Literature DB >> 31902837

Identification and pathogenicity analysis of Streptococcus equinus FMD1, a beta-hemolytic strain isolated from forest musk deer lung.

Wei Zhao1, Dong Yu1, JianGuo Cheng2, Yin Wang1, ZeXiao Yang1, XuePing Yao1, Yan Luo1.   

Abstract

Streptococcus spp. cause a wide range of diseases in animals and humans. A Streptococcus strain (FMD1) was isolated from forest musk deer lung. To identify the bacterium at the species level and investigate its pathogenicity, whole genome sequencing and experimental infections of mice were performed. The genome had 97.63% average nucleotide identity with the S. equinus strain. Through virulence gene analysis, a beta-hemolysin/cytolysin genome island was found in the FMD1 genome, which contained 12 beta-hemolysin/cytolysin-related genes. Hemolytic reaction and histopathological analysis established the strain's pathogenicity in mice. This is the first report of a beta-hemolytic S. equinus strain in forest musk deer identified based on phenotypic and genotypic analyzes; this strategy could be useful for analyzing pathogens affecting rare animals.

Entities:  

Keywords:  Streptococcus equinus; beta-hemolytic; forest musk deer; whole genome analysis

Mesh:

Substances:

Year:  2019        PMID: 31902837      PMCID: PMC7041976          DOI: 10.1292/jvms.19-0566

Source DB:  PubMed          Journal:  J Vet Med Sci        ISSN: 0916-7250            Impact factor:   1.267


Forest musk deer (Moschus berezovskii) is a medium-sized mammal that inhabits alpine forests. This animal has a high economic value because of the musk secreted by adult males, which plays an important role in traditional Asian medicine and the international perfume industry [23]. Because of the wild origin of the forest musk deer, it is difficult for people (including breeders) to approach the animal, thus, noticing the onset of diseases is also difficult. In December 2018, a 10-year-old forest musk deer at the Sichuan Institute of Musk Deer Breeding (Chengdu, China) suddenly fell down, showed anorexia and purulent nasal secretion, and died before the veterinarian’s arrival. At autopsy, it was observed that the lungs were severely swollen, covered with petechial hemorrhages, and surrounded by a yellow peptone-like exudate (Supplementary Fig. 1). The lung tissue was collected and transported on ice to the laboratory for bacterial examinations. First, the lung was streak-inoculated onto 5% sheep blood agar plates under aerobic and anaerobic conditions and incubated for 20 hr at 37°C. The single colony was selected and placed on 5% sheep blood agar plates based on the morphological characteristics. Then, the pure culture was subjected to Gram staining and biochemical identification. After this, the total DNA of the isolate was used as a template for a polymerase chain reaction (PCR) to amplify the 16S rRNA region with universal primers 27F and 1492R. The PCR procedure was the same as that described in a previous report [24]. The sequencing results were compared with the reference sequences from the NCBI database via BLAST. For the phylogenetic analysis, a dataset of 16S rRNA gene sequences was built, and all reference sequences were extracted from GenBank with high similarity based on the results of NCBI BLAST. The program used for the phylogenetic analysis was the same as that used in a previous article description [24]. In addition, the genome sequence of the isolate was sequenced at Novogene Bioinformatics Technology Co., Ltd., Beijing, 100000, China. The average nucleotide identity (ANI) and virulence genes of the isolate were identified using an ANI calculator (http://enve-omics.ce.gatech.edu/ani/index) [8] and virulence factor database (VFDB) (http://www.mgc.ac.cn/VFs/main.htm) [12], respectively. The names of the virulence genes were determined using NCBI BLASTn (e-value <1e-10, identity >80%, and coverage >90%) [21]. The complete genomes of S. equinus, S. lutetiensis, and S. infantarius were used as reference genomes for the ANI analysis. Twelve BALB/c mice were divided into two groups: test and control. All experiments using mice were approved by the committee for the animal experimentation of the Sichuan Agricultural University. The bacterial suspension was diluted to 4.3 × 108 CFU/ml, and six mice were intraperitoneally injected with 0.2 ml of the bacterial suspension. At the same time, the control group was injected with physiological saline. The infected and healthy mice groups were sacrificed after seven days, and then the lungs were immersed in 4% neutral buffered formalin and stained with hematoxylin and eosin for pathological observation. Meanwhile, the lung tissue of dead forest musk deer was processed as outlined above. After 20 hr of incubation, smooth, grayish, and neat-edged colonies were found with a small zone of clear beta-hemolysis on the 5% sheep blood agar plates under both aerobic and anaerobic conditions (Fig. 1). Gram staining results showed that the isolate was a Gram-positive, round-shaped bacterium. Moreover, the isolate was negative in mannite, sorbitol, aesculin, inulin, catalase, and trehalose, positive in glucose, lactose, raffinose, and salicylic acid, and could not grow in Trypticase Soy Broth supplemented with 6.5% (w/v) NaCl. Electrophoresis indicated that the size of the PCR product of the 16S rRNA gene was 1,452 bp (Accession No. MK652875), which was highly similar (Ident >99.45%, Query cover=99%) to the 16S rRNA sequences of S. equinus, S. lutetiensis, and S. infantarius. In addition, the FMD1 strain was alone in a clade in the phylogenetic tree based on the 16S rRNA sequences of 60 Streptococci species (Fig. 2). Based on the above-mentioned characteristics, the FMD1 strain was difficult to identify at the species level based on conventional methods and 16S rRNA sequence analysis.
Fig. 1.

