Aligments for a candidate for argE in Herbaspirillum seropedicae SmR1

GapMind for Amino acid biosynthesis

Aligments for a candidate for argE in Herbaspirillum seropedicae SmR1

Align acetylornithine deacetylase (EC 3.5.1.16) (characterized)
to candidate HSERO_RS16100 HSERO_RS16100 acetylornithine deacetylase

Query= ecocyc::ACETYLORNDEACET-MONOMER
         (383 letters)



>FitnessBrowser__HerbieS:HSERO_RS16100
          Length = 400

 Score =  149 bits (375), Expect = 2e-40
 Identities = 114/350 (32%), Positives = 167/350 (47%), Gaps = 23/350 (6%)

Query: 30  QSNADLITLLADWFKDLGFNVEVQPVPGTRNKFNMLASIGQ---GAGGLLLAGHTDTVPF 86
           +SN  LI  + D  +  G    +      R K N+ A++G    G  G + +GHTD VP 
Sbjct: 32  ESNLGLIEWVRDHLERHGAVTRLT-YDAERRKANLFATLGDAGPGRFGTVFSGHTDVVPV 90

Query: 87  DDGRWTRDPFTLTEHDGKLYGLGTADMKGFFAFILDALRDVDVTKLKKPLYILATADEET 146
              +W  DPF     DGKL+G G  DMKGF A  +  L  +D+ +L  PL+   + DEE 
Sbjct: 91  TGQKWDTDPFVAHVADGKLFGRGACDMKGFIAICMARLPAIDLARLHTPLHFSFSYDEEV 150

Query: 147 SMAGARYF---AETTALRPDCAIIGEPTSLQPVRAHKGHISNAIRIQGQSGHSSDPARGV 203
              G R      +   +RP   IIGEPT +QPV AHKG  S    + G + HSS P  G+
Sbjct: 151 GCLGVRELLADLQQNDIRPTGVIIGEPTMMQPVIAHKGKRSYRCSVHGHAAHSSCPHLGI 210

Query: 204 NAIELMHDAIGHILQLRD-NLKERY---HYEAFTVPYPTLNLGHIHGGDASNRICACCEL 259
           N+I+    A    L++R+  L+ R+     + F VPY ++      GG+A N I    E 
Sbjct: 211 NSIDF---AAMMQLKIREIALRVRHSGVQDDDFDVPYSSIATTLTSGGNAPNIIPDKAEF 267

Query: 260 HMDIRPLPGM----TLNELNGLLNDALAPVS--ERWPGRLTVDELHPPIPGYECPPNHQL 313
             + R LPG+       E+       + P    +   GR+  + L    PG   P +  L
Sbjct: 268 VFEHRFLPGIDPAEVFEEVKAYAEQEILPQMRIDGVQGRIEFETL-TSYPGMCTPADDPL 326

Query: 314 VEVVEKLLGA-KTEVVNYCTEAP-FIQTLCPTLVLGPGSINQAHQPDEYL 361
           V    ++LG+ +   V + TE   F Q   P ++ GPG I  AH+P+E++
Sbjct: 327 VTSALRILGSERARKVGFGTEGGLFGQAGMPAVICGPGDIAHAHKPNEFV 376


Lambda     K      H
   0.320    0.139    0.430 

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: 385
Number of extensions: 14
Number of successful extensions: 4
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: 383
Length of database: 400
Length adjustment: 31
Effective length of query: 352
Effective length of database: 369
Effective search space:   129888
Effective search space used:   129888
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 HSERO_RS16100 HSERO_RS16100 (acetylornithine deacetylase)
to HMM TIGR01892 (argE: acetylornithine deacetylase (ArgE) (EC 3.5.1.16))

# 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.aa/TIGR01892.hmm
# target sequence database:        /tmp/gapView.16373.genome.faa
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

Query:       TIGR01892  [M=365]
Accession:   TIGR01892
Description: AcOrn-deacetyl: acetylornithine deacetylase (ArgE)
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
    ------- ------ -----    ------- ------ -----   ---- --  --------                                  -----------
   4.7e-112  360.6   0.0   5.4e-112  360.4   0.0    1.0  1  lcl|FitnessBrowser__HerbieS:HSERO_RS16100  HSERO_RS16100 acetylornithine de


