Alignments for a candidate for fruI in Williamsia sterculiae CPCC 203464

GapMind for catabolism of small carbon sources

Alignments for a candidate for fruI in Williamsia sterculiae CPCC 203464

Align The fructose inducible fructose/xylitol porter, FruI (characterized)
to candidate WP_076477611.1 BW971_RS05975 PTS transporter subunit EIIA

Query= TCDB::Q1LZ59
         (655 letters)



>NCBI__GCF_900156495.1:WP_076477611.1
          Length = 684

 Score =  392 bits (1006), Expect = e-113
 Identities = 258/689 (37%), Positives = 369/689 (53%), Gaps = 66/689 (9%)

Query: 4   QDLLNKDVMLLDLQA-TTKEAAIDEMVSKLVEQGIVTDFDTFKAGIMNREVQTSTGLGDG 62
           ++++  D++ LD+ A   K   ID +V +L   G V D        M RE Q++TGL  G
Sbjct: 3   ENIITTDLVALDVDAGAEKSEVIDFLVERLAADGRVHDTVAVNEAAMAREAQSATGLPGG 62

Query: 63  IAMPHSKNKAVKEATVLFAKSNKGVDYEALDGEPVDLFFMIAAPDGANDTHLAALAELSQ 122
           IA+PH + + V  A + FA+    VD+ A DG P DL F+IAAP      H+  L+ L++
Sbjct: 63  IAIPHCRTEGVSAAGLSFARLAPAVDFGAKDG-PADLVFLIAAPASGGSQHMKLLSSLAR 121

Query: 123 YLLKDGFADKLRQVTNPDDVINLFNATEEEKKEATPAAPV---------ADSHDFLVAVT 173
            L++  F   LR   + D+V+ L +         +PAA           A +   LVA+T
Sbjct: 122 ALVRPDFVTSLRNAKSADEVVALVDQAINPAPATSPAAAAVPAASGGAPAKAATRLVAIT 181

Query: 174 ACTTGIAHTYMAEEALKKQAAEMGVGIKVETNGASGVGNKLTADDIKRAKGVIIAADKAV 233
           AC TGIAHTYMA +ALK  A   GV + VET G+S          I+ A  VI A D  V
Sbjct: 182 ACPTGIAHTYMAADALKFAAERAGVDLVVETQGSSA-NTPTDPSVIRDADAVIFATDVGV 240

Query: 234 E-MDRFNGKPLISRPVAEGIKKPEELINIIL----DGKAEAYVADNSDLSSEASSSEKAG 288
           +  DRF GKP+I+  V   I +P+ +I   +    D  A     D +  ++ +++    G
Sbjct: 241 KNRDRFAGKPVIASGVKRAINEPDVMIAEAVAAAGDPDASRVGGDTAAAATASTAGGDLG 300

Query: 289 LGSAFYKHLMSGVSQMLPFVIGGGIMIALSFLIDQF---MGVPKSS-------------- 331
            G+   + L++GVS M+PFV  GG++IAL FL+  +   +  P S+              
Sbjct: 301 WGTRLRQVLLTGVSYMIPFVAAGGLLIALGFLLGGYKIALAPPGSADGTEAIGKTIALSN 360

Query: 332 ----LSHLGNYHEIAAIFNQVGNAAFGFMIPVFAAYIAYSIAEKPGLVAGFVAGSMATTG 387
               L   G    + AI   +G  AF F++P  A YIAY+IA++PGL  GF AG++A   
Sbjct: 361 SLWNLPSGGLAQYLGAICFTLGGLAFSFLVPALAGYIAYAIADRPGLAPGFTAGAVAVF- 419

Query: 388 LAFNKVAFFEFGEKASQASLTGIPSGFLGALAGGFLAGGVILVLKKALAFVPRSLEGIKS 447
                                 + +GF+G L GG L G V L + +    +P    G+  
Sbjct: 420 ----------------------VGAGFIGGLVGGLLGGFVALWVGRIP--LPAWARGLMP 455

Query: 448 ILLYPLLGVLVTGFLM-LFVNIPMAAINTALYNFLGNLSGGSAVLLGLIVGGMMAIDMGG 506
           +++ PLL  L TG +M LF+  P+A +NT+L ++L  LSG SA++LG+I+G MM  D+GG
Sbjct: 456 VVIIPLLATLATGGIMFLFLGRPLAWVNTSLTDWLNGLSGTSAIILGIILGLMMCFDLGG 515

Query: 507 PFNKAAYVFGTSTLTAAALAKGGSVVMASVMAGGMVPPLAVFVATLLFKNKFTQEEHDAG 566
           P NKAAY F    L++   A+    +MA+VMA GMVPPLA+ +AT L    FT+ E + G
Sbjct: 516 PVNKAAYAFAVQGLSSGDPAQ--LRIMAAVMAAGMVPPLALALATALRPRLFTEPERENG 573

Query: 567 LTNIVMGLSFITEGAIPFGAGDPARAIPSFIVGSAVTGALVGLSGIKLMAPHGGIFVIAL 626
               ++G SFI+EGAIPF A DP R IPS + G AVTGALV    + L APHGGIFV   
Sbjct: 574 KAAWLLGASFISEGAIPFAAVDPLRVIPSMMAGGAVTGALVMAFDVTLRAPHGGIFVFFA 633

Query: 627 TSNPLLYLLYIAVGAVIAGILFGSLRKVR 655
             N   +LL + VG VI+  L  +L+++R
Sbjct: 634 MGNVFGFLLSLLVGMVISATLVLALKQMR 662


Lambda     K      H
   0.320    0.137    0.381 

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: 1116
Number of extensions: 64
Number of successful extensions: 9
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: 684
Length adjustment: 39
Effective length of query: 616
Effective length of database: 645
Effective search space:   397320
Effective search space used:   397320
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: 54 (25.4 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