Alignments for a candidate for pcaF in Klebsiella michiganensis M5al

GapMind for catabolism of small carbon sources

Alignments for a candidate for pcaF in Klebsiella michiganensis M5al

Align subunit of β-ketoadipyl CoA thiolase (EC 2.3.1.174; EC 2.3.1.16) (characterized)
to candidate BWI76_RS16135 BWI76_RS16135 acetyl-CoA acetyltransferase

Query= metacyc::MONOMER-3207
         (400 letters)



>FitnessBrowser__Koxy:BWI76_RS16135
          Length = 400

 Score =  541 bits (1395), Expect = e-158
 Identities = 274/401 (68%), Positives = 325/401 (81%), Gaps = 2/401 (0%)

Query: 1   MRDVFICDAIRTPIGRFGGALAGVRADDLAAVPLKALIEPNPAVQWDQVDEVFFGCANQA 60
           M   FICDA+RTP GRFGG LA +RADDLAA+PLKAL+E NP +   ++D+V +GCANQA
Sbjct: 1   MNQAFICDAVRTPFGRFGGTLATLRADDLAALPLKALLERNPGLDPARIDDVIYGCANQA 60

Query: 61  GEDNRNVARMALLLAGLPESIPGVTLNRLCASGMDAIGTAFRAIASGEMELAIAGGVESM 120
           GEDNRNVARMALLLAGLPES+PG T+NRLC S +DAIG A RAI SGE +L IAGGVESM
Sbjct: 61  GEDNRNVARMALLLAGLPESVPGSTVNRLCGSSLDAIGIAARAIKSGETQLMIAGGVESM 120

Query: 121 SRAPFVMGKAESGYSRNMKLEDTTIGWRFINPLMKSQYGVDSMPETADNVADDYQVSRAD 180
           SRAPFVMGKAES +SR M++EDTTIGWRFINP MK+ YGVDSMPETA+NVADD+ +SRAD
Sbjct: 121 SRAPFVMGKAESAFSRTMRMEDTTIGWRFINPQMKALYGVDSMPETAENVADDFAISRAD 180

Query: 181 QDAFALRSQQKAAAAQAAGFFAEEIVPVRIAHKKGETIV-ERDEHLRPETTLEALTKLKP 239
           QDAFALRSQ + AAAQ AG FA+E++ V +  +KGE ++  RDEH R  TT EAL +L+ 
Sbjct: 181 QDAFALRSQLRTAAAQEAGRFADELIAVSVPQRKGEPLLFSRDEHPR-TTTAEALARLRG 239

Query: 240 VNGPDKTVTAGNASGVNDGAAALILASAEAVKKHGLTPRARVLGMASGGVAPRVMGIGPV 299
           V  PD TVTAGNASGVNDGA AL+LAS +A+  + L P ARV+G+A+ GVAPR+MG GP 
Sbjct: 240 VVRPDGTVTAGNASGVNDGACALLLASEQALAANDLQPLARVVGVATAGVAPRIMGFGPA 299

Query: 300 PAVRKLTERLGVAVSDFDVIELNEAFASQGLAVLRELGVADDAPQVNPNGGAIALGHPLG 359
           PAVRK+  + G+ +   DVIELNEAFA+Q LAV R+LG+ DDA  VNPNGGAIALGHPLG
Sbjct: 300 PAVRKVLAQTGLTLGQMDVIELNEAFAAQALAVTRDLGLPDDAAYVNPNGGAIALGHPLG 359

Query: 360 MSGARLVLTALHQLEKSGGRKGLATMCVGVGQGLALAIERV 400
            SG RL +TA +QL ++GGR  L TMC+GVGQG+AL IERV
Sbjct: 360 ASGGRLAMTAAYQLRRTGGRYALCTMCIGVGQGIALIIERV 400


Lambda     K      H
   0.318    0.134    0.383 

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: 543
Number of extensions: 18
Number of successful extensions: 1
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: 400
Length of database: 400
Length adjustment: 31
Effective length of query: 369
Effective length of database: 369
Effective search space:   136161
Effective search space used:   136161
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: 50 (23.9 bits)

Align candidate BWI76_RS16135 BWI76_RS16135 (acetyl-CoA acetyltransferase)
to HMM TIGR02430 (pcaF: 3-oxoadipyl-CoA thiolase (EC 2.3.1.174))

# hmmsearch :: search profile(s) against a sequence database
# HMMER 3.3.1 (Jul 2020); http://hmmer.org/
# Copyright (C) 2020 Howard Hughes Medical Institute.
# Freely distributed under the BSD open source license.
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
# query HMM file:                  ../tmp/path.carbon/TIGR02430.hmm
# target sequence database:        /tmp/gapView.1101356.genome.faa
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

