D-mannose catabolism in Rhizobium leguminosarum bv. trifolii WSM1325

GapMind for catabolism of small carbon sources

D-mannose catabolism in Rhizobium leguminosarum bv. trifolii WSM1325

Best path

Rules

Overview: Mannose utilization in GapMind is based on MetaCyc pathways D-mannose degradation I via a PTS system (link), pathway II via mannose kinase (link), or conversion to fructose by mannose isomerase.

all:

mannose-PTS and manA
or mannose-transport, mannokinase and manA
or mannose-transport, man-isomerase and scrK
Comment: In pathway I, after uptake and phosphorlation by a PTS system, mannose-6-phosphate isomerase (manA) produces fructose-6-phosphate, which is a central metabolic intermediate. In pathway II, after uptake, mannose kinase is followed by isomerization to fructose 6-phosphate. Or, D-mannose isomerase yields fructose, which can be metabolized by fructokinase (scrK).

mannose-transport:

glcS, glcT, glcU and glcV
or TT_C0211, TT_C0327, TT_C0326 and TT_C0328
or TM1746, TM1747, TM1748, TM1749 and TM1750
or frcA, frcB and frcC
or HSERO_RS03635, HSERO_RS03640 and HSERO_RS03645
or STP6
or gluP
or glcP
or MST1
or manMFS
Comment: Transporters and PTS systems were identified using query: transporter:mannose:D-mannose:D-mannopyranose:CPD-13559:CPD-12601

mannose-PTS:

manX, manY and manZ
or manP
Comment: PTS systems form D-mannose 6-phosphate

32 steps (20 with candidates)

Or see definitions of steps

Step	Description	Best candidate	2nd candidate
frcA	mannose ABC transporter, ATPase component FrcA	RLEG_RS00645	RLEG_RS26230
frcB	mannose ABC transporter, substrate-binding component FrcB	RLEG_RS00635	RLEG_RS23620
frcC	mannose ABC transporter, permease component FrcC	RLEG_RS00640	RLEG_RS06905
man-isomerase	D-mannose isomerase	RLEG_RS14375
scrK	fructokinase	RLEG_RS00705	RLEG_RS16760
Alternative steps:
glcP	mannose:H+ symporter
glcS	mannose ABC transporter, substrate-binding component GlcS
glcT	mannose ABC transporter, permease component 1 (GlcT)
glcU	mannose ABC transporter, permease component 2 (GlcU)	RLEG_RS23570	RLEG_RS01970
glcV	mannose ABC transporter, ATPase component GlcV	RLEG_RS14315	RLEG_RS01445
gluP	mannose:Na+ symporter
HSERO_RS03635	mannose ABC transporter, substrate-binding component
HSERO_RS03640	mannose ABC transporter, ATPase component	RLEG_RS18305	RLEG_RS32730
HSERO_RS03645	mannose ABC transporter, permease component	RLEG_RS06905	RLEG_RS03525
manA	mannose-6-phosphate isomerase	RLEG_RS15990
manMFS	mannose transporter, MFS superfamily
mannokinase	D-mannose kinase	RLEG_RS25895	RLEG_RS18545
manP	mannose PTS system, EII-CBA components
manX	mannose PTS system, EII-AB component ManX/ManL
manY	mannose PTS system, EII-C component ManY/ManM
manZ	mannose PTS system, EII-D component ManZ/ManN
MST1	mannose:H+ symporter
STP6	mannose:H+ symporter
TM1746	mannose ABC transporter, substrate-binding component	RLEG_RS15320
TM1747	mannose ABC transporter, permease component 1	RLEG_RS15325	RLEG_RS20315
TM1748	mannose ABC transporter, permease component 2	RLEG_RS15330	RLEG_RS33980
TM1749	mannose ABC transporter, ATPase component 1	RLEG_RS33975	RLEG_RS23270
TM1750	mannose ABC transporter, ATPase component 2	RLEG_RS33970	RLEG_RS23275
TT_C0211	mannose ABC transporter, ATPase component MalK1	RLEG_RS25045	RLEG_RS26440
TT_C0326	mannose ABC transporter, permease component 2	RLEG_RS11530	RLEG_RS34395
TT_C0327	mannose ABC transporter, permease component 1	RLEG_RS18700	RLEG_RS07330
TT_C0328	mannose ABC transporter, substrate-binding component	RLEG_RS18705	RLEG_RS07325

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

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

Downloads

Candidates (tab-delimited)
Steps (tab-delimited)
Rules (tab-delimited)
Protein sequences (fasta format)
Organisms (tab-delimited)
SQLite3 databases

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:

ublast finds a hit to a characterized protein at above 40% identity and 80% coverage, and bits >= other bits+10.
- (Hits to curated proteins without experimental data as to their function are never considered high confidence.)
HMMer finds a hit with 80% coverage of the model, and either other identity < 40 or other coverage < 0.75.

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:

ublast finds a hit at above 40% identity and 70% coverage (ignoring otherBits).
ublast finds a hit at above 30% identity and 80% coverage, and bits >= other bits.
HMMer finds a hit (regardless of coverage or other bits).

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:

our ignorance of proteins' functions,
omissions in the gene models,
frame-shift errors in the genome sequence, or
the organism lacks the pathway.

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 2024 update on GapMind for amino acid biosynthesis
the paper from 2022 on GapMind for carbon sources
the source code
instructions for running GapMind on your computer

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

GapMind for catabolism of small carbon sources