Alignments for a candidate for fadA in Pseudomonas fluorescens FW300-N2E3

GapMind for catabolism of small carbon sources

Alignments for a candidate for fadA in Pseudomonas fluorescens FW300-N2E3

Align acetyl-CoA C-acetyltransferase (EC 2.3.1.16) (characterized)
to candidate AO353_01065 AO353_01065 acetyl-CoA acetyltransferase

Query= metacyc::MONOMER-20831
         (393 letters)



>FitnessBrowser__pseudo3_N2E3:AO353_01065
          Length = 392

 Score =  627 bits (1617), Expect = 0.0
 Identities = 314/392 (80%), Positives = 351/392 (89%)

Query: 1   MQDVVIVAATRTAVGSFQGSLASIPAPELGAAVIRRLLEQTGLDPAQVDEVILGQVLTAG 60
           M +VVIVAATRTA+GSFQG+L++IPA ELGAAVIRRLLEQTG+D AQ+DEVILGQVLTAG
Sbjct: 1   MNEVVIVAATRTAIGSFQGALSAIPATELGAAVIRRLLEQTGIDAAQIDEVILGQVLTAG 60

Query: 61  SGQNPARQASILAGLPHAVPSLTLNKVCGSGLKALHLGAQAIRCGDAEVIIAGGMENMSL 120
           +GQNPARQ +I AGLPH  P+LTLNKVCGSGLKA+HL  QAIRCGDAE++IAGG ENMSL
Sbjct: 61  AGQNPARQTAIKAGLPHTTPALTLNKVCGSGLKAVHLAVQAIRCGDAELVIAGGQENMSL 120

Query: 121 APYVLPAARTGLRMGHAKMIDSMITDGLWDAFNDYHMGITAENLVDKYGISREAQDAFAA 180
           APYVLP ARTGLRMGHA++ DSMI DGLWDAFNDYHMGITAENL  KY ISREAQD FAA
Sbjct: 121 APYVLPKARTGLRMGHAQLQDSMIQDGLWDAFNDYHMGITAENLAQKYEISREAQDTFAA 180

Query: 181 ASQQKATAAIEAGRFVDEITPILIPQRKGDPVAFAVDEQPRAGTTAESLAKLKPAFKKDG 240
           ASQQKA AAIE GRF  EITPILIPQRKG+P+ F  DEQPR  +TA++LAKLKPAF+KDG
Sbjct: 181 ASQQKAAAAIEGGRFQSEITPILIPQRKGEPLVFDTDEQPRIDSTAQALAKLKPAFQKDG 240

Query: 241 SVTAGNASSLNDGAAAVLLMSADKAKALGLPVLARIASYANAGVDPAIMGIGPVSATRRC 300
           SVTAGNAS+LNDGAA +LL SA KA+ALGLPVLARI +YA+AGVDP+IMGIGPV ATR  
Sbjct: 241 SVTAGNASTLNDGAAVLLLASAAKAQALGLPVLARIKAYASAGVDPSIMGIGPVPATRLT 300

Query: 301 LDKAGWSLGDLDLIEANEAFAAQSLAVGKELEWDAEKVNVNGGAIAIGHPIGASGCRVLV 360
           L KAGW++ DLDLIEANEAFAAQ+LAVGKEL WD  KVNVNGGAIA+GHPIGASG R+LV
Sbjct: 301 LQKAGWNVEDLDLIEANEAFAAQALAVGKELGWDTSKVNVNGGAIALGHPIGASGARILV 360

Query: 361 TLLHEMIKRDAKKGLATLCIGGGQGVALALER 392
           +L+HE+I+RD KKGLATLCIGGGQGV LA+ER
Sbjct: 361 SLVHELIRRDGKKGLATLCIGGGQGVGLAIER 392


Lambda     K      H
   0.317    0.133    0.378 

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: 506
Number of extensions: 10
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: 393
Length of database: 392
Length adjustment: 31
Effective length of query: 362
Effective length of database: 361
Effective search space:   130682
Effective search space used:   130682
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 AO353_01065 AO353_01065 (acetyl-CoA 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.13080.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
    ------- ------ -----    ------- ------ -----   ---- --  --------                                     -----------
   4.3e-153  495.7   6.6   4.9e-153  495.5   6.6    1.0  1  lcl|FitnessBrowser__pseudo3_N2E3:AO353_01065  AO353_01065 acetyl-CoA acetyltra


