Alignments for a candidate for fadA in Sporolactobacillus vineae SL153

GapMind for catabolism of small carbon sources

Alignments for a candidate for fadA in Sporolactobacillus vineae SL153

Align acetyl-CoA C-acetyltransferase (EC 2.3.1.9) (characterized)
to candidate WP_010631186.1 RH97_RS04710 acetyl-CoA C-acetyltransferase

Query= BRENDA::P45359
         (392 letters)



>NCBI__GCF_000246965.1:WP_010631186.1
          Length = 395

 Score =  441 bits (1135), Expect = e-128
 Identities = 224/389 (57%), Positives = 287/389 (73%)

Query: 1   MKEVVIASAVRTAIGSYGKSLKDVPAVDLGATAIKEAVKKAGIKPEDVNEVILGNVLQAG 60
           MKEVVI  A RT +GS+G +L  V AV LG  A +EA++++G+    ++E ++GN+L AG
Sbjct: 1   MKEVVIVGAARTPVGSFGGALSGVSAVALGTAAAREAIRRSGVPAHHIDEAVIGNILSAG 60

Query: 61  LGQNPARQASFKAGLPVEIPAMTINKVCGSGLRTVSLAAQIIKAGDADVIIAGGMENMSR 120
           LGQN ARQ +  +G+     A+ IN +CGSGLR V  A Q ++AGDAD I+AGG E+MSR
Sbjct: 61  LGQNIARQIALHSGMSDSSTAVGINMLCGSGLRAVIQAVQTLRAGDADFILAGGTESMSR 120

Query: 121 APYLANNARWGYRMGNAKFVDEMITDGLWDAFNDYHMGITAENIAERWNISREEQDEFAL 180
           APYL  + RWG RMG  +  D MI D L DAF+  HMG+TAENIAE+W+ISREEQD FAL
Sbjct: 121 APYLLTDYRWGKRMGEGQIEDSMIMDALTDAFSHVHMGVTAENIAEQWHISREEQDAFAL 180

Query: 181 ASQKKAEEAIKSGQFKDEIVPVVIKGRKGETVVDTDEHPRFGSTIEGLAKLKPAFKKDGT 240
            SQ KAE+A   G F +EIVPV +  +K ++ V  DEHPR G T+E L+ L+P F+K+GT
Sbjct: 181 NSQLKAEKAQLLGYFDEEIVPVEVTVKKKKSEVRQDEHPRHGMTLETLSGLRPVFRKNGT 240

Query: 241 VTAGNASGLNDCAAVLVIMSAEKAKELGVKPLAKIVSYGSAGVDPAIMGYGPFYATKAAI 300
           VT GNASGLND AA+LV+ + +KA+E G+  LA I SY SAG+DP IMGYGP  A K A+
Sbjct: 241 VTVGNASGLNDGAAMLVLTTRQKAREAGLTVLASIRSYASAGLDPQIMGYGPVPAVKKAL 300

Query: 301 EKAGWTVDELDLIESNEAFAAQSLAVAKDLKFDMNKVNVNGGAIALGHPIGASGARILVT 360
            +A   +  +DL E NEAFAAQS+AV +DLK D +KVNV+GGAIALGHP+GASGARIL T
Sbjct: 301 HQANLDIGAIDLAEINEAFAAQSIAVIRDLKLDPDKVNVSGGAIALGHPVGASGARILCT 360

Query: 361 LVHAMQKRDAKKGLATLCIGGGQGTAILL 389
           L++ M++  AK GLA LCIGGGQGTA+++
Sbjct: 361 LLYGMKRTGAKTGLAALCIGGGQGTAVIV 389


Lambda     K      H
   0.315    0.132    0.375 

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: 496
Number of extensions: 17
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: 392
Length of database: 395
Length adjustment: 31
Effective length of query: 361
Effective length of database: 364
Effective search space:   131404
Effective search space used:   131404
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_010631186.1 RH97_RS04710 (acetyl-CoA C-acetyltransferase)
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.3466087.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
    ------- ------ -----    ------- ------ -----   ---- --  --------                             -----------
   1.4e-145  471.0   6.7   1.6e-145  470.8   6.7    1.0  1  NCBI__GCF_000246965.1:WP_010631186.1  


