@article{fdi:010073652,
  title = {{H}igh-throughput sequencing of k{DNA} amplicons for the analysis of {L}eishmania minicircles and identification of {N}eotropical species},
  author = {{K}ocher, {A}. and {V}aliere, {S}. and {B}anuls, {A}nne-{L}aure and {M}urienne, {J}.},
  editor = {},
  language = {{ENG}},
  abstract = {{L}eishmania kinetoplast {DNA} contains thousands of small circular molecules referred to as kinetoplast {DNA} (k{DNA}) minicercles. k{DNA} minicircles are the preferred targets for sensitive {L}eishmania detection, because they are present in high copy number and contain conserved sequence blocks in which polymerase chain reaction ({PCR}) primers can be designed. {O}n the other hand, the heterogenic nature of minicircle networks has hampered the use of this peculiar genomic region for strain typing. {T}he characterization of {L}eishmania minicirculomes used to require isolation and cloning steps prior to sequencing. {H}ere, we show that high-throughput sequencing of single minicircle {PCR} products allows bypassing these laborious laboratory tasks. {T}he 120 bp long minicircle conserved region was amplified by {PCR} from 18 {L}eishmania strains representative of the major species complexes found in the {N}eotropics. {H}igh-throughput sequencing of {PCR} products enabled recovering significant numbers of distinct minicircle sequences from each strain, reflecting minicircle class diversity. {M}inicircle sequence analysis revealed patterns that are congruent with current hypothesis of {L}eishmania relationships. {T}hen, we show that a barcoding-like approach based on minicircle sequence comparisons may allow reliable identifications of {L}eishmania spp. {T}his work opens up promising perspectives for the study of k{DNA} minicercles and a variety of applications in {L}eishmania research.},
  keywords = {{D}etection ; diagnosis ; {I}llumina ; {L}eishmania {V}iannia ; leishmini primers ; {N}ew {W}orld ; {PCR} ; sand fly ; {GUYANE} {FRANCAISE} ; {BRESIL} ; {PEROU} ; {MAROC} ; {ALGERIE}},
  booktitle = {},
  journal = {{P}arasitology},
  volume = {145},
  numero = {5},
  pages = {585--594},
  ISSN = {0031-1820},
  year = {2018},
  DOI = {10.1017/s0031182017002013},
  URL = {https://www.documentation.ird.fr/hor/fdi:010073652},
}