Alignments for a candidate for fadA in Phaeobacter inhibens BS107

GapMind for catabolism of small carbon sources

Alignments for a candidate for fadA in Phaeobacter inhibens BS107

Align subunit of β-ketoadipyl CoA thiolase (EC 2.3.1.174; EC 2.3.1.16) (characterized)
to candidate GFF398 PGA1_c04090 beta-ketoadipyl-CoA thiolase PaaJ

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



>FitnessBrowser__Phaeo:GFF398
          Length = 400

 Score =  533 bits (1374), Expect = e-156
 Identities = 267/399 (66%), Positives = 314/399 (78%), Gaps = 1/399 (0%)

Query: 3   DVFICDAIRTPIGRFGGALAGVRADDLAAVPLKALIEPNPAVQWDQVDEVFFGCANQAGE 62
           D FICDA RTPIGR+GGAL+ +R DDLAA+P+ AL   NP V W  +D+V  G ANQAGE
Sbjct: 2   DAFICDATRTPIGRYGGALSQLRTDDLAALPIAALAARNPDVDWSSLDDVILGDANQAGE 61

Query: 63  DNRNVARMALLLAGLPESIPGVTLNRLCASGMDAIGTAFRAIASGEMELAIAGGVESMSR 122
            NRNVARMA LLAGLP ++PG T+NRLCASGMDA+G A R I +G+ ++AIAGGVESMSR
Sbjct: 62  SNRNVARMAALLAGLPTTVPGTTINRLCASGMDAVGMASRGIKAGDYDMAIAGGVESMSR 121

Query: 123 APFVMGKAESGYSRNMKLEDTTIGWRFINPLMKSQYGVDSMPETADNVADDYQVSRADQD 182
           APFVM KA S ++R   + DTTIGWRF+N  M   YG DSMP+TADNVA+DY +SR DQD
Sbjct: 122 APFVMPKATSAFTRANAVYDTTIGWRFVNKKMHEMYGTDSMPQTADNVAEDYGISREDQD 181

Query: 183 AFALRSQQKAAAAQAAGFFAEEIVPVRIAHKKG-ETIVERDEHLRPETTLEALTKLKPVN 241
           AFA RSQ + AAA  AG F +EI PV I  +KG + +V+ DEH RP T+ E L  LK VN
Sbjct: 182 AFAARSQARWAAAHEAGIFNDEITPVTIPQRKGDDLVVDTDEHPRPGTSAEKLAGLKGVN 241

Query: 242 GPDKTVTAGNASGVNDGAAALILASAEAVKKHGLTPRARVLGMASGGVAPRVMGIGPVPA 301
           GPDK+VTAGNASGVNDGAAA+++A+  A  K+GL P AR++GM + GV PR+MGIGPVPA
Sbjct: 242 GPDKSVTAGNASGVNDGAAAILMANEAAAAKNGLKPMARIVGMTAAGVEPRIMGIGPVPA 301

Query: 302 VRKLTERLGVAVSDFDVIELNEAFASQGLAVLRELGVADDAPQVNPNGGAIALGHPLGMS 361
            RK+  R G+ +   DVIELNEAFASQGLA LRELGVADDAP VNPNGGAIALGHPLGMS
Sbjct: 302 TRKVLARTGLTIDQMDVIELNEAFASQGLATLRELGVADDAPHVNPNGGAIALGHPLGMS 361

Query: 362 GARLVLTALHQLEKSGGRKGLATMCVGVGQGLALAIERV 400
           GARLVLTA +QL+++GGR  L TMCVGVGQG AL +ERV
Sbjct: 362 GARLVLTAAYQLQRTGGRYALCTMCVGVGQGTALILERV 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: 541
Number of extensions: 10
Number of successful extensions: 2
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 GFF398 PGA1_c04090 (beta-ketoadipyl-CoA thiolase PaaJ)
to HMM TIGR01930 (acetyl-CoA C-acyltransferase (EC 2.3.1.16))

# 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/TIGR01930.hmm
# target sequence database:        /tmp/gapView.24948.genome.faa
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

Query:       TIGR01930  [M=385]
Accession:   TIGR01930
Description: AcCoA-C-Actrans: acetyl-CoA C-acyltransferase
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
    ------- ------ -----    ------- ------ -----   ---- --  --------                         -----------
   8.6e-139  448.7   3.7   9.7e-139  448.5   3.7    1.0  1  lcl|FitnessBrowser__Phaeo:GFF398  PGA1_c04090 beta-ketoadipyl-CoA 


