2020
DOI: 10.3389/fcimb.2020.582192
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Genomic Diversification, Structural Plasticity, and Hybridization in Leishmania (Viannia) braziliensis

Abstract: Leishmania (Viannia) braziliensis is an important Leishmania species circulating in several Central and South American countries. Among Leishmania species circulating in Brazil, Argentina and Colombia, L. braziliensis has the highest genomic variability. However, genomic variability at the whole genome level has been only studied in Brazilian and Peruvian isolates; to date, no Colombian isolates have been studied. Considering that in Colombia, L. braziliensis is a species with great clinical and therapeutic re… Show more

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Cited by 25 publications
(45 citation statements)
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“…(V.) panamensis and 7 L. (V.) braziliensis parasites. Raw data (.sra) were downloaded from two previous studies (44,45). The module fastq-dump from NCBI SRA toolkit v2.10.9…”
Section: Whole Genome Assembly and Analysis Of Gp63 Substrate Specifimentioning
confidence: 99%
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“…(V.) panamensis and 7 L. (V.) braziliensis parasites. Raw data (.sra) were downloaded from two previous studies (44,45). The module fastq-dump from NCBI SRA toolkit v2.10.9…”
Section: Whole Genome Assembly and Analysis Of Gp63 Substrate Specifimentioning
confidence: 99%
“…We next sought to determine the potential for the relative amounts of D463 and N463 alleles to contribute to variation in leishmaniasis by analyzing GP63 sequence variation from recently isolated parasites from Colombia and Bolivia (44,45). Patino et al sequenced whole genomes from parasites (19 L. (V.) panamensis(44) and 7 L. (V.) braziliensis( 45)) from 26 infected patients.…”
Section: Within the Viannia Subgenus Clinical Isolates Of L (V) Braziliensis Have A Higher Proportion Of The Cxcl10 Cleaving Gp63 D463 Almentioning
confidence: 99%
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“…Finally, taxonomy was assigned based on the RDP trainset 16/release 11.5 [49] and the HOMD v.15.1 [24] database by applying the ‚assignTaxonomy' function from the dada2 package that utilizes the RDP Naive Bayesian Classi er described by Wang et al [50], with kmer size = 8, and 100 bootstrap replicates. In order to further infer phylogenetic relationships R/bioconductor packages msa v.1.18.0 [51] and phangorn v.2.5.5 [52] were used to build multiple sequence alignments and construct a phylogenetic tree. Before downstream analysis samples were rare ed to an even sampling depth of 500 reads using the R/bioconductor package phyloseq v.1.32.0 [53].…”
Section: Read Processing and Taxonomic Analysismentioning
confidence: 99%