Alignments for a candidate for xad in Skermanella stibiiresistens SB22

GapMind for catabolism of small carbon sources

Alignments for a candidate for xad in Skermanella stibiiresistens SB22

Align D-xylonate dehydratase YagF; EC 4.2.1.82 (characterized)
to candidate WP_037447510.1 N825_RS04865 dihydroxy-acid dehydratase

Query= SwissProt::P77596
         (655 letters)



>NCBI__GCF_000576635.1:WP_037447510.1
          Length = 579

 Score =  243 bits (620), Expect = 2e-68
 Identities = 200/555 (36%), Positives = 265/555 (47%), Gaps = 65/555 (11%)

Query: 92  IGMQMQAAAKEITRNGGIPFAAFVSDPCDGRSQGTHGMFDSLPYRNDAAIVFRRLIRSLP 151
           +  Q QA    +    G P         DG + G  GM  SL  R   A      +R   
Sbjct: 65  LNRQAQAVKIGVKAEAGTPREFTTITVTDGIAMGHAGMKSSLVSREVIADSVEVTMRG-H 123

Query: 152 TRRAVIGVATCDKGLPATMIALAAMHDLPTILVPGGATLPPTVGEDAGK-------VQTI 204
               ++G+A CDK LP  M+++  ++ +P++ + GG+ LP   G   GK        + +
Sbjct: 124 CYDGLVGLAGCDKSLPGMMMSMVRLN-VPSVFMYGGSILP---GRFKGKDVTVQDVFEAV 179

Query: 205 GARFANHELSLQEAAELGCRACASPGG-GCQFLGTAGTSQVVAEALGLALPHSALAPSGQ 263
           GA  A  ++S  +  EL C AC S G  G QF  TA T   V+EA+GLALP SA AP+  
Sbjct: 180 GAHSAG-KMSDADLHELECVACPSAGSCGGQF--TANTMACVSEAIGLALPGSAGAPAPY 236

Query: 264 AVWLEIARQSARAVSELDSRGITTRDILSDKAIENAMVIHAAFGGSTNLLLHIPAIAHAA 323
                 A  S RAV EL  R I  RDI++ KA+ENA V+ AA GGSTN  LH+PAIAH  
Sbjct: 237 ESRDAYAEASGRAVMELIRRNIRPRDIVTRKALENACVVVAASGGSTNAGLHLPAIAHEC 296

Query: 324 GCTIPDVEHWTRINRKVPRLVSVLPNGPDYHPTVRAFLAGGVPEVMLHLRDLGLLHLDAM 383
           G    D+     + ++ P +  + P G   +     F  GGVP +M  L D G LH D M
Sbjct: 297 GIEF-DLHDVAEVFKRTPYIADLKPGG--RYVAKDLFEIGGVPVLMKALLDGGYLHGDCM 353

Query: 384 TVTGQTVGENLEWWQASERRARFRQCLREQDGVEP-DDVILPPEKAKAKGLTSTVCFPTG 442
           TVTG+T+ ENL                 +QD + P  D I P         T  V    G
Sbjct: 354 TVTGKTIAENLAGVVFP----------TDQDVIRPTSDPITP---------TGGVVGLRG 394

Query: 443 NIAPEGSVIKATAIDPSVVGEDGVYHHTGRVRVFVSEAQAIKAIKREEIVQGDIMVVIGG 502
           N+AP G+++K   +         +    G  RVF  E  A  A++R E  +G+++V+   
Sbjct: 395 NLAPGGAIVKVAGMK--------MLQFRGPARVFDCEEDAFAAVERREYQEGEVLVIRYE 446

Query: 503 GP-SGTGMEETYQLTSALKHISWGKTVSLITDARFSGVSTGACFGHVSPEALAGGPIGKL 561
           GP  G GM E    TSAL     G  V+LITD RFSG + G C GHV PEA  GGPIG L
Sbjct: 447 GPRGGPGMREMLSTTSALYGQGMGDKVALITDGRFSGATRGFCIGHVGPEAAVGGPIGLL 506

Query: 562 RDNDIIEIAVDRLTLTGSVNFIGTADNPLTPEEGARELARRQTHPDLHAHDFLPDDTRLW 621
           RD DII I  +  T+T     +  +D+         ELA R++      HDF      LW
Sbjct: 507 RDGDIIAIDAEAGTIT-----VELSDD---------ELASRRSAWTPRQHDF--QSGALW 550

Query: 622 AALQSVSGGTWKGCI 636
              Q V G   KG +
Sbjct: 551 KYAQLV-GDAEKGAV 564


Lambda     K      H
   0.319    0.136    0.411 

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: 1043
Number of extensions: 71
Number of successful extensions: 6
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: 655
Length of database: 579
Length adjustment: 37
Effective length of query: 618
Effective length of database: 542
Effective search space:   334956
Effective search space used:   334956
Neighboring words threshold: 11
Window for multiple hits: 40
X1: 16 ( 7.4 bits)
X2: 38 (14.6 bits)
X3: 64 (24.7 bits)
S1: 41 (21.7 bits)
S2: 53 (25.0 bits)

This GapMind analysis is from Sep 24 2021. 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 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