Alignments for a candidate for ackA in Amantichitinum ursilacus IGB-41

GapMind for catabolism of small carbon sources

Alignments for a candidate for ackA in Amantichitinum ursilacus IGB-41

Align acetate kinase monomer (EC 2.7.2.15) (characterized)
to candidate WP_053938395.1 WG78_RS13700 acetate kinase

Query= metacyc::ACKCLOS-MONOMER
         (401 letters)



>NCBI__GCF_001294205.1:WP_053938395.1
          Length = 397

 Score =  296 bits (757), Expect = 9e-85
 Identities = 169/401 (42%), Positives = 235/401 (58%), Gaps = 16/401 (3%)

Query: 4   LVINCGSSSIKYQFIDMK--DETVLAKGLVERIGIKGSVITHKVNGEKYVTETPMED--- 58
           L+IN GSSSIK+   +    D  +   G V+ I  +         G+K   E    D   
Sbjct: 6   LIINAGSSSIKFSLFEQTAADPVLQFNGQVDGIFTQPQFSAKDAAGQKIANEPLPADAPK 65

Query: 59  -HKKAIKLVLDALLNDEYGVIKNIDEISAVGHRIVHGGEKYANSVLIDEDVMKSIEDCVS 117
            H  A++ VLD L     G      +++ +GHR+VHGG  ++  V +  DV+  +E  V 
Sbjct: 66  SHDTALRYVLDWLKGHTEG-----RKLAVIGHRVVHGGTGFSQPVRVTPDVIAQLEQTVP 120

Query: 118 LAPLHNPPHIIGINACKELMPNVPMVAVFDTAFHQTIPDYAYMYAIPYEYYDKYKIRKYG 177
           LAPLH P +I  +     L+P+VP VA FDTAFH+T P+   +YA+P E  ++  +R++G
Sbjct: 121 LAPLHAPHNIGPMKILAGLLPDVPQVACFDTAFHRTQPELNQLYALPLELAEREGLRRWG 180

Query: 178 FHGTSHKYVSRTAAEFIGKKVEDLKMVVCHMGNGASITAVENGKSVDTSMGFTPLGGLAM 237
           FHG S++Y++    + I  K    + VVCH+GNGAS+ A+       T+MGFT L GL M
Sbjct: 181 FHGLSYEYIASVLPQ-IDAKAAQGRTVVCHLGNGASMAALLGSVCQLTTMGFTALEGLPM 239

Query: 238 GTRSGDMDPAVVTFLMDKLNINASEVNNLLNKKSGIEGLSGISSDMRDIKKGNYVDKDPK 297
           GTR+G +DPA+V FLM  L +N +E+  LL K+SG+ GLSGISSDMR++   N    DP+
Sbjct: 240 GTRTGTLDPAIVLFLMTHLKMNTAEIETLLYKESGLLGLSGISSDMRELHASN----DPR 295

Query: 298 AMLAYSVFNYKIKQFIGSYTAVMNGLDCLVFTGGIGENSFENRREICKNMDYLGIKIDDK 357
           A LA   F  +I Q +GS +A + GLD LVFT GIGEN    R  +CK + +LG+++D  
Sbjct: 296 AKLAVDYFANRIVQQVGSLSAALQGLDALVFTAGIGENDEHVRASVCKALGWLGVELDKG 355

Query: 358 KNDETMGIPMDISAEGSKVRVLVIPTNEELMIARDTKDIVG 398
            N+        IS E S+V V VIPTNEELMIAR    +VG
Sbjct: 356 VNNTRSSKARRISTEASRVAVYVIPTNEELMIARHATRVVG 396


Lambda     K      H
   0.317    0.136    0.390 

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: 366
Number of extensions: 13
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: 401
Length of database: 397
Length adjustment: 31
Effective length of query: 370
Effective length of database: 366
Effective search space:   135420
Effective search space used:   135420
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_053938395.1 WG78_RS13700 (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.152656.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
    ------- ------ -----    ------- ------ -----   ---- --  --------                             -----------
   8.5e-124  399.3   0.0   9.5e-124  399.1   0.0    1.0  1  NCBI__GCF_001294205.1:WP_053938395.1  


