Alignments for a candidate for ackA in Arcobacter nitrofigilis DSM 7299

GapMind for catabolism of small carbon sources

Alignments for a candidate for ackA in Arcobacter nitrofigilis DSM 7299

Align acetate kinase (EC 2.7.2.1) (characterized)
to candidate WP_013134568.1 ARNIT_RS03780 acetate kinase

Query= BRENDA::Q9WYB1
         (403 letters)



>NCBI__GCF_000092245.1:WP_013134568.1
          Length = 398

 Score =  429 bits (1104), Expect = e-125
 Identities = 216/402 (53%), Positives = 301/402 (74%), Gaps = 7/402 (1%)

Query: 1   MRVLVINSGSSSIKYQLIEMEGEKVLCKGIAERIGIEGSRLVHRVG-DEKHVIERELPDH 59
           M VLV+N+GSSS+KYQL++ +  + +  G+ ERIGI+G  L H VG ++K   E E+P H
Sbjct: 1   MLVLVLNAGSSSLKYQLVDTKTGEAIASGLVERIGIDGI-LKHEVGINKKLTFEIEMPTH 59

Query: 60  EEALKLILNTLVDEKLGVIKDLKEIDAVGHRVVHGGERFKESVLVDEEVLKAIEEVSPLA 119
           +EA++L+L TL   +  VI  + EIDA+GHRVVHGGE FK SV++ E+V+K IEE+ PLA
Sbjct: 60  KEAIELVLKTLTIYETKVIDSIDEIDAIGHRVVHGGENFKSSVIITEKVIKQIEELIPLA 119

Query: 120 PLHNPANLMGIKAAMKLLPGVPNVAVFDTAFHQTIPQKAYLYAIPYEYYEKYKIRRYGFH 179
           PLHN AN++G++   +L+PG PNVAVFDTAFHQT+P + YLYA+P+E Y K+K+R+YGFH
Sbjct: 120 PLHNSANILGMRICQELIPGKPNVAVFDTAFHQTMPPENYLYAVPHEDYTKFKLRKYGFH 179

Query: 180 GTSHRYVSKRAAEILGKKLEELKIITCHIGNGASVAAVKYGKCVDTSMGFTPLEGLVMGT 239
           GTSH YVSK A ++LG K ++ KII CH+GNG+S+ AV+ GK + T+MG TPLEGL+MGT
Sbjct: 180 GTSHSYVSKEAIKLLGNK-KDTKIIVCHLGNGSSLCAVRDGKSLCTTMGLTPLEGLIMGT 238

Query: 240 RSGDLDPAIPFFIMEKEGISPQEMYDILNKKSGVYGLSKGFSSDMRDIEEAALKGDEWCK 299
           R GD+D  +  ++M K+ + P ++ D LNKKSG+ GLS G SSD+R++ +AA  GD+  K
Sbjct: 239 RCGDIDAGVIPYLMGKKNMDPHQIIDYLNKKSGILGLS-GISSDLREVIKAANDGDKRAK 297

Query: 300 LVLEIYDYRIAKYIGAYAAAMNGVDAIVFTAGVGENSPITREDVCSYLEFLGVKLDKQKN 359
             +++   +I ++I +YA  M GVDAI FTAG+GENS + RE+ CS L+F+G+ LDK+KN
Sbjct: 298 TTIKMLCNKIKRFICSYAGLMGGVDAICFTAGIGENSDLIRENACSDLDFMGIVLDKEKN 357

Query: 360 EETIRGKEG-IISTPDSRVKVLVVPTNEELMIARDTKEIVEK 400
           +  IR KE   IS  DS  K+ V+PTNEEL+IA+DT +++ K
Sbjct: 358 K--IRSKENREISAEDSNTKIFVIPTNEELVIAQDTYKLIGK 397


Lambda     K      H
   0.318    0.138    0.391 

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: 495
Number of extensions: 24
Number of successful extensions: 5
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: 403
Length of database: 398
Length adjustment: 31
Effective length of query: 372
Effective length of database: 367
Effective search space:   136524
Effective search space used:   136524
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_013134568.1 ARNIT_RS03780 (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.1272117.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
    ------- ------ -----    ------- ------ -----   ---- --  --------                             -----------
   8.3e-160  517.9   2.3   9.4e-160  517.7   2.3    1.0  1  NCBI__GCF_000092245.1:WP_013134568.1  


