GapMind for catabolism of small carbon sources

 

Aligments for a candidate for glpT in Phaeobacter inhibens BS107

Align ABC transporter for Glycerol, ATPase component 2 (characterized)
to candidate GFF3855 PGA1_78p00190 sn-glycerol-3-phosphate import ATP-binding protein UgbC

Query= reanno::acidovorax_3H11:Ac3H11_792
         (358 letters)



>lcl|FitnessBrowser__Phaeo:GFF3855 PGA1_78p00190
           sn-glycerol-3-phosphate import ATP-binding protein UgbC
          Length = 361

 Score =  211 bits (536), Expect = 3e-59
 Identities = 126/320 (39%), Positives = 193/320 (60%), Gaps = 15/320 (4%)

Query: 27  LKMEFEDGGAYALLGPSGCGKTTMLNIMSGLLVPSHGKVLFDGRDVTRASPQERNIAQVF 86
           L ++ E G    LLG SGCGK+T+LN ++GLL  S G++   G++VT A P ER I  VF
Sbjct: 26  LNLDIEQGEFLVLLGSSGCGKSTLLNCIAGLLDISDGQIFIQGQNVTWAEPSERGIGMVF 85

Query: 87  QFPVIYDTMTVAENLAFPLRNRKVPEGQIKQRVGVIAEMLEMSGQLNQRAAGLAADAKQK 146
           Q   +Y  MTV  NL+F L+N ++P+ +I +RV   AE+L++   L ++ A L+   +Q+
Sbjct: 86  QSYALYPQMTVEGNLSFGLKNARLPKAEIAKRVARAAEVLQIEPLLKRKPAALSGGQRQR 145

Query: 147 ISLGRGLVRADVAAVLFDEPLTVIDPHLKWQLRRKLKQIHHELKLTLIYVTHDQVEALTF 206
           +++GR LVR DV   LFDEPL+ +D  L+  LR +LK++H +L  T+IYVTHDQVEA+T 
Sbjct: 146 VAIGRALVR-DVDVFLFDEPLSNLDAKLRADLRVELKRLHQQLANTMIYVTHDQVEAMTL 204

Query: 207 ADQVVVMTRGKAVQVGSADALFERPAHTFVGHFIGSPGMNFLPAHRDGENLSVAGH--RL 264
           AD++ +M  G+ +Q+ S D ++ RP + +V  FIGSP MN +    +G  +    H   L
Sbjct: 205 ADRIAIMKGGRIMQLSSPDEIYNRPQNLYVAGFIGSPAMNLI----EGVLIDGVFHAGSL 260

Query: 265 ASPVGR-----ALPAGALQVGIRPEYLALA-QPQQAGALPGTVVQ-VQDIGTYQMLTAKV 317
           A P+ R         GA  +GIRPE++    Q  +A A    +V  V+ +G+  ++ A  
Sbjct: 261 ALPMQRYDYRNGPHHGAAVIGIRPEHILTGEQITRADATAEVLVDLVEGLGSDTLVYATH 320

Query: 318 GEHTVKARFTPETRLPSSGD 337
           G   ++ R    +R+ S+GD
Sbjct: 321 GAQNLRLRMDGASRV-SAGD 339


Lambda     K      H
   0.320    0.136    0.395 

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: 310
Number of extensions: 17
Number of successful extensions: 3
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: 358
Length of database: 361
Length adjustment: 29
Effective length of query: 329
Effective length of database: 332
Effective search space:   109228
Effective search space used:   109228
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.

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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