Alignments for a candidate for liuB in Rhodomicrobium vannielii ATCC 17100

GapMind for catabolism of small carbon sources

Alignments for a candidate for liuB in Rhodomicrobium vannielii ATCC 17100

Align Methylcrotonoyl-CoA carboxylase (EC 6.4.1.4) (characterized)
to candidate WP_013420985.1 RVAN_RS17280 biotin carboxylase N-terminal domain-containing protein

Query= reanno::Smeli:SM_b21124
         (662 letters)



>NCBI__GCF_000166055.1:WP_013420985.1
          Length = 663

 Score =  527 bits (1357), Expect = e-154
 Identities = 307/671 (45%), Positives = 393/671 (58%), Gaps = 29/671 (4%)

Query: 2   FSKLLIANRGEIACRIIRTARRLGIRTVAVYSDADGDALHVALADEAIRIGGAPAAESYL 61
           F KLLIANRGEIACRI+RTAR +G RTVAV+SDAD DA+H   ADEA+RIG +P  ESYL
Sbjct: 6   FRKLLIANRGEIACRIVRTARAMGYRTVAVFSDADADAMHTRAADEAVRIGPSPPRESYL 65

Query: 62  ASAPIVQAARSVGAQAIHPGYGFLSENADFAEAVAEAGMIFVGPPPAAIRAMGLKDAAKA 121
             A I+ AA+  GA AIHPGYGFL+ENADFAEA   AG++FVGPP   IRAMG K AAKA
Sbjct: 66  DIARILDAAKKTGADAIHPGYGFLAENADFAEACEAAGLVFVGPPARVIRAMGDKAAAKA 125

Query: 122 LMERSGVPVVPGYHGEEQDASFLADRAREIGYPVLIKARAGGGGKGMRRVERQEDFGPAL 181
           + E +G+P VPGY GE+Q  + L   A  IG+P+L+KA AGGGG+G+R V    +   AL
Sbjct: 126 IAEAAGLPCVPGYRGEDQADARLTAEAAAIGFPLLVKAVAGGGGRGIRAVHAAAELPDAL 185

Query: 182 EAARREAESAFGDGSVLLERYLTKPRHIEMQVFGDRHGNIVHLFERDCSLQRRHQKVIEE 241
            AA+REA++AFGD  ++LER + +PRH+E+Q+FGD HGN+VHLFERDCS QRR QK+IEE
Sbjct: 186 AAAQREAKAAFGDDRLMLERLIERPRHLEVQIFGDDHGNVVHLFERDCSTQRRRQKIIEE 245

Query: 242 APAPGMTAEVRRAMGDAAVRAAQAIGYVGAGTVEFIADVTNGLWPDHFYFMEMNTRLQVE 301
           AP+P +T   R  +   AV  AQA GY  AGTVEFIAD         FYF+EMNTRLQVE
Sbjct: 246 APSPVLTPAHRERLTGYAVALAQAAGYRNAGTVEFIADADL-----TFYFLEMNTRLQVE 300

Query: 302 HPVTEAITGIDLVEWQLRVASGEPLPKKQADISMNGWAFEARLYAEDPARGFLPATGRLT 361
           HPVTE + G+DLV+WQLRVA+GEPLP +Q +I+M G A EARL AEDP  GF P  G + 
Sbjct: 301 HPVTEMVVGVDLVDWQLRVAAGEPLPLRQDEIAMRGHAIEARLCAEDPYDGFRPQAGTVI 360

Query: 362 ELSFPE-GTSRVDSGVRQGDTITPYYDPLIAKLIVHGQNRSAALGRLQDALKECRIGGTV 420
             +  E G  R D+GV  G  ++P+YD ++AK I  G++R  A  RL  AL++  + G  
Sbjct: 361 HFAPQERGGIRFDTGVETGSEVSPWYDSMVAKAIAGGRDRLEATRRLASALEDAPLLGLA 420

Query: 421 TNRDFLIRLTEEHDFRSGHPDTGLIDREIERLTAPVA---------PGDEALALAAIFST 471
           TNR+FL+ L     F      T  +D   +      A         P D ALA A     
Sbjct: 421 TNREFLVALLRGEAFDRAEIATTTLDDWAQTAAHDAASPFARPRPSPTDWALAAAL---- 476

Query: 472 GALDPNRSTDPWSSLGSWQIWGDAHRMVV-IEHADVRATVTLASRGRDQFAVRAGASTLP 530
                  S +     G W   G A    + +        +T   R     AV      + 
Sbjct: 477 -------SAERGGGAGEWFWSGSAFDFSLDLTCGGETKRLTYTRRRSGPLAVAVDGERIE 529

Query: 531 VLVLDRFEGGARLEVAGQKRLIRFSRDREALTLFHGGRNLVFHVPDGLTGGQSSEIADDE 590
           + +++        E  G +R    +     L L        F  PD      +++ A   
Sbjct: 530 IALIENAPPRIVFEADGVRRRAAAAWQGATLHLAVDDAAFAFAEPDHAHADDAADGA--R 587

Query: 591 LVAPMPGLVKLVRVGAGDAVTKGQALVVMEAMKMELTLSASREGTIANVHVAEGAQVSEG 650
           + AP+ GL+  V    G AV  G  L ++EAMKME  ++A   G IA VH   GAQV+ G
Sbjct: 588 IAAPVAGLLVKVLAEPGQAVAAGDTLAIIEAMKMETRVTALASGRIAAVHATAGAQVASG 647

Query: 651 TVLVTLMEEAA 661
            +L  +  E A
Sbjct: 648 ALLFEIETEDA 658


Lambda     K      H
   0.319    0.135    0.394 

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: 1205
Number of extensions: 55
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: 662
Length of database: 663
Length adjustment: 38
Effective length of query: 624
Effective length of database: 625
Effective search space:   390000
Effective search space used:   390000
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 Apr 09 2024. 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 2024 update 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