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Superior Auto-Identification of Trypanosome Parasites by Using a Hybrid Deep-Learning Model
Published on: October 27, 2023
Trypanosoma evansi: genetic variability detected using amplified restriction fragment length polymorphism (AFLP) and
Daniel K Masiga1, Kariuki Ndung'u, Alison Tweedie
1Division of Infection and Immunity, IBLS, Biomedical Research Centre, University of Glasgow, 120 University Place, Glasgow G12 8TA, UK.
Abstract:
We compared two methods to generate polymorphic markers to investigate the population genetics of Trypanosoma evansi; random amplified polymorphic DNA (RAPD) and amplified restriction fragment length polymorphism (AFLP) analyses. AFLP accessed many more polymorphisms than RAPD. Cluster analysis of the AFLP data showed that 12 T.evansi isolates were very similar ('type A') whereas 2 isolates differed substantially ('type B'). Type A isolates have been generally regarded as genetically identical but AFLP analysis was able to identify multiple differences between them and split the type A T. evansi isolates into two distinct clades.
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