Alignments for a candidate for ackA in Klebsiella variicola At-22

GapMind for catabolism of small carbon sources

Alignments for a candidate for ackA in Klebsiella variicola At-22

Align Probable propionate kinase; EC 2.7.2.15 (characterized)
to candidate WP_012967292.1 KVAR_RS04255 acetate/propionate family kinase

Query= SwissProt::P74879
         (404 letters)



>NCBI__GCF_000025465.1:WP_012967292.1
          Length = 404

 Score =  644 bits (1660), Expect = 0.0
 Identities = 318/404 (78%), Positives = 360/404 (89%)

Query: 1   MSYKIMAINAGSSSLKFQLLEMPQGDMLCQGLIERIGMADAQVTIKTHSQKWQETVPVAD 60
           M+YKIMAINAGSSSLKFQLL MPQG +LCQGLIERIG+ +A+ T+KT +QKWQET+P+AD
Sbjct: 1   MTYKIMAINAGSSSLKFQLLNMPQGALLCQGLIERIGLPEARFTLKTPTQKWQETLPIAD 60

Query: 61  HRDAVTLLLEKLLGYQIINSLRDIDGVGHRVAHGGEFFKDSTLVTDETLAQIERLAELAP 120
           H +AVTLLLE L G  I++SL++IDGVGHRVAHGGE FKD+ LV D+TL +IERLAELAP
Sbjct: 61  HHEAVTLLLEALTGRGILSSLQEIDGVGHRVAHGGERFKDAALVCDDTLREIERLAELAP 120

Query: 121 LHNPVNALGIHVFRQLLPDAPSVAVFDTAFHQTLDEPAYIYPLPWHYYAELGIRRYGFHG 180
           LHNPVNALGI +FRQLLP  P+VAVFDTAFHQTL   A++YPLPW YYAELGIRRYGFHG
Sbjct: 121 LHNPVNALGIRLFRQLLPAVPAVAVFDTAFHQTLKPEAWLYPLPWRYYAELGIRRYGFHG 180

Query: 181 TSHKYVSGVLAEKLGVPLSALRVICCHLGNGSSICAIKNGRSVNTSMGFTPQSGVMMGTR 240
           TSH YVS  LAEKLGVPLSALRV+ CHLGNG S+CAIK G+SVNTSMGFTPQSGVMMGTR
Sbjct: 181 TSHHYVSSALAEKLGVPLSALRVVSCHLGNGCSVCAIKGGQSVNTSMGFTPQSGVMMGTR 240

Query: 241 SGDIDPSILPWIAQRESKTPQQLNQLLNNESGLLGVSGVSSDYRDVEQAANTGNRQAKLA 300
           SGDIDPSILPW+ ++E K+  QL+QLLNNESGLLGVSGVSSDYRDVEQAA+ GN +A LA
Sbjct: 241 SGDIDPSILPWLVEKEGKSALQLSQLLNNESGLLGVSGVSSDYRDVEQAADAGNERAALA 300

Query: 301 LTLFAERIRATIGSYIMQMGGLDALVFTGGIGENSARARSAVCHNLQFLGLAVDEEKNQR 360
           L+LFAERIRATIGSYIMQMGGLDAL+FTGGIGE+SARAR+ +C NL FLGLA+D+EKNQR
Sbjct: 301 LSLFAERIRATIGSYIMQMGGLDALIFTGGIGEHSARARATICRNLHFLGLALDDEKNQR 360

Query: 361 NATFIQTENALVKVAVINTNEELMIAQDVMRIALPATEGLCVPA 404
           +ATFIQ +NALVKVAVINTNEELMIA+DVMR+ALP    L V A
Sbjct: 361 SATFIQADNALVKVAVINTNEELMIARDVMRLALPQARELAVSA 404


Lambda     K      H
   0.319    0.135    0.392 

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: 571
Number of extensions: 12
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: 404
Length of database: 404
Length adjustment: 31
Effective length of query: 373
Effective length of database: 373
Effective search space:   139129
Effective search space used:   139129
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 (21.8 bits)
S2: 50 (23.9 bits)

Align candidate WP_012967292.1 KVAR_RS04255 (acetate/propionate family kinase)
to HMM TIGR00016 (ackA: acetate kinase (EC 2.7.2.1))

# 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/TIGR00016.hmm
# target sequence database:        /tmp/gapView.1104338.genome.faa
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

