Stone-dwelling actinobacteria Blastococcus saxobsidens, Modestobacter marinus and Geodermatophilus obscurus proteogenomes.
Haïtham SghaierKarima HezbriFaten Ghodhbane-GtariPetar PujicArnab SenDaniele DaffonchioAbdellatif BoudabousLouis S TisaHans-Peter KlenkJean ArmengaudPhilippe NormandMaher GtariPublished in: The ISME journal (2015)
The Geodermatophilaceae are unique model systems to study the ability to thrive on or within stones and their proteogenomes (referring to the whole protein arsenal encoded by the genome) could provide important insight into their adaptation mechanisms. Here we report the detailed comparative genome analysis of Blastococcus saxobsidens (Bs), Modestobacter marinus (Mm) and Geodermatophilus obscurus (Go) isolated respectively from the interior and the surface of calcarenite stones and from desert sandy soils. The genome-scale analysis of Bs, Mm and Go illustrates how adaptation to these niches can be achieved through various strategies including 'molecular tinkering/opportunism' as shown by the high proportion of lost, duplicated or horizontally transferred genes and ORFans. Using high-throughput discovery proteomics, the three proteomes under unstressed conditions were analyzed, highlighting the most abundant biomarkers and the main protein factors. Proteomic data corroborated previously demonstrated stone-related ecological distribution. For instance, these data showed starvation-inducible, biofilm-related and DNA-protection proteins as signatures of the microbes associated with the interior, surface and outside of stones, respectively.
Keyphrases
- genome wide
- high throughput
- electronic health record
- urinary tract
- small molecule
- big data
- dna methylation
- pseudomonas aeruginosa
- protein protein
- single molecule
- human health
- staphylococcus aureus
- amino acid
- risk assessment
- label free
- circulating tumor
- climate change
- binding protein
- data analysis
- drug induced
- editorial comment
- artificial intelligence
- nucleic acid
- circulating tumor cells
- bioinformatics analysis