Alignments for a candidate for Psest_0084 in Phaeobacter inhibens BS107

GapMind for catabolism of small carbon sources

Alignments for a candidate for Psest_0084 in Phaeobacter inhibens BS107

Align alpha-ketoglutarate TRAP transporter, 4TM/12TM components (characterized)
to candidate GFF1595 PGA1_c16170 TRAP transporter, 4TM/12TM fusion protein

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



>FitnessBrowser__Phaeo:GFF1595
          Length = 869

 Score =  329 bits (844), Expect = 3e-94
 Identities = 227/690 (32%), Positives = 347/690 (50%), Gaps = 76/690 (11%)

Query: 18  LFYVALLFSIYQIVTAAFHPVSSQVL--------RAGHVGFLLLLVFLCYPARGNGKPFQ 69
           L  VA+++S++Q+V A+  PVS+ +L        R  H+ F + L +  YPA  +    +
Sbjct: 38  LAIVAVIWSVFQVVLAS--PVSNLLLPGSVVNNSRQIHLAFAIFLAYAAYPALKSSPTDR 95

Query: 70  -PVA-WLLGLAGFATFFYQWYFEADLIQRSGDMTTADMVVGLTLIVLVFEAARRVMGIAL 127
            PV  W+L L G  T  Y + F   ++   G     D +     +VL+FE ARR +G A+
Sbjct: 96  IPVQDWILALIGTFTALYGYIFYEKIVNSGGKGDDIDTIFAAIGLVLLFEGARRALGPAM 155

Query: 128 PIICALFLAYGLLG--EYLPGDLAHRGYYLDQIVNQLSFGTEGLYGTPTYVSATYIFLFI 185
            I+ ++F+ Y   G  E +P  +  +G  LD+ + Q+   +EG++G    VS  ++FLF+
Sbjct: 156 AIVASVFMLYVFFGSSELVPDVIRWKGASLDRAMEQMWITSEGVFGIALGVSTKFVFLFV 215

Query: 186 LFGSFLEQAGMIKLFTDFAMGLFGHKLGGPAKVSVVSSALMGTITGSGVANVVTTGQFTI 245
           LFG+ L++AG    F   A G  GH  GGPAK +VV SA  G I+GS +ANVVTTG FTI
Sbjct: 216 LFGALLDKAGAGNYFIKMAFGALGHLRGGPAKAAVVGSAATGLISGSSIANVVTTGTFTI 275

Query: 246 PLMKRFGYRPAFAGGVEATSSMGSQIMPPVMGAVAFIMAETINVPFVEIAKAALIPALLY 305
           PLMKR G+    AG VE  SS+  QIMPPVMGA AF+M E + + +VE+   A +PA + 
Sbjct: 276 PLMKRVGFSSEQAGSVEVASSVNGQIMPPVMGAAAFLMVEYVGISYVEVITHAFLPAAIS 335

Query: 306 FGSVFWMVHLEAKR-----AGLKGLPKDECPSAMAAVKERWYLL---------------- 344
           + ++ ++VHLEA +      G + +        MAA    +  L                
Sbjct: 336 YIALVYIVHLEAVKRNMPTLGNRVVSMGRTIGGMAAFFAGFAALCYGIQYPIKAITAAIP 395

Query: 345 ----IPLVVLVWLLFSGRTPMFAGTIGLA------------------------LTAIVIL 376
               + L +LV   + G   + AGT  L                         L  I++L
Sbjct: 396 GASGLVLSLLVVAAYLGLLWLAAGTDDLVPDDPNAAEVELPVVGEIYKAGLHYLLPIIVL 455

Query: 377 GSAIILKVSNFALRIAFWIALGLLCAGFFQLGIGVIFGVIAALVAVCWFIKGGRDTLVIC 436
              ++++  +  L  AFW    L      Q  +  +F   + L     F+ G  D     
Sbjct: 456 VYFLMIEQKSPGLS-AFWATALLFVILLTQKPLKALFRGQSTLAHS--FLDGVHD----L 508

Query: 437 LHALVEGARHAVPVGIACALVGVIIGVVSLTGVASTFAGYILAVGENNLFLSLLLTMLTC 496
            + L++GAR+ + + +A A  GVI+G V+LTGV    +  +  +   NL L L++  L  
Sbjct: 509 WNGLIDGARNMIGIALATATAGVIVGTVTLTGVGQVMSELVELMSGGNLILMLIMVGLLS 568

Query: 497 LVLGMGIPTIPNYIITSSIAAPALLDLG------VPLIVSHMFVFYFGIMADLTPPVALA 550
           LVLGMG+PT  NYI+ SS+ A  +++LG      VPLI  H+FVFYFGIMAD+TPPV LA
Sbjct: 569 LVLGMGLPTTANYIVVSSLMAGVVVELGAQSGLVVPLIAVHLFVFYFGIMADVTPPVGLA 628

Query: 551 CFAAAPIAKERGLKISMWAIRIAIAGFIVPFMAVYNPALMMQGGDWGATLYMLFKAAFAV 610
            FAAA ++    ++    A   ++    +PF+ ++N  L++    W   + +   A  A+
Sbjct: 629 SFAAAAVSGGDAIRTGFVAFFYSLRTVALPFVFIFNTDLLLIDVGWVQGILVAISATIAI 688

Query: 611 GLWGAVFTGYLQRPMALWEKVLAFAAAASM 640
             + A    Y      ++E VL    A ++
Sbjct: 689 LAFTAGTMNYFITRNRIYESVLLVLVAFAL 718


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: 1621
Number of extensions: 93
Number of successful extensions: 5
Number of sequences better than 1.0e-02: 1
Number of HSP's gapped: 3
Number of HSP's successfully gapped: 2
Length of query: 674
Length of database: 869
Length adjustment: 40
Effective length of query: 634
Effective length of database: 829
Effective search space:   525586
Effective search space used:   525586
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: 55 (25.8 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:

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