Alignments for a candidate for tpi in Shewanella amazonensis SB2B

GapMind for catabolism of small carbon sources

Alignments for a candidate for tpi in Shewanella amazonensis SB2B

Align triose-phosphate isomerase (EC 5.3.1.1) (characterized)
to candidate 6936772 Sama_0957 Triose-phosphate isomerase (RefSeq)

Query= BRENDA::P0A858
         (255 letters)



>FitnessBrowser__SB2B:6936772
          Length = 260

 Score =  243 bits (620), Expect = 3e-69
 Identities = 121/259 (46%), Positives = 170/259 (65%), Gaps = 8/259 (3%)

Query: 1   MRHPLVMGNWKLNGSRHMVHELVSNLRKELAGVAGCAVAIAPPEMYIDMAKREAE----- 55
           +R P+V GNWK+NGS  +  EL      +L   +   V + PP +Y++  ++  E     
Sbjct: 3   LRRPMVAGNWKMNGSAALAQELFKKFAVKLQNDSA-EVVLCPPTIYLESVRQLLEANKEA 61

Query: 56  --GSHIMLGAQNVDLNLSGAFTGETSAAMLKDIGAQYIIIGHSERRTYHKESDELIAKKF 113
             G  + +GAQN+  +  GA+TGE S  MLKD G +Y+I+GHSERR  + E+ +++A+KF
Sbjct: 62  LNGCLVRMGAQNLSQHDFGAYTGEISGQMLKDSGCRYVIVGHSERRRMYGETSDIVAEKF 121

Query: 114 AVLKEQGLTPVLCIGETEAENEAGKTEEVCARQIDAVLKTQGAAAFEGAVIAYEPVWAIG 173
           A  ++ GLTP+LC+GE+    EA +T EV A ++D V++  G  AF+ A+IAYEP+WA+G
Sbjct: 122 AAAQKHGLTPILCVGESGPAREARRTFEVIAEELDVVIEKNGTMAFDNAIIAYEPLWAVG 181

Query: 174 TGKSATPAQAQAVHKFIRDHIAKVDANIAEQVIIQYGGSVNASNAAELFAQPDIDGALVG 233
           TGKSATP QAQ VH FIR  +++V   I E V I YGGSV  SNAA+LFAQPD+DG L+G
Sbjct: 182 TGKSATPEQAQEVHAFIRRRLSEVSPFIGENVRILYGGSVTPSNAADLFAQPDVDGGLIG 241

Query: 234 GASLKADAFAVIVKAAEAA 252
           GASL +  F  +   A +A
Sbjct: 242 GASLNSTEFLTLCSIAMSA 260


Lambda     K      H
   0.316    0.130    0.366 

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: 194
Number of extensions: 6
Number of successful extensions: 2
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: 255
Length of database: 260
Length adjustment: 24
Effective length of query: 231
Effective length of database: 236
Effective search space:    54516
Effective search space used:    54516
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: 47 (22.7 bits)

Align candidate 6936772 Sama_0957 (Triose-phosphate isomerase (RefSeq))
to HMM TIGR00419 (tpiA: triose-phosphate isomerase (EC 5.3.1.1))

# 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/TIGR00419.hmm
# target sequence database:        /tmp/gapView.24914.genome.faa
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

Query:       TIGR00419  [M=228]
Accession:   TIGR00419
Description: tim: triose-phosphate isomerase
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
    ------- ------ -----    ------- ------ -----   ---- --  --------                         -----------
    9.2e-69  217.7   0.0    1.1e-68  217.4   0.0    1.1  1  lcl|FitnessBrowser__SB2B:6936772  Sama_0957 Triose-phosphate isome


Domain annotation for each sequence (and alignments):
>> lcl|FitnessBrowser__SB2B:6936772  Sama_0957 Triose-phosphate isomerase (RefSeq)
   #    score  bias  c-Evalue  i-Evalue hmmfrom  hmm to    alifrom  ali to    envfrom  env to     acc
 ---   ------ ----- --------- --------- ------- -------    ------- -------    ------- -------    ----
   1 !  217.4   0.0   1.1e-68   1.1e-68       1     226 [.       7     246 ..       7     248 .. 0.93

  Alignments for each domain:
  == domain 1  score: 217.4 bits;  conditional E-value: 1.1e-68
                         TIGR00419   1 lviinfKlnesvgkvelevaklaeevaseagvevavappfvdldvvkdevese........iqvaAqnvdavksGaf 69 
                                       +v +n+K+n+s    +++  k a ++ + +  ev++ pp ++l+ v++ +e++        ++++Aqn+  +++Ga+
  lcl|FitnessBrowser__SB2B:6936772   7 MVAGNWKMNGSAALAQELFKKFAVKLQN-DSAEVVLCPPTIYLESVRQLLEANkealngclVRMGAQNLSQHDFGAY 82 
                                       699**********************975.66899**********99876553222334444899************* PP

                         TIGR00419  70 tGeisAemlkdlGakgvligHsErRsllkeadeliekkvarlkelglksvvCvgetleere.......aartinnva 139
                                       tGeis +mlkd G+++v++gHsErR +  e+++++++k+a +++ gl++++Cvge+   re        a+++++v 
  lcl|FitnessBrowser__SB2B:6936772  83 TGEISGQMLKDSGCRYVIVGHSERRRMYGETSDIVAEKFAAAQKHGLTPILCVGESGPAREarrtfevIAEELDVVI 159
                                       *************************99999999***********************999998888888899999999 PP

                         TIGR00419 140 ttaaaaAlepdvvAvEPveliGtGkpvskAeaevveksvrdhlkkvskevaesvrvlyGasvtaaedaelaaqldvd 216
                                       ++++++A++++++A+EP +++GtGk++++ +a++v++++r  l++vs+ + e+vr+lyG+svt +++a+l+aq+dvd
  lcl|FitnessBrowser__SB2B:6936772 160 EKNGTMAFDNAIIAYEPLWAVGTGKSATPEQAQEVHAFIRRRLSEVSPFIGENVRILYGGSVTPSNAADLFAQPDVD 236
                                       9**************************************************************************** PP

                         TIGR00419 217 GvLlasavlk 226
                                       G L+++a+l 
  lcl|FitnessBrowser__SB2B:6936772 237 GGLIGGASLN 246
                                       *******996 PP



Internal pipeline statistics summary:
-------------------------------------
Query model(s):                            1  (228 nodes)
Target sequences:                          1  (260 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: 7.25
//
[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:

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

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