Literature DB >> 29248979

Application of modified JDP-DGGE-based molecular genotyping method to predict Acanthamoeba genotype and to analyse community diversity in aquatic environments.

Tsui-Kang Hsu1,2, Jung-Sheng Chen3,4, Bing-Mu Hsu5, Yu-Pin Chen6, Tsai-Hsueh Leu6, Tung-Yi Huang3, Yu-Wen Hsu3, Shu-Fen Wu7.   

Abstract

Acanthamoeba spp. are ubiquitous, opportunistic potential human pathogens, causing granulomatous amoebic encephalitis and keratitis. They are classified as protozoa, and they include at least 20 different genotypes (T1-T20) based on variation in the 18S rRNA gene. Acanthamoeba spp. are diverse in their production of toxins and in their ability to resist environmental factors. Therefore, it is necessary to develop a rapid genotyping method for Acanthamoeba spp. in aquatic environments. Although the denaturing gradient gel electrophoresis (DGGE) method for analysing microbial genotypes is potentially useful for rapid identification of aquatic environmental species, the technique has been compromised by artificial DGGE profiles in which many DNA fragments of identical sequences are segregated and displayed as different bands. The results indicate that PCR-DGGE genotyping with a GC clamp results in many segregated weaker bands of identical DNA sequences. In contrast, PCR-DGGE genotyping without a GC clamp displays genotype-dependent patterns in the major bands. Thus, DGGE without a GC clamp was performed to compare genotyping efficiency for Acanthamoeba in 21 water samples from rivers and reservoirs in Taiwan. Among them, four samples were found to demonstrate a banding pattern with more than one major band, and these band profiles of major bands were identical to those of positive controls. DNA cloning further confirmed that the sequences of the major bands were identical. In conclusion, more than two genotypes of Acanthamoeba in the four samples were identified by this method, suggesting that PCR-DGGE genotyping without a GC clamp is a useful approach for studying the diversity of Acanthamoeba communities. Graphical abstract.

Entities:  

Keywords:  Acanthamoeba; Acanthamoeba communities; Genotype; Modified DGGE; Prediction

Mesh:

Substances:

Year:  2017        PMID: 29248979     DOI: 10.1007/s00436-017-5719-0

Source DB:  PubMed          Journal:  Parasitol Res        ISSN: 0932-0113            Impact factor:   2.289


  29 in total

1.  Unique sequence characteristics account for good DGGE separation of almost full-length 18S rDNAs.

Authors:  Zhiqing Huang; Xinxin Ke; Xiaodan Lv; Zhibin Liu; Li Ni
Journal:  World J Microbiol Biotechnol       Date:  2016-02-12       Impact factor: 3.312

2.  A new semi-nested PCR protocol to amplify large 18S rRNA gene fragments for PCR-DGGE analysis of soil fungal communities.

Authors:  Miruna Oros-Sichler; Newton C M Gomes; Gabriele Neuber; Kornelia Smalla
Journal:  J Microbiol Methods       Date:  2005-08-15       Impact factor: 2.363

Review 3.  Acanthamoeba: biology and increasing importance in human health.

Authors:  Naveed Ahmed Khan
Journal:  FEMS Microbiol Rev       Date:  2006-07       Impact factor: 16.408

4.  Comparison of CE-SSCP and DGGE for monitoring a complex microbial community remediating mine drainage.

Authors:  Hyunsuk Hong; Amy Pruden; Kenneth F Reardon
Journal:  J Microbiol Methods       Date:  2007-01-16       Impact factor: 2.363

5.  Detection of Acanthamoeba spp. in water samples collected from natural water reservoirs, sewages, and pharmaceutical factory drains using LAMP and PCR in China.

Authors:  Anna Lass; Milena Guerrero; Xiuping Li; Gabriele Karanis; Liqing Ma; Panagiotis Karanis
Journal:  Sci Total Environ       Date:  2017-01-26       Impact factor: 7.963

6.  Isolation and molecular characterization of Acanthamoeba and Balamuthia mandrillaris from combination shower units in Costa Rica.

Authors:  Lissette Retana-Moreira; Elizabeth Abrahams-Sandí; Alfonso Martín Cabello-Vílchez; María Reyes-Batlle; Basilio Valladares; Enrique Martínez-Carretero; José E Piñero; Jacob Lorenzo-Morales
Journal:  Parasitol Res       Date:  2014-08-19       Impact factor: 2.289

7.  Genetic diversity of nifH gene sequences in paenibacillus azotofixans strains and soil samples analyzed by denaturing gradient gel electrophoresis of PCR-amplified gene fragments.

Authors:  A S Rosado; G F Duarte; L Seldin; J D Van Elsas
Journal:  Appl Environ Microbiol       Date:  1998-08       Impact factor: 4.792

8.  Granulomatous amoebic encephalitis caused by Acanthamoeba amoebae of genotype T2 in a human immunodeficiency virus-negative patient.

Authors:  Julia Walochnik; Alexander Aichelburg; Ojan Assadian; Andrea Steuer; Govinda Visvesvara; Norbert Vetter; Horst Aspöck
Journal:  J Clin Microbiol       Date:  2007-11-14       Impact factor: 5.948

9.  Molecular Characterization of Pathogenic Acanthamoeba Isolated from Drinking and Recreational water in East Azerbaijan, Northwest Iran.

Authors:  Hamed Behniafar; Maryam Niyyati; Zohreh Lasjerdi
Journal:  Environ Health Insights       Date:  2015-06-29

10.  Free-living amoebae (FLA) co-occurring with legionellae in industrial waters.

Authors:  Ute Scheikl; Regina Sommer; Alexander Kirschner; Alexandra Rameder; Barbara Schrammel; Irene Zweimüller; Wolfgang Wesner; Manfred Hinker; Julia Walochnik
Journal:  Eur J Protistol       Date:  2014-05-13       Impact factor: 3.020

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  2 in total

1.  Molecular surveillance of Vittaforma-like microsporidia by a small-volume procedure in drinking water source in Taiwan: evidence for diverse and emergent pathogens.

Authors:  Jung-Sheng Chen; Bing-Mu Hsu; Hsin-Chi Tsai; Yu-Pin Chen; Tung-Yi Huang; Kuan-Ying Li; Dar-Der Ji; Herng-Sheng Lee
Journal:  Environ Sci Pollut Res Int       Date:  2018-04-30       Impact factor: 4.223

2.  Efficient nested-PCR-based method development for detection and genotype identification of Acanthamoeba from a small volume of aquatic environmental sample.

Authors:  Tsui-Kang Hsu; Jung-Sheng Chen; Hsin-Chi Tsai; Chi-Wei Tao; Yu-Yin Yang; Ying-Chin Tseng; Yi-Jie Kuo; Dar-Der Ji; Jagat Rathod; Bing-Mu Hsu
Journal:  Sci Rep       Date:  2021-11-05       Impact factor: 4.379

  2 in total

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