Alignments for a candidate for ackA in Rhodobacter maris JA276

GapMind for catabolism of small carbon sources

Alignments for a candidate for ackA in Rhodobacter maris JA276

Align acetate kinase (EC 2.7.2.1) (characterized)
to candidate WP_097069648.1 CRO22_RS08130 acetate/propionate family kinase

Query= BRENDA::Q9WYB1
         (403 letters)



>NCBI__GCF_900217815.1:WP_097069648.1
          Length = 401

 Score =  304 bits (778), Expect = 3e-87
 Identities = 171/396 (43%), Positives = 245/396 (61%), Gaps = 15/396 (3%)

Query: 4   LVINSGSSSIKYQLIEMEGEKVLCKGIAERIGIEGS-RLVHRVGDEKHVIERELPDHEEA 62
           L +N+GSSS+K  L    G++ L  G AERIG EG  +L    G    V+  ++ +H+ A
Sbjct: 13  LALNAGSSSLKVALFGATGDRALVTGQAERIGPEGVIKLKDADGRALPVVSGDISNHDAA 72

Query: 63  LKLILNTLVDEKLGVIKDLKEIDAVGHRVVHGGERFKESVLVDEEVLKAIEEVSPLAPLH 122
           L  I+ T+     G+     ++ AVGHRVVHGG  F   V V E VL  + E+SP APLH
Sbjct: 73  LAAIIATVRAAFPGL-----KLAAVGHRVVHGGVNFTAPVEVTEAVLAELTELSPFAPLH 127

Query: 123 NPANLMGIKAAMKLLPGVPNVAVFDTAFHQTIPQKAYLYAIPYEYYEKYKIRRYGFHGTS 182
            P N+ GI+AAM+  PGVP VA FDTAFH+  P     +A+P+ YYE+  +RRYGFHG S
Sbjct: 128 QPHNIAGIRAAMEAFPGVPQVACFDTAFHRGQPFVNDTFALPHRYYEQ-GVRRYGFHGLS 186

Query: 183 HRYVSKRAAEILGKKLEELKIITCHIGNGASVAAVKYGKCVDTSMGFTPLEGLVMGTRSG 242
           + YV+   A I    L   +++  H+GNGAS  A+  G+ V +SMGF+ L+GL MGTR G
Sbjct: 187 YDYVTGEVARI-APHLMAGRVVVAHLGNGASTCAIMRGRSVASSMGFSVLDGLPMGTRCG 245

Query: 243 DLDPAIPFFIMEKEGISPQEMYDILNKKSGVYGLSKGFSSDMRDIEEAALKGDEWCKLVL 302
            +DP +  +++E+EG+S  E+ DIL  KSG+ GLS G S+DMR +EEA           +
Sbjct: 246 QVDPGVILYMLEREGLSTAEIRDILYNKSGLLGLSGGLSNDMRTLEEA---DSPESHRAI 302

Query: 303 EIYDYRIAKYIGAYAAAMNGVDAIVFTAGVGENSPITREDVCSYLEFLGVKLDKQKNEET 362
           + + +R+ + +GA AA M G+DA+VF  G+GENS + R  +C  L ++GV++D  +N E+
Sbjct: 303 DYFVFRVQRELGAMAAVMGGIDALVFCGGIGENSRVVRRRICERLGWMGVEIDHGRNAES 362

Query: 363 IRGKEGIISTPDSRVKVLVVPTNEELMIARDTKEIV 398
                 IIS+  +R  V++VPT EEL+I R  ++ V
Sbjct: 363 AT----IISSEFARTAVMIVPTREELVIVRAARKAV 394


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: 357
Number of extensions: 18
Number of successful extensions: 6
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: 401
Length adjustment: 31
Effective length of query: 372
Effective length of database: 370
Effective search space:   137640
Effective search space used:   137640
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_097069648.1 CRO22_RS08130 (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.899717.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
    ------- ------ -----    ------- ------ -----   ---- --  --------                             -----------
   1.2e-114  369.1   0.0   1.5e-114  368.8   0.0    1.0  1  NCBI__GCF_900217815.1:WP_097069648.1  