Domain annotation for each sequence (and alignments):
>> lcl|FitnessBrowser__pseudo3_N2E3:AO353_01065  AO353_01065 acetyl-CoA acetyltransferase
   #    score  bias  c-Evalue  i-Evalue hmmfrom  hmm to    alifrom  ali to    envfrom  env to     acc
 ---   ------ ----- --------- --------- ------- -------    ------- -------    ------- -------    ----
   1 !  495.5   6.6  4.9e-153  4.9e-153       1     385 []       6     391 ..       6     391 .. 0.99

  Alignments for each domain:
  == domain 1  score: 495.5 bits;  conditional E-value: 4.9e-153
                                     TIGR01930   1 ivdavRtpigklggslkelsaedLlaavikelleragldpekidevilGnvlqageqaniaReaa 65 
                                                   iv+a+Rt+ig+++g+l+ ++a +L+aavi++lle++g+d+++idevilG+vl+ag+++n+aR+ a
  lcl|FitnessBrowser__pseudo3_N2E3:AO353_01065   6 IVAATRTAIGSFQGALSAIPATELGAAVIRRLLEQTGIDAAQIDEVILGQVLTAGAGQNPARQTA 70 
                                                   8**************************************************************** PP

                                     TIGR01930  66 laaglpesvpaltvnrvCaSglqAvalaaqkikaGeadvvvaGGvEsmSrvpillkaslrreslk 130
                                                   ++aglp+++palt+n+vC+Sgl+Av+la+q+i++G+a++v+aGG E+mS +p++l+++  r +l+
  lcl|FitnessBrowser__pseudo3_N2E3:AO353_01065  71 IKAGLPHTTPALTLNKVCGSGLKAVHLAVQAIRCGDAELVIAGGQENMSLAPYVLPKA--RTGLR 133
                                                   ********************************************************98..89*** PP

                                     TIGR01930 131 lgkakledqllkdl...vktklsmgetAenlakkygisReeqDeyalrShqkaakAieegkfkde 192
                                                   +g+a+l+d++++d+   + ++++mg+tAenla+ky+isRe qD +a++S+qkaa+Aie g+f++e
  lcl|FitnessBrowser__pseudo3_N2E3:AO353_01065 134 MGHAQLQDSMIQDGlwdAFNDYHMGITAENLAQKYEISREAQDTFAAASQQKAAAAIEGGRFQSE 198
                                                   *****************99********************************************** PP

                                     TIGR01930 193 ivpvevkgk...kkvvskDegirpnttlekLakLkpafkekkgstvtAgNssqlnDGAaalllms 254
                                                   i+p+ ++++   + v+++De++r ++t+++LakLkpaf++ +gs vtAgN+s lnDGAa+lll+s
  lcl|FitnessBrowser__pseudo3_N2E3:AO353_01065 199 ITPILIPQRkgePLVFDTDEQPRIDSTAQALAKLKPAFQK-DGS-VTAGNASTLNDGAAVLLLAS 261
                                                   ******9999999*************************95.9*7.******************** PP

                                     TIGR01930 255 eevakelgltplarivsaavagvdpeemglgpvpAiekaLkkaglsisdidlvEinEAFAaqvla 319
                                                    ++a++lgl +lari ++a agvdp++mg+gpvpA++  L+kag++++d+dl+E nEAFAaq+la
  lcl|FitnessBrowser__pseudo3_N2E3:AO353_01065 262 AAKAQALGLPVLARIKAYASAGVDPSIMGIGPVPATRLTLQKAGWNVEDLDLIEANEAFAAQALA 326
                                                   ***************************************************************** PP

                                     TIGR01930 320 vekelgsldlekvNvnGGAiAlGHPlGasGarivltllkeLkergkkyGlatlCvggGqGaAvil 384
                                                   v kelg  d++kvNvnGGAiAlGHP+GasGari+++l++eL +r++k GlatlC+ggGqG+ + +
  lcl|FitnessBrowser__pseudo3_N2E3:AO353_01065 327 VGKELG-WDTSKVNVNGGAIALGHPIGASGARILVSLVHELIRRDGKKGLATLCIGGGQGVGLAI 390
                                                   ******.88***************************************************98877 PP

                                     TIGR01930 385 e 385
                                                   e
  lcl|FitnessBrowser__pseudo3_N2E3:AO353_01065 391 E 391
                                                   5 PP



Internal pipeline statistics summary:
-------------------------------------
Query model(s):                            1  (385 nodes)
Target sequences:                          1  (392 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: 10.58
//
[ok]

This GapMind analysis is from Sep 17 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