GapMind for catabolism of small carbon sources

 

Finding step hisP for L-histidine catabolism in Dyella japonica UNC79MFTsu3.2

4 candidates for hisP: L-histidine ABC transporter, ATPase component HisP

Score Gene Description Similar to Id. Cov. Bits Other hit Other id. Other bits
med N515DRAFT_1085 D-methionine transport system ATP-binding protein histidine transport ATP-binding protein hisP (characterized) 41% 98% 176.8 Methionine import ATP-binding protein MetN 2, component of L-Histidine uptake porter, MetIQN 71% 458.8
lo N515DRAFT_1562 sulfate transport system ATP-binding protein Probable ATP-binding component of ABC transporter, component of Amino acid transporter, PA5152-PA5155. Probably transports numerous amino acids including lysine, arginine, histidine, D-alanine and D-valine (Johnson et al. 2008). Regulated by ArgR (characterized) 37% 93% 154.1 CysA aka B2422, component of Sulfate/thiosulfate porter 55% 297.4
lo N515DRAFT_2043 putative ABC transport system ATP-binding protein histidine transport ATP-binding protein hisP (characterized) 39% 89% 136 lipoprotein releasing system, ATP-binding protein; EC 3.6.3.- 44% 200.7
lo N515DRAFT_2216 cell division transport system ATP-binding protein Histidine transport ATP-binding protein HisP (characterized) 34% 90% 135.6 cell division ATP-binding protein ftsE 56% 240.0

Confidence: high confidence medium confidence low confidence
transporter – transporters and PTS systems are shaded because predicting their specificity is particularly challenging.

GapMind searches the predicted proteins for candidates by using ublast (a fast alternative to protein BLAST) to find similarities to characterized proteins or by using HMMer to find similarities to enzyme models (usually from TIGRFams). For alignments to characterized proteins (from ublast), scores of 44 bits correspond to an expectation value (E) of about 0.001.

Also see fitness data for the candidates

Definition of step hisP

Or cluster all characterized hisP proteins

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