GapMind for catabolism of small carbon sources

 

Aligments for a candidate for AZOBR_RS08240 in Cupriavidus basilensis 4G11

Align Leucine/isoleucine/valine ABC transporter,permease component (characterized, see rationale)
to candidate RR42_RS16970 RR42_RS16970 ABC transporter ATP-binding protein

Query= uniprot:G8ALI9
         (505 letters)



>FitnessBrowser__Cup4G11:RR42_RS16970
          Length = 386

 Score =  257 bits (657), Expect = 4e-73
 Identities = 158/348 (45%), Positives = 205/348 (58%), Gaps = 49/348 (14%)

Query: 156 VVVALAFPFT--PLADRQLLDIGILLLTYIMLGWGLNIVVGLAGLLDLGYVAFYAVGAYS 213
           +++AL  PF    L     + +    L YIML  GLNIVVG AGLLDLGY+AFYAVGAY 
Sbjct: 30  LIIALCAPFLVQTLGGNYWVRVLDFALIYIMLALGLNIVVGFAGLLDLGYIAFYAVGAYM 89

Query: 214 YALL-----AHYFGF-----------SFWVCLPLAGFLAAMSGVLLGFPVLRLRGDYFAI 257
            ALL     A+ F +           S W  LPLA  +AA  GVLLG P L+LRGDY AI
Sbjct: 90  MALLGSPHLANQFEWIHQLFPNGLHLSMWFVLPLAVLVAATFGVLLGAPTLKLRGDYLAI 149

Query: 258 VTLGFGEIIRIILINW---YQFTGGPNGISGIPRPSFFGIADFTRTPAEGTAAFHEMFGL 314
           VTLGFGEIIRI L N       T GP GI+ +     FG  DF+++        HE+FGL
Sbjct: 150 VTLGFGEIIRIFLNNLDRPLNITNGPKGITAVDPVHIFGF-DFSKS--------HEIFGL 200

Query: 315 EFSPLHRIIFLYYLILVLALVVNLFTMRVRKLPLGRAWEALREDDIACASLGINRTNMKL 374
           +F+P   +   YYL++VL + +    +R++   +GRA+ A+RED+IA  ++GIN  N+KL
Sbjct: 201 KFTP---VFMYYYLLVVLVIAIVFICLRLQNSRIGRAFVAIREDEIAAKAMGINTRNIKL 257

Query: 375 AAFAIAAMFGGFAGSFFATRQGFISPESFTFIESAIILAIVVLGGMGSQIGVVVAAFLVI 434
            AFA+ A FGG +G+ F   QGF+SPESF   ES  ILAIVVLGGMG   GV++   L++
Sbjct: 258 LAFAMGASFGGASGAVFGAFQGFVSPESFVLWESIYILAIVVLGGMGHIPGVILGGILLV 317

Query: 435 GLPEAFRELAD----------------YRMLAFGMGMVLIMLWRPRGL 466
           G  E  R +A+                 R L FG+ +V +ML+RP GL
Sbjct: 318 GFQELLRAVAEPAQNMIFGHTIVDAEVLRQLLFGLALVGVMLYRPAGL 365


Lambda     K      H
   0.329    0.144    0.438 

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: 584
Number of extensions: 38
Number of successful extensions: 5
Number of sequences better than 1.0e-02: 1
Number of HSP's gapped: 2
Number of HSP's successfully gapped: 1
Length of query: 505
Length of database: 386
Length adjustment: 32
Effective length of query: 473
Effective length of database: 354
Effective search space:   167442
Effective search space used:   167442
Neighboring words threshold: 11
Window for multiple hits: 40
X1: 15 ( 7.1 bits)
X2: 38 (14.6 bits)
X3: 64 (24.7 bits)
S1: 40 (21.8 bits)
S2: 51 (24.3 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