Alignments for a candidate for fadA in Desulfobacter vibrioformis DSM 8776

GapMind for catabolism of small carbon sources

Alignments for a candidate for fadA in Desulfobacter vibrioformis DSM 8776

Align acetyl-CoA acetyltransferase (EC 2.3.1.16) (characterized)
to candidate WP_035238683.1 Q366_RS10330 acetyl-CoA C-acyltransferase

Query= metacyc::MONOMER-13468
         (393 letters)



>NCBI__GCF_000745975.1:WP_035238683.1
          Length = 416

 Score =  337 bits (864), Expect = 4e-97
 Identities = 187/415 (45%), Positives = 255/415 (61%), Gaps = 24/415 (5%)

Query: 1   MREVVIVSAVRTAIGSFGGTLKDVSAVDLGAIVIKEAVKRAGIKPEQVDEVIFGNVIQAG 60
           M++VVIVSA RTAIG+FGGTLKD++   L +I +KEA+KRAGI P  +D+V +G  ++  
Sbjct: 1   MKDVVIVSACRTAIGAFGGTLKDLNGACLASITMKEAIKRAGIDPAIIDDVRYGTCLEHH 60

Query: 61  VGQSLARQSAVYAGLPVEVPAFTVNKLCGSGLRTVSLAASLISNGDADTIVVGGSENMSA 120
              + AR  A+ AG+P  VPA T+N++C SG+  V    ++I  G A  I+ GG+E+MS 
Sbjct: 61  DTLNTARVGALMAGIPDTVPAATINRVCISGMEAVLSGMAMIQAGMAHVILAGGTEHMSG 120

Query: 121 SPYLIPKARFGYRMGEAKIYDAMLHDGLIDSFN----------------------NYHMG 158
            PY +PKAR+G R+ +A   DA++H     S+                        Y MG
Sbjct: 121 VPYTVPKARWGCRLQDANFVDALIHALHCGSYTLPFDETSPVDTTQAPASYFLGKPYIMG 180

Query: 159 ITAENIAEKWGITREDQDKFALASQQKAEAAIKAGKFKDEIVPVTVKMKKKE-VVFDTDE 217
            TAE  A+   I+RE+ D+ AL S   AE A   G F DEIVPV V  +KK+ ++FD DE
Sbjct: 181 HTAEFTAQLLDISREEMDEVALRSHNNAERATNDGSFADEIVPVEVPRRKKDPIIFDEDE 240

Query: 218 DPRFGTTIETLAKLKPAFKRDGTGTVTAGNSSGINDSSAALILMSADKAKELGVKPMAKY 277
             R G T+E LA L PAF    TG VTAGN+SGIND S  +++MSA+KAKELG+ P+AK 
Sbjct: 241 HFRPGMTLEKLAALPPAFIPK-TGKVTAGNASGINDGSTGMVIMSAEKAKELGLTPIAKI 299

Query: 278 VDFASAGLDPAIMGYGPYYATKKVLAKTNLTIKDFDLIEANEAFAAQSIAVARDLEFDMS 337
                    P++MG  P  A K ++AK+ +TI DFDLIE NEAFAAQ +   ++L  +  
Sbjct: 300 KATGMGACHPSVMGLSPVPAVKDLMAKSGITIDDFDLIEVNEAFAAQYLGCEKELNLNRE 359

Query: 338 KVNVNGGAIALGHPVGCSGARILVTLLHEMQKRDAKKGLATLCIGGGQGTAVVVE 392
             N+NG  I LGHP+G +GAR++ TL++ M+ +    GLATLC GGG   A  +E
Sbjct: 360 ITNINGSGIGLGHPIGATGARVMTTLMYAMKNKRKNLGLATLCGGGGVSMACAIE 414


Lambda     K      H
   0.316    0.133    0.369 

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: 471
Number of extensions: 21
Number of successful extensions: 4
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: 393
Length of database: 416
Length adjustment: 31
Effective length of query: 362
Effective length of database: 385
Effective search space:   139370
Effective search space used:   139370
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 (21.6 bits)
S2: 50 (23.9 bits)

Align candidate WP_035238683.1 Q366_RS10330 (acetyl-CoA C-acyltransferase)
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.449956.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
    ------- ------ -----    ------- ------ -----   ---- --  --------                             -----------
   4.5e-132  426.5   0.7   5.2e-132  426.3   0.7    1.0  1  NCBI__GCF_000745975.1:WP_035238683.1  


