@article{fdi:010061997,
  title = {{T}rypanosoma cruzi : gene expression surveyed by proteomic analysis reveals interaction between different genotypes in mixed in vitro cultures},
  author = {{M}achin, {A}. and {T}elleria, {J}enny and {B}rizard, {J}ean-{P}aul and {D}emettre, {E}. and {S}eveno, {M}. and {A}yala, {F}. {J}. and {T}ibayrenc, {M}ichel},
  editor = {},
  language = {{ENG}},
  abstract = {{W}e have analyzed the comportment in in vitro culture of 2 different genotypes of {T}rypanosoma cruzi, the agent of {C}hagas disease, pertaining to 2 major genetic subdivisions (near-clades) of this parasite. {O}ne of the stocks was a fast-growing one, highly virulent in mice, while the other one was slow-growing, mildly virulent in mice. {T}he working hypothesis was that mixtures of genotypes interact, a pattern that has been observed by us in empirical experimental studies. {G}enotype mixtures were followed every 7 days and characterized by the {DIGE} technology of proteomic analysis. {P}roteic spots of interest were characterized by the {SAMESPOT} software. {P}atterns were compared to those of pure genotypes that were also evaluated every 7 days. {O}ne hundred and three spots exhibited changes in time by comparison with {T} = 0. {T}he major part of these spots (58%) exhibited an under-expression pattern by comparison with the pure genotypes. 32% of the spots wereover-expressed; 10% of spots were not different from those of pure genotypes. {I}nterestingly, interaction started a few minutes after the mixtures were performed. {W}e have retained 43 different proteins that clearly exhibited either under-or over-expression. {P}roteins showing interaction were characterized by mass spectrometry ({MALDI}-{TOF}). {C}lose to 50% of them were either tubulins or heat shock proteins. {T}his study confirms that mixed genotypes of {T}. cruzi interact at the molecular level. {T}his is of great interest because mixtures of genotypes are very frequent in {C}hagas natural cycles, both in insect vectors and in mammalian hosts, and may play an important role in the transmission and severity of {C}hagas disease. {T}he methodology proposed here is potentially applicable to any micropathogen, including fungi, bacteria and viruses. {I}t should be of great interest in the case of bacteria, for which the epidemiological and clinical consequences of mixed infections could be underestimated.},
  keywords = {},
  booktitle = {},
  journal = {{P}los {O}ne},
  volume = {9},
  numero = {4},
  pages = {e95442},
  ISSN = {1932-6203},
  year = {2014},
  DOI = {10.1371/journal.pone.0095442},
  URL = {https://www.documentation.ird.fr/hor/fdi:010061997},
}