Alignments for a candidate for liuB in Ochrobactrum thiophenivorans DSM 7216

GapMind for catabolism of small carbon sources

Alignments for a candidate for liuB in Ochrobactrum thiophenivorans DSM 7216

Align Methylcrotonoyl-CoA carboxylase (EC 6.4.1.4) (characterized)
to candidate WP_094506529.1 CEV31_RS05800 acetyl/propionyl/methylcrotonyl-CoA carboxylase subunit alpha

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



>NCBI__GCF_002252445.1:WP_094506529.1
          Length = 655

 Score =  749 bits (1934), Expect = 0.0
 Identities = 394/659 (59%), Positives = 480/659 (72%), Gaps = 6/659 (0%)

Query: 1   MFSKLLIANRGEIACRIIRTARRLGIRTVAVYSDADGDALHVALADEAIRIGGAPAAESY 60
           MF K+LIANRGEIACRIIRTA RLGI TVA+YSDAD + LHV +ADEA+R+G A +A+SY
Sbjct: 1   MFQKILIANRGEIACRIIRTAHRLGIATVAIYSDADKNTLHVEMADEAVRVGPAQSAQSY 60

Query: 61  LASAPIVQAARSVGAQAIHPGYGFLSENADFAEAVAEAGMIFVGPPPAAIRAMGLKDAAK 120
           L    I++AA   GA+AIHPGYGFLSEN  F EAV +A ++F+GP   AIRAMGLKDAAK
Sbjct: 61  LNIEAIIKAAHDTGAEAIHPGYGFLSENPAFVEAVEKAELVFIGPSAKAIRAMGLKDAAK 120

Query: 121 ALMERSGVPVVPGYHGEEQDASFLADRAREIGYPVLIKARAGGGGKGMRRVERQEDFGPA 180
           +LMER+ VPVVPGYHG+ QD +FL  +A  I YPVLIKARAGGGGKGMRRV+    F  A
Sbjct: 121 SLMERAAVPVVPGYHGDNQDNAFLKSQADAITYPVLIKARAGGGGKGMRRVDDPAHFSAA 180

Query: 181 LEAARREAESAFGDGSVLLERYLTKPRHIEMQVFGDRHGNIVHLFERDCSLQRRHQKVIE 240
           LE+ARREAE++FGDG+VL+E+Y+TKPRHIE+Q+FGD  GN VHLFERDCSLQRRHQKVIE
Sbjct: 181 LESARREAEASFGDGAVLIEKYMTKPRHIEVQIFGDNFGNAVHLFERDCSLQRRHQKVIE 240

Query: 241 EAPAPGMTAEVRRAMGDAAVRAAQAIGYVGAGTVEFIADVTNGLWPDHFYFMEMNTRLQV 300
           EAPAPGMT E+R AMG+AAV+AA AIGY GAGTVEFIADV+ GL PD F+FMEMNTRLQV
Sbjct: 241 EAPAPGMTPEMRTAMGEAAVKAALAIGYSGAGTVEFIADVSEGLRPDRFFFMEMNTRLQV 300

Query: 301 EHPVTEAITGIDLVEWQLRVASGEPLPKKQADISMNGWAFEARLYAEDPARGFLPATGRL 360
           EHPVTEAIT +DLVEWQLRVASGEPLPK+Q ++++NGWAFEARLYAEDPAR F+PATGRL
Sbjct: 301 EHPVTEAITCLDLVEWQLRVASGEPLPKRQDELAINGWAFEARLYAEDPARDFMPATGRL 360

Query: 361 TELSFPEGTSRVDSGVRQGDTITPYYDPLIAKLIVHGQNRSAALGRLQDALKECRIGGTV 420
              + PE  +RVDSGVR GDTITP+YDP+IAK+I HG  R  AL RL  AL +  I G V
Sbjct: 361 ALFAPPE-NARVDSGVRSGDTITPFYDPMIAKIITHGATRDEALSRLDAALNKTCIAGLV 419

Query: 421 TNRDFLIRLTEEHDFRSGHPDTGLIDREIERLTAPVAPGDEALALAAIFSTGALDPNRST 480
           TNR FL  L +   FR G  DTGLI RE   L     P + A ALA + +   LD  +  
Sbjct: 420 TNRQFLTALCKLEAFRKGDVDTGLIARETVVLFRDEKPSEVAFALATLGALDLLDAPQKG 479

Query: 481 DPWSSLGSWQIWGDAHRMVVIEHADVRATVTLASRGRDQFAVRAGASTLPVLVLDRFEGG 540
           DPWS+L  +++W DA R ++++H   R T++   +G   F    G   L +   D   G 
Sbjct: 480 DPWSALRGFRLWDDASRSILLDHHGERQTISFTIKGDRFFGFTFG--DLEICSYD--NGL 535

Query: 541 ARLEVAGQKRLIRFSRDREALTLFHGGRNLVFHVPDGLTGGQSSEIADDELVAPMPGLVK 600
            R  + G+       R +  +++   GR+ +FH    + G +     +  ++APMPGLV+
Sbjct: 536 VRFSMDGRTEQASVFRLKHDVSVQLNGRDAIFHHVQSV-GAEEDTSRESRILAPMPGLVR 594

Query: 601 LVRVGAGDAVTKGQALVVMEAMKMELTLSASREGTIANVHVAEGAQVSEGTVLVTLMEE 659
           LV V  G +V KG ALV MEAMKMEL L+A R+G I +V VA G Q++EG VLV L E+
Sbjct: 595 LVSVVEGASVAKGDALVTMEAMKMELLLTAPRDGKILSVGVAVGDQINEGAVLVELEEQ 653


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: 1218
Number of extensions: 49
Number of successful extensions: 7
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: 662
Length of database: 655
Length adjustment: 38
Effective length of query: 624
Effective length of database: 617
Effective search space:   385008
Effective search space used:   385008
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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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