Aligments for a candidate for aruI in Pseudomonas fluorescens FW300-N2E2

GapMind for catabolism of small carbon sources

Aligments for a candidate for aruI in Pseudomonas fluorescens FW300-N2E2

Align Probable 2-ketoarginine decarboxylase AruI; 2-oxo-5-guanidinopentanoate decarboxylase; 5-guanidino-2-oxopentanoate decarboxylase; EC 4.1.1.75 (characterized)
to candidate Pf6N2E2_5475 Acetolactate synthase, large subunit (EC 2.2.1.6)

Query= SwissProt::Q9HUI8
         (559 letters)



>FitnessBrowser__pseudo6_N2E2:Pf6N2E2_5475
          Length = 545

 Score =  446 bits (1146), Expect = e-129
 Identities = 263/539 (48%), Positives = 333/539 (61%), Gaps = 17/539 (3%)

Query: 31  TAGQALVRLLANYGVDTVFGIPGVHTLELYRGLPGSGIRHVLTRHEQGAGFMADGYARVS 90
           T G+ LV+LL  YGV+ VFGIPGVHT+ELYRGL  S IRHV  RHEQGAGFMADGYARVS
Sbjct: 3   TCGEVLVKLLHAYGVEQVFGIPGVHTVELYRGLARSNIRHVTPRHEQGAGFMADGYARVS 62

Query: 91  GKPGVCFVITGPGVTNVATAIGQAYADSVPLLVISSVNHSASLGKGWGCLHETQDQRAMT 150
           GKPGVCF+ITGPG+TN+ TA+GQAYADS+P+LVISSV     LG G G LHE  +Q A+ 
Sbjct: 63  GKPGVCFIITGPGMTNITTAMGQAYADSIPMLVISSVQSRNQLGGGRGKLHELPNQAALV 122

Query: 151 APITAFSALALSPEQLPELIARAYAVFDSERPRPVHISIPLDVLAAPVAHDWSAAVARRP 210
             + AFS   +S  +LP ++ARA+AVF + RPRPVHI IPLDVL    A    A+V    
Sbjct: 123 GGVAAFSHTLMSAAELPGVLARAFAVFQAGRPRPVHIEIPLDVLVED-ADALLASVPVNI 181

Query: 211 GRGVPCSEALRAAAERLAAARRPMLIAGGGALAAGEALAALSERLAAPLFTSVAGKGLLP 270
            R      A+   A +LA+A+RP+++AGGGA+ A   L  L+ERL AP+  ++  KGLLP
Sbjct: 182 NRAGAAPSAVAQMAAKLASAQRPLILAGGGAIDAAAELTELAERLGAPVALTINAKGLLP 241

Query: 271 PDAPLNAGASLCVAPGWEMIAEADLVLAVGTEMADTDF---WRERLPLSGELIRVDIDPR 327
              PL  G++  +     ++AEAD+VLA+GTE+A+TD+   +     + G L+R+DIDP 
Sbjct: 242 SRHPLLIGSTQSLVATRALVAEADVVLAIGTELAETDYDITFAGGFEIPGALLRIDIDPD 301

Query: 328 KFNDFYPSAVALRGDARQTLEALLVRLPQ----EARDSAPAAARVARLRAEIRAAHAPLQ 383
           +    YP  +AL  DAR    A+L  L Q    E RD      R ARLRAE++ +     
Sbjct: 302 QTVRNYPPYLALVADARVATRAVLDALSQHPLAERRDDW-GTTRAARLRAELQGSWDAAT 360

Query: 384 ALHQAILDRIAAALPADAFVSTDMTQLAYTGNYAFASRAPRSWLH-PTGYGTLGYGLPAG 442
                 LD +  ALP   FV  D TQ  YTGN  F    PR W +  TGYGTLGY LPA 
Sbjct: 361 RAQTLFLDTVLQALPEAVFVG-DSTQPVYTGNLTFNPEQPRRWFNSSTGYGTLGYALPAA 419

Query: 443 IGAKLGAPQ----RPGLV-LVGDGGFLYTAQELATASEELDSPLVVLLWNNDALGQIRDD 497
           IGA LG       RP +V L+GDGG  +T  ELA+A  E  +P++VLLWNN    +I+  
Sbjct: 420 IGAWLGGKDRGHGRPAVVCLIGDGGLQFTLPELASA-VEARTPVIVLLWNNQGYEEIKKY 478

Query: 498 MLGLDIEPVGVLPRNPDFALLGRAYGCAVRQPQDLDELERDLRAGFGQSGVTLIELRHA 556
           M+   IEPVGV    PDF  + RA GCA +    + +L   L A   + G TLIE+  A
Sbjct: 479 MVNRAIEPVGVDIYTPDFIGVARALGCAAQAIDGVAQLHAALLAACDRQGPTLIEIDQA 537


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: 821
Number of extensions: 33
Number of successful extensions: 7
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: 545
Length adjustment: 36
Effective length of query: 523
Effective length of database: 509
Effective search space:   266207
Effective search space used:   266207
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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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