Alignments for a candidate for ackA in Streptococcus massiliensis 4401825

GapMind for catabolism of small carbon sources

Alignments for a candidate for ackA in Streptococcus massiliensis 4401825

Align Probable propionate kinase; EC 2.7.2.15 (characterized)
to candidate WP_018371514.1 BN415_RS07820 acetate kinase

Query= SwissProt::P74879
         (404 letters)



>NCBI__GCF_000341525.1:WP_018371514.1
          Length = 397

 Score =  409 bits (1052), Expect = e-119
 Identities = 208/389 (53%), Positives = 274/389 (70%), Gaps = 3/389 (0%)

Query: 1   MSYKIMAINAGSSSLKFQLLEMPQGDMLCQGLIERIGMADAQVTIKTHSQKWQETVPVAD 60
           M  KIM IN+GSSSLKFQ+ ++    +L +G+ ERIG+    +TI    +K +++  +A+
Sbjct: 1   MRKKIMVINSGSSSLKFQIYDLETSKLLAKGIFERIGIDHPTLTISCQGKKVEQSSIIAN 60

Query: 61  HRDAVTLLLEKLLGYQIINSLRDIDGVGHRVAHGGEFFKDSTLVTDETLAQIERLAELAP 120
           H +AV  L++ LL   II  L +I GVGHRVAHGG  F   T+VT+   A+IE LAELAP
Sbjct: 61  HHEAVQELMQTLLDRGIILDLLEIVGVGHRVAHGGTIFTKPTVVTELVEAKIEELAELAP 120

Query: 121 LHNPVNALGIHVFRQLLPDAPSVAVFDTAFHQTLDEPAYIYPLPWHYYAELGIRRYGFHG 180
           LHNP+N LGI  F+  LP A  VAVFDTAFHQT++E  Y YP+P+ Y  + GIRRYGFHG
Sbjct: 121 LHNPINLLGIRAFKSYLPQALEVAVFDTAFHQTMEEAYYTYPIPYEYREKYGIRRYGFHG 180

Query: 181 TSHKYVSGVLAEKLGVPLSALRVICCHLGNGSSICAIKNGRSVNTSMGFTPQSGVMMGTR 240
            SH+Y+S  + E  G+P    ++IC HLGNGSSICA+KNG S  TSMGFTP +G+MMGTR
Sbjct: 181 ISHQYISDYVTEHYGLPE---KMICAHLGNGSSICAMKNGLSYTTSMGFTPTAGLMMGTR 237

Query: 241 SGDIDPSILPWIAQRESKTPQQLNQLLNNESGLLGVSGVSSDYRDVEQAANTGNRQAKLA 300
            GDIDP I+ ++ + E+ +  Q++Q++N +SGL G+SG SSD RD+E AA  GN +A+LA
Sbjct: 238 CGDIDPMIVSFLEKHENFSGNQIDQVINQKSGLRGISGFSSDMRDIELAATQGNSRAELA 297

Query: 301 LTLFAERIRATIGSYIMQMGGLDALVFTGGIGENSARARSAVCHNLQFLGLAVDEEKNQR 360
           L +FA R+   +GSYI  + GLD LVFT GIGE+SA  R  VC  L FLGL +D++KNQ 
Sbjct: 298 LDIFANRVIELVGSYISSLNGLDVLVFTAGIGEHSATIRKKVCQRLTFLGLDIDDKKNQD 357

Query: 361 NATFIQTENALVKVAVINTNEELMIAQDV 389
           +A  I + N+ +KV VI TNEE +IAQ V
Sbjct: 358 HAEEISSSNSKIKVLVIPTNEEWLIAQAV 386


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: 394
Number of extensions: 12
Number of successful extensions: 2
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: 397
Length adjustment: 31
Effective length of query: 373
Effective length of database: 366
Effective search space:   136518
Effective search space used:   136518
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_018371514.1 BN415_RS07820 (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.3326459.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
    ------- ------ -----    ------- ------ -----   ---- --  --------                             -----------
   5.5e-147  475.6   1.0   6.8e-147  475.3   1.0    1.0  1  NCBI__GCF_000341525.1:WP_018371514.1  


