GapMind for catabolism of small carbon sources

 

Finding step aglG for D-maltose catabolism in Dinoroseobacter shibae DFL-12

4 candidates for aglG: maltose ABC transporter, permease component 2 (AglG)

Score Gene Description Similar to Id. Cov. Bits Other hit Other id. Other bits
hi Dshi_1650 binding-protein-dependent transport systems inner membrane component (RefSeq) Inner membrane ABC transporter permease protein (characterized, see rationale) 100% 100% 761.9 Membrane bound sugar transport protein, component of The glucosylglycerol uptake transporter (functions in osmoprotection and also transports sucrose and trehalose (Mikkat and Hagemann, 2000) (most similar to 3.A.1.1.8) 52% 271.9
lo Dshi_0549 binding-protein-dependent transport systems inner membrane component (RefSeq) Inner membrane ABC transporter permease protein (characterized, see rationale) 31% 62% 115.5 ABC transporter for Xylitol, permease component 2 100% 530.0
lo Dshi_3131 binding-protein-dependent transport systems inner membrane component (RefSeq) ABC transporter for D-Maltose and D-Trehalose, permease component 2 (characterized) 31% 61% 110.2 GlpQ, component of Glycerol uptake porter, GlpSTPQV 75% 410.2
lo Dshi_1415 binding-protein-dependent transport systems inner membrane component (RefSeq) Inner membrane ABC transporter permease protein (characterized, see rationale) 32% 62% 96.3 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 35% 161.4

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

Also see fitness data for the candidates

Definition of step aglG

Or cluster all characterized aglG 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 against a database of manually-curated proteins (most of which are experimentally characterized) or by using HMMer. 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. 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 preprint 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