GapMind for catabolism of small carbon sources

 

2-deoxy-D-ribose catabolism in Burkholderia vietnamiensis G4

Best path

drdehyd-alpha, drdehyd-beta, drdehyd-cytc, deoxyribonate-transport, deoxyribonate-dehyd, ketodeoxyribonate-cleavage, garK, atoA, atoD, atoB

Rules

Overview: Deoxyribose utilization in GapMind is based on MetaCyc pathways 2-deoxy-D-ribose degradation I via deoxyribose 5-phosphate aldolase (link) and pathway II via oxidation to 2-deoxy-3-dehydro-D-ribonate (link).

19 steps (17 with candidates)

Or see definitions of steps

Step Description Best candidate 2nd candidate
drdehyd-alpha 2-deoxy-D-ribose dehydrogenase, alpha subunit WP_011882245.1 WP_011882593.1
drdehyd-beta 2-deoxy-D-ribose dehydrogenase, beta subunit WP_011882594.1 WP_011882246.1
drdehyd-cytc 2-deoxyribose-D dehydrogenase, cytochrome c component WP_011882247.1 WP_011882080.1
deoxyribonate-transport 2-deoxy-D-ribonate transporter WP_011885696.1 WP_011881175.1
deoxyribonate-dehyd 2-deoxy-D-ribonate 3-dehydrogenase WP_011884992.1 WP_011885879.1
ketodeoxyribonate-cleavage 2-deoxy-3-keto-D-ribonate cleavage enzyme WP_011880746.1
garK glycerate 2-kinase WP_011885079.1
atoA acetoacetyl-CoA transferase, A subunit WP_011884535.1 WP_011881086.1
atoD acetoacetyl-CoA transferase, B subunit WP_011884536.1 WP_011881085.1
atoB acetyl-CoA C-acetyltransferase WP_011884947.1 WP_011879792.1
Alternative steps:
aacS acetoacetyl-CoA synthetase WP_011882818.1 WP_011883166.1
ackA acetate kinase WP_011885604.1 WP_011880246.1
acs acetyl-CoA synthetase, AMP-forming WP_011885480.1 WP_011880617.1
adh acetaldehyde dehydrogenase (not acylating) WP_011881627.1 WP_011880891.1
ald-dh-CoA acetaldehyde dehydrogenase, acylating WP_011875732.1 WP_011882650.1
deoC deoxyribose-5-phosphate aldolase
deoK deoxyribokinase WP_011884755.1 WP_011884528.1
deoP deoxyribose transporter
pta phosphate acetyltransferase WP_011880255.1 WP_011882626.1

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 Apr 09 2024. 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