Evidence map›Paper›PMID 41182612›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2026

Species Typing of Trypanosomatids Using Amplicon-Based Sequencing.

Cristian Canizales-Silva, Luz Helena Patiño, Juan David Ramírez

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Article in Methods in molecular biology (Clifton, N.J.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Cristian Canizales-SilvaCentro de Investigaciones en Microbiología y Biotecnología-UR (CIMBIUR), School of Sciences and Engineering, Universidad del Rosario, Bogotá, Colombia.
Luz Helena PatiñoCentro de Investigaciones en Microbiología y Biotecnología-UR (CIMBIUR), School of Sciences and Engineering, Universidad del Rosario, Bogotá, Colombia.
Juan David RamírezCentro de Investigaciones en Microbiología y Biotecnología-UR (CIMBIUR), School of Sciences and Engineering, Universidad del Rosario, Bogotá, Colombia. jramirezgonzalez@usf.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Amplicon-based sequencing has emerged as an exceptionally powerful tool for the identification and characterization of microorganisms, offering enhanced sensitivity and specificity in molecular diagnostics. In this chapter, we detail the amplification and sequencing protocols for two critical genetic markers: the HSP70 gene, essential for identifying Leishmania species, and the 18S ribosomal RNA gene, a well-established marker for detecting Trypanosoma species. We provide a comprehensive overview of the entire workflow, beginning with the optimization of PCR conditions to ensure robust gene amplification. The subsequent sequencing was performed using Oxford Nanopore Technologies, a platform renowned for generating long reads in real time, which facilitates a detailed analysis of genetic material and supports high-resolution taxonomic assignments. Following sequencing, we describe the bioinformatics pipeline used to process and analyze the data. This pipeline incorporates stringent quality control measures and phylogenetic analysis. Together, these steps not only enhance the accuracy of pathogen detection but also allow for an in-depth assessment of genetic diversity among trypanosomatids.

Indexed as

High-Throughput Nucleotide SequencingLeishmaniaSequence Analysis, DNATrypanosomaTrypanosomatinaComputational BiologyDNA, ProtozoanGenetic MarkersHSP70 Heat-Shock ProteinsPhylogenyPolymerase Chain ReactionRNA, Ribosomal, 18SDNA, ProtozoanGenetic MarkersHSP70 Heat-Shock ProteinsRNA, Ribosomal, 18S18S rRNAAmplicon-based sequencingBioinformaticsHeat-shock proteinsLeishmaniaTrypanosoma

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.