Submit or Track your Manuscript LOG-IN

Advances in Animal and Veterinary Sciences

AAVS_8_11_1194-1202

 

 

Review Article

 

Comparative Genomic Diversity of Clostridium difficile During Recurrences of Infections

 

Ihsanullah Shirani1, 2, 3*, Marawan A. Marawan1,2,4, Najibullah Rahimi3, Ali Dawood1,2,5

1The State Key Laboratory of Agricultural Microbiology; Huazhong Agricultural University, Wuhan, China; 2College of Veterinary Medicine, Preventive Veterinary Medicine, Huazhong Agricultural University, Wuhan, China; 3Para clinic Department, Faculty of Veterinary Medicine, Nangarhar University, Nangarhar, Afghanistan; 4Infectious diseases, Animal Medicine Department, Faculty of Veterinary Medicine, Benha University, Qualyobia, Egypt; 5Infectious diseases, Medicine Department, Faculty of Veterinary Medicine, University of Sadat City, Egypt.

 

Abstract | Clostridium difficile is an important emerging infectious agent and might colonize in digestive tract of humans. C. difficile exhibits a low level of gene conservation. Consequently, antibiotic therapy result has demonstrated in 15-30% cases. In the current review we summarized up to date information about the drug resistance genotypes of C. difficile for the first time. Our study revealed that there was a steady difference among various genotype. Which demonstrated that mutations in the DNA genes was very common in the antibiotic resistance phenotypes. Together our data revealed that antibiotic resistivity poses selective pressure on the genome of C. difficile that could lead to more adoptable drug resistance strains. This study may open a new avenue for the research in understanding the mechanism of C. difficile adaptation to antibiotics and the development of new antibacterial. However, their further research is needed to exploring C. difficile genomic diversity changed from molecular typing assays to total-genome sequence comparisons and comparative genome microarrays.

 

Keywords | Clostridium difficile, Ribotypes, Whole genomic analysis, BLAST, Genome

 

Received | February 11, 2020; Accepted | August 14, 2020; Published | September 01, 2020

*Correspondence | Ihsanullah Shirani, The State Key Laboratory of Agricultural Microbiology; Huazhong Agricultural University, Wuhan, China; Email: [email protected]

Citation | Shirani I, Marawan MA, Rahimi N, Dawood A (2020). Comparative genomic diversity of Clostridium difficile during recurrences of infections. Adv. Anim. Vet. Sci. 8(11): 1194-1202.

DOI | http://dx.doi.org/10.17582/journal.aavs/2020/8.11.1194.1202

ISSN (Online) | 2307-8316; ISSN (Print) | 2309-3331

Copyright © 2020 Shirani et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

 

INTRODUCTION

 

Clostridium difficile (C. difficile) is an anaerobic, Gram-positive and spore-forming bacteria. Which is the causative factor of pseudomembranous colitis. Clinically, it shows different severity from mild diarrhea to severe and hard colitis included with toxic megacolon (Borriello, 1998; Rupnik et al., 2009). Toxin A (TcdA) and toxin B (TcdB) are the essential virulence factors of C. difficile (Kuehne et al., 2010; Voth and Ballard, 2005). Therefore, some strains show a dual toxin (CDT), which is related to enhanced virulence (Inns et al., 2013; McDonald et al., 2005; Schwan et al., 2009). C. difficile infection (CDI) is transmitted by the realization of spore through the fecal-oral route. Continue germination in small intestine, the vegetative cells generate illness, toxins and eventually sporulation in the large intestine before being unleashed into the environment, which may make the disease of new individuals (Koenigsknecht et al., 2015; Paredes-Sabja et al., 2014; Shen, 2015). The master regulator of sporulation is Spo0A (Pereira et al., 2013). Which also might be a regulator of other supposed virulence factors (Mackin et al., 2013).

 

Endospores of C. difficile are favorable resistant to environmental stress, such as oxygen, heat, and sanitizers. Furthermore, they can stay for long period, which predisposes for nosocomial transmission. It was thought that C. difficile agent is trans-locating predominantly. However, the endemic spreading of this agent has barricaded recognition of accurate sources of infection and the evaluation of the efficiency of interventions. Many occurrences of C. difficile infection were believed to have resulted from new possession within a health care setting. Prevention scrambles have therefore concentrated on symptomatic patients, their immediate environment, and the judicious use of antimicrobial medicine (Cohen et al., 2010; Vonberg et al., 2008). Human to human transmission of C. difficile agents and encompassing contamination have been widely documented (Dubberke et al., 2007; McFarland et al., 1989; Samore et al., 1994; Vonberg et al., 2008). Therefore, there are several other potential origins, including sick with asymptomatic colonization (Clabots et al., 1992; Muto, 2007), and broad environment sources, such as farm or pets animals, food and water (Hensgens et al., 2012). The contribution of occurrences that were came from these sources to the overall burden of illness is unknown, especially with enhancing reports of society associated with C. difficile infection.

 

In the previous studies assembling data from hospital registration and genotyping have been showing that transmission through the hospital and clinic-based collision with C. difficile patient’s number was less than 25% of recent cases (Norén et al., 2004; Walk et al., 2012). Although such studies have not conclusively explained the role of symptomatic patients in transmission, they did not count for potential extend across hospitals and clinics by the travel of patients, workers and instruments (Harbarth and Samore, 2012) or for possible spread from social contacts. Horizontal transmission from symptomatic patient were the important source of several cases of the disease, and it is the basis for recent prevention guidelines (Surawicz et al., 2013).

 

The evaluation of hospital broad transmission with the usage of multi-locus sequence typing or ribotyping has prevented by the massive number of sicker who share a genotype and hospital contact. Nevertheless, whole-genome sequencing illustrated that considerable genetic diversity taking place, even within segregates of the same genotype (Didelot et al., 2012) to quantify the feature of symptomatic patients in the transmission of C. difficile leading to disease and to recognize such transmission has different over time (Eyre et al., 2013).

