DOI QR코드

DOI QR Code

Genetic Variations of Candida albicans Isolated from Clinical Specimens Using Multi-locus Sequence Typing Analysis

임상 검체에서 분리된 Candida albicans의 MLST를 이용한 유전적 변이 특성

  • Kim, Hee-Jin (Department of Laboratory Medicine, Sun General Hospital) ;
  • Kim, Sang-Ha (Department of Laboratory Medicine, Konyang University Hospital) ;
  • Kim, Sunghyun (Department of Clinical Laboratory Science, College of Health Sciences, Catholic University of Pusan) ;
  • Yu, Young-Bin (Department of Biomedical Laboratory Science, College of Medical Sciences, Konyang University) ;
  • Kim, Young-Kwon (Department of Biomedical Laboratory Science, College of Medical Sciences, Konyang University)
  • 김희진 (대전선병원 진단검사의학과) ;
  • 김상하 (건양대학교병원 진단검사의학과) ;
  • 김성현 (부산가톨릭대학교 보건과학대학 임상병리학과) ;
  • 유영빈 (건양대학교 의과학대학 임상병리학과) ;
  • 김영권 (건양대학교 의과학대학 임상병리학과)
  • Received : 2018.07.09
  • Accepted : 2018.08.10
  • Published : 2018.09.30

Abstract

In this study, multi-locus sequence typing (MLST) analysis of 40 clinically isolated Candida albicans in tertiary hospitals in Daejeon, Korea, confirmed the nucleotide sequence and phylogenetic relationships of the strains collected from different specimen sources. The general variations found in seven different housekeeping genes of C. albicans, collected from urine and sputum, peripheral blood, central line blood, and other specimens, were analyzed. The phylogenetic tree was divided into 18 sub-clusters (1), a central line blood (2), others (5), sputum (1), peripheral blood (6), sputum (1), and urine (1), and the isolates at the same site were confirmed to have genetic similarity. Consequently, genetic similarity and the potential relevance were found in the strains collected from the same specimen sources. MLST analysis of C. albicans suggests that persistent data accumulation of phylogenetic gene variations of C. albicans may help establish infectious disease studies and epidemiological surveillance systems.

본 연구에서는 국내 대전 소재 3차 병원 임상에서 분리된 Candida albicans 40 균주를 대상으로 균주 분리원에 따라 7종류의 housekeeping gene에 대한 염기서열 변이를 확인하고 MLST 분석을 통해 균주간의 계통학적 연관성에 대한 연구를 수행하여 다음과 같은 결과를 얻었다. Phylogenetic tree 분석 결과 sub-cluster 1로 central line blood (2), others (5), sputum (4), urine (7)을 포함해 총 18개가 분류되었으며, sub-cluster 2로는 central line blood (1), others (5), peripheral blood (6), sputum (1), urine (1)을 포함해 총 14개가 분류되어 동일 채취 부위에서 분리된 균주는 유전학적으로 유사성을 가지고 있을 가능성이 있음을 확인하였다. 앞으로 분리지역과 상병 등에 따른 C. albicans 유전자들의 변이 추세에 대한 자료의 축적과 임상 검체에 따른 계통학적 관계를 추정하여 감염병 연구 및 역학적 감시체계 구축에 도움이 될 것으로 생각된다.

