Alignments for a candidate for gguA in Paraburkholderia bryophila 376MFSha3.1

GapMind for catabolism of small carbon sources

Alignments for a candidate for gguA in Paraburkholderia bryophila 376MFSha3.1

Align GguA aka ATU2347 aka AGR_C_4264, component of Multiple sugar (arabinose, xylose, galactose, glucose, fucose) putative porter (characterized)
to candidate H281DRAFT_00426 H281DRAFT_00426 monosaccharide ABC transporter ATP-binding protein, CUT2 family

Query= TCDB::O05176
         (512 letters)



>FitnessBrowser__Burk376:H281DRAFT_00426
          Length = 503

 Score =  372 bits (956), Expect = e-107
 Identities = 213/501 (42%), Positives = 318/501 (63%), Gaps = 17/501 (3%)

Query: 5   ILEMRNITKTFPGVKALENVNLKVKEGEIHALVGENGAGKSTLMKVLSGVYPAGTYEGEI 64
           ++ ++ ++K+FPGV+AL +V   + EGE+HAL+GENGAGKSTLMK+L+GVY   +  GEI
Sbjct: 4   LISVKKLSKSFPGVRALHDVQFDLVEGEVHALMGENGAGKSTLMKILAGVYTRDS--GEI 61

Query: 65  HYEGAVRNFRAINDSEDIGIIIIHQELALVPLLSIAENIFLGNEVASN-GVISWQQTFN- 122
              G     ++  D++  GI IIHQEL L+  L++A+NIF+G E     G+   +   N 
Sbjct: 62  LLGGQPVELQSPRDAQAAGIGIIHQELQLMNHLTVAQNIFIGREPRGRLGLFLDEDKLNA 121

Query: 123 RTRELLKKVGLKESPETLITDIGVGKQQLVEIAKALSKSVKLLILDEPTASLNESDSEAL 182
           + RE+L ++ +   P  ++ ++ V  QQ+VEIAKALS   ++LI+DEPT++LN+++   L
Sbjct: 122 KAREILSRMHVNIDPRAMVGNLTVASQQMVEIAKALSFDSRVLIMDEPTSALNDAEIAEL 181

Query: 183 LNLLMEFRNQGMTSIIITHKLNEVRKVADQITVLRDGMTVKTLDCHQEEISEDVIIRNMV 242
             ++ E + +G+  + I+HK++E++++AD++TVLRDG  V T+     + S + II  MV
Sbjct: 182 FRIIRELKQRGVGVVYISHKMDELKQIADRVTVLRDGEYVATVAA--ADTSVEAIIGMMV 239

Query: 243 GRDLEDRYPP-RDVPIGETILEVKNWNAYHQQHRDRQVLHDINVTVRKGEVVGIAGLMGA 301
           GR L D  P  R    GE  LEV+N +A         ++ D++ T+RKGE++G AGLMGA
Sbjct: 240 GRTLSDVAPAGRAASQGEIALEVRNLHA-------GPLVRDVSFTLRKGEILGFAGLMGA 292

Query: 302 GRTEFAMSVFGKSYGHRITGDVLIDGKPVDVSTVRKAIDAGLAYVTEDRKHLGLVLNDNI 361
           GRTE A +VFG       +G++ + G    + T   A+  G+ Y++EDRK  GL    ++
Sbjct: 293 GRTEVARAVFGADPVE--SGEIFVKGAKASIRTPSDAVAHGIGYLSEDRKRFGLATGMDV 350

Query: 362 LHNTTLANLAG-VSKASIIDDIKEMKVASDFRTRLRIRSSGIFQETVNLSGGNQQKVVLS 420
             N  ++NL   +S    +   +  + AS F   L IR+    Q+   LSGGNQQK+V++
Sbjct: 351 ESNIVMSNLRNFLSLNFFLRRARMRRRASHFINLLAIRTPSAAQQVRLLSGGNQQKIVIA 410

Query: 421 KWLFSNPDVLILDEPTRGIDVGAKYEIYTIINQLAADGKGVLMISSEMPELLGNCDRIYV 480
           KWL  + DVL  DEPTRGIDVGAK EIY ++  LA +GK ++MISSE+PE+L   DR+ V
Sbjct: 411 KWLERDCDVLFFDEPTRGIDVGAKSEIYKLLRSLADEGKAIVMISSELPEILRMSDRVVV 470

Query: 481 MNEGRIVAELPKGEASQESIM 501
           M EGRI  ELP  +A+QE IM
Sbjct: 471 MCEGRITGELPAEQATQERIM 491


Lambda     K      H
   0.316    0.135    0.374 

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: 628
Number of extensions: 32
Number of successful extensions: 11
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: 512
Length of database: 503
Length adjustment: 34
Effective length of query: 478
Effective length of database: 469
Effective search space:   224182
Effective search space used:   224182
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 (21.6 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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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, 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

GapMind for catabolism of small carbon sources