GapMind for catabolism of small carbon sources

 

glycerol catabolism in Mycolicibacterium vanbaalenii PYR-1

Best path

glpF, glpK, glpD, tpi

Rules

Overview: Glycerol utilization in GapMind is based on MetaCyc pathways glycerol degradation I via glycerol kinase (link), II via dihydroxyacetone kinase (link), or V via dihydroxyacetone:PEP phosphotransferase (link). Two fermentative pathways are not included because they do not lead to carbon incorporation (link, link).

25 steps (11 with candidates)

Or see definitions of steps

Step Description Best candidate 2nd candidate
glpF glycerol facilitator glpF MVAN_RS11035
glpK glycerol kinase MVAN_RS27485 MVAN_RS19690
glpD glycerol 3-phosphate dehydrogenase (monomeric) MVAN_RS08160 MVAN_RS18820
tpi triose-phosphate isomerase MVAN_RS13585 MVAN_RS13580
Alternative steps:
aqp-3 glycerol porter aqp-3
dhaD glycerol dehydrogenase MVAN_RS27530 MVAN_RS02255
dhaK dihydroxyacetone:PEP phosphotransferase, subunit K
dhaK' dihydroxyacetone kinase, ATP dependent (monomeric)
dhaL dihydroxyacetone:PEP phosphotransferase, subunit L
dhaM dihydroxyacetone:PEP phosphotransferase, subunit M
fps1 glycerol uptake/efflux facilitator protein
glpA glycerol 3-phosphate dehydrogenase subunit A MVAN_RS08160 MVAN_RS18820
glpB glycerol 3-phosphate dehydrogenase subunit B
glpC glycerol 3-phosphate dehydrogenase subunit C
glpF' glycerol facilitator-aquaporin
glpO glycerol 3-phosphate oxidase MVAN_RS08160 MVAN_RS18820
glpP glycerol ABC transporter, permease component 1 (GlpP) MVAN_RS13175
glpQ glycerol ABC transporter, permease component 2 (GlpQ) MVAN_RS12760
glpS glycerol ABC transporter, ATPase component 1 (GlpS) MVAN_RS13165 MVAN_RS12755
glpT glycerol ABC transporter, ATPase component 2 (GlpT) MVAN_RS22530 MVAN_RS12755
glpV glycerol ABC transporter, substrate-binding component GlpV
PLT5 glycerol:H+ symporter PLT5
stl1 glycerol:H+ symporter Stl1p
TIPa glycerol facilitator TIPa
YFL054C glycrol facilitator protein

Confidence: high confidence medium confidence low confidence
transporter – transporters and PTS systems are shaded because predicting their specificity is particularly challenging.

This GapMind analysis is from Sep 24 2021. The underlying query database was built on Sep 17 2021.

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About GapMind

Each pathway is defined by a set of rules based on individual steps or genes. Candidates for each step are identified by using ublast (a fast alternative to protein BLAST) against a database of manually-curated proteins (most of which are experimentally characterized) or by using HMMer with enzyme models (usually from TIGRFam). Ublast hits may be split across two different proteins.

A candidate for a step is "high confidence" if either:

where "other" refers to the best ublast hit to a sequence that is not annotated as performing this step (and is not "ignored").

Otherwise, a candidate is "medium confidence" if either:

Other blast hits with at least 50% coverage are "low confidence."

Steps with no high- or medium-confidence candidates may be considered "gaps." For the typical bacterium that can make all 20 amino acids, there are 1-2 gaps in amino acid biosynthesis pathways. For diverse bacteria and archaea that can utilize a carbon source, there is a complete high-confidence catabolic pathway (including a transporter) just 38% of the time, and there is a complete medium-confidence pathway 63% of the time. Gaps may be due to:

GapMind relies on the predicted proteins in the genome and does not search the six-frame translation. In most cases, you can search the six-frame translation by clicking on links to Curated BLAST for each step definition (in the per-step page).

For more information, see:

If you notice any errors or omissions in the step descriptions, or any questionable results, please let us know

by Morgan Price, Arkin group, Lawrence Berkeley National Laboratory