L-rhamnose catabolism in Martelella endophytica YC6887

GapMind for catabolism of small carbon sources

L-rhamnose catabolism in Martelella endophytica YC6887

Best path

rhaP, rhaQ, rhaS, rhaT', rhaM, rhaA, rhaB, rhaD, tpi, aldA

Rules

Overview: Rhamnose utilization in GapMind is based on MetaCyc pathway I via L-rhamnulose 1-phosphate aldolase (link), pathway II via 2-keto-3-deoxy-L-rhamnonate aldolase (link), and pathway III via 2,4-diketo-3-deoxyrhamnonate hydrolase (link).

all:

rhamnose-transport, rhaM, rhaA, rhaB, rhaD, tpi and lactaldehyde-conversion
or rhamnose-transport, LRA1, LRA2, LRA3, LRA4 and lactaldehyde-conversion
or rhamnose-transport, LRA1, LRA2, LRA3, LRA5 and LRA6
Comment: In pathway I, the mutarotase rhaM forms beta-rhamnopyranose, isomerase rhaA forms rhamnulofuranose, kinase rhaB forms rhamnulose 1-phosphate, aldolase rhaD forms (S)-lactaldehyde and glycerone phosphate, and tpi converts glycerone phosphate to glyceraldehyde 3-phosphate. In pathway II, the 1-dehydrogenase LRA1 forms L-rhamnono-1,4-lactone, the lactonase LRA2 forms L-rhamnonate, the dehydratase LRA3 forms 2-dehydro-3-deoxy-L-rhamnonate, and the aldolase LRA4 forms pyruvate and lactaldehyde. In pathway III, rhamnose is also oxidized and dehydrated to 2-dehydro-3-deoxy-L-rhamnonate, but then, dehydrogenase LRA5 forms 2,4-didehydro-3-deoxy-L-rhamnonate and hydrolase LRA6 forms L-lactate and pyruvate.

lactaldehyde-conversion:

aldA
or fucO
Comment: Lactaldehyde might be oxidized to lactate and secreted (or oxidized to pyruvate); or, it might be reduced to propane-1,2-diol and secreted.

rhamnose-transport:

rhaT
or rhaP, rhaQ, rhaS and rhaT'
or Echvi_1617
or BPHYT_RS34250, BPHYT_RS34245 and BPHYT_RS34240
Comment: Transporters were identified usiung: query: transporter:L-rhamnose:rhamnose:L-rhamnofuranose:L-rhamnopyranose:CPD-16564:CPD-16565:CPD0-1112:CPD-15405

22 steps (18 with candidates)

Or see definitions of steps

Step	Description	Best candidate	2nd candidate
rhaP	L-rhamnose ABC transporter, permease component 1 (RhaP)	TM49_RS07030	TM49_RS09750
rhaQ	L-rhamnose ABC transporter, permease component 2 (RhaQ)	TM49_RS07035	TM49_RS09750
rhaS	L-rhamnose ABC transporter, substrate-binding component RhaS	TM49_RS07020
rhaT'	L-rhamnose ABC transporter, ATPase component RhaT	TM49_RS07025	TM49_RS11315
rhaM	L-rhamnose mutarotase	TM49_RS07000	TM49_RS02500
rhaA	L-rhamnose isomerase	TM49_RS07005
rhaB	L-rhamnulokinase	TM49_RS07040
rhaD	rhamnulose 1-phosphate aldolase	TM49_RS07010
tpi	triose-phosphate isomerase	TM49_RS14170	TM49_RS12835
aldA	lactaldehyde dehydrogenase	TM49_RS07010	TM49_RS22260
Alternative steps:
BPHYT_RS34240	L-rhamnose ABC transporter, permease component	TM49_RS07030	TM49_RS09750
BPHYT_RS34245	L-rhamnose ABC transporter, ATPase component	TM49_RS05125	TM49_RS07025
BPHYT_RS34250	L-rhamnose ABC transporter, substrate-binding component
Echvi_1617	L-rhamnose transporter
fucO	L-lactaldehyde reductase	TM49_RS03320	TM49_RS20575
LRA1	L-rhamnofuranose dehydrogenase	TM49_RS04540	TM49_RS18960
LRA2	L-rhamnono-gamma-lactonase
LRA3	L-rhamnonate dehydratase	TM49_RS08990	TM49_RS00735
LRA4	2-keto-3-deoxy-L-rhamnonate aldolase	TM49_RS03505	TM49_RS12530
LRA5	2-keto-3-deoxy-L-rhamnonate 4-dehydrogenase	TM49_RS14630	TM49_RS20405
LRA6	2,4-diketo-3-deoxyrhamnonate hydrolase	TM49_RS02450
rhaT	L-rhamnose:H+ symporter RhaT

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 Sep 24 2021. 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 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