Alignments for a candidate for ytfR in Dyella japonica UNC79MFTsu3.2

GapMind for catabolism of small carbon sources

Alignments for a candidate for ytfR in Dyella japonica UNC79MFTsu3.2

Align galactofuranose ABC transporter putative ATP binding subunit (EC 7.5.2.9) (characterized)
to candidate N515DRAFT_3232 N515DRAFT_3232 xylose ABC transporter ATP-binding protein

Query= ecocyc::YTFR-MONOMER
         (500 letters)



>FitnessBrowser__Dyella79:N515DRAFT_3232
          Length = 513

 Score =  323 bits (829), Expect = 7e-93
 Identities = 193/501 (38%), Positives = 292/501 (58%), Gaps = 15/501 (2%)

Query: 9   ILRTEGLSKFFPGVKALDNVDFSLRRGEIMALLGENGAGKSTLIKALTGVY-HAD-RGTI 66
           +    G++K F GVKALD +D  LR GE + L GENGAGKSTL+K L+GVY H    G I
Sbjct: 7   LFEMRGIAKSFGGVKALDGIDLRLRAGECLGLCGENGAGKSTLMKVLSGVYPHGSWDGEI 66

Query: 67  WLEGQAISPKNTAHAQQLGIGTVYQEVNLLPNMSVADNLFIGREPKR-FGLLRRKEMEKR 125
             +GQ +  ++   +++ GI  ++QE+ L+P +SVA+N+F+G E  R  G +    M  +
Sbjct: 67  LWQGQPLRARSVRDSERAGIVIIHQELMLVPQLSVAENIFLGHEITRPGGRMDYDAMYAK 126

Query: 126 ATELMASYGF-SLDVREPLNRFSVAMQQIVAICRAIDLSAKVLILDEPTASLDTQEVELL 184
           A  L+   G   ++V  P   +    QQ+  I +A+   AK+LILDEPT+SL + E E+L
Sbjct: 127 ADALLQELGLHDVNVALPAMHYGGGHQQLFEIAKALAKQAKLLILDEPTSSLTSSETEVL 186

Query: 185 FDLMRQLRDRGVSLIFVTHFLDQVYQVSDRITVLRNGSFVGCRETCELPQIELVKMMLGR 244
             ++  L+ RGV+ I+++H LD+V +V D + V+R+G  +  +   EL    L+ +M+GR
Sbjct: 187 LGIVEDLKRRGVACIYISHKLDEVERVCDTVCVIRDGRHIATQPMHELDVDTLITLMVGR 246

Query: 245 ELDT------HALQRAGRTLLSDKPVAAFKNYG-KKGTIAPFDLEVRPGEIVGLAGLLGS 297
           +L+       HA+   G  +   +          ++  +     ++R GEI+G+AGL+G+
Sbjct: 247 KLENLYPRIEHAI---GEVIFEARHATCLDPVNPQRKRVDDVSFQLRRGEILGIAGLVGA 303

Query: 298 GRTETAEVIFGIKPADSGTAL-IKGKPQNLRSPHQASVLGIGFCPEDRKTDGIIAAASVR 356
           GRTE    IFG     S   L ++G+P  +RSP  A   G+G  PEDRK  GI+    V 
Sbjct: 304 GRTELVSAIFGAYTGKSSVELFLEGRPLKIRSPADAIRAGLGMVPEDRKRHGIVPLLGVG 363

Query: 357 ENIILALQAQRGWLRPISRKEQQEIAERFIRQLGIRTPSTEQPIEFLSGGNQQKVLLSRW 416
           +NI LA          I R+ +    E  I +  ++T S   PI  LSGGNQQK +L++ 
Sbjct: 364 DNITLATLDHYAHAGHIDRQRELVAIEAQIAERRVKTASPALPIARLSGGNQQKAVLAKM 423

Query: 417 LLTRPQFLILDEPTRGIDVGAHAEIIRLIETLCADGLALLVISSELEELVGYADRVIIMR 476
           LL RP+ LILDEPTRG+DVGA AEI RLI  L A G+A++++SSE+ E++G ADRV++M 
Sbjct: 424 LLARPKVLILDEPTRGVDVGAKAEIYRLIFELAAQGVAIVLVSSEMPEVLGMADRVLVMG 483

Query: 477 DRKQVAEIPLAELSVPAIMNA 497
           + +   + P   L+   ++ A
Sbjct: 484 EGRLRGDFPNQGLTQEQVLAA 504


Lambda     K      H
   0.321    0.138    0.391 

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: 600
Number of extensions: 39
Number of successful extensions: 10
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: 500
Length of database: 513
Length adjustment: 34
Effective length of query: 466
Effective length of database: 479
Effective search space:   223214
Effective search space used:   223214
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 (21.8 bits)
S2: 52 (24.6 bits)

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

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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
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