Domain annotation for each sequence (and alignments):
>> lcl|FitnessBrowser__HerbieS:HSERO_RS16100  HSERO_RS16100 acetylornithine deacetylase
   #    score  bias  c-Evalue  i-Evalue hmmfrom  hmm to    alifrom  ali to    envfrom  env to     acc
 ---   ------ ----- --------- --------- ------- -------    ------- -------    ------- -------    ----
   1 !  360.4   0.0  5.4e-112  5.4e-112       1     362 [.      18     389 ..      18     392 .. 0.96

  Alignments for each domain:
  == domain 1  score: 360.4 bits;  conditional E-value: 5.4e-112
                                  TIGR01892   1 eilakLvafdsvsarsnvdlieyvedyleelgvavevlpvadgaeksnllaviGpk.egagglvlsGh 67 
                                                +il+ L++f++vs+ sn+ lie+v+d+le +g  ++    a+   k nl+a+ G +  g+ g v+sGh
  lcl|FitnessBrowser__HerbieS:HSERO_RS16100  18 DILTTLIGFNTVSRESNLGLIEWVRDHLERHGAVTRLTYDAER-RKANLFATLGDAgPGRFGTVFSGH 84 
                                                79******************************77766666665.9*********9989********** PP

                                  TIGR01892  68 tDvvPvdeaaWtsDpfrLtekdgrLYgrGtaDmkGFlalvLaavpdlaaakLkkPlhlvlsaDeevgl 135
                                                tDvvPv +++W +Dpf   + dg+L+grG++DmkGF+a+ +a +p ++ a+L+ Plh  +s+Deevg+
  lcl|FitnessBrowser__HerbieS:HSERO_RS16100  85 TDVVPVTGQKWDTDPFVAHVADGKLFGRGACDMKGFIAICMARLPAIDLARLHTPLHFSFSYDEEVGC 152
                                                ******************************************************************** PP

                                  TIGR01892 136 aGakklieala...rrpalaivGePtslvavRahkGkasakvtvrGreghssrpdrGvsaielaakll 200
                                                +G+++l++ l     rp+ +i+GePt +++v ahkGk s +  v+G+ +hss p+ G++ i  aa + 
  lcl|FitnessBrowser__HerbieS:HSERO_RS16100 153 LGVRELLADLQqndIRPTGVIIGEPTMMQPVIAHKGKRSYRCSVHGHAAHSSCPHLGINSIDFAAMMQ 220
                                                ******999887889**************************************************999 PP

                                  TIGR01892 201 arlvaladklkr.edleeaFtppyatlniGtvkGGkavniiaaaCelvlelRpipGmdpeellallek 267
                                                 ++ + a ++++ + +++ F++py+++      GG+a nii+++ e+v+e R +pG+dp+e+ +++++
  lcl|FitnessBrowser__HerbieS:HSERO_RS16100 221 LKIREIALRVRHsGVQDDDFDVPYSSIATTLTSGGNAPNIIPDKAEFVFEHRFLPGIDPAEVFEEVKA 288
                                                9*********99788999************************************************** PP

                                  TIGR01892 268 iaee.....vkekapgfevkveelsatpaleleedaelvalleklaGa.aaevvsygteagllqelGi 329
                                                 ae+     ++ +  ++ ++ e+l+ +p++ +++d +lv  + +++G+ +a+ v +gte gl+ ++G+
  lcl|FitnessBrowser__HerbieS:HSERO_RS16100 289 YAEQeilpqMRIDGVQGRIEFETLTSYPGMCTPADDPLVTSALRILGSeRARKVGFGTEGGLFGQAGM 356
                                                99888877777788899999***************************989****************** PP

                                  TIGR01892 330 eavvlGPGdidqahqpdeYveieelkrcralle 362
                                                +av++GPGdi +ah+p+e+v +e+l rc+ +  
  lcl|FitnessBrowser__HerbieS:HSERO_RS16100 357 PAVICGPGDIAHAHKPNEFVTLEQLARCERFFD 389
                                                *****************************9876 PP



Internal pipeline statistics summary:
-------------------------------------
Query model(s):                            1  (365 nodes)
Target sequences:                          1  (400 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: 00:00:00.01
# Mc/sec: 7.32
//
[ok]

This GapMind analysis is from Aug 03 2021. The underlying query database was built on Aug 03 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, or view the source code, or see changes to Amino acid biosynthesis since the publication.

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 Amino acid biosynthesis