Keywords

References

  1. Kim TH, Lee YS, Lee MK, Lee KM. Species distribution and susceptibilities to azoles of Candida species including C. tropicalis in a Tertiary Burn Center. Korean J Clin Microbiol. 2010;13: 79-84. https://doi.org/10.5145/KJCM.2010.13.2.79
  2. Fridkin SK. The changing face of fungal infections in health caresettings. Clin Infect Dis. 2005;41:1455-1460. https://doi.org/10.1086/497138
  3. Chang MS, Woo JH. Opportunistic fungal infection. Hanyang Med Rev. 2006;26:25-33.
  4. Toscano CM, Jarvis WR. Emerging issues in nosocomial fungal infections. Curr Infect Dis Rep. 1999;1:347-361. https://doi.org/10.1007/s11908-999-0041-3
  5. Marcio Nucci, Kieren A. Marr. Emerging fungal diseases. Clin Infect Dis. 2005;41:521-526. https://doi.org/10.1086/432060
  6. Ahn GY, Jang SJ, Lee SH, Jeong OY, Chaulagain BP, Moon DS, et al. Trends of the species and antimicrobial susceptibility of microorganisms isolated from blood cultures of patients. Korean J Clin Microbiol. 2006;9:42-50.
  7. Kim US, Jung SI. Invasive fungal infections in the era of antifungal resistance. Korean J Med. 2015;88:518-524. https://doi.org/10.3904/kjm.2015.88.5.518
  8. Farzad Katiraee, Vahid Khalaj, Ali Reza Khosravi, Mahboubeh Hajiabdolbaghi. Sequences type analysis of Candida albicans isolates from Iranian human immunodeficiency virus infected patients with oral candidiasis. Acta Medica Iranica. 2014;52: 187-191.
  9. Bougnoux ME, Morand S, d'Enfert C. Usefulness of multilocus sequence typing for characterization of clinical isolates of Candida albicans. J Clin Microbiol. 2002;40:1290-1297. https://doi.org/10.1128/JCM.40.4.1290-1297.2002
  10. Bougnoux ME, Tavanti A, Bouchier C, Gow NA, Magnier A, Davidson AD, et al. Collaborative consensus for optimized multilocus sequence typing of Candida albicans. J Clin Microbiol. 2003;41:5265-5266. https://doi.org/10.1128/JCM.41.11.5265-5266.2003
  11. Chen KW, Chen YC, Lo HJ, Frank C. Odds, Wang TH, Lin CY, et al. Multilocus sequence typing for analyses of clonality of Candida albicans strains in Taiwan. J Clin Microbiol. 2006;44: 2172-2178. https://doi.org/10.1128/JCM.00320-06
  12. Jang SJ. Molecular diagnostics for detection of microorganism. J Clin Microbiol. 2003;6:1-6.
  13. Byun JH, Yoo JH, Park Chulmin, Lee Dg, Park SH, Choi SM. Molecular epidemiologic analysis of community-onset extended spectrum beta-lactamase (ESBL) producing Escherichia coli using infrequent-restric-tion-site polymerase chain reaction (IRS_PCR) with comparison by pulsed-field gel electrophoresis (PFGE). Infect Chemother. 2012;44:5-10. https://doi.org/10.3947/ic.2012.44.1.5
  14. Kim YS, Jang SJ. Basic concepts of bacterial taxonomy. Korean J Clin Microbiol. 2012;15:79-87. https://doi.org/10.5145/KJCM.2012.15.3.79
  15. Jeong SK, Kim SY, Bong JM, Paik EK, Lee KH, Lee SO, et al. A case of psoas abscess due to Candida albicans. Infection and Chemotherapy. 2003;35:325-328.
  16. Juan C. Robles, Larry Koreen, Steven Park, David S. Perlin. Multilocus sequence typing is a reliable alternative method to DNA fingerprinting for discriminating among strains of Candida albicans. J Clin Microbiol. 2004;42:2480-2488. https://doi.org/10.1128/JCM.42.6.2480-2488.2004
  17. Frank C. Odds, Mette D. Jacobsen. Multilocus sequence typing of pathogenic Candida species. Eukaryotic Cell. 2008;7: 1075-1084. https://doi.org/10.1128/EC.00062-08
  18. Kim JI, Lim JH, Lee JW, Lee HB. Phylogenetic relationship of Microcystis (Cyanolhyceae) based on partial 16S rRNA gene sequences in Korea. Algae. 2002;17:153-159. https://doi.org/10.4490/ALGAE.2002.17.3.153

Cited by

  1. A Comparison of the Ability of Fungal Internal Transcribed Spacers and D1/D2 Domain Regions to Accurately Identify Candida glabrata Clinical Isolates Using Sequence Analysis vol.24, pp.4, 2018, https://doi.org/10.15616/bsl.2018.24.4.430