Alignments for a candidate for liuB in Phaeobacter inhibens BS107

GapMind for catabolism of small carbon sources

Alignments for a candidate for liuB in Phaeobacter inhibens BS107

Align Methylcrotonoyl-CoA carboxylase (EC 6.4.1.4) (characterized)
to candidate GFF926 PGA1_c09420 pyruvate carboxylase Pyc

Query= reanno::SB2B:6937189
         (673 letters)



>FitnessBrowser__Phaeo:GFF926
          Length = 1188

 Score =  378 bits (970), Expect = e-108
 Identities = 197/449 (43%), Positives = 290/449 (64%), Gaps = 9/449 (2%)

Query: 2   FNKLLIANRGEIACRVIRTARDMGIKTVAVYSDADRDARHVALADESFYLGES-APASSY 60
           F K+LIANRGEIA RV+R A +MG KTVAVY++ D+   H   ADE++ +GE   P ++Y
Sbjct: 46  FKKILIANRGEIAIRVMRAANEMGKKTVAVYAEEDKLGLHRFKADEAYRIGEGMGPVAAY 105

Query: 61  LRGELIIDIAKKCGAEAIHPGYGFLSENAAFARACEASGIAFVGPGSDAIDAMGSKSAAK 120
           L  + II +AK+CGA+AIHPGYG LSEN  F  AC  +GI F+GP ++ + A+G K++A+
Sbjct: 106 LSIDEIIRVAKECGADAIHPGYGLLSENPDFVDACARNGITFIGPKAETMRALGDKASAR 165

Query: 121 LIMEKAGVPLVPGYHGDDQSDATLLAEAKKIGYPLLIKAAYGGGGKGMRIVESESELKAA 180
            +   A VP++P           +  EA ++GYPL++KA++GGGG+GMR + SE EL+  
Sbjct: 166 RVAIDADVPVIPATEVLGNDMDAIRKEAAEVGYPLMLKASWGGGGRGMRPIHSEDELEEK 225

Query: 181 IDSARREAASSFGNDKLLMERYLRQPRHVEVQVFADSQGNCVYLSDRDCSIQRRHQKVVE 240
           +   RREA ++FGN +  +E+ + + RHVEVQ+  D  G   +L +RDCS+QRR+QKVVE
Sbjct: 226 VLEGRREAEAAFGNGEGYLEKMITRARHVEVQILGDKHGEIYHLYERDCSVQRRNQKVVE 285

Query: 241 EAPAPGLPDSLRKQMGEAAVAAAKAIDYRGAGTVEFLLDV-DMSFFFMEMNTRLQVEHPV 299
            APAP L +  R ++ +      + ++Y  AGTVEFL+D+ D  F+F+E+N R+QVEH V
Sbjct: 286 RAPAPYLTEEQRTEICDLGRKICQHVNYECAGTVEFLMDMNDGKFYFIEVNPRVQVEHTV 345

Query: 300 TEMVTGQDLVKWQLLVAAGAQL-----PLEQHEIQIHGHAFEVRIYAEDPNNEFLPASGK 354
           TE VTG D+V+ Q+L+A G  +        Q EIQ++GHA + R+  EDP N F+P  G+
Sbjct: 346 TEEVTGIDIVQAQILIAEGKTIAEATGKASQDEIQLNGHALQTRVTTEDPLNNFIPDYGR 405

Query: 355 LTFLREPEPSRHVRIDSGVR-ENDVISNYYDPMIAKLIVWDESRPRALARLTRALGDYRV 413
           +T  R       +R+D G      VI+ YYD ++ K+     +  +A+AR+ RAL ++RV
Sbjct: 406 ITAYRS-ATGMGIRLDGGTAYAGGVITRYYDSLLTKVTAKAPTPEKAIARMDRALREFRV 464

Query: 414 GGLKHNIEFLSNIAEHPAFAQANFSTDFI 442
            G+  NI F+ N+ +HP F    ++T FI
Sbjct: 465 RGVSTNIAFVENLLKHPTFLSNEYTTKFI 493



 Score = 45.4 bits (106), Expect = 2e-08
 Identities = 28/65 (43%), Positives = 32/65 (49%)

Query: 596  APMNGTVVTHLVAAGDKVSAGQGLLVMEAMKMEYTIEAPFDGVVSEFFFAPGELVSDGTL 655
            APM G V +  V  G  V  G  LL +EAMKME  I A  D VV      PG  +    L
Sbjct: 1124 APMPGVVASVAVQVGQPVHEGDMLLTIEAMKMETGIHAERDAVVKAVHVQPGGQIDAKDL 1183

Query: 656  LLALE 660
            L+ LE
Sbjct: 1184 LIELE 1188


Lambda     K      H
   0.317    0.134    0.380 

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: 1755
Number of extensions: 76
Number of successful extensions: 8
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: 673
Length of database: 1188
Length adjustment: 43
Effective length of query: 630
Effective length of database: 1145
Effective search space:   721350
Effective search space used:   721350
Neighboring words threshold: 11
Window for multiple hits: 40
X1: 16 ( 7.3 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 17 2021. The underlying query database was built on Sep 17 2021.

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Candidates (tab-delimited)
Steps (tab-delimited)
Rules (tab-delimited)
Protein sequences (fasta format)
Organisms (tab-delimited)
SQLite3 databases

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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