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

GapMind for catabolism of small carbon sources

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

Align protein-Npi-phosphohistidine-D-glucose phosphotransferase (EC 2.7.1.199) (characterized)
to candidate PfGW456L13_4833 PTS system, N-acetylglucosamine-specific IIA component (EC 2.7.1.69) / PTS system, N-acetylglucosamine-specific IIB component (EC 2.7.1.69) / PTS system, N-acetylglucosamine-specific IIC component (EC 2.7.1.69)

Query= BRENDA::P69786
         (477 letters)



>FitnessBrowser__pseudo13_GW456_L13:PfGW456L13_4833
          Length = 571

 Score =  363 bits (933), Expect = e-105
 Identities = 199/476 (41%), Positives = 291/476 (61%), Gaps = 26/476 (5%)

Query: 1   MFKNAFANLQKVGKSLMLPVSVLPIAGILLGVGSANFSWLPAVVSHVMAEAGGSVFANMP 60
           M++     LQ++G++LMLP+++LPIAG+LL +G  +   L   + H   +AG  +FAN+ 
Sbjct: 1   MYQLFIEGLQRLGRALMLPIAILPIAGLLLRLGDTDL--LNIAIIH---DAGQVIFANLA 55

Query: 61  LIFAIGVALGFT-NNDGVSALAAVVAYGIMVKTMAVVAPLVLHLPAEEIASKHLADTGVL 119
           +IFAIG+A+GF  +N+G + LA V+ Y +M+ T+  + P +              + G+L
Sbjct: 56  MIFAIGIAVGFARDNNGTAGLAGVIGYLVMISTLKALDPSI--------------NMGML 101

Query: 120 GGIISGAIAAYMFNRFYRIKLPEYLGFFAGKRFVPIISGLAAIFTGVVLSFIWPPIGSAI 179
            GI+SG +A  ++NRF  IKLPEYL FF G+RFVPI++G AA+  GVV  +IWPPI   I
Sbjct: 102 AGIVSGLMAGALYNRFKDIKLPEYLAFFGGRRFVPIVTGFAAVGLGVVFGYIWPPIQHGI 161

Query: 180 QTFSQWAAYQNPVVAFGIYGFIERCLVPFGLHHIWNVPFQMQIGEYTN-AAGQVFHGDIP 238
            +F           AF ++G   R L+  GLHHI N       G +T+   G +  GD+ 
Sbjct: 162 NSFGTLMMESGSFGAF-VFGLFNRLLIVTGLHHILNNMAWFVFGNFTDPTTGALVTGDLS 220

Query: 239 RYMAGDPTAGK-LSGGFLFKMYGLPAAAIAIWHSAKPENRAKVGGIMISAALTSFLTGIT 297
           RY AGDP  G+ ++G F   ++GLPAA +A++ +A P  R  +GGI +S ALT+FLTG+T
Sbjct: 221 RYFAGDPKGGQFMTGMFPMMIFGLPAACLAMYRNALPARRKVMGGIFLSMALTAFLTGVT 280

Query: 298 EPIEFSFMFVAPILYIIHAILAGLAFPICILLGMRDGTSFSHGLIDFIVLSGNSSKLWLF 357
           EPIEF+FMF+AP+L+++HA+L GL+  I   L +  G +FS G ID I+  G S+  WL 
Sbjct: 281 EPIEFAFMFLAPLLFVLHALLTGLSMAITNALNIHLGFTFSGGFIDMILGWGKSTNGWLV 340

Query: 358 PIVGIGYAIVYYTIFRVLIKALDLKTPGREDATE-DAKATGTSEMAPALVAAFGGKENIT 416
             VG+ YA++YY +F   I+  DLKTPGRE + + +  A   +E A A + A GG EN+ 
Sbjct: 341 FPVGLAYAVIYYVVFDFCIRRFDLKTPGRETSADVEQVAVADNERAGAYIKALGGAENLI 400

Query: 417 NLDACITRLRVSVADVSKVDQAGLKKLGAAGVVVAGSG--VQAIFGTKSDNLKTEM 470
            + AC TRLR+ + D +K     LK LGA  VV  G G  +Q + G  +D +  E+
Sbjct: 401 TVGACTTRLRLDMVDRNKASDTDLKALGAMAVVRPGKGGSLQVVVGPMADAIADEI 456



 Score = 37.7 bits (86), Expect = 1e-06
 Identities = 27/93 (29%), Positives = 43/93 (46%), Gaps = 3/93 (3%)

Query: 381 LKTPGREDATEDAKATGTSEMAPALVAAFGGKENITNLDA-CITRLRVSVADVSKVDQAG 439
           + +P  E       A  T E A   + A GG +N+  LD   +TR+R+ +AD   + +  
Sbjct: 468 VSSPAAEIDAPPPAAMATPE-AQQWLNALGGGDNVLQLDCVAMTRIRLQLADGKALSEFD 526

Query: 440 LKKLGAAGVVVAGSGV-QAIFGTKSDNLKTEMD 471
           LK LG  GV     G+   + G K+  L   ++
Sbjct: 527 LKALGCQGVSQLDGGIWHLLIGDKAPTLSDALE 559


Lambda     K      H
   0.325    0.140    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: 793
Number of extensions: 46
Number of successful extensions: 9
Number of sequences better than 1.0e-02: 1
Number of HSP's gapped: 2
Number of HSP's successfully gapped: 2
Length of query: 477
Length of database: 571
Length adjustment: 35
Effective length of query: 442
Effective length of database: 536
Effective search space:   236912
Effective search space used:   236912
Neighboring words threshold: 11
Window for multiple hits: 40
X1: 15 ( 7.0 bits)
X2: 38 (14.6 bits)
X3: 64 (24.7 bits)
S1: 40 (21.6 bits)
S2: 52 (24.6 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