Domain annotation for each sequence (and alignments):
>> lcl|FitnessBrowser__Phaeo:GFF398  PGA1_c04090 beta-ketoadipyl-CoA thiolase PaaJ
   #    score  bias  c-Evalue  i-Evalue hmmfrom  hmm to    alifrom  ali to    envfrom  env to     acc
 ---   ------ ----- --------- --------- ------- -------    ------- -------    ------- -------    ----
   1 !  448.5   3.7  9.7e-139  9.7e-139       1     385 []       5     398 ..       5     398 .. 0.95

  Alignments for each domain:
  == domain 1  score: 448.5 bits;  conditional E-value: 9.7e-139
                         TIGR01930   1 ivdavRtpigklggslkelsaedLlaavikellera.gldpekidevilGnvlqageq.aniaReaalaaglpesvp 75 
                                       i da+Rtpig++gg+l++l+ +dL+a  i +l +r+ ++d + +d+vilG + qage   n+aR+aal aglp++vp
  lcl|FitnessBrowser__Phaeo:GFF398   5 ICDATRTPIGRYGGALSQLRTDDLAALPIAALAARNpDVDWSSLDDVILGDANQAGESnRNVARMAALLAGLPTTVP 81 
                                       789*******99**********************************************9****************** PP

                         TIGR01930  76 altvnrvCaSglqAvalaaqkikaGeadvvvaGGvEsmSrvpillkaslrreslklgkakledqllkdl........ 144
                                       ++t+nr+CaSg++Av +a + ikaG++d+++aGGvEsmSr+p+++++++   s+ ++++ ++d+++  +        
  lcl|FitnessBrowser__Phaeo:GFF398  82 GTTINRLCASGMDAVGMASRGIKAGDYDMAIAGGVESMSRAPFVMPKAT---SAFTRANAVYDTTI--Gwrfvnkkm 153
                                       ********************************************99973...33344444444332..133567777 PP

                         TIGR01930 145 ..vktklsmgetAenlakkygisReeqDeyalrShqkaakAieegkfkdeivpvevkgk...kkvvskDegirpntt 216
                                          +   sm +tA+n+a++ygisRe+qD++a+rS+ + a+A+e+g f+dei+pv+++++   + vv++De++rp+t+
  lcl|FitnessBrowser__Phaeo:GFF398 154 heMYGTDSMPQTADNVAEDYGISREDQDAFAARSQARWAAAHEAGIFNDEITPVTIPQRkgdDLVVDTDEHPRPGTS 230
                                       9878889**************************************************999*999************* PP

                         TIGR01930 217 lekLakLkpafkekkgstvtAgNssqlnDGAaalllmseevakelgltplarivsaavagvdpeemglgpvpAieka 293
                                       +ekLa+Lk +  + + s vtAgN+s++nDGAaa+l+++e++a++ gl+p+ariv+++ agv+p++mg+gpvpA++k+
  lcl|FitnessBrowser__Phaeo:GFF398 231 AEKLAGLKGVNGP-DKS-VTAGNASGVNDGAAAILMANEAAAAKNGLKPMARIVGMTAAGVEPRIMGIGPVPATRKV 305
                                       ***********95.786.*********************************************************** PP

                         TIGR01930 294 LkkaglsisdidlvEinEAFAaqvlavekelgsld.lekvNvnGGAiAlGHPlGasGarivltllkeLkergkkyGl 369
                                       L+++gl+i+++d++E+nEAFA+q la  +elg  d    vN nGGAiAlGHPlG+sGar+vlt +++L++ g++y+l
  lcl|FitnessBrowser__Phaeo:GFF398 306 LARTGLTIDQMDVIELNEAFASQGLATLRELGVADdAPHVNPNGGAIALGHPLGMSGARLVLTAAYQLQRTGGRYAL 382
                                       ********************************866689*************************************** PP

                         TIGR01930 370 atlCvggGqGaAvile 385
                                        t+Cvg GqG+A+ile
  lcl|FitnessBrowser__Phaeo:GFF398 383 CTMCVGVGQGTALILE 398
                                       **************97 PP



Internal pipeline statistics summary:
-------------------------------------
Query model(s):                            1  (385 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 0.00s 00:00:00.01 Elapsed: 00:00:00.01
# Mc/sec: 10.88
//
[ok]

This GapMind analysis is from Sep 17 2021. The underlying query database was built on Sep 17 2021.

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Steps (tab-delimited)
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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