Alignments for a candidate for hutI in Shewanella amazonensis SB2B

GapMind for catabolism of small carbon sources

Alignments for a candidate for hutI in Shewanella amazonensis SB2B

Align Imidazolonepropionase (EC 3.5.2.7) (characterized)
to candidate 6935865 Sama_0080 imidazolonepropionase (RefSeq)

Query= reanno::MR1:199292
         (408 letters)



>FitnessBrowser__SB2B:6935865
          Length = 412

 Score =  685 bits (1768), Expect = 0.0
 Identities = 335/412 (81%), Positives = 374/412 (90%), Gaps = 4/412 (0%)

Query: 1   MSWDQVWIDVNVATMDPSISAPYGAITHAAIAVKDGKIAWLGPRSELPAFDVLSIPVYRG 60
           MSWDQVWID+N+ATMDPS++  YGAIT AA+AVKDGKIAWLG RS+LP FDVL+ PV+RG
Sbjct: 1   MSWDQVWIDINIATMDPSMNEAYGAITDAALAVKDGKIAWLGKRSDLPEFDVLATPVHRG 60

Query: 61  KGGWITPGLIDAHTHLVFAGNRANEFELRLKGATYEEIARAGGGIISTVNACREADEAAL 120
            GGW+TPGLIDAHTHLVFAGNRANEFELRL+GA+YEEIARAGGGI+STV ACR+ADEA L
Sbjct: 61  HGGWLTPGLIDAHTHLVFAGNRANEFELRLQGASYEEIARAGGGIVSTVKACRDADEAEL 120

Query: 121 FELGRQRLNALAKEGVTTVEIKSGYGLDTETELKILRVARELGKHHHVDVKTTFLGAHAV 180
           F+L R+RLNALAKEGVTTVEIKSGYGLD +TELK+LRVARELG+HHHVDV TTFLGAHAV
Sbjct: 121 FDLARRRLNALAKEGVTTVEIKSGYGLDLDTELKLLRVARELGQHHHVDVVTTFLGAHAV 180

Query: 181 PPEYK----GNSDGYVDLIINKMLPAVIKENLADAVDVFCENIAFNLEQTERVLSAAKAA 236
           PPE+K      +D YVDL++N+MLPAV+ ENLADA DVFCENIAFNLEQTERVLSAAK  
Sbjct: 181 PPEFKTLGEAGTDAYVDLVVNEMLPAVVAENLADAADVFCENIAFNLEQTERVLSAAKTL 240

Query: 237 GLQVKLHAEQLSNMGGSELAARLGAKSVDHIEYLDEAGVKALSESGTCAVLLPGAFYFLR 296
           GL +KLHAEQLSN+GGSELAARLGAKSVDHIEYLDEAGVKA+++SGTCAVLLPGAFYFLR
Sbjct: 241 GLDIKLHAEQLSNLGGSELAARLGAKSVDHIEYLDEAGVKAIAQSGTCAVLLPGAFYFLR 300

Query: 297 ETQKPPIDLLRQYGVPMVLASDFNPGSFPICSTLLMLNMGCTLFRLTPEEALAGLTLNAA 356
           ET+ PPIDLLRQY VPMVLASDFNPGS PICSTLLMLNMGCTLFRLTPEEALAG+T NAA
Sbjct: 301 ETKLPPIDLLRQYQVPMVLASDFNPGSSPICSTLLMLNMGCTLFRLTPEEALAGVTRNAA 360

Query: 357 KALGIEDKVGSLVVGKQADFCLWNIATPAQLAYSYGVNPCKDVVKNGKLVHQ 408
           +ALG + +VG L  G +ADFCLW I+TPA+LAYSYGVNP  DVVK G+L+HQ
Sbjct: 361 RALGRDQRVGVLREGMEADFCLWRISTPAELAYSYGVNPLVDVVKGGRLIHQ 412


Lambda     K      H
   0.319    0.136    0.402 

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: 633
Number of extensions: 14
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: 408
Length of database: 412
Length adjustment: 31
Effective length of query: 377
Effective length of database: 381
Effective search space:   143637
Effective search space used:   143637
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 (21.7 bits)
S2: 50 (23.9 bits)

Align candidate 6935865 Sama_0080 (imidazolonepropionase (RefSeq))
to HMM TIGR01224 (hutI: imidazolonepropionase (EC 3.5.2.7))

# 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/TIGR01224.hmm
# target sequence database:        /tmp/gapView.8511.genome.faa
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