 

In current years, the incidence and mortality rates of CDI have been enhancing (Redelings et al., 2007). Moreover, the frequency of community-acquired diseases and CDI of the adult and healthy have been increasing (Kuntz et al., 2011; Lessa et al., 2015). PCR ribotyping in Europe is the standard assay for genotyping of C. difficile isolates. Nevertheless, whole-genome sequencing will become the assay of option in near next time. Ribotypes 001,027, 014 and 078 are the most prevalent ones in Germany (Sim et al., 2017). Some of them, like 027 (BI/NAP1) and 078 were binary toxin positive and have related to enhanced virulence (Goorhuis et al., 2008; McDonald et al., 2005; Warny et al., 2005). Ribotype 126, which is less prevalent is considered as potentially hypervirulent since it shares 99.7% of its genes with ribotype 078 (Kurka et al., 2014). Ribotype 027 has spread around the world since its first emergence. In addition, the prevalence of hypervirulent strains continues to increase (Freeman et al., 2010; Goorhuis et al., 2008). In these futuristic two year study in China, the incidence of CDI among 276 patients with mild diarrhea was 23.1%. The absence of diagnostic testing for CDI was associated with in-appropriate management in 26.4% of patients, risk of nosocomial transmission from the absence of segregation caution, mind risk of society transmission from discharging symptomatic toxigenic C. difficile carriers (Zhang et al., 2016).

 

The overall prevalence of CDI and feasible risk factors between hospitalized patients who had watery diarrhea in Wuhan, China was 28%. The discovery of this study expects the prevalence of CDI in hospitalized patients with diarrhea is higher than what has been previously reported in the present literature (Galaydick et al., 2015). However, the available data on an association ribotypes with severe infections are contradictory (Carlson Jr et al., 2013; Goorhuis et al., 2008; Walk et al., 2012). Ribotypes 078 and 126 represent a high genetic variation compare to many other recognize ribotypes (Kurka et al., 2014). Infections with ribotype 078 strains are most usual in animals (Goorhuis et al., 2008; Hensgens et al., 2012), have illustrate that the incidence of human-to-human transmission might be overestimated (Eyre et al., 2012). Instead, the transmission may often happen via the foodborne or zoonotic routes (Hensgens et al., 2012; Rodriguez-Palacios et al., 2013). CDI was highly related to antibiotic pretreatment affecting the intestinal microbiota (symbiosis) (Borriello, 1998; Buffie et al., 2015). Therefore, huge transmission range in hospitals, enhancing infection rates, and the socioeconomic burden of CDI to the health systems steadily increasing (DePestel and Aronoff, 2013; Dubberke and Olsen, 2012; Lessa et al., 2015).

 

Moreover, recurrent infections are difficult to treat as the microbiome. May be insistently affected due to re-emergence association of CDI, despite successful treatment. This often leads to an ongoing cycle of symptoms, treatment, relief of symptoms and recurrence.

 

Epidemiological correlation among genetically dependent cases were classified as “ward contact”, while incidents happened in two patients who had been present in the same hospital ward at the same time and this period of time was stable with among of patient transmission.

 

For happened transmission, it was supposed that cases were infectious from one week earlier diagnosis through eight weeks after the determination of the disease (Jinno et al., 2012; Sethi et al., 2010; Walker et al., 2012), with 0 to 12 weeks incubation period (Cohen et al., 2010; Walker et al., 2012). Sampled patients, considered to be infectious for eight weeks after their last positive diagnostic test. If not existed ward contact, patients might be connected by time (as above) within the same hospital or be exposure to the same ward, but with a respite of until twenty-eight days isolating the discharge of the first patient and the admission of the second patient. The cases of those patients who have classified as social contact, obtained from the same area or lived in the same district (Eyre et al., 2013).

 

The first approach to analyze C. difficile genomic diversity was based on various molecular typing assays. They were targeting either the whole genome (limitation endonuclease analysis, primed PCR, REA, pulsed-field gel electrophoresis, APPC), multiple-locus variable-number tandem repeat analysis (MLVA), different loci (multilocus sequence typing (MLST), or a single region (surface layer protein A (slpA) typing, PCR ribotyping, toxin typing) (Janezic and Rupnik, 2010; Knetsch et al., 2013). The first explanation about C. difficile genome was published in 2006 (Sebaihia et al., 2006). Eventually, microarray-based comparative genome hybridization (CGHs) were utilized in different researches, on genetic diversity belong to host specificity, and strain virulence (Janvilisri et al., 2009; Marsden et al., 2010; Scaria et al., 2010; Stabler et al., 2006). With the evolvement of next-generation sequencing (NGS) techniques, the comparative genomics also made advances in C. difficile study. The first publication illustrated the analysis of less than ten strains (Didelot et al., 2012; Marsden et al., 2010; Stabler et al., 2010), but the numbers of sequenced and analyzed partial genomes quickly enhanced (Didelot et al., 2012; Dingle et al., 2013; Elliott et al., 2014; Eyre et al., 2013a, b, c; He et al., 2010, 2013; Kurka et al., 2014). Despite this increase, and although more than 300 different C. difficile PCR ribotypes are right now itinerating within the human society. The absolute majority of comparative genomic studies to date have focused solely on some strains/types that have more repeatedly related to CDI outbreaks, with a central role assigned to the PCR of 027 ribotype (Eyre et al., 2013; He et al., 2013; Stabler et al., 2010).

 

Similar to previous MLST and microarray-based studies, whole-genome comparisons mainly focused on exploring the phylogeny, population structure of C. difficile, more recently epidemiology and in particular transmission (Didelot et al., 2012; Dingle et al., 2013; Elliott et al., 2014; Eyre et al., 2013a, b; He et al., 2010, 2013; Janvilisri et al., 2009; Kurka et al., 2014; Stabler et al., 2009).

 

Here we present an overview of C. difficile genomic diversity studies, with a concentrate on phylogenetic and epidemiological aspects and the diversity of virulence correlated regions (Janezic and Rupnik, 2015). This review aims to highlight the comparison among ten isolates acquired from 8 episodes of CDI in one patient to contribute the identification of CDI reoccurring phenomenon (Sachsenheimer et al., 2018).

 

C. difficile pan and core genome

On a species plane, C. difficile exhibits a low level of gene conservation. CGH studies have estimated that only 16-32% of genes were conserved in C. difficile (Forgetta et al., 2011; He et al., 2010; Janvilisri et al., 2009; Marsden et al., 2010; Scaria et al., 2010; Stabler et al., 2006).

