Rickettsia phylogenomics: unwinding the intricacies of obligate intracellular life.
BACKGROUND
Completed genome sequences are rapidly increasing for Rickettsia, obligate intracellular alpha-proteobacteria responsible for various human diseases, including epidemic typhus and Rocky Mountain spotted fever. In light of phylogeny, the establishment of orthologous groups (OGs) of open reading frames (ORFs) will distinguish the core rickettsial genes and other group specific genes (class 1 OGs or C1OGs) from those distributed indiscriminately throughout the rickettsial tree (class 2 OG or C2OGs).


RESULTS
We present 1823 representative (no gene duplications) and 259 non-representative (at least one gene duplication) rickettsial OGs. While the highly reductive (approximately 1.2 MB) Rickettsia genomes range in predicted ORFs from 872 to 1512, a core of 752 OGs was identified, depicting the essential Rickettsia genes. Unsurprisingly, this core lacks many metabolic genes, reflecting the dependence on host resources for growth and survival. Additionally, we bolster our recent reclassification of Rickettsia by identifying OGs that define the AG (ancestral group), TG (typhus group), TRG (transitional group), and SFG (spotted fever group) rickettsiae. OGs for insect-associated species, tick-associated species and species that harbor plasmids were also predicted. Through superimposition of all OGs over robust phylogeny estimation, we discern between C1OGs and C2OGs, the latter depicting genes either decaying from the conserved C1OGs or acquired laterally. Finally, scrutiny of non-representative OGs revealed high levels of split genes versus gene duplications, with both phenomena confounding gene orthology assignment. Interestingly, non-representative OGs, as well as OGs comprised of several gene families typically involved in microbial pathogenicity and/or the acquisition of virulence factors, fall predominantly within C2OG distributions.


CONCLUSIONS
Collectively, we determined the relative conservation and distribution of 14354 predicted ORFs from 10 rickettsial genomes across robust phylogeny estimation. The data, available at PATRIC (PathoSystems Resource Integration Center), provide novel information for unwinding the intricacies associated with Rickettsia pathogenesis, expanding the range of potential diagnostic, vaccine and therapeutic targets.
Gillespie
Joseph J
JJ
Virginia Bioinformatics Institute at Virginia Tech, Blacksburg, VA, USA. pvittata@hotmail.com
Williams
Kelly
K
Shukla
Maulik
M
Snyder
Eric E
EE
Nordberg
Eric K
EK
Ceraul
Shane M
SM
Dharmanolla
Chitti
C
Rainey
Daphne
D
Soneja
Jeetendra
J
Shallom
Joshua M
JM
Vishnubhat
Nataraj Dongre
ND
Wattam
Rebecca
R
Purkayastha
Anjan
A
Czar
Michael
M
Crasta
Oswald
O
Setubal
Joao C
JC
Azad
Abdu F
AF
Sobral
Bruno S
BS
D000818:Animals; D019295:Computational Biology / Q000379:methods; D005798:Genes, Bacterial; D016680:Genome, Bacterial; D023281:Genomics / Q000379:methods*; D016366:Open Reading Frames; D010802:Phylogeny; D010957:Plasmids / Q000378:metabolism; D012281:Rickettsia / Q000378:metabolism* / Q000502:physiology*; D013987:Ticks / Q000235:genetics