Domain annotation for each sequence (and alignments):
>> NCBI__GCF_001294205.1:WP_053938395.1  
   #    score  bias  c-Evalue  i-Evalue hmmfrom  hmm to    alifrom  ali to    envfrom  env to     acc
 ---   ------ ----- --------- --------- ------- -------    ------- -------    ------- -------    ----
   1 !  399.1   0.0  9.5e-124  9.5e-124       4     403 ..       3     394 ..       1     396 [. 0.94

  Alignments for each domain:
  == domain 1  score: 399.1 bits;  conditional E-value: 9.5e-124
                             TIGR00016   4 kkilvlnaGssslkfalldaensekvl.lsglverikleeariktvedgekkeeekl...aiedheeavkkll 72 
                                           ++il++naGsss+kf+l++++ ++ vl ++g v+ i+ + ++  +   g+k  +e l   a ++h++a++ +l
  NCBI__GCF_001294205.1:WP_053938395.1   3 ELILIINAGSSSIKFSLFEQTAADPVLqFNGQVDGIFTQPQFSAKDAAGQKIANEPLpadAPKSHDTALRYVL 75 
                                           78*******************999886479***********8777777777666654222567899******* PP

                             TIGR00016  73 ntlkkdkkilkelseialiGHRvvhGgekftesvivtdevlkkikdiselAPlHnpaelegieavlklkvllk 145
                                           + lk     ++e  ++a+iGHRvvhGg+ f++ v vt +v++++++ ++lAPlH p ++  ++++     l++
  NCBI__GCF_001294205.1:WP_053938395.1  76 DWLKG----HTEGRKLAVIGHRVVHGGTGFSQPVRVTPDVIAQLEQTVPLAPLHAPHNIGPMKILA--GLLPD 142
                                           ***97....78999*************************************************999..8899* PP

                             TIGR00016 146 aknvavFDtafHqtipeeaylYalPyslykelgvRrYGfHGtshkyvtqraakllnkplddlnlivcHlGnGa 218
                                           +++va+FDtafH+t pe + lYalP +l ++ g+Rr+GfHG+s++y++  + ++  k +++ + +vcHlGnGa
  NCBI__GCF_001294205.1:WP_053938395.1 143 VPQVACFDTAFHRTQPELNQLYALPLELAEREGLRRWGFHGLSYEYIASVLPQIDAK-AAQGRTVVCHLGNGA 214
                                           ************************************************999988777.88899********** PP

                             TIGR00016 219 svsavknGksidtsmGltPLeGlvmGtRsGdiDpaiisylaetlglsldeieetlnkksGllgisglssDlRd 291
                                           s++a+    +  t+mG+t LeGl mGtR+G +Dpai+ +l+++l++ ++eie++l k+sGllg+sg+ssD+R+
  NCBI__GCF_001294205.1:WP_053938395.1 215 SMAALLGSVCQLTTMGFTALEGLPMGTRTGTLDPAIVLFLMTHLKMNTAEIETLLYKESGLLGLSGISSDMRE 287
                                           ************************************************************************* PP

                             TIGR00016 292 ildkkeegneeaklAlkvyvhRiakyigkyiaslegelDaivFtgGiGenaaevrelvleklevlGlkldlel 364
                                           + +     + +aklA++ +++Ri + +g+  a+l+g lDa+vFt+GiGen+ +vr+ v+++l  lG++ld+  
  NCBI__GCF_001294205.1:WP_053938395.1 288 LHASN---DPRAKLAVDYFANRIVQQVGSLSAALQG-LDALVFTAGIGENDEHVRASVCKALGWLGVELDKGV 356
                                           99877...789***********************88.************************************ PP

                             TIGR00016 365 nnaarsgkesvisteeskvkvlviptneelviaeDalrl 403
                                           nn +rs k + iste s+v v+viptneel+ia+ a+r+
  NCBI__GCF_001294205.1:WP_053938395.1 357 NN-TRSSKARRISTEASRVAVYVIPTNEELMIARHATRV 394
                                           **.9******************************99987 PP



Internal pipeline statistics summary:
-------------------------------------
Query model(s):                            1  (405 nodes)
Target sequences:                          1  (397 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: 00:00:00.01
# Mc/sec: 10.76
//
[ok]

This GapMind analysis is from Sep 24 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 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