Alignments for a candidate for fadA in Chryseobacterium arthrosphaerae CC-VM-7

GapMind for catabolism of small carbon sources

Alignments for a candidate for fadA in Chryseobacterium arthrosphaerae CC-VM-7

Align Acetyl-CoA acetyltransferase, mitochondrial; Acetoacetyl-CoA thiolase; T2; EC 2.3.1.9 (characterized)
to candidate WP_065398036.1 BBI00_RS06705 acetyl-CoA C-acyltransferase

Query= SwissProt::P24752
         (427 letters)



>NCBI__GCF_001684965.1:WP_065398036.1
          Length = 392

 Score =  442 bits (1138), Expect = e-129
 Identities = 223/392 (56%), Positives = 293/392 (74%), Gaps = 3/392 (0%)

Query: 39  LKEVVIVSATRTPIGSFLGSLSLLPATKLGSIAIQGAIEKAGIPKEEVKEAYMGNVLQGG 98
           +KEV IVSA RTP+GSF+GSLS +PATKLG+ A++GA++K G+    V+E YMGNVLQ G
Sbjct: 1   MKEVFIVSAVRTPMGSFMGSLSTVPATKLGATAVKGALDKIGLDPANVQEIYMGNVLQAG 60

Query: 99  EGQAPTRQAVLGAGLPISTPCTTINKVCASGMKAIMMASQSLMCGHQDVMVAGGMESMSN 158
           EGQAP RQ  LGAGL I+TP TT+NKVCASGMKA+ MA+Q++  G  +V+VAGGME+MS 
Sbjct: 61  EGQAPARQVALGAGLSINTPSTTVNKVCASGMKAVTMAAQAIKAGDAEVIVAGGMENMSL 120

Query: 159 VPYVMN-RGSTPYGGVKLEDLIVKDGLTDVYNKIHMGSCAENTAKKLNIARNEQDAYAIN 217
           VP+  N R +T  G +K++D +V DGLTDVYNK+HMG CAE  A   NI R +QD +A+ 
Sbjct: 121 VPHYYNARVATKLGDIKMQDGMVLDGLTDVYNKVHMGVCAEKCAADYNITREDQDNFAVE 180

Query: 218 SYTRSKAAWEAGKFGNEVIPVTVTVKGQPDVVVKEDEEYKRVDFSKVPKLKTVFQKENGT 277
           SY RS  AW  GKF  E++PV++  +    V+  EDEEYK V+F ++  L TVF+KE GT
Sbjct: 181 SYKRSAKAWSEGKFNEEIVPVSIPQRKGEPVIFAEDEEYKAVNFDRISTLPTVFKKEEGT 240

Query: 278 VTAANASTLNDGAAALVLMTADAAKRLNVTPLARIVAFADAAVEPIDFPIAPVYAASMVL 337
           VTAANASTLNDGA+AL+L++ +  + L + PLA+IV++ADAA EP +F  AP  A  + L
Sbjct: 241 VTAANASTLNDGASALILVSKEKMEELGLKPLAKIVSYADAAQEPENFTTAPAKALPIAL 300

Query: 338 KDVGLKKEDIAMWEVNEAFSLVVLANIKMLEIDPQKVNINGGAVSLGHPIGMSGARIVGH 397
           K  GL+  DI  +E NEAFS+V LAN ++L +D  KVN+NGGAV+LGHP+G SG+RI+  
Sbjct: 301 KKAGLELSDIDFFEFNEAFSVVGLANNQILGLDASKVNVNGGAVALGHPLGSSGSRIIVT 360

Query: 398 LTHALKQ--GEYGLASICNGGGGASAMLIQKL 427
           L + LKQ   +YG A+ICNGGGGASA++I+ +
Sbjct: 361 LINVLKQNNAKYGAAAICNGGGGASAIVIENI 392


Lambda     K      H
   0.316    0.132    0.368 

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: 492
Number of extensions: 20
Number of successful extensions: 3
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: 427
Length of database: 392
Length adjustment: 31
Effective length of query: 396
Effective length of database: 361
Effective search space:   142956
Effective search space used:   142956
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_065398036.1 BBI00_RS06705 (acetyl-CoA C-acyltransferase)
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.1755281.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
    ------- ------ -----    ------- ------ -----   ---- --  --------                             -----------
   2.5e-146  473.5   7.0   2.8e-146  473.3   7.0    1.0  1  NCBI__GCF_001684965.1:WP_065398036.1  