Hemolytic phenotype analyses of the Streptococcus equinus FMD1 strain on 5% sheep blood agar plates.

Fig. 2.

Phylogenetic comparisons of 60 Streptococci strains using 16S rRNA gene sequencing. This phylogenetic tree includes 7 Streptococcus bovis 16S rRNA gene sequences, 23 Streptococcus equinus 16S rRNA gene sequences, 3 Streptococcus infantarius 16S rRNA gene sequences, and 26 Streptococcus lutetiensis 16S rRNA gene sequences, along with the FMD1 16S rRNA gene sequence. Multiple sequence alignments were performed using Clustal X 2.1. The phylogenetic tree was constructed using the neighbor-joining method with the MEGA 6.0 program. Genetic distances were determined using Kimura’s 2-parameter model. The robustness of individual branches was estimated using bootstrapping with 1,000 replications. The scale bar corresponds to 0.001 estimated nucleotide substitutions per site.

Hemolytic phenotype analyses of the Streptococcus equinus FMD1 strain on 5% sheep blood agar plates. Phylogenetic comparisons of 60 Streptococci strains using 16S rRNA gene sequencing. This phylogenetic tree includes 7 Streptococcus bovis 16S rRNA gene sequences, 23 Streptococcus equinus 16S rRNA gene sequences, 3 Streptococcus infantarius 16S rRNA gene sequences, and 26 Streptococcus lutetiensis 16S rRNA gene sequences, along with the FMD1 16S rRNA gene sequence. Multiple sequence alignments were performed using Clustal X 2.1. The phylogenetic tree was constructed using the neighbor-joining method with the MEGA 6.0 program. Genetic distances were determined using Kimura’s 2-parameter model. The robustness of individual branches was estimated using bootstrapping with 1,000 replications. The scale bar corresponds to 0.001 estimated nucleotide substitutions per site. Streptococcus is a diverse genus, encompassing approximately 77 species of bacteria, which infect a host of different animals [9]. Many Streptococci species are well-known pathogens in humans and animals, including S. pneumoniae, S. suis, and S. equinus [9, 11], and cause a broad range of diseases [5]. In contrast, S. gallolyticus and S. infantarius play important roles in traditional fermented food products across the world [18]. Hence, there is a potential public health risk if Streptococci species are not accurately identified. To better understand the species level and pathogenicity of the isolated Streptococcus strain, the genome sequence was used for ANI and virulence gene analysis. The whole genome sequence of FMD1 was submitted to GenBank under the accession number SPDR00000000. The FMD1 genome was aligned with the S. equinus NCTC8140 strain assemblies at 97.63% ANI, while the highest ANI with S. lutetiensis and S. infantarius was 87.15% and 86.95%, respectively. The ANI analysis results identified the FMD1 strain as S. equinus. Conventional methods and PCR analyzes have been developed to improve the species identification of bacteria [2]. However, some studies have encountered challenges in identifying the bacterial species isolated from patients, such as Clostridium, Yersinia, Klebsiella and Streptococcus [10, 13, 15, 16]. The accurate identification of bacteria at the species level has become increasingly more important [6]. Thus, many reviews highly recommended whole genome sequencing and analysis to increase the confidence in the species identification accuracy [4]. ANI is a useful tool, used to improve the accuracy of bacterial identification, and has been proposed as the best option for determining species [4, 22]. Notably, in the FMD1 genome Scaffold 2, a beta-hemolysin/cytolysin genome island (SPDR01000002: 58,344–69,620) was found, which contains 12 beta-hemolysin/cytolysin related genes (Table 1), including cylX, cylD, cylG, acpC, cylZ, cylA, cylB, cylE, cylF, cylI, cylJ, and cylK. The gene structure agreed with the beta-hemolytic genome island, which was found in group B Streptococci and contributed to disease pathogenesis [3]. To the best of our knowledge, a beta-hemolysin S. equinus strain has been isolated from bovine milk by Babu [1]. Previous studies [14, 17] have reported that hemolytic reaction is a strong evidence of the pathogenic potential of microorganisms, and beta-hemolysin may direct tissue injury or the activation of the host inflammatory response. As an important intestinal bacterium, S. equinus was first isolated in 1906, was frequently detected in feces, and thought to be a nonpathogenic bacterium for a long time [19]. In recent years, some diseases caused by S. equinus have been reported [7]. This study is the first report of a beta-hemolytic S. equinus strain in the forest musk deer.
Table 1.