Domain annotation for each sequence (and alignments):
>> NCBI__GCF_900217815.1:WP_097069648.1  
   #    score  bias  c-Evalue  i-Evalue hmmfrom  hmm to    alifrom  ali to    envfrom  env to     acc
 ---   ------ ----- --------- --------- ------- -------    ------- -------    ------- -------    ----
   1 !  368.8   0.0  1.5e-114  1.5e-114       3     400 ..       9     390 ..       7     394 .. 0.94

  Alignments for each domain:
  == domain 1  score: 368.8 bits;  conditional E-value: 1.5e-114
                             TIGR00016   3 skkilvlnaGssslkfalldaensekvllsglverikleeariktvedgekkeeeklaiedheeavkkllntl 75 
                                           s+ +l lnaGssslk al+ a+ +++ l+ g +eri  e+ +  +  dg        +i++h++a+++++ t+
  NCBI__GCF_900217815.1:WP_097069648.1   9 SRAFLALNAGSSSLKVALFGAT-GDRALVTGQAERIGPEGVIKLKDADGRALPVVSGDISNHDAALAAIIATV 80 
                                           5679*****************9.79999************9777778898999999***************** PP

                             TIGR00016  76 kkdkkilkelseialiGHRvvhGgekftesvivtdevlkkikdiselAPlHnpaelegieavlklkvllkakn 148
                                            +         ++a++GHRvvhGg +ft  v vt+ vl+++ ++s++APlH p ++ gi+a++  +  + +++
  NCBI__GCF_900217815.1:WP_097069648.1  81 RA----AFPGLKLAAVGHRVVHGGVNFTAPVEVTEAVLAELTELSPFAPLHQPHNIAGIRAAM--EAFPGVPQ 147
                                           *7....34556799*************************************************..7777889* PP

                             TIGR00016 149 vavFDtafHqtipeeaylYalPyslykelgvRrYGfHGtshkyvtqraakllnkplddlnlivcHlGnGasvs 221
                                           va+FDtafH+  p  +  +alP+++y e+gvRrYGfHG+s+ yvt ++a++  + l   +++v+HlGnGas +
  NCBI__GCF_900217815.1:WP_097069648.1 148 VACFDTAFHRGQPFVNDTFALPHRYY-EQGVRRYGFHGLSYDYVTGEVARIAPH-LMAGRVVVAHLGNGASTC 218
                                           **********************8777.57********************99888.8889************** PP

                             TIGR00016 222 avknGksidtsmGltPLeGlvmGtRsGdiDpaiisylaetlglsldeieetlnkksGllgisg.lssDlRdil 293
                                           a+  G+s+  smG+  L+Gl mGtR+G++Dp++i y+ e++gls++ei ++l  ksGllg+sg ls+D+R+++
  NCBI__GCF_900217815.1:WP_097069648.1 219 AIMRGRSVASSMGFSVLDGLPMGTRCGQVDPGVILYMLEREGLSTAEIRDILYNKSGLLGLSGgLSNDMRTLE 291
                                           *************************************************************9549******** PP

                             TIGR00016 294 dkkeegneeaklAlkvyvhRiakyigkyiaslegelDaivFtgGiGenaaevrelvleklevlGlkldlelnn 366
                                           ++      e+++A++ +v R+++ +g+++a + g +Da+vF gGiGen+  vr++++e+l  +G+++d+ +n 
  NCBI__GCF_900217815.1:WP_097069648.1 292 EAD---SPESHRAIDYFVFRVQRELGAMAAVMGG-IDALVFCGGIGENSRVVRRRICERLGWMGVEIDHGRNA 360
                                           998...56789*********************76.*************************************9 PP

                             TIGR00016 367 aarsgkesvisteeskvkvlviptneelviaeDa 400
                                               ++ ++is+e +++ v+++pt eelvi++ a
  NCBI__GCF_900217815.1:WP_097069648.1 361 ----ESATIISSEFARTAVMIVPTREELVIVRAA 390
                                           ....7789**********************9876 PP



Internal pipeline statistics summary:
-------------------------------------
Query model(s):                            1  (405 nodes)
Target sequences:                          1  (401 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: 24.29
//
[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 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