Skip to main content
Download PDF

Local characteristics of molecular epidemiolgy of Acinetobacter baumannii in Jilin province (northeast China)

BMC Microbiology volume 23, Article number: 19 (2023) Cite this article

Abstract

A. Baumannii is an opportunistic nosocomial pathogen which has severe antibiotic resistance. However, the epidemiology is less clearly understood in Jilin province and China. Thus, 89 A. baumannii isolates from a single hospital in Jilin province between 2013–2017 were performed by MLST. In order to better understanding of the epidemiology of Jilin isolates, Chinese strains originated from other domestic regions and worldwide isolates in MLST database were analyzed by silico phylogenetic tools together. A total of 22 STs in Jilin were identified, and 10 STs were found to be novel. The top three predominant sequence types are ST195 (n = 34, 38.2%), ST208 (n = 14, 15.7%) and ST540 (n = 13, 14.6%). ST369 is predicted to be group founder and ST195, ST540 are subgroup founders of the majority STs in Jilin Province. Some newly discovered singletons showed close relationship with strains from other countries, which suggest that nation-cross transmission is one of important origin of Jilin strains. The majority of Jilin STs showed clonality and close relationship with the majorities from other regions of China. But occupation of individual STs in Jilin were different from that of other domestic regions. The aggregation trend and genetic relationship proved that predominant Jilin STs continue to mutate during transmission. Drug resistance facilitated transmission of Jilin A.baumannii isolates because more than 94% of isolates are resistant to at least one carbapenem and the STs with strong resistance to carbapenems usually has more isolates. In conclusion, high diversity and different occupation of STs, and occupation of novel STs proved that epidemiology of A. baumannii in Jilin has special regional characteristics, and drug resistance facilitated transmission of domestic strains and foreign strains.

Highlights

1. The epidemiology of A. baumannii in Jilin Province showed distinctive local characteristic.

2. Newly discovered sequence types (STs), the results of genetic relatedness and geographical distribution of all STs showed epidemiological research by multi-locus sequence typing (MLST) in single hospital is helpful to monitor and control nosocomial infection of A. baumannii.

3. The rate of carbapenems resistance among A. baumannii is about 94% in Jilin province (northeast China). Carbapenems resistance is a helpful factor for predominant STs spreading.

Peer Review reports

Introduction

The gram-negative bacterium A. baumannii is an opportunistic nosocomial pathogen inducing a vast array of infections, of which the most common infections are ventilator-associated pneumonia and bloodstream infections with high mortality rate [1]. Multidrug resistance (MDR) limits therapeutic options and impacts on clinical care. Although carbapenems were considered the mainstay against MDR A. baumannii infections, carbapenem resistant A. baumannii has been prioritized as the top one of WHO priority pathogens list that are urgent to research and develop new antibiotics [2, 3]. However, infection prevention and control are most effective when applied at the earliest possible stage. Molecular epidemiology is an indispensable tool to early monitor the connection of pathogen clusters with infections, which is also helpful to identify the origin of causative organisms and investigate healthcare-associated infections [4].

MLST is a proven tool for the molecular typing of A. baumannii, MLST helps not only in tracking the sequence types (STs) and outbreaks, but also in understanding the microbial evolution [5]. The relevant cluster analysis based on STs also presents several advantages, such as the ease of interpretation and the creation of hierarchical grouping of the isolates. Moreover, it provides a global overview of the relatedness of the isolates and how the defined clusters are connected to each other [6].

In China, carbapenems resistant A. baumannii is also on the rise, which has become a serious threat to public health [7]. Some papers on MLST showed that clonal complex 92 (CC92) is the predominant group with the widest distribution in Chinese mainland [8,9,10]. However, to our knowledge, the strains in these studies were mainly isolated from other regions of China. The epidemiology of A. baumannii is less clearly understood in Jilin province as only six Jilin strains with same ST were registered in MLST database before our study. Therefore, STs of 89 A. baumannii isolates from a single hospital in Jilin between 2013–2017 were analyzed by MLST and other silico phylogenetic tools. For the sake of analyzing regional characteristics, previously registered Chinese isolates and large amount of global collection of A. baumannii from MLST database (https://pubmlst.org/organisms/acinetobacter-baumannii) were also covered in this study.

Results

Among obtained STs, the number of alleles in each locus varied from 5 to 14 and that of SNPs ranged from 5 to 63. The sequence diversity of each locus ranged from 2.98 to 6.40% with average value of 3.83%. Furthermore, nucleotide diversity (Ï€) in this study was in the range of 0.00413 to 0.03514 (Table 1).

