Aligments for a candidate for pccA in Phaeobacter inhibens BS107

GapMind for catabolism of small carbon sources

Aligments for a candidate for pccA in Phaeobacter inhibens BS107

Align Propionyl-CoA carboxylase, biotin carboxylase and biotin-carboxyl carrier subunit; PCC; EC 6.4.1.3; EC 6.3.4.14 (characterized)
to candidate GFF926 PGA1_c09420 pyruvate carboxylase Pyc

Query= SwissProt::I3R7G3
         (601 letters)



>FitnessBrowser__Phaeo:GFF926
          Length = 1188

 Score =  397 bits (1021), Expect = e-114
 Identities = 225/539 (41%), Positives = 319/539 (59%), Gaps = 27/539 (5%)

Query: 2   FSKVLVANRGEIAVRVMRACEELGVRTVAVYSEADKHGGHVRYADEAYNIGPARA-ADSY 60
           F K+L+ANRGEIA+RVMRA  E+G +TVAVY+E DK G H   ADEAY IG       +Y
Sbjct: 46  FKKILIANRGEIAIRVMRAANEMGKKTVAVYAEEDKLGLHRFKADEAYRIGEGMGPVAAY 105

Query: 61  LDHESVIEAARKADADAIHPGYGFLAENAEFARKVEDSEFTWVGPSADAMERLGEKTKAR 120
           L  + +I  A++  ADAIHPGYG L+EN +F      +  T++GP A+ M  LG+K  AR
Sbjct: 106 LSIDEIIRVAKECGADAIHPGYGLLSENPDFVDACARNGITFIGPKAETMRALGDKASAR 165

Query: 121 SLMQDADVPVVPGTTEPADSAEDVKAVADDYGYPVAIKAEGGGGGRGLKVVHSEDEVDGQ 180
            +  DADVPV+P T    +  + ++  A + GYP+ +KA  GGGGRG++ +HSEDE++ +
Sbjct: 166 RVAIDADVPVIPATEVLGNDMDAIRKEAAEVGYPLMLKASWGGGGRGMRPIHSEDELEEK 225

Query: 181 FETAKREGEAYFDNASVYVEKYLEAPRHIEVQILADEHGNVRHLGERDCSLQRRHQKVIE 240
               +RE EA F N   Y+EK +   RH+EVQIL D+HG + HL ERDCS+QRR+QKV+E
Sbjct: 226 VLEGRREAEAAFGNGEGYLEKMITRARHVEVQILGDKHGEIYHLYERDCSVQRRNQKVVE 285

Query: 241 EAPSPALSEDLRERIGEAARRGVRAAEYTNAGTVEFLVE--DGEFYFMEVNTRIQVEHTV 298
            AP+P L+E+ R  I +  R+  +   Y  AGTVEFL++  DG+FYF+EVN R+QVEHTV
Sbjct: 286 RAPAPYLTEEQRTEICDLGRKICQHVNYECAGTVEFLMDMNDGKFYFIEVNPRVQVEHTV 345

Query: 299 TEEVTGLDVVKWQLRVAAGEEL-----DFSQDDVEIEGHSMEFRINAEAPEKEFAPATGT 353
           TEEVTG+D+V+ Q+ +A G+ +       SQD++++ GH+++ R+  E P   F P  G 
Sbjct: 346 TEEVTGIDIVQAQILIAEGKTIAEATGKASQDEIQLNGHALQTRVTTEDPLNNFIPDYGR 405

Query: 354 LSTYDPPGGIGIRMDDAVR-QGDEIGGDYDSMIAKLIVTGSDREEVLVRAERALNEFDIE 412
           ++ Y    G+GIR+D      G  I   YDS++ K+       E+ + R +RAL EF + 
Sbjct: 406 ITAYRSATGMGIRLDGGTAYAGGVITRYYDSLLTKVTAKAPTPEKAIARMDRALREFRVR 465

Query: 413 GLRTVIPFHRLMLTDEAFREGSHTTKYLDEVLDPERIEAAVERWSPEAVAGDEEEGEVTE 472
           G+ T I F   +L    F    +TTK++DE   PE  + A  R         +   +V  
Sbjct: 466 GVSTNIAFVENLLKHPTFLSNEYTTKFIDET--PELFQFAKRR---------DRGTKVLT 514

Query: 473 RTFTVEVNGKRFEVSLEERGAPAIPL--GGASAAASASKPSGPRKRREESDEGGQQVIE 529
               + VNG       E R AP   L    A  A +A++P G R   E+  +G Q V +
Sbjct: 515 YIADISVNG---HPETEGRAAPHTDLKEPRAPKADAATQPYGTRNLLEQ--KGAQAVAD 568



 Score = 54.7 bits (130), Expect = 2e-11
 Identities = 29/89 (32%), Positives = 45/89 (50%)

Query: 513  PRKRREESDEGGQQVIEGDGESVAAEMQGTILAVEVDEGDDVEPGDTVCILEAMKMENDV 572
            P +  + + +   +  +G+   + A M G + +V V  G  V  GD +  +EAMKME  +
Sbjct: 1100 PNRLVKATTQANPKAEQGNPNHIGAPMPGVVASVAVQVGQPVHEGDMLLTIEAMKMETGI 1159

Query: 573  VAERGGTVSQVLVGEGDSVDMGDVLLVLE 601
             AER   V  V V  G  +D  D+L+ LE
Sbjct: 1160 HAERDAVVKAVHVQPGGQIDAKDLLIELE 1188


Lambda     K      H
   0.312    0.132    0.371 

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: 1522
Number of extensions: 65
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: 601
Length of database: 1188
Length adjustment: 42
Effective length of query: 559
Effective length of database: 1146
Effective search space:   640614
Effective search space used:   640614
Neighboring words threshold: 11
Window for multiple hits: 40
X1: 16 ( 7.2 bits)
X2: 38 (14.6 bits)
X3: 64 (24.7 bits)
S1: 42 (21.8 bits)
S2: 56 (26.2 bits)

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

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Candidates (tab-delimited)
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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, or view the source code.

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