Literature DB >> 34270450

Comparison of Whole Genome Sequencing versus Standard Molecular Diagnostics for Species Identification in the Leishmania Viannia Subgenus.

Rachel Lau1, Avinash N Mukkala2, Ruwandi Kariyawasam3,4, Shareese Clarke5, Braulio M Valencia6,7, Alejandro Llanos-Cuentas1,8, Andrea K Boggild2,9,10.   

Abstract

The prognosis and treatment of New World tegumentary leishmaniasis is dependent on the infecting species, yet such species identification in the Leishmania Viannia subgenus poses a diagnostic challenge. Currently, speciation relies on standard molecular techniques such as restriction fragment length polymorphism (RFLP) analysis, and Sanger sequencing (SS). Whole-genome sequencing (WGS) is a robust and increasingly cost-efficient tool that may improve Leishmania species identification. We evaluated WGS versus standard RFLP-SS for species identification in three reference and five clinical strains of Leishmania Viannia spp. Internal transcribed spacer1 (its1), cysteine proteinase b (cpb), and heat shock protein 70 (hsp70) polymerase chain reaction-restriction fragment length polymorphism (RFLP) was performed, followed by SS of the its2, cpb, hsp70, and mannose phosphate isomerase (mpi) loci. After de novo assembly, sequences were mapped, and homology compared with both reference strains and reference genomes on National Center for Biotechnology Information. All American Type Culture Collection strains were confirmed to be single-species of L. V. braziliensis, L. V. guyanensis, or L. V. panamensis by WGS. Conversely, RFLP-SS was able to definitively identify one of three isolates to the species level. Clinical samples were identified as either single-species (N = 3), mixed (N = 1), or hybrid (N = 1) infections by WGS, while standard molecular diagnosis required multi-target composite analysis for identification due to loci-dependent results by RFLP-SS. We have corroborated the utility of WGS as a diagnostic tool to speciate members of the L. Viannia subgenus and to discriminate between mixed and hybrid infections. WGS is a potentially useful complement to multistaged RFLP-SS for species identification in Leishmania infections.

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Year:  2021        PMID: 34270450      PMCID: PMC8592345          DOI: 10.4269/ajtmh.21-0273

Source DB:  PubMed          Journal:  Am J Trop Med Hyg        ISSN: 0002-9637            Impact factor:   3.707


  41 in total

1.  Diagnostic performance of filter paper lesion impression PCR for secondarily infected ulcers and nonulcerative lesions caused by cutaneous leishmaniasis.

Authors:  Andrea K Boggild; Ana Pilar Ramos; Braulio Mark Valencia; Nicolas Veland; Flor Calderon; Jorge Arevalo; Donald E Low; Alejandro Llanos-Cuentas
Journal:  J Clin Microbiol       Date:  2010-12-22       Impact factor: 5.948

2.  Identification of Leishmania spp. by molecular amplification and DNA sequencing analysis of a fragment of rRNA internal transcribed spacer 2.

Authors:  Marcos E de Almeida; Francis J Steurer; Ozgur Koru; Barbara L Herwaldt; Norman J Pieniazek; Alexandre J da Silva
Journal:  J Clin Microbiol       Date:  2011-07-13       Impact factor: 5.948

3.  Detection and species identification of Leishmania DNA from filter paper lesion impressions for patients with American cutaneous leishmaniasis.

Authors:  Andrea K Boggild; Braulio Mark Valencia; Diego Espinosa; Nicolas Veland; Ana Pilar Ramos; Jorge Arevalo; Alejandro Llanos-Cuentas; Donald E Low
Journal:  Clin Infect Dis       Date:  2010-01-01       Impact factor: 9.079

4.  Simultaneous infection with Leishmania (Viannia) braziliensis and L. (V.) lainsoni in a Peruvian patient with cutaneous leishmaniasis.

Authors:  Nicolas Veland; Braulio Mark Valencia; Milena Alba; Vanessa Adaui; Alejandro Llanos-Cuentas; Jorge Arevalo; Andrea K Boggild
Journal:  Am J Trop Med Hyg       Date:  2013-02-04       Impact factor: 2.345

5.  Heat-shock protein 70 PCR-RFLP: a universal simple tool for Leishmania species discrimination in the New and Old World.

Authors:  A M Montalvo; J Fraga; L Monzote; I Montano; S De Doncker; J C Dujardin; G Van der Auwera
Journal:  Parasitology       Date:  2010-05-05       Impact factor: 3.234

6.  Whole genome sequencing of multiple Leishmania donovani clinical isolates provides insights into population structure and mechanisms of drug resistance.

Authors:  Tim Downing; Hideo Imamura; Saskia Decuypere; Taane G Clark; Graham H Coombs; James A Cotton; James D Hilley; Simonne de Doncker; Ilse Maes; Jeremy C Mottram; Mike A Quail; Suman Rijal; Mandy Sanders; Gabriele Schönian; Olivia Stark; Shyam Sundar; Manu Vanaerschot; Christiane Hertz-Fowler; Jean-Claude Dujardin; Matthew Berriman
Journal:  Genome Res       Date:  2011-10-28       Impact factor: 9.043

7.  Use of PCR-restriction fragment length polymorphism analysis to identify the main new world Leishmania species and analyze their taxonomic properties and polymorphism by application of the assay to clinical samples.

Authors:  Brice Rotureau; Christophe Ravel; Pierre Couppié; Francine Pratlong; Mathieu Nacher; Jean-Pierre Dedet; Bernard Carme
Journal:  J Clin Microbiol       Date:  2006-02       Impact factor: 5.948

8.  PCR diagnosis and characterization of Leishmania in local and imported clinical samples.

Authors:  Gabriele Schönian; Abedelmajeed Nasereddin; Nicole Dinse; Carola Schweynoch; Henk D F H Schallig; Wolfgang Presber; Charles L Jaffe
Journal:  Diagn Microbiol Infect Dis       Date:  2003-09       Impact factor: 2.803

9.  [PCR-RFLP and RAPD for typing neotropical Leishmania].

Authors:  Ana Margarita Montalvo; Lianet Monzote; Jorge Fraga; Ivón Montano; Carlos Muskus; Marcel Marín; Simonne de Doncker; Iván Darío Vélez; Jean Claude Dujardin
Journal:  Biomedica       Date:  2008-12       Impact factor: 0.935

10.  Non-invasive cytology brush PCR diagnostic testing in mucosal leishmaniasis: superior performance to conventional biopsy with histopathology.

Authors:  Andrea K Boggild; Braulio Mark Valencia; Nicolas Veland; Ana Pilar Ramos; Flor Calderon; Jorge Arevalo; Donald E Low; Alejandro Llanos-Cuentas
Journal:  PLoS One       Date:  2011-10-27       Impact factor: 3.240

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