Alignments for a candidate for metX in Pseudomonas fluorescens FW300-N2C3

GapMind for Amino acid biosynthesis

Alignments for a candidate for metX in Pseudomonas fluorescens FW300-N2C3

Align Homoserine O-acetyltransferase; HAT; Homoserine transacetylase; HTA; EC 2.3.1.31 (characterized)
to candidate AO356_13410 AO356_13410 homoserine O-acetyltransferase

Query= SwissProt::D7E9E0
         (489 letters)



>FitnessBrowser__pseudo5_N2C3_1:AO356_13410
          Length = 379

 Score =  377 bits (967), Expect = e-109
 Identities = 192/368 (52%), Positives = 256/368 (69%), Gaps = 6/368 (1%)

Query: 5   SIGNVETKYYQIPEELVLESGKKISDVTLAYETYGTLNWDKSNAILVCHALTGDAHAAGW 64
           S+G V  +     E L L  G+ +    L YETYGTLN   SNA+L+CHAL+G  HAAG+
Sbjct: 9   SVGLVTPQTAHFSEPLALACGRSLPAYDLIYETYGTLNATASNAVLICHALSGHHHAAGY 68

Query: 65  HE-GDRKPGWWDIIIGPGKALDTRKYFIICSNVIGGCKGSTGPSSINPDTGESYGLDFPV 123
           H   DRKPGWWD  IGPGK +DT K+F++  N +GGC GSTGPSS+NPDTG+ +G DFPV
Sbjct: 69  HSIDDRKPGWWDSCIGPGKPIDTSKFFVVSLNNLGGCNGSTGPSSLNPDTGKPFGADFPV 128

Query: 124 VTIKDMVNAQKKLIDYLGISKLLAVIGGSMGGLQVLQWSVSYPDMVKKAIPIATAGYSTP 183
           +T++D V++Q +L D LGI +  AVIGGS+GG+Q LQW+++YPD V+  + IA+A   + 
Sbjct: 129 LTVEDWVHSQARLADRLGIGQWAAVIGGSLGGMQALQWTITYPDRVRHCLAIASAPKLSA 188

Query: 184 QQIAFNEVGRIAIVSDPNWNSGNYYGEKE-PTHGLALARMIGHITYLSDDSMHQKFGRRL 242
           Q IAFNEV R AI++DP ++ G++      P  GL LARM+GHITYLSDDSM +KFGR L
Sbjct: 189 QNIAFNEVARQAILTDPEFHGGSFQEHGVIPKRGLMLARMVGHITYLSDDSMGEKFGRGL 248

Query: 243 Q-DKNEYEFDFSREFEVESYLHYQGLTFTERFDANSYLYLTKAIDYFDLTEN--NSLAEG 299
           + +K  Y+F  S EF+VESYL YQG  F+ RFDAN+YL +TKA+DYFD   N  ++LA+ 
Sbjct: 249 KSEKLNYDF-HSVEFQVESYLRYQGEEFSGRFDANTYLLMTKALDYFDPAANFDDNLAKT 307

Query: 300 LKNVEAKFLVISFTSDWLYPPYQLREIVMALSANNADVTYREIESNYGHDSFLLESGQLN 359
             N  AKF V+SFT+DW + P + RE+V AL A   DV Y EI++  GHD+FL+   +  
Sbjct: 308 FANATAKFCVMSFTTDWRFSPARSRELVDALMAARKDVCYLEIDAPQGHDAFLIPIPRYL 367

Query: 360 YVLNNFLS 367
               N+++
Sbjct: 368 QAFGNYMN 375


Lambda     K      H
   0.316    0.134    0.392 

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: 500
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: 489
Length of database: 379
Length adjustment: 32
Effective length of query: 457
Effective length of database: 347
Effective search space:   158579
Effective search space used:   158579
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: 51 (24.3 bits)

Align candidate AO356_13410 AO356_13410 (homoserine O-acetyltransferase)
to HMM TIGR01392 (metX: homoserine O-acetyltransferase (EC 2.3.1.31))

# 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.aa/TIGR01392.hmm
# target sequence database:        /tmp/gapView.32625.genome.faa
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

Query:       TIGR01392  [M=351]
Accession:   TIGR01392
Description: homoserO_Ac_trn: homoserine O-acetyltransferase
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
    ------- ------ -----    ------- ------ -----   ---- --  --------                                       -----------
   5.4e-142  458.9   0.0   6.2e-142  458.8   0.0    1.0  1  lcl|FitnessBrowser__pseudo5_N2C3_1:AO356_13410  AO356_13410 homoserine O-acetylt


