A combined computational-experimental analyses of selected metabolic enzymes in Pseudomonas species.
Comparative genomic analysis has revolutionized our ability to predict the metabolic subsystems that occur in newly sequenced genomes, and to explore the functional roles of the set of genes within each subsystem. These computational predictions can considerably reduce the volume of experimental studies required to assess basic metabolic properties of multiple bacterial species. However, experimental validations are still required to resolve the apparent inconsistencies in the predictions by multiple resources. Here, we present combined computational-experimental analyses on eight completely sequenced Pseudomonas species. Comparative pathway analyses reveal that several pathways within the Pseudomonas species show high plasticity and versatility. Potential bypasses in 11 metabolic pathways were identified. We further confirmed the presence of the enzyme O-acetyl homoserine (thiol) lyase (EC: 2.5.1.49) in P. syringae pv. tomato that revealed inconsistent annotations in KEGG and in the recently published SYSTOMONAS database. These analyses connect and integrate systematic data generation, computational data interpretation, and experimental validation and represent a synergistic and powerful means for conducting biological research.
Perumal
Deepak
D
Advanced Design and Modeling Lab, Nanyang Technological University, Singapore.
Lim
Chu Sing
CS
Chow
Vincent T K
VT
Sakharkar
Kishore R
KR
Sakharkar
Meena K
MK
D001426:Bacterial Proteins / Q000235:genetics* / Q000378:metabolism; D019295:Computational Biology / Q000379:methods*; D030541:Databases, Genetic; D016680:Genome, Bacterial / Q000235:genetics; D023281:Genomics / Q000379:methods*; D016133:Polymerase Chain Reaction; D011549:Pseudomonas / Q000201:enzymology / Q000235:genetics* / Q000378:metabolism; D017422:Sequence Analysis, DNA; D020539:Sequence Analysis, Protein; D013045:Species Specificity
D001426:Bacterial Proteins