catabolism of small carbon sources in Pseudomonas litoralis 2SM5

GapMind for catabolism of small carbon sources

catabolism of small carbon sources in Pseudomonas litoralis 2SM5

Pathways are sorted by completeness. Sort by name instead.

Pathway	Steps
valine	livF, livG, livJ, livH, livM, ofo, acdH, ech, bch, mmsB, mmsA, prpC, acnD, prpF, acn, prpB
isoleucine	livF, livG, livJ, livH, livM, ofo, acdH, ech, ivdG, fadA, prpC, acnD, prpF, acn, prpB
leucine	livF, livG, livJ, livH, livM, ilvE, ofo, liuA, liuB, liuD, liuC, liuE, atoA, atoD, atoB
alanine	braC, braD, braE, braF, braG
ethanol	etoh-dh-nad, adh, ackA, pta
L-lactate	Shew_2731, Shew_2732, L-LDH
proline	putP, put1, putA
2-oxoglutarate	Psest_0084, Psest_0085
aspartate	dauA
fumarate	sdcL
L-malate	sdlC
succinate	sdc
threonine	braC, braD, braE, braF, braG, ltaE, adh, ackA, pta, gcvP, gcvT, gcvH, lpd
arginine	artJ, artM, artP, artQ, adiA, aguA, aguB, patA, patD, gabT, gabD
propionate	putP, prpE, prpC, acnD, prpF, acn, prpB
serine	braC, braD, braE, braF, braG, sdaB
putrescine	potA, potB, potC, potD, patA, patD, gabT, gabD
citrulline	AO353_03055, AO353_03050, AO353_03045, AO353_03040, citrullinase, odc, patA, patD, gabT, gabD
glutamate	gltP, gdhA
D-serine	dsdX, dsdA
D-alanine	AZOBR_RS08235, AZOBR_RS08240, AZOBR_RS08245, AZOBR_RS08250, AZOBR_RS08260, dadA
pyruvate	yjcH, actP
lysine	argT, hisM, hisQ, hisP, cadA, patA, patD, davT, davD, gcdG, gcdH, ech, fadB, atoB
gluconate	gntT, gntK, edd, eda
glycerol	glpF, glpK, glpD, tpi
phenylalanine	livF, livG, livH, livM, livJ, PAH, PCBD, QDPR, HPD, hmgA, maiA, fahA, atoA, atoD, atoB
acetate	actP, ackA, pta
citrate	SLC13A5, acn, icd
asparagine	ans, dauA
glucosamine	gamP, nagB
deoxyribonate	deoxyribonate-transport, deoxyribonate-dehyd, ketodeoxyribonate-cleavage, garK, atoA, atoD, atoB
fructose	fruII-ABC, 1pfk, fba, tpi
glucose	ptsG-crr
glucose-6-P	uhpT
D-lactate	lctP, D-LDH
mannose	manP, manA
tryptophan	aroP, kynA, kynB, kyn, antA, antB, antC, catA, catB, catC, pcaD, catI, catJ, pcaF
deoxyribose	deoP, deoK, deoC, adh, ackA, pta
NAG	nagEcba, nagA, nagB
thymidine	nupG, deoA, deoB, deoC, adh, ackA, pta
histidine	hisP, hisM, hisQ, hisJ, hutH, hutU, hutI, hutG
galactose	galP, galK, galT, galE, pgmA
sucrose	sut, SUS, scrK, galU, pgmA
cellobiose	bgl, ptsG-crr
maltose	susB, ptsG-crr
mannitol	mtlA, mtlD
ribose	rbsU, rbsK
sorbitol	mtlA, srlD
trehalose	treF, ptsG-crr
xylitol	fruI, x5p-reductase
deoxyinosine	nupC, deoD, deoB, deoC, adh, ackA, pta
xylose	xylT, xylA, xylB
tyrosine	aroP, HPD, hmgA, maiA, fahA, atoA, atoD, atoB
glucuronate	exuT, udh, gci, kdgD, dopDH
lactose	lacP, lacZ, galK, galT, galE, pgmA, glk
arabinose	araE, araA, araB, araD
4-hydroxybenzoate	pcaK, pobA, praA, xylF, mhpD, mhpE, adh, ackA, pta
galacturonate	exuT, uxaC, uxaB, uxaA, kdgK, eda
fucose	fucP, fucU, fucI, fucK, fucA, tpi, aldA
rhamnose	rhaT, rhaM, rhaA, rhaB, rhaD, tpi, aldA
myoinositol	iolT, iolG, iolE, iolD, iolB, iolC, iolJ, mmsA, tpi
phenylacetate	paaT, paaK, paaA, paaB, paaC, paaE, paaG, paaZ1, paaZ2, paaJ1, paaF, paaH, paaJ2

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.

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

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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:

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