GapMind for catabolism of small carbon sources

 

glycerol catabolism in Mucilaginibacter gossypiicola Gh-48

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 (14 with candidates)

Or see definitions of steps

Step Description Best candidate 2nd candidate
glpF glycerol facilitator glpF BMX50_RS15860 BMX50_RS17820
glpK glycerol kinase BMX50_RS15865
glpD glycerol 3-phosphate dehydrogenase (monomeric) BMX50_RS15870
tpi triose-phosphate isomerase BMX50_RS10445 BMX50_RS21175
Alternative steps:
aqp-3 glycerol porter aqp-3 BMX50_RS32090
dhaD glycerol dehydrogenase BMX50_RS13395 BMX50_RS33975
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 BMX50_RS15870
glpB glycerol 3-phosphate dehydrogenase subunit B
glpC glycerol 3-phosphate dehydrogenase subunit C
glpF' glycerol facilitator-aquaporin BMX50_RS15860
glpO glycerol 3-phosphate oxidase BMX50_RS15870
glpP glycerol ABC transporter, permease component 1 (GlpP)
glpQ glycerol ABC transporter, permease component 2 (GlpQ)
glpS glycerol ABC transporter, ATPase component 1 (GlpS) BMX50_RS25815 BMX50_RS28505
glpT glycerol ABC transporter, ATPase component 2 (GlpT) BMX50_RS25815 BMX50_RS00020
glpV glycerol ABC transporter, substrate-binding component GlpV
PLT5 glycerol:H+ symporter PLT5 BMX50_RS17610 BMX50_RS30470
stl1 glycerol:H+ symporter Stl1p BMX50_RS17610 BMX50_RS30470
TIPa glycerol facilitator TIPa BMX50_RS17820 BMX50_RS32090
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.

Links

Downloads

Related tools

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