Query:       TIGR01224  [M=377]
Accession:   TIGR01224
Description: hutI: imidazolonepropionase
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
    ------- ------ -----    ------- ------ -----   ---- --  --------                         -----------
   5.7e-148  478.7   0.0   6.5e-148  478.5   0.0    1.0  1  lcl|FitnessBrowser__SB2B:6935865  Sama_0080 imidazolonepropionase 


Domain annotation for each sequence (and alignments):
>> lcl|FitnessBrowser__SB2B:6935865  Sama_0080 imidazolonepropionase (RefSeq)
   #    score  bias  c-Evalue  i-Evalue hmmfrom  hmm to    alifrom  ali to    envfrom  env to     acc
 ---   ------ ----- --------- --------- ------- -------    ------- -------    ------- -------    ----
   1 !  478.5   0.0  6.5e-148  6.5e-148       2     376 ..      27     408 ..      26     409 .. 0.97

  Alignments for each domain:
  == domain 1  score: 478.5 bits;  conditional E-value: 6.5e-148
                         TIGR01224   2 edaailveegkiaaigqkaalpge..eaakiidleGklvvPGlvDpHtHlvfagdRvkefelklqGasYleilaeGg 76 
                                        daa++v++gkia++g++++lp     a+ ++  +G+  +PGl+D+HtHlvfag+R++efel+lqGasY+ei+++Gg
  lcl|FitnessBrowser__SB2B:6935865  27 TDAALAVKDGKIAWLGKRSDLPEFdvLATPVHRGHGGWLTPGLIDAHTHLVFAGNRANEFELRLQGASYEEIARAGG 103
                                       689*******************9844578889999****************************************** PP

                         TIGR01224  77 GilstvratraAseeellkeaeerlkkllrsGtttlEvKsGYGLdleaElkmLrvikalkeelpvdvvttflgaHav 153
                                       Gi+stv+a r+A+e+el++ a+ rl+ l ++G+tt+E+KsGYGLdl++Elk+Lrv+++l ++++vdvvttflgaHav
  lcl|FitnessBrowser__SB2B:6935865 104 GIVSTVKACRDADEAELFDLARRRLNALAKEGVTTVEIKSGYGLDLDTELKLLRVARELGQHHHVDVVTTFLGAHAV 180
                                       ***************************************************************************** PP

                         TIGR01224 154 Pkevq....ededeyvdaileelipkvaeeklaeavDvFcekgvFsveqsrrilkaaqeaGlavklHaeelkalgga 226
                                       P+e++    +  d+yvd +++e++p+v  e+la+a+DvFce+ +F+ eq++r+l+aa+  Gl +klHae+l++lgg+
  lcl|FitnessBrowser__SB2B:6935865 181 PPEFKtlgeAGTDAYVDLVVNEMLPAVVAENLADAADVFCENIAFNLEQTERVLSAAKTLGLDIKLHAEQLSNLGGS 257
                                       ***9733324569**************************************************************** PP

                         TIGR01224 227 elaaklgavsadHleeasdedikalaeagtvavlLPgtaflLr.eaapparklidekvivalatDlnPgsspllslq 302
                                       elaa+lga s+dH+e+++++++ka+a++gt avlLPg++++Lr ++ pp++ l++++v++ la+D+nPgssp+ s+ 
  lcl|FitnessBrowser__SB2B:6935865 258 ELAARLGAKSVDHIEYLDEAGVKAIAQSGTCAVLLPGAFYFLReTKLPPIDLLRQYQVPMVLASDFNPGSSPICSTL 334
                                       *******************************************8889****************************** PP

                         TIGR01224 303 lilslavtllkltaeealaaatvnaAqalglgeekGtleeGkdadlvvlsaesyeeiaYrlgvnvveaviknGe 376
                                       l+l++++tl++lt+eeala++t naA alg+ ++ G l+eG +ad+ ++ ++ ++e+aY +gvn +  v+k G 
  lcl|FitnessBrowser__SB2B:6935865 335 LMLNMGCTLFRLTPEEALAGVTRNAARALGRDQRVGVLREGMEADFCLWRISTPAELAYSYGVNPLVDVVKGGR 408
                                       ****************************************************************9999998885 PP



Internal pipeline statistics summary:
-------------------------------------
Query model(s):                            1  (377 nodes)
Target sequences:                          1  (412 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: 00:00:00.01
# Mc/sec: 9.92
//
[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