Alignments for a candidate for adh in Trichormus variabilis ATCC 29413

GapMind for catabolism of small carbon sources

Alignments for a candidate for adh in Trichormus variabilis ATCC 29413

Align Aldehyde dehydrogenase; NAD/NADP-dependent aldehyde dehydrogenase; EC 1.2.1.3; EC 1.2.1.4 (characterized)
to candidate WP_011320250.1 AVA_RS17895 NAD-dependent succinate-semialdehyde dehydrogenase

Query= SwissProt::Q8GAK7
         (458 letters)



>NCBI__GCF_000204075.1:WP_011320250.1
          Length = 455

 Score =  434 bits (1115), Expect = e-126
 Identities = 231/457 (50%), Positives = 302/457 (66%), Gaps = 5/457 (1%)

Query: 1   MAIATIDPTTGITLKTFDAHTPEEVENRIARAEAAFRSLQNTSFEERARWMHKAADILES 60
           MAIATI+P TG TLKTF+     E+  ++  A+ AF   ++TSF ER++ +  AA+ILE 
Sbjct: 1   MAIATINPATGETLKTFEPLNDAEIAAKLDLADQAFEKYRHTSFAERSQALQAAANILEQ 60

Query: 61  EADEVARLIATEMGKTLTTAKYEALKSATGMRHFADHAQRYLSPETPVPASEVNASNLHV 120
           E  + A+L+  EMGK    A  E  K A   R++A++A  +L+  +     + +AS+  V
Sbjct: 61  EKADFAKLMTLEMGKPYKAAIAEVEKCAAVCRYYAENAADFLADVSV----KTDASHSFV 116

Query: 121 QFDPLGVVLAVMPWNYPLWQAVRFAAPALMAGNTGLLKHASNVPQCALYLGDLFARGGFP 180
           ++ PLG++LAVMPWN+P WQ  RFAAPALMAGN GLLKHASNVPQCAL + D+  R GFP
Sbjct: 117 RYQPLGIILAVMPWNFPFWQVFRFAAPALMAGNVGLLKHASNVPQCALAIEDIIHRAGFP 176

Query: 181 EGAFQTLLVEGKDVIPLVDDARIRAVTLTGSVAAGSAIAEAAGRNIKRSVLELGGMDVFI 240
            G FQTLL+    V  L+ D R++A TLTGS  AG+++A AAG+ IK++VLELGG D FI
Sbjct: 177 GGVFQTLLIGAAKVADLMADERVKAATLTGSEPAGASLAAAAGKQIKKTVLELGGSDPFI 236

Query: 241 VMPSADIEKAAAQAVIARLQNSGQSCIAAKRFYVHEDVYDRFEHLFVTGMAEAVAGDPLD 300
           V+ SAD+E AAA A  AR+ N+GQSCIAAKRF V E + D+FE L +        GDPL 
Sbjct: 237 VLESADVEAAAATATSARMLNNGQSCIAAKRFIVAEAIADQFEKLLLEKFTALKIGDPLH 296

Query: 301 ESTSFGPLATERGRQDVHELVRDAREKGAAVQCGG-EIPEGEGWYYPATVLTGVTEDMRI 359
             T  GPLAT    QD+ + V+ A + G  V  GG  + +  G +YPAT++  +  D  I
Sbjct: 297 PDTDLGPLATPDILQDLDQQVQTAVKSGGKVLTGGYPLADRPGNFYPATIIIDIPVDQPI 356

Query: 360 YREECFGPVACLYKVSSLQEAIALSNDSDFGLSSSVWTNDETEATEAARSIEAGGVFING 419
            +EE FGPVA L++V  +  AI L+N + FGL +S WTN++ E       IEAG VFING
Sbjct: 357 AQEEFFGPVALLFRVPDIDTAIQLANATPFGLGASAWTNNDQERDRLISEIEAGAVFING 416

Query: 420 LTASFPAVPFGGLKDSGYGRELSAYGIREFVNIKTVW 456
           L  S P +PFGG+K SGYGRELS  GI EFVN+KTVW
Sbjct: 417 LVKSDPRLPFGGIKRSGYGRELSIQGIHEFVNVKTVW 453


Lambda     K      H
   0.317    0.132    0.386 

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: 522
Number of extensions: 14
Number of successful extensions: 3
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: 458
Length of database: 455
Length adjustment: 33
Effective length of query: 425
Effective length of database: 422
Effective search space:   179350
Effective search space used:   179350
Neighboring words threshold: 11
Window for multiple hits: 40
X1: 16 ( 7.3 bits)
X2: 38 (14.6 bits)
X3: 64 (24.7 bits)
S1: 41 (21.7 bits)
S2: 51 (24.3 bits)

This GapMind analysis is from Sep 24 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
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