Genetic constitution of the beta-hemolysin/cytolysin genome island in the Streptococcus. equinus FMD1 strain

Orf IDNameIdentity (%)CDS region in nucleotideVFDB_IDProduct
Orf01544cylX96.44SPDR01000002:58344–58652VFG005761Acetyl coenzyme A CoA carboxylase CylX
Orf01545cylD98.22SPDR01000002:58649–59494VFG005764Malonyl-CoA-ACP transacylase CylD
Orf01546cylG97.65SPDR01000002:59491–60213VFG005766CylG protein
Orf01547acpC99.34SPDR01000002:60206–60508VFG005770AcpC acyl carrier protein AcpC
Orf01548cylZ97.69SPDR01000002:60495–60971VFG0057733R-hydroxymyristoyl ACP dehydratase CylZ
Orf01549cylA98.28SPDR01000002:60961–61890VFG005776ABC ATP-binding cassette transporter CylA
Orf01550cylB98.63SPDR01000002:61883–62761VFG005779ABC ATP-binding cassette transporter CylB
Orf01551cylE97.96SPDR01000002:62758–64725VFG005780CylE protein
Orf01552cylF98.32SPDR01000002:64728–65678VFG005785Aminomethyltransferase CylF
Orf01553cylI97.67SPDR01000002:65678–67870VFG005788Putative 3-ketoacyl-ACP synthase CylI
Orf01554cylJ97.08SPDR01000002:67880–69106VFG005790CylJ protein
Orf01555cylK97.44SPDR01000002: 69114–69620VFG005793CylK protein

Orf, open reading frame; CDS: coding sequence; VFDB: virulence factors database.

Orf, open reading frame; CDS: coding sequence; VFDB: virulence factors database. Forest musk deer is a first-class protected animal in China, and therefore animal experimentation using this species is forbidden. We have successfully established a mouse challenge model of the Escherichia coli O78 strain and established a foundation for future research on the pathogenesis of pathogens isolated from forest musk deer [20]. To better understand the pathogenesis of S. equinus FMD1, mice are an excellent experimental animal for replacing forest musk deer. The pathological features of the lungs of mice and forest musk deer showed different degrees of histopathological changes (Fig. 3). The histological lesions in the lung tissues of mice and forest musk deer showed infiltration of numerous erythrocytes and inflammatory cells in the alveolar lumen. The alveolar epithelial cells of mice proliferated, but there was no standard for the alveolar walls of healthy forest musk deer. Lung histological lesions and hemolytic reactions confirmed that the S. equinus FMD1 strain is a pathogenic bacterium affecting mice and forest musk deer.
Fig. 3.

Photomicrographs of lung tissues from mice and forest musk deer. (a) The histological structure of the lung of forest musk deer (H&E. 400×, Bar=50 μm). (b) The histological structure of the lung in the control group mice (H&E. 400×, Bar=50 μm). (c) The histological structure of the lung in the test group mice (H&E. 200×, Bar=200 μm). (d) The histological structure of the lung in the test group mice with high-expansion (H&E. 400×, Bar=50 μm). Histopathological observations showed infiltration of numerous erythrocytes, neutrophils, and monocyte in the alveolar lumen of forest musk deer and test group mice. In addition, an area of thickened alveolar wall was observed in the test group mice. There were no histopathological changes in the control group.

Photomicrographs of lung tissues from mice and forest musk deer. (a) The histological structure of the lung of forest musk deer (H&E. 400×, Bar=50 μm). (b) The histological structure of the lung in the control group mice (H&E. 400×, Bar=50 μm). (c) The histological structure of the lung in the test group mice (H&E. 200×, Bar=200 μm). (d) The histological structure of the lung in the test group mice with high-expansion (H&E. 400×, Bar=50 μm). Histopathological observations showed infiltration of numerous erythrocytes, neutrophils, and monocyte in the alveolar lumen of forest musk deer and test group mice. In addition, an area of thickened alveolar wall was observed in the test group mice. There were no histopathological changes in the control group. Our results indicate that whole genome analysis is a useful strategy for improving the accuracy of bacterial identification and mining genetic information. To the best of our knowledge, this report is the first to describe the beta-hemolytic S. equinus strain in forest musk deer. However, additional laboratory research investigating the beta-hemolytic genome island of the FMD1 strain is warranted.
  21 in total

Review 1.  An Update on the Streptococcus bovis Group: Classification, Identification, and Disease Associations.

