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UID:1854@i2m.univ-amu.fr
DTSTART;TZID=Europe/Paris:20170706T140000
DTEND;TZID=Europe/Paris:20170706T160000
DTSTAMP:20241209T085221Z
URL:https://www.i2m.univ-amu.fr/evenements/comparative-genomics-study-for-
 identification-of-gene-acquisitions-in-megavirales/
SUMMARY:Sourabh Jain (Unité de recherche sur les maladies infectieuses et 
 tropicales émergentes): Comparative genomics study for identification of 
 gene acquisitions in Megavirales
DESCRIPTION:Sourabh Jain: Discovery of giant viruses with giant genome size
  and surprising genomic features raises different question about their ori
 gin and evolution. The diversity of Megavirales (MVs) imposes diﬃculties
  in collectively evaluating their phylogenetic relationships. While small 
 subset of conserved core genes and phylogenomic analyses based on them\, p
 rovide useful classification of MVs\, but they give little insight on the 
 remaining un-conserved and variable gene content of accessory genomes. Thu
 s\, many phylogenetic studies have pointed out decisive role of HGTs and g
 enetic exchanges on evolution of MVs\, but\, majority of them are based on
  closely related MV families. However\, exact proportion of instances of g
 enes acquired horizontally varies greatly with the methodologies used for 
 their detection of interpretation of phylogenies prepared. Therefore\, it 
 is necessary to adopt some systematic searching for detecting reticulate e
 volutionary events like HGT in MVs to decipher genomic composition and gen
 ome mosaicism of distantly related MV families. To investigate the contrib
 ution of HGTs in distantly related MV families\, we have determined gene d
 istributions and gene phylogenies for the 86 complete MV ORFomes classifie
 d in 6 defined and 4 putative families\, in context of their homologs from
  other domains of life. At first\, we prepared an automated phylogenetic w
 orkflow MimiLook\, which deduces orthologous groups (OGs) from ORFomes of 
 MVs and constructs phylogeny by performing alignment generation\, alignmen
 t editing and BLASTP searching across NCBI nr protein sequence database. F
 inally\, this tool detects statistically validated events of gene acquisit
 ions with the help of T-REX algorithm.\nWe found 4577 clusters of ortholog
 us groups (OGs)\, out of it\, 91% of OGs are found to be family specific (
 i.e. represented by species classified in one MV family only)\, whereas\, 
 only 9% are represented by proteins from 2 or more MV families. In step 2 
 of our analysis\, we found 414 OGs with detected HGT event. 174 were infer
 red to have transferred from eukaryotes\, 106 to have transferred from bac
 teria and 9 gene families to have transferred from cellular domains other 
 than eukaryotes or bacteria (archaea\, and viruses\, including phages). 52
  OGs were detected as cases of sympatric transfers (gene transfer by assoc
 iation of MVs with more than one cellular domain). Interestingly\, 129 gen
 e families were identified to be involved in gene transfers from MVs to ot
 her cellular domains. We applied a similar procedure to the 7\,898 non-ort
 hologous proteins to detect transfer events and putative donors and identi
 fied 259 instances of HGT from non-orthologous proteins\, of which 135 cas
 es were from eukaryotes\, 82 cases from bacteria\, 11 cases from Phages an
 d other viruses\, 31 cases where MVs are transferring protein to other cel
 lular domains. Instances of HGT were found to be depicting donor specifici
 ty\, as viruses of vertebrates/invertebrates (Poxviridae\, Ascoviridae and
  Iridoviridae) acquired genes from donors like Euteleostomii\, Eutheria\, 
 Baculoviridae and proteobacteria\; algal viruses (Phycodnaviridae) and pro
 tozoan viruses (pandoravirus\, Mimiviridae\, pithovirus\, and Marseillevir
 idae) were found to be acquiring genes majorly from cellular donors like D
 ictyostellium\, Mammeillales\, Firmicutes\, Clostridiales\, Klebsormidium\
 , Rozella allomycis\, Ooomycetes and Phytophthora.\nIn conclusion\, clear 
 distinction can be seen in the genome mosaicism of distantly related Megav
 irale families\, where they evolved via genome specificity and family spec
 ific gene acquisitions from their respective ecological niche. Evolution o
 f Megavirale families can be evidently based on phylogenetic analysis of f
 ew core genes as well as similarities of their gene contents\, but\, knowi
 ng that the horizontal gene transfer play a major role on the gene content
 s of Megavirales\, it could be unforeseen to decipher the evolution of all
  Megavirale families by this approach.\n\nKeywords : Megavirales\; Horizon
 tal gene transfer\; MimiLook\; Comparative genomics\; phylogeny.\n\n*Jury 
 Members:\n- Dr. Pierre Pontarotti (EBM\, AMU\, Marseille)\, directeur de t
 hèse\n- Prof. Didier Raoult (IHU\, Marseille)\, co-directeur de thèse\n-
  Prof. Patrick Forterre (Institute Pasteur\, Paris)\n- Prof. Jean Louis Me
 ge (Faculty of Medicine\, AMU\, Marseille)\n- Dr. Franck Panabieres (INRA\
 , Nice)\n\nLien : theses.fr
CATEGORIES:Soutenance de thèse
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