Domain annotation for each sequence (and alignments):
>> NCBI__GCF_001684965.1:WP_065398036.1  
   #    score  bias  c-Evalue  i-Evalue hmmfrom  hmm to    alifrom  ali to    envfrom  env to     acc
 ---   ------ ----- --------- --------- ------- -------    ------- -------    ------- -------    ----
   1 !  473.3   7.0  2.8e-146  2.8e-146       1     385 []       6     390 ..       6     390 .. 0.98

  Alignments for each domain:
  == domain 1  score: 473.3 bits;  conditional E-value: 2.8e-146
                             TIGR01930   1 ivdavRtpigklggslkelsaedLlaavikelleragldpekidevilGnvlqageqaniaReaalaaglpes 73 
                                           iv+avRtp+g++ gsl++++a +L+a+++k++l++ gldp+++ e+++Gnvlqage++++aR++al agl+ +
  NCBI__GCF_001684965.1:WP_065398036.1   6 IVSAVRTPMGSFMGSLSTVPATKLGATAVKGALDKIGLDPANVQEIYMGNVLQAGEGQAPARQVALGAGLSIN 78 
                                           8************************************************************************ PP

                             TIGR01930  74 vpaltvnrvCaSglqAvalaaqkikaGeadvvvaGGvEsmSrvpillkaslrreslklgkakledqllkdl.. 144
                                           +p++tvn+vCaSg++Av++aaq+ikaG+a+v+vaGG+E+mS vp++ +a+      klg++k++d ++ d+  
  NCBI__GCF_001684965.1:WP_065398036.1  79 TPSTTVNKVCASGMKAVTMAAQAIKAGDAEVIVAGGMENMSLVPHYYNAR---VATKLGDIKMQDGMVLDGlt 148
                                           *********************************************99985...89999*********99999* PP

                             TIGR01930 145 .vktklsmgetAenlakkygisReeqDeyalrShqkaakAieegkfkdeivpvevkgk...kkvvskDegirp 213
                                            v++k++mg++Ae++a++y+i+Re+qD++a++S++++akA++egkf++eivpv+++++   ++++++De+ + 
  NCBI__GCF_001684965.1:WP_065398036.1 149 dVYNKVHMGVCAEKCAADYNITREDQDNFAVESYKRSAKAWSEGKFNEEIVPVSIPQRkgePVIFAEDEEYK- 220
                                           *99*****************************************************9999778888888766. PP

                             TIGR01930 214 nttlekLakLkpafkekkgstvtAgNssqlnDGAaalllmseevakelgltplarivsaavagvdpeemglgp 286
                                            ++ +++++L+++fk+++g tvtA+N+s lnDGA+al+l+s+e+++elgl+pla+ivs+a a+ +pe+++++p
  NCBI__GCF_001684965.1:WP_065398036.1 221 AVNFDRISTLPTVFKKEEG-TVTAANASTLNDGASALILVSKEKMEELGLKPLAKIVSYADAAQEPENFTTAP 292
                                           9******************.6**************************************************** PP

                             TIGR01930 287 vpAiekaLkkaglsisdidlvEinEAFAaqvlavekelgsldlekvNvnGGAiAlGHPlGasGarivltllke 359
                                           ++A + aLkkagl++sdid++E+nEAF+++ la+++ lg ld +kvNvnGGA+AlGHPlG+sG+ri++tl++ 
  NCBI__GCF_001684965.1:WP_065398036.1 293 AKALPIALKKAGLELSDIDFFEFNEAFSVVGLANNQILG-LDASKVNVNGGAVALGHPLGSSGSRIIVTLINV 364
                                           ***************************************.89******************************* PP

                             TIGR01930 360 LkergkkyGlatlCvggGqGaAvile 385
                                           Lk++++kyG a++C+ggG ++A+++e
  NCBI__GCF_001684965.1:WP_065398036.1 365 LKQNNAKYGAAAICNGGGGASAIVIE 390
                                           ************************97 PP



Internal pipeline statistics summary:
-------------------------------------
Query model(s):                            1  (385 nodes)
Target sequences:                          1  (392 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: 29.66
//
[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