GapMind for catabolism of small carbon sources

 

Aligments for a candidate for mmsB in Pseudomonas stutzeri RCH2

Align 3-hydroxyisobutyrate dehydrogenase (EC 1.1.1.31) (characterized)
to candidate GFF2390 Psest_2438 3-hydroxyisobutyrate dehydrogenase

Query= reanno::psRCH2:GFF2390
         (296 letters)



>FitnessBrowser__psRCH2:GFF2390
          Length = 296

 Score =  587 bits (1512), Expect = e-172
 Identities = 296/296 (100%), Positives = 296/296 (100%)

Query: 1   MHIGFIGLGNMGAPMAHNLLKAGHQLSVFDLNAAAVENLVGAGALPVDSPTAIAQGNAEL 60
           MHIGFIGLGNMGAPMAHNLLKAGHQLSVFDLNAAAVENLVGAGALPVDSPTAIAQGNAEL
Sbjct: 1   MHIGFIGLGNMGAPMAHNLLKAGHQLSVFDLNAAAVENLVGAGALPVDSPTAIAQGNAEL 60

Query: 61  IITMLPAAAHVKGVYLGVNGLIAHSRAGVMLIDCSTIDPHSAREVAKAAAEHGNPMLDAP 120
           IITMLPAAAHVKGVYLGVNGLIAHSRAGVMLIDCSTIDPHSAREVAKAAAEHGNPMLDAP
Sbjct: 61  IITMLPAAAHVKGVYLGVNGLIAHSRAGVMLIDCSTIDPHSAREVAKAAAEHGNPMLDAP 120

Query: 121 VSGGTGGAAAGTLTFMVGGSDPDFDHAQPILAAMGKNIVHCGAAGNGQVAKVANNMLLGI 180
           VSGGTGGAAAGTLTFMVGGSDPDFDHAQPILAAMGKNIVHCGAAGNGQVAKVANNMLLGI
Sbjct: 121 VSGGTGGAAAGTLTFMVGGSDPDFDHAQPILAAMGKNIVHCGAAGNGQVAKVANNMLLGI 180

Query: 181 SMIGVAEAMALGVALGMDAKTLAGVINTSSGRCWSSDTYNPFPGVLDNVPSSRGYSGGFG 240
           SMIGVAEAMALGVALGMDAKTLAGVINTSSGRCWSSDTYNPFPGVLDNVPSSRGYSGGFG
Sbjct: 181 SMIGVAEAMALGVALGMDAKTLAGVINTSSGRCWSSDTYNPFPGVLDNVPSSRGYSGGFG 240

Query: 241 SDLMLKDLGLATEAAKQVRQPVILGALAQQLYQSFSAQGHGGLDFSAIINQYRKDT 296
           SDLMLKDLGLATEAAKQVRQPVILGALAQQLYQSFSAQGHGGLDFSAIINQYRKDT
Sbjct: 241 SDLMLKDLGLATEAAKQVRQPVILGALAQQLYQSFSAQGHGGLDFSAIINQYRKDT 296


Lambda     K      H
   0.318    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: 509
Number of extensions: 14
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: 296
Length of database: 296
Length adjustment: 26
Effective length of query: 270
Effective length of database: 270
Effective search space:    72900
Effective search space used:    72900
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: 48 (23.1 bits)

Align candidate GFF2390 Psest_2438 (3-hydroxyisobutyrate dehydrogenase)
to HMM TIGR01692 (mmsB: 3-hydroxyisobutyrate dehydrogenase (EC 1.1.1.31))

# 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.carbon/TIGR01692.hmm
# target sequence database:        /tmp/gapView.15415.genome.faa
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

Query:       TIGR01692  [M=288]
Accession:   TIGR01692
Description: HIBADH: 3-hydroxyisobutyrate dehydrogenase
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
    ------- ------ -----    ------- ------ -----   ---- --  --------                           -----------
   9.9e-138  444.3  10.5   1.1e-137  444.1  10.5    1.0  1  lcl|FitnessBrowser__psRCH2:GFF2390  Psest_2438 3-hydroxyisobutyrate 


Domain annotation for each sequence (and alignments):
>> lcl|FitnessBrowser__psRCH2:GFF2390  Psest_2438 3-hydroxyisobutyrate dehydrogenase
   #    score  bias  c-Evalue  i-Evalue hmmfrom  hmm to    alifrom  ali to    envfrom  env to     acc
 ---   ------ ----- --------- --------- ------- -------    ------- -------    ------- -------    ----
   1 !  444.1  10.5  1.1e-137  1.1e-137       1     288 []       5     293 ..       5     293 .. 0.99

  Alignments for each domain:
  == domain 1  score: 444.1 bits;  conditional E-value: 1.1e-137
                           TIGR01692   1 fiGlGnmGgpmaanllkaghavrvfdlsakaveelveaGaqaaasaaeave.eadvvitmlPagkhvesvyagde 74 
                                         fiGlGnmG+pma+nllkagh+++vfdl+a+ave+lv aGa   +s++++++ +a+ +itmlPa++hv+ vy+g +
  lcl|FitnessBrowser__psRCH2:GFF2390   5 FIGLGNMGAPMAHNLLKAGHQLSVFDLNAAAVENLVGAGALPVDSPTAIAQgNAELIITMLPAAAHVKGVYLGVN 79 
                                         9*********************************************99887369********************* PP

                           TIGR01692  75 gilakvkkksllidsstidvdsarkvaeeaaakGavfldaPvsGGvggaraGtltfmvGgeaeefaraepvleam 149
                                         g++a+ + +++lid+stid++sar+va++aa++G+ +ldaPvsGG+gga+aGtltfmvGg++ +f++a+p+l+am
  lcl|FitnessBrowser__psRCH2:GFF2390  80 GLIAHSRAGVMLIDCSTIDPHSAREVAKAAAEHGNPMLDAPVSGGTGGAAAGTLTFMVGGSDPDFDHAQPILAAM 154
                                         *************************************************************************** PP

                           TIGR01692 150 gknivhaGdaGaGqaakiCnnlllgismiGvaealalgeklGldpkvlaeilskssGrcWsldtynPvPGvveqa 224
                                         gknivh+G+aG Gq+ak+ nn+llgismiGvaea+alg++lG+d+k+la ++++ssGrcWs+dtynP+PGv++++
  lcl|FitnessBrowser__psRCH2:GFF2390 155 GKNIVHCGAAGNGQVAKVANNMLLGISMIGVAEAMALGVALGMDAKTLAGVINTSSGRCWSSDTYNPFPGVLDNV 229
                                         *************************************************************************** PP

                           TIGR01692 225 PasngykgGfatalmlkdlglaqeaaksvkasvllGalarelyslfaskgagkkdfsavikllr 288
                                         P+s+gy+gGf+++lmlkdlgla eaak+v+++v lGala++ly+ f+++g+g++dfsa+i+ +r
  lcl|FitnessBrowser__psRCH2:GFF2390 230 PSSRGYSGGFGSDLMLKDLGLATEAAKQVRQPVILGALAQQLYQSFSAQGHGGLDFSAIINQYR 293
                                         *************************************************************998 PP



Internal pipeline statistics summary:
-------------------------------------
Query model(s):                            1  (288 nodes)
Target sequences:                          1  (296 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 0.01s 00:00:00.02 Elapsed: 00:00:00.01
# Mc/sec: 7.13
//
[ok]

This GapMind analysis is from Sep 17 2021. 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:

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:

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:

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