 

In one study, the pan-genome (complete gene pool found in a species) of C. difficile was estimated at a level of 9640 genes (Scaria et al., 2010). Feeble gene conservation among C. difficile and other clostridial species has also reported. It matching with the proposal that those genes of C. difficile (together with its close dependent within-cluster XI, as determined by Collins) (Collins et al., 1994), which have conserved between C. difficile shown homologues with those genes which involved in housekeeping function (DNA degradation, replication, cell division, biosynthesis, transcription and metabolism) and were found outside the regions that have horizontally obtained DNA (Janvilisri et al., 2009; Sebaihia et al., 2006). Divergent genes could found to be disseminated throughout the whole genome and functional domains, but predominated in elements of extrachromosomal origin (Janvilisri et al., 2009).

 

High genome plasticity of C. difficile and scope of recombination

Based on whole-genome sequences, the C. difficile genome length is from 4.1-4.3 Mbp (Megabase Pair) (He et al., 2010; Sebaihia et al., 2006; Stabler et al., 2009). Variations in genome length are mainly attributable to move genetic elements, basically putative conjugative transposons and bacteriophages shown 11% organization with C. difficile genome (Janvilisri et al., 2009; Mullany et al., 2015).

 

Population structure of C. difficile species

Even though a high plane of genomic diversity, genome sequencing indicated and multi-locus sequence typing illustrated that the structure population of C. difficile is clonal. Initial, the multi-locus sequence typing scheme for C. difficile was demonstrated by Lemee et al (Griffiths et al., 2010). To appraise the genetic correlation and structure population of C. difficile isolates from different hosts (animals, humans), whit various toxigenic conditions and various geographic places (Griffiths et al., 2010).

 

C. difficile evolution through diverse lineages

Research studies utilized comparative phylogenomics, entire genome and MLST comparison relying on single nucleotide polymorphism (SNP) identity, the core genome illustrated that the assess of C. difficile happened through various lineage (Dingle et al., 2013; Griffiths et al., 2010; He et al., 2010; Knetsch et al., 2012; Stabler et al., 2006, 2012).

 

Expansion of C. difficile PCR ribotype 027 on a global level

Worldwide phylogeny, which relies on the core genome of 151 isolates of polymerase chain reaction (PCR) ribotype 027/NAPI/BI. Illustrated the presence of two genetically different epidemic lineages namely; FQR1 and FQR2 that appeared newly from strains cluster near the root of the phylogenetic tree, so-called pre epidemic strains. The two epidemic progenitors had various templates of worldwide expansion and representing limited land clustering, insinuate prevalent massive range transmission between humans and also in a limited amount, spreading among humans, food and animals. Nevertheless, isolates in both progenitors were tremendous resistant to fluoroquinolones and accomplished the same mutation in DNA gyrase, which was obtained independently after the segregation almost twenty years ago. Both progenitors could also share a similar conjugative transposon (Tn6192). These were solely two genetic features segregation FQR1 and FQR2 progenitors from the pre epidemic 027 isolated and were most fundamental changes related to the quick egress of 027/NAP1/B1 (He et al., 2010, 2013).

 

Macro morphology, diagnostic and clinical data, antibiograms, Anamnestic, and ribotyping

Whole 10 C. difficile isolated cases were consecutively isolated from feces of 73-year-old humans during 58 weeks after appearing manifestations of nausea and diarrhea with the drastic underlying situation. Including heart failure, chronic kidney illness, and myeloproliferative neoplasms. The patient firstly cared in the clinic for staphylococcus septicemia using rifampicin and flucloxacillin for four weeks. The initial episode of CDI happened after clinic discharge. The patient individual has continuously improved watery diarrhea after cefuroxime treatment in the beginning.

 

Interestingly, oral treating of vancomycin play significant role in treatment. The duration and drastic among episodes of CDIs are highly different. The manifestation caused by isolate 10 were just mild intestinal inconvenience without diarrhea which latterly resolved automatically. Treatment of the CDIs containing fidaxomicin, vancomycin, and rifaximin. Some episode resolute automatically. Whole hospital isolates had identified by PCR ribotyping, multiplex PCR for the existence of common toxin (tcdA and tcdB) and double toxin (cdtA and B) genes and by antibiotic susceptibility examination. Solely first and second isolates, which shown moxifloxacin and erythromycin resistance. All other isolates were completely susceptible to the checked antibiotics. The initial two dyadic toxins positive, which should be related to higher virulent ribotypes. The 10 isolated were not epidemic and associated with a still non-classified ribotype with rare toxin pattern (Indra et al., 2008; Sachsenheimer et al., 2018; von Müller et al., 2015).

 

Genetic associations among whole 10 isolates

To acquire an in profoundness scheme of the genetic association among the sick isolates, and to research potent microevolution during persistence infection, entire genome sequencing of all isolates have accomplished. Hybrid assemblies of the studies acquired with 4554 and Illumina technique resulted in 114-470 contains with at least 500 bp length. According to these shotgun genome sequences, analysis of SNPs and MLST analysis and gaps were carried out. MLST entirely confirmed the ribotyping outcomes but shown an additional close association among isolates 1 and 2 on one side and isolate 10 on the other side (Griffiths et al., 2010). Another tight association was revealed among isolates 7, 8, and 9.

 

Genome comparisons of entire isolates against each other were accomplished by mutually mapping the Illumina and 454 reads generated from each isolate onto the shotgun genomes assembled for the whole of an isolate. In that isolates relating to ST-10, ST-14 and ST-76 sharer among 54 and 60% of their genomes in ROIs. If isolates have associated with the equal ST, more than 99% of their genomes were recognized as ROIs without in the case of isolate 10, determining the feasibility that the second and third CDI episodes reasoned by these isolates were re-substituting infections. However, isolate 10, which was isolated after 54 or 58 weeks than first and second isolate, and which the time of ribotyping was recognized as variant RT, shown solely among approx. 87-92 % determining parts with the first two isolates. SNP numbers among isolates of the same MLST sequence type were tremendously low (0-2 SNPs per comparison). Threated parts involving the active center of a glucose-particular phosphotransferase system, in which one of the conserved amino acids was inverted form G-W in isolate 2.

