Alignments for a candidate for sdh in Cereibacter sphaeroides ATCC 17029

GapMind for catabolism of small carbon sources

Alignments for a candidate for sdh in Cereibacter sphaeroides ATCC 17029

Align gluconate 5-dehydrogenase (EC 1.1.1.69); D-sorbitol dehydrogenase (acceptor) (subunit 1/2) (EC 1.1.99.21) (characterized)
to candidate WP_011840949.1 RSPH17029_RS06740 glucose/quinate/shikimate family membrane-bound PQQ-dependent dehydrogenase

Query= BRENDA::Q70JN9
         (743 letters)



>NCBI__GCF_000015985.1:WP_011840949.1
          Length = 781

 Score =  479 bits (1234), Expect = e-139
 Identities = 264/655 (40%), Positives = 366/655 (55%), Gaps = 23/655 (3%)

Query: 89  PNDVPQMAPQQSASPASGDWAAYGHDDSQMRYSPLSEITPQNADQLKVAFVYHTGSYPRP 148
           P +V    P    S   G+W  YG      RYSPL +I  QN  +L+  + Y TG    P
Sbjct: 143 PTEVVSAEPDLGPSTPPGEWHQYGRTQYGQRYSPLEQINIQNVAELEQVWQYQTGDVKLP 202

Query: 149 GQTNKWAAETTPIKVGDGLYMCSAQNDIMKIDPATGKEIWRHNINEKYEAIPYTAACKGV 208
               +   + TP+KV D LY+C+  +  + +D ATGKE WR +     E+      C+GV
Sbjct: 203 QDVTETTYQVTPLKVADRLYICTPHDLAIALDAATGKEAWRFDARSGLESDRQHQTCRGV 262

Query: 209 TYFTSSQVPEGQPCHNRILEGTLDMRLIAVDAATGNLCEGFGNGGQVNLMQGLGESVPGF 268
           TY+      EG+ C  R+   T D RLIA+DA +G +C  F + G ++L  G+  +  GF
Sbjct: 263 TYWRDPARAEGELCAERVYLPTADARLIALDAKSGAVCTFFADEGTLHLENGMPYTPAGF 322

Query: 269 VSMTTPPPVVNGVVVVNHEVLDGQRRWAPSGVIRGYDAESGKFLWAWDVNRPNDHSQP-- 326
              T+PP  V G +++   V D    ++ SGVIR +DA +G  LW WD   P D + P  
Sbjct: 323 YYSTSPPVAVGGRIIIGGAVNDNFSIYSQSGVIRAFDANTGALLWNWDSANP-DKTAPID 381

Query: 327 -TGNNHYSRGTPNSWAAMTGDNALGLVYVPTGNSASDYYSALRSPEENKVSSAVVALDVK 385
                 Y+  +PNSW+  + D   GLVY+P GN   D     RSP   + SS+VVALDV 
Sbjct: 382 WMNGETYTANSPNSWSVFSVDEERGLVYIPLGNQVPDQLGFNRSPAVEEHSSSVVALDVA 441

Query: 386 TGSPRWVFQTVHKDVWDYDIGSQATLMDMPGQDGQPVPALIMPTKRGQTFVLDRRDGKPI 445
           TG   WVFQTVH D+WD D+ +Q  L+D+   DGQ VPAL+ PTK+G  +VL+R  G+PI
Sbjct: 442 TGQKAWVFQTVHHDLWDMDVPAQPVLIDL-DIDGQTVPALVQPTKQGDIYVLNRETGEPI 500

Query: 446 LPVEERPAPSPGVIPGDPRSPTQPWSTGMPALRVPDLKETDMWGMSPIDQLFCRIKFRRA 505
           LPV E PAP  G +  +  +PTQP  T   + +   L+E DMWG++  DQL CRI++ R 
Sbjct: 501 LPVTEEPAPQEGALREETPAPTQP--TSALSFKPDALREKDMWGVTLYDQLACRIQYHRL 558

Query: 506 NYTGEFTPPSVDKPWIEYPGYNGGSDWGSVSYDPQSGILIANWNITPMYDQLVTRKKADE 565
           NY G +TPPS++   I YPG  G  +WGSV+ DP+  ++       P   QLV    AD 
Sbjct: 559 NYEGRYTPPSLNGT-IVYPGNFGTFNWGSVAVDPERQVMFGMPTYLPFTSQLV--PAAD- 614

Query: 566 LGLMPIDDPNYKPGGGGAEGNGAMDGTPYGIVVTPFWDQYTGMMCNRPPYGMITAIDMKH 625
              +P    + K    G   N   +G PYG+++ PF     G+ C+ PP+G +   D++ 
Sbjct: 615 ---IPPPGADQKASEQGLNRN---EGAPYGVIMGPFLGP-LGVPCSAPPWGFVAGADLRT 667

Query: 626 GQKVLWQHPLGTARANGPWGLPTGLPWEIGTPNNGGSVVTAGGVVFIAAATDNQIRAIDE 685
           G+ + + H  GT R   P  LP  LP+++G P  GG +VT GGV F+ AA D+ +RA D 
Sbjct: 668 GE-IAYMHRNGTVRDMTP--LP--LPFKVGVPGIGGPIVTRGGVAFLGAAVDDYLRAYDV 722

Query: 686 HTGKVVWSAVLPGGGQANPMTYEANGHQYVAIMAGGHHFMMTPVSDQLVVYALPD 740
            TG  +W A LP GGQ+ PMTYE +G Q+V I+AGGH  + T   D ++ YALPD
Sbjct: 723 TTGDQLWQARLPAGGQSTPMTYEQDGRQFVVIVAGGHGSVGTKPGDYVIAYALPD 777


Lambda     K      H
   0.315    0.134    0.428 

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: 2129
Number of extensions: 145
Number of successful extensions: 8
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: 743
Length of database: 781
Length adjustment: 40
Effective length of query: 703
Effective length of database: 741
Effective search space:   520923
Effective search space used:   520923
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: 55 (25.8 bits)

This GapMind analysis is from Apr 10 2024. 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