Aligments for a candidate for Echvi_1880 in Echinicola vietnamensis KMM 6221, DSM 17526

GapMind for catabolism of small carbon sources

Aligments for a candidate for Echvi_1880 in Echinicola vietnamensis KMM 6221, DSM 17526

Align SSS sodium solute transporter (characterized, see rationale)
to candidate Echvi_1880 Echvi_1880 transporter, SSS family

Query= uniprot:L0FZT5
         (624 letters)



>lcl|FitnessBrowser__Cola:Echvi_1880 Echvi_1880 transporter, SSS
           family
          Length = 624

 Score = 1224 bits (3167), Expect = 0.0
 Identities = 624/624 (100%), Positives = 624/624 (100%)

Query: 1   MSAGFSTLDYVIFIVYALAIVSVGLWVSRTKKGLEKTAQEYFLADKSLTWWAVGASLLAA 60
           MSAGFSTLDYVIFIVYALAIVSVGLWVSRTKKGLEKTAQEYFLADKSLTWWAVGASLLAA
Sbjct: 1   MSAGFSTLDYVIFIVYALAIVSVGLWVSRTKKGLEKTAQEYFLADKSLTWWAVGASLLAA 60

Query: 61  NISAEHFIGTSGSGFAIGLGISAYEWIAAIALIIVAKYFLPIFLKHGVYTMPQFLSERFN 120
           NISAEHFIGTSGSGFAIGLGISAYEWIAAIALIIVAKYFLPIFLKHGVYTMPQFLSERFN
Sbjct: 61  NISAEHFIGTSGSGFAIGLGISAYEWIAAIALIIVAKYFLPIFLKHGVYTMPQFLSERFN 120

Query: 121 KGVSTAFAVFWLLVYVFVNLTSVSYLGALALDKIMGIPLQYGIIGLLIFSGIYSIYGGLE 180
           KGVSTAFAVFWLLVYVFVNLTSVSYLGALALDKIMGIPLQYGIIGLLIFSGIYSIYGGLE
Sbjct: 121 KGVSTAFAVFWLLVYVFVNLTSVSYLGALALDKIMGIPLQYGIIGLLIFSGIYSIYGGLE 180

Query: 181 AVAWTDVVQVIILVAGGLITTFLALDAVGMGDGIFAGMSNLYNDAKDHFVMIMPQGRVMV 240
           AVAWTDVVQVIILVAGGLITTFLALDAVGMGDGIFAGMSNLYNDAKDHFVMIMPQGRVMV
Sbjct: 181 AVAWTDVVQVIILVAGGLITTFLALDAVGMGDGIFAGMSNLYNDAKDHFVMIMPQGRVMV 240

Query: 241 PDGLGGSRDAFQDLPGLAVILGGMWLTNLGYWGFNQYIIQKGLAAKSIEEAKKGLLFAGY 300
           PDGLGGSRDAFQDLPGLAVILGGMWLTNLGYWGFNQYIIQKGLAAKSIEEAKKGLLFAGY
Sbjct: 241 PDGLGGSRDAFQDLPGLAVILGGMWLTNLGYWGFNQYIIQKGLAAKSIEEAKKGLLFAGY 300

Query: 301 LKLLMPIIVVIPGIAAYVLINDYSPEQLAAILNMPVEHIGTIQKSDEAYPWLLRNFIPNG 360
           LKLLMPIIVVIPGIAAYVLINDYSPEQLAAILNMPVEHIGTIQKSDEAYPWLLRNFIPNG
Sbjct: 301 LKLLMPIIVVIPGIAAYVLINDYSPEQLAAILNMPVEHIGTIQKSDEAYPWLLRNFIPNG 360

Query: 361 IRGLAFAALAAAIVSSLASMINSTSTIFTMDIYKVYFKPNANNHQLVRTGRIVAVVALAI 420
           IRGLAFAALAAAIVSSLASMINSTSTIFTMDIYKVYFKPNANNHQLVRTGRIVAVVALAI
Sbjct: 361 IRGLAFAALAAAIVSSLASMINSTSTIFTMDIYKVYFKPNANNHQLVRTGRIVAVVALAI 420

Query: 421 AMIVAPQLASLDQVFQYIQEYTGYIYPGVVVVFGMGLIWRQATASAALWTAIATIPAGIV 480
           AMIVAPQLASLDQVFQYIQEYTGYIYPGVVVVFGMGLIWRQATASAALWTAIATIPAGIV
Sbjct: 421 AMIVAPQLASLDQVFQYIQEYTGYIYPGVVVVFGMGLIWRQATASAALWTAIATIPAGIV 480

Query: 481 FKIFYPEMPFLLRMGYVFIILCFIASLISFAEKKKFANPDYKTNKQAAKTVASSYFFIIL 540
           FKIFYPEMPFLLRMGYVFIILCFIASLISFAEKKKFANPDYKTNKQAAKTVASSYFFIIL
Sbjct: 481 FKIFYPEMPFLLRMGYVFIILCFIASLISFAEKKKFANPDYKTNKQAAKTVASSYFFIIL 540

Query: 541 GIICAVLGFALFNSYEHVGIESIFMIAALFLMLGTILYTNVKMETADPKSFNTDPVLFNT 600
           GIICAVLGFALFNSYEHVGIESIFMIAALFLMLGTILYTNVKMETADPKSFNTDPVLFNT
Sbjct: 541 GIICAVLGFALFNSYEHVGIESIFMIAALFLMLGTILYTNVKMETADPKSFNTDPVLFNT 600

Query: 601 TSSFNLGAAGIILIVGLLYYFFWM 624
           TSSFNLGAAGIILIVGLLYYFFWM
Sbjct: 601 TSSFNLGAAGIILIVGLLYYFFWM 624


Lambda     K      H
   0.327    0.142    0.427 

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: 1661
Number of extensions: 70
Number of successful extensions: 1
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: 624
Length of database: 624
Length adjustment: 37
Effective length of query: 587
Effective length of database: 587
Effective search space:   344569
Effective search space used:   344569
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: 54 (25.4 bits)

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

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

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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, or view the source code.

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