudomonas vancouverensis strain DhA-51S4-GEN
Pseudomonas peli strain R-20805S4-TET, CIP
Pseudomonas laurylsulfativorans strain AP3_22S5-SDZ
Pseudomonas silesiensis strain A3S5-CTX
Pseudomonas kielensis strain MBT-1S5-CTX
Pseudomonas umsongensis strain Ps 3-10S5-CTX
Pseudomonas peli strain R-20805S5-CIP
Pseudomonas arcuscaelestis strain P66S6-CIP
Pseudomonas defluvii strain WCHP16S6-CIP, CTX, SDZ
Pseudomonas persica strain VKh13S6-CIP, CTX, SDZ
Pseudomonas defluvii strain WCHP16S6-CTX + SDZ
Pseudomonas persica strain VKh13S6-CTX + SDZ
Pseudomonas persica strain VKh13S6-CTX + SDZ + CIP
Pseudomonas defluvii strain WCHP16S6-CTX + SDZ + CIP
Priestia qingshengii strain G19S1-SDZ
Priestia megaterium strain ATCC 14581S4-SDZ
Priestia megaterium strain ATCC 14581S6-CTX
Bacillus mycoides strain NBRC 101238S1-CTX, SDZ
Bacillus mycoides strain NBRC 101238S1-CTX + SDZ
Bacillus thuringiensis strain IAM 12077S2-CTX, SDZ
Bacillus proteolyticus strain MCCC 1A00365S3-SDZ
Bacillus altitudinis 41KF2bS5-CTX
Bacillus zhangzhouensis strain MCCC 1A08372S5-CTX
Bacillus thuringiensis strain IAM 12077S6-CTX, SDZ
Bacillus fungorum strain 17-SMS-01S6-CTX, SDZ
Bacillus thuringiensis strain IAM 12077S6-CTX + SDZ
Bacillus fungorum strain 17-SMS-01S6-CTX + SDZ
Arthrobacter ginsengisoli strain DCY81S3-GEN
Arthrobacter oryzae strain KV-651S4-GEN
Arthrobacter oryzae strain KV-651S5-GEN
Paenarthrobacter nicotinovorans strain DSM 420S3-CIP
Brevundimonas vesicularis strain NBRC 12165S3-CIP
Flavobacterium tructae strain 435-08S4-GEN
Flavobacterium suzhouense strain XIN-1S5-GEN
Peribacillus frigoritolerans strain DSM 8801S4-SDZ
Peribacillus simplex NBRC 15720 = DSM 1321S5-SDZ
Peribacillus frigoritolerans strain DSM 8801S6-CTX
Exiguobacterium undae strain DSM 14481S5-SDZ
Escherichia marmotae strain HT073016S6-TET
Escherichia fergusonii ATCC 35469S6-TET
Shigella flexneri strain ATCC 29903S6-TET, CIP
Aeromonas media strain ATCC 33907S6-TET, GEN, CTX, CIP, SDZ
Aeromonas hydrophila subsp. ranae strain Au-1D12S6-GEN, CTX
Aeromonas hydrophila strain ATCC 7966S6-GEN
Aeromonas sanarellii strain A2-67S6-CIP
Aeromonas media strain ATCC 33907S6-CTX + SDZ
Aeromonas media strain ATCC 33907S6-CTX + SDZ + CIP
Aeromonas media strain ATCC 33907S6-CTX + SDZ + CIP + GEN
Aeromonas media strain ATCC 33907S6-CTX + SDZ + CIP + GEN + TET
Citrobacter pasteurii strain CIP55.13S6-CIP
Lysinibacillus composti strain NCCP-36S6-SDZ
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Xiao, Q.; Wang, X.; Xu, C.; Chen, W.; Huang, Q.; Wang, X. Spatial Distribution and Seasonal Variation of Antibiotic-Resistant Bacteria in an Urban River in Northeast China. Water 2024, 16, 1268. https://doi.org/10.3390/w16091268

AMA Style

Xiao Q, Wang X, Xu C, Chen W, Huang Q, Wang X. Spatial Distribution and Seasonal Variation of Antibiotic-Resistant Bacteria in an Urban River in Northeast China. Water. 2024; 16(9):1268. https://doi.org/10.3390/w16091268

Chicago/Turabian Style

Xiao, Qingshan, Xin Wang, Chongxin Xu, Wei Chen, Qianchi Huang, and Xin Wang. 2024. "Spatial Distribution and Seasonal Variation of Antibiotic-Resistant Bacteria in an Urban River in Northeast China" Water 16, no. 9: 1268. https://doi.org/10.3390/w16091268

APA Style

Xiao, Q., Wang, X., Xu, C., Chen, W., Huang, Q., & Wang, X. (2024). Spatial Distribution and Seasonal Variation of Antibiotic-Resistant Bacteria in an Urban River in Northeast China. Water, 16(9), 1268. https://doi.org/10.3390/w16091268

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