Table 1 Property of the MLST loci in A baumannii in this study
Full size table

Antimicrobial susceptibility

The result of antimicrobial susceptibility is shown in Table 2. Totally, the resistant portions of Jilin isolates to ertapenem, imipenem, meropenem, tigecycline, and colistin B are 91.01% (n = 81), 87.64% (n = 78), 89.89% (n = 80), 7.86% (n = 7), and 13.48% (n = 12), respectively. Twelve isolates were found to be sensitive to at least one of tested carbapenems. The overwhelming majority in our Jilin isolates (77/89) were resistant to all tested carbapenems, and 75 of them were at least sensitive to one or both of tigecycline and colistin B. But one isolate was resistant to all tested antibiotics including tigecycline and colistin B.

Table 2 Isolates study based on the geographical location, ST(MLST(Oxford)), year of isolation, antimicrobial susceptibility
Full size table

MLST analysis

Among 89 Jilin isolates, 22 STs were identified, among them ten STs including ST2370, ST2393, ST2395, ST2396, ST2397 ST2398, ST2399, ST2400, ST2401, and ST2402 were found for the first time. It should be noted, ST1779, with 6 isolates, was not recognized as novel ST in MLST Database, but the clues to the existence of ST1779 was hardly to be founded. The frequencies of STs ranged from 1–34 with ST195 (n = 34), ST208 (n = 14), ST540 (n = 13), ST1779 (n = 6), ST368 (n = 3), ST218 (n = 2) and ST369 (n = 2) as the majority. All newly discovered STs just occupied one isolate in this study. The previously registered ST75 was not found in this study.

The association between Jilin STs and carbapenem resistance

ST 195 (n = 3), ST373 (n = 1), ST699 (n = 1), ST2395 (n = 1), ST2396 (n = 1), ST2397 (n = 1), ST2398 (n = 1), ST2399 (n = 1), ST2401 (n = 1), and ST2402 (n = 1) were found to be sensitive to at least one of tested carbapenems, and among them just ST195, ST373 and ST699 were previously discovered STs. The occupation of carbapenems sensitive isolates in all previously discovered STs was about 7.6% (6/79), while that in newly discovered STs was 70% (7/10). The attempts have been done to ensure the association between the STs and the antimicrobial susceptibility. In this study, ST373 (n = 1), ST699 (n = 1), ST2395 (n = 1), ST2396 (n = 1), ST2397 (n = 1), ST2399 (n = 1), ST2401 (n = 1), ST2402 (n = 1) were found to be sensitive to ertapenem, imipenem and meropenem in general, the overwhelming majority isolates of other STs are non-sensitive to three carbapenems antimicrobial, and association was statistically significant (P < 0.001, by Fisher’s precision probability test). The association between the STs and the carbapenem sensitivity was showed in Fig. 1.

Fig. 1
figure 1

PHYLOViZ Online analysis showing the genetic relationship and three carbapenems antibiotics among Jilin province in this study. Each dot represents a distinct ST. STs in green color are resistant isolates, and STs in orange color are sensitive isolates

Full size image

Genetic relatedness

ST195, ST208, ST218, ST368, ST369, and ST540, which are predominant STs in Jilin could be classified into CC92 group. However, other main STs in Jilin including ST1779, ST1926, and ST2370, could not be classified into CC92 group because of lacking sufficient alleles of the loci in housekeeping genes. It must be pointed out that although ST1779 (n = 6) is not a novel ST, it has never been founded in MLST database before.

The goeBURST analysis within the scope of Jilin isolates showed that 78 our isolates in nine STs and six previous isolates in ST75 could be classified into a big group with ST369 as group founder and ST195, ST540 as subgroup founders (Fig. 2A). And among 10 novel STs, 8 newly identified STs are singletons without any association with other Jilin isolates (Fig. 2A). The details of locus variation in goeBURST algorithm were displayed in Table 3.

Fig. 2
figure 2

Group A (Jilin): genetic relationship of A. baumannii isolates of Jilin province using goeBURST (ST75 is obtained from MLST database, other 22 STs are obtained in this study, * refers to novel ST that is found in this study). And Group B (Chinese Major ST): genetic relationship of the majority A. baumannii isolates of China using goeBURST. Yellow node refers to group founder, red node refers to subgroup founder, light blue refers to common node

Full size image
Table 3 Description of STs based on goeBURST analysis and the earliest year of occurrence in Jilin province
Full size table

In the nationwide analysis, ST369 was also a group founder with ST136, ST195, ST208, ST350 and ST540 as subgroup founders (Fig. 2B). The locations and distribution of Jilin STs in nationwide unrooted tree were like that in Jilin tree, but there was no nationwide subgroup founders ST136, ST350 and their downstream branches in Jilin tree. Subgroup founder ST208 had several variant STs, which located in three downstream branches. But in Jilin, as a predominant ST (14/89), ST208 did not occupy any variant and branches. This phenomenon suggested that ST208 in Jilin possibly was not a local isolate. It came from other domestic regions and induced an outbreak in our sample-taking hospital. Same to ST469, which was identified as a singleton in Jilin, but in nationwide, ST469 was variant of ST350, which was not detected in Jilin isolates (Fig. 2).