Domain annotation for each sequence (and alignments):
>> NCBI__GCF_000246965.1:WP_010631186.1  
   #    score  bias  c-Evalue  i-Evalue hmmfrom  hmm to    alifrom  ali to    envfrom  env to     acc
 ---   ------ ----- --------- --------- ------- -------    ------- -------    ------- -------    ----
   1 !  470.8   6.7  1.6e-145  1.6e-145       1     384 [.       6     389 ..       6     390 .. 0.98

  Alignments for each domain:
  == domain 1  score: 470.8 bits;  conditional E-value: 1.6e-145
                             TIGR01930   1 ivdavRtpigklggslkelsaedLlaavikelleragldpekidevilGnvlqageqaniaReaalaaglpes 73 
                                           iv+a+Rtp+g++gg+l+ +sa+ L++a+ +e+++r+g+ +++ide+++Gn l+ag ++niaR++al +g+++s
  NCBI__GCF_000246965.1:WP_010631186.1   6 IVGAARTPVGSFGGALSGVSAVALGTAAAREAIRRSGVPAHHIDEAVIGNILSAGLGQNIARQIALHSGMSDS 78 
                                           89*********************************************************************** PP

                             TIGR01930  74 vpaltvnrvCaSglqAvalaaqkikaGeadvvvaGGvEsmSrvpillkaslrreslklgkakledqllkdl.. 144
                                             a+ +n++C+Sgl+Av++a+q ++aG+ad ++aGG EsmSr+p+ll +   r++ ++g+ + ed+++ d+  
  NCBI__GCF_000246965.1:WP_010631186.1  79 STAVGINMLCGSGLRAVIQAVQTLRAGDADFILAGGTESMSRAPYLLTDY--RWGKRMGEGQIEDSMIMDAlt 149
                                           ************************************************97..8999999******99999999 PP

                             TIGR01930 145 .vktklsmgetAenlakkygisReeqDeyalrShqkaakAieegkfkdeivpvevkgk..kkvvskDegirpn 214
                                            + ++++mg+tAen+a++++isReeqD++al+S+ ka+kA+  g+f++eivpvev  k  k  v +De++r +
  NCBI__GCF_000246965.1:WP_010631186.1 150 dAFSHVHMGVTAENIAEQWHISREEQDAFALNSQLKAEKAQLLGYFDEEIVPVEVTVKkkKSEVRQDEHPRHG 222
                                           9899*************************************************99988889999********* PP

                             TIGR01930 215 ttlekLakLkpafkekkgstvtAgNssqlnDGAaalllmseevakelgltplarivsaavagvdpeemglgpv 287
                                           +tle+L++L+p+f++ +g tvt gN+s+lnDGAa+l+l+++++a+e glt+la i+s+a ag+dp++mg+gpv
  NCBI__GCF_000246965.1:WP_010631186.1 223 MTLETLSGLRPVFRK-NG-TVTVGNASGLNDGAAMLVLTTRQKAREAGLTVLASIRSYASAGLDPQIMGYGPV 293
                                           *************95.9*.6***************************************************** PP

                             TIGR01930 288 pAiekaLkkaglsisdidlvEinEAFAaqvlavekelgsldlekvNvnGGAiAlGHPlGasGarivltllkeL 360
                                           pA++kaL++a+l+i  idl EinEAFAaq +av+++l+ ld++kvNv GGAiAlGHP+GasGari+ tll+ +
  NCBI__GCF_000246965.1:WP_010631186.1 294 PAVKKALHQANLDIGAIDLAEINEAFAAQSIAVIRDLK-LDPDKVNVSGGAIALGHPVGASGARILCTLLYGM 365
                                           **************************************.99******************************** PP

                             TIGR01930 361 kergkkyGlatlCvggGqGaAvil 384
                                           k+ g+k Gla+lC+ggGqG+Avi+
  NCBI__GCF_000246965.1:WP_010631186.1 366 KRTGAKTGLAALCIGGGQGTAVIV 389
                                           **********************98 PP



Internal pipeline statistics summary:
-------------------------------------
Query model(s):                            1  (385 nodes)
Target sequences:                          1  (395 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: 00:00:00.00
# Mc/sec: 23.51
//
[ok]

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