GapMind for catabolism of small carbon sources

 

Alignments for a candidate for rbsK in Burkholderia phytofirmans PsJN

Align Ribokinase (EC 2.7.1.15) (characterized)
to candidate BPHYT_RS20695 BPHYT_RS20695 ribokinase

Query= reanno::pseudo1_N1B4:Pf1N1B4_6031
         (305 letters)



>FitnessBrowser__BFirm:BPHYT_RS20695
          Length = 310

 Score =  315 bits (808), Expect = 7e-91
 Identities = 167/300 (55%), Positives = 213/300 (71%), Gaps = 2/300 (0%)

Query: 4   KVVVIGSLNMDLVTRAPRLPRGGETLIGKSFATVSGGKGANQAVAAARLGAQVSMVGCVG 63
           +V+V+GS+N DLV RAP LPR GET+ G  F+ V+GGKG NQAVAAAR+GAQV+MVGCVG
Sbjct: 9   RVLVVGSINTDLVARAPHLPRPGETIGGHEFSQVAGGKGGNQAVAAARIGAQVAMVGCVG 68

Query: 64  NDAYGEALRGALLAEQIDCQAVSTVEDS-SGVALIVVDDNSQNAIVIVAGANGALTPEVI 122
            DA G      L AE IDC  +       +GVA++ V D+ QN IV+VAG+NG LTPE +
Sbjct: 69  KDANGAQRVKDLEAEGIDCSGIEVHPGQPTGVAMVTVSDDGQNTIVVVAGSNGELTPESV 128

Query: 123 DRFDAVLQAADVIICQLEVPDATVGHALKRGRELGKTVILNPAPASRPLPVDWYAAIDYL 182
            R +A ++A DV++CQLE P  +V   L   R LGK  +LNPAPA+ PLP +W   +DYL
Sbjct: 129 ARHEAAIKACDVVVCQLETPWDSVHATLALARRLGKITVLNPAPATGPLPAEWLPLVDYL 188

Query: 183 IPNESEASVLSGLPVDSLSTAETAATRLIAMGAGKVIITLGSQGS-LFADGQRFEHFPAA 241
           +PNE EA++L+GLPV+S S A  AAT L   GA  VI+TLG+QG+ L  +G    HFPA 
Sbjct: 189 VPNEVEAAILAGLPVESQSGARRAATELQQGGARNVIVTLGAQGAYLLVEGGEGMHFPAP 248

Query: 242 KVKAVDTTAAGDTFVGGFAAALAAGKGEADAIRFGQVAAALSVTRAGAQPSIPTLSDVQA 301
           +V+AVDTTAAGDTF+G FAA LA+ +    AI   Q AA++SVTRAGAQPSIPT ++V +
Sbjct: 249 QVQAVDTTAAGDTFIGVFAAQLASRQPLESAISLAQRAASISVTRAGAQPSIPTRAEVDS 308


Lambda     K      H
   0.316    0.132    0.369 

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: 306
Number of extensions: 10
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: 305
Length of database: 310
Length adjustment: 27
Effective length of query: 278
Effective length of database: 283
Effective search space:    78674
Effective search space used:    78674
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: 48 (23.1 bits)

Align candidate BPHYT_RS20695 BPHYT_RS20695 (ribokinase)
to HMM TIGR02152 (rbsK: ribokinase (EC 2.7.1.15))

# 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/TIGR02152.hmm
# target sequence database:        /tmp/gapView.31453.genome.faa
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

Query:       TIGR02152  [M=298]
Accession:   TIGR02152
Description: D_ribokin_bact: ribokinase
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
    ------- ------ -----    ------- ------ -----   ---- --  --------                                -----------
   4.1e-116  373.5   2.3   4.6e-116  373.3   2.3    1.0  1  lcl|FitnessBrowser__BFirm:BPHYT_RS20695  BPHYT_RS20695 ribokinase


Domain annotation for each sequence (and alignments):
>> lcl|FitnessBrowser__BFirm:BPHYT_RS20695  BPHYT_RS20695 ribokinase
   #    score  bias  c-Evalue  i-Evalue hmmfrom  hmm to    alifrom  ali to    envfrom  env to     acc
 ---   ------ ----- --------- --------- ------- -------    ------- -------    ------- -------    ----
   1 !  373.3   2.3  4.6e-116  4.6e-116       1     297 [.      10     307 ..      10     308 .. 0.99

  Alignments for each domain:
  == domain 1  score: 373.3 bits;  conditional E-value: 4.6e-116
                                TIGR02152   1 ivvvGSinvDlvlrvkrlpkpGetvkaeefkiaaGGKGANQAvaaarlgaevsmigkvGkDefgeellen 70 
                                              ++vvGSin+Dlv+r+++lp+pGet+ ++ef+++aGGKG NQAvaaar+ga+v+m+g+vGkD+ g++ +++
  lcl|FitnessBrowser__BFirm:BPHYT_RS20695  10 VLVVGSINTDLVARAPHLPRPGETIGGHEFSQVAGGKGGNQAVAAARIGAQVAMVGCVGKDANGAQRVKD 79 
                                              79******************************************************************** PP

                                TIGR02152  71 lkkegidteyvkkvkktstGvAlilvdeegeNsIvvvaGaneeltpedvkaaeekikesdlvllQlEipl 140
                                              l++egid++ ++ +  ++tGvA+++v+++g+N+IvvvaG+n eltpe v+++e++ik++d+v++QlE+p 
  lcl|FitnessBrowser__BFirm:BPHYT_RS20695  80 LEAEGIDCSGIEVHPGQPTGVAMVTVSDDGQNTIVVVAGSNGELTPESVARHEAAIKACDVVVCQLETPW 149
                                              ********************************************************************** PP

                                TIGR02152 141 etveealkiakkagvkvllnPAPaekkldeellslvdiivpNetEaeiLtgievedledaekaaekllek 210
                                              ++v++ l +a++ g+ ++lnPAPa+  l++e+l lvd++vpNe Ea+iL g  ve+++ a++aa++l++ 
  lcl|FitnessBrowser__BFirm:BPHYT_RS20695 150 DSVHATLALARRLGKITVLNPAPATGPLPAEWLPLVDYLVPNEVEAAILAGLPVESQSGARRAATELQQG 219
                                              ********************************************************************** PP

                                TIGR02152 211 gvkaviitlGskGallvskd.ekklipalkvkavDttaAGDtFigalavaLaegksledavrfanaaaal 279
                                              g+++vi+tlG++Ga+l+ ++ e  ++pa +v+avDttaAGDtFig +a++La+ + le+a++ a++aa++
  lcl|FitnessBrowser__BFirm:BPHYT_RS20695 220 GARNVIVTLGAQGAYLLVEGgEGMHFPAPQVQAVDTTAAGDTFIGVFAAQLASRQPLESAISLAQRAASI 289
                                              **************998777699*********************************************** PP

                                TIGR02152 280 sVtrkGaqssiPtkeeve 297
                                              sVtr+Gaq+siPt++ev+
  lcl|FitnessBrowser__BFirm:BPHYT_RS20695 290 SVTRAGAQPSIPTRAEVD 307
                                              ****************97 PP



Internal pipeline statistics summary:
-------------------------------------
Query model(s):                            1  (298 nodes)
Target sequences:                          1  (310 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: 00:00:00.01
# Mc/sec: 6.70
//
[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:

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:

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:

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:

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