GapMind for catabolism of small carbon sources

 

Aligments for a candidate for catA in Klebsiella michiganensis M5al

Align Catechol 1,2-dioxygenase (EC 1.13.11.1) (characterized)
to candidate BWI76_RS13700 BWI76_RS13700 catechol 1,2-dioxygenase

Query= reanno::pseudo3_N2E3:AO353_23525
         (309 letters)



>FitnessBrowser__Koxy:BWI76_RS13700
          Length = 308

 Score =  366 bits (940), Expect = e-106
 Identities = 176/299 (58%), Positives = 223/299 (74%)

Query: 10  SAQKFLEEASGLLNDAGNPRAKALIYRILRDSVNIIEDLEVTPEEFWKAVNYLNELGARQ 69
           + Q  L E++GL    G+ R K +I+R+L +   +I+D  +T EEFW AVNYL+ELG RQ
Sbjct: 10  AVQNLLRESAGLNISGGDERFKTIIHRLLENICTLIDDYNITEEEFWHAVNYLHELGGRQ 69

Query: 70  EAGLLVAGLGLEHYLDLLMDAEDAQAGKTGGTPRTIEGPLYVAGAPLSNGEARLDDGVDP 129
           EA LL AGLGLEH+LDL  DA DA   +  GTPRTIEGPLYVA APL++G  R+DDG D 
Sbjct: 70  EAALLAAGLGLEHFLDLRQDAIDAAEQRETGTPRTIEGPLYVANAPLADGHTRMDDGKDA 129

Query: 130 GVVLFMQGQVKNTDGKPLAGAVVDVWHANTGGTYSYFDGSQSEFNLRRRIVTDAEGRYRF 189
           G V+++ GQV +T G+P+A A+VD+WHANT G YS+FD SQSE+NLRRRI T A+GRY  
Sbjct: 130 GEVMWLYGQVNDTQGRPVANAIVDIWHANTLGNYSFFDKSQSEYNLRRRIRTGADGRYSV 189

Query: 190 RSIVPSGYGCPPDGPTQQLLDQLGRHGQRPAHIHFFISADDHRHLTTQINLDGDKYLHDD 249
           RSI+PSGYGCPPDGPTQ+LL+QLGRHG RPAHIHFF+SA  ++HLT+QINL+GDKYL DD
Sbjct: 190 RSIMPSGYGCPPDGPTQKLLNQLGRHGNRPAHIHFFVSAPGYKHLTSQINLNGDKYLWDD 249

Query: 250 FAYATRDELIAKITFSDDQQRAREHGVSGRFAEIEFDFTLQSSAQPEEQHRHERVRALE 308
           FA+ATRD LIA      D++  ++  + G   E+ FDFTL  +   +E+ R  R+RA E
Sbjct: 250 FAFATRDGLIADPVKVSDRELIQQRELDGEHTEVRFDFTLCKALNADEEQRGTRLRAQE 308


Lambda     K      H
   0.317    0.136    0.401 

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: 345
Number of extensions: 6
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: 309
Length of database: 308
Length adjustment: 27
Effective length of query: 282
Effective length of database: 281
Effective search space:    79242
Effective search space used:    79242
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: 48 (23.1 bits)

Align candidate BWI76_RS13700 BWI76_RS13700 (catechol 1,2-dioxygenase)
to HMM TIGR02439 (catA: catechol 1,2-dioxygenase (EC 1.13.11.1))

# 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/TIGR02439.hmm
# target sequence database:        /tmp/gapView.17988.genome.faa
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

Query:       TIGR02439  [M=285]
Accession:   TIGR02439
Description: catechol_proteo: catechol 1,2-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
    ------- ------ -----    ------- ------ -----   ---- --  --------                               -----------
   1.1e-139  450.2   0.1   1.3e-139  450.0   0.1    1.0  1  lcl|FitnessBrowser__Koxy:BWI76_RS13700  BWI76_RS13700 catechol 1,2-dioxy


Domain annotation for each sequence (and alignments):
>> lcl|FitnessBrowser__Koxy:BWI76_RS13700  BWI76_RS13700 catechol 1,2-dioxygenase
   #    score  bias  c-Evalue  i-Evalue hmmfrom  hmm to    alifrom  ali to    envfrom  env to     acc
 ---   ------ ----- --------- --------- ------- -------    ------- -------    ------- -------    ----
   1 !  450.0   0.1  1.3e-139  1.3e-139       4     285 .]      10     289 ..       7     289 .. 0.99

  Alignments for each domain:
  == domain 1  score: 450.0 bits;  conditional E-value: 1.3e-139
                               TIGR02439   4 evqallkkvagleqeggnarikqivlrvlsdlfkaiedlditedefwaaveylnklGqanelgllaaGlGl 74 
                                              vq+ll++ agl+ +gg++r+k i++r+l+++  +i+d++ite+efw+av+yl +lG ++e++llaaGlGl
  lcl|FitnessBrowser__Koxy:BWI76_RS13700  10 AVQNLLRESAGLNISGGDERFKTIIHRLLENICTLIDDYNITEEEFWHAVNYLHELGGRQEAALLAAGLGL 80 
                                             69********************************************************************* PP

                               TIGR02439  75 ehfldlrldaadakagleggtPrtieGPlyvaGapvseGfarlddgseddkaetlvlkGqvldaeGkpiag 145
                                             ehfldlr+da+da++++e gtPrtieGPlyva ap+++G++r+ddg+  d +e+++l Gqv d++G+p+a+
  lcl|FitnessBrowser__Koxy:BWI76_RS13700  81 EHFLDLRQDAIDAAEQRETGTPRTIEGPLYVANAPLADGHTRMDDGK--DAGEVMWLYGQVNDTQGRPVAN 149
                                             **********************************************9..668******************* PP

                               TIGR02439 146 akvevwhanskGnysffdksqsefnlrrtiitdaeGkyrarsvvPvGygvppqgptqqllnllGrhGerPa 216
                                             a+v++whan+ Gnysffdksqse+nlrr+i+t+a+G+y++rs++P+Gyg+pp+gptq+lln+lGrhG+rPa
  lcl|FitnessBrowser__Koxy:BWI76_RS13700 150 AIVDIWHANTLGNYSFFDKSQSEYNLRRRIRTGADGRYSVRSIMPSGYGCPPDGPTQKLLNQLGRHGNRPA 220
                                             *********************************************************************** PP

                               TIGR02439 217 hvhffvsapgyrklttqinlegdkylyddfafatreglvaevkevedaaaakrrgvegrfaeiefdlel 285
                                             h+hffvsapgy++lt+qinl+gdkyl+ddfafatr+gl+a+  +v+d + +++r+++g+++e+ fd++l
  lcl|FitnessBrowser__Koxy:BWI76_RS13700 221 HIHFFVSAPGYKHLTSQINLNGDKYLWDDFAFATRDGLIADPVKVSDRELIQQRELDGEHTEVRFDFTL 289
                                             *******************************************************************87 PP



Internal pipeline statistics summary:
-------------------------------------
Query model(s):                            1  (285 nodes)
Target sequences:                          1  (308 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: 10.49
//
[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