Alignments for a candidate for lacZ in Cupriavidus basilensis 4G11

GapMind for catabolism of small carbon sources

Alignments for a candidate for lacZ in Cupriavidus basilensis 4G11

Align Exo-alpha-(1->6)-L-arabinopyranosidase; APY; Beta-D-galactopyranosidase; EC 3.2.1.- (characterized)
to candidate RR42_RS30175 RR42_RS30175 beta-glucosidase

Query= SwissProt::E7CY69
         (757 letters)



>FitnessBrowser__Cup4G11:RR42_RS30175
          Length = 708

 Score =  322 bits (824), Expect = 6e-92
 Identities = 229/677 (33%), Positives = 337/677 (49%), Gaps = 61/677 (9%)

Query: 26  AWHLQGVESKGIPSYMITDGPHGLRKSLASSAGETDLDDSVPATCFPPAAGLSSSWNPEL 85
           A +++GV   GIP   + D   GLR         TD  D   AT  P    + +++NP L
Sbjct: 58  AGYVKGVPRLGIPPLKLADASLGLR--------HTDGPDDC-ATALPAGLAIGATFNPSL 108

Query: 86  IHKVGEAMAEECIQEKVAVILGPGVNIKRNPLGGRCFEYWSEDPYLAGHEAIGIVEGVQS 145
              +G  + +E       V LG G+N+ R+   GR FEY SEDP L+G     IV G Q 
Sbjct: 109 ARTIGNLIGKEARARDFNVALGGGINLVRDVRNGRNFEYISEDPLLSGLIGAEIVSGTQE 168

Query: 146 KGVGTSLKHFAANNQETDRLRVDARISPRALREIYFPAFEHIVKKAQPWTIMCSYNRING 205
           +GV   LKH + N  ET++  +DA I P A RE    AF+  ++K+QP  +M +YN +NG
Sbjct: 169 EGVIAVLKHVSLNASETNKFFLDAIIDPAAHRESDLLAFQIAIEKSQPGALMGAYNLVNG 228

Query: 206 VHSAQNHWLLTDVLRDEWGFDGIVMSDWGADHD-----RGASLNAGLNLEMPPSYTDDQI 260
            ++  N  +L + ++D  GF G VMSDW A +       G   +AG  L+    + +  +
Sbjct: 229 AYACGNRAILQETIKDAMGFKGWVMSDWLAVYGWEFALSGLDQHAGAQLDKQ-EWFNGPL 287

Query: 261 VYAVRDGLITPAQLDRMAQGMIDLVNKTRAAMSIDNYR----FDVDAHDEVAHQAAIESI 316
             A   G +   ++  M + M+    ++  A+ ID  R     D  AH+ VA QAA E I
Sbjct: 288 RQAYEQGKVPKERISDMVRRML----RSYYAIGIDQQRAAAPVDFAAHNAVALQAAREGI 343

Query: 317 VMLKNDDAILPLNAGPVANPSATPQKIAVIGEFARTPRYQGGGSSHITPT---------K 367
           V+LKN+   LPL AG         Q+IA+IG +A+T    G GSS + PT         +
Sbjct: 344 VLLKNEGQALPLAAGR--------QRIAIIGGYAQTGVLSGDGSSQVMPTSGYAAQVPLR 395

Query: 368 MTSFLDTLAERGIKADFAPGFTLDLEPADPALE-----SEAVETAKNADVVLMFLGLPEA 422
               L T   R   +         L  A    +     ++AV  AK AD+V+MF    EA
Sbjct: 396 SHPLLGTTVMRLFGSSPLAALRKQLPEAIIEFDCGAHIADAVAMAKRADIVVMFAYRHEA 455

Query: 423 VESEGFDRDTLDMPAKQIALLEQVAAANQNVVVVLSNGSVITVAPWAKNAKGILESWLLG 482
              E FD   + +P  Q AL+E VA  N+N++VVL  G+ + + PW   A+ I+++W  G
Sbjct: 456 ---ERFDSPDMTLPFGQDALIEAVANENRNLIVVLQTGNPVAM-PWRDKARAIVQAWFPG 511

Query: 483 QSGGPALADVIFGQVSPSGKLAQSIPLDINDDPSMLNWPGEEGH------VDYGEGVFAG 536
           Q G  A+A+V+ G+++PSG+L  S P D+   P     PG +        V Y EG   G
Sbjct: 512 QLGAQAIAEVLTGKINPSGRLPISFPFDVGQTPHP-TLPGSDVELGTPIKVHYHEGAEVG 570

Query: 537 YRYYDTYGKAVDYPFGYGLSYATFEITGVAVAKTGANTATVTATVTNTSDVDAAETVQVY 596
           YR++   G+   + FG+GLSYATF    + V    A + TV  TVTNT      +  QVY
Sbjct: 571 YRWFAKTGRQPLFGFGHGLSYATFAYRDLEV--VDAESLTVAFTVTNTGARQGDDVPQVY 628

Query: 597 VVPGKADVARPKHELKGFTKAFLKAGESKTVAIDLDERAFAYWSEKYNDWHVEAGEYAIE 656
           +     D    +  L GF +  L+ GES  V I  D R  A +  +   W +EAG+Y I 
Sbjct: 629 LTDAAGDW---RMRLLGFERVSLRPGESARVRITADPRLLACFQSELGCWRMEAGQYRIA 685

Query: 657 VGVSSRDIADTVAVALD 673
           +G S++D+  ++ + L+
Sbjct: 686 LGRSAQDLELSIELCLE 702


Lambda     K      H
   0.315    0.132    0.393 

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: 1172
Number of extensions: 54
Number of successful extensions: 9
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: 757
Length of database: 708
Length adjustment: 40
Effective length of query: 717
Effective length of database: 668
Effective search space:   478956
Effective search space used:   478956
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: 42 (22.0 bits)
S2: 55 (25.8 bits)

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

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Protein sequences (fasta format)
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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:

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