Aligments for a candidate for lpd in Pseudomonas fluorescens GW456-L13

GapMind for catabolism of small carbon sources

Aligments for a candidate for lpd in Pseudomonas fluorescens GW456-L13

Align dihydrolipoyl dehydrogenase; EC 1.8.1.4 (characterized)
to candidate PfGW456L13_4267 Dihydrolipoamide dehydrogenase of 2-oxoglutarate dehydrogenase (EC 1.8.1.4)

Query= CharProtDB::CH_015561
         (478 letters)



>FitnessBrowser__pseudo13_GW456_L13:PfGW456L13_4267
          Length = 478

 Score =  854 bits (2207), Expect = 0.0
 Identities = 436/478 (91%), Positives = 455/478 (95%)

Query: 1   MTQKFDVVVIGAGPGGYVAAIKAAQLGLKTACIEKYTDAEGKLALGGTCLNVGCIPSKAL 60
           M+QKFDVVVIGAGPGGYVAAIKAAQLGL TACIEKYTD EGKLALGGTCLNVGCIPSKAL
Sbjct: 1   MSQKFDVVVIGAGPGGYVAAIKAAQLGLSTACIEKYTDKEGKLALGGTCLNVGCIPSKAL 60

Query: 61  LDSSWKYKEAKESFNVHGISTGEVKMDVAAMVGRKAGIVKNLTGGVATLFKANGVTSIQG 120
           LDSSWK+ EA++ F +HGI+   V MDV AMVGRKA IVK LT GVATLFKANGVTSIQG
Sbjct: 61  LDSSWKFHEAQDGFAIHGINHAGVTMDVPAMVGRKANIVKGLTSGVATLFKANGVTSIQG 120

Query: 121 HGKLLAGKKVEVTKADGTTEVIEAENVILASGSRPIDIPPAPVDQNVIVDSTGALEFQAV 180
           HGKLLAGKKVEVTK DG+ E+IEAENVILA GSRPIDIPPAPVDQNVIVDSTGALEFQ+V
Sbjct: 121 HGKLLAGKKVEVTKPDGSVEIIEAENVILAPGSRPIDIPPAPVDQNVIVDSTGALEFQSV 180

Query: 181 PKRLGVIGAGVIGLELGSVWARLGAEVTVLEALDTFLMAADTAVSKEAQKTLTKQGLDIK 240
           PKRLGVIGAGVIGLELGSVW+RLGAEVTVLEALDTFLMAADTAVSKEA KTLTKQGLDIK
Sbjct: 181 PKRLGVIGAGVIGLELGSVWSRLGAEVTVLEALDTFLMAADTAVSKEALKTLTKQGLDIK 240

Query: 241 LGARVTGSKVNGNEVEVTYTNAEGEQKITFDKLIVAVGRRPVTTDLLAADSGVTIDERGY 300
           LGARVTGSKVNG+EV V YT+A+GEQ ITFDKLIVAVGRRPVTTDLLAAD GVT+DERG+
Sbjct: 241 LGARVTGSKVNGDEVVVNYTDAKGEQNITFDKLIVAVGRRPVTTDLLAADCGVTLDERGF 300

Query: 301 IFVDDYCATSVPGVYAIGDVVRGMMLAHKASEEGIMVVERIKGHKAQMNYDLIPSVIYTH 360
           + VDD+CAT+VPGVYAIGDVVRGMMLAHKASEEGIMVVERIKGHKAQMNYDLIPSVIYTH
Sbjct: 301 VHVDDHCATTVPGVYAIGDVVRGMMLAHKASEEGIMVVERIKGHKAQMNYDLIPSVIYTH 360

Query: 361 PEIAWVGKTEQALKAEGVEVNVGTFPFAASGRAMAANDTGGFVKVIADAKTDRVLGVHVI 420
           PEIAWVGKTEQALKAEGVEVNVGTFPFAASGRAMAANDTGGFVKVIADAKTDRVLGVHVI
Sbjct: 361 PEIAWVGKTEQALKAEGVEVNVGTFPFAASGRAMAANDTGGFVKVIADAKTDRVLGVHVI 420

Query: 421 GPSAAELVQQGAIAMEFGTSAEDLGMMVFSHPTLSEALHEAALAVNGGAIHVANRKKR 478
           GPSAAELVQQGAI MEFGTSAEDLGMMVFSHPTLSEALHEAALAVNGGAIH+ANRKKR
Sbjct: 421 GPSAAELVQQGAIGMEFGTSAEDLGMMVFSHPTLSEALHEAALAVNGGAIHIANRKKR 478


Lambda     K      H
   0.316    0.133    0.374 

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: 890
Number of extensions: 18
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: 478
Length of database: 478
Length adjustment: 34
Effective length of query: 444
Effective length of database: 444
Effective search space:   197136
Effective search space used:   197136
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: 51 (24.3 bits)

Align candidate PfGW456L13_4267 (Dihydrolipoamide dehydrogenase of 2-oxoglutarate dehydrogenase (EC 1.8.1.4))
to HMM TIGR01350 (lpdA: dihydrolipoyl dehydrogenase (EC 1.8.1.4))

# 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/TIGR01350.hmm
# target sequence database:        /tmp/gapView.16009.genome.faa
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

Query:       TIGR01350  [M=461]
Accession:   TIGR01350
Description: lipoamide_DH: dihydrolipoyl dehydrogenase
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
    ------- ------ -----    ------- ------ -----   ---- --  --------                                               -----------
   9.3e-165  534.7  10.5   1.1e-164  534.5  10.5    1.0  1  lcl|FitnessBrowser__pseudo13_GW456_L13:PfGW456L13_4267  Dihydrolipoamide dehydrogenase o


