Publications des scientifiques de l'IRD

Tibayrenc Michel, Ayala F. J. (2014). Cryptosporidium, Giardia, Cryptococcus, Pneumocystis genetic variability : cryptic biological species or clonal near-clades ?. Plos Pathogens, 10 (4), art. e1003908 [6 p.]. ISSN 1553-7366.

Titre du document
Cryptosporidium, Giardia, Cryptococcus, Pneumocystis genetic variability : cryptic biological species or clonal near-clades ?
Année de publication
2014
Type de document
Article référencé dans le Web of Science WOS:000342033600001
Auteurs
Tibayrenc Michel, Ayala F. J.
Source
Plos Pathogens, 2014, 10 (4), art. e1003908 [6 p.] ISSN 1553-7366
An abundant literature dealing with the population genetics and taxonomy of Giardia duodenalis, Cryptosporidium spp., Pneumocystis spp., and Cryptococcus spp., pathogens of high medical and veterinary relevance, has been produced in recent years. We have analyzed these data in the light of new population genetic concepts dealing with predominant clonal evolution (PCE) recently proposed by us. In spite of the considerable phylogenetic diversity that exists among these pathogens, we have found striking similarities among them. The two main PCE features described by us, namely highly significant linkage disequilibrium and near-clading (stable phylogenetic clustering clouded by occasional recombination), are clearly observed in Cryptococcus and Giardia, and more limited indication of them is also present in Cryptosporidium and Pneumocystis. Moreover, in several cases, these features still obtain when the near-clades that subdivide the species are analyzed separately ("Russian doll pattern"). Lastly, several sets of data undermine the notion that certain microbes form clonal lineages simply owing to a lack of opportunity to outcross due to low transmission rates leading to lack of multiclonal infections ("starving sex hypothesis"). We propose that the divergent taxonomic and population genetic inferences advanced by various authors about these pathogens may not correspond to true evolutionary differences and could be, rather, the reflection of idiosyncratic practices among compartmentalized scientific communities. The PCE model provides an opportunity to revise the taxonomy and applied research dealing with these pathogens and others, such as viruses, bacteria, parasitic protozoa, and fungi.
Plan de classement
Entomologie médicale / Parasitologie / Virologie [052]
Localisation
Fonds IRD [F B010062597]
Identifiant IRD
fdi:010062597
Contact