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

GapMind for catabolism of small carbon sources

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

Align L-arabinonate dehydratase; ArDHT; D-fuconate dehydratase; Galactonate dehydratase; L-arabonate dehydratase; EC 4.2.1.25; EC 4.2.1.67; EC 4.2.1.6 (characterized)
to candidate PfGW456L13_3725 Dihydroxy-acid dehydratase (EC 4.2.1.9)

Query= SwissProt::B5ZZ34
         (579 letters)



>FitnessBrowser__pseudo13_GW456_L13:PfGW456L13_3725
          Length = 560

 Score =  298 bits (762), Expect = 5e-85
 Identities = 185/529 (34%), Positives = 299/529 (56%), Gaps = 18/529 (3%)

Query: 44  RPVIGILNTWSDMTPCNGHLRELAEKVKAGVWEAGGFPLEVPVFSASENTFRPT-----A 98
           +P IGI +TW+ +TPCN H+ +LA + + G   AG   +     + S+     T     +
Sbjct: 39  KPQIGIASTWAMVTPCNMHIDKLALEAEKGANAAGAKGVIFNTITISDGIANGTEGMKYS 98

Query: 99  MMYRNLAALAVEEAIRGQPMDGCVLLVGCDKTTPSLLMGAASCDLPSIVVTGGPMLNGYF 158
           ++ R + A ++E     +  DG V + GCDK  P  L+G A  + PSI V GG +  G  
Sbjct: 99  LVSREVIADSIEVVTGCEGFDGLVTIGGCDKNMPGCLIGMARLNRPSIFVYGGTIQPGAG 158

Query: 159 RGERVGSGTHLWKFSEMVKAGEMTQAEFLEAEASMSRSSGTCNTMGTASTMASMAEALGM 218
             + +     + + +     G++++ +  + E       G+C  M TA+TMAS  EALGM
Sbjct: 159 HTDIISVFEAVGQHAR----GDISEIQVKQIEEVAIPGPGSCGGMYTANTMASAIEALGM 214

Query: 219 ALSGNAAIPGVDSRRKVMAQLTGRRIVQMVKDDLKPSEIMTKQAFENAIRTNAAIGGSTN 278
           +L G+++   + + +   +   G+++++++K DLKP +IMT++AFENAIR   A+ GSTN
Sbjct: 215 SLPGSSSQDAIGADKASDSFRAGQQVMELLKLDLKPRDIMTRKAFENAIRVVIALAGSTN 274

Query: 279 AVIHLLAIAGRVGIDLSLDDWDRCGRDVPTIVNLMPSGKYLMEEFFYAGGLPVVLKRLGE 338
           AV+HLLA+A  V ++L+LDD+   G+  P + +L PSGKY+M E    GG+  ++KR+ +
Sbjct: 275 AVLHLLAMANAVDVELTLDDFVELGKVSPVVADLRPSGKYMMSELVAIGGIQPLMKRMLD 334

Query: 339 AGLLHKDALTVSGETVWDEVKDVVNW--NEDVILPAEKALTSSGGIVVLRGNLAPKGAVL 396
           AG+LH D LTV+G+T+ + +  V ++   +DVI P ++ +     +V+LRGNL+P GAV 
Sbjct: 335 AGMLHGDVLTVTGQTLAENLASVPDYPAGQDVIRPFDQPIKKDSHLVILRGNLSPTGAVA 394

Query: 397 KPSAASPHLLVHKGRAVVFEDIDDYKAKINDDNLDIDENCIMVMKNCGPKGYPGMAEVGN 456
           K +      L  +G A V+   +   A I   N ++    ++V++  GPKG PGM E+  
Sbjct: 395 KITGKEG--LRFEGTARVYHGEEGALAGIL--NGEVQPGEVIVIRYEGPKGGPGMREM-- 448

Query: 457 MGLPPKVLKKGI-LDMVRISDARMSGTAYGTVVLHTSPEAAVGGPLAVVKNGDMIELDVP 515
           +     V+ KG+  ++  I+D R SG ++G VV H +PEA  GGP+A+V+NGD I +D  
Sbjct: 449 LSPTSAVMGKGLGKEVALITDGRFSGGSHGFVVGHITPEAFEGGPIALVENGDRIIIDAE 508

Query: 516 NRRLHLDISDEELARRLAEWQPNHDLPTSGYAFLHQQHVEGADTGADLD 564
            R + +D+SD  LA R + W         G    + + V  A  GA  D
Sbjct: 509 TRLITVDVSDAVLAERKSRWVRPESKYKRGVLAKYAKTVSSASEGAVTD 557


Lambda     K      H
   0.318    0.135    0.408 

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: 867
Number of extensions: 46
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: 579
Length of database: 560
Length adjustment: 36
Effective length of query: 543
Effective length of database: 524
Effective search space:   284532
Effective search space used:   284532
Neighboring words threshold: 11
Window for multiple hits: 40
X1: 16 ( 7.3 bits)
X2: 38 (14.6 bits)
X3: 64 (24.7 bits)
S1: 41 (21.7 bits)
S2: 53 (25.0 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