Query:       TIGR00016  [M=405]
Accession:   TIGR00016
Description: ackA: acetate kinase
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
    ------- ------ -----    ------- ------ -----   ---- --  --------                             -----------
     9e-156  504.6   0.0     1e-155  504.4   0.0    1.0  1  NCBI__GCF_000025465.1:WP_012967292.1  


Domain annotation for each sequence (and alignments):
>> NCBI__GCF_000025465.1:WP_012967292.1  
   #    score  bias  c-Evalue  i-Evalue hmmfrom  hmm to    alifrom  ali to    envfrom  env to     acc
 ---   ------ ----- --------- --------- ------- -------    ------- -------    ------- -------    ----
   1 !  504.4   0.0    1e-155    1e-155       4     404 ..       3     393 ..       1     394 [. 0.98

  Alignments for each domain:
  == domain 1  score: 504.4 bits;  conditional E-value: 1e-155
                             TIGR00016   4 kkilvlnaGssslkfalldaensekvllsglverikleeariktvedgekkeeeklaiedheeavkkllntlk 76 
                                            ki+ +naGssslkf+ll++ +   +l++gl+eri l+ea ++t+++  +k +e+l i+dh+eav+ ll++l+
  NCBI__GCF_000025465.1:WP_012967292.1   3 YKIMAINAGSSSLKFQLLNMPQ-GALLCQGLIERIGLPEA-RFTLKTPTQKWQETLPIADHHEAVTLLLEALT 73 
                                           69*******************6.6778*************.78899999************************ PP

                             TIGR00016  77 kdkkilkelseialiGHRvvhGgekftesvivtdevlkkikdiselAPlHnpaelegieavlklkvllkaknv 149
                                             + il +l+ei+ +GHRv+hGge+f+++++v d++l++i++++elAPlHnp ++ gi+ +   + l+ +++v
  NCBI__GCF_000025465.1:WP_012967292.1  74 -GRGILSSLQEIDGVGHRVAHGGERFKDAALVCDDTLREIERLAELAPLHNPVNALGIRLFR--QLLPAVPAV 143
                                           .699**********************************************************..7788999** PP

                             TIGR00016 150 avFDtafHqtipeeaylYalPyslykelgvRrYGfHGtshkyvtqraakllnkplddlnlivcHlGnGasvsa 222
                                           avFDtafHqt++ ea+lY+lP+++y elg+RrYGfHGtsh+yv+  +a++l+ pl  l++++cHlGnG sv+a
  NCBI__GCF_000025465.1:WP_012967292.1 144 AVFDTAFHQTLKPEAWLYPLPWRYYAELGIRRYGFHGTSHHYVSSALAEKLGVPLSALRVVSCHLGNGCSVCA 216
                                           ************************************************************************* PP

                             TIGR00016 223 vknGksidtsmGltPLeGlvmGtRsGdiDpaiisylaetlglsldeieetlnkksGllgisglssDlRdildk 295
                                           +k G+s++tsmG+tP  G++mGtRsGdiDp+i+ +l e++g+s+ ++ ++ln +sGllg+sg+ssD Rd++++
  NCBI__GCF_000025465.1:WP_012967292.1 217 IKGGQSVNTSMGFTPQSGVMMGTRSGDIDPSILPWLVEKEGKSALQLSQLLNNESGLLGVSGVSSDYRDVEQA 289
                                           ************************************************************************* PP

                             TIGR00016 296 keegneeaklAlkvyvhRiakyigkyiaslegelDaivFtgGiGenaaevrelvleklevlGlkldlelnnaa 368
                                            ++gne+a+lAl+++++Ri+  ig+yi ++ g lDa++FtgGiGe +a  r+ ++++l++lGl+ld e+n+  
  NCBI__GCF_000025465.1:WP_012967292.1 290 ADAGNERAALALSLFAERIRATIGSYIMQMGG-LDALIFTGGIGEHSARARATICRNLHFLGLALDDEKNQ-- 359
                                           ******************************76.**************************************.. PP

                             TIGR00016 369 rsgkesvisteeskvkvlviptneelviaeDalrla 404
                                              + ++i  +++ vkv+vi+tneel+ia+D++rla
  NCBI__GCF_000025465.1:WP_012967292.1 360 --RSATFIQADNALVKVAVINTNEELMIARDVMRLA 393
                                           ..6689***************************985 PP



Internal pipeline statistics summary:
-------------------------------------
Query model(s):                            1  (405 nodes)
Target sequences:                          1  (404 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: 0.00u 0.01s 00:00:00.01 Elapsed: 00:00:00.00
# Mc/sec: 30.86
//
[ok]

This GapMind analysis is from Apr 09 2024. 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 2024 update 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