GapMind for catabolism of small carbon sources

 

Aligments for a candidate for ytfT in Phaeobacter inhibens BS107

Align Galactofuranose transporter permease protein YtfT (characterized)
to candidate GFF2762 PGA1_c28050 putative sugar transport system, permease protein

Query= SwissProt::P39328
         (341 letters)



>lcl|FitnessBrowser__Phaeo:GFF2762 PGA1_c28050 putative sugar
           transport system, permease protein
          Length = 353

 Score =  120 bits (300), Expect = 7e-32
 Identities = 100/326 (30%), Positives = 161/326 (49%), Gaps = 42/326 (12%)

Query: 19  PTGMPQLVALLLVLLVDSLVAPHFWQVVLQDGRLFGSPID---ILNRAAPVALLAIGMTL 75
           P+ +P +V +L V++   L+           G  F SP     IL +   V ++A   +L
Sbjct: 40  PSLVPLIVLVLSVIVFGLLL-----------GSKFFSPFALTLILQQVGIVGIVACAQSL 88

Query: 76  VIATGGIDLSVGAVMAIAGATTAAMTVAGFSLPIVLLSALGT--GILAGLWNGILVAILK 133
           VI T GIDLSVGA+M ++       T   + LP  +  A G   G + G  NG LVA +K
Sbjct: 89  VILTAGIDLSVGAIMVLSSVVMGQFTFR-YGLPPEVAVACGLICGTICGFINGWLVARMK 147

Query: 134 IQPFVATLILMVAGRGVAQLITAG------------QIVTFNSPDLSWFGS----GSLLF 177
           + PF+ TL       G+ Q++ A             Q +   +P L  FG     G  +F
Sbjct: 148 LPPFIVTL-------GMWQIVLASNFLYSANETIRSQTIAAEAPLLQLFGEKIKIGGAVF 200

Query: 178 LPTPVIIAVLTLILFWLLTRKTALGMFIEAVGINIRAAKNAGVNTRIIVMLTYVLSGLCA 237
               + + +L ++L ++L R TA G  + AVG +  AA+ +GV    +++  Y+LSGL  
Sbjct: 201 TYGVIFMVILVVLLAYVL-RHTAWGRHVYAVGDDPEAAELSGVKVTRVLISVYMLSGLIC 259

Query: 238 AIAGIIVAADIRGADANNAGLWLELDAILAVVIGGGSLMGGRFNLLLSVVGALIIQGMNT 297
           A AG  +   I G+ +  +G    +++I AVVIGG SL GGR ++L +  GALI+     
Sbjct: 260 AFAGWAMIGRI-GSVSPTSGQLANIESITAVVIGGISLFGGRGSILGTFFGALIVGVFTL 318

Query: 298 GILLSGFPPEMNQVVKAVVVLCVLIV 323
           G+ L G   +   ++  ++++  + V
Sbjct: 319 GLRLLGADAQWTYLLIGLLIIAAVAV 344


Lambda     K      H
   0.327    0.142    0.416 

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: 271
Number of extensions: 17
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: 341
Length of database: 353
Length adjustment: 29
Effective length of query: 312
Effective length of database: 324
Effective search space:   101088
Effective search space used:   101088
Neighboring words threshold: 11
Window for multiple hits: 40
X1: 15 ( 7.1 bits)
X2: 38 (14.6 bits)
X3: 64 (24.7 bits)
S1: 40 (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