GapMind for catabolism of small carbon sources

 

Finding step mglC for D-cellobiose catabolism in Escherichia coli BW25113

5 candidates for mglC: glucose ABC transporter, permease component (MglC)

Score Gene Description Similar to Id. Cov. Bits Other hit Other id. Other bits
hi b2148 beta-methylgalactoside transporter inner membrane component (NCBI) MglC aka B2148, component of Galactose/glucose (methyl galactoside) porter (characterized) 100% 100% 646.4 ABC-type transporter, integral membrane subunit, component of D-ribose porter (Nanavati et al., 2006). Induced by ribose 40% 207.2
med b3750 ribose ABC transporter permease protein (NCBI) Putative beta-xyloside ABC transporter, permease component, component of Glucose porter. Also bind xylose (Boucher and Noll 2011). Induced by glucose (Frock et al. 2012). Directly regulated by glucose-responsive regulator GluR (characterized) 42% 98% 232.3 Ribose import permease protein RbsC 100% 608.6
lo b3568 D-xylose transporter subunit (NCBI) GguB aka ATU2346 aka AGR_C_4262, component of Multiple sugar (arabinose, xylose, galactose, glucose, fucose) putative porter (characterized) 38% 100% 272.7 D-xylose ABC transporter, permease protein 100% 759.2
lo b4086 D-allose transporter subunit (NCBI) Putative beta-xyloside ABC transporter, permease component, component of Glucose porter. Also bind xylose (Boucher and Noll 2011). Induced by glucose (Frock et al. 2012). Directly regulated by glucose-responsive regulator GluR (characterized) 36% 97% 192.2 D-allose transport system permease protein AlsC 100% 629.8
lo b2546 predicted sugar transporter subunit: membrane component of ABC superfamily (NCBI) glucose transporter, permease component (characterized) 30% 67% 134.4 Ribose import permease protein RbsC 39% 223.4

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 mglC

Or cluster all characterized mglC proteins

This GapMind analysis is from Apr 09 2024. The underlying query database was built on Sep 17 2021.

Links

Downloads

Related tools

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