GapMind for catabolism of small carbon sources

 

Alignments for a candidate for aglK in Pseudomonas putida KT2440

Align ABC transporter for D-Maltose and D-Trehalose, ATPase component (characterized)
to candidate PP_3817 PP_3817 Polyamine ABC transporter, ATP-binding protein

Query= reanno::Smeli:SMc03065
         (362 letters)



>FitnessBrowser__Putida:PP_3817
          Length = 382

 Score =  211 bits (537), Expect = 3e-59
 Identities = 123/317 (38%), Positives = 176/317 (55%), Gaps = 20/317 (6%)

Query: 6   LKDIRKSYGAVDVIHGIDLDIKEGEFVVFVGPSGCGKSTLLRMIAGLEEITGGDMFIDGE 65
           L+ + K YG    +  +DL+I++GEF+ F+G SG GKST L M+AG E  + G++ +DG+
Sbjct: 17  LRGLNKHYGDFTAVDNLDLEIQDGEFLTFLGSSGSGKSTTLSMLAGFETPSSGEILVDGQ 76

Query: 66  RVNDVPPSKRGIAMVFQSYALYPHMTVYDNMAFGMRIARESKEEIDRRVRGAADMLQLTP 125
            + +VPP KR I MVFQ Y+L+PH+ V DN+AF + I +    E  +RV     ++QL  
Sbjct: 77  SLVNVPPHKRDIGMVFQRYSLFPHLNVRDNIAFPLAIRKLGAAETAKRVDAMLKLVQLEQ 136

Query: 126 YLDRLPKALSGGQRQRVAIGRAICRNPKVFLFDEPLSNLDAALRVATRIEIAKLSERMSD 185
           +  R P  +SGGQ+QRVAI RA+   P++ L DEPL  LD  LR   + E+ +L  R+  
Sbjct: 137 FAHRKPSQMSGGQQQRVAIARALVYEPRILLMDEPLGALDKKLREDLQDELRQLHRRLG- 195

Query: 186 TTMIYVTHDQVEAMTLADRIVVLSAGHIEQVGAPLELYERPANLFVARFIGSPAMNVIPA 245
            T++YVTHDQ EAM L+ RI + S G I  +G   +LY+ P N FVA F+G+     I A
Sbjct: 196 ITIVYVTHDQEEAMRLSQRIAIFSHGKIVGLGTGYDLYQNPPNAFVASFLGNSNFLRIKA 255

Query: 246 TITAT----GQQTAVSLAGGKSVTLDVPTNASENGKTASFGVRPEDLRVTEADDFLFE-- 299
           +        GQ  A+ L  G + + D           A   VRPE      A+  + E  
Sbjct: 256 SSNGAGSFEGQPVAIRLTPGLAASQD-----------ALIMVRPEKAVAMSAEQAMREPL 304

Query: 300 --GTVSIVEALGEVTLL 314
             G   +   +GEV  L
Sbjct: 305 PAGWNEVTAKVGEVLFL 321


Lambda     K      H
   0.320    0.137    0.387 

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: 307
Number of extensions: 10
Number of successful extensions: 2
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: 362
Length of database: 382
Length adjustment: 30
Effective length of query: 332
Effective length of database: 352
Effective search space:   116864
Effective search space used:   116864
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: 49 (23.5 bits)

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

Links

Downloads

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:

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 the paper from 2019 on GapMind for amino acid biosynthesis, the paper from 2022 on GapMind for carbon sources, or view the source code.

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