GapMind for catabolism of small carbon sources

 

Aligments for a candidate for livJ in Herbaspirillum seropedicae SmR1

Align ABC transporter substrate-binding protein-branched chain amino acid transport, component of The branched chain hydrophobic amino acid transporter, LivJFGHM (characterized)
to candidate HSERO_RS14690 HSERO_RS14690 amino acid ABC transporter periplasmic protein

Query= TCDB::Q8DQI1
         (386 letters)



>FitnessBrowser__HerbieS:HSERO_RS14690
          Length = 385

 Score =  164 bits (416), Expect = 3e-45
 Identities = 112/333 (33%), Positives = 168/333 (50%), Gaps = 19/333 (5%)

Query: 41  IKIGFNFEESGSLAAYGTAEQKGAQLAVDEINAAGGIDGKQIEVVDKDNKSETAEAASVT 100
           IK+G     +G  A YG A + G  LA +EINA GG++G ++ +V +D + +  EA +V 
Sbjct: 28  IKLGVAEALTGPAAKYGVAIKNGFTLASEEINAKGGVNGDKLALVIEDEQGKKEEAINVF 87

Query: 101 TNLVTQSKVSAVVGPATSGATAAAVANATKAGVPLISPSATQDGLTKGQDYLFIGTFQDS 160
             L+ Q KV AV GP  S +  AA   A  A V +   S T DG+T    + F  +  ++
Sbjct: 88  KKLIFQDKVLAVFGPTLSNSAFAADPIANAAKVVVFGTSNTADGITAMGPFTFRNSVMEA 147

Query: 161 FQGKIISNYVSEKLNAKKVVLYTDNASDYAKG---IAKSFRESYKGEIVADETFVAGDTD 217
               +      +    KKV +   N   + K    + K+  E  K  +   E +  GD D
Sbjct: 148 DVLPVTVKAAVKHFGIKKVAVIYGNDDAFTKSGYDVFKATLEHQKIPVTTTEAYAKGDVD 207

Query: 218 FQAALTKMKGKDFDAIVVPGYYNEAGKIVNQARGMGIDKPIVGGDGFNGEEFVQQATAEK 277
           F+A LTK+K  + DAIV      EA  I+ Q R +G+ +P +GG+G N  +  + A  + 
Sbjct: 208 FKAQLTKIKAGNPDAIVCSCLAEEAANIILQTRALGMKQPFIGGNGLNSPKLFEIA-KDA 266

Query: 278 ASNIYFISGFSTTVEVSAKAKAFLDAYRAKYNEEPSTFAALAYDSVHLVANAAKGAKNSG 337
             N    S +S   +  A  KAF+ AY+AK+  +P  FAA AYD++++VA+A K  K SG
Sbjct: 267 GDNTLMGSPWSAENQTPAN-KAFITAYKAKFGADPDQFAAQAYDAMYIVADALKNVKLSG 325

Query: 338 EIKNNLAKTKD----------FEGVTGQTSFDA 360
               NLAK +D           +G TG+ +F A
Sbjct: 326 ----NLAKDRDALRAALPAVKIDGATGKFAFRA 354


Lambda     K      H
   0.310    0.126    0.337 

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: 341
Number of extensions: 18
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: 386
Length of database: 385
Length adjustment: 30
Effective length of query: 356
Effective length of database: 355
Effective search space:   126380
Effective search space used:   126380
Neighboring words threshold: 11
Window for multiple hits: 40
X1: 16 ( 7.2 bits)
X2: 38 (14.6 bits)
X3: 64 (24.7 bits)
S1: 42 (21.8 bits)
S2: 50 (23.9 bits)

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

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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:

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