Alignments for a candidate for Psest_0084 in Thioalkalivibrio paradoxus ARh 1

GapMind for catabolism of small carbon sources

Alignments for a candidate for Psest_0084 in Thioalkalivibrio paradoxus ARh 1

Align TRAP transporter (characterized, see rationale)
to candidate WP_006748820.1 THITH_RS04915 DUF3394 domain-containing protein

Query= uniprot:A8LI82
         (743 letters)



>NCBI__GCF_000227685.2:WP_006748820.1
          Length = 910

 Score =  224 bits (572), Expect = 1e-62
 Identities = 137/368 (37%), Positives = 204/368 (55%), Gaps = 32/368 (8%)

Query: 79  RIVHIAGALALGFLLFAARTDFPGPGKETPLLGYVAYGLMVPALFSLGMAASFSMEIASG 138
           R +H+A A+ L FLLF AR                     +P+     +AA F + +A G
Sbjct: 68  RSIHLAFAVFLAFLLFPAR---------------------LPSRHGPHIAAGFYLLLALG 106

Query: 139 VMWNGIDEGIKFNETWLFGLPLIVATAG-GIVLSWFHKRARSGFSAP--DLVLAICGVAV 195
            +W    +  +  + W+   P+ +   G  + L+W   R       P  D +LA      
Sbjct: 107 -LWLLAWQQHQAEQPWV---PVYLLIGGVALALAWPAWRPAPLERIPWIDWLLAFAAALT 162

Query: 196 ATYLITIYGTLMRNSTGTPFAPIGISIAAVAGTALIMELTRRVAGMALIVIAGIFLAYVF 255
           A YL   +  L +   G P   +   IAA  G  L++E TRRV G AL+VIAG+FL Y F
Sbjct: 163 AGYLFLFHQELAQRP-GRPI--LADMIAAGLGMLLLLEATRRVLGPALMVIAGVFLLYTF 219

Query: 256 VGQYLPGFLNAPAVTWQRFFSQVY-TDAGILGPTTAVSSTYIILFIIFAAFLQASKVGDY 314
            G ++P  L     ++ R  SQ + ++ G+ G    VS++++ LF++F A L+ +  G Y
Sbjct: 220 AGPWMPDVLAHRGASFGRAMSQQWLSNEGVFGIALGVSTSFVFLFVLFGALLERAGAGGY 279

Query: 315 FVNFAFAAAGQSRGGPAKVAIFASGLMGMINGTSAGNVVATGSLTIPLMKKVGYHKKTAG 374
           F+  AFA  G  RGGPAK A+ ASGL G+++G+S  NVV TG+ T+PLMK+ G+    AG
Sbjct: 280 FIRVAFALLGHLRGGPAKAAVVASGLTGVVSGSSIANVVTTGTFTVPLMKRTGFPAAKAG 339

Query: 375 AVEAAASTGGQIMPPIMGAGAFIMAEITGIPYTEIALAAIIPAILYFVSVYFMVDLEAAK 434
           AVE A+S  GQ+MPP+MGA AF+M E  GIPY E+   A +PA++ ++++ ++V LEA K
Sbjct: 340 AVEVASSVNGQLMPPVMGAAAFLMVEYVGIPYVEVIKHAFLPALIAYLALLYIVHLEACK 399

Query: 435 LGMRGMSR 442
            G+ G+ R
Sbjct: 400 SGLEGLPR 407



 Score =  125 bits (314), Expect = 1e-32
 Identities = 81/285 (28%), Positives = 143/285 (50%), Gaps = 26/285 (9%)

Query: 455 VYLFLPIIILIYALFM-----GYSVIRA-----GTLATVAAAVVSW------FTPFRMGP 498
           ++  LP+++LI+AL +     G S   A     G L T    ++ +            G 
Sbjct: 496 LHYLLPVVVLIWALVVERLSPGLSAFWAVLFLIGILLTQRPLMLFFRGRRGHLQAAMAGV 555

Query: 499 RSIAKAFEIAGTMSVQIIAVCACAGIIVGVISLTGVGARFSAVLLGIADTSQLLALFFAM 558
             + +         + I    A AGIIVG +++TG+G   + ++  ++    LL L    
Sbjct: 556 HDLGQGLVQGARNMIGIGVATAAAGIIVGTVAMTGIGLVMTDLVEWLSGGHLLLMLLLTA 615

Query: 559 CIAILLGMGMPTTAAYAVAASVVAPGLVQLG------IPLLTAHFFVFYFAVLSAITPPV 612
            I ++LG+G+PTTA Y + A+++AP +V L       IPL+ AH FVFYF +++ +TPPV
Sbjct: 616 VICLVLGLGLPTTANYIIVATLMAPVIVDLAAQNDLLIPLIAAHLFVFYFGIMADVTPPV 675

Query: 613 ALASYAAAGISGANPMETSVTSFKIGIAAFIVPFMFFYNSAILM---DGTWFEVLRAGAT 669
            LAS+AAA ++ A+P+ T + +F   +    +PF+F +N+ +L+   D  W ++      
Sbjct: 676 GLASFAAAAVARADPIRTGIQAFWYSLRTVTLPFVFVFNTQLLLIGVDNLW-QLTLTFFG 734

Query: 670 AVVGVFFLSSGVQGWFMGGRAAWFLRVGLVFAALMLIEGGIMSDL 714
           ++ G+    +  Q + +     W   + L+ A  +L+ G  M  L
Sbjct: 735 SLAGILVFVAATQHYLLVRNRVWETALLLLVALTLLVPGVWMDRL 779


Lambda     K      H
   0.327    0.140    0.419 

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: 1794
Number of extensions: 122
Number of successful extensions: 5
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: 743
Length of database: 910
Length adjustment: 42
Effective length of query: 701
Effective length of database: 868
Effective search space:   608468
Effective search space used:   608468
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 (21.7 bits)
S2: 56 (26.2 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