GapMind for catabolism of small carbon sources

 

propionate catabolism in Shewanella amazonensis SB2B

Best path

lctP, prpE, prpC, acnD, prpF, acn, prpB

Also see fitness data for the top candidates

Rules

Overview: Propionate degradation in GapMind is based on MetaCyc pathways for the 2-methylcitrate cycle (link, link) and for propanoyl-CoA degradation (link, link).

24 steps (15 with candidates)

Or see definitions of steps

Step Description Best candidate 2nd candidate
lctP propionate permease Sama_2439
prpE propionyl-CoA synthetase Sama_2079 Sama_1364
prpC 2-methylcitrate synthase Sama_3295 Sama_1422
acnD 2-methylcitrate dehydratase (2-methyl-trans-aconitate forming) Sama_3296
prpF methylaconitate isomerase Sama_3297
acn (2R,3S)-2-methylcitrate dehydratase Sama_3296 Sama_0382
prpB 2-methylisocitrate lyase Sama_2380 Sama_3294
Alternative steps:
dddA 3-hydroxypropionate dehydrogenase
epi methylmalonyl-CoA epimerase
hpcD 3-hydroxypropionyl-CoA dehydratase Sama_1378 Sama_2167
iolA malonate semialdehyde dehydrogenase (CoA-acylating) Sama_2650 Sama_1376
mcm-large methylmalonyl-CoA mutase, large (catalytic) subunit
mcm-small methylmalonyl-CoA mutase, small (adenosylcobamide-binding) subunit
mcmA methylmalonyl-CoA mutase, fused catalytic and adenosylcobamide-binding components
mctC propionate:H+ symporter Sama_1523
mctP propionate permease
pccA propionyl-CoA carboxylase, alpha subunit Sama_1359 Sama_3196
pccA1 propionyl-CoA carboxylase, biotin carboxyl carrier subunit Sama_1359 Sama_3196
pccA2 propionyl-CoA carboxylase, biotin carboxylase subunit
pccB propionyl-CoA carboxylase, beta subunit Sama_1361
pco propanyl-CoA oxidase Sama_2796
prpD 2-methylcitrate dehydratase
putP propionate transporter; proline:Na+ symporter Sama_2177 Sama_0492
SLC5A8 sodium-coupled monocarboxylate transporter

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.

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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 the paper from 2019 on GapMind for amino acid biosynthesis, the preprint on GapMind for carbon sources, or view the source code.

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