Aligments for a candidate for adiA in Shewanella sp. ANA-3

GapMind for catabolism of small carbon sources

Aligments for a candidate for adiA in Shewanella sp. ANA-3

Align arginine decarboxylase (EC 4.1.1.19) (characterized)
to candidate 7026738 Shewana3_3871 ornithine decarboxylase (RefSeq)

Query= BRENDA::P28629
         (755 letters)



>FitnessBrowser__ANA3:7026738
          Length = 720

 Score =  320 bits (819), Expect = 2e-91
 Identities = 206/633 (32%), Positives = 317/633 (50%), Gaps = 35/633 (5%)

Query: 121 DFIAGRAVAAMTRYRQQLLPPLFSALMKYSDIHEYSWAAPGHQGGVGFTKTPAGRFYHDY 180
           DF   +   A+ +Y Q LLPP F  L KY ++   ++A PGHQGG  F K P GR + D+
Sbjct: 90  DFYGKQVETAVQKYEQALLPPFFGTLKKYVEMGNSTFACPGHQGGQFFRKHPVGRQFFDF 149

Query: 181 YGENLFRTDMGIERTSLGSLLDHTGAFGESEKYAARVFGADRSWSVVVGTSGSNRTIMQA 240
           +GE +FR+DM      LG LL H GA  +++KYAA+VF AD+++ V+ GTS SN+    A
Sbjct: 150 FGETIFRSDMCNADVKLGDLLIHEGAPLDAQKYAAKVFNADKTYFVLNGTSSSNKVATNA 209

Query: 241 CMTDNDVVVVDRNCHKSIEQG-LMLTGAKPVYMVPSRNRYGIIGPIYPQEMQPETLQKKI 299
            +   D+V+ DRN HKS   G L+  GA P+Y+  +RN +G IG I     Q   L+++I
Sbjct: 210 LLAKGDLVLFDRNNHKSNHHGALIQAGATPIYLETARNPFGFIGGIDAHCFQESYLREQI 269

Query: 300 -SESPLTKDKAGQKP-SYCVVTNCTYDGVCYNAKEAQDLLEKTSDRLHFDEAWYGYARFN 357
            + +P   D+  Q+P    ++   TYDG  YNA++  D +    D + FD AW GY +F 
Sbjct: 270 RAVAPERADE--QRPFRLAIIQLGTYDGTIYNARQVVDRIGHLCDYILFDSAWVGYEQFI 327

Query: 358 PIYADHYAMRGE--PGDHNGPTVFATHSTHKLLNALSQASYIHVREGR-----GAINFSR 410
           P+  D   +  E  P D   P +  T S HK     SQ S IH ++          N  R
Sbjct: 328 PMMNDCSPLLLELTPED---PGIIVTQSVHKQQAGFSQTSQIHKKDSHIKGQARYCNHKR 384

Query: 411 FNQAYMMHATTSPLYAICASNDVAVSMMDGNSGLSLTQEVIDEAVDFRQAMARLYKEFTA 470
           FN A+MMHA+TSP Y + A+ DV   M +G SG  L +E +   ++ R+ + +  K    
Sbjct: 385 FNNAFMMHASTSPFYPLFAALDVNAKMHEGASGRYLWREAVKAGIEARKLLLKKCK---- 440

Query: 471 DGSWFFKPWNKEVVTDPQTGKTYDFADAPTKLLTTVQDCWVMHPGESWHGFKDIPDNWSM 530
               + KP+   ++     G+ +   D PT+ +      +   PG+ WH F         
Sbjct: 441 ----YIKPFIPSMI----EGRPWQ--DYPTEQMADDLRFFEFEPGQKWHSFDGYEKGQYF 490

Query: 531 LDPIKVSILAPGM-GEDGELEETGVPAALVTAWLGRHGIVPTRTTDFQIMFLFSMGVTRG 589
           +DP K  +  PG+  E G+  E G+PA ++  +L  + I+P +     I+FL +      
Sbjct: 491 VDPCKFLLTTPGIDAETGKYTEFGIPATILANFLRENNIIPEKCDLNSILFLMTPAEDMA 550

Query: 590 KWGTLVNTLCSFKRHYDANTPLAQVMPELVEQYPDTYANMGIHDLGDTMFAWLKENNPGA 649
           K   LV+ +  F++  D + PL++V+P +       Y +  I  L   M      ++   
Sbjct: 551 KMQHLVSQISRFEKLVDEDAPLSEVLPNVYNANKARYKDYTIRQLCQEMHNLYVSHDVKQ 610

Query: 650 RLNEAY--SGLPVAEVTPREAYNAIVDNNVELVSIENLPGRIAANSVIPYPPGIPMLLSG 707
              E +  +  P   + P+EA    +   VELV +  + GRIAA   +PYPPG+  ++ G
Sbjct: 611 LQKEMFRQAHFPTKVMDPQEANLEFIRGKVELVPLSQIEGRIAAEGALPYPPGVLCVVPG 670

Query: 708 ENFGDKNSPQVSYLRSLQSWDHHFPGFEHETEG 740
           E +G        Y  +L+   +  PGF  E +G
Sbjct: 671 EIWG---GAVQRYFLALEEGINLLPGFSPELQG 700


Lambda     K      H
   0.319    0.135    0.414 

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: 1257
Number of extensions: 60
Number of successful extensions: 8
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: 755
Length of database: 720
Length adjustment: 40
Effective length of query: 715
Effective length of database: 680
Effective search space:   486200
Effective search space used:   486200
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 (21.7 bits)
S2: 55 (25.8 bits)

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

Downloads

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

Related tools

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