Domain annotation for each sequence (and alignments):
>> lcl|FitnessBrowser__pseudo5_N2C3_1:AO356_13410  AO356_13410 homoserine O-acetyltransferase
   #    score  bias  c-Evalue  i-Evalue hmmfrom  hmm to    alifrom  ali to    envfrom  env to     acc
 ---   ------ ----- --------- --------- ------- -------    ------- -------    ------- -------    ----
   1 !  458.8   0.0  6.2e-142  6.2e-142       3     345 ..      22     369 ..      20     375 .. 0.97

  Alignments for each domain:
  == domain 1  score: 458.8 bits;  conditional E-value: 6.2e-142
                                       TIGR01392   3 eeltlesGevlsevevayktyGtlnaerdNavlvcHaltgsahvagkadeedk..GWWdellG 63 
                                                     e+l l +G  l+ +++ y+tyGtlna  +Navl+cHal+g++h+ag+++ +d+  GWWd+ +G
  lcl|FitnessBrowser__pseudo5_N2C3_1:AO356_13410  22 EPLALACGRSLPAYDLIYETYGTLNATASNAVLICHALSGHHHAAGYHSIDDRkpGWWDSCIG 84 
                                                     789*******************************************998777678******** PP

                                       TIGR01392  64 pgraldtsryfvvclNvlGsckGstgPlsinpetgkpygaefPlvtirDlvkaqkalldsLgv 126
                                                     pg+++dts++fvv+lN+lG+c+GstgP+s+np+tgkp+ga+fP++t++D+v+ q++l+d+Lg+
  lcl|FitnessBrowser__pseudo5_N2C3_1:AO356_13410  85 PGKPIDTSKFFVVSLNNLGGCNGSTGPSSLNPDTGKPFGADFPVLTVEDWVHSQARLADRLGI 147
                                                     *************************************************************** PP

                                       TIGR01392 127 eklaavvGgSlGGmqalewalsypervkkivvlatsarasaqaiafnevqrqailsDpeyndG 189
                                                      ++aav+GgSlGGmqal+w+++yp+rv++++++a+++++saq+iafnev+rqail+Dpe+++G
  lcl|FitnessBrowser__pseudo5_N2C3_1:AO356_13410 148 GQWAAVIGGSLGGMQALQWTITYPDRVRHCLAIASAPKLSAQNIAFNEVARQAILTDPEFHGG 210
                                                     *************************************************************** PP

                                       TIGR01392 190 eyaeee.qPekGLalARmlalltYrseesleerfgreakseeslassleeefsvesylryqgk 251
                                                     +++e++  P++GL lARm++++tY+s++s+ e+fgr  kse+     ++ ef+vesylryqg+
  lcl|FitnessBrowser__pseudo5_N2C3_1:AO356_13410 211 SFQEHGvIPKRGLMLARMVGHITYLSDDSMGEKFGRGLKSEKLNYDFHSVEFQVESYLRYQGE 273
                                                     ******9********************************9977777779************** PP

                                       TIGR01392 252 kfverFdAnsYllltkaldthdlargrrdslkealkkikapvlvvgiesDllftleeqeelak 314
                                                     +f  rFdAn+Yll+tkald++d a++ +d+l++++++++a+++v+++++D++f++++++el++
  lcl|FitnessBrowser__pseudo5_N2C3_1:AO356_13410 274 EFSGRFDANTYLLMTKALDYFDPAANFDDNLAKTFANATAKFCVMSFTTDWRFSPARSRELVD 336
                                                     *************************************************************** PP

                                       TIGR01392 315 alkaakle..yaeieseeGHDaFllekekveel 345
                                                     al aa+++  y ei+ ++GHDaFl+   ++ ++
  lcl|FitnessBrowser__pseudo5_N2C3_1:AO356_13410 337 ALMAARKDvcYLEIDAPQGHDAFLIPIPRYLQA 369
                                                     ****999999**************988776665 PP



Internal pipeline statistics summary:
-------------------------------------
Query model(s):                            1  (351 nodes)
Target sequences:                          1  (379 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: 00:00:00.01
# Mc/sec: 12.03
//
[ok]

This GapMind analysis is from Apr 09 2024. The underlying query database was built on Apr 09 2024.

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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
changes to Amino acid biosynthesis since the publication.

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 Amino acid biosynthesis