Query:       TIGR02430  [M=400]
Accession:   TIGR02430
Description: pcaF: 3-oxoadipyl-CoA thiolase
Scores for complete sequences (score includes all domains):
   --- full sequence ---   --- best 1 domain ---    -#dom-
    E-value  score  bias    E-value  score  bias    exp  N  Sequence                           Description
    ------- ------ -----    ------- ------ -----   ---- --  --------                           -----------
   2.3e-222  724.1   9.8   2.6e-222  723.9   9.8    1.0  1  FitnessBrowser__Koxy:BWI76_RS16135  


Domain annotation for each sequence (and alignments):
>> FitnessBrowser__Koxy:BWI76_RS16135  
   #    score  bias  c-Evalue  i-Evalue hmmfrom  hmm to    alifrom  ali to    envfrom  env to     acc
 ---   ------ ----- --------- --------- ------- -------    ------- -------    ------- -------    ----
   1 !  723.9   9.8  2.6e-222  2.6e-222       2     400 .]       3     400 .]       2     400 .] 1.00

  Alignments for each domain:
  == domain 1  score: 723.9 bits;  conditional E-value: 2.6e-222
                           TIGR02430   2 evyivdairtpiGrygGslssvraddlaavplkallarnpsldaaaiddvilGcanqaGednrnvarmaallaGl 76 
                                         +++i+da+rtp+Gr+gG+l+++raddlaa+plkall+rnp ld a iddvi+GcanqaGednrnvarma+llaGl
  FitnessBrowser__Koxy:BWI76_RS16135   3 QAFICDAVRTPFGRFGGTLATLRADDLAALPLKALLERNPGLDPARIDDVIYGCANQAGEDNRNVARMALLLAGL 77 
                                         79************************************************************************* PP

                           TIGR02430  77 pvsvpgttvnrlcgsgldalglaaraikaGeadlviaGGvesmsrapfvlGkadsafsrsakledttiGwrfvnp 151
                                         p+svpg+tvnrlcgs+lda+g+aaraik+Ge++l+iaGGvesmsrapfv+Gka+safsr+ ++edttiGwrf+np
  FitnessBrowser__Koxy:BWI76_RS16135  78 PESVPGSTVNRLCGSSLDAIGIAARAIKSGETQLMIAGGVESMSRAPFVMGKAESAFSRTMRMEDTTIGWRFINP 152
                                         *************************************************************************** PP

                           TIGR02430 152 klkalyGvdsmpetaenvaeefgvsredqdafalrsqqrtaaaqakGffaeeivpveikqkkGeetvvdkdehlr 226
                                         ++kalyGvdsmpetaenva++f++sr+dqdafalrsq rtaaaq++G fa+e++ v+++q+kGe+  +++deh+r
  FitnessBrowser__Koxy:BWI76_RS16135 153 QMKALYGVDSMPETAENVADDFAISRADQDAFALRSQLRTAAAQEAGRFADELIAVSVPQRKGEPLLFSRDEHPR 227
                                         *************************************************************************** PP

                           TIGR02430 227 aettlealaklkavvredgtvtaGnasGvndGaaalllaseeavkrhgltprarilaaasaGveprvmGlgpvpa 301
                                           tt eala+l++vvr+dgtvtaGnasGvndGa+alllase+a+++++l+p ar++++a+aGv+pr+mG+gp+pa
  FitnessBrowser__Koxy:BWI76_RS16135 228 -TTTAEALARLRGVVRPDGTVTAGNASGVNDGACALLLASEQALAANDLQPLARVVGVATAGVAPRIMGFGPAPA 301
                                         .89************************************************************************ PP

                           TIGR02430 302 vkkllaraglsledldvielneafaaqalavlrelgladddarvnpnGGaialGhplGasGarlvltalkqleks 376
                                         v+k+la++gl+l ++dvielneafaaqalav+r+lgl+dd+a vnpnGGaialGhplGasG rl++ta +ql+++
  FitnessBrowser__Koxy:BWI76_RS16135 302 VRKVLAQTGLTLGQMDVIELNEAFAAQALAVTRDLGLPDDAAYVNPNGGAIALGHPLGASGGRLAMTAAYQLRRT 376
                                         *************************************************************************** PP

                           TIGR02430 377 ggryalatlciGvGqGialvierv 400
                                         ggryal+t+ciGvGqGial+ierv
  FitnessBrowser__Koxy:BWI76_RS16135 377 GGRYALCTMCIGVGQGIALIIERV 400
                                         ***********************8 PP



Internal pipeline statistics summary:
-------------------------------------
Query model(s):                            1  (400 nodes)
Target sequences:                          1  (400 residues searched)
Passed MSV filter:                         1  (1); expected 0.0 (0.02)
Passed bias filter:                        1  (1); expected 0.0 (0.02)
Passed Vit filter:                         1  (1); expected 0.0 (0.001)
Passed Fwd filter:                         1  (1); expected 0.0 (1e-05)
Initial search space (Z):                  1  [actual number of targets]
Domain search space  (domZ):               1  [number of targets reported over threshold]
# CPU time: 0.01u 0.01s 00:00:00.02 Elapsed: 00:00:00.00
# Mc/sec: 17.63
//
[ok]

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