Alignments for a candidate for fadA in Herbaspirillum autotrophicum IAM 14942

GapMind for catabolism of small carbon sources

Alignments for a candidate for fadA in Herbaspirillum autotrophicum IAM 14942

Align Beta-ketothiolase BktB; Acetyl-CoA acetyltransferase; Acetyl-CoA acyltransferase; EC 2.3.1.16; EC 2.3.1.9 (characterized)
to candidate WP_050460653.1 AKL27_RS00755 beta-ketothiolase BktB

Query= SwissProt::Q0KBP1
         (394 letters)



>NCBI__GCF_001189915.1:WP_050460653.1
          Length = 393

 Score =  580 bits (1495), Expect = e-170
 Identities = 295/394 (74%), Positives = 333/394 (84%), Gaps = 1/394 (0%)

Query: 1   MTREVVVVSGVRTAIGTFGGSLKDVAPAELGALVVREALARAQVSGDDVGHVVFGNVIQT 60
           M REVVVVS VRTAIG FGG LK+ AP  LGA V+ EALARA VSG+DVG VVFGNVI T
Sbjct: 1   MKREVVVVSAVRTAIGDFGGGLKNHAPTALGAKVIAEALARAGVSGNDVGQVVFGNVIHT 60

Query: 61  EPRDMYLGRVAAVNGGVTINAPALTVNRLCGSGLQAIVSAAQTILLGDTDVAIGGGAESM 120
           EP+DMYL RVAA+ GGVT  APALT+NRLCGSGLQAI+SAAQ+ILLGD ++A+ GGAESM
Sbjct: 61  EPQDMYLSRVAAIKGGVTEQAPALTLNRLCGSGLQAIISAAQSILLGDAEIAVAGGAESM 120

Query: 121 SRAPYLAPAARWGARMGDAGLVDMMLGALHDPFHRIHMGVTAENVAKEYDISRAQQDEAA 180
           SRAP+LAPAARWG RMGD+ L+DM++GAL DPFH IHMGVTAENVA+ Y ISR QQDE A
Sbjct: 121 SRAPHLAPAARWGTRMGDSHLIDMLIGALQDPFHAIHMGVTAENVAERYGISRQQQDELA 180

Query: 181 LESHRRASAAIKAGYFKDQIVPVVSKGRKGDVTFDTDEHVRHDATIDDMTKLRPVFVKEN 240
           +ESHRRA+AAI  G F+ QI+PVVS  RKG+V FD DEHVR   T++ +  +R  F K +
Sbjct: 181 VESHRRAAAAIAEGRFRSQILPVVSASRKGEVVFDEDEHVRPGTTLEQLAAMRTAFQK-S 239

Query: 241 GTVTAGNASGLNDAAAAVVMMERAEAERRGLKPLARLVSYGHAGVDPKAMGIGPVPATKI 300
           GTVTAGNASG+ND AAA+V+ME  EA RRGL P+ARLVSY HAGVDPK MGIGPVPAT+ 
Sbjct: 240 GTVTAGNASGINDGAAALVLMEAGEARRRGLTPMARLVSYAHAGVDPKYMGIGPVPATRQ 299

Query: 301 ALERAGLQVSDLDVIEANEAFAAQACAVTKALGLDPAKVNPNGSGISLGHPIGATGALIT 360
           ALERAGL V++LDVIEANEAFAAQACAV   LGLDPA+VNPNGSGISLGHPIGATGA+I 
Sbjct: 300 ALERAGLSVAELDVIEANEAFAAQACAVANELGLDPARVNPNGSGISLGHPIGATGAIIA 359

Query: 361 VKALHELNRVQGRYALVTMCIGGGQGIAAIFERI 394
           VKAL+EL R  GRYAL TMCIGGGQGIAAIFER+
Sbjct: 360 VKALYELQRSGGRYALTTMCIGGGQGIAAIFERM 393


Lambda     K      H
   0.318    0.134    0.381 

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: 522
Number of extensions: 15
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: 394
Length of database: 393
Length adjustment: 31
Effective length of query: 363
Effective length of database: 362
Effective search space:   131406
Effective search space used:   131406
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 (21.7 bits)
S2: 50 (23.9 bits)

Align candidate WP_050460653.1 AKL27_RS00755 (beta-ketothiolase BktB)
to HMM TIGR01930 (acetyl-CoA C-acyltransferase (EC 2.3.1.16))

# 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/TIGR01930.hmm
# target sequence database:        /tmp/gapView.253282.genome.faa
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

