Alignments for a candidate for sdaB in Pseudomonas fluorescens GW456-L13

GapMind for catabolism of small carbon sources

Alignments for a candidate for sdaB in Pseudomonas fluorescens GW456-L13

Align L-serine ammonia-lyase (EC 4.3.1.17) (characterized)
to candidate PfGW456L13_1867 L-serine dehydratase (EC 4.3.1.17)

Query= reanno::pseudo6_N2E2:Pf6N2E2_5557
         (458 letters)



>FitnessBrowser__pseudo13_GW456_L13:PfGW456L13_1867
          Length = 458

 Score =  861 bits (2225), Expect = 0.0
 Identities = 432/458 (94%), Positives = 443/458 (96%)

Query: 1   MSLSVFDLFKIGIGPSSSHTVGPMRAAARFAEGLRRDDLLNCTTSVKVELYGSLGATGKG 60
           MSLSVFDLFKIGIGPSSSHTVGPMRAAARFAEGLRR++LL  T  VKVELYGSLGATGKG
Sbjct: 1   MSLSVFDLFKIGIGPSSSHTVGPMRAAARFAEGLRRENLLEATACVKVELYGSLGATGKG 60

Query: 61  HGSDKAVLLGLEGEHPDTVDTETVDARLQAIRSSGRLNLLGEHSIEFNEKLHLAMIRKPL 120
           HGSDKAVLLGLEGEHPDTVDTETV ARLQ IR +GRLNLLGEH I FNEK HLAMIRKPL
Sbjct: 61  HGSDKAVLLGLEGEHPDTVDTETVAARLQEIRGNGRLNLLGEHCIAFNEKEHLAMIRKPL 120

Query: 121 AFHPNGMIFRAFDAAGLQVRSREYYSVGGGFVVDEGAAGADRIVEDATPLTFPFKSAKDL 180
           A+HPNGMIFRAFDAAGLQ+RSREYYSVGGGFVVDE AAGADRIVEDATPLTFPFKSAKDL
Sbjct: 121 AYHPNGMIFRAFDAAGLQIRSREYYSVGGGFVVDEDAAGADRIVEDATPLTFPFKSAKDL 180

Query: 181 LGHCSTYGLSISQVMLTNESAWRPEAETRAGLLKIWQVMQDCVAAGCRNEGILPGGLKVK 240
           LGHC  YGLSISQVMLTNESAWRPEAETRAGLLKIWQVMQDCVAAGCRNEGILPGGLKVK
Sbjct: 181 LGHCVKYGLSISQVMLTNESAWRPEAETRAGLLKIWQVMQDCVAAGCRNEGILPGGLKVK 240

Query: 241 RRAAALHRQLCKNPEAALRDPLSVLDWVNLYALAVNEENAYGGRVVTAPTNGAAGIIPAV 300
           RRAAALHRQLCKNPE++LRDPLSVLDWVNLYALAVNEENA GGRVVTAPTNGAAGIIPAV
Sbjct: 241 RRAAALHRQLCKNPESSLRDPLSVLDWVNLYALAVNEENANGGRVVTAPTNGAAGIIPAV 300

Query: 301 LHYYMRFIPGASEDGVVRFLLTAAAIGILYKENASISGAEVGCQGEVGVACSMAAGALCE 360
           LHYYMRFIPG+++DGVVRFLLTAAAIGILYKENASISGAEVGCQGEVGVACSMAAGALCE
Sbjct: 301 LHYYMRFIPGSNDDGVVRFLLTAAAIGILYKENASISGAEVGCQGEVGVACSMAAGALCE 360

Query: 361 VLGGSVQQVENAAEIGMEHNLGLTCDPIGGLVQVPCIERNAMGSVKAINAVRMAMRGDGH 420
           VLGGSVQQVENAAEIGMEHNLGLTCDPIGGLVQVPCIERNAMGSVKAINAVRMA+RGDG 
Sbjct: 361 VLGGSVQQVENAAEIGMEHNLGLTCDPIGGLVQVPCIERNAMGSVKAINAVRMALRGDGQ 420

Query: 421 HFVSLDKVIRTMRQTGADMKSKYKETARGGLAVNIIEC 458
           HFVSLDKVIRTMRQTGADMKSKYKETARGGLAVNIIEC
Sbjct: 421 HFVSLDKVIRTMRQTGADMKSKYKETARGGLAVNIIEC 458


Lambda     K      H
   0.320    0.136    0.401 

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: 881
Number of extensions: 29
Number of successful extensions: 1
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: 458
Length of database: 458
Length adjustment: 33
Effective length of query: 425
Effective length of database: 425
Effective search space:   180625
Effective search space used:   180625
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: 51 (24.3 bits)

Align candidate PfGW456L13_1867 (L-serine dehydratase (EC 4.3.1.17))
to HMM TIGR00720 (L-serine ammonia-lyase (EC 4.3.1.17))

# 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/TIGR00720.hmm
# target sequence database:        /tmp/gapView.23611.genome.faa
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

Query:       TIGR00720  [M=450]
Accession:   TIGR00720
Description: sda_mono: L-serine ammonia-lyase
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
    ------- ------ -----    ------- ------ -----   ---- --  --------                                               -----------
   4.4e-222  723.7   0.1   5.1e-222  723.5   0.1    1.0  1  lcl|FitnessBrowser__pseudo13_GW456_L13:PfGW456L13_1867  L-serine dehydratase (EC 4.3.1.1


