Literature DB >> 26831252

Suitability of loci for multiple-locus variable-number of tandem-repeats analysis of Cryptosporidium parvum for inter-laboratory surveillance and outbreak investigations.

Rachel M Chalmers1, Guy Robinson1, Emily Hotchkiss2, Claire Alexander3, Sophie May1, Janice Gilray2, Lisa Connelly3, Stephen J Hadfield1.   

Abstract

Cryptosporidium parvum is the major cause of livestock and zoonotically-acquired human cryptosporidiosis. The ability to track sources of contamination and routes of transmission by further differentiation of isolates would assist risk assessment and outbreak investigations. Multiple-locus variable-number of tandem-repeats (VNTR) analysis provides a means for rapid characterization by fragment sizing and estimation of copy numbers, but structured, harmonized development has been lacking for Cryptosporidium spp. To investigate potential for application in C. parvum surveillance and outbreak investigations, we studied nine commonly used VNTR loci (MSA, MSD, MSF, MM5, MM18, MM19, MS9-Mallon, GP60 and TP14) for chromosome distribution, repeat unit length and heterogeneity, and flanking region proximity and conservation. To investigate performance in vitro, we compared these loci in 14 C. parvum samples by capillary electrophoresis in three laboratories. We found that many loci did not contain simple repeat units but were more complex, hindering calculations of repeat unit copy number for standardized reporting nomenclature. However, sequenced reference DNA enabled reproducible fragment sizing and inter-laboratory allele assignation based on size normalized to that of the sequenced fragments by both single round and nested polymerase chain reactions. Additional Cryptosporidium loci need to be identified and validated for robust inter-laboratory surveillance and outbreak investigations.

Entities:  

Keywords:  zzm321990 Cryptosporidium parvumzzm321990 ; genotyping; multi-locus; outbreak; reproducibility; surveillance; validation; variable-number tandem-repeat

Mesh:

Substances:

Year:  2016        PMID: 26831252     DOI: 10.1017/S0031182015001766

Source DB:  PubMed          Journal:  Parasitology        ISSN: 0031-1820            Impact factor:   3.234


  5 in total

1.  Genetic Diversity of Cryptosporidium hominis in a Bangladeshi Community as Revealed by Whole-Genome Sequencing.

Authors:  Carol A Gilchrist; James A Cotton; Cecelia Burkey; Tuhinur Arju; Allissia Gilmartin; Ye Lin; Emtiaz Ahmed; Kevin Steiner; Masud Alam; Shahnawaz Ahmed; Guy Robinson; Sultan Uz Zaman; Mamun Kabir; Mandy Sanders; Rachel M Chalmers; Tahmeed Ahmed; Jennie Z Ma; Rashidul Haque; Abu S G Faruque; Matthew Berriman; William A Petri
Journal:  J Infect Dis       Date:  2018-06-20       Impact factor: 5.226

2.  Validation of a multilocus genotyping scheme for subtyping Cryptosporidium parvum for epidemiological purposes.

Authors:  Guy Robinson; Gregorio Pérez-Cordón; Clare Hamilton; Frank Katzer; Lisa Connelly; Claire L Alexander; Rachel M Chalmers
Journal:  Food Waterborne Parasitol       Date:  2022-04-11

Review 3.  Challenges for Cryptosporidium Population Studies.

Authors:  Rodrigo P Baptista; Garrett W Cooper; Jessica C Kissinger
Journal:  Genes (Basel)       Date:  2021-06-10       Impact factor: 4.096

4.  Genotyping Brucella canis isolates using a highly discriminatory multilocus variable-number tandem-repeat analysis (MLVA) assay.

Authors:  Yi Yang; Yin Wang; Elizabeth Poulsen; Russell Ransburgh; Xuming Liu; Baoyan An; Nanyan Lu; Gary Anderson; Chengming Wang; Jianfa Bai
Journal:  Sci Rep       Date:  2017-04-21       Impact factor: 4.379

Review 5.  Molecular epidemiologic tools for waterborne pathogens Cryptosporidium spp. and Giardia duodenalis.

Authors:  Lihua Xiao; Yaoyu Feng
Journal:  Food Waterborne Parasitol       Date:  2017-09-29
  5 in total

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