Alignments for a candidate for pccA in Pseudomonas stutzeri RCH2

GapMind for catabolism of small carbon sources

Alignments for a candidate for pccA in Pseudomonas stutzeri RCH2

Align Propionyl-CoA carboxylase alpha chain; EC 6.4.1.3 (characterized)
to candidate GFF2304 Psest_2351 urea carboxylase

Query= SwissProt::Q5LUF3
         (681 letters)



>FitnessBrowser__psRCH2:GFF2304
          Length = 1199

 Score =  395 bits (1015), Expect = e-114
 Identities = 233/557 (41%), Positives = 324/557 (58%), Gaps = 51/557 (9%)

Query: 1   MFNKILIANRGEIACRVIKTARKMGISTVAIYSDADKQALHVQMADEAVHIGPPPANQSY 60
           MF+K+LIANRG IACR+++T R + + +VA+YS+AD  +LH+Q ADEA  +G  PA Q+Y
Sbjct: 1   MFDKLLIANRGAIACRILRTLRGLDVKSVAVYSEADAASLHIQQADEAHSLGEGPAAQTY 60

Query: 61  IVIDKVMAAIRATGAQAVHPGYGFLSENSKFAEALEAEGVIFVGPPKGAIEAMGDKITSK 120
           +V++K++   R TGA A+HPGYGFLSEN+ FAEA EA G+ FVGP    +   G K T++
Sbjct: 61  LVVEKILRIARETGASAIHPGYGFLSENAAFAEACEAAGIAFVGPTPEQLRMFGLKHTAR 120

Query: 121 KIAQEANVSTVPGYMGLIEDADEAVKISNQIGYPVMIKASAGGGGKGMRIAWNDQEAREG 180
            +A++  V  + G   L++   +A+  + Q+GYPVM+K++AGGGG GMR+  +  E  E 
Sbjct: 121 ALAKQRGVPMLEG-TELLDSLADALGAAEQVGYPVMLKSTAGGGGIGMRVCRSAAELAEA 179

Query: 181 FQSSKNEAANSFGDDRIFIEKFVTQPRHIEIQVLCDSHGNGIYLGERECSIQRRNQKVVE 240
           F + K    N+F D  +FIEK++ + RH+E+QV  D  G  I LG R+CS+QRRNQKV+E
Sbjct: 180 FDAVKRLGQNNFSDAGVFIEKYIQRARHLEVQVFGDGRGEVIALGVRDCSVQRRNQKVLE 239

Query: 241 EAPSPFLDEATRRAMGEQAVALAKAVGYASAGTVEFIVDGQ-KNFYFLEMNTRLQVEHPV 299
           E P+P L      A+ E AV LAKAV Y SAGTVEF+ D + + FYFLE+NTRLQVEH V
Sbjct: 240 ETPAPNLPAGMAEALCEAAVKLAKAVSYRSAGTVEFVYDAEAEQFYFLEVNTRLQVEHGV 299

Query: 300 TELITGVDLVEQMIRVAAGE--PLSITQGDVKLTGWAIENRLYAEDPYRGFLPSIGRLTR 357
           TE + GVDLV  MI +AAG+  PL      +K +G +I+ RLYAEDP R F PS G LT 
Sbjct: 300 TEQVWGVDLVRWMIELAAGDLPPLVELARALKSSGHSIQARLYAEDPGRDFQPSPGLLTV 359

Query: 358 YRPPAETAAGPLLVNGKWQGDAPSGEA-AVRNDTGVYEGGEISMYYDPMIAKLCTWAPTR 416
                               D P G+  A+R DT V  G EI  Y+DPM+AKL TWAP R
Sbjct: 360 V-------------------DFPKGDGKALRIDTWVEAGCEIPPYFDPMVAKLITWAPDR 400

Query: 417 AAAIEAMRIALDSFEVEGIGHNLPFLSAVMDHPKFISG--------------------DM 456
            +A  A+  ALD   + G+  N  +L  ++ +  F  G                      
Sbjct: 401 ESARAALDTALDETLLYGVESNRAYLRQILGYAPFAEGRPWTRCLEGLTYRATTFEVISA 460

Query: 457 TTAFIAEEYPE--GFEGVNLPET---DLRRVAAAAAAMHRVAEIRRTRVSGRMDNHERRV 511
            T    +++P   G+  V +P +   D R +    A +    +     ++  M     R 
Sbjct: 461 GTQTTVQDFPGRLGYWAVGVPPSGPMDNRALRLGNALLGNPEDAAGLEIT--MSGPILRF 518

Query: 512 GTEWVVTLQGADFPVTI 528
            T+ VV + GA+ PV +
Sbjct: 519 NTDAVVAITGAEIPVKL 535



 Score = 35.4 bits (80), Expect = 2e-05
 Identities = 20/61 (32%), Positives = 31/61 (50%)

Query: 621  GLIVKVDVEVGQEVQEGQALCTIEAMKMENILRAEKKGVVAKINASAGNSLAVDDVIMEF 680
            G + +V V  G  V+ G  L  +E+MKME  L A   GVV ++ A  G+ +     ++  
Sbjct: 1137 GNLWQVSVAEGARVEAGDVLVILESMKMEIPLTAPVAGVVKEVRAQPGSPVRAGQRVVVI 1196

Query: 681  E 681
            E
Sbjct: 1197 E 1197


Lambda     K      H
   0.317    0.134    0.387 

Gapped
Lambda     K      H
   0.267   0.0410    0.140 


Matrix: BLOSUM62
Gap Penalties: Existence: 11, Extension: 1
Number of Sequences: 1
Number of Hits to DB: 1910
Number of extensions: 98
Number of successful extensions: 7
Number of sequences better than 1.0e-02: 1
Number of HSP's gapped: 3
Number of HSP's successfully gapped: 2
Length of query: 681
Length of database: 1199
Length adjustment: 43
Effective length of query: 638
Effective length of database: 1156
Effective search space:   737528
Effective search space used:   737528
Neighboring words threshold: 11
Window for multiple hits: 40
X1: 16 ( 7.3 bits)
X2: 38 (14.6 bits)
X3: 64 (24.7 bits)
S1: 41 (21.7 bits)
S2: 56 (26.2 bits)

This GapMind analysis is from Sep 17 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