GapMind for catabolism of small carbon sources

 

Alignments for a candidate for gtsD in Phaeobacter inhibens BS107

Align Sugar ABC transporter ATP-binding protein (characterized, see rationale)
to candidate GFF1915 PGA1_c19470 ABC transporter, ATP-binding protein

Query= uniprot:A0A165KQ08
         (355 letters)



>FitnessBrowser__Phaeo:GFF1915
          Length = 363

 Score =  340 bits (872), Expect = 3e-98
 Identities = 181/359 (50%), Positives = 234/359 (65%), Gaps = 10/359 (2%)

Query: 1   MASSLDIAGINKRFGKGDKSVEVLRKVDIHVAPGEFLILVGPSGCGKSTLLNIIAGLDEP 60
           M S +    ++ RFG    +VEVL+ +++ +  GEFL+L+G SGCGKSTLLN IAGL E 
Sbjct: 9   MTSHVSARDLSVRFG----AVEVLKSLNLDIQKGEFLVLLGASGCGKSTLLNTIAGLQEA 64

Query: 61  TEGEIRIGGKNVVGMPPRDRDIAMVFQSYALYPTLSVADNIGFALEMRKMPKPERQKRID 120
           TEG+I I  +NV    P+DR +AMVFQSYALYP ++V  N+ F L M K+PK E  K +D
Sbjct: 65  TEGQIWINDENVTWREPKDRGLAMVFQSYALYPKMTVRGNLAFGLRMNKVPKAEADKLVD 124

Query: 121 EVAAMLQISHLLDRRPSQLSGGQRQRVAMGRALARQPQLFLFDEPLSNLDAKLRVEMRAE 180
           E A +LQ+  LLDRRP +LSGGQRQRVA+GRAL R+  +FLFDEPLSNLDAKLR E+R E
Sbjct: 125 EAARVLQLEELLDRRPGELSGGQRQRVAIGRALVRKVDVFLFDEPLSNLDAKLRAELRVE 184

Query: 181 IKRLHQASGITSVYVTHDQVEAMTLGSRIAVMKGGVVQQLGTPDEIYNRPANTYVATFIG 240
           +KRLHQ  G T +YVTHDQVEA+TL  RIAVMK GVVQQL +P+EIY RPAN YVA F+G
Sbjct: 185 LKRLHQELGATMIYVTHDQVEALTLADRIAVMKDGVVQQLDSPEEIYRRPANRYVAQFVG 244

Query: 241 SPTMNLLRGAVTGG------QFGIQGAALNLAPPPSSANEVLLGVRPEHLVMQETAPWRG 294
            P+MN + G VT         F +     NLA  P+   EV +G+RPEH+       +  
Sbjct: 245 LPSMNFVNGVVTESGAIQTEDFELALDQCNLASTPAPGTEVEIGIRPEHVHPANAGGFML 304

Query: 295 RVSVVEPTGPDTYVMVDTAAGSVTLRTDAQTRVQPGEHVGLALAPAHAHWFDAQSEERL 353
            V +VE  G +  +       S+ +R D  T ++ G+ V + L P     F A++  R+
Sbjct: 305 DVGMVELLGSERLIWGKVGNTSIVMRDDPDTTIRSGDQVRINLKPGAFSVFSAKTGLRI 363


Lambda     K      H
   0.318    0.135    0.388 

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: 355
Number of extensions: 12
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: 355
Length of database: 363
Length adjustment: 29
Effective length of query: 326
Effective length of database: 334
Effective search space:   108884
Effective search space used:   108884
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: 49 (23.5 bits)

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

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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:

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