GapMind for catabolism of small carbon sources

 

Aligments for a candidate for TM0028 in Shewanella sp. ANA-3

Align TM0028, component of β-glucoside porter (Conners et al., 2005). Binds cellobiose, laminaribiose (Nanavati et al. 2006). Regulated by cellobiose-responsive repressor BglR (characterized)
to candidate 7025499 Shewana3_2653 oligopeptide/dipeptide ABC transporter, ATPase subunit (RefSeq)

Query= TCDB::Q9WXN5
         (330 letters)



>FitnessBrowser__ANA3:7025499
          Length = 335

 Score =  127 bits (319), Expect = 4e-34
 Identities = 97/328 (29%), Positives = 167/328 (50%), Gaps = 20/328 (6%)

Query: 5   LLKAENVRAYYKLEKVSVKAVDGLSFEILEDEVIGVVGESGCGKTTLSNVIFMNMVKPLT 64
           LL   N+          V+A++ +S  +   E+ G+VGESG G++ L+  I        T
Sbjct: 3   LLDVRNLTIELDTPHGRVRALEKVSLTLNAGEIHGLVGESGSGRSLLARAILGIPGPNWT 62

Query: 65  LVDGKIFLRVNGEFVELSSMTRDEVKRKFWGKEITIIPQAAMNALMPTIR-----MEKYV 119
           +   ++    N     L +MT  E +R   G ++ +I Q    +L P+       M+   
Sbjct: 63  ITADRMMWDGNN----LMAMTSKE-RRNLMGSDMAMIFQDPSGSLDPSQTVGSQLMQAMP 117

Query: 120 RHLAESHGIDEEELLDKARRRFEEVGL-DPLWIK-RYPFELSGGMRQRAVIAIATILNPS 177
           ++         +     A++   +VG+ +P  +   Y +ELS G  Q+ +IA+A    P 
Sbjct: 118 KNPKAYFWQKHKHAKLTAQKWLHKVGIKNPQKVMLSYAWELSEGECQKVMIAMAIANQPR 177

Query: 178 LLIADEPTSALDVVNQKVLLKVLMQMKRQGIVKSIIFITHDIATVRQIADRMIIMYAGKI 237
           LLIADEPT+++++  Q  + ++L Q+ +   V SI+ I+H++ T+ Q  D + ++Y G++
Sbjct: 178 LLIADEPTNSMELSTQAQIFRLLSQLNQLQNV-SILIISHELETLAQWCDHLSVLYCGQV 236

Query: 238 VEFAPVESLLEKPLHPYTQGLFNSVLTPE---PEVKKRGITTIPGAPPNLINPPSGCRFH 294
           +E  P E L+ +P HPYT+ L +++  P+    E  K  + T+PG+ P L + P GCR  
Sbjct: 237 MESGPTEELINQPYHPYTKALLDNM--PDYSGIEAHKAIMPTLPGSAPALQHLPIGCRLG 294

Query: 295 PRCPHAMDVCKEKEPPLTEIEPGRRVAC 322
           PRCP A   C   +P L+ +   R  AC
Sbjct: 295 PRCPEAQKKC-VNQPSLSHLR-DRYFAC 320


Lambda     K      H
   0.321    0.138    0.405 

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: 260
Number of extensions: 17
Number of successful extensions: 4
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: 330
Length of database: 335
Length adjustment: 28
Effective length of query: 302
Effective length of database: 307
Effective search space:    92714
Effective search space used:    92714
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