Alignments for a candidate for Slc2a5 in Clostridium tyrobutyricum FAM22553

GapMind for catabolism of small carbon sources

Alignments for a candidate for Slc2a5 in Clostridium tyrobutyricum FAM22553

Align The fructose/xylose:H+ symporter, PMT1 (polyol monosaccharide transporter-1). Also transports other substrates at lower rates. PMT2 is largely of the same sequence and function. Both are present in pollen and young xylem cells (Klepek et al., 2005). A similar ortholog has been identifed in pollen grains of Petunia hybrida (characterized)
to candidate WP_039652874.1 PN53_RS08915 sugar porter family MFS transporter

Query= TCDB::Q9XIH7
         (511 letters)



>NCBI__GCF_000816635.1:WP_039652874.1
          Length = 455

 Score =  194 bits (493), Expect = 6e-54
 Identities = 138/450 (30%), Positives = 220/450 (48%), Gaps = 30/450 (6%)

Query: 39  ILGYDIGVMSGASIFIKDDLKLSDVQLEILMGILNIYSLVGSGAAGRTSDWLGRRYTIVL 98
           + GYDIG+++GA   IK    +S +    +   L + +++G+      +D  GRR  I+ 
Sbjct: 20  MFGYDIGIINGALPGIKTTWGISPLLEGWITSGLFVGAMIGASLMASLADRFGRRRMIMW 79

Query: 99  AGAFFFCGALLMGFATNYPFIMVGRFVAGIGVGYAMMIAPVYTAEVAPASSRGFLTSFPE 158
           +   F  GAL   F+T+  F++  R + G+ VG A  + P+Y  E++PA  RG L+   +
Sbjct: 80  SAIVFVIGALGSAFSTSTSFLIFARIILGVAVGGASALVPMYMGEISPAEERGKLSGLNQ 139

Query: 159 IFINIGILLGYVSNYFFSKLPEHLGWRFMLGVGAVPSVFLAIGVLAMPESPRWLVLQGRL 218
           + I IG+L+ Y  NY F  + E  GWR+MLG   VP++ L  G   +PESPR+LV  G+ 
Sbjct: 140 LMITIGMLIAYGINYAFVHVFE--GWRWMLGGAMVPALVLLFGTFILPESPRFLVRIGKN 197

Query: 219 GDAFKVLDKTSNTKEEAISRLDDIKRAVGIPDDMTDDVIVVPNKKSAGKGVWKDLL-VRP 277
             A KVL    ++K EA S   +I                  N K +  G +KDL   + 
Sbjct: 198 ELARKVLQSMRSSK-EAESEYQEI-----------------INSKYSDSGSFKDLFGKKA 239

Query: 278 TPSVRHILIACLGIHFAQQASGIDAVVLYSPTIFSKAGLKSKNDQLLATVAVGVVKTLFI 337
            P+V    +A  G+   QQ  G + +  YS  I +K    S    +++TV +GVV  L  
Sbjct: 240 LPAV----VAGCGLTLLQQIQGANTIFYYSSQILAKV-FGSDIGGVISTVGIGVVFVLAT 294

Query: 338 VVGTCVVDRFGRRALLLTSMGGMFLSLTALGTSLTVINRNPGQTLKWAIGLAVTTVMTFV 397
           VV   +VDRF RR+L ++   GM +SL  +G        N      WA+      +  +V
Sbjct: 295 VVTLMIVDRFKRRSLFMSGSIGMGVSLLLVGLIYPYAQANHA----WAMWTVFILICVYV 350

Query: 398 ATFSIGAGPVTWVYCSEIFPVRLRAQGASLGVMLNRLMSGIIGMTFLSLSKGLTIGGAFL 457
             ++     VTW+   E+FP ++R     +   +N   + ++ + F  L + + +   F 
Sbjct: 351 IFYAYSWAAVTWIVVGELFPSQVRGIATGIASTVNWFGNILVALFFPVLLETVGLSMIFF 410

Query: 458 LFAGVAAAAWVFFFTFLPETRGIPLEEMET 487
            FA +    ++F    L ET+G  LEE+ET
Sbjct: 411 GFAAICILGFLFAKFVLYETKGKSLEEIET 440


Lambda     K      H
   0.324    0.140    0.415 

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: 647
Number of extensions: 38
Number of successful extensions: 5
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: 511
Length of database: 455
Length adjustment: 34
Effective length of query: 477
Effective length of database: 421
Effective search space:   200817
Effective search space used:   200817
Neighboring words threshold: 11
Window for multiple hits: 40
X1: 15 ( 7.0 bits)
X2: 38 (14.6 bits)
X3: 64 (24.7 bits)
S1: 40 (21.6 bits)
S2: 52 (24.6 bits)

This GapMind analysis is from Apr 09 2024. The underlying query database was built on Sep 17 2021.

Downloads

Candidates (tab-delimited)
Steps (tab-delimited)
Rules (tab-delimited)
Protein sequences (fasta format)
Organisms (tab-delimited)
SQLite3 databases

Related tools

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 2024 update 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