Alignments for a candidate for ackA in Haloglycomyces albus DSM 45210

GapMind for catabolism of small carbon sources

Alignments for a candidate for ackA in Haloglycomyces albus DSM 45210

Align acetate kinase (EC 2.7.2.1) (characterized)
to candidate WP_025274411.1 HALAL_RS0112980 acetate kinase

Query= BRENDA::P0CW05
         (408 letters)



>NCBI__GCF_000527155.1:WP_025274411.1
          Length = 400

 Score =  375 bits (963), Expect = e-108
 Identities = 196/400 (49%), Positives = 276/400 (69%), Gaps = 5/400 (1%)

Query: 3   VLVINAGSSSLKYQLIDMTNESALAIGLCERIGIDNSIITQKRFDGKKLEKQTDLPNHKI 62
           VLVIN+GSSSLKYQLID  +   +A GL ERIG ++  +T K   GK++E++  + +H  
Sbjct: 5   VLVINSGSSSLKYQLIDADDLHVIASGLVERIGEEDGCVTHKSQSGKQVEERP-VVDHGE 63

Query: 63  ALEEVVKALTDSEFGVIKSMDEINAVGHRVVHGGEKFNSSALINEGVEQAIKDCFELAPL 122
           A+  +V+A      G   +   + AV HRVVHGGE+F    +I + VE+AI D  +LAPL
Sbjct: 64  AITAMVEAFRSE--GSDLNRVGLKAVAHRVVHGGERFIEPTVITDEVERAIADLAQLAPL 121

Query: 123 HNPPNMMGISSCQEIMPGVPMVAVFDTAFHHTIPPYAYMYALPYELYEKYGIRKYGFHGT 182
           HNP N+ GI   + +   +P VAVFDTAFH T+PP+AY YA+P E  E YG+R+YGFHGT
Sbjct: 122 HNPANLEGIRVSRRMFRDLPQVAVFDTAFHSTMPPHAYNYAVPSEWREDYGVRRYGFHGT 181

Query: 183 SHFYVAKRAAAMLGKPEQDVKVITCHLGNGSSITAVKGGKSIETTMGFTPLEGVAMGTRC 242
           SH YV+++AA  +GK  +DV VI  HLGNG+S+TAV GG+SI+T+MG TPLEG+ MGTR 
Sbjct: 182 SHSYVSRQAAGEMGKDPRDVNVIVAHLGNGASVTAVSGGRSIDTSMGLTPLEGLVMGTRS 241

Query: 243 GSIDPAVVPFIMEKEGLSTREIDTLMNKKSGVLGVSSLSNDFRDLDEAASKGNQKAELAL 302
           G IDPA+V  +  + GL   E+D  +NK+SG+L ++ +  D R ++ AA  G+  A+ AL
Sbjct: 242 GDIDPAIVFHMHRQGGLDVNELDQALNKRSGMLAMTGMV-DMRGIEAAAHDGDSAADAAL 300

Query: 303 EIFAYKIKKVIGEYIAVLNGVDAIVFTAGIGENSASIRKRILADLDGIGIKIDEEKNKIR 362
           +++AY+I+K +G Y+A L   DAI FTAG+GENS S+R+R LA L+ +G+ +DE+ N+IR
Sbjct: 301 DLYAYRIRKYLGAYMASLGRTDAIAFTAGVGENSPSVRQRALAGLEPLGVVLDEKANEIR 360

Query: 363 GQEIDISTPDATVRVLVIPTNEELTIARDTKEICETEVKL 402
           G  +D++   + VR+LVIPTNEE  IA  +  +   E K+
Sbjct: 361 G-TVDVTGTGSKVRILVIPTNEEGEIATQSAMLLRGEGKI 399


Lambda     K      H
   0.317    0.135    0.379 

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: 434
Number of extensions: 15
Number of successful extensions: 4
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: 400
Length adjustment: 31
Effective length of query: 377
Effective length of database: 369
Effective search space:   139113
Effective search space used:   139113
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: 50 (23.9 bits)

Align candidate WP_025274411.1 HALAL_RS0112980 (acetate 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.801691.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
    ------- ------ -----    ------- ------ -----   ---- --  --------                             -----------
   3.8e-143  463.0   0.0   4.3e-143  462.8   0.0    1.0  1  NCBI__GCF_000527155.1:WP_025274411.1  