Query:       TIGR01930  [M=385]
Accession:   TIGR01930
Description: AcCoA-C-Actrans: acetyl-CoA C-acyltransferase
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
    ------- ------ -----    ------- ------ -----   ---- --  --------                             -----------
   1.7e-141  457.6  10.1   1.9e-141  457.4  10.1    1.0  1  NCBI__GCF_001189915.1:WP_050460653.1  


Domain annotation for each sequence (and alignments):
>> NCBI__GCF_001189915.1:WP_050460653.1  
   #    score  bias  c-Evalue  i-Evalue hmmfrom  hmm to    alifrom  ali to    envfrom  env to     acc
 ---   ------ ----- --------- --------- ------- -------    ------- -------    ------- -------    ----
   1 !  457.4  10.1  1.9e-141  1.9e-141       1     385 []       7     391 ..       7     391 .. 0.98

  Alignments for each domain:
  == domain 1  score: 457.4 bits;  conditional E-value: 1.9e-141
                             TIGR01930   1 ivdavRtpigklggslkelsaedLlaavikelleragldpekidevilGnvlqageq.aniaReaalaaglpe 72 
                                           +v+avRt+ig +gg lk+  +  L+a+vi e+l+rag++ +++ +v++Gnv+++  q + + R aa++ g+ e
  NCBI__GCF_001189915.1:WP_050460653.1   7 VVSAVRTAIGDFGGGLKNHAPTALGAKVIAEALARAGVSGNDVGQVVFGNVIHTEPQdMYLSRVAAIKGGVTE 79 
                                           79*****************************************************999*************** PP

                             TIGR01930  73 svpaltvnrvCaSglqAvalaaqkikaGeadvvvaGGvEsmSrvpillkaslrreslklgkakledqllkdl. 144
                                           + palt+nr+C+SglqA+++aaq+i  G+a+++vaGG+EsmSr+p+l +a+  r++ ++g+++l d+l+  l 
  NCBI__GCF_001189915.1:WP_050460653.1  80 QAPALTLNRLCGSGLQAIISAAQSILLGDAEIAVAGGAESMSRAPHLAPAA--RWGTRMGDSHLIDMLIGALq 150
                                           ***********************************************9997..9************8888889 PP

                             TIGR01930 145 .vktklsmgetAenlakkygisReeqDeyalrShqkaakAieegkfkdeivpvevkgk..kkvvskDegirpn 214
                                            + ++++mg+tAen+a++ygisR++qDe+a++Sh++aa+Ai+eg+f ++i+pv+   +  ++v+++De++rp+
  NCBI__GCF_001189915.1:WP_050460653.1 151 dPFHAIHMGVTAENVAERYGISRQQQDELAVESHRRAAAAIAEGRFRSQILPVVSASRkgEVVFDEDEHVRPG 223
                                           999*************************************************99988899************* PP

                             TIGR01930 215 ttlekLakLkpafkekkgstvtAgNssqlnDGAaalllmseevakelgltplarivsaavagvdpeemglgpv 287
                                           ttle+La +++af++ +g tvtAgN+s++nDGAaal+lm+   a++ gltp+ar+vs+a+agvdp++mg+gpv
  NCBI__GCF_001189915.1:WP_050460653.1 224 TTLEQLAAMRTAFQK-SG-TVTAGNASGINDGAAALVLMEAGEARRRGLTPMARLVSYAHAGVDPKYMGIGPV 294
                                           *************95.8*.6***************************************************** PP

                             TIGR01930 288 pAiekaLkkaglsisdidlvEinEAFAaqvlavekelgsldlekvNvnGGAiAlGHPlGasGarivltllkeL 360
                                           pA+++aL++agls+ ++d++E nEAFAaq+ av++elg ld+++vN nG+ i+lGHP+Ga+Ga+i ++ l+eL
  NCBI__GCF_001189915.1:WP_050460653.1 295 PATRQALERAGLSVAELDVIEANEAFAAQACAVANELG-LDPARVNPNGSGISLGHPIGATGAIIAVKALYEL 366
                                           **************************************.99******************************** PP

                             TIGR01930 361 kergkkyGlatlCvggGqGaAvile 385
                                           ++ g++y+l+t+C+ggGqG+A+i+e
  NCBI__GCF_001189915.1:WP_050460653.1 367 QRSGGRYALTTMCIGGGQGIAAIFE 391
                                           ***********************97 PP



Internal pipeline statistics summary:
-------------------------------------
Query model(s):                            1  (385 nodes)
Target sequences:                          1  (393 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: 24.61
//
[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