GapMind for catabolism of small carbon sources


D-glucuronate catabolism in Pseudomonas fluorescens GW456-L13

Best path

exuT, uxaC, uxuB, uxuA, kdgK, eda

Also see fitness data for the top candidates


Overview: Glucuronate utilization in GapMind is based on MetaCyc pathways D-glucuronate degradation II (oxidation of 5-keto-4-deoxyglucarate, link), a related pathway via 5-keto-4-deoxyglucarate aldolase (link), or degradation via fructuronate (link). GapMind also includes a variation on the oxidative pathway with a glucarolactonase, as in Pseudomonas putida. MetaCyc pathway I (via L-gulonate and xylitol, link) is not reported in prokaryotes and is not described here.

18 steps (13 with candidates)

Or see definitions of steps

Step Description Best candidate 2nd candidate
exuT D-glucuronate:H+ symporter ExuT
uxaC D-glucuronate isomerase
uxuB D-mannonate dehydrogenase PfGW456L13_3038
uxuA D-mannonate dehydratase PfGW456L13_3477 PfGW456L13_2128
kdgK 2-keto-3-deoxygluconate kinase PfGW456L13_2869 PfGW456L13_2950
eda 2-keto-3-deoxygluconate 6-phosphate aldolase PfGW456L13_1903 PfGW456L13_2127
Alternative steps:
dctM D-glucuronate TRAP transporter, large permease component
dctP D-glucuronate TRAP transporter, solute receptor component
dctQ D-glucuronate TRAP transporter, small permease component
dopDH 2,5-dioxopentanonate dehydrogenase PfGW456L13_5044 PfGW456L13_3316
garK glycerate 2-kinase PfGW456L13_4298 PfGW456L13_2941
garL 5-dehydro-4-deoxy-D-glucarate aldolase PfGW456L13_3931 PfGW456L13_4507
garR tartronate semialdehyde reductase PfGW456L13_4297 PfGW456L13_4603
gci D-glucaro-1,4-lactone cycloisomerase PfGW456L13_2128 PfGW456L13_3930
gudD D-glucarate dehydratase PfGW456L13_2480 PfGW456L13_3824
kdgD 5-dehydro-4-deoxyglucarate dehydratase PfGW456L13_5045 PfGW456L13_4507
udh D-glucuronate dehydrogenase PfGW456L13_1301
uxuL D-glucaro-1,5-lactonase UxuL or UxuF PfGW456L13_2118

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 17 2021. The underlying query database was built on Sep 17 2021.



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