GapMind for catabolism of small carbon sources

 

citrate catabolism in Cronobacter universalis NCTC 9529

Best path

tctA, tctB, tctC, citD, citE, citF

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 (14 with candidates)

Or see definitions of steps

Step Description Best candidate 2nd candidate
tctA citrate/Na+ symporter, large transmembrane component TctA AFK65_RS13555
tctB citrate/Na+ symporter, small transmembrane component TctB AFK65_RS13550
tctC citrate/Na+ symporter, substrate-binding component TctC AFK65_RS13545
citD citrate lyase, acyl carrier component CitD AFK65_RS16580
citE citrate lyase, citryl-ACP lyase component CitE AFK65_RS16575
citF citrate lyase, citrate-ACP transferase component CitF AFK65_RS16570
Alternative steps:
acn aconitase AFK65_RS03735 AFK65_RS11020
cimH citrate:H+ symporter CimH AFK65_RS16595
cit1 citrate:H+ symporter Cit1
citA citrate:H+ symporter CitA AFK65_RS19995 AFK65_RS14900
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) AFK65_RS16595
fecB ferric citrate ABC transporter, substrate-binding component FecB
fecC ferric citrate ABC transporter, permease component 1 (FecC) AFK65_RS14335 AFK65_RS08440
fecD ferric citrate ABC transporter, permease component 2 (FecD) AFK65_RS08440 AFK65_RS20295
fecE ferric citrate ABC transporter, ATPase component FecE AFK65_RS14345 AFK65_RS03860
icd isocitrate dehydrogenase AFK65_RS07930 AFK65_RS03515
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 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