GapMind for catabolism of small carbon sources

 

Aligments for a candidate for mmsB in Shewanella sp. ANA-3

Align 3-hydroxyisobutyrate dehydrogenase; HIBADH; EC 1.1.1.31 (characterized)
to candidate 7025615 Shewana3_2766 3-hydroxyisobutyrate dehydrogenase (RefSeq)

Query= SwissProt::P28811
         (298 letters)



>FitnessBrowser__ANA3:7025615
          Length = 300

 Score =  327 bits (839), Expect = 2e-94
 Identities = 175/293 (59%), Positives = 209/293 (71%), Gaps = 5/293 (1%)

Query: 1   MTDIAFLGLGNMGGPMAANLLKAGHRVNVFDLQPKAVLGLVEQGAQGADSALQCCEGAEV 60
           M+ +AF+GLGNMGGPMAANLLKAG  V VFDL P A+  L +QGA  + +A     GA V
Sbjct: 1   MSTVAFIGLGNMGGPMAANLLKAGMTVRVFDLVPAAMQALADQGALVSSTACGAAAGANV 60

Query: 61  VISMLPAGQHVESLYLG---DDGLLARVAGKPLLIDCSTIAPETARKVAEAAAAKGLTLL 117
           VI+MLPAG+HV +LYLG   + GLL  VAG  LLIDCSTI  ++A+ VA  AA  G+  +
Sbjct: 61  VITMLPAGKHVRNLYLGNGSEKGLLEVVAGDTLLIDCSTIDAQSAQLVAAEAAKSGIEFI 120

Query: 118 DAPVSGGVGGARAGTLSFIVGGPAEGFARARPVLENMGRNIFHAGDHGAGQVAKICNNML 177
           DAPVSGG  GA AGTL+FI GG    F RA+PVL  MG+NIFHAG  GAGQVAKICNNML
Sbjct: 121 DAPVSGGTAGAAAGTLTFICGGSDIAFERAQPVLNAMGKNIFHAGGAGAGQVAKICNNML 180

Query: 178 LGILMAGTAEALALGVKNGLDPAVLSEVMKQSSGGNWALNLYNPWPGVMPQAPASNGYAG 237
           L +LM GT+EAL +G+ +GLDP VLS++MK SSGGNW L  YNP PGVM   P+S GY G
Sbjct: 181 LSVLMVGTSEALQMGIDHGLDPKVLSDIMKVSSGGNWTLEKYNPCPGVMENVPSSKGYQG 240

Query: 238 GFQVRLMNKDLGLALANAQAVQASTPLGALARNLFSLHAQADAEHEGLDFSSI 290
           GF V LM KDLGL+   A    +STP+G+LAR+L+  HA+        DFSSI
Sbjct: 241 GFMVDLMVKDLGLSQEAALLSNSSTPMGSLARSLYVNHARQGNGRR--DFSSI 291


Lambda     K      H
   0.317    0.135    0.395 

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: 332
Number of extensions: 8
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: 298
Length of database: 300
Length adjustment: 27
Effective length of query: 271
Effective length of database: 273
Effective search space:    73983
Effective search space used:    73983
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 7025615 Shewana3_2766 (3-hydroxyisobutyrate dehydrogenase (RefSeq))
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.25611.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
    ------- ------ -----    ------- ------ -----   ---- --  --------                         -----------
   4.5e-126  406.0  10.5     5e-126  405.9  10.5    1.0  1  lcl|FitnessBrowser__ANA3:7025615  Shewana3_2766 3-hydroxyisobutyra


Domain annotation for each sequence (and alignments):
>> lcl|FitnessBrowser__ANA3:7025615  Shewana3_2766 3-hydroxyisobutyrate dehydrogenase (RefSeq)
   #    score  bias  c-Evalue  i-Evalue hmmfrom  hmm to    alifrom  ali to    envfrom  env to     acc
 ---   ------ ----- --------- --------- ------- -------    ------- -------    ------- -------    ----
   1 !  405.9  10.5    5e-126    5e-126       1     285 [.       6     293 ..       6     296 .. 0.98

  Alignments for each domain:
  == domain 1  score: 405.9 bits;  conditional E-value: 5e-126
                         TIGR01692   1 fiGlGnmGgpmaanllkaghavrvfdlsakaveelveaGaqaaasaaeaveeadvvitmlPagkhvesvyag...de 74 
                                       fiGlGnmGgpmaanllkag +vrvfdl ++a++ l ++Ga ++++a  a+++a+vvitmlPagkhv+++y+g   ++
  lcl|FitnessBrowser__ANA3:7025615   6 FIGLGNMGGPMAANLLKAGMTVRVFDLVPAAMQALADQGALVSSTACGAAAGANVVITMLPAGKHVRNLYLGngsEK 82 
                                       9*********************************************************************9733357 PP

                         TIGR01692  75 gilakvkkksllidsstidvdsarkvaeeaaakGavfldaPvsGGvggaraGtltfmvGgeaeefaraepvleamgk 151
                                       g+l+ v++++llid+stid++sa+ va+eaa+ G  f+daPvsGG++ga+aGtltf+ Gg++ +f+ra+pvl+amgk
  lcl|FitnessBrowser__ANA3:7025615  83 GLLEVVAGDTLLIDCSTIDAQSAQLVAAEAAKSGIEFIDAPVSGGTAGAAAGTLTFICGGSDIAFERAQPVLNAMGK 159
                                       9**************************************************************************** PP

                         TIGR01692 152 nivhaGdaGaGqaakiCnnlllgismiGvaealalgeklGldpkvlaeilskssGrcWsldtynPvPGvveqaPasn 228
                                       ni+haG+aGaGq+akiCnn+ll++ m+G++eal++g+  Gldpkvl++i++ ssG +W+l+ ynP PGv+e++P+s+
  lcl|FitnessBrowser__ANA3:7025615 160 NIFHAGGAGAGQVAKICNNMLLSVLMVGTSEALQMGIDHGLDPKVLSDIMKVSSGGNWTLEKYNPCPGVMENVPSSK 236
                                       ***************************************************************************** PP

                         TIGR01692 229 gykgGfatalmlkdlglaqeaaksvkasvllGalarelyslfaskgagkkdfsavik 285
                                       gy+gGf ++lm+kdlgl+qeaa   ++s+++G+lar ly  +a +g g++dfs++++
  lcl|FitnessBrowser__ANA3:7025615 237 GYQGGFMVDLMVKDLGLSQEAALLSNSSTPMGSLARSLYVNHARQGNGRRDFSSIFE 293
                                       *******************************************************97 PP



Internal pipeline statistics summary:
-------------------------------------
Query model(s):                            1  (288 nodes)
Target sequences:                          1  (300 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: 10.11
//
[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