GapMind for catabolism of small carbon sources

 

Finding step thuG for D-maltose catabolism in Phaeobacter inhibens BS107

4 candidates for thuG: maltose ABC transporter, permease component 2 (ThuG)

Score Gene Description Similar to Id. Cov. Bits Other hit Other id. Other bits
med PGA1_c27350 ABC transporter, permease protein ABC transporter for D-Trehalose, permease component 2 (characterized) 35% 93% 147.5 Putative sugar transporter integral membrane protein, component of The N,N'-diacetylchitobiose uptake transporter, DasABC/MsiK (MsiK energizes several ABC transporters (see 3.A.1.1.23)) 33% 128.6
lo PGA1_c16690 binding protein-dependent transport system, inner membrane component Putative maltose permease, component of MalEFG (K unknown), involved in maltose and maltodextrin uptake (characterized) 36% 92% 186.4 ABC-type transporter, integral membrane subunit, component of Trehalose porter. Also binds sucrose (Boucher and Noll, 2011). Induced by glucose and trehalose. Directly regulated by trehalose-responsive regulator TreR 38% 204.9
lo PGA1_c13190 ABC transporter permease protein 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) 36% 91% 166 ABC transporter for D-Sorbitol, permease component 1 100% 542.7
lo PGA1_c07880 alpha-glucoside transport system permease protein AglG Putative maltose permease, component of MalEFG (K unknown), involved in maltose and maltodextrin uptake (characterized) 31% 74% 114.4 ABC transporter for D-Maltose and D-Trehalose, permease component 2 60% 452.2

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 thuG

Or cluster all characterized thuG 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 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