Alignments for a candidate for betS in Pseudomonas fluorescens FW300-N2E3

GapMind for catabolism of small carbon sources

Alignments for a candidate for betS in Pseudomonas fluorescens FW300-N2E3

Align Glycine betaine/proline betaine transporter BetS (characterized)
to candidate AO353_11690 AO353_11690 choline transporter

Query= SwissProt::G3XCN6
         (706 letters)



>FitnessBrowser__pseudo3_N2E3:AO353_11690
          Length = 667

 Score =  522 bits (1345), Expect = e-152
 Identities = 264/656 (40%), Positives = 401/656 (61%), Gaps = 17/656 (2%)

Query: 50  RFKVNLPVFVGSVAVIALFVGIGVIAPKRAESIFSGMQTAILSGFGWLYLLSVAVFLFSM 109
           + ++N PVF  +   I LF  + +  P+ + +     Q    +  GW Y+L++ ++L  +
Sbjct: 11  QIRMNPPVFYFAATFILLFGLVVIAFPQESGAWLLAAQNWAANTVGWYYMLAMTLYLVFV 70

Query: 110 LFLAFSRYGELKLGPDDSEPEFRYLSWIAMLFAAGMGIGLMYFAVGEPMTHFASPPEAEP 169
           +  A S YG++KLG D  EPEF YLSW  MLFAAG+ I L +F V EP+TH   PP+ E 
Sbjct: 71  VVTALSGYGKIKLGADHDEPEFSYLSWAGMLFAAGISITLFFFCVSEPLTHMLQPPQGEA 130

Query: 170 LTIAAQREAMSVTFFHWGVHAWAIYSVVGLSLAYFGYRYNLPLTVRSGLYPLLKEGIHGP 229
            T  A R+AM V F HWG+H W +++ VG++LAYF YR+NLPL +RS LYPL+ + I+GP
Sbjct: 131 GTADAARQAMQVLFLHWGLHGWGVFAFVGMALAYFAYRHNLPLALRSALYPLIGKRINGP 190

Query: 230 IGHVVDIFAICGTMFGLATSLGFGILQINSGLNYLLGIPQSIYVQLLLVTVVTAIATISV 289
           IG+ VD F I  T+FGL   +GFG+L +NSGL+YL GI  + ++Q+ L+T++   A I  
Sbjct: 191 IGYAVDGFGIIATVFGLGADMGFGVLHLNSGLDYLFGIAHTQWIQVGLITLMMGAAIIVA 250

Query: 290 VTGVEKGVRILSETNLFLAVLLMLFVLVVGPTGTLMRDFVQNIGLYLDSLVLRTFNIYAY 349
           V GV+KGVR++S+ N+ LA  L+LFVL  GPT  L+   +QN+G YL +L +++F++YAY
Sbjct: 251 VAGVDKGVRVMSDINMLLACALLLFVLFAGPTQHLLNTLIQNLGDYLGALPMKSFDLYAY 310

Query: 350 E-PRPWIDSWTLFYWAWWISWSPFVGMFIARISRGRTVREFVTAVLFVPAMFTFLWMTVF 408
           + P  W+  WT+FYWAWWI+WSPFVG+FIARISRGRT+REFV  VL +P  FT  WM++F
Sbjct: 311 DKPSDWLGGWTVFYWAWWIAWSPFVGLFIARISRGRTIREFVFGVLLIPLGFTLAWMSIF 370

Query: 409 GNTAIYVDTTIANGELARDVKA--DLSVALFQFFEYLPWPAVTSTLAVLLVSIFFVTSSD 466
           GN+AI  D  + +G  A  + A  + S+ L+   E  PW      + V +  +FFVTS+D
Sbjct: 371 GNSAI--DQVLNHGMSALGLSAIENPSMTLYLLLETYPWSKTVIAVTVFISFVFFVTSAD 428

Query: 467 SGSLVIDTIASGGETAT---PALQRIFWCSLSGIVAAVLLSTGGLTALQSATISTALPFS 523
           SG++V+ T+++ G  A    P   R+FW +++ +V + LL  G + +L+SA + T+LPFS
Sbjct: 429 SGTVVLSTLSAKGGNADEDGPKWLRVFWGAMTALVTSALLFAGSIDSLKSAVVLTSLPFS 488

Query: 524 LVMLILVWSL----FVGMRADLARTQSPGSLGPRAYPASGVPWQRRLAMTLSTPDRRAVE 579
           L++L+++W L    ++  +  +A+  S   +   +    G  W++RL+  +  P R  V 
Sbjct: 489 LILLLMMWGLHKAFYLESQKQIAQLHSLAPVSASSRRGKG-GWRQRLSQAVHFPSRDEVY 547

Query: 580 KFLQASVLPALEAVARELTRRSRPASVGRDAETGALTLTVPAEGHRDFVYGVQMSEHKLP 639
           +FL  +V PA+E V      +        D    +++L +       F+Y  QM  +  P
Sbjct: 548 RFLDTTVRPAIEEVTAVFAEKGLNVVTQPDPANDSVSLEIGHGEQHPFIYQAQMRGYFTP 607

Query: 640 AFTAYDATVADVR----YEARTFFSDGSRGYDIMGMADNQIINDVLFQFERYTGFV 691
           +F        ++     Y A    S+GS+ YD++G    QIIND+L Q+ER+  F+
Sbjct: 608 SFARGGMGSKELNNRRYYRAEVHLSEGSQDYDLVGYTKEQIINDILDQYERHMQFL 663


Lambda     K      H
   0.326    0.139    0.422 

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: 1230
Number of extensions: 72
Number of successful extensions: 6
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: 706
Length of database: 667
Length adjustment: 39
Effective length of query: 667
Effective length of database: 628
Effective search space:   418876
Effective search space used:   418876
Neighboring words threshold: 11
Window for multiple hits: 40
X1: 15 ( 7.1 bits)
X2: 38 (14.6 bits)
X3: 64 (24.7 bits)
S1: 40 (21.7 bits)
S2: 54 (25.4 bits)

This GapMind analysis is from Sep 17 2021. The underlying query database was built on Sep 17 2021.

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Protein sequences (fasta format)
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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