In worldwide analysis (Fig. 3), the majority of Jilin STs are classified in Group 1 along with predominant STs from Australia, France, Germany, Iraq, Italy, Japan, Malaysia, Russia, Saudi Arabia, Singapore, South Korea, Thailand, and the USA. And some Jilin STs are closely related to predominant STs from Australia, Bolivia, Brazil, India, South Korea, Russia, Iraq, and the USA in Group 4. ST2397 from Jilin had close relationship with French predominant ST2289 in Group 2. ST2402 is grouped in ‘Group 8’ along with predominant ST (ST2225) from Saudi Arabia. Among the novel STs in Jilin, only ST2399 without closely related strains in other countries, and it is divided into group 7 alone.

Fig. 3
figure 3

The evolutionary history inferred using the UPGMA method. The analysis involved 22 STs of this study from Jilin province which are shaded in red, another 10 predominant STs of China and selected 120 predominant STs from other countries. Jilin STs with * were newly discovered STs. Excepting ST2370, 2396 and 2398, that were distributed in the first group together with the predominant STs in China, the other newly discovered Jilin STs were distributed in other groups, which showed that these STs had closer relationship with foreign isolates

Full size image

Genetic relatedness and geographical distribution

By 19th of June 2021, total number of A. baumannii isolates was 3303 in MLST database, among them 653 were Chinese isolates.In China, 653 isolates distributed in 329 STs with frequency range 1–56, and major STs were ST1145 (n = 56), ST195 (n = 36), ST92 (n = 32), ST208 (n = 25), ST75 (n = 22), ST540 (n = 19), ST1417 (n = 17), ST138 (n = 10), ST191 (n = 10) and ST368 (n = 8). Jilin predominant STs shared same group founder ST369 with all STs of Guizhou (southeast China), and some sporadic isolates from other regions. But predominant STs in Guizhou were ST1646, ST1417, ST1145, ST2200, ST2208, ST2207, ST2204, ST1658, and ST1144 in Guizhou, which showed different origin and evolution trend from Jilin. The aggregation trend was not found in STs isolated from Zhejiang (east China), Shanghai (east China), Guangdong (south China), Fujian (south China), and Beijing (north China) (Fig. 4).

Fig. 4
figure 4

PHYLOViZ Online analysis showing the genetic relationship among China collection of sequence types (STs) of A. baumannii. Each dot in different color represents a distinct ST from different domestic regions. Jilin majorities were distributed in the yellow covered branches

Full size image

If the analysis was performed worldwide, all STs were divided into six groups as shown in Fig. 5. All Chinese A. baumannii predominant STs belonged to Group F (Fig. 6).

Fig. 5
figure 5

PHYLOViZ Online analysis shows the genetic relationship among continental collections of A. baumannii STs. Each dot represents a distinct ST. Group A (most of the STs from South America and Asia) is shaded in pink, Group B (most of the STs from Asia) is shaded in orange, Group C (most of the STs from Europe, Asia and North America) is shaded in green, Group D (most of the STs from Europe, Asia and South America) is shaded in blue, Group E (most of the STs from Asia, South America and North America) is shaded in purple, Group F (most of the STs from Asia, Europe and North America) is shaded in gray

Full size image
Fig. 6
figure 6

PHYLOViZ Online analysis shows the genetic relationship among different countries’ collection of A. baumannii STs. Each dot in different represents a distinct ST from different countries. The distributions of all STs are similar to that in Fig. 5, and all predominant STs of China were grouped in group F that mainly contained Asia isolates

Full size image

Discussion

In this study, all isolates came from single hospital, the overall diversity (STs/isolate) was about 0.247 (22/89) was not high, but the proportion of newly discoved ST and their origin were over our expectation. Ten novel STs were identified in 89 isolates, it could be said that the results of this study contributed newer STs to the MLST database. And many of newly discovered STs just with 1 isolate were regarded as singleton lacking relationship with previous discovered Chinese STs, but had closer relationship with foreign STs, which suggested that they are maybe the variant of foreign strains. The new immigrant with strong resistance, such as ST2933, should be paid more attention to continuously monitor and control its epidemiology because it will get more opportunities to spread and are more likely to become dominant strains in the future.