 

The other SNP among these two strains outcome in one amino acid invert in an ORF annotated as feasible permease in isolate 1 and as a transporter in isolate 2. Including ST 14, isolate 6 also presented an SNP within the conserved domain of a template efflux transporter, which happened in a no conserved residue. The SNP recognized between the ST 76 isolates threated two-component sensor histidine kinase. Therefore, whole regions in which SNPs among isolates of the equal ST coincided with ROIs among isolates of various STS were placed in isolate 10. By testing the alignment of the corresponding ORFs from whole isolates.

 

Therefore, ORFs with determinable amino acid translations can be recognized utilizing the BLAST tools tblastn. Whenever entire strains included most resembling sets of competence associated genes, transposon associated genes were frequently ST or particular RT.

 

An exception was transposes associated protein invent in ST 76 strains and strain 4 (ST14), it has happened in two various small copies. One of these copies has been determinable in the ST 76 ORFs on the amino acid and nucleotide levels. A BLAST analysis for other sequences more than 70% equal to the strain 4 sequences did not recognize and other homologs between the left draft genomes, determining this protein may have been newly integrated into strain 4 (Sachsenheimer et al., 2018).

 

BLAST alignments of well-known virulence genes

The scheme genome screened for a set of motility, toxin and cell division associated genes utilizing the BLST tools tblastn. Isolates 1, 2 and 10, have been related to ST 11, encode the binary toxin genes cdtA and cdtB, which are thought-out to be correlated with higher virulence. Entirely, the last isolate in this line of the patient, isolate 10 was not solely identified by a novel non-epidemic ribotype but also a peculiar toxin locus. This identified locus had no tcdB and individually regions of tcdA with matched parts beginning 820 amino acids after the protein in reference strain 360 and strain R20291, and absence a probable start codon (Bouvet and Popoff, 2008; Ransom et al., 2014; Sachsenheimer et al., 2018).

 

Antibiotic resistance genes

In order to, after alignment of the eleven 23S rDNA genes to reference assembly C. difficile 630 (NC-009089.1) including the 23S rDNA segments recognized in assemblies, were invent the sequence fragment in asking (GTGCGGA or GTGTGGA) to be placed one bp forward 3’ in more C. difficile 630 gene copies and three bp forward 3’ in the alignment. The sequence was polymorphous among the eleven C. difficile 630 genes with seven genes copies having the sequence GTGCGGA and 4 having the sequence GTGTGGA. Therefore, between assemblies, this part was covered solely in erythromycin sensitive isolates, but both (GTGCGGA and GTGTGGA) were differently invented. Whenever, the GTGCGGA difference was recognized in third and fourth isolates, and GTGTGGA different was recognized in isolates 7, 8 and 9. Then, cannot prevent differentiation among the single 23S rDNA copies of entire isolates (Marosevic et al., 2017; Sachsenheimer et al., 2018; Schmidt et al., 2007; Spigaglia, 2016).

 

CONCLUSION

 

C. difficile causes recurrent infections in 15-30% patients (Lübbert et al., 2016; Maroo and Lamont, 2006). Several patients were suffered from a mix of recurrence and reinfection in a huge amount of relapses infections. Entirely, isolates seven, eight, nine and ten were mostly obtained from the community. Antibiotic therapy has recognized as one of the basic risk factors for CDI (Rupnik et al., 2009). If CDIs re-happened, the feasibility of recurrent, reinfections and their mortality rate likely to increase with each infection. Have counted in a follow-up series of sick with relapses infection that opportunity for a first relapse is 18.2 percent (222/1223), 28.4 percent (63/222) of those patients population would have a second relapse (third CDI episode). Of these groups, 30.2 percent (19/63) would have a third relapse (fourth DCI episode). In routine diagnosis, these mixed infections have most likely underestimated. In most laboratories, diagnosis were based on toxin testing (for TcdA and TcdB), detection of the glutamate dehydrogenase or nucleic acid amplification test (NAATs) (Tenover et al., 2011). Ribotype 078, which approximately determinable with 126, has also related to an enhanced virulence (Goorhuis et al., 2008), and it has recognized in animal’s infection. Such as calf and pigs (Hensgens et al., 2012). Proteins have a SPOR domain are often part of the septal ring that mediates cell division in several other bacteria (Ransom et al., 2014; Yahashiri et al., 2015). Our review revealed that the genome of whole patient isolates except isolate ten having the toxigenic C. difficile locus PaLoc. Since, the patient had severe symptoms during CDI episodes one, two and seven, but lightly affected during other remains episodes. The intensity of CDI has mostly related to antibiotic dependent combination of microbiome. Therefore, immunogenic status and comorbidities of the host. Complete genome sequencing of C. difficile strains have the fruitfulness of all PCR based ribotyping approaches to path patient to patient conduction events and to more accurately differentiation recurrent form reinfection (Kumar et al., 2015; Mac Aogáin et al., 2015; Sim et al., 2017; Stevenson et al., 2015). Genomic comparisons of the most associated isolates within one ST revealed little prove for microevolution. However, most of the identified high-confidence SNPs resulted in changes in the amino acid level. They had placed within conserved domains of the respective proteins suggesting that they might affect protein function. Screening of entire strains for genomic expansion that may have lately converted among the bacterial dynasty did not produce evidence for coming genome exchange. Previously methods to the recognition of genomic diversity of C. difficile have relied on molecular typing approaches or sequence identification of selected genes. The first genome of C. difficile was augmented in 2006 and has resulted in multiple microarray-based studies, with WGS methods, phylogeny and transmission have continuously studied in great detail. The C. difficile species presently assembled into six different phylogenetic clades determined from one to five and C-I. The illnesses causing isolates have invented in all clades; as well as, higher virulent strains with increased epidemic and virulence potent are invent in three of five toxigenic clads. Up to date, C. difficile is thought-out a significant nosocomial pathogen, and comparative genomics supports the looking which a huge proportion of C. difficile infections originate from non-hospital sources. Comment: However, this does not explain why CDI cases and their associated morbidity are rising.

 

ACKNOWLEDGMENTS

 

The author wish to thanks from National Science foundation (NSF) China, Ministry of education of China.

 

AUTHORS CONTRIBUTION

 

All the authors have contributed in terms of technical knowledge in framing the article.

