Aligments for a candidate for aruI in Sphingomonas koreensis DSMZ 15582

GapMind for catabolism of small carbon sources

Aligments for a candidate for aruI in Sphingomonas koreensis DSMZ 15582

Align Probable 2-ketoarginine decarboxylase AruI; 2-oxo-5-guanidinopentanoate decarboxylase; 5-guanidino-2-oxopentanoate decarboxylase; EC 4.1.1.75 (characterized)
to candidate Ga0059261_1674 Ga0059261_1674 Thiamine pyrophosphate-requiring enzymes [acetolactate synthase, pyruvate dehydrogenase (cytochrome), glyoxylate carboligase, phosphonopyruvate decarboxylase]

Query= SwissProt::Q9HUI8
         (559 letters)



>FitnessBrowser__Korea:Ga0059261_1674
          Length = 555

 Score =  282 bits (721), Expect = 3e-80
 Identities = 186/530 (35%), Positives = 276/530 (52%), Gaps = 19/530 (3%)

Query: 31  TAGQALVRLLANYGVDTVFGIPGVHTLELYRGLP--GSGIRHVLTRHEQGAGFMADGYAR 88
           T G ALV  L  +GVDT FG+PGV   EL+ GL   G  IR V +RHEQGA +MA GYA 
Sbjct: 18  TGGDALVAGLHRWGVDTFFGVPGVQLDELFDGLQRGGGDIRVVHSRHEQGAAYMALGYAM 77

Query: 89  VSGKPGVCFVITGPGVTNVATAIGQAYADSVPLLVISSVNHSASLGKGWGCLHETQDQRA 148
           V+GKPGVC V+ GPG+ N   A+  AYA +  +L ++S  +SA + + +G LHE  DQ  
Sbjct: 78  VTGKPGVCAVVPGPGLLNAGAALSTAYACNARVLCLTSTVNSALIDRRYGALHEINDQDG 137

Query: 149 MTAPITAFSALALSPEQLPELIARAYAVFDSERPRPVHISIPLDVLAAPVAHDWSAAVAR 208
           +   +T +SA A    ++P L+  A+    + RPRPV + IP D+LA      +  A+  
Sbjct: 138 LLRSLTKWSARATHASEIPGLLDEAFRQLLTGRPRPVALEIPPDILAQTGFFTYPDAL-- 195

Query: 209 RPGRGVPCSE--ALRAAAERLAAARRPMLIAGGGALAAGEALAALSERLAAPLFTSVAGK 266
            P    P ++  A+  AA  +A AR PM++ G GA  AG  + AL+E + AP+ +   G+
Sbjct: 196 -PSLANPLADPAAIEQAATLIAGARNPMIVVGSGAQEAGREVRALAELIQAPIVSRHMGR 254

Query: 267 GLL--PPDAPLNAGASLCVAPGWEMIAEADLVLAVGTEMADTDFWRERLPLSGELIRVDI 324
           G++    D  L A A+L   P W    + D+V+ +G+ +     W     L  +++ +D+
Sbjct: 255 GVVRSDDDYALPAAAAL---PHW---PDVDVVIGIGSRLTQLREWGMGGGL--KVVHIDL 306

Query: 325 DPRKFNDFYPSAVALRGDARQTLEALLVRLPQEARDSAPAAARVARLRAEIRAAHAPLQA 384
           D  + N   P AV +  DA +    L+  L ++    AP  A  A +RA  R   A    
Sbjct: 307 DQSEINRIAPPAVGIVADAAEATAKLVDALAEKNLSPAPRTAEFAAIRAAFREEVATEIQ 366

Query: 385 LHQAILDRIAAALPADAFVSTDMTQLAYTGNYAFASRAPRSWLHPTGYGTLGYGLPAGIG 444
                LD I AA+  D     +MTQ+ Y   YA     PR++++ +  GTLGYG    +G
Sbjct: 367 PQVGYLDVIRAAMAEDDVFVDEMTQVGYASRYALPVYTPRTYVNSSYQGTLGYGFATALG 426

Query: 445 AKLGAPQRPGLVLVGDGGFLYTAQELATASEELDSPLVVLLWNNDALGQIRDDMLG-LDI 503
           A++GA +R  + + GDGGF+YT  ELATA      PL+ +++N+   G +R         
Sbjct: 427 AQVGAGKRRVISVNGDGGFMYTMPELATAVLH-RIPLIAIVFNDGNFGNVRRIQANKYGG 485

Query: 504 EPVGVLPRNPDFALLGRAYGCAVRQPQDLDELERDLRAGFGQSGVTLIEL 553
             +     NPDF  L  ++G A  + +  + L   L    G  G  LIE+
Sbjct: 486 RLIASNLHNPDFVALAHSFGVAGLKAEGPEGLATALETARGLEGPVLIEV 535


Lambda     K      H
   0.321    0.136    0.412 

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: 765
Number of extensions: 40
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: 559
Length of database: 555
Length adjustment: 36
Effective length of query: 523
Effective length of database: 519
Effective search space:   271437
Effective search space used:   271437
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: 53 (25.0 bits)

This GapMind analysis is from Sep 17 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 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