GapMind for catabolism of small carbon sources

 

Protein PP_2263 in Pseudomonas putida KT2440

Annotation: PP_2263 Sugar ABC transporter, permease protein

Length: 266 amino acids

Source: Putida in FitnessBrowser

Candidate for 14 steps in catabolism of small carbon sources

Pathway Step Score Similar to Id. Cov. Bits Other hit Other id. Other bits
glycerol catabolism glpQ hi GlpQ, component of Glycerol uptake porter, GlpSTPQV (characterized) 81% 94% 438.7 ABC transporter for Xylitol, permease component 2 33% 166.4
xylitol catabolism Dshi_0549 lo ABC transporter for Xylitol, permease component 2 (characterized) 33% 99% 166.4 GlpQ, component of Glycerol uptake porter, GlpSTPQV 81% 438.7
D-maltose catabolism thuG lo Maltose transport system permease protein malG aka TT_C1629, component of The trehalose/maltose/sucrose/palatinose porter (TTC1627-9) plus MalK1 (ABC protein, shared with 3.A.1.1.24) (Silva et al. 2005; Chevance et al., 2006). The receptor (TTC1627) binds disaccharide alpha-glycosides, namely trehalose (alpha-1,1), sucrose (alpha-1,2), maltose (alpha-1,4), palatinose (alpha-1,6) and glucose (characterized) 33% 99% 148.7 GlpQ, component of Glycerol uptake porter, GlpSTPQV 81% 438.7
sucrose catabolism thuG lo Maltose transport system permease protein malG aka TT_C1629, component of The trehalose/maltose/sucrose/palatinose porter (TTC1627-9) plus MalK1 (ABC protein, shared with 3.A.1.1.24) (Silva et al. 2005; Chevance et al., 2006). The receptor (TTC1627) binds disaccharide alpha-glycosides, namely trehalose (alpha-1,1), sucrose (alpha-1,2), maltose (alpha-1,4), palatinose (alpha-1,6) and glucose (characterized) 33% 99% 148.7 GlpQ, component of Glycerol uptake porter, GlpSTPQV 81% 438.7
trehalose catabolism thuG lo Maltose transport system permease protein malG aka TT_C1629, component of The trehalose/maltose/sucrose/palatinose porter (TTC1627-9) plus MalK1 (ABC protein, shared with 3.A.1.1.24) (Silva et al. 2005; Chevance et al., 2006). The receptor (TTC1627) binds disaccharide alpha-glycosides, namely trehalose (alpha-1,1), sucrose (alpha-1,2), maltose (alpha-1,4), palatinose (alpha-1,6) and glucose (characterized) 33% 99% 148.7 GlpQ, component of Glycerol uptake porter, GlpSTPQV 81% 438.7
D-maltose catabolism aglG lo ABC transporter for D-Maltose and D-Trehalose, permease component 2 (characterized) 32% 61% 126.3 GlpQ, component of Glycerol uptake porter, GlpSTPQV 81% 438.7
sucrose catabolism aglG lo ABC transporter for D-Maltose and D-Trehalose, permease component 2 (characterized) 32% 61% 126.3 GlpQ, component of Glycerol uptake porter, GlpSTPQV 81% 438.7
trehalose catabolism aglG lo ABC transporter for D-Maltose and D-Trehalose, permease component 2 (characterized) 32% 61% 126.3 GlpQ, component of Glycerol uptake porter, GlpSTPQV 81% 438.7
D-cellobiose catabolism aglG' lo Inner membrane ABC transporter permease protein (characterized, see rationale) 31% 60% 112.5 GlpQ, component of Glycerol uptake porter, GlpSTPQV 81% 438.7
D-glucose catabolism aglG' lo Inner membrane ABC transporter permease protein (characterized, see rationale) 31% 60% 112.5 GlpQ, component of Glycerol uptake porter, GlpSTPQV 81% 438.7
lactose catabolism aglG' lo Inner membrane ABC transporter permease protein (characterized, see rationale) 31% 60% 112.5 GlpQ, component of Glycerol uptake porter, GlpSTPQV 81% 438.7
D-maltose catabolism aglG' lo Inner membrane ABC transporter permease protein (characterized, see rationale) 31% 60% 112.5 GlpQ, component of Glycerol uptake porter, GlpSTPQV 81% 438.7
sucrose catabolism aglG' lo Inner membrane ABC transporter permease protein (characterized, see rationale) 31% 60% 112.5 GlpQ, component of Glycerol uptake porter, GlpSTPQV 81% 438.7
trehalose catabolism aglG' lo Inner membrane ABC transporter permease protein (characterized, see rationale) 31% 60% 112.5 GlpQ, component of Glycerol uptake porter, GlpSTPQV 81% 438.7

Sequence Analysis Tools

View PP_2263 at FitnessBrowser

PaperBLAST (search for papers about homologs of this protein)

Search CDD (the Conserved Domains Database, which includes COG and superfam)

Predict protein localization: PSORTb (Gram negative bacteria)

Predict transmembrane helices and signal peptides: Phobius

Check the SEED with FIGfam search

Fitness BLAST: loading...

Sequence

MSTRKSMALLLYFFFLLVPIYWLLNMSFKSNAEILGGLTLWPQAFTLDNYRVIFTDASWY
SGYINSLYYVCLNTLISLLVALPAAYAFSRYRFLGDRHLFFWLLTNRMAPPAVFLLPFFQ
LYSSIGLFDTHIAVALAHCLFNVPLAVWILEGFMSGVPREIDETAYIDGYSFPRFFVKIF
IPLIGSGIGVTAFFCFMFSWVELLLARTLTSVNAKPIAAVMTRTVSASGIDWGVLAAAGV
LTILPGMLVIWFVRNHVAKGFALGRV

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 paper from 2022 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