GapMind for catabolism of small carbon sources

 

Aligments for a candidate for xacK in Dinoroseobacter shibae DFL-12

Align Xylose/arabinose import ATP-binding protein XacK; EC 7.5.2.13 (characterized, see rationale)
to candidate 3608624 Dshi_2017 ABC transporter related (RefSeq)

Query= uniprot:D4GP39
         (383 letters)



>FitnessBrowser__Dino:3608624
          Length = 333

 Score =  289 bits (739), Expect = 9e-83
 Identities = 164/331 (49%), Positives = 209/331 (63%), Gaps = 33/331 (9%)

Query: 1   MARLTLDDVTKVYTDEGGGDIVAVEEISLDIDDGEFLVLVGPSGCGKSTTLRMMAGLETV 60
           MA LTLD+V K +     G    +  +S+D+ +GEF+V+VGPSGCGKST LRM+AGLETV
Sbjct: 1   MATLTLDNVKKSF-----GKTDVIHGVSIDVTEGEFIVIVGPSGCGKSTLLRMVAGLETV 55

Query: 61  TEGELRLEDRVLNGVSAQDRDIAMVFQSYALYPHKSVRGNMSFGLEESTGLPDDEIRQRV 120
           + GE+R++ RV+N +   DRDIAMVFQ+YALYPH SV  NM++GL+ +  +P  EI  RV
Sbjct: 56  SSGEVRIDGRVVNTLEPMDRDIAMVFQNYALYPHMSVFDNMAYGLKIAK-VPKAEIADRV 114

Query: 121 EETTDMLGISDLLDRKPGQLSGGQQQRVALGRAIVRDPEVFLMDEPLSNLDAKLRAEMRT 180
                +L +   L RKP +LSGGQ+QRVA+GRAIVR P VFL DEPLSNLDAKLR +MR 
Sbjct: 115 AVAAKLLQLEPYLGRKPKELSGGQRQRVAMGRAIVRKPAVFLFDEPLSNLDAKLRVQMRL 174

Query: 181 ELQRLQGELGVTTVYVTHDQTEAMTMGDRVAVLDDGELQQVGTPLDCYHRPNNLFVAGFI 240
           E++ LQ ELGVT++YVTHDQ EAMT+ DR+ V++ G   Q+G PL+ Y  P   FVAGFI
Sbjct: 175 EIKALQRELGVTSLYVTHDQVEAMTLADRMIVMNGGVADQIGAPLEVYANPQTAFVAGFI 234

Query: 241 GEPSMNLFDGSLSGDTFRGDGFDYPLSGATRDQLGGASGLTLGIRPEDVTVGERRSGQRT 300
           G P  N     L  D  R                 G +G  +GIRPE + V    + Q  
Sbjct: 235 GSPPTNF----LPADMVR----------------AGPAGQQVGIRPEHLRV----APQGR 270

Query: 301 FDAEVVVVEPQGNENAVHLRFVDGDEGTQFT 331
            +A V   E  G E  +HLR     +GT  T
Sbjct: 271 LEAHVAYAEALGAETLLHLR---ASQGTTLT 298


Lambda     K      H
   0.316    0.136    0.384 

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: 381
Number of extensions: 30
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: 383
Length of database: 333
Length adjustment: 29
Effective length of query: 354
Effective length of database: 304
Effective search space:   107616
Effective search space used:   107616
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: 42 (22.0 bits)
S2: 49 (23.5 bits)

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

Links

Downloads

Related tools

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