Alignments for a candidate for cbtD in Dechlorosoma suillum PS

GapMind for catabolism of small carbon sources

Alignments for a candidate for cbtD in Dechlorosoma suillum PS

Align CbtD, component of Cellobiose and cellooligosaccharide porter (characterized)
to candidate Dsui_2799 Dsui_2799 oligopeptide/dipeptide ABC transporter, ATP-binding protein

Query= TCDB::Q97VF5
         (362 letters)



>FitnessBrowser__PS:Dsui_2799
          Length = 670

 Score =  181 bits (458), Expect = 7e-50
 Identities = 114/315 (36%), Positives = 168/315 (53%), Gaps = 5/315 (1%)

Query: 45  ILEVHNLNVIYDEGNSRIIKAVNDVSFGVEKGEILGIIGESGSGKTTLISAILRAIRPPG 104
           +L V NL   +  G  R++ AV+ VSF V  GE   ++GESG GK+    A+LR +   G
Sbjct: 4   LLSVRNLKAGFLAGG-RVLTAVDGVSFAVAPGETFALLGESGCGKSATALALLRLLPNAG 62

Query: 105 KIISGKVIFNGMDIFSMTIDEFRKLLWKDISYVPQASQNALNPVLPISEIFYHEAISHGE 164
           +I  G+V   G +I ++     R       + + Q    +LNPVL I          H  
Sbjct: 63  RIQGGEVWLEGEEILALPEAAMRDRRGSAAAMIFQEPATSLNPVLTIGRQIGESLERHRG 122

Query: 165 ADKKRVIERASELLKLVGL-DPARVLKMYPFQLSGGMKQRVMIALSLLLNPKLILMDEPT 223
              +     A  LL  VG+ DP R L+ YPFQLSGGMKQR MIA++L   P+L++ DEPT
Sbjct: 123 MKGEAARREALALLTAVGIADPERRLEEYPFQLSGGMKQRAMIAIALAGEPRLLIADEPT 182

Query: 224 SALDMLNQELLLKLIKNINQEMGVTIVYVTHDILNIAQIANRLLVMYKGYVMEEGKTEEI 283
           +ALD+  Q  +L L+  +  E  + ++ +THD+  +A+ A+R+ VMY G ++E    +E 
Sbjct: 183 TALDVTIQAQILDLLARLQAERAMGMLLITHDLGVVARSAHRVGVMYAGEIVETAPRQEF 242

Query: 284 IKSPLNPYTSLLVSSIPSL-KGEVKVINVPLDEP-LVSKEKGCPFLARCSKAFGRCKEEL 341
             SP +PYT  L +++P L +   ++  +P   P L +   GC F  RC  A  RC+ E 
Sbjct: 243 FASPRHPYTQKLFAALPDLGQRGAQLATIPGQVPGLAAMPAGCRFAPRCPVAMDRCRLES 302

Query: 342 PE-IRLVYDRKVRCH 355
           P    L    +VRCH
Sbjct: 303 PGWTELEAGHQVRCH 317



 Score =  171 bits (433), Expect = 5e-47
 Identities = 104/301 (34%), Positives = 176/301 (58%), Gaps = 14/301 (4%)

Query: 63  IKAVNDVSFGVEKGEILGIIGESGSGKTTLISAILRAIRPPGKIISGKVIFNGMDIFSMT 122
           +KAV+ VS  +++G  L ++GESG GKTT   A+LR +       +G V  +G ++  + 
Sbjct: 375 VKAVDGVSLELQRGRTLALVGESGCGKTTAGKAVLRLLPA-----TGSVRLDGRELLGLP 429

Query: 123 IDEFRKLLWKDISYVPQASQNALNPVLPISEIFYHEAISHGEADKKRVIERAS--ELLKL 180
             E + L  + +  V Q    +LNP L + EI   E ++       R   RA+   LL+ 
Sbjct: 430 ERELKPLR-RRMQMVFQDPFASLNPRLTVGEII-EEGMTALRVAASRDERRAALAALLES 487

Query: 181 VGLDPARVLKMYPFQLSGGMKQRVMIALSLLLNPKLILMDEPTSALDMLNQELLLKLIKN 240
           VGL PA  L  YP + SGG +QR+ IA +L + P+L++ DEPTSALD+  Q  +L L++ 
Sbjct: 488 VGL-PAEALGRYPHEFSGGQRQRIAIARALAVQPELLVCDEPTSALDVSVQAQILNLLRR 546

Query: 241 INQEMGVTIVYVTHDILNIAQIANRLLVMYKGYVMEEGKTEEIIKSPLNPYTSLLVSSIP 300
           + +E+G+  +++TH+   +  +A+ + VMY G ++E+G  ++++ +P +PYT  L+S++P
Sbjct: 547 LQEELGLAYLFITHNFAVVEYLAHDVAVMYLGRIVEQGPVQQVLAAPCHPYTRALLSAVP 606

Query: 301 S--LKGEVKVINVPLDEPLVSK-EKGCPFLARCSKAFGRCKEELP-EIRLVYDRKVRCHL 356
              L G+ +++ +P + P  ++  +GC F  RC++A  RC++E P          VRCHL
Sbjct: 607 EPRLAGQREMVRLPGETPSPARPPQGCHFHPRCAQASERCRQEYPAPSTQAGGVVVRCHL 666

Query: 357 Y 357
           Y
Sbjct: 667 Y 667


Lambda     K      H
   0.319    0.138    0.391 

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: 501
Number of extensions: 22
Number of successful extensions: 6
Number of sequences better than 1.0e-02: 1
Number of HSP's gapped: 2
Number of HSP's successfully gapped: 2
Length of query: 362
Length of database: 670
Length adjustment: 34
Effective length of query: 328
Effective length of database: 636
Effective search space:   208608
Effective search space used:   208608
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: 52 (24.6 bits)

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

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Protein sequences (fasta format)
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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:

ublast finds a hit to a characterized protein at above 40% identity and 80% coverage, and bits >= other bits+10.
- (Hits to curated proteins without experimental data as to their function are never considered high confidence.)
HMMer finds a hit with 80% coverage of the model, and either other identity < 40 or other coverage < 0.75.

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:

ublast finds a hit at above 40% identity and 70% coverage (ignoring otherBits).
ublast finds a hit at above 30% identity and 80% coverage, and bits >= other bits.
HMMer finds a hit (regardless of coverage or other bits).

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:

our ignorance of proteins' functions,
omissions in the gene models,
frame-shift errors in the genome sequence, or
the organism lacks the pathway.

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
the source code
instructions for running GapMind on your computer

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

GapMind for catabolism of small carbon sources