 

CONFLICT OF INTEREST

 

The authors have declared no conflict of interest.

 

REFERENCES

 

  • Borriello S (1998). Pathogenesis of Clostridium difficile infection. J. Antimicrob. Chemother., 41(suppl_3): 13-19. https://doi.org/10.1093/jac/41.suppl_3.13
  • Bouvet PJ, Popoff MR (2008). Genetic relatedness of Clostridium difficile isolates from various origins determined by triple-locus sequence analysis based on toxin regulatory genes tcdC, tcdR, and cdtR. J. Clin. Microbiol., 46(11): 3703-3713. https://doi.org/10.1128/JCM.00866-08
  • Buffie CG, Bucci V, Stein RR, McKenney PT, Ling L, Gobourne A, Viale A (2015). Precision microbiome reconstitution restores bile acid mediated resistance to Clostridium difficile. Nature, 517(7533): 205. https://doi.org/10.1038/nature13828
  • Carlson Jr, PE, Walk ST, Bourgis AE, Liu MW, Kopliku F, Lo E, Hanna PC (2013). The relationship between phenotype, ribotype, and clinical disease in human Clostridium difficile isolates. Anaerobe, 24: 109-116. https://doi.org/10.1016/j.anaerobe.2013.04.003
  • Clabots CR, Johnson S, Olson MM, Peterson LR, Gerding DN (1992). Acquisition of Clostridium difficile by hospitalized patients: evidence for colonized new admissions as a source of infection. J. Infect. Dis., 166(3): 561-567. https://doi.org/10.1093/infdis/166.3.561
  • Cohen SH, Gerding DN, Johnson S, Kelly CP, Loo VG, McDonald LC, Wilcox MH (2010). Clinical practice guidelines for Clostridium difficile infection in adults: 2010 update by the society for healthcare epidemiology of America (SHEA) and the infectious diseases society of America (IDSA). Infect. Control Hosp. Epidemiol., 31(5): 431-455. https://doi.org/10.1086/651706
  • Collins M, Lawson P, Willems A, Cordoba J, Fernandez-Garayzabal J, Garcia P, Farrow J (1994). The phylogeny of the genus Clostridium: proposal of five new genera and eleven new species combinations. Int. J. Syst. Evol. Microbiol., 44(4): 812-826. https://doi.org/10.1099/00207713-44-4-812
  • DePestel DD, Aronoff DM (2013). Epidemiology of Clostridium difficile infection. J. Pharm. Pract., 26(5): 464-475. https://doi.org/10.1177/0897190013499521
  • Didelot X, Eyre DW, Cule M, Ip CL, Ansari MA, Griffiths D, Batty EM (2012). Microevolutionary analysis of Clostridium difficile genomes to investigate transmission. Genome Biol., 13(12): R118. https://doi.org/10.1186/gb-2012-13-12-r118
  • Dingle KE, Elliott B, Robinson E, Griffiths D, Eyre DW, Stoesser N, Wilcox MH (2013). Evolutionary history of the Clostridium difficile pathogenicity locus. Genome Biol. Evol., 6(1): 36-52. https://doi.org/10.1093/gbe/evt204
  • Dubberke ER, Olsen MA (2012). Burden of Clostridium difficile on the healthcare system. Clin. Infect. Dis., 55(suppl_2): S88-S92. https://doi.org/10.1093/cid/cis335
  • Dubberke ER, Reske KA, Olsen MA, McMullen KM, Mayfield JL, McDonald LC, Fraser VJ (2007). Evaluation of Clostridium difficile–associated disease pressure as a risk factor for C difficile–associated disease. Arch. Intern. Med., 167(10): 1092-1097. https://doi.org/10.1001/archinte.167.10.1092
  • Elliott B, Dingle KE, Didelot X, Crook DW, Riley TV (2014). The complexity and diversity of the Pathogenicity Locus in Clostridium difficile clade 5. Genome Biol. Evol., 6(12): 3159-3170. https://doi.org/10.1093/gbe/evu248
  • Eyre DW, Cule ML, Wilson DJ, Griffiths D, Vaughan A, O’Connor L, Finney JM (2013a). Diverse sources of C. difficile infection identified on whole-genome sequencing. New Engl. J. Med., 369(13): 1195-1205. https://doi.org/10.1056/NEJMoa1216064
  • Eyre DW, Golubchik T, Gordon NC, Bowden R, Piazza P, Batty, EM, O’Connor L (2012). A pilot study of rapid benchtop sequencing of Staphylococcus aureus and Clostridium difficile for outbreak detection and surveillance. BMJ Open, 2(3): e001124. https://doi.org/10.1136/bmjopen-2012-001124
  • Eyre DW, Walker AS, Freeman J, Baines SD, Fawley WN, Chilton CH, Peto TE (2013b). Short-term genome stability of serial Clostridium difficile ribotype 027 isolates in an experimental gut model and recurrent human disease. PloS One, 8(5): e63540. https://doi.org/10.1371/journal.pone.0063540
  • Eyre D, Fawley W, Best E, Griffiths D, Stoesser N, Crook D, Wilcox M (2013c). Comparison of multilocus variable-number tandem-repeat analysis and whole-genome sequencing for investigation of Clostridium difficile transmission. J. Clin. Microbiol., 51(12): 4141-4149. https://doi.org/10.1128/JCM.01095-13
  • Forgetta V, Oughton MT, Marquis P, Brukner I, Blanchette R, Haub K, Loo VG (2011). Fourteen-genome comparison identifies DNA markers for severe-disease-associated strains of Clostridium difficile. J. Clin. Microbiol., 49(6): 2230-2238. https://doi.org/10.1128/JCM.00391-11
  • Freeman J, Bauer M, Baines SD, Corver J, Fawley W, Goorhuis B, Wilcox M (2010). The changing epidemiology of Clostridium difficile infections. Clin. Microbiol. Rev., 23(3): 529-549. https://doi.org/10.1128/CMR.00082-09
  • Galaydick J, Xu Y, Sun L, Landon E, Weber SG, Sun D, Sherer R (2015). Seek and you shall find: prevalence of Clostridium difficile in Wuhan, China. Am. J. Infect. Control, 43(3): 301-302. https://doi.org/10.1016/j.ajic.2014.11.008
