Alignments for a candidate for pccA in Rhodomicrobium vannielii ATCC 17100

GapMind for catabolism of small carbon sources

Alignments for a candidate for pccA in Rhodomicrobium vannielii ATCC 17100

Align propionyl-CoA carboxylase α subunit (EC 6.4.1.3) (characterized)
to candidate WP_013418382.1 RVAN_RS03495 ATP-grasp domain-containing protein

Query= metacyc::MONOMER-13589
         (666 letters)



>NCBI__GCF_000166055.1:WP_013418382.1
          Length = 684

 Score =  485 bits (1248), Expect = e-141
 Identities = 289/693 (41%), Positives = 401/693 (57%), Gaps = 49/693 (7%)

Query: 2   FKKILIANRGEIACRVIKTARKMGIQTVAVYSDADRNALHVSMADEAIHIGPPPANQSYI 61
           F  +LIANRGEIACR+++TAR+MG++T+AVYS+AD  A H+  AD+A  IGP PA  SY+
Sbjct: 6   FASLLIANRGEIACRIVRTARRMGLRTIAVYSEADARARHMKAADDARLIGPAPARDSYL 65

Query: 62  VIDKIMEAIKASGAEAVHPGYGFLSERMDFAAALEAAGVVFIGPPSGAIEAMGDKITSKK 121
            I +I+EA KASGAEAVHPGYGFLSE+  F  A   AG++F+GPP+ AI +MG K  +K 
Sbjct: 66  DIGRIIEAAKASGAEAVHPGYGFLSEKAAFGEACAEAGLIFVGPPASAIRSMGSKAAAKA 125

Query: 122 LAKEAGVSTVPGYMGLIADADEAVKISNEIGYPVMIKASAGGGGKGMRIAWSEAEVKEGF 181
           L + AGV  VPGY G   DA    + +  +G+PV++KA AGGGGKGMRI  +  E++   
Sbjct: 126 LMEAAGVPVVPGYGGAAQDAAAFAREAKRLGFPVLLKAVAGGGGKGMRIVRAADELEVAL 185

Query: 182 ESSKNEAANSFGDDRIFIEKFVTQPRHIEIQVLADKHGNCVYLHERECSIQRRNQKVIEE 241
            ++K EAA +FGDD + +E+FV +PRHIE+Q+ AD HGN V L EREC++QRR+QKV+EE
Sbjct: 186 TAAKREAAAAFGDDTLMMERFVERPRHIEVQIFADSHGNVVSLFERECTLQRRHQKVVEE 245

Query: 242 APSPFLDEATRKAMGEQACALAKAVGYASAGTVEFIVDGQKNFYFLEMNTRLQVEHPVTE 301
           APSP LD+A R+A+ + A   A A+GY  AGTVEF+ D + N +F+EMNTRLQVEH VTE
Sbjct: 246 APSPSLDDARREALCDAARKAAAAIGYVGAGTVEFVAD-ETNAWFIEMNTRLQVEHAVTE 304

Query: 302 LITGIDLVEQMIRVAAGEKLPFQQSDLKINGWAMESRLYAEDPYRNFLPSIGRLTRYRPP 361
            ITG+DLVE  +RVA GE LP +Q ++   G A+E+R+YAED    FLPS G +T++R P
Sbjct: 305 AITGLDLVEWQLRVAMGETLPLRQEEIARAGHAIEARIYAEDADAGFLPSTGTITQWRAP 364

Query: 362 VESVTPTSVVRNDTGVYEGGEISMYYDPMIAKLCTWAPTREAAIEEMRLALDTFEVEGIG 421
                    +R DTG   G E++ +YDPM+AKL   APTR AA+  +R  L  FE+ G+ 
Sbjct: 365 QAG----QGLRIDTGFGAGDEVTPHYDPMLAKLIAHAPTRAAALARLRGVLSGFEIAGVA 420

Query: 422 HNLPFVGAVMDHPRFVKGDITTAFIAEEYPDGFQGAVLDEPTLRRVAAAAAAMNRVAEIR 481
            N+ F+  ++         I T +I  E+      A      +   AA AA ++R A+  
Sbjct: 421 TNVAFLARLLGEGAVAANAIDTGYIEREHAG--LDASHTPGAVHLAAAVAAILSREADET 478

Query: 482 RTR--------ISGT--MNNHERHVGVDWVV-----------ALQGESYHVSIAADREGS 520
           R          ++G   + +     G  W +              G ++ V +   R G 
Sbjct: 479 RRDPADPWSPWVAGAAWVADAACVAGAAWALFGSRGRVFEFRGKDGHAFTVRLEQSRNGM 538

Query: 521 TVSFSDGSSLRVTSDWTPGQPLASLMVDGRPLVMKVGKIPMGFRLRLRGA---DLKVNV- 576
           T++  +G + R   +   G P                 + +G   R  GA   D  V V 
Sbjct: 539 TLAV-EGEAARFAFERERGDPHRF-------------AVTLGGARRAIGAVYGDGAVTVF 584

Query: 577 RTPRQAELALLMPEKLPPDTSKY---LLCPMPGLVVKINVAEGDEVQEGQALATVEAMKM 633
             P+   LA + P      T  +    L PMPG V+ +    G  ++ G  +  +EAMKM
Sbjct: 585 DGPQPIRLAPVDPFAAEATTHHHGTGTLAPMPGTVLTLLAEPGASLEAGAPILILEAMKM 644

Query: 634 ENILRAERRGTVKKIAAAPGASLRVDDVIMEFE 666
           E+ +RA  RG V + A A G  +     +MEFE
Sbjct: 645 EHTVRAPSRGRVARYAVAIGDFVSEGAALMEFE 677


Lambda     K      H
   0.318    0.134    0.386 

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: 1129
Number of extensions: 55
Number of successful extensions: 5
Number of sequences better than 1.0e-02: 1
Number of HSP's gapped: 2
Number of HSP's successfully gapped: 2
Length of query: 666
Length of database: 684
Length adjustment: 39
Effective length of query: 627
Effective length of database: 645
Effective search space:   404415
Effective search space used:   404415
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: 54 (25.4 bits)

This GapMind analysis is from Sep 24 2021. The underlying query database was built on Sep 17 2021.

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Protein sequences (fasta format)
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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