Domain annotation for each sequence (and alignments):
>> NCBI__GCF_000341525.1:WP_018371514.1  
   #    score  bias  c-Evalue  i-Evalue hmmfrom  hmm to    alifrom  ali to    envfrom  env to     acc
 ---   ------ ----- --------- --------- ------- -------    ------- -------    ------- -------    ----
   1 !  475.3   1.0  6.8e-147  6.8e-147       3     400 ..       2     386 ..       1     390 [. 0.97

  Alignments for each domain:
  == domain 1  score: 475.3 bits;  conditional E-value: 6.8e-147
                             TIGR00016   3 skkilvlnaGssslkfalldaensekvllsglverikleeariktvedgekkeeeklaiedheeavkkllntl 75 
                                            kki+v+n+Gssslkf+++d e ++k+l++g+ eri +++ ++ t++ ++kk e+   i++h+eav++l++tl
  NCBI__GCF_000341525.1:WP_018371514.1   2 RKKIMVINSGSSSLKFQIYDLE-TSKLLAKGIFERIGIDHPTL-TISCQGKKVEQSSIIANHHEAVQELMQTL 72 
                                           589*******************.58899************955.57777799999999*************** PP

                             TIGR00016  76 kkdkkilkelseialiGHRvvhGgekftesvivtdevlkkikdiselAPlHnpaelegieavlklkvllkakn 148
                                             d+ i+ +l ei  +GHRv+hGg+ ft+ ++vt+ v +ki++++elAPlHnp +l gi+a++    l++a +
  NCBI__GCF_000341525.1:WP_018371514.1  73 L-DRGIILDLLEIVGVGHRVAHGGTIFTKPTVVTELVEAKIEELAELAPLHNPINLLGIRAFK--SYLPQALE 142
                                           *.89***********************************************************..8999999* PP

                             TIGR00016 149 vavFDtafHqtipeeaylYalPyslykelgvRrYGfHGtshkyvtqraakllnkplddlnlivcHlGnGasvs 221
                                           vavFDtafHqt++e  y Y++Py++ +++g+RrYGfHG+sh+y+++++ ++ + p    ++i +HlGnG+s++
  NCBI__GCF_000341525.1:WP_018371514.1 143 VAVFDTAFHQTMEEAYYTYPIPYEYREKYGIRRYGFHGISHQYISDYVTEHYGLP---EKMICAHLGNGSSIC 212
                                           ******************************************************5...579************ PP

                             TIGR00016 222 avknGksidtsmGltPLeGlvmGtRsGdiDpaiisylaetlglsldeieetlnkksGllgisglssDlRdild 294
                                           a+knG s+ tsmG+tP +Gl+mGtR+GdiDp i+s+l+++++ s ++i +++n+ksGl gisg+ssD+Rdi+ 
  NCBI__GCF_000341525.1:WP_018371514.1 213 AMKNGLSYTTSMGFTPTAGLMMGTRCGDIDPMIVSFLEKHENFSGNQIDQVINQKSGLRGISGFSSDMRDIEL 285
                                           ************************************************************************* PP

                             TIGR00016 295 kkeegneeaklAlkvyvhRiakyigkyiaslegelDaivFtgGiGenaaevrelvleklevlGlkldlelnna 367
                                           + ++gn +a+lAl+++++R+ + +g+yi+sl+g lD +vFt+GiGe +a++r++v+++l +lGl++d ++n+ 
  NCBI__GCF_000341525.1:WP_018371514.1 286 AATQGNSRAELALDIFANRVIELVGSYISSLNG-LDVLVFTAGIGEHSATIRKKVCQRLTFLGLDIDDKKNQ- 356
                                           *******************************88.*************************************9. PP

                             TIGR00016 368 arsgkesvisteeskvkvlviptneelviaeDa 400
                                               +   is+++sk+kvlviptnee++ia+ +
  NCBI__GCF_000341525.1:WP_018371514.1 357 ---DHAEEISSSNSKIKVLVIPTNEEWLIAQAV 386
                                           ...666789*********************965 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 0.00s 00:00:00.00 Elapsed: 00:00:00.00
# Mc/sec: 26.74
//
[ok]

This GapMind analysis is from Sep 24 2021. The underlying query database was built on Sep 17 2021.

Downloads

Candidates (tab-delimited)
Steps (tab-delimited)
Rules (tab-delimited)
Protein sequences (fasta format)
Organisms (tab-delimited)
SQLite3 databases

Related tools

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