But isolates with domestic origin, such as ST208, which could be considered as a model to evaluate nosocomial infection of A. baumannii in this hospital. As a nation level major ST, ST208 had many variants and evolution branches (Fig. 2B), but in Jilin it had high occupation (14/89) without any variants and evolution branches (Fig. 2A), which suggested that it spread to this hospital and caused a nosocomial outbreak within short period. So, the samples being taken from single hospital was still helpful to epidemiological research, prevent and control A. baumannii infection. And the causative pathogen could be identified quickly, and infection prevention and control measures could be applied earlier if daily routine molecular typing is implemented [4].

The majority (81.1%) of Jilin STs belonged to CC92 group, which is the largest and most widely distributed A. baumannii clone in China [8]. According to the published articles about A. baumannii research in China [8, 11,12,13,14,15,16,17], epidemic STs in Jilin appeared earlier than non-epidemic STs in Jilin. But in Jilin isolates, some major Chinese STs in CC92 group were not founded, such as ST191 (Beijing and Hunan) [18, 19] and ST1145 (Guangdong) [20]. And the epidemic ST92, which was predicted to be the group founder of CC92 group, was never found in Jilin province too.

Multidrug resistance strains (MDR) of A. baumannii have increased because of the acquirement of mobile genetic elements such as transposons, plasmids, and integrons. Especially, carbapenems resistant A. baumannii (CR-Ab) is a worldwide problem because these strains are often resistant to all other commonly used antibiotics [21]. In the hospital, the antibiotic susceptibility of all Jilin isolates was routinely tested by K-B method. The tested antibiotics include amikacin, gentamicin, imipenem, meropenem, cefazolin, ceftazidime, cefotaxime, cefepime, aztreonam, ampicillin, piperacillin, amoxicillin/clavulanic acid, ampicillin/sulbactam, piperacillin/tazobactam, polymyxin, compound sulfonamide, chloramphenicol, ciprofloxacin, levofloxacin and tetracycline. Almost all isolates are resistant to cephalosporins, penicillins, gentamicin, and ciprofloxacin. As carbapenem is used as last line antibiotic treatment to eliminate infections with multidrug-resistant Gram-negative bacteria [21], we tested the carbapenems resistance in the lab again. At same time, resistance against tigecycline and colistin B were also tested again because they usually are members of final choices in China. The STs with earlier appearance and the stronger resistance, had more isolates, such as ST195 and ST540. Four isolates sensitive to all tested carbapenems distributed in ST373, ST2397, ST2399, and ST2402. STs, including ST373, ST2397, ST2399 and ST2402, which just occupied one isolates that sensitive to all tested carbapenems. Although the single isolates of ST373 appeared early in 2013, it was not found in following years because the sensitivity to carbapenems made it lost the chance of spreading. However, for single isolates of ST2397, ST2399 and ST2402, as singletons they appeared in 2017 and did not have links with local isolates. They were sporadic nation-cross spreading isolates because the result of evolutionary history by UPGMA method (Fig. 3) also showed they have close relationship with STs of other countries. The sensitivity to carbapenem also made them lost continuous dissemination. So, the reason for the small number of sensitive STs was gradually eliminated by carbapenems, while the reason for newly discovered STs was that new variant or new immigrant have not yet had time to reproduce.

Beside Jilin province, the patients also came from other domestic regions and neighboring countries. All strains were identified by Matrix Assisted Laser Desorption Ionization (MALDI)-Time of Light (TOF)-Mass Spectrometer (MS) and 16SrRNA encoding sequence analysis. However, there are still some strains that cannot be identified as A. baumannii or A. colcaoaceticus, which makes it impossible to include such strains in our study. Although the results of this study showed the unique molecular epidemiological characteristics of A. baumannii in Jilin Province, a single origin of isolates and a low number of isolates are also the shortcomings of this study. It will be more meaningful to obtain more isolates from more hospitals for similar study in the future.

Conclusions

Overall, the antibiotics resistance of A. baumannii is very serious in Jilin Province, the proportion of bacteria resistant to at least one carbapenems antibiotic has exceeded 94% (84/89). Antibiotic resistance is a helpful factor for predominant STs spreading. The proportion of predominant STs in Jilin are different from some domestic regions, such as Guizhou, Beijing and Hunan, and suspicious nation cross new STs occupied high proportion in Jilin. Epidemiological research by MLST in single hospital is helpful to monitor and control nosocaomial infection of A. baumannii because newly discovered STs, genetic relatedness and geographical distribution reflected sufficient spreading clues of A. baumannii.

