GapMind for catabolism of small carbon sources

 

Alignments for a candidate for mtlK in Dinoroseobacter shibae DFL-12

Align ABC transporter for D-Sorbitol, ATPase component (characterized)
to candidate 3608244 Dshi_1648 ABC transporter related (RefSeq)

Query= reanno::BFirm:BPHYT_RS16095
         (369 letters)



>FitnessBrowser__Dino:3608244
          Length = 373

 Score =  343 bits (879), Expect = 6e-99
 Identities = 192/356 (53%), Positives = 235/356 (66%), Gaps = 6/356 (1%)

Query: 1   MASVTLRNIRKAYDENEVMRDINLDIADGEFVVFVGPSGCGKSTLMRMIAGLEDISGGDL 60
           MA + L  + KAY + +V+ +INLDI  GE +VFVGPSGCGKSTL+RMIAGLE I+GG L
Sbjct: 1   MADLKLTGVEKAYGDVKVLSNINLDIQQGELIVFVGPSGCGKSTLLRMIAGLEKITGGTL 60

Query: 61  TIDGMRVNDVAPAKRGIAMVFQSYALYPHMTLYDNMAFGLKLAGTKKPEIDAAVRNAAKI 120
            IDG  VNDV PA+RGIAMVFQSYALYPHMT+ +NM+F LK+A   + EIDAAV  AA+ 
Sbjct: 61  EIDGTVVNDVPPAQRGIAMVFQSYALYPHMTVRENMSFALKIAKKSQAEIDAAVEAAAEK 120

Query: 121 LHIDHLLDRKPKQLSGGQRQRVAIGRAITRKPKVFLFDEPLSNLDAALRVKMRLEFARLH 180
           L +   LDR PK LSGGQRQRVAIGR+I R PKV+LFDEPLSNLDAALRV  RLE A+L 
Sbjct: 121 LQLGQYLDRLPKALSGGQRQRVAIGRSIVRDPKVYLFDEPLSNLDAALRVATRLEIAQLK 180

Query: 181 DEL-KTTMIYVTHDQVEAMTLADKIVVLSAGNLEQVGSPTMLYHAPANRFVAGFIGSPKM 239
           + + ++TM+YVTHDQVEAMTLA +IVVL+ G + QVGSP  LY  P N FVA FIGSPKM
Sbjct: 181 EAMPESTMVYVTHDQVEAMTLATRIVVLAGGGIAQVGSPLELYEKPENEFVAQFIGSPKM 240

Query: 240 NFMEGVVQSVTHDGVTVRYETGETQRVAVEPAAVKQGDKVTVGIRPEHLHVGMAEDG--- 296
           N + G +   T    TV    G              G  V VG+RPE + V  A  G   
Sbjct: 241 NLLPGKIIG-TGAQTTVEMTDGGRAVSDYPSDDSLMGAAVNVGVRPEDM-VEAAPGGDYV 298

Query: 297 ISARTMAVESLGDAAYLYAESSVAPDGLIARIPPLERHTKGETQKLGATPEHCHLF 352
              +    E+LG+   LY E+    D  I ++  + +  KG+  +L A P   H+F
Sbjct: 299 FEGKVAITEALGEVTLLYFEAPSGEDPTIGKLQGIHKDLKGQVTRLTAEPAKVHVF 354


Lambda     K      H
   0.320    0.135    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: 446
Number of extensions: 25
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: 369
Length of database: 373
Length adjustment: 30
Effective length of query: 339
Effective length of database: 343
Effective search space:   116277
Effective search space used:   116277
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