Domain annotation for each sequence (and alignments):
>> NCBI__GCF_000527155.1:WP_025274411.1  
   #    score  bias  c-Evalue  i-Evalue hmmfrom  hmm to    alifrom  ali to    envfrom  env to     acc
 ---   ------ ----- --------- --------- ------- -------    ------- -------    ------- -------    ----
   1 !  462.8   0.0  4.3e-143  4.3e-143       4     402 ..       3     391 ..       1     394 [. 0.94

  Alignments for each domain:
  == domain 1  score: 462.8 bits;  conditional E-value: 4.3e-143
                             TIGR00016   4 kkilvlnaGssslkfalldaensekvllsglverikleeariktvedgekkeeeklaiedheeavkkllntlk 76 
                                           + +lv+n+Gssslk++l+da +  +v++sglveri  e+  ++ ++++  k+ e+  + dh ea++++++++ 
  NCBI__GCF_000527155.1:WP_025274411.1   3 TPVLVINSGSSSLKYQLIDADD-LHVIASGLVERIGEEDGCVTHKSQS-GKQVEERPVVDHGEAITAMVEAFR 73 
                                           569******************8.6677**********99977766655.5677888999************** PP

                             TIGR00016  77 kdkkilkelseialiGHRvvhGgekftesvivtdevlkkikdiselAPlHnpaelegieavlklkvllkaknv 149
                                           + +  + +   ++++ HRvvhGge+f e +++tdev ++i+d+++lAPlHnpa+legi+      +  + ++v
  NCBI__GCF_000527155.1:WP_025274411.1  74 S-EGSDLNRVGLKAVAHRVVHGGERFIEPTVITDEVERAIADLAQLAPLHNPANLEGIRVSR--RMFRDLPQV 143
                                           6.6667777889***********************************************999..7778889** PP

                             TIGR00016 150 avFDtafHqtipeeaylYalPyslykelgvRrYGfHGtshkyvtqraakllnkplddlnlivcHlGnGasvsa 222
                                           avFDtafH t+p +ay Ya+P ++ +++gvRrYGfHGtsh+yv+++aa  ++k   d+n+iv+HlGnGasv+a
  NCBI__GCF_000527155.1:WP_025274411.1 144 AVFDTAFHSTMPPHAYNYAVPSEWREDYGVRRYGFHGTSHSYVSRQAAGEMGKDPRDVNVIVAHLGNGASVTA 216
                                           ************************************************************************* PP

                             TIGR00016 223 vknGksidtsmGltPLeGlvmGtRsGdiDpaiisylaetlglsldeieetlnkksGllgisglssDlRdildk 295
                                           v  G+sidtsmGltPLeGlvmGtRsGdiDpai+++++ + gl ++e+ ++lnk+sG+l+++g   D+R i+++
  NCBI__GCF_000527155.1:WP_025274411.1 217 VSGGRSIDTSMGLTPLEGLVMGTRSGDIDPAIVFHMHRQGGLDVNELDQALNKRSGMLAMTG-MVDMRGIEAA 288
                                           **************************************************************.79******** PP

                             TIGR00016 296 keegneeaklAlkvyvhRiakyigkyiaslegelDaivFtgGiGenaaevrelvleklevlGlkldlelnnaa 368
                                            ++g+  a+ Al++y++Ri+ky+g+y+asl g+ Dai Ft+G+Gen+ +vr+++l +le lG+ ld++ n+  
  NCBI__GCF_000527155.1:WP_025274411.1 289 AHDGDSAADAALDLYAYRIRKYLGAYMASL-GRTDAIAFTAGVGENSPSVRQRALAGLEPLGVVLDEKANE-- 358
                                           ******************************.67*************************************9.. PP

                             TIGR00016 369 rsgkesvisteeskvkvlviptneelviaeDalr 402
                                                  ++ + skv++lviptnee  ia  ++ 
  NCBI__GCF_000527155.1:WP_025274411.1 359 -IRGTVDVTGTGSKVRILVIPTNEEGEIATQSAM 391
                                           .5556668889*****************987765 PP



Internal pipeline statistics summary:
-------------------------------------
Query model(s):                            1  (405 nodes)
Target sequences:                          1  (400 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: 25.87
//
[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