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Biomedical subjects

Philippe Lemey

Publications and source records attributed to Philippe Lemey.

38 records · Page 3Linked to original sources

Complete genome sequence of Montana Myotis leukoencephalitis virus, phylogenetic analysis and comparative study of the 3' untranslated region of flaviviruses with no known vector.

Montana Myotis leukoencephalitis virus (MMLV), a virus isolated from bats, causes an encephalitis in small rodents reminiscent of flavivirus encephalitis in humans. The complete MMLV genome is 10690 nucleotides long and encodes a putative polyprotein of 3374 amino acids. The virus contains the same conserved motifs in genes that are believed to be interesting antiviral targets (NTPase/helicase, serine protease and RNA-dependent RNA polymerase) as flaviviruses of clinical importance. Phylogenetic analysis of the entire coding region has confirmed the classification of MMLV in the clade of the flaviviruses with no known vector (NKV) and within this clade to the Rio Bravo branch (both viruses have the bat as their vertebrate host). We have provided for the first time a comparative analysis of the RNA folding of the 3' UTR of the NKV flaviviruses (Modoc, Rio Bravo and Apoi viruses, in addition to MMLV). Structural elements in the 3' UTR that are preserved among other flaviviruses have been revealed, as well as elements that distinguish the NKV from the mosquito- and tick-borne flaviviruses. In particular, the pentanucleotide sequence 5' CACAG 3', which is conserved in all mosquito- and tick-borne flaviviruses, is replaced by the sequence 5' C(C/U)(C/U)AG 3' in the loop of the 3' long stable hairpin structure of all four NKV flaviviruses. The availability of this latter sequence motif allows us to designate a virus as either an NKV or a vector-borne flavivirus.

3' Untranslated Regions↗

HIV evolutionary dynamics within and among hosts.

The HIV evolutionary processes continuously unfold, leaving a measurable footprint in viral gene sequences. A variety of statistical models and inference techniques have been developed to reconstruct the HIV evolutionary history and to investigate the population genetic processes that shape viral diversity. Remarkably different population genetic forces are at work within and among hosts. Population-level HIV phylogenies are mainly shaped by selectively neutral epidemiologic processes, implying that genealogy-based population genetic inference can be useful to study the HIV epidemic history. Such evolutionary analyses have shed light on the origins of HIV, and on the epidemic spread of viral variants in different geographic locations and in different populations. The HIV genealogies reconstructed from within-host sequences indicate the action of selection pressure. In addition, recombination has a significant impact on HIV genetic diversity. Accurately quantifying both the adaptation rate and the population recombination rate of HIV will contribute to a better understanding of immune escape and drug resistance. Characterizing the impact of HIV transmission on viral genetic diversity will be a key factor in reconciling the different population genetic processes within and among hosts.

Adaptation, Biological↗