Materials and methods

Ethics statement

All bacteria are routinely collected for diagnosis in the Affiliated Hospital of Changchun University of Chinese Medicine. No extra samples and personal information about patients were used in the study. Therefore, a written personal informed consent and ethics committee approval were not required, and the study was in line with Chinese laws.

Bacterial strains and growth conditions

Eighty-nine (n = 89) clinical isolates of A. baumannii were collected from the Affiliated Hospital of Changchun University of Chinese Medicine during 2013–2017. All the isolates were identified by automated VITEK2 and confirmed by 16SrRNA sequencing. For the preparation of DNA, bacteria were cultured overnight in Luria–Bertani (LB) broth at 37℃ in high containment facility, a biosafety level 2 facility at College of Basic Medical Science of Jilin University. Total DNA was extracted by EasyPure® Bacteria Genomic DNA Kit (TransGen Biotech) under the protocol and stored at -20℃ for further use.

Antimicrobial susceptibility tests

All collected A. baumannii isolates were subjected to antimicrobial susceptibility test against ertapenem, imipenem, meropenem, tigecycline, and colistin B according broth dilution method following M100 Performance standards for antimicrobial susceptibility testing thirtieth edition of the Clinical and Laboratory Standards Institute (CLSI) [22]. Escherichia coli ATCC® 25,922 and Pseudomonas aeruginosa ATCC® 2785 were included as controls. Breakpoints of ertapenem (susceptible, ≤ 2 ug/L; intermediate, 4 ug/L; and resistant, ≥ 8 ug/L), imipenem (susceptible, ≤ 2 ug/L; intermediate, 4 ug/L; and resistant, ≥ 8 ug/L), meropenem (susceptible, ≤ 2 ug/L; intermediate, 4 ug/L; and resistant, ≥ 8 ug/L), tigecycline (susceptible, ≤ 4 ug/L; intermediate, 8 ug/L; and resistant, ≥ 16 ug/L), and colistin B (susceptible, ≤ 2 ug/L; and resistant, ≥ 4 ug/L) were the CLSI guidelines clinical breakpoints for Acinetobacter spp. The association between STs and the antimicrobial susceptibility among the study population was carried out using Fisher’s precision probability test. And all antibiotics were the products of Sigma.

Multi locus sequence typing (MLST)

MLST was carried out according to the ‘Oxford’ scheme [23]. Primers in MLST site (https://pubmlst.org/primers-used-mlst-acinetobacter-baumannii-complex-oxford-scheme) were used to amplify gltA, gyrB, gdhB, recA, cpn60, gpi, and rpoD, which are conserved housekeeping genes in MLST analysis (Table 4). (https://pubmlst.org/primers-used-mlst-acinetobacter-baumannii-complex-oxford-scheme). PCR amplification, sequence analysis and determination of ST for each isolate were carried out according to online A. baumannii typing protocols (https://pubmlst.org/bigsdb?db=pubmlst_abaumannii_seqdef). The PCR amplicons were double pass sequenced using commercial SANGER sequencing services (Comate Bioscience Co., Ltd.). Novel sequence types (STs) were submitted to the A. baumannii MLST Database.

Table 4 Primers used for MLST of A. baumannii complex (Oxford scheme)
Full size table

Phylogenetic analysis

The relatedness analysis was performed by online goeBURST and eBURST under the criteria of single locus variant (SLV) as both goeBURST and eBURST allow unrooted tree-based relationship representation of the analyzed isolates ( http://eburst.mlst.net/) [24, 25]. The criteria ensures that even single locus variation of housekeeping genes will be displayed in unrooted tree. Factors such as the number of alleles, variable sites in each allele, frequency of single nucleotide polymorphism (SNPs) were also considered in the algorithm of two online methods. As the distance between original genotype and variant usually suggests the degree of variation, the distance from triple locus variants (TLVs) to original genotype is longer than that from SLVs and double locus variants (DLVs) to original genotype.

Nucleotide sequence diversity (Ï€) was calculated using DNAsp V5.1 software [26]. All Chinese STs in including Jilin isolates were compared to isolates from other countries by PHYLOViZ Online of MLST site (http://pubmlst.org/bpseudomallei), which is a flexible tool for relationship and regional characteristic analysis [27].

To further determine the molecular evolutionary relationship between Chinese STs and prevalent STs in other countries, 22 Jilin STs, another 10 Chinese epidemic STs (isolates ≥ 8), and 120 epidemic STs (isolates ≥ 2) from other countries were selected and analyzed by Unweighted Pair Group Method (UPGM) of PHYLOViZ program [28, 29]. In other article, this analysis also was performed by Arithmetic average method in molecular evolutionary genetic analysis (MEGA) software [30, 31]. The topology and grouping of all STs were displayed on constructed boot-strapped phylogenetic tree.