  • Goorhuis A, Debast SB, van Leengoed LA, Harmanus C, Notermans DW, Bergwerff AA, Kuijper EJ (2008). Clostridium difficile PCR ribotype 078: an emerging strain in humans and in pigs? J. Clin. Microbiol., 46(3): 1157-1158. https://doi.org/10.1128/JCM.01536-07
  • Griffiths D, Fawley W, Kachrimanidou M, Bowden R, Crook DW, Fung R, Jolley KA (2010). Multilocus sequence typing of Clostridium difficile. J. Clin. Microbiol., 48(3): 770-778. https://doi.org/10.1128/JCM.01796-09
  • Harbarth S, Samore MH (2012). Clostridium: transmission difficile? PLoS Med., 9(2): e1001171. https://doi.org/10.1371/journal.pmed.1001171
  • He M, Miyajima F, Roberts P, Ellison L, Pickard DJ, Martin MJ, Bamford KB (2013). Emergence and global spread of epidemic healthcare-associated Clostridium difficile. Nat. Genet., 45(1): 109. https://doi.org/10.1038/ng.2478
  • He M, Sebaihia M, Lawley TD, Stabler RA, Dawson LF, Martin MJ, Rance R (2010). Evolutionary dynamics of Clostridium difficile over short and long time scales. Proc. Natl. Acad. Sci., 107(16): 7527-7532. https://doi.org/10.1073/pnas.0914322107
  • Hensgens MP, Keessen EC, Squire MM, Riley TV, Koene MG, de Boer E, Kuijper E (2012). Clostridium difficile infection in the community: a zoonotic disease? Clin. Microbiol. Infect., 18(7): 635-645. https://doi.org/10.1111/j.1469-0691.2012.03853.x
  • Indra A, Schmid D, Huhulescu S, Hell M, Gattringer R, Hasenberger P, Allerberger F (2008). Characterization of clinical Clostridium difficile isolates by PCR ribotyping and detection of toxin genes in Austria, 2006–2007. J. Med. Microbiol., 57(6): 702-708. https://doi.org/10.1099/jmm.0.47476-0
  • Inns T, Gorton R, Berrington A, Sails A, Lamagni T, Collins J, Gould K (2013). Effect of ribotype on all-cause mortality following Clostridium difficile infection. J. Hosp. Infect., 84(3): 235-241. https://doi.org/10.1016/j.jhin.2013.04.008
  • Janezic S, Rupnik M (2010). Molecular typing methods for Clostridium difficile: Pulsed-field gel electrophoresis and PCR ribotyping Clostridium difficile Springer. pp. 55-65. https://doi.org/10.1007/978-1-60327-365-7_4
  • Janezic S, Rupnik M (2015). Genomic diversity of Clostridium difficile strains. Res. Microbiol., 166(4): 353-360. https://doi.org/10.1016/j.resmic.2015.02.002
  • Janvilisri T, Scaria J, Thompson AD, Nicholson A, Limbago BM, Arroyo LG, Chang YF (2009). Microarray identification of Clostridium difficile core components and divergent regions associated with host origin. J. Bacteriol., 191(12): 3881-3891. https://doi.org/10.1128/JB.00222-09
  • Jinno S, Kundrapu S, Guerrero DM, Jury LA, Nerandzic MM, Donskey CJ (2012). Potential for transmission of Clostridium difficile by asymptomatic acute care patients and long-term care facility residents with prior C. difficile infection. Infect. Control Hosp. Epidemiol., 33(6): 638-639. https://doi.org/10.1086/665712
  • Knetsch CW, Terveer EM, Lauber C, Gorbalenya AE, Harmanus C, Kuijper EJ, van Leeuwen HC (2012). Comparative analysis of an expanded Clostridium difficile reference strain collection reveals genetic diversity and evolution through six lineages. Infect. Genet. Evol., 12(7): 1577-1585. https://doi.org/10.1016/j.meegid.2012.06.003
  • Knetsch C, Lawley T, Hensgens M, Corver J, Wilcox M, Kuijper E (2013). Current application and future perspectives of molecular typing methods to study Clostridium difficile infections. Eurosurveillance, 18(4): 20381. https://doi.org/10.2807/ese.18.04.20381-en
  • Koenigsknecht MJ, Theriot CM, Bergin IL, Schumacher CA, Schloss PD, Young VB (2015). Dynamics and establishment of Clostridium difficile infection in the murine gastrointestinal tract. Infect. Immun., 83(3): 934-941. https://doi.org/10.1128/IAI.02768-14
  • Kuehne SA, Cartman ST, Heap JT, Kelly ML, Cockayne A, Minton NP (2010). The role of toxin A and toxin B in Clostridium difficile infection. Nature, 467(7316): 711. https://doi.org/10.1038/nature09397
  • Kumar N, Miyajima F, He M, Roberts P, Swale A, Ellison L, Dougan G (2015). Genome-based infection tracking reveals dynamics of Clostridium difficile transmission and disease recurrence. Clin. Infect. Dis., 62(6): 746-752. https://doi.org/10.1093/cid/civ1031
  • Kuntz JL, Chrischilles EA, Pendergast JF, Herwaldt LA, Polgreen PM (2011). Incidence of and risk factors for community-associated Clostridium difficile infection: A nested case-control study. BMC Infect. Dis., 11(1): 194. https://doi.org/10.1186/1471-2334-11-194
  • Kurka H, Ehrenreich A, Ludwig W, Monot M, Rupnik M, Barbut F, Liebl W (2014). Sequence similarity of Clostridium difficile strains by analysis of conserved genes and genome content is reflected by their ribotype affiliation. PLoS One, 9(1): e86535. https://doi.org/10.1371/journal.pone.0086535
  • Lessa FC, Mu Y, Bamberg WM, Beldavs ZG, Dumyati GK, Dunn JR, Phipps EC (2015). Burden of Clostridium difficile infection in the United States. New Engl. J. Med., 372(9): 825-834. https://doi.org/10.1056/NEJMoa1408913
  • Lübbert C, Zimmermann L, Borchert J, Hörner B, Mutters R, Rodloff AC (2016). Epidemiology and recurrence rates of Clostridium difficile infections in Germany: A secondary data analysis. Infect. Dis. Ther., 5(4): 545-554. https://doi.org/10.1007/s40121-016-0135-9