Domain annotation for each sequence (and alignments):
>> NCBI__GCF_000092245.1:WP_013134568.1  
   #    score  bias  c-Evalue  i-Evalue hmmfrom  hmm to    alifrom  ali to    envfrom  env to     acc
 ---   ------ ----- --------- --------- ------- -------    ------- -------    ------- -------    ----
   1 !  517.7   2.3  9.4e-160  9.4e-160       4     404 ..       1     395 [.       1     396 [. 0.97

  Alignments for each domain:
  == domain 1  score: 517.7 bits;  conditional E-value: 9.4e-160
                             TIGR00016   4 kkilvlnaGssslkfalldaensekvllsglverikleeariktvedgekkeeeklaiedheeavkkllntlk 76 
                                           +++lvlnaGssslk++l+d++++e + +sglveri +++  +k  +  +kk +++ +++ h+ea++ +l+tl+
  NCBI__GCF_000092245.1:WP_013134568.1   1 MLVLVLNAGSSSLKYQLVDTKTGEAI-ASGLVERIGIDGI-LKHEVGINKKLTFEIEMPTHKEAIELVLKTLT 71 
                                           579******************88877.************9.555555569999******************** PP

                             TIGR00016  77 k.dkkilkelseialiGHRvvhGgekftesvivtdevlkkikdiselAPlHnpaelegieavlklkvllkakn 148
                                             ++k++++ +ei++iGHRvvhGge+f++svi+t++v+k+i+++++lAPlHn a++ g+++ +  + ++ ++n
  NCBI__GCF_000092245.1:WP_013134568.1  72 IyETKVIDSIDEIDAIGHRVVHGGENFKSSVIITEKVIKQIEELIPLAPLHNSANILGMRICQ--ELIPGKPN 142
                                           99*************************************************************..7788889* PP

                             TIGR00016 149 vavFDtafHqtipeeaylYalPyslykelgvRrYGfHGtshkyvtqraakllnkplddlnlivcHlGnGasvs 221
                                           vavFDtafHqt+p e+ylYa+P++ y+++++R+YGfHGtsh+yv+++a kll+   +d ++ivcHlGnG+s++
  NCBI__GCF_000092245.1:WP_013134568.1 143 VAVFDTAFHQTMPPENYLYAVPHEDYTKFKLRKYGFHGTSHSYVSKEAIKLLGN-KKDTKIIVCHLGNGSSLC 214
                                           ****************************************************99.799*************** PP

                             TIGR00016 222 avknGksidtsmGltPLeGlvmGtRsGdiDpaiisylaetlglsldeieetlnkksGllgisglssDlRdild 294
                                           av++Gks+ t+mGltPLeGl+mGtR+GdiD ++i yl+ ++++  ++i + lnkksG+lg+sg+ssDlR++++
  NCBI__GCF_000092245.1:WP_013134568.1 215 AVRDGKSLCTTMGLTPLEGLIMGTRCGDIDAGVIPYLMGKKNMDPHQIIDYLNKKSGILGLSGISSDLREVIK 287
                                           ************************************************************************* PP

                             TIGR00016 295 kkeegneeaklAlkvyvhRiakyigkyiaslegelDaivFtgGiGenaaevrelvleklevlGlkldlelnna 367
                                           + ++g+++ak+ +k+++++i+++i +y+  + g +Dai Ft+GiGen+  +re+++++l+++G+ ld+e+n+ 
  NCBI__GCF_000092245.1:WP_013134568.1 288 AANDGDKRAKTTIKMLCNKIKRFICSYAGLMGG-VDAICFTAGIGENSDLIRENACSDLDFMGIVLDKEKNK- 358
                                           *******************************66.*************************************9. PP

                             TIGR00016 368 arsgkesvisteeskvkvlviptneelviaeDalrla 404
                                            rs++++ is e+s++k++viptneelvia+D+++l+
  NCBI__GCF_000092245.1:WP_013134568.1 359 IRSKENREISAEDSNTKIFVIPTNEELVIAQDTYKLI 395
                                           9999******************************996 PP



Internal pipeline statistics summary:
-------------------------------------
Query model(s):                            1  (405 nodes)
Target sequences:                          1  (398 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 0.00s 00:00:00.00 Elapsed: 00:00:00.00
# Mc/sec: 24.44
//
[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