Alignments for a candidate for liuB in Azospirillum brasilense Sp245

GapMind for catabolism of small carbon sources

Alignments for a candidate for liuB in Azospirillum brasilense Sp245

Align methylcrotonoyl-CoA carboxylase (subunit 2/2) (EC 6.4.1.4) (characterized)
to candidate AZOBR_RS22285 AZOBR_RS22285 3-methylcrotonyl-CoA carboxylase subunit alpha

Query= BRENDA::Q9I299
         (655 letters)



>FitnessBrowser__azobra:AZOBR_RS22285
          Length = 667

 Score =  690 bits (1781), Expect = 0.0
 Identities = 372/662 (56%), Positives = 455/662 (68%), Gaps = 22/662 (3%)

Query: 10  RLLVANRGEIACRVMRSARALGIGSVAVHSDIDRHARHVAEADIAVDLGGAKPADSYLRG 69
           ++L+ANRGEIACRV+R+AR +GI +VAV+S+ D  A HV  AD AV +G A   +SYLRG
Sbjct: 4   KILIANRGEIACRVIRTARRMGIRTVAVYSEADARAMHVEMADEAVCIGPAPVGESYLRG 63

Query: 70  DRIIAAALASGAQAIHPGYGFLSENADFARACEEAGLLFLGPPAAAIDAMGSKSAAKALM 129
           D I+  A  +GAQAIHPGYGFLSENA FA AC EAG++F+GPP  AI  MGSK+ +K +M
Sbjct: 64  DAILEVAKRTGAQAIHPGYGFLSENAGFAAACAEAGVVFIGPPIEAIRVMGSKAESKRVM 123

Query: 130 EEAGVPLVPGYHGEAQDLETFRREAGRIGYPVLLKAAAGGGGKGMKVVEREAELAEALSS 189
            +A VPLVPG+HGEAQDLET   EA RIGYPVL+KA+AGGGGKGM+VV    E A+A++ 
Sbjct: 124 SQADVPLVPGFHGEAQDLETLSAEAERIGYPVLVKASAGGGGKGMRVVRAAGEFADAVAG 183

Query: 190 AQREAKAAFGDARMLVEKYLLKPRHVEIQVFADRHGHCLYLNERDCSIQRRHQKVVEEAP 249
           A+REAKAAFGD  +L+EKYL +PRHVEIQVF D HG+ +YL ERDCSIQRRHQKV+EEAP
Sbjct: 184 AKREAKAAFGDDSVLLEKYLGRPRHVEIQVFCDTHGNGVYLFERDCSIQRRHQKVIEEAP 243

Query: 250 APGLGAELRRAMGEAAVRAAQAIGYVGAGTVEFLLDERGQFFFMEMNTRLQVEHPVTEAI 309
           AP L  +LRR MGEAAV AA+A+ YVGAGTVEFL ++ G F+F+EMNTRLQVEHPVTE I
Sbjct: 244 APALPDDLRRRMGEAAVAAAKAVNYVGAGTVEFLYED-GGFYFIEMNTRLQVEHPVTEKI 302

Query: 310 TGLDLVAWQIRVARGEALPLTQEQVPLNGHAIEVRLYAEDPEGDFLPASGRLMLYREAAA 369
           TG DLV WQ+RVA G  LPL Q+Q+   GHA E RLYAEDP+ +FLPA G+L+  R  A 
Sbjct: 303 TGQDLVEWQLRVAAGGVLPLMQDQLTRRGHAFEARLYAEDPQREFLPAIGKLVRLRPPAE 362

Query: 370 GPGRRVDSGVREGDEVSPFYDPMLAKLIAWGETREEARQRLLAMLAETSVGGLRTNLAFL 429
               RVD+GVREGDEV+ FYDPM+AKLI W E R+ A +RL   LA   V G+ TN+AFL
Sbjct: 363 NEHVRVDTGVREGDEVTMFYDPMIAKLIVWDEDRDAALRRLRVALAAYEVVGVTTNVAFL 422

Query: 430 RRILGHPAFAAAELDTGFIARHQDDLLPAPQALPEHFWQAAAEAWL-----QSEPGHRRD 484
             I GHPAF A E+DTGFI RH+ DLLP P  +P+     AA + L      +    R  
Sbjct: 423 GAIAGHPAFRAVEIDTGFIERHRADLLPPPAPVPDRGLAIAALSVLLRRNADTRKARRAA 482

Query: 485 DDPHSPWSRNDGWRSALARESDLMLRCRDERRCVRLRHASPSQYR--------------- 529
            DP SPW    GWR       DL L   D  R + L H  P  Y                
Sbjct: 483 SDPWSPWLSASGWRLNDDNHHDLRLMDGDTPRALTL-HFRPDGYEIEVEGRPAIRAERVT 541

Query: 530 LDGDDLVSRVDGVTRRSAALRRGRQLFLEWEGELLAIEAVDPIAEAEAAHAHQGGLSAPM 589
           LDG+ L + +D V  R+  + +G  L +  +G +  +   DP A A       G L+APM
Sbjct: 542 LDGETLTATIDAVRTRATVVCQGLDLTILSDGAVWRLHLDDPTARAAEQEGGSGRLTAPM 601

Query: 590 NGSIVRVLVEPGQTVEAGATLVVLEAMKMEHSIRAPHAGVVKALYCSEGELVEEGTPLVE 649
            G++VRVLVEPGQTVEAGA L++LEAMKMEH+I+AP AG V A+  + G+ V EG  L+ 
Sbjct: 602 PGTVVRVLVEPGQTVEAGAPLMLLEAMKMEHTIKAPAAGTVSAVNFAAGDQVSEGVDLLV 661

Query: 650 LD 651
           LD
Sbjct: 662 LD 663


Lambda     K      H
   0.319    0.135    0.397 

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: 1109
Number of extensions: 44
Number of successful extensions: 4
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: 655
Length of database: 667
Length adjustment: 38
Effective length of query: 617
Effective length of database: 629
Effective search space:   388093
Effective search space used:   388093
Neighboring words threshold: 11
Window for multiple hits: 40
X1: 16 ( 7.4 bits)
X2: 38 (14.6 bits)
X3: 64 (24.7 bits)
S1: 41 (21.8 bits)
S2: 54 (25.4 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)
Organisms (tab-delimited)
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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