GapMind for catabolism of small carbon sources

 

citrate catabolism in Phaeobacter inhibens BS107

Best path

tctA, tctB, tctC, acn, icd

Also see fitness data for the top candidates

Rules

Overview: Citrate is utilized via ATP-citrate lyase (link) or by oxidation to 2-oxoglutarate (part of the the TCA cycle, link). MetaCyc does not explicitly represent the TCA cycle as a means for catabolizing citrate, but it is expected to function under respiratory conditions. Fitness data confirms that in diverse bacteria, ATP-citrate lyase is not necessary for aerobic utilization of citrate.

20 steps (9 with candidates)

Or see definitions of steps

Step Description Best candidate 2nd candidate
tctA citrate/Na+ symporter, large transmembrane component TctA PGA1_c07960 PGA1_c32260
tctB citrate/Na+ symporter, small transmembrane component TctB PGA1_c07950
tctC citrate/Na+ symporter, substrate-binding component TctC PGA1_c07940
acn aconitase PGA1_c18830
icd isocitrate dehydrogenase PGA1_c28340 PGA1_c17990
Alternative steps:
cimH citrate:H+ symporter CimH
cit1 citrate:H+ symporter Cit1
citA citrate:H+ symporter CitA
citD citrate lyase, acyl carrier component CitD
citE citrate lyase, citryl-ACP lyase component CitE PGA1_c03680 PGA1_c30490
citF citrate lyase, citrate-ACP transferase component CitF
citM citrate:cation:H+ symporter CitM
citS citrate:Na+ symporter CitS
citT citrate:succinate antiporter CitT
citW citrate exchange transporter CitW (with lactate or acetate)
fecB ferric citrate ABC transporter, substrate-binding component FecB
fecC ferric citrate ABC transporter, permease component 1 (FecC) PGA1_c25900 PGA1_c26880
fecD ferric citrate ABC transporter, permease component 2 (FecD) PGA1_c26880 PGA1_c25900
fecE ferric citrate ABC transporter, ATPase component FecE PGA1_c25920 PGA1_78p00360
SLC13A5 citrate:Na+ symporter

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:

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