Alignments for a candidate for pccA in Saccharomonospora cyanea NA-134

GapMind for catabolism of small carbon sources

Alignments for a candidate for pccA in Saccharomonospora cyanea NA-134

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 WP_005457368.1 SACCYDRAFT_RS15120 biotin carboxylase N-terminal domain-containing protein

Query= SwissProt::I3R7G3
         (601 letters)



>NCBI__GCF_000244975.1:WP_005457368.1
          Length = 1833

 Score =  367 bits (943), Expect = e-105
 Identities = 250/658 (37%), Positives = 347/658 (52%), Gaps = 60/658 (9%)

Query: 1   MFSKVLVANRGEIAVRVMRACEELG------VRTVAVYSEADKHGGHVRYADEAYNIGPA 54
           MF +V + NRGE A+R++ A  E        + TVA Y++AD+    VR ADEAY +GPA
Sbjct: 1   MFRRVAIVNRGEAAMRLIHAVRERNAEGGPRLETVAFYTDADRGATFVREADEAYCLGPA 60

Query: 55  RAADSYLDHESVIEAARKADADAIHPGYGFLAENAEFARKVEDSEFTWVGPSADAMERLG 114
            +A  YLD   +  A  +  ADA+  G+GF+AE+  FA   +    T+VGPSA+AM RLG
Sbjct: 61  -SARPYLDLGVLERALVETKADAVWVGWGFVAEDPAFAELCDRLGVTFVGPSAEAMRRLG 119

Query: 115 EKTKARSLMQDADVPVVPGTTEPADSAEDVKAVADDYGYPVAIKAEGGGGGRGLKVVHSE 174
           +K  A+ L ++  VPV P +  P D  +  +A A+  GYP+ +KA  GGGGRG++VV SE
Sbjct: 120 DKIGAKLLAEEVGVPVAPWSRGPVDDLDAARAAAERIGYPLMLKATAGGGGRGIRVVSSE 179

Query: 175 DEVDGQFETAKREGEAYFDNASVYVEKYLEAPRHIEVQILADEHGNVRHLGERDCSLQRR 234
            E+   +E  + E E  F +  V++E+ +   RH+EVQ++AD  G    LG RDCS+QRR
Sbjct: 180 AELADAYERTRMEAERAFGSGVVFLERLVTGARHVEVQVIADGQGTAWALGVRDCSIQRR 239

Query: 235 HQKVIEEAPSPALSEDLRERIGEAARRGVRAAEYTNAGTVEFLVEDGE--FYFMEVNTRI 292
           +QKVIEE+ SP L+ +    +  +A R V A  Y  A TVEFL   GE  F F+EVNTR+
Sbjct: 240 NQKVIEESASPLLTPEQTGELKASAERLVLAVGYRGAATVEFLYHPGEKLFAFLEVNTRL 299

Query: 293 QVEHTVTEEVTGLDVVKWQLRVAAGEELDFSQDDVEIEGHSMEFRINAEAPEKEFAPATG 352
           QVEH +TE  TG+D+VK QL VAAG +L+  +   E+ GH++E R+NAE P+++FAPA G
Sbjct: 300 QVEHPITEATTGMDLVKAQLHVAAGGKLE-GERPREL-GHAVEARLNAEDPDRDFAPAPG 357

Query: 353 TLSTYDPPGGIGIRMDDAVRQGDEIGGDYDSMIAKLIVTGSDREEVLVRAERALNEFD-- 410
            +S    P G GIR+D  V +GD I  D+DSMIAK+I  G DR+E L R  RA+ +    
Sbjct: 358 RISLLTFPAGPGIRVDTGVSEGDTIPADFDSMIAKIIAYGRDRDEALARLRRAVADTSVL 417

Query: 411 IEGLRTVIPFHRLMLTDEAFREGSHTTKYLDEVLDPERIEAAVERWSPEAVA-------- 462
           IEG  T   F   +L      E S  T ++D V    R+ A        AVA        
Sbjct: 418 IEGGSTNKSFLLDLLDAPEVVEASADTGWIDRVRGEGRLRATRHAGIALAVAAIDSYTEA 477

Query: 463 --------------GDEEEGEVTERTFTVEVNGKRFEVSLEERG----APAIPLGGAS-- 502
                         G  +   V  RT  +++ G  + V++   G      AI  G A+  
Sbjct: 478 EHAEQQHLLSTAHGGRPQVRHVGSRTVDLKLRGTTYRVTVARTGPRWFGVAIEDGPATHR 537

Query: 503 ---------AAASASKPSGPRKRREESDEGGQQVIEGDGE----------SVAAEMQGTI 543
                     A       G R R      G   V+E DG            V +     +
Sbjct: 538 VDLEIERHGEATGQLVAHGRRYRFVTGTHGPVHVVEVDGTVHRISRDEGGVVRSPAPALV 597

Query: 544 LAVEVDEGDDVEPGDTVCILEAMKMENDVVAERGGTVSQVLVGEGDSVDMGDVLLVLE 601
           +A  V+ G +VE G  V +LE+MKME  + A     + +  V  G  V+ G  LL LE
Sbjct: 598 VAAPVEVGAEVEAGAPVLVLESMKMETVLRAPFRAVLRERPVSIGSQVEAGAPLLRLE 655


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: 2416
Number of extensions: 120
Number of successful extensions: 5
Number of sequences better than 1.0e-02: 1
Number of HSP's gapped: 1
Number of HSP's successfully gapped: 1
Length of query: 601
Length of database: 1833
Length adjustment: 45
Effective length of query: 556
Effective length of database: 1788
Effective search space:   994128
Effective search space used:   994128
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: 58 (26.9 bits)

This GapMind analysis is from Apr 09 2024. The underlying query database was built on Sep 17 2021.

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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 2024 update 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