Domain annotation for each sequence (and alignments):
>> NCBI__GCF_000745975.1:WP_035238683.1  
   #    score  bias  c-Evalue  i-Evalue hmmfrom  hmm to    alifrom  ali to    envfrom  env to     acc
 ---   ------ ----- --------- --------- ------- -------    ------- -------    ------- -------    ----
   1 !  426.3   0.7  5.2e-132  5.2e-132       1     385 []       6     414 ..       6     414 .. 0.98

  Alignments for each domain:
  == domain 1  score: 426.3 bits;  conditional E-value: 5.2e-132
                             TIGR01930   1 ivdavRtpigklggslkelsaedLlaavikelleragldpekidevilGnvlqageqaniaReaalaaglpes 73 
                                           iv+a Rt+ig++gg+lk+l+ + L++ ++ke+++rag+dp+ id+v +G+ l++ ++ n+aR  al ag+p++
  NCBI__GCF_000745975.1:WP_035238683.1   6 IVSACRTAIGAFGGTLKDLNGACLASITMKEAIKRAGIDPAIIDDVRYGTCLEHHDTLNTARVGALMAGIPDT 78 
                                           8************************************************************************ PP

                             TIGR01930  74 vpaltvnrvCaSglqAvalaaqkikaGeadvvvaGGvEsmSrvpillkaslrreslklgkakledqllkdl.. 144
                                           vpa t+nrvC Sg++Av +++++i+aG+a v++aGG E+mS vp+ ++++  r++ +l++a+  d+l++ l  
  NCBI__GCF_000745975.1:WP_035238683.1  79 VPAATINRVCISGMEAVLSGMAMIQAGMAHVILAGGTEHMSGVPYTVPKA--RWGCRLQDANFVDALIHALhc 149
                                           ************************************************98..9************9999999* PP

                             TIGR01930 145 .......................vktklsmgetAenlakkygisReeqDeyalrShqkaakAieegkfkdeiv 194
                                                                    + + mg+tAe +a+  +isRee+De alrSh++a++A+++g f+deiv
  NCBI__GCF_000745975.1:WP_035238683.1 150 gsytlpfdetspvdttqapasyfLGKPYIMGHTAEFTAQLLDISREEMDEVALRSHNNAERATNDGSFADEIV 222
                                           ********************99977789********************************************* PP

                             TIGR01930 195 pvevkgk...kkvvskDegirpnttlekLakLkpafkekkgstvtAgNssqlnDGAaalllmseevakelglt 264
                                           pvev+++   + ++++De+ rp++tlekLa L+paf +k g+ vtAgN+s++nDG++ +++ms e+akelglt
  NCBI__GCF_000745975.1:WP_035238683.1 223 PVEVPRRkkdPIIFDEDEHFRPGMTLEKLAALPPAFIPKTGK-VTAGNASGINDGSTGMVIMSAEKAKELGLT 294
                                           ****99999999*****************************7.****************************** PP

                             TIGR01930 265 plarivsaavagvdpeemglgpvpAiekaLkkaglsisdidlvEinEAFAaqvlavekelgsldlekvNvnGG 337
                                           p+a+i ++++ +++p++mgl+pvpA++ +++k g++i+d+dl+E+nEAFAaq+l +ekel+ l++e  N+nG+
  NCBI__GCF_000745975.1:WP_035238683.1 295 PIAKIKATGMGACHPSVMGLSPVPAVKDLMAKSGITIDDFDLIEVNEAFAAQYLGCEKELN-LNREITNINGS 366
                                           *************************************************************.88********* PP

                             TIGR01930 338 AiAlGHPlGasGarivltllkeLkergkkyGlatlCvggGqGaAvile 385
                                            i lGHP+Ga+Gar+++tl++++k+++k++GlatlC ggG ++A  +e
  NCBI__GCF_000745975.1:WP_035238683.1 367 GIGLGHPIGATGARVMTTLMYAMKNKRKNLGLATLCGGGGVSMACAIE 414
                                           ********************************************9886 PP



Internal pipeline statistics summary:
-------------------------------------
Query model(s):                            1  (385 nodes)
Target sequences:                          1  (416 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: 0.00u 0.00s 00:00:00.00 Elapsed: 00:00:00.00
# Mc/sec: 29.37
//
[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