  • Mac Aogáin M, Moloney G, Kilkenny S, Kelleher M, Kelleghan M, Boyle B, Rogers T (2015). Whole-genome sequencing improves discrimination of relapse from reinfection and identifies transmission events among patients with recurrent Clostridium difficile infections. J. Hosp. Infect., 90(2): 108-116. https://doi.org/10.1016/j.jhin.2015.01.021
  • Mackin KE, Carter GP, Howarth P, Rood JI, Lyras D (2013). Spo0A differentially regulates toxin production in evolutionarily diverse strains of Clostridium difficile. PLoS One, 8(11): e79666. https://doi.org/10.1371/journal.pone.0079666
  • Maroo S, Lamont JT (2006). Recurrent clostridium difficile. Gastroenterology, 130(4): 1311-1316. https://doi.org/10.1053/j.gastro.2006.02.044
  • Marosevic D, Kaevska M, Jaglic Z (2017). Resistance to the tetracyclines and macrolide-lincosamide-streptogramin group of antibiotics and its genetic linkage–a review. Ann. Environ. Med., 24(2): 338-344. https://doi.org/10.26444/aaem/74718
  • Marsden GL, Davis IJ, Wright VJ, Sebaihia M, Kuijper EJ, Minton NP (2010). Array comparative hybridisation reveals a high degree of similarity between UK and European clinical isolates of hypervirulent Clostridium difficile. BMC Genomics, 11(1): 389. https://doi.org/10.1186/1471-2164-11-389
  • McDonald LC, Killgore GE, Thompson A, Owens Jr RC, Kazakova SV, Sambol SP, Gerding DN (2005). An epidemic, toxin gene–variant strain of Clostridium difficile. New Engl. J. Med., 353(23): 2433-2441. https://doi.org/10.1056/NEJMoa051590
  • McFarland LV, Mulligan ME, Kwok RY, Stamm WE (1989). Nosocomial acquisition of Clostridium difficile infection. New Engl. J. Med., 320(4): 204-210. https://doi.org/10.1056/NEJM198901263200402
  • Mullany P, Allan E, Roberts AP (2015). Mobile genetic elements in Clostridium difficile and their role in genome function. Res. Microbiol., 166(4): 361-367. https://doi.org/10.1016/j.resmic.2014.12.005
  • Muto CA (2007). Asymptomatic Clostridium difficile colonization: is this the tip of another iceberg? The University of Chicago Press. https://doi.org/10.1086/521855
  • Norén T, Åkerlund T, Bäck E, Sjöberg L, Persson I, Alriksson I, Burman L (2004). Molecular epidemiology of hospital-associated and community-acquired Clostridium difficile infection in a Swedish county. J. Clin. Microbiol., 42(8); 3635-3643. https://doi.org/10.1128/JCM.42.8.3635-3643.2004
  • Paredes-Sabja D, Shen A, Sorg JA (2014). Clostridium difficile spore biology: sporulation, germination, and spore structural proteins. Trends Microbiol., 22(7): 406-416. https://doi.org/10.1016/j.tim.2014.04.003
  • Pereira FC, Saujet L, Tomé AR, Serrano M, Monot M, Couture-Tosi E, Henriques AO (2013). The spore differentiation pathway in the enteric pathogen Clostridium difficile. PLoS Genet., 9(10): e1003782. https://doi.org/10.1371/journal.pgen.1003782
  • Ransom EM, Williams KB, Weiss DS, Ellermeier CD (2014). Identification and characterization of a gene cluster required for proper rod shape, cell division, and pathogenesis in Clostridium difficile. J. Bacteriol., 196(12): 2290-2300. https://doi.org/10.1128/JB.00038-14
  • Redelings MD, Sorvillo F, Mascola L (2007). Increase in Clostridium difficile–related mortality rates, United States, 1999–2004. Emerg. Infect. Dis., 13(9): 1417. https://doi.org/10.3201/eid1309.061116
  • Rodriguez-Palacios A, Borgmann S, Kline TR, LeJeune JT (2013). Clostridium difficile in foods and animals: history and measures to reduce exposure. Anim. Health Res. Rev., 14(1): 11-29. https://doi.org/10.1017/S1466252312000229
  • Rupnik M, Wilcox MH, Gerding DN (2009). Clostridium difficile infection: new developments in epidemiology and pathogenesis. Nat. Rev. Microbiol., 7(7): 526. https://doi.org/10.1038/nrmicro2164
  • Sachsenheimer F, Yang I, Zimmermann O, Wrede C, Müller L, Gunka K, Suerbaum S (2018). Genomic and phenotypic diversity of Clostridium difficile during long-term sequential recurrences of infection. Int. J. Med. Microbiol., 308(3): 364-377. https://doi.org/10.1016/j.ijmm.2018.02.002
  • Samore MH, DeGirolami PC, Tlucko A, Lichtenberg DA, Melvin ZA, Karchmer AW (1994). Clostridium difficile colonization and diarrhea at a tertiary care hospital. Clin. Infect. Dis., 18(2): 181-187. https://doi.org/10.1093/clinids/18.2.181
  • Scaria J, Ponnala L, Janvilisri T, Yan W, Mueller LA, Chang YF (2010). Analysis of ultra low genome conservation in Clostridium difficile. PLoS One, 5(12): e15147. https://doi.org/10.1371/journal.pone.0015147
  • Schmidt C, Löffler B, Ackermann G (2007). Antimicrobial phenotypes and molecular basis in clinical strains of Clostridium difficile. Diagn. Microbiol. Infect. Dis., 59(1): 1-5. https://doi.org/10.1016/j.diagmicrobio.2007.03.009
  • Schwan C, Stecher B, Tzivelekidis T, van Ham M, Rohde M, Hardt WD, Aktories K (2009). Clostridium difficile toxin CDT induces formation of microtubule-based protrusions and increases adherence of bacteria. PLoS Pathog., 5(10): e1000626. https://doi.org/10.1371/journal.ppat.1000626
  • Sebaihia M, Wren BW, Mullany P, Fairweather NF, Minton N, Stabler R, Wang H (2006). The multidrug-resistant human pathogen Clostridium difficile has a highly mobile, mosaic genome. Nat. Genet., 38(7): 779. https://doi.org/10.1038/ng1830
