Alignments for a candidate for liuB in Mycolicibacterium vanbaalenii PYR-1

GapMind for catabolism of small carbon sources

Alignments for a candidate for liuB in Mycolicibacterium vanbaalenii PYR-1

Align Methylcrotonoyl-CoA carboxylase (EC 6.4.1.4) (characterized)
to candidate WP_011779394.1 MVAN_RS10860 pyruvate carboxylase

Query= reanno::pseudo5_N2C3_1:AO356_01595
         (649 letters)



>NCBI__GCF_000015305.1:WP_011779394.1
          Length = 1145

 Score =  352 bits (904), Expect = e-101
 Identities = 196/448 (43%), Positives = 279/448 (62%), Gaps = 6/448 (1%)

Query: 3   APALTTLLVANRGEIACRVMRTARAMGLTTVAVHSATDRDARHSREADIRVDLGG-SKAA 61
           A  ++ +LVANRGEIA R  R A  MG+ TVAV+   DR++ H  +AD    +G      
Sbjct: 2   AGQISKVLVANRGEIAIRAFRAAYEMGIATVAVYPYEDRNSLHRLKADESYQIGEIGHPV 61

Query: 62  DSYLQIDKLIAAAKASGAQAIHPGYGFLSENAGFARAIENAGLIFLGPPASAIDAMGSKS 121
            +YL + +++  A  +G  A++PGYGFLSEN   A A  +AG+ F+GP A+ ++  G+K+
Sbjct: 62  RAYLSVAEIMRVAVEAGCDAVYPGYGFLSENPELAAACADAGITFVGPSANVLELTGNKA 121

Query: 122 AAKTLMETAGVPLVPGYHGEAQDLETFRDAAERIGYPVLLKATAGGGGKGMKVVEDVSQL 181
            A      AG+P++      A  ++    AA+ + +P+ +KA +GGGG+GM+ V D + L
Sbjct: 122 RAIQAARAAGLPVLTSSAPSAS-VDELVAAADGMEFPLFVKAVSGGGGRGMRRVTDRAAL 180

Query: 182 AEALASAQREAQSSFGDSRMLVEKYLLKPRHVEIQVFADQHGNCLYLNERDCSIQRRHQK 241
           AEA+ +A REA+S+FGD  + +E+ +L PRH+E+Q+ AD  G+ ++L ERDCS+QRRHQK
Sbjct: 181 AEAVEAASREAESAFGDPNVYLEQAVLNPRHIEVQILADTAGHVMHLFERDCSVQRRHQK 240

Query: 242 VVEEAPAPGLTPQLRRAMGEAAVRAAQAIGYVGAGTVEFLLDARGEFFFMEMNTRLQVEH 301
           V+E APAP L  +LR+ + + AV  A+ I Y  AGTVEFLLD RG   F+E N R+QVEH
Sbjct: 241 VIELAPAPNLPDELRQKICDDAVAFAKEIDYSCAGTVEFLLDERGHHVFIECNPRIQVEH 300

Query: 302 PVTEAITGLDLVAWQIRVAQGEPLP---ITQAQVPLLGHAIEVRLYAEDPGNDFLPATGR 358
            VTE IT +DLV+ Q+R+A GE L    ++Q  + + G A++ R+  EDP N F P TGR
Sbjct: 301 TVTEEITDVDLVSSQLRIASGETLADLGLSQETLVIRGAALQCRITTEDPANGFRPDTGR 360

Query: 359 LALYRESAEGPGRRVDSGVEEGDEISPFYDPMLGKLIAWGEDREQARLRLLSMLDEFVIG 418
           +  YR S  G G R+D G   G EI   +D ML KL   G D   A  R    L EF + 
Sbjct: 361 ITAYR-SPGGAGIRLDGGAHLGAEIGAHFDSMLVKLTCRGRDFATAVARAHRALAEFRVR 419

Query: 419 GLKTNIGFLRRIVAHPAFAAAELDTGFI 446
           G+ TNI FL+ ++  P F A  ++T FI
Sbjct: 420 GVSTNIPFLQAVIDDPDFRAGRVNTSFI 447



 Score = 46.2 bits (108), Expect = 8e-09
 Identities = 27/76 (35%), Positives = 39/76 (51%), Gaps = 1/76 (1%)

Query: 570  AAAEASHSHQGGLVAPMNGSIVRVLVGVGQTVEAGAQLVVLEAMKMEHSIRAPKAGVIKA 629
            AA +A  ++   + AP  G +V V +  G  V+AG  +  +EAMKME  I APK+G +  
Sbjct: 1056 AAEKADRTNPDHVAAPFAG-VVTVNIAEGDKVDAGQTIATIEAMKMEAGITAPKSGTVAR 1114

Query: 630  LYCQEGEMVSEGSALV 645
            +       V  G  LV
Sbjct: 1115 VAVSATAQVEGGDLLV 1130



 Score = 32.7 bits (73), Expect = 9e-05
 Identities = 20/54 (37%), Positives = 29/54 (53%), Gaps = 3/54 (5%)

Query: 557  EGDLHRIDLYDPLAAAEASHSHQGGLVAPMNGSIVRVLVGVGQTVEAGAQLVVL 610
            EGD  ++D    +A  EA    + G+ AP +G++ RV V     VE G  LVV+
Sbjct: 1082 EGD--KVDAGQTIATIEAMKM-EAGITAPKSGTVARVAVSATAQVEGGDLLVVI 1132


Lambda     K      H
   0.319    0.134    0.390 

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: 1591
Number of extensions: 87
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: 3
Length of query: 649
Length of database: 1145
Length adjustment: 42
Effective length of query: 607
Effective length of database: 1103
Effective search space:   669521
Effective search space used:   669521
Neighboring words threshold: 11
Window for multiple hits: 40
X1: 16 ( 7.4 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 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