catabolism of small carbon sources in Desulfuromusa kysingii DSM 7343

GapMind for catabolism of small carbon sources

catabolism of small carbon sources in Desulfuromusa kysingii DSM 7343

Pathways are sorted by completeness. Sort by name instead.

Pathway	Steps
acetate	ybhL, ackA, pta
fumarate	dctM, dctP, dctQ
L-malate	dctM, dctP, dctQ
2-oxoglutarate	dctP, dctQ, dctM
succinate	dctQ, dctM, dctP
glutamate	dmeA, aspA
threonine	braC, braD, braE, braF, braG, ltaE, adh, ackA, pta, gcvP, gcvT, gcvH, lpd
L-lactate	Shew_2731, Shew_2732, L-LDH
pyruvate	dctM, dctP, dctQ
ethanol	etoh-dh-nad, adh, ackA, pta
serine	braC, braD, braE, braF, braG, sdaB
alanine	braC, braD, braE, braF, braG
asparagine	yhiT, ans
aspartate	aapJ, aapQ, aapM, aapP
citrate	tctA, tctB, tctC, acn, icd
isoleucine	livF, livG, livJ, livH, livM, ofo, acdH, ech, ivdG, fadA, pccA, pccB, epi, mcm-large, mcm-small
glycerol	glpF, glpK, glpD, tpi
deoxyinosine	nupC, deoD, deoB, deoC, adh, ackA, pta
leucine	livF, livG, livJ, livH, livM, ilvE, ofo, liuA, liuB, liuD, liuC, liuE, atoA, atoD, atoB
D-lactate	lctP, D-LDH
arginine	rocE, rocF, rocD, PRO3, put1, putA
propionate	putP, prpE, pccA, pccB, epi, mcm-large, mcm-small
D-alanine	Pf6N2E2_5402, Pf6N2E2_5403, Pf6N2E2_5404, Pf6N2E2_5405, dadA
proline	proV, proW, proX, put1, putA
deoxyribonate	deoxyribonate-transport, deoxyribonate-dehyd, ketodeoxyribonate-cleavage, garK, atoA, atoD, atoB
fructose	fruII-ABC, 1pfk, fba, tpi
glucose	ptsG-crr
glucose-6-P	uhpT
mannose	manP, manA
valine	livF, livG, livJ, livH, livM, ofo, acdH, ech, bch, mmsB, mmsA, pccA, pccB, epi, mcm-large, mcm-small
thymidine	nupG, deoA, deoB, deoC, adh, ackA, pta
putrescine	potA, potB, potC, potD, patA, patD, gabT, gabD
sucrose	ams, fruII-ABC, 1pfk, fba, tpi
cellobiose	bgl, ptsG-crr
glucosamine	gamP, nagB
maltose	susB, ptsG-crr
mannitol	mtlA, mtlD
ribose	rbsU, rbsK
D-serine	cycA, dsdA
sorbitol	mtlA, srlD
trehalose	treF, ptsG-crr
tryptophan	aroP, tnaA
xylitol	fruI, x5p-reductase
deoxyribose	deoP, deoK, deoC, adh, ackA, pta
galactose	galP, galK, galT, galE, pgmA
gluconate	gntT, gntK, gnd
NAG	nagEcba, nagA, nagB
xylose	xylT, xylA, xylB
citrulline	AO353_03055, AO353_03050, AO353_03045, AO353_03040, citrullinase, rocD, PRO3, put1, putA
lactose	lacP, lacZ, galK, galT, galE, pgmA, glk
histidine	aapJ, aapQ, aapM, aapP, hutH, hutU, hutI, hutG
tyrosine	aroP, HPD, hmgA, maiA, fahA, atoA, atoD, atoB
glucuronate	exuT, udh, gci, kdgD, dopDH
fucose	fucP, fucU, fucI, fucK, fucA, tpi, aldA
phenylalanine	livF, livG, livH, livM, livJ, ARO8, iorA, iorB, paaA, paaB, paaC, paaE, paaG, paaZ1, paaZ2, paaJ1, paaF, paaH, paaJ2
arabinose	araE, araA, araB, araD
galacturonate	exuT, udh, gli, gci, kdgD, dopDH
lysine	lysP, lat, amaB, lysN, hglS, ydiJ
rhamnose	rhaT, rhaM, rhaA, rhaB, rhaD, tpi, aldA
4-hydroxybenzoate	pcaK, pobA, praA, xylF, mhpD, mhpE, adh, ackA, pta
phenylacetate	paaT, paaK, paaA, paaB, paaC, paaE, paaG, paaZ1, paaZ2, paaJ1, paaF, paaH, paaJ2
myoinositol	iolT, iolG, iolE, iolD, iolB, iolC, iolJ, mmsA, tpi

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