Availability of data and materials

All data generated or analyzed during this study are included in this published article and all isolates ID are listed in Table 2. And the datasets generated during and/or analyses during the current study are available in the PubMLST (Acinetobacter baumannii database: https://pubmlst.org/bigsdb?db=pubmlst_abaumannii_isolates).

References

  1. Antunes LC, Visca P, Towner KJ. Acinetobacter baumannii: evolution of a global pathogen. Pathog Dis. 2014;71(3):292–301. https://doi.org/10.1111/2049-632X.12125.

    Article  CAS  Google Scholar 

  2. Kempf M, Rolain JM. Emergence of resistance to carbapenems in Acinetobacter baumannii in Europe: clinical impact and therapeutic options. Int J Antimicrob Agents. 2012;39(2):105–14. https://doi.org/10.1016/j.ijantimicag.2011.10.004.

    Article  CAS  Google Scholar 

  3. World Health Organization (WHO) Global Priority List of Antibiotic-Resistant Bacteria to Guide Research, Discovery, and Development of New Antibiotics. http://www.who.int/medicines/publications/WHO-PPL-Short_Summary_25Feb-ET_NM_WHO.pdf. [Accessed on 15 May 2018].

  4. Genovese C, La Fauci V, D’Amato S, Squeri A, Anzalone C, Costa GB, Fedele F, Squeri R. Molecular epidemiology of antimicrobial resistant microorganisms in the 21th century: a review of the literature. Acta Biomed. 2020;91(2):256–73. https://doi.org/10.23750/abm.v91i2.9176.PMID:32420962;PMCID:PMC7569612.

    Article  CAS  Google Scholar 

  5. Hammerum AM, Hansen F, Skov MN, Stegger M, Andersen PS, Holm A, Jakobsen L, Justesen US. Investigation of a possible outbreak of carbapenems-resistant Acinetobacter baumannii in Odense, Denmark using PFGE, MLST and whole-genome-based SNPs. J Antimicrob Chemother. 2015;70(7):1965–8. https://doi.org/10.1093/jac/dkv072.

    Article  CAS  Google Scholar 

  6. Maiden MC. Multilocus sequence typing of bacteria. Annu Rev Microbiol. 2006;60:561–88. https://doi.org/10.1146/annurev.micro.59.030804.121325.

    Article  CAS  Google Scholar 

  7. Hu F, Guo Y, Yang Y, Zheng Y, Wu S, Jiang X, Zhu D, Wang F. Resistance reported from China antimicrobial surveillance network (CHINET) in 2018. Eur J Clin Microbiol Infect Dis. 2019;38(12):2275–81. https://doi.org/10.1007/s10096-019-03673-1.

    Article  CAS  Google Scholar 

  8. Ruan Z, Chen Y, Jiang Y, Zhou H, Zhou Z, Fu Y, Wang H, Wang Y, Yu Y. Wide distribution of CC92 carbapenems-resistant and OXA-23-producing Acinetobacter baumannii in multiple provinces of China. Int J Antimicrobe Agents. 2013;42(4):322–8. https://doi.org/10.1016/j.ijantimicag.2013.06.019.

    Article  CAS  Google Scholar 

  9. Wang X, Qiao F, Yu R, Gao Y, Zong Z. Clonal diversity of Acinetobacter baumannii clinical isolates revealed by a snapshot study. BMC Microbiol. 2013;13:234. https://doi.org/10.1186/1471-2180-13-234.

    Article  CAS  Google Scholar 

  10. Jolley KA, Bray JE, Maiden MCJ. Open-access bacterial population genomics: BIGSdb software, the PubMLSTorg website and their applications. Wellcome Open Res. 2018;3:124. https://doi.org/10.12688/wellcomeopenres.14826.1.

    Article  CAS  Google Scholar 

  11. Yu K, Zhang Y, Xu W, Zhang X, Xu Y, Sun Y, Zhou T, Cao J. Hyper-expression of the efflux pump gene adeB was found in Acinetobacter baumannii with decreased triclosan susceptibility. J Glob Antimicrob Resist. 2020;22:367–73. https://doi.org/10.1016/j.jgar.2020.02.027.

    Article  Google Scholar 

  12. Li YJ, Pan CZ, Fang CQ, Zhao ZX, Chen HL, Guo PH, Zhao ZW. Pneumonia caused by extensive drug-resistant Acinetobacter baumannii among hospitalized patients: genetic relationships, risk factors and mortality. BMC Infect Dis. 2017;17(1):371. https://doi.org/10.1186/s12879-017-2471-0.

