GapMind for catabolism of small carbon sources

 

Alignments for a candidate for etfA in Azospirillum brasilense Sp245

Align butanoyl-CoA dehydrogenase (NAD+, ferredoxin) (subunit 1/3) (EC 1.3.1.109) (characterized)
to candidate AZOBR_RS16915 AZOBR_RS16915 electron transfer flavoprotein subunit beta

Query= BRENDA::Q18AQ5
         (336 letters)



>FitnessBrowser__azobra:AZOBR_RS16915
          Length = 312

 Score =  166 bits (419), Expect = 9e-46
 Identities = 118/329 (35%), Positives = 176/329 (53%), Gaps = 22/329 (6%)

Query: 3   NVLVVIEQRENVIQTVSLELLGKATEIAKDYDTKVSALLLGSKVEGLIDTLAHY-GADEV 61
           ++LV+ E     ++  +L  +  A +I  +    +  L+ G   + + +  A   G  +V
Sbjct: 2   SILVIAEHDNAALKAATLNAVSAAAKIGGE----IHVLVAGQGAQAVAEAAATVAGVAKV 57

Query: 62  IVVDDEALAVYTTEPYTKAAYEAIKAADPIVVLFGATSIGRDLAPRVSARIHTGLTADCT 121
           ++ DD A A    E          K      VL  A+S G++L PRV+A +     +D T
Sbjct: 58  LLADDAAYAHPLPENVAPLVVNLAKGYGH--VLAAASSEGKNLLPRVAALLDVAAISDIT 115

Query: 122 GLAVAEDTKLLLMTRPAFGGNIMATIVCKDFRPQMSTVRPGVMKKNEP---DETKEAVIN 178
           G+ V+ DT      RP + GN +AT+   D   ++ TVR    +         T E++  
Sbjct: 116 GV-VSADT----FERPIYAGNAIATVKSAD-PIKVVTVRTTAFEAAAATGGSATVESIAG 169

Query: 179 RFKVEFNDADKLVQVVQVIKEAKKQVKIEDAKILVSAGRGMGGKENLDILYELAEIIGGE 238
                  DA     V Q + ++++  ++  AKI+VS GRGM   EN  +L  LA+ +G  
Sbjct: 170 T-----GDAGSARFVGQELTKSERP-ELTQAKIVVSGGRGMQSGENFKLLEALADKLGAA 223

Query: 239 VSGSRATIDAGWLDKARQVGQTGKTVRPDLYIACGISGAIQHIAGMEDAEFIVAINKNPE 298
           V  SRA +DAG++    QVGQTGK V P+LYIA GISGAIQH+AGM+D++ IVAINK+ E
Sbjct: 224 VGASRAAVDAGFVPNDYQVGQTGKIVAPELYIAVGISGAIQHLAGMKDSKVIVAINKDEE 283

Query: 299 APIFKYADVGIVGDVHKVLPELISQLSVA 327
           APIF+ AD G+V D+ K +PEL + L  A
Sbjct: 284 APIFQVADYGLVADLFKAVPELTAALDKA 312


Lambda     K      H
   0.316    0.135    0.371 

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: 275
Number of extensions: 12
Number of successful extensions: 2
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: 336
Length of database: 312
Length adjustment: 28
Effective length of query: 308
Effective length of database: 284
Effective search space:    87472
Effective search space used:    87472
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 (21.6 bits)
S2: 48 (23.1 bits)

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

Links

Downloads

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:

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:

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:

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