Authors:  John P Dekker; Anna F Lau
Journal:  J Clin Microbiol       Date:  2016-02-24       Impact factor: 5.948

2.  Phylogenetic diversity of intra-amoebal legionellae as revealed by 16S rRNA gene sequence comparison.

Authors:  R J Birtles; T J Rowbotham; D Raoult; T G Harrison
Journal:  Microbiology       Date:  1996-12       Impact factor: 2.777

3.  Inhibition of suilysin activity and inflammation by myricetin attenuates Streptococcus suis virulence.

Authors:  Gen Li; Guizhen Wang; Xiaosa Si; Xueke Zhang; Wentao Liu; Li Li; Jianfeng Wang
Journal:  Life Sci       Date:  2019-03-11       Impact factor: 5.037

4.  Streptococcus bovis/S. equinus complex septicemia in a group of calves following intramuscular vaccination.

Authors:  Lorelei L Clarke; Robert L Fathke; Susan Sanchez; James B Stanton
Journal:  J Vet Diagn Invest       Date:  2016-05-22       Impact factor: 1.279

5.  Reappraisal of the taxonomy of the Streptococcus bovis/Streptococcus equinus complex and related species: description of Streptococcus gallolyticus subsp. gallolyticus subsp. nov., S. gallolyticus subsp. macedonicus subsp. nov. and S. gallolyticus subsp. pasteurianus subsp. nov.

Authors:  Laurent Schlegel; Francine Grimont; Elisabeth Ageron; Patrick A D Grimont; Anne Bouvet
Journal:  Int J Syst Evol Microbiol       Date:  2003-05       Impact factor: 2.747

Review 6.  The Adhesion and Invasion Mechanisms of Streptococci.

Authors:  Qingsong Jiang; Xuedong Zhou; Lei Cheng; Mingyun Li
Journal:  Curr Issues Mol Biol       Date:  2019-06-05       Impact factor: 2.081

7.  Genome sequencing and comparative genomics provides insights on the evolutionary dynamics and pathogenic potential of different H-serotypes of Shiga toxin-producing Escherichia coli O104.

Authors:  Xianghe Yan; Pina M Fratamico; James L Bono; Gian Marco Baranzoni; Chin-Yi Chen
Journal:  BMC Microbiol       Date:  2015-04-03       Impact factor: 3.605

Review 8.  An Overview on Streptococcus bovis/Streptococcus equinus Complex Isolates: Identification to the Species/Subspecies Level and Antibiotic Resistance.

Authors:  Arianna Pompilio; Giovanni Di Bonaventura; Giovanni Gherardi
Journal:  Int J Mol Sci       Date:  2019-01-23       Impact factor: 5.923

9.  Using average nucleotide identity to improve taxonomic assignments in prokaryotic genomes at the NCBI.

Authors:  Stacy Ciufo; Sivakumar Kannan; Shobha Sharma; Azat Badretdin; Karen Clark; Seán Turner; Slava Brover; Conrad L Schoch; Avi Kimchi; Michael DiCuccio
Journal:  Int J Syst Evol Microbiol       Date:  2018-05-24       Impact factor: 2.747

10.  Microbial community structure of three traditional zambian fermented products: mabisi, chibwantu and munkoyo.

Authors:  Sijmen E Schoustra; Chitundu Kasase; Cristian Toarta; Rees Kassen; Alexandre J Poulain
Journal:  PLoS One       Date:  2013-05-14       Impact factor: 3.240

View more
  2 in total

1.  Metagenomics analysis of the gut microbiome in healthy and bacterial pneumonia forest musk deer.

Authors:  Wei Zhao; Ziwei Ren; Yan Luo; Jianguo Cheng; Jie Wang; Yin Wang; Zexiao Yang; Xueping Yao; Zhijun Zhong; Wei Yang; Xi Wu
Journal:  Genes Genomics       Date:  2021-01-11       Impact factor: 1.839

2.  MicroRNA let-7f-5p regulates PI3K/AKT/COX2 signaling pathway in bacteria-induced pulmonary fibrosis via targeting of PIK3CA in forest musk deer.

Authors:  Wei Zhao; Jianguo Cheng; Yan Luo; Wenlong Fu; Lei Zhou; Xiang Wang; Yin Wang; Zexiao Yang; Xueping Yao; Meishen Ren; Zhijun Zhong; Xi Wu; Ziwei Ren; Yimeng Li
Journal:  PeerJ       Date:  2022-10-05       Impact factor: 3.061

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.