Aligments for a candidate for nbaC in Burkholderia phytofirmans PsJN

GapMind for catabolism of small carbon sources

Aligments for a candidate for nbaC in Burkholderia phytofirmans PsJN

Align 3-hydroxyanthranilate 3,4-dioxygenase; 3-hydroxyanthranilate oxygenase; 3-HAO; 3-hydroxyanthranilic acid dioxygenase; HAD; EC 1.13.11.6 (characterized)
to candidate BPHYT_RS07265 BPHYT_RS07265 3-hydroxyanthranilate 3,4-dioxygenase

Query= SwissProt::Q1LCS4
         (174 letters)



>FitnessBrowser__BFirm:BPHYT_RS07265
          Length = 174

 Score =  346 bits (887), Expect = e-100
 Identities = 153/173 (88%), Positives = 166/173 (95%)

Query: 1   MLTYGAPFNFPRWIDEHAHLLKPPVGNRQVWQDSDFIVTVVGGPNHRTDYHDDPLEEFFY 60
           MLTYG PFNF RWID+HAHLLKPPVGN+QVWQDSDFIVTVVGGPNHRTDYHDDPLEEFFY
Sbjct: 1   MLTYGKPFNFQRWIDDHAHLLKPPVGNQQVWQDSDFIVTVVGGPNHRTDYHDDPLEEFFY 60

Query: 61  QLRGNAYLNLWVDGRRERADLKEGDIFLLPPHVRHSPQRPEAGSACLVIERQRPAGMLDG 120
           QLRGNAYL+LW+DG+RER DLKEGD+FLLPPHVRHSPQRPEAGS CLVIERQRPAG++DG
Sbjct: 61  QLRGNAYLHLWIDGKRERVDLKEGDVFLLPPHVRHSPQRPEAGSVCLVIERQRPAGVVDG 120

Query: 121 FEWYCDACGHLVHRVEVQLKSIVTDLPPLFESFYASEDKRRCPHCGQVHPGRA 173
           FEWYCDACGHLV+RVEVQLKSIV+DLPPLF +FYASE+KRRC HCG VHPG+A
Sbjct: 121 FEWYCDACGHLVYRVEVQLKSIVSDLPPLFNAFYASEEKRRCGHCGHVHPGKA 173


Lambda     K      H
   0.324    0.143    0.481 

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: 239
Number of extensions: 3
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: 174
Length of database: 174
Length adjustment: 19
Effective length of query: 155
Effective length of database: 155
Effective search space:    24025
Effective search space used:    24025
Neighboring words threshold: 11
Window for multiple hits: 40
X1: 15 ( 7.0 bits)
X2: 38 (14.6 bits)
X3: 64 (24.7 bits)
S1: 41 (22.0 bits)
S2: 44 (21.6 bits)

Align candidate BPHYT_RS07265 BPHYT_RS07265 (3-hydroxyanthranilate 3,4-dioxygenase)
to HMM TIGR03037 (nbaC: 3-hydroxyanthranilate 3,4-dioxygenase (EC 1.13.11.6))

# 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/TIGR03037.hmm
# target sequence database:        /tmp/gapView.19382.genome.faa
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

Query:       TIGR03037  [M=159]
Accession:   TIGR03037
Description: anthran_nbaC: 3-hydroxyanthranilate 3,4-dioxygenase
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
    ------- ------ -----    ------- ------ -----   ---- --  --------                                -----------
    7.5e-84  265.7   0.1    8.4e-84  265.5   0.1    1.0  1  lcl|FitnessBrowser__BFirm:BPHYT_RS07265  BPHYT_RS07265 3-hydroxyanthranil


Domain annotation for each sequence (and alignments):
>> lcl|FitnessBrowser__BFirm:BPHYT_RS07265  BPHYT_RS07265 3-hydroxyanthranilate 3,4-dioxygenase
   #    score  bias  c-Evalue  i-Evalue hmmfrom  hmm to    alifrom  ali to    envfrom  env to     acc
 ---   ------ ----- --------- --------- ------- -------    ------- -------    ------- -------    ----
   1 !  265.5   0.1   8.4e-84   8.4e-84       1     159 []       8     167 ..       8     167 .. 0.99

  Alignments for each domain:
  == domain 1  score: 265.5 bits;  conditional E-value: 8.4e-84
                                TIGR03037   1 lnlkkwidehkellkppvgnkqiwqdselivtvvGGpnkrtdfhvdeseeffyqlkGemvlkvleeGkve 70 
                                              +n+++wid+h++llkppvgn+q+wqds++ivtvvGGpn+rtd+h+d+ eeffyql+G+++l+++ +Gk+e
  lcl|FitnessBrowser__BFirm:BPHYT_RS07265   8 FNFQRWIDDHAHLLKPPVGNQQVWQDSDFIVTVVGGPNHRTDYHDDPLEEFFYQLRGNAYLHLWIDGKRE 77 
                                              7********************************************************************* PP

                                TIGR03037  71 dvpireGdifllppkvphspqra.agsiglvierkrkegeldalqwfcaecgeklyraevklesivkdlp 139
                                              +v+++eGd+fllpp+v+hspqr+ ags++lvier+r+ g  d+++w+c+ cg+ +yr+ev+l+siv+dlp
  lcl|FitnessBrowser__BFirm:BPHYT_RS07265  78 RVDLKEGDVFLLPPHVRHSPQRPeAGSVCLVIERQRPAGVVDGFEWYCDACGHLVYRVEVQLKSIVSDLP 147
                                              ***********************99********************************************* PP

                                TIGR03037 140 pvfekfyssedartckkcGe 159
                                              p+f++fy+se+ r+c +cG+
  lcl|FitnessBrowser__BFirm:BPHYT_RS07265 148 PLFNAFYASEEKRRCGHCGH 167
                                              *******************8 PP



Internal pipeline statistics summary:
-------------------------------------
Query model(s):                            1  (159 nodes)
Target sequences:                          1  (174 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: 5.17
//
[ok]

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

Downloads

Candidates (tab-delimited)
Steps (tab-delimited)
Rules (tab-delimited)
Protein sequences (fasta format)
Organisms (tab-delimited)
SQLite3 databases

Related tools

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, or view the source code.

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