    Article  CAS  Google Scholar 

  13. Qu J, Du Y, Yu R, Lü X. The first outbreak caused by Acinetobacter baumannii ST208 and ST195 in China. Biomed Res Int. 2016;2016:9254907. https://doi.org/10.1155/2016/9254907.

    Article  CAS  Google Scholar 

  14. Ying J, Lu J, Zong L, Li A, Pan R, Cheng C, Li K, Chen L, Ying J, Tou H, Zhu C, Xu T, Yi H, Li J, Ni L, Xu Z, Bao Q, Li P. Molecular epidemiology and characterization of genotypes of Acinetobacter baumannii isolates from regions of South China. Jpn J Infect Dis. 2016;69(3):180–5. https://doi.org/10.7883/yoken.JJID.2014.544.

    Article  CAS  Google Scholar 

  15. Wang X, Qiao F, Yu R, Gao Y, Zong Z. Clonal diversity of Acinetobacter baumannii clinical isolates revealed by a snapshot study. BMC Microbiol. 2013;13:234. https://doi.org/10.1186/1471-2180-13-234.

    Article  CAS  Google Scholar 

  16. Jiang M, Chen X, Liu S, Zhang Z, Li N, Dong C, Zhang L, Wu H, Zhao S. Epidemiological Analysis of Multidrug-Resistant Acinetobacter baumannii Isolates in a Tertiary Hospital Over a 12-Year Period in China. Front Public Health. 2021;9:707435. https://doi.org/10.3389/fpubh.2021.707435.

    Article  Google Scholar 

  17. Zhao Y, Hu K, Zhang J, Guo Y, Fan X, Wang Y, Mensah SD, Zhang X. Outbreak of carbapenem-resistant Acinetobacter baumannii carrying the carbapenemase OXA-23 in ICU of the eastern Heilongjiang Province, China. BMC Infect Dis. 2019;19(1):452. https://doi.org/10.1186/s12879-019-4073-5.

    Article  CAS  Google Scholar 

  18. Ning NZ, Liu X, Bao CM, et al. Molecular epidemiology of bla OXA-23 -producing carbapenems-resistant Acinetobacter baumannii in a single institution over a 65-month period in north China. BMC Infect Dis. 2017;17(1):14. https://doi.org/10.1186/s12879-016-2110-1.

    Article  CAS  Google Scholar 

  19. Guo J, Li C. Molecular epidemiology and decreased susceptibility to disinfectants in carbapenems-resistant Acinetobacter baumannii isolated from intensive care unit patients in central China. J Infect Public Health. 2019;12(6):890–6. https://doi.org/10.1016/j.jiph.2019.06.007.

    Article  Google Scholar 

  20. Xu L, Deng S, Wen W, et al. Molecular typing, and integron and associated gene cassette analyses in Acinetobacter baumannii strains isolated from clinical samples. Exp Ther Med. 2020;20(3):1943–52. https://doi.org/10.3892/etm.2020.8911.

    Article  CAS  Google Scholar 

  21. Ibrahim S, Al-Saryi N, Al-Kadmy IMS, et al. Multidrug-resistant Acinetobacter baumannii as an emerging concern in hospitals. Mol Biol Rep. 2021;48(10):6987–98. https://doi.org/10.1007/s11033-021-06690-6.

    Article  CAS  Google Scholar 

  22. CLSI. Performance standards for antimicrobial susceptibility testing. 30th ed. CLSI supplement M100. Wayne, PA: Clinical and Laboratory Standards Institute; 2020.

  23. Bartual SG, Seifert H, Hippler C, Luzon MA, Wisplinghoff H, Rodríguez-Valera F. Development of a multilocus sequence typing scheme for characterization of clinical isolates of Acinetobacter baumannii. J Clin Microbiol. 2005;43(9):4382–90. https://doi.org/10.1128/JCM.43.9.4382-4390.2005. Erratum. In: J Clin Microbiol. 2007;45(6):2101.

    Article  CAS  Google Scholar 

  24. Feil EJ, Li BC, Aanensen DM, Hanage WP, Spratt BG. eBURST: inferring patterns of evolutionary descent among clusters of related bacterial genotypes from multilocus sequence typing data. J Bacteriol. 2004;186(5):1518–30. https://doi.org/10.1128/JB.186.5.1518-1530.2004.

    Article  CAS  Google Scholar 

  25. Francisco AP, Bugalho M, Ramirez M, Carriço JA. Global optimal eBURST analysis of multilocus typing data using a graphic matroid approach. BMC Bioinformatics. 2009;10:152. https://doi.org/10.1186/1471-2105-10-152.

