Alignments for a candidate for treF in Pseudomonas simiae WCS417

GapMind for catabolism of small carbon sources

Alignments for a candidate for treF in Pseudomonas simiae WCS417

Align Trehalase; Alpha,alpha-trehalase; Alpha,alpha-trehalose glucohydrolase; EC 3.2.1.28 (characterized)
to candidate GFF1902 PS417_09685 glucoamylase

Query= SwissProt::P71741
         (680 letters)



>FitnessBrowser__WCS417:GFF1902
          Length = 608

 Score =  363 bits (931), Expect = e-104
 Identities = 226/616 (36%), Positives = 324/616 (52%), Gaps = 47/616 (7%)

Query: 53  PIADYAFLSDWETTCLISPAGSVEWLCVPRPDSPSVFGAILDR-SAGHFRLGPYGVSVPS 111
           PI  +  + D  +  L++  GS+++ C P  DSPS+F ++LD   AG F+L P    +P+
Sbjct: 11  PIDAHGIIGDMRSAALVNDKGSIDFFCWPEFDSPSIFCSLLDSPDAGIFQLTP---DLPN 67

Query: 112 ARR---YLPGSLIMETTWQTHTGWLIVRDALVMGKWHDIERRSRTHRRTPMDWDAEHILL 168
           ARR   YLP + +++T W +    + + D L + +                D D   +L+
Sbjct: 68  ARREQIYLPDTNVLQTRWLSDEAVVEITDLLAISE----------------DVDDLPLLI 111

Query: 169 RTVRCVSGTVELMMSCEPAFDYHRLGATWEYSAEAYGEAIARANTEPDAHPTLRLTTNLR 228
           R VR VSG  ++ + C    DY R   T   +    G     A    +  P LRL+ +  
Sbjct: 112 RRVRVVSGKADIHLRCAVRHDYAR---TPTQATRDDGTVCFSA----EGQPGLRLSGSYP 164

Query: 229 IGLEGREARARTRMKEGDDVFVALSWTKHPPPQTYDEAADK------MWQTTECWRQWIN 282
           + ++   A A   + + +     L   +       DE  D       +  T   WR WI 
Sbjct: 165 LQIKDGAAVASFTLGQEEGAEFVLGGQE-------DERVDSRCTDLALAHTLTFWRGWIA 217

Query: 283 IGNFPDHPWRAYLQRSALTLKGLTYSPTGALLAASTTSLPETPRGERNWDYRYAWIRDST 342
             N+    WR  + RSAL LK LT    GA++AA+T  LPETP GERNWDYRY WIRD++
Sbjct: 218 QSNYRGR-WREMVNRSALALKLLTSRKHGAIIAAATFGLPETPGGERNWDYRYTWIRDAS 276

Query: 343 FALWGLYTLGLDREADDFFAFIADVSGANNNERHPLQVMYGVGGERSLVEAELHHLSGYD 402
           F ++    LG   EA+ +  ++        N+   + ++YG+ G + L EAEL H +G+ 
Sbjct: 277 FTVYAFMRLGFVEEANAYMRWLKGRVSDCCNQPTKINILYGIDGRQELPEAELDHFAGHG 336

Query: 403 HARPVRIGNGAYNQRQHDIWGSILDSFYLHAKSREQVPENLWPVLKRQVEEAIKHWREPD 462
            A+PVRIGN A++Q Q DI+G ++D+ YL  K  E +    W       ++  + W   D
Sbjct: 337 GAKPVRIGNEAFDQIQLDIYGELMDAVYLVNKYGEAISHEGWKHTVEVADQVCEIWNTKD 396

Query: 463 RGIWEVRGEPQHFTSSKVMCWVALDRGAKLAERQGEKSYAQQWRAIADEIKADILEH-GV 521
            GIWE+RGE  HF  S++MCWVALDR  +LA ++   +   +W      I ADI  +   
Sbjct: 397 VGIWEMRGEQHHFLHSRLMCWVALDRAIRLASKRSLPAPFARWDQTRQAIYADIWSNFWN 456

Query: 522 DSRGVFTQRYGDEALDASLLLVVLTRFLPPDDPRVRNTVLAIADELTEDGLVLRYRVHET 581
           + RG F Q  G  ALD S+LL+ L RF+   DPR  +T+ AI   L  DG+V RYR  ++
Sbjct: 457 EERGHFVQHTGTTALDGSMLLMPLVRFVAATDPRWLSTLEAIQKSLVRDGMVYRYRNDDS 516

Query: 582 D-DGLSGEEGTFTICSFWLVSALVEIGEVGRAKRLCERLLSFASPLLLYAEEIEPRSGRH 640
             DGL G EG F  CSFW V  L   G+V +A    E+LL +A+PL LYAEE +    RH
Sbjct: 517 QIDGLQGTEGAFAACSFWYVECLARAGQVEKAHLEFEQLLRYANPLGLYAEEFD-NQARH 575

Query: 641 LGNFPQAFTHLALINA 656
           LGN PQA +HLALI+A
Sbjct: 576 LGNTPQALSHLALISA 591


Lambda     K      H
   0.319    0.134    0.425 

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: 1196
Number of extensions: 65
Number of successful extensions: 7
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: 680
Length of database: 608
Length adjustment: 38
Effective length of query: 642
Effective length of database: 570
Effective search space:   365940
Effective search space used:   365940
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: 54 (25.4 bits)

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