Domain annotation for each sequence (and alignments):
>> lcl|FitnessBrowser__pseudo13_GW456_L13:PfGW456L13_4267  Dihydrolipoamide dehydrogenase of 2-oxoglutarate dehydrogenas
   #    score  bias  c-Evalue  i-Evalue hmmfrom  hmm to    alifrom  ali to    envfrom  env to     acc
 ---   ------ ----- --------- --------- ------- -------    ------- -------    ------- -------    ----
   1 !  534.5  10.5  1.1e-164  1.1e-164       1     461 []       4     472 ..       4     472 .. 0.97

  Alignments for each domain:
  == domain 1  score: 534.5 bits;  conditional E-value: 1.1e-164
                                               TIGR01350   1 eydvvviGgGpgGYvaAiraaqlglkvalvek..ek.....lGGtClnvGCiPtK 48 
                                                             ++dvvviG+GpgGYvaAi+aaqlgl++a++ek  +k     lGGtClnvGCiP+K
  lcl|FitnessBrowser__pseudo13_GW456_L13:PfGW456L13_4267   4 KFDVVVIGAGPGGYVAAIKAAQLGLSTACIEKytDKegklaLGGTCLNVGCIPSK 58 
                                                             59*****************************95421344449************* PP

                                               TIGR01350  49 alLksaevveelke.akelgievenvkldlekllerkekvvkklvgGvkaLlkkn 102
                                                             alL s+  ++e+++ ++ +gi+ ++v++d+ +++ rk ++vk l++Gv++L+k n
  lcl|FitnessBrowser__pseudo13_GW456_L13:PfGW456L13_4267  59 ALLDSSWKFHEAQDgFAIHGINHAGVTMDVPAMVGRKANIVKGLTSGVATLFKAN 113
                                                             ******************************************************* PP

                                               TIGR01350 103 kvevikGeaklldkkevevkkekke.kkleakniiiAtGseprelplkleedekv 156
                                                             +v++i+G++kll  k+vev+k +++ + +ea+n+i+A Gs+p+ +p    +d++v
  lcl|FitnessBrowser__pseudo13_GW456_L13:PfGW456L13_4267 114 GVTSIQGHGKLLAGKKVEVTKPDGSvEIIEAENVILAPGSRPIDIPP-APVDQNV 167
                                                             *********************9988899******************9.8999999 PP

                                               TIGR01350 157 vitseealelkevpeslvivGgGviGvEfasifaklGvkvtvielldrilpalda 211
                                                             +++s++ale+++vp++l ++G+GviG+E++s++++lG++vtv+e+ld+ l a d+
  lcl|FitnessBrowser__pseudo13_GW456_L13:PfGW456L13_4267 168 IVDSTGALEFQSVPKRLGVIGAGVIGLELGSVWSRLGAEVTVLEALDTFLMAADT 222
                                                             ******************************************************* PP

                                               TIGR01350 212 evskvlkkklkkkgvkiltnakvtevekeedevvveakkk.evetleaekvLvav 265
                                                              vsk++ k+l+k+g++i+ +a+vt  + + devvv+  +   +++++ +k++vav
  lcl|FitnessBrowser__pseudo13_GW456_L13:PfGW456L13_4267 223 AVSKEALKTLTKQGLDIKLGARVTGSKVNGDEVVVNYTDAkGEQNITFDKLIVAV 277
                                                             ************************99999999996666554679*********** PP

                                               TIGR01350 266 GrkpnleelgleklgveldergaikvdeelrtnvpgiyaiGDvigklmLAhvAsk 320
                                                             Gr+p +++l  +  gv+lderg+++vd+++ t+vpg+yaiGDv++++mLAh+As+
  lcl|FitnessBrowser__pseudo13_GW456_L13:PfGW456L13_4267 278 GRRPVTTDLLAADCGVTLDERGFVHVDDHCATTVPGVYAIGDVVRGMMLAHKASE 332
                                                             ******************************************************* PP

                                               TIGR01350 321 egvvaaekiagkekseidykavPsviytePevasvGlteeqakeegievkvgkfp 375
                                                             eg++++e+i g+++ +++y+++Psviyt+Pe+a vG+te+ +k+eg+ev+vg fp
  lcl|FitnessBrowser__pseudo13_GW456_L13:PfGW456L13_4267 333 EGIMVVERIKGHKA-QMNYDLIPSVIYTHPEIAWVGKTEQALKAEGVEVNVGTFP 386
                                                             ***********665.9*************************************** PP

                                               TIGR01350 376 faangkalaleetdGfvkvivdkktgeilGahivgaeaseliselalaveleltv 430
                                                             faa+g+a+a+++t Gfvkvi+d kt+++lG+h++g++a+el+++ a+ +e+++++
  lcl|FitnessBrowser__pseudo13_GW456_L13:PfGW456L13_4267 387 FAASGRAMAANDTGGFVKVIADAKTDRVLGVHVIGPSAAELVQQGAIGMEFGTSA 441
                                                             ******************************************************* PP

                                               TIGR01350 431 eelaktihpHPtlsEaikeaalaalgkaihv 461
                                                             e+l ++++ HPtlsEa++eaala++g aih+
  lcl|FitnessBrowser__pseudo13_GW456_L13:PfGW456L13_4267 442 EDLGMMVFSHPTLSEALHEAALAVNGGAIHI 472
                                                             *****************************95 PP



Internal pipeline statistics summary:
-------------------------------------
Query model(s):                            1  (461 nodes)
Target sequences:                          1  (478 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 0.01s 00:00:00.02 Elapsed: 00:00:00.02
# Mc/sec: 7.91
//
[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, or view the source code.

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