    Article  CAS  Google Scholar 

  26. Librado P, Rozas J. DnaSP v5: a software for comprehensive analysis of DNA polymorphism data. Bioinformatics. 2009;25(11):1451–2. https://doi.org/10.1093/bioinformatics/btp187.

    Article  CAS  Google Scholar 

  27. Ribeiro-Gonçalves B, Francisco AP, Vaz C, Ramirez M, Carriço JA. PHYLOViZ Online: web-based tool for visualization, phylogenetic inference, analysis and sharing of minimum spanning trees. Nucleic Acids Res. 2016;44(W1):W246–51. https://doi.org/10.1093/nar/gkw359.

    Article  CAS  Google Scholar 

  28. Francisco AP, Vaz C, Monteiro PT, Melo-Cristino J, Ramirez M, Carriço JA. PHYLOViZ: phylogenetic inference and data visualization for sequence based typing methods. BMC Bioinformatics. 2012;13:87. https://doi.org/10.1186/1471-2105-13-87.

    Article  Google Scholar 

  29. Nascimento M, Sousa A, Ramirez M, Francisco AP, Carriço JA, Vaz C. PHYLOViZ 2.0: providing scalable data integration and visualization for multiple phylogenetic inference methods. Bioinformatics. 2017;33(1):128–9. https://doi.org/10.1093/bioinformatics/btw582.

    Article  CAS  Google Scholar 

  30. Kamthan A A, Shaw T T, Mukhopadhyay C C, Kumar S S. Molecular analysis of clinical Burkholderia pseudomallei isolates from southwestern coastal region of India, using multi-locus sequence typing. PLoS Negl Trop Dis. 2018;12(11):e0006915. https://doi.org/10.1371/journal.pntd.0006915.

    Article  CAS  Google Scholar 

  31. Tamura K, Stecher G, Peterson D, Filipski A, Kumar S. MEGA6: molecular evolutionary genetics analysis version 60. Mol Biol Evol. 2013;30(12):2725–9. https://doi.org/10.1093/molbev/mst197.

    Article  CAS  Google Scholar 

Download references

Acknowledgements

This publication made use of the Acinetobacter baumannii MLST website (http://pubmlst.org/abaumannii/) sited at the University of Oxford (Jolley & Maiden 2010, BMC Bioinformatics, 11:595). The development of this site has been funded by the Wellcome Trust.

Funding

This work was supported by foundation of Education Department of Jilin Province (JJKH20201042KJ).

Author information

Authors and Affiliations

  1. Department of Pathogenobiology, CollegeofBasicMedicalScience, Jilin University, 126, Xinmin Street, Changchun, 130021, Jilin, China

    Qingsong You, Nannan Hu, Yusi Zhang, Na Zhang, Fusheng Wang, Jinghua Li, Yanbo sun, Fang Wang & Hongyan Shi

  2. First Hospital of Jilin University, 1, Xinmin Street, Changchun, China

    Qingsong You

  3. Affiliated Hospital of Changchun University of Chinese Medicine, 1478, Gongnong Avenues, Changchun, China

    Xue Du

Authors
  1. Qingsong You
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Xue Du
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Nannan Hu
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Yusi Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Na Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Fusheng Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Jinghua Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. Yanbo sun
    View author publications

    You can also search for this author in PubMed Google Scholar

  9. Fang Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  10. Hongyan Shi
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

Conceptualization: Hongyan Shi, Qingsong You, Fang Wang. Data curation: Qingsong You. Formal analysis: Qingsong You, Hongyan Shi. Funding acquisition: Hongyan Shi, Fang Wang. Investigation: Qingsong You, Nannan Hu, Yusi Zhang, Fusheng Wang. Methodology: Qingsong You, Nannan Hu. Project administration: Fang Wang. Resources: Xue Du, Jinghua Li. Software: Qingsong You, Yusi Zhang. Supervision: Hongyan Shi, Fang Wang. Validation: Qingsong You, Nannan Hu, Yusi Zhang. Visualization: Qingsong You, Nannan Hu, Na Zhang, Fusheng Wang. Writing – original draft: Qingsong You. Writing – review & editing: Hongyan Shi, Fang Wang, Yanbo Sun. The author(s) read and approved the final manuscript.

Authors’ information

Not applicable.

Corresponding author

Correspondence to Hongyan Shi.

Ethics declarations

Ethics approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

You, Q., Du, X., Hu, N. et al. Local characteristics of molecular epidemiolgy of Acinetobacter baumannii in Jilin province (northeast China). BMC Microbiol 23, 19 (2023). https://doi.org/10.1186/s12866-023-02761-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12866-023-02761-9

Keywords

BMC Microbiology

ISSN: 1471-2180

Contact us