Alignments for a candidate for liuB in Stenotrophomonas chelatiphaga DSM 21508

GapMind for catabolism of small carbon sources

Alignments for a candidate for liuB in Stenotrophomonas chelatiphaga DSM 21508

Align Methylcrotonoyl-CoA carboxylase (EC 6.4.1.4) (characterized)
to candidate WP_057507601.1 ABB28_RS05090 acetyl/propionyl/methylcrotonyl-CoA carboxylase subunit alpha

Query= reanno::Smeli:SM_b21124
         (662 letters)



>NCBI__GCF_001431535.1:WP_057507601.1
          Length = 660

 Score =  657 bits (1696), Expect = 0.0
 Identities = 369/665 (55%), Positives = 458/665 (68%), Gaps = 21/665 (3%)

Query: 1   MFSKLLIANRGEIACRIIRTARRLGIRTVAVYSDADGDALHVALADEAIRIGGAPAAESY 60
           MF+K+LIANRGEIACR+I T RRLGI TVAVYSDAD  A HV LADEAI IG APAAESY
Sbjct: 1   MFTKILIANRGEIACRVIATCRRLGIATVAVYSDADRTARHVRLADEAIAIGPAPAAESY 60

Query: 61  LASAPIVQAARSVGAQAIHPGYGFLSENADFAEAVAEAGMIFVGPPPAAIRAMGLKDAAK 120
           L +  I++AAR  GAQAIHPGYGFLSENA FAEA A AG++F+GPP +AIRAMG K AAK
Sbjct: 61  LRADVILEAARRSGAQAIHPGYGFLSENAAFAEACAAAGVVFIGPPASAIRAMGDKSAAK 120

Query: 121 ALMERSGVPVVPGYHGEEQDASFLADRAREIGYPVLIKARAGGGGKGMRRVERQEDFGPA 180
           ALM+++GVP+ PGYHG++QD  FL  +A  IGYPVLIKA AGGGGKGMRRV+    F  A
Sbjct: 121 ALMQQAGVPLTPGYHGDDQDPQFLRGQADAIGYPVLIKASAGGGGKGMRRVDDSAAFIEA 180

Query: 181 LEAARREAESAFGDGSVLLERYLTKPRHIEMQVFGDRHGNIVHLFERDCSLQRRHQKVIE 240
           L + +REA SAFG+  VL+E+Y+ +PRHIE+QVFGD HGN+VHLFERDCS+QRRHQKV+E
Sbjct: 181 LASCQREARSAFGNDHVLVEKYVLRPRHIEIQVFGDGHGNVVHLFERDCSVQRRHQKVLE 240

Query: 241 EAPAPGMTAEVRRAMGDAAVRAAQAIGYVGAGTVEFIADVTNGLWPD-HFYFMEMNTRLQ 299
           EAPAPGMTAE R AMG AAV AA+A+GYVGAGTVEFIA       PD  FYFMEMNTRLQ
Sbjct: 241 EAPAPGMTAERRAAMGKAAVDAARAVGYVGAGTVEFIAS------PDGDFYFMEMNTRLQ 294

Query: 300 VEHPVTEAITGIDLVEWQLRVASGEPLPKKQADISMNGWAFEARLYAEDPARGFLPATGR 359
           VEHPVTE ITG DLV WQLRVA+G+PLPK+Q ++++ G A EARLYAED  +GFLP+ G 
Sbjct: 295 VEHPVTEFITGTDLVAWQLRVAAGQPLPKRQDELAIGGHALEARLYAEDADKGFLPSIGT 354

Query: 360 LTELSFPEGTS--RVDSGVRQGDTITPYYDPLIAKLIVHGQNRSAALGRLQDALKECRIG 417
           L  L  P  ++  RVD+GV QGDTITP+YDP+IAKLIV   +R AAL R+Q AL +C++ 
Sbjct: 355 LRHLRLPPESAHVRVDTGVEQGDTITPFYDPMIAKLIVWDVDRDAALRRMQQALADCQVV 414

Query: 418 GTVTNRDFLIRLTEEHDFRSGHPDTGLIDREIERLTAPVAPGDEAL----ALAAIFST-- 471
           G  TN  FL RL     F     DT LI+RE + L AP A G+ AL    A+ A+ +T  
Sbjct: 415 GVTTNAGFLRRLVGTDSFAQAKLDTALIEREQDALAAPAA-GEAALWTLAAIGAVVTTAR 473

Query: 472 GALDPNRSTDPWSSLGSWQIWGDAHRMVVIEHADVRATVTLASRGRDQFAVRAGASTLPV 531
            A+D      PW +   W+I   A R++ ++  + + ++ + ++    + V+  A     
Sbjct: 474 AAVDARDPRSPWQAQDGWRIGASASRLLPLQQGERQHSLRVQTQ-PGGWQVQRDAEPAQ- 531

Query: 532 LVLDRFEGGARLEVA--GQKRLIRFSRDREALTLFHGGRNLVFHVPDGLTGGQSSEIADD 589
            V  RF  G +L+VA  GQ+  +   RD   + LF       F V D +   + +     
Sbjct: 532 QVSGRFADG-QLDVALDGQRWRVGVQRDDGQVYLFTAQGQQRFSVHDPVGESEQATADAG 590

Query: 590 ELVAPMPGLVKLVRVGAGDAVTKGQALVVMEAMKMELTLSASREGTIANVHVAEGAQVSE 649
            L+APMPG +    V  G  V++G  LVV+EAMKME TL+A  +GT+       G QV +
Sbjct: 591 SLLAPMPGRIVATLVEPGSKVSRGTPLVVLEAMKMEHTLAAPADGTVHGYRAKAGEQVGD 650

Query: 650 GTVLV 654
           G VLV
Sbjct: 651 GAVLV 655


Lambda     K      H
   0.319    0.135    0.394 

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: 1298
Number of extensions: 65
Number of successful extensions: 7
Number of sequences better than 1.0e-02: 1
Number of HSP's gapped: 2
Number of HSP's successfully gapped: 1
Length of query: 662
Length of database: 660
Length adjustment: 38
Effective length of query: 624
Effective length of database: 622
Effective search space:   388128
Effective search space used:   388128
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 (21.8 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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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