Aligments for a candidate for lacZ in Herbaspirillum seropedicae SmR1

GapMind for catabolism of small carbon sources

Aligments for a candidate for lacZ in Herbaspirillum seropedicae SmR1

Align Exo-alpha-(1->6)-L-arabinopyranosidase; APY; Beta-D-galactopyranosidase; EC 3.2.1.- (characterized)
to candidate HSERO_RS23930 HSERO_RS23930 beta-D-glucoside glucohydrolase

Query= SwissProt::E7CY69
         (757 letters)



>FitnessBrowser__HerbieS:HSERO_RS23930
          Length = 784

 Score =  252 bits (643), Expect = 6e-71
 Identities = 198/659 (30%), Positives = 308/659 (46%), Gaps = 78/659 (11%)

Query: 69  TCFPPAAGLSSSWNPELIHKVGEAMAEECIQEKVAVILGPGVNIKRNPLGGRCFEYWSED 128
           T FP   GL+SSW+ +++ +     AEE   + + +   P V+I R+P  GR  E + ED
Sbjct: 133 TTFPIGLGLASSWDMDVVARAMRVSAEEAAADSIDMTFAPMVDISRDPRWGRTSEGFGED 192

Query: 129 PYLAGHEAIGIVEGVQ-------SKGVGTSLKHFAANNQ-ETDRLRVDARISPRALREIY 180
           PYL    A   V  +Q       +  V  S+KHFA     E  R      + P+ +   Y
Sbjct: 193 PYLVSRIAEVSVRALQGDTKPIAANRVMASVKHFALYGAVEGGRDYNVVNMDPQRMYNDY 252

Query: 181 FPAFEHIVKKAQPWTIMCSYNRINGVHSAQNHWLLTDVLRDEWGFDGIVMSDWGA----- 235
            P +   +  A    +M + N ING  +  N WLL D+LR +WGF G+ +SD GA     
Sbjct: 253 LPPYRAAID-AGAGAVMVALNSINGAPATSNTWLLQDLLRRDWGFKGLTVSDHGAITELV 311

Query: 236 -----DHDRGA---SLNAGLNLEMPPSYTDDQIVYAVRDGLITPAQLDRMAQGMI----D 283
                 +D  A   S+ AG ++ M       Q+   VR G ++  +LD   + ++    D
Sbjct: 312 NHGVAQNDSEAARLSMKAGTDMSMADQVYIKQLPELVRSGKVSQQELDNAVRDILGAKYD 371

Query: 284 L-------VNKTRAAMSIDNYRFDVDAHDEVAHQAAIESIVMLKNDDAILPLNAGPVANP 336
           L       V   RAA    +   D   H   A + A +S+V+L+N +A LPL        
Sbjct: 372 LGLFKDPYVRIGRAADDPPDVYADSRLHRRDAREVAQQSMVLLENRNAALPLKKNA---- 427

Query: 337 SATPQKIAVIGEFARTP-----RYQGGGSSHITPTKMTSFLDTLAERGIKADFAPGFTLD 391
                +IA++G  A +       +   G    T T        L  +G K  +A G  + 
Sbjct: 428 -----RIALVGPLADSHIDMLGSWSAAGKDKQTITLRQGLQAALGGQG-KLVYARGANIT 481

Query: 392 -----------LEPADP----------ALESEAVETAKNADVVLMFLGLPEAVESEGFDR 430
                      L   DP          A+  EAV+ A++ADV++  +G    +  E   R
Sbjct: 482 EDKHIVDYLNFLNWDDPEVVQDKRSPKAMIDEAVKAARHADVIVAAVGESRGMSHESSSR 541

Query: 431 DTLDMPAKQIALLEQVAAANQNVVVVLSNGSVITVAPWAKNAKGILESWLLGQSGGPALA 490
            +L +P  Q+ LL+ + A  + +V+VL NG  + +    +NA  ILE+W  G  GG A+A
Sbjct: 542 TSLSLPQSQLDLLKALKATGKPLVLVLMNGRPLDLNWARENASAILETWYTGTEGGNAIA 601

Query: 491 DVIFGQVSPSGKLAQSIPLDINDDPSMLNWPGEEGHVDYGEGVFAGY--RYYDTYGKAVD 548
           D++FG V+PSGKL  + P  +   PS  N P   G   Y EG    Y  +Y+D     + 
Sbjct: 602 DILFGDVNPSGKLPITFPRSVGQIPSYYNHP-RVGR-PYTEGKPGNYTSQYFDEPNGPL- 658

Query: 549 YPFGYGLSYATFEITGVAVAKTGANT---ATVTATVTNTSDVDAAETVQVYVVPGKADVA 605
           YPFGYGLSY  F+++ V++++   +       + TV N      A  VQ+Y+    A V 
Sbjct: 659 YPFGYGLSYTEFKLSEVSLSQPSMSADGKVEASVTVKNVGRRAGATVVQLYLRDVAASVV 718

Query: 606 RPKHELKGFTKAFLKAGESKTVAIDLDERAFAYWSEKYNDWHVEAGEYAIEVGVSSRDI 664
           RP  ELK F K  L+ GE K V   +D +A ++++ K  ++  E GE+ +++G+ S+++
Sbjct: 719 RPVKELKDFRKVMLQPGEEKQVQFSIDRKALSFYNAKL-EYVAEPGEFQVQIGLDSKEV 776


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: 1312
Number of extensions: 59
Number of successful extensions: 8
Number of sequences better than 1.0e-02: 1
Number of HSP's gapped: 2
Number of HSP's successfully gapped: 2
Length of query: 757
Length of database: 784
Length adjustment: 41
Effective length of query: 716
Effective length of database: 743
Effective search space:   531988
Effective search space used:   531988
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, 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

GapMind for catabolism of small carbon sources