  • Sethi AK, Al-Nassir WN, Nerandzic MM, Bobulsky GS, Donskey CJ (2010). Persistence of skin contamination and environmental shedding of Clostridium difficile during and after treatment of C. difficile infection. Infect. Control Hosp. Epidemiol., 31(1): 21-27. https://doi.org/10.1086/649016
  • Shen A (2015). A gut odyssey: the impact of the microbiota on Clostridium difficile spore formation and germination. PLoS Pathog., 11(10): e1005157. https://doi.org/10.1371/journal.ppat.1005157
  • Sim JHC, Truong C, Minot SS, Greenfield N, Budvytiene I, Lohith A, Banaei N (2017). Determining the cause of recurrent Clostridium difficile infection using whole genome sequencing. Diagn. Microbiol. Infect. Dis., 87(1): 11-16. https://doi.org/10.1016/j.diagmicrobio.2016.09.023
  • Spigaglia P (2016). Recent advances in the understanding of antibiotic resistance in Clostridium difficile infection. Ther. Adv. Infect. Dis., 3(1); 23-42. https://doi.org/10.1177/2049936115622891
  • Stabler RA, Dawson LF, Valiente E, Cairns MD, Martin MJ, Donahue EH, Dingle KE (2012). Macro and micro diversity of Clostridium difficile isolates from diverse sources and geographical locations. PLoS One, 7(3): e31559. https://doi.org/10.1371/journal.pone.0031559
  • Stabler RA, He M, Dawson L, Martin M, Valiente E, Corton C, Rose G (2009). Comparative genome and phenotypic analysis of Clostridium difficile 027 strains provides insight into the evolution of a hypervirulent bacterium. Genome Biol., 10(9): R102. https://doi.org/10.1186/gb-2009-10-9-r102
  • Stabler RA, Valiente E, Dawson LF, He M, Parkhill J, Wren BW (2010). In-depth genetic analysis of Clostridium difficile PCR-ribotype 027 strains reveals high genome fluidity including point mutations and inversions. Gut Microbes, 1(4): 269-276. https://doi.org/10.4161/gmic.1.4.11870
  • Stabler R, Gerding D, Songer J, Drudy D, Brazier J, Trinh H, Wren B (2006). Comparative phylogenomics of Clostridium difficile reveals clade specificity and microevolution of hypervirulent strains. J. Bacteriol., 188(20): 7297-7305. https://doi.org/10.1128/JB.00664-06
  • Stevenson E, Minton NP, Kuehne SA (2015). The role of flagella in Clostridium difficile pathogenicity. Trends Microbiol., 23(5): 275-282. https://doi.org/10.1016/j.tim.2015.01.004
  • Surawicz CM, Brandt LJ, Binion DG, Ananthakrishnan AN, Curry SR, Gilligan PH, Zuckerbraun BS (2013). Guidelines for diagnosis, treatment, and prevention of Clostridium difficile infections. Am. J. Gastroenterol., 108(4): 478. https://doi.org/10.1038/ajg.2013.4
  • Tenover FC, Baron EJ, Peterson LR, Persing DH (2011). Laboratory diagnosis of Clostridium difficile infection: can molecular amplification methods move us out of uncertainty? J. Mol. Diagn., 13(6): 573-582. https://doi.org/10.1016/j.jmoldx.2011.06.001
  • von Müller L, Mock M, Halfmann A, Stahlmann J, Simon A, Herrmann M (2015). Epidemiology of Clostridium difficile in Germany based on a single center long-term surveillance and German-wide genotyping of recent isolates provided to the advisory laboratory for diagnostic reasons. Int. J. Med. Microbiol., 305(7); 807-813. https://doi.org/10.1016/j.ijmm.2015.08.035
  • Vonberg RP, Kuijper EJ, Wilcox MH, Barbut F, Tüll P, Gastmeier P, Coignard B (2008). Infection control measures to limit the spread of Clostridium difficile. Clin. Microbiol. Infect., 14: 2-20. https://doi.org/10.1111/j.1469-0691.2008.01992.x
  • Voth DE, Ballard JD (2005). Clostridium difficile toxins: mechanism of action and role in disease. Clin. Microbiol. Rev., 18(2): 247-263. https://doi.org/10.1128/CMR.18.2.247-263.2005
  • Walk ST, Micic D, Jain R, Lo ES, Trivedi I, Liu EW, Galecki AT (2012). Clostridium difficile ribotype does not predict severe infection. Clin. Infect. Dis., 55(12): 1661-1668. https://doi.org/10.1093/cid/cis786
  • Walker AS, Eyre DW, Wyllie DH, Dingle KE, Harding RM, O’Connor L, Wilcox MH (2012). Characterisation of Clostridium difficile hospital ward–based transmission using extensive epidemiological data and molecular typing. PLoS Med., 9(2): e1001172. https://doi.org/10.1371/journal.pmed.1001172
  • Warny M, Pepin J, Fang A, Killgore G, Thompson A, Brazier J, McDonald LC (2005). Toxin production by an emerging strain of Clostridium difficile associated with outbreaks of severe disease in North America and Europe. Lancet, 366(9491): 1079-1084. https://doi.org/10.1016/S0140-6736(05)67420-X
  • Yahashiri A, Jorgenson MA, Weiss DS (2015). Bacterial SPOR domains are recruited to septal peptidoglycan by binding to glycan strands that lack stem peptides. Proc. Natl. Acad. Sci., 112(36): 11347-11352. https://doi.org/10.1073/pnas.1508536112
  • Zhang D, Chen J, Zhan H, Huang Y, Chen S, Law F, Ba-Thein W (2016). Clostridium difficile-associated clinical burden from lack of diagnostic testing in a Chinese tertiary hospital. J. Hosp. Infect., 94(4): 386-388. https://doi.org/10.1016/j.jhin.2016.10.001
  •  

     

     

    Advances in Animal and Veterinary Sciences

    November

    Vol. 12, Iss. 11, pp. 2062-2300

    Featuring

    Click here for more

    Subscribe Today

    Receive free updates on new articles, opportunities and benefits


    Subscribe Unsubscribe