Alignments for a candidate for Psest_0084 in Desulfacinum hydrothermale DSM 13146

GapMind for catabolism of small carbon sources

Alignments for a candidate for Psest_0084 in Desulfacinum hydrothermale DSM 13146

Align alpha-ketoglutarate TRAP transporter, 4TM/12TM components (characterized)
to candidate WP_084056873.1 B9A12_RS05490 DUF3394 domain-containing protein

Query= reanno::psRCH2:GFF84
         (674 letters)



>NCBI__GCF_900176285.1:WP_084056873.1
          Length = 688

 Score =  363 bits (932), Expect = e-104
 Identities = 223/657 (33%), Positives = 349/657 (53%), Gaps = 54/657 (8%)

Query: 12  SEWPRALFYVALLFSIYQIVTAAFHPVSSQVLRAGHVGFLLLLVFLCYP----------A 61
           S W  A+  V + +S++Q+  A++  + +  +RA H+ F LL+V+L +P          A
Sbjct: 33  SRW--AVPVVGVCWSLFQLSIASWLILDTWFVRAIHLAFGLLIVYLSFPMFKKPRLGIRA 90

Query: 62  RGNGKPFQPVAWLLGLAGFATFFYQWYFEADLIQRSGDMTTADMVVGLTLIVLVFEAARR 121
                    + W+LG+       Y       + QR G     D+VVG TL +L+ EA+RR
Sbjct: 91  LSAKDRIPLIDWVLGIVAALAALYVIIDYQGITQRYGAPIPRDIVVGFTLFILLLEASRR 150

Query: 122 VMGIALPIICALFLAYGLLGEYLPGDLAHRGYYLDQIVNQLSFGTEGLYGTPTYVSATYI 181
           V+G AL +I  +F  Y   G Y+P  +A +G  L++ V Q++  TEG+YG P  VSAT +
Sbjct: 151 VIGPALSLIAVVFTVYAFFGPYMPDVIAFKGVSLNRFVGQMTMSTEGIYGIPLDVSATIV 210

Query: 182 FLFILFGSFLEQAGMIKLFTDFAMGLFGHKLGGPAKVSVVSSALMGTITGSGVANVVTTG 241
           FLF+LFG+ LE+AG    F   A+ L G   GGPAK +V++S L G ++GS +AN+VTTG
Sbjct: 211 FLFVLFGAMLEKAGAGSFFIQMALSLLGGFKGGPAKAAVLASGLTGLVSGSSIANIVTTG 270

Query: 242 QFTIPLMKRFGYRPAFAGGVEATSSMGSQIMPPVMGAVAFIMAETINVPFVEIAKAALIP 301
            FTIPLMKR GY    A  +E  +S   Q+ PP+MGA AFI+AE +NVP++++ KAA IP
Sbjct: 271 TFTIPLMKRVGYPARKAAAIEVAASTDGQLAPPIMGAAAFIIAEYVNVPYIDVVKAAAIP 330

Query: 302 ALLYFGSVFWMVHLEAKRAGLKGLPKDECPSAMAAVKERWYLLIPLVVLVWLLFSGRTPM 361
           A   + ++ ++ H+EA + GL+GLP++E P          + +IPLV+L++ L   R   
Sbjct: 331 AFASYAALLYITHIEASKLGLRGLPRNELPPFFRTFVSGLHYIIPLVMLLYELVVLRHSP 390

Query: 362 FAGTIGLALTAIVILGSAIILKVSNFALRIAFWIALGLLCAGFFQLGIGVIFGVIAALVA 421
            A     A  AI ++   ++L+       +  ++A   L   F Q G+  IF  +AA   
Sbjct: 391 EAS----AFNAIWVIALVMLLQHP-----VKAYLAKEPLGPAFKQ-GLADIFSSLAA--- 437

Query: 422 VCWFIKGGRDTLVICLHALVEGARHAVPVGIACALVGVIIGVVSLTGVASTFAGYILAVG 481
                                GAR+ V V +A A  G+I+GVV++ G+       +  + 
Sbjct: 438 ---------------------GARNMVSVAMATAAAGIIVGVVAM-GLGGLINQIVDQLS 475

Query: 482 ENNLFLSLLLTMLTCLVLGMGIPTIPNYIITSSIAAPALLDLG------VPLIVSHMFVF 535
             N++L L++T    L++GMG+PT   YI+ +S+ APA++ +G      VPL+ +H+F F
Sbjct: 476 GGNIYLLLIITAFASLIIGMGLPTTATYIVMASLTAPAIVTVGGYYGFEVPLMAAHLFCF 535

Query: 536 YFGIMADLTPPVALACFAAAPIAKERGLKISMWAIRIAIAGFIVPFMAVYNPALMMQG-G 594
           +FGI+AD TPPV LA +AAA IA+   +   +      I   I+PFM ++N  L++ G  
Sbjct: 536 FFGILADDTPPVGLAAYAAAAIARSEPIPTGIQGFMYDIRTAILPFMFIFNHDLILHGIN 595

Query: 595 DWGATLYMLFKAAFAVGLWGAVFTGYLQRPMALWEKVLAFAAAASMVLAMPISDEIG 651
            W   L +   A      + +   G+       +E  L       M+    ++  +G
Sbjct: 596 SWTQGLLIFAMACLGNFAFASATQGWFITRNRFYEVPLLLGVTVIMMRPDAVAGWVG 652


Lambda     K      H
   0.330    0.143    0.445 

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: 1340
Number of extensions: 72
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: 674
Length of database: 688
Length adjustment: 39
Effective length of query: 635
Effective length of database: 649
Effective search space:   412115
Effective search space used:   412115
Neighboring words threshold: 11
Window for multiple hits: 40
X1: 15 ( 7.1 bits)
X2: 38 (14.6 bits)
X3: 64 (24.7 bits)
S1: 40 (21.8 bits)
S2: 54 (25.4 bits)

This GapMind analysis is from Sep 24 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:

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