Alignments for a candidate for treF in Pseudomonas fluorescens FW300-N2C3

GapMind for catabolism of small carbon sources

Alignments for a candidate for treF in Pseudomonas fluorescens FW300-N2C3

Align α,α-trehalase (MSMEG_4535;MSMEG4528) (EC 3.2.1.28) (characterized)
to candidate AO356_21075 AO356_21075 glucoamylase

Query= CAZy::ABK72415.1
         (668 letters)



>FitnessBrowser__pseudo5_N2C3_1:AO356_21075
          Length = 607

 Score =  380 bits (976), Expect = e-109
 Identities = 235/613 (38%), Positives = 330/613 (53%), Gaps = 35/613 (5%)

Query: 38  PFPPIADYGFLSDCETTCLISSAGSVEWLCVPRPDSPSVFGAILDRG-AGHFRLGPYGVS 96
           P  PI ++G + D  T  L++  GSV++ C P  DSPS+F ++LD   AG F+L P    
Sbjct: 7   PQSPIENHGIIGDMRTAALVNDRGSVDFFCWPEFDSPSIFCSLLDTAQAGIFQLAP---D 63

Query: 97  VPAARR---YLPGSLILETTWQTHTGWLIVRDALVMGPWHDIDTRSRTHRRTPMDWDAEH 153
           +P ARR   YLP + +L+T W +    + + D L +G   D                   
Sbjct: 64  LPDARRQQIYLPDTNVLQTRWLSDGAVVELTDLLPIGDSED----------------DLP 107

Query: 154 ILLRTVRCVSGTVELVMSCEPAFDYHRVSATWEYSGPAYGEAIARASRNPDSHPTLRLTT 213
           +L+R VR   G+    + C    DY R + T    G       A         P+LRL  
Sbjct: 108 VLIRRVRMTIGSATFRLRCAVRHDYARAATTARQDG-------AHICFEAPGQPSLRLCA 160

Query: 214 NLRIGIEGREARARTRLTEGDNVFVALSWSKHPAPQTYEEAADKMWKTSEAWRQWINVGD 273
           +  + ++G  A A   LT+G +    L     P  Q  + +A  + +T   WR WI   +
Sbjct: 161 DQPLTLDGNAAVAEFTLTQGQSAEFLLGGIDDPRLQD-DVSAICLERTLAFWRGWIGQSN 219

Query: 274 FPDHPWRAYLQRSALTLKGLTYSPTGALLAAPTTSLPETPQGERNWDYRYSWIRDSTFAL 333
           +    WR  + RSAL LK LT    GA+LAA T  LPET  GERNWDYRY+WIRD++F +
Sbjct: 220 YRGR-WREMVNRSALALKLLTSRKHGAILAAATFGLPETRGGERNWDYRYTWIRDASFTV 278

Query: 334 WGLYTLGLDREADDFFSFIADVSGANNGERHPLQVMYGVGGERSLVEEELHHLSGYDNSR 393
           +    LG   EA+ +  ++         +   L ++YG+ G   L E EL HLSG+ N++
Sbjct: 279 YAFMRLGFVEEANAYMRWLRGRVSDCCDQPTKLNILYGLDGRLELPETELPHLSGFGNAQ 338

Query: 394 PVRIGNGAYNQRQHDIWGTMLDSVYLHAKSREQIPDALWPVLKNQVEEAIKHWKEPDRGI 453
           PVRIGN AY Q Q DI+G ++D+VYL  K  E I    W    + V++  + W++ D GI
Sbjct: 339 PVRIGNLAYQQVQLDIFGELMDAVYLVNKYGEAISHEGWKHTVDVVDQVCEVWQDKDVGI 398

Query: 454 WEVRGEPQHFTSSKIMCWVALDRGSKLAELQGEKSYAQQWRAIAEEIKADVLAR-GVDKR 512
           WE+RG+ QHF  S++MCWVA+DR  +LAE +   +   +W    + I  D+      D+ 
Sbjct: 399 WEMRGDKQHFLHSRLMCWVAVDRAIRLAEKRSLPAPFARWDETRQAIYQDIWTNFWNDEH 458

Query: 513 GVLTQRYGDDALDASLLLAVLTRFLPADDPRIRATVLAIADELTEDGLVLRYRVEETD-D 571
               QR G  ALD S+LL  L RF+ A DPR  +T+ AI   L  DG+V RYR +++  D
Sbjct: 459 QHFIQRLGSTALDGSMLLMPLVRFVSARDPRWLSTLDAIEKHLVRDGMVYRYRNDDSPID 518

Query: 572 GLAGEEGTFTICSFWLVSALVEIGEISRAKHLCERLLSFASPLHLYAEEIEPRTGRHLGN 631
           GL+G EG+F  CSFW V  L   G + +A+   E+LL +A+PL LYAEE +   G HLGN
Sbjct: 519 GLSGIEGSFAACSFWYVECLARAGRVEKAQLEFEQLLRYANPLGLYAEEFDSH-GYHLGN 577

Query: 632 FPQAFTHLALINA 644
            PQA THLALI+A
Sbjct: 578 TPQALTHLALISA 590


Lambda     K      H
   0.319    0.135    0.426 

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: 1164
Number of extensions: 57
Number of successful extensions: 9
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: 668
Length of database: 607
Length adjustment: 38
Effective length of query: 630
Effective length of database: 569
Effective search space:   358470
Effective search space used:   358470
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 (21.7 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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Steps (tab-delimited)
Rules (tab-delimited)
Protein sequences (fasta format)
Organisms (tab-delimited)
SQLite3 databases

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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