GapMind for catabolism of small carbon sources

 

Alignments for a candidate for hutG' in Pseudomonas fluorescens FW300-N2E2

Align N-formylglutamate deformylase (EC 3.5.1.68) (characterized)
to candidate Pf6N2E2_3797 N-formylglutamate deformylase (EC 3.5.1.68)

Query= reanno::pseudo6_N2E2:Pf6N2E2_3797
         (267 letters)



>FitnessBrowser__pseudo6_N2E2:Pf6N2E2_3797
          Length = 267

 Score =  548 bits (1413), Expect = e-161
 Identities = 267/267 (100%), Positives = 267/267 (100%)

Query: 1   VEKVLNFMQGRVPLLISMPHAGLRLTPAVQAGLIPEAQSLPDTDWHIPRLYEFAAELGAS 60
           VEKVLNFMQGRVPLLISMPHAGLRLTPAVQAGLIPEAQSLPDTDWHIPRLYEFAAELGAS
Sbjct: 1   VEKVLNFMQGRVPLLISMPHAGLRLTPAVQAGLIPEAQSLPDTDWHIPRLYEFAAELGAS 60

Query: 61  TLAAEYSRFVVDLNRPSDDKPMYVGATTGLYPATLFDGVPLFRQGLEPSAEERARYLQQI 120
           TLAAEYSRFVVDLNRPSDDKPMYVGATTGLYPATLFDGVPLFRQGLEPSAEERARYLQQI
Sbjct: 61  TLAAEYSRFVVDLNRPSDDKPMYVGATTGLYPATLFDGVPLFRQGLEPSAEERARYLQQI 120

Query: 121 WMPYHQALQQELARLKAEFGYALLFDAHSIRSVIPHLFDGKLPDFNLGTFNGASCDPTLA 180
           WMPYHQALQQELARLKAEFGYALLFDAHSIRSVIPHLFDGKLPDFNLGTFNGASCDPTLA
Sbjct: 121 WMPYHQALQQELARLKAEFGYALLFDAHSIRSVIPHLFDGKLPDFNLGTFNGASCDPTLA 180

Query: 181 SQLEAICARHGQFTHVLNGRFKGGHITRHYGNPAEDIHAVQLELCQSTYMEEYEPFNYRA 240
           SQLEAICARHGQFTHVLNGRFKGGHITRHYGNPAEDIHAVQLELCQSTYMEEYEPFNYRA
Sbjct: 181 SQLEAICARHGQFTHVLNGRFKGGHITRHYGNPAEDIHAVQLELCQSTYMEEYEPFNYRA 240

Query: 241 DLAEPTQVVLRQLLEGLLAWGRQAYKH 267
           DLAEPTQVVLRQLLEGLLAWGRQAYKH
Sbjct: 241 DLAEPTQVVLRQLLEGLLAWGRQAYKH 267


Lambda     K      H
   0.322    0.138    0.425 

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: 429
Number of extensions: 9
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: 267
Length of database: 267
Length adjustment: 25
Effective length of query: 242
Effective length of database: 242
Effective search space:    58564
Effective search space used:    58564
Neighboring words threshold: 11
Window for multiple hits: 40
X1: 16 ( 7.4 bits)
X2: 38 (14.6 bits)
X3: 64 (24.7 bits)
S1: 41 (21.9 bits)
S2: 47 (22.7 bits)

Align candidate Pf6N2E2_3797 (N-formylglutamate deformylase (EC 3.5.1.68))
to HMM TIGR02017 (hutG: N-formylglutamate deformylase (EC 3.5.1.68))

# 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/TIGR02017.hmm
# target sequence database:        /tmp/gapView.11258.genome.faa
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

Query:       TIGR02017  [M=263]
Accession:   TIGR02017
Description: hutG_amidohyd: N-formylglutamate deformylase
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
    ------- ------ -----    ------- ------ -----   ---- --  --------                                      -----------
   4.6e-123  395.8   0.0   5.3e-123  395.6   0.0    1.0  1  lcl|FitnessBrowser__pseudo6_N2E2:Pf6N2E2_3797  N-formylglutamate deformylase (E


Domain annotation for each sequence (and alignments):
>> lcl|FitnessBrowser__pseudo6_N2E2:Pf6N2E2_3797  N-formylglutamate deformylase (EC 3.5.1.68)
   #    score  bias  c-Evalue  i-Evalue hmmfrom  hmm to    alifrom  ali to    envfrom  env to     acc
 ---   ------ ----- --------- --------- ------- -------    ------- -------    ------- -------    ----
   1 !  395.6   0.0  5.3e-123  5.3e-123       2     263 .]       4     263 ..       3     263 .. 0.99

  Alignments for each domain:
  == domain 1  score: 395.6 bits;  conditional E-value: 5.3e-123
                                      TIGR02017   2 alevqrGkaPllislPhtGtdltdavesrlvsaakalkdtdWhieklydfardlGatvvraais 65 
                                                    +l++ +G++Pllis+Ph+G++lt+av+++l  +a++l dtdWhi +ly+fa +lGa++++a++s
  lcl|FitnessBrowser__pseudo6_N2E2:Pf6N2E2_3797   4 VLNFMQGRVPLLISMPHAGLRLTPAVQAGLIPEAQSLPDTDWHIPRLYEFAAELGASTLAAEYS 67 
                                                    7899************************************************************ PP

                                      TIGR02017  66 rlvidvnrdpsgaslypgqattgliPettfdgeplykdGeaPseaeikkrltkyfkPyhaalra 129
                                                    r+v+d+nr+ +++++y+g attgl+P+t+fdg pl+++G +Ps++e++++l++++ Pyh+al++
  lcl|FitnessBrowser__pseudo6_N2E2:Pf6N2E2_3797  68 RFVVDLNRPSDDKPMYVG-ATTGLYPATLFDGVPLFRQGLEPSAEERARYLQQIWMPYHQALQQ 130
                                                    ******************.********************************************* PP

                                      TIGR02017 130 eierlralhgkivlydahsirsviPrlfeGklPdfnlGtndgkscdpaladaveavcakakgls 193
                                                    e++rl+a +g+++l+dahsirsviP+lf+GklPdfnlGt++g+scdp+la+++ea+ca+   ++
  lcl|FitnessBrowser__pseudo6_N2E2:Pf6N2E2_3797 131 ELARLKAEFGYALLFDAHSIRSVIPHLFDGKLPDFNLGTFNGASCDPTLASQLEAICARHGQFT 194
                                                    **************************************************************** PP

                                      TIGR02017 194 svlnGrfkGGyitrhygqPqngvhavqlelaqrgyleeetePvaydeakaealravlkelleal 257
                                                    +vlnGrfkGG+itrhyg+P++++havqlel+q++y+e e eP+ y+++ ae++++vl++lle l
  lcl|FitnessBrowser__pseudo6_N2E2:Pf6N2E2_3797 195 HVLNGRFKGGHITRHYGNPAEDIHAVQLELCQSTYME-EYEPFNYRADLAEPTQVVLRQLLEGL 257
                                                    ************************************9.************************** PP

                                      TIGR02017 258 ldfaee 263
                                                    l+++++
  lcl|FitnessBrowser__pseudo6_N2E2:Pf6N2E2_3797 258 LAWGRQ 263
                                                    ***975 PP



Internal pipeline statistics summary:
-------------------------------------
Query model(s):                            1  (263 nodes)
Target sequences:                          1  (267 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 0.01s 00:00:00.01 Elapsed: 00:00:00.01
# Mc/sec: 6.63
//
[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