Domain annotation for each sequence (and alignments):
>> lcl|FitnessBrowser__pseudo13_GW456_L13:PfGW456L13_1867  L-serine dehydratase (EC 4.3.1.17)
   #    score  bias  c-Evalue  i-Evalue hmmfrom  hmm to    alifrom  ali to    envfrom  env to     acc
 ---   ------ ----- --------- --------- ------- -------    ------- -------    ------- -------    ----
   1 !  723.5   0.1  5.1e-222  5.1e-222       2     450 .]       4     455 ..       3     455 .. 0.99

  Alignments for each domain:
  == domain 1  score: 723.5 bits;  conditional E-value: 5.1e-222
                                               TIGR00720   2 svfdlfkiGiGPssshtvGPmkaakefveelkkkgkleqvkrvkvdlyGslaltG 56 
                                                             svfdlfkiGiGPssshtvGPm+aa++f+e l++++ le+++ vkv+lyGsl++tG
  lcl|FitnessBrowser__pseudo13_GW456_L13:PfGW456L13_1867   4 SVFDLFKIGIGPSSSHTVGPMRAAARFAEGLRRENLLEATACVKVELYGSLGATG 58 
                                                             9****************************************************** PP

                                               TIGR00720  57 kGhktdkavllGleGelpeevdiesieklleeveeekklklanqkeikfdlekdl 111
                                                             kGh++dkavllGleGe+p++vd+e++ ++l+e++ +++l+l++++ i f+++++l
  lcl|FitnessBrowser__pseudo13_GW456_L13:PfGW456L13_1867  59 KGHGSDKAVLLGLEGEHPDTVDTETVAARLQEIRGNGRLNLLGEHCIAFNEKEHL 113
                                                             ******************************************************* PP

                                               TIGR00720 112 afkdevlplhenglrlkaydeegevlkektyysvGGGfivdeeelkkeeeeee.. 164
                                                             a+ ++ l +h+ng+ ++a+d +g ++++++yysvGGGf+vde++++ ++  e+  
  lcl|FitnessBrowser__pseudo13_GW456_L13:PfGW456L13_1867 114 AMIRKPLAYHPNGMIFRAFDAAGLQIRSREYYSVGGGFVVDEDAAGADRIVEDat 168
                                                             *******************************************999887666634 PP

                                               TIGR00720 165 evpypfksaaellelCkeeglsisevvlenekalrseeevraklleiwkvmeeci 219
                                                              +++pfksa++ll +C + glsis+v+l+ne a+r+e+e+ra ll+iw+vm++c+
  lcl|FitnessBrowser__pseudo13_GW456_L13:PfGW456L13_1867 169 PLTFPFKSAKDLLGHCVKYGLSISQVMLTNESAWRPEAETRAGLLKIWQVMQDCV 223
                                                             7889*************************************************** PP

                                               TIGR00720 220 erglkaegvlpGglkvkrraaslkrklkakeets.kdplavldwvnlyalavnee 273
                                                               g+++eg+lpGglkvkrraa+l+r+l ++ e+s +dpl+vldwvnlyalavnee
  lcl|FitnessBrowser__pseudo13_GW456_L13:PfGW456L13_1867 224 AAGCRNEGILPGGLKVKRRAAALHRQLCKNPESSlRDPLSVLDWVNLYALAVNEE 278
                                                             *******************************9999******************** PP

                                               TIGR00720 274 naaGgrvvtaPtnGaagiiPavlayykkfveeaseekvvrflltagaiGilyken 328
                                                             na GgrvvtaPtnGaagiiPavl+yy +f++ ++++ vvrfllta+aiGilyken
  lcl|FitnessBrowser__pseudo13_GW456_L13:PfGW456L13_1867 279 NANGGRVVTAPTNGAAGIIPAVLHYYMRFIPGSNDDGVVRFLLTAAAIGILYKEN 333
                                                             ******************************************************* PP

                                               TIGR00720 329 asisgaevGCqgevGvacsmaaaglaellggtpeqvenaaeiamehnlGltCdPv 383
                                                             asisgaevGCqgevGvacsmaa++l+e+lgg+++qvenaaei+mehnlGltCdP+
  lcl|FitnessBrowser__pseudo13_GW456_L13:PfGW456L13_1867 334 ASISGAEVGCQGEVGVACSMAAGALCEVLGGSVQQVENAAEIGMEHNLGLTCDPI 388
                                                             ******************************************************* PP

                                               TIGR00720 384 gGlvqiPCiernaiaavkainaarlalkedgkkkvsldkvietmretGkdmkaky 438
                                                             gGlvq+PCierna+++vkaina r+al++dg+++vsldkvi+tmr+tG+dmk+ky
  lcl|FitnessBrowser__pseudo13_GW456_L13:PfGW456L13_1867 389 GGLVQVPCIERNAMGSVKAINAVRMALRGDGQHFVSLDKVIRTMRQTGADMKSKY 443
                                                             ******************************************************* PP

                                               TIGR00720 439 ketskgGlavkv 450
                                                             ket++gGlav++
  lcl|FitnessBrowser__pseudo13_GW456_L13:PfGW456L13_1867 444 KETARGGLAVNI 455
                                                             **********96 PP



Internal pipeline statistics summary:
-------------------------------------
Query model(s):                            1  (450 nodes)
Target sequences:                          1  (458 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: 0.02u 0.01s 00:00:00.03 Elapsed: 00:00:00.01
# Mc/sec: 11.02
//
[ok]

This GapMind analysis is from Sep 17 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