Alignments for a candidate for pcaD in Cupriavidus basilensis 4G11

GapMind for catabolism of small carbon sources

Alignments for a candidate for pcaD in Cupriavidus basilensis 4G11

Align Beta-ketoadipate enol-lactone hydrolase (EC 3.1.1.24) (characterized)
to candidate RR42_RS10690 RR42_RS10690 3-oxoadipate enol-lactonase

Query= reanno::pseudo3_N2E3:AO353_17230
         (266 letters)



>FitnessBrowser__Cup4G11:RR42_RS10690
          Length = 259

 Score =  288 bits (738), Expect = 6e-83
 Identities = 143/258 (55%), Positives = 181/258 (70%), Gaps = 3/258 (1%)

Query: 3   FVQLADGELKYQLDGPEHAPVLVLSNSLGTNLHMWDVQIPAFTKHFRVLRFDTRGHGRSL 62
           F +     L Y+LDG +  PVLVL+NSLGTNL MW+ QI AF KHFRVLR+DTRGHG+S 
Sbjct: 3   FAEFPGVRLHYRLDGDDTLPVLVLANSLGTNLDMWNPQIEAFAKHFRVLRYDTRGHGQSS 62

Query: 63  VTPGPYSIEQLGRDVLALLDALNIERAHFCGLSMGGLIGQWLGINAGERLHKLVVCNTAA 122
           VTPGPY+I QLG DV+ALLDAL I+RAHFCGLSMGG+ G WL +N   R  K+V+CNTAA
Sbjct: 63  VTPGPYTIPQLGEDVIALLDALKIDRAHFCGLSMGGITGMWLALNHAGRFDKVVLCNTAA 122

Query: 123 KIGDPSVWNPRIETVLRDGPAAMVALRDASIARWFTPDFAQANPAVAKQITDMLAATSPQ 182
            IG    W  R   V RDG   + ++ +A + +W TP +A   PA+ + +  ML+AT   
Sbjct: 123 YIGPAENWTNRAAAVERDG---VGSIANAVVDKWLTPGYAAGQPALVQLLQAMLSATDAA 179

Query: 183 GYAANCAAVRDADFREQLASITVPTLVIAGTEDAVTPPSGGRFIQERVRGAEYAEFYAAH 242
           GYAANC AVRD+D R+ +A IT PTLVIAG+ D  TPP  G+++ +++ GA YAE  AAH
Sbjct: 180 GYAANCRAVRDSDLRDAVAGITRPTLVIAGSGDIPTPPHDGQYLAQKIPGARYAELDAAH 239

Query: 243 LSNVQAGSAFSDRVLSFL 260
           LSN++    F+D VL FL
Sbjct: 240 LSNLEQVEGFTDAVLEFL 257


Lambda     K      H
   0.321    0.136    0.410 

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: 272
Number of extensions: 12
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: 266
Length of database: 259
Length adjustment: 25
Effective length of query: 241
Effective length of database: 234
Effective search space:    56394
Effective search space used:    56394
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 RR42_RS10690 RR42_RS10690 (3-oxoadipate enol-lactonase)
to HMM TIGR02427 (pcaD: 3-oxoadipate enol-lactonase (EC 3.1.1.24))

# 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/TIGR02427.hmm
# target sequence database:        /tmp/gapView.21672.genome.faa
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

Query:       TIGR02427  [M=251]
Accession:   TIGR02427
Description: protocat_pcaD: 3-oxoadipate enol-lactonase
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
    ------- ------ -----    ------- ------ -----   ---- --  --------                                 -----------
    1.6e-99  318.4   0.0    1.8e-99  318.2   0.0    1.0  1  lcl|FitnessBrowser__Cup4G11:RR42_RS10690  RR42_RS10690 3-oxoadipate enol-l


Domain annotation for each sequence (and alignments):
>> lcl|FitnessBrowser__Cup4G11:RR42_RS10690  RR42_RS10690 3-oxoadipate enol-lactonase
   #    score  bias  c-Evalue  i-Evalue hmmfrom  hmm to    alifrom  ali to    envfrom  env to     acc
 ---   ------ ----- --------- --------- ------- -------    ------- -------    ------- -------    ----
   1 !  318.2   0.0   1.8e-99   1.8e-99       1     251 []      10     258 ..      10     258 .. 0.99

  Alignments for each domain:
  == domain 1  score: 318.2 bits;  conditional E-value: 1.8e-99
                                 TIGR02427   1 rlhyrlegaeadkpvlvlinSLGtdlrlwdkvlealtkdfrvlryDkrGHGlSdvpegpysiedladdv 69 
                                               rlhyrl+g++   pvlvl nSLGt+l +w++++ea++k+frvlryD+rGHG+S+v+ gpy+i +l++dv
  lcl|FitnessBrowser__Cup4G11:RR42_RS10690  10 RLHYRLDGDD-TLPVLVLANSLGTNLDMWNPQIEAFAKHFRVLRYDTRGHGQSSVTPGPYTIPQLGEDV 77 
                                               69*******9.9********************************************************* PP

                                 TIGR02427  70 lallDalgiekaavcGlSlGGliaqaLaarrpdrvealvlsntaakigtaesWeaRiaavraeGlaala 138
                                               +allDal+i++a++cGlS+GG+++++La++++ r++++vl+ntaa ig ae W +R+aav+++G+ ++a
  lcl|FitnessBrowser__Cup4G11:RR42_RS10690  78 IALLDALKIDRAHFCGLSMGGITGMWLALNHAGRFDKVVLCNTAAYIGPAENWTNRAAAVERDGVGSIA 146
                                               ********************************************************************* PP

                                 TIGR02427 139 davlerwFtpafreaepaelelvrnmlveqppegYaatcaAirdadlrerleeiavPtlviaGdeDgst 207
                                               +av+++w tp++++ +pa ++l+++ml +++++gYaa+c A+rd dlr+++  i+ PtlviaG+ D+ t
  lcl|FitnessBrowser__Cup4G11:RR42_RS10690 147 NAVVDKWLTPGYAAGQPALVQLLQAMLSATDAAGYAANCRAVRDSDLRDAVAGITRPTLVIAGSGDIPT 215
                                               ********************************************************************* PP

                                 TIGR02427 208 PpelvreiadlvpgarfaeieeaaHlpnleqpeafaallrdflk 251
                                               Pp++ + +a+++pgar+ae++ aaHl+nleq e f++++ +fl+
  lcl|FitnessBrowser__Cup4G11:RR42_RS10690 216 PPHDGQYLAQKIPGARYAELD-AAHLSNLEQVEGFTDAVLEFLQ 258
                                               *********************.********************96 PP



Internal pipeline statistics summary:
-------------------------------------
Query model(s):                            1  (251 nodes)
Target sequences:                          1  (259 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: 9.38
//
[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