Alignments for a candidate for pccA in Azoarcus sp. BH72

GapMind for catabolism of small carbon sources

Alignments for a candidate for pccA in Azoarcus sp. BH72

Align Propionyl-CoA carboxylase biotin-containing subunit (EC 6.4.1.3) (characterized)
to candidate WP_011766793.1 AZO_RS15410 acetyl/propionyl/methylcrotonyl-CoA carboxylase subunit alpha

Query= reanno::PS:Dsui_0516
         (663 letters)



>NCBI__GCF_000061505.1:WP_011766793.1
          Length = 666

 Score =  540 bits (1392), Expect = e-158
 Identities = 329/674 (48%), Positives = 414/674 (61%), Gaps = 22/674 (3%)

Query: 1   MFKKILIANRGEIACRVIKTARKMGIKTVAVYSEADKDALFVEMADEAVCIGPAASKESY 60
           MF KILIANRGEIACRVIKTAR+MGIKTVAVYSEAD +A  V +ADEAV IGPAA++ESY
Sbjct: 1   MFNKILIANRGEIACRVIKTARRMGIKTVAVYSEADANARHVRLADEAVLIGPAAARESY 60

Query: 61  LVADKIIAACKQTGAEAVHPGYGFLSENAEFSRRLEEEGIKFIGPKHYSIAKMGDKIESK 120
           LV D+IIAA K TGA+A+HPGYGFLSEN +F    E EGI FIGP   +I  MG K E+K
Sbjct: 61  LVIDRIIAAAKATGAQAIHPGYGFLSENEDFCEACEREGIVFIGPPVSAIRAMGSKSEAK 120

Query: 121 KLAIEAKVNTIPGYNDAIDGPDAAVEIAKKIGYPVMIKASAGGGGKGLRVAYNDAEAHEG 180
           KL   A+V   PGY+     P      A  IGYPV+IKA+AGGGGKG+R+     +  + 
Sbjct: 121 KLMEAARVPLTPGYHGDNQEPAFLHRQADGIGYPVLIKAAAGGGGKGMRLVEKSEDFIDA 180

Query: 181 FSSCVNEARNSFGDDRVFIEKYVLEPRHIEIQVLGDSHGNYVYLNERDCSIQRRHQKVIE 240
            +SC  EA +SFGDD V +EKY+  PRHIEIQV GDSHGN VYL ERDCS+QRRHQKV+E
Sbjct: 181 LASCKREAISSFGDDHVLVEKYITRPRHIEIQVFGDSHGNCVYLFERDCSVQRRHQKVLE 240

Query: 241 EAPSPFVDPEMRKAMGEQAVALARAVNYESAGTVEFVVSGATKEFYFLEMNTRLQVEHPV 300
           EAP+P +  E R AMG+ AV  ARAV Y  AGTVEF+ +     FYF+EMNTRLQVEHPV
Sbjct: 241 EAPAPGMTAERRAAMGKAAVEAARAVGYVGAGTVEFIAN-QDGSFYFMEMNTRLQVEHPV 299

Query: 301 TELITGLDLVEQMIRVAYGEKLPLTQADVQINGWAMECRINAEDPFRGFLPSTGRLVKFQ 360
           TE+ITGLDLVE  +RVA GEKLPL Q  +QI G A+E RI AEDP +GFLPSTG+LV   
Sbjct: 300 TEMITGLDLVEWQLRVASGEKLPLAQEQLQIRGHALEARIYAEDPAKGFLPSTGKLVHLA 359

Query: 361 PPAEVDGQVRVDTGVYDGGEISMYYDSMIAKLIVHGASREQAIARMRDALNGFVIRGISS 420
           PPAE    VRVDTGV +G EIS +YD MIAKLIV   +R++A+ARM  AL  + + G+++
Sbjct: 360 PPAE-GLHVRVDTGVEEGDEISPHYDPMIAKLIVWDINRDRALARMLQALADYRVVGVAN 418

Query: 421 NIPFQAALMQHARFQSGIFDTGFIAKEYPKGFDASMVPHDD--PALLIGVAAFVH----R 474
           NI F + L     F +   DTG I +E      A + P  D  PA +  VAA       R
Sbjct: 419 NIEFLSRLTACPAFATADLDTGLIERER-----AYLFPEGDAIPAEVWRVAALAELLRDR 473

Query: 475 RYIDRAAQVSGQLPGHERKVGDEWVVIRNGERHPVV-AKPIEGGYLVTYNGEKYELLSDW 533
           RY +  AQ  G+ P       D W +  +  R+ V  A   +    V+Y    + L  D 
Sbjct: 474 RYGEEKAQ-RGRDPLSPWHARDGWRMNASARRNLVFRAGEAQQTVSVSYRANGFALTVDG 532

Query: 534 RQGQSLFNGTCNGEEFT-LQVERHRMTYQLFHWGTRADMMVMSARAAELLALMPEKAAPD 592
               +   G  N      +  +  RM   +   G +  +  +  R+ +L ++ P   A +
Sbjct: 533 NTVSA--RGELNPRGLLHVDFDGARMDATVIAAGEKRHIF-LHGRSWQLASVDPLHHAGE 589

Query: 593 ---LSKFLLSPMPGLLREVSVAVGQEVKAGEKLAVIEAMKMENILKAEQDCKVKKISVTA 649
                  LL+PMPG +  +    G +V+ G  L ++EAMKME+ + A     VK      
Sbjct: 590 GGGAEGGLLAPMPGKVIALLAEAGAKVEKGAPLLILEAMKMEHTITAPATGTVKGFRFAV 649

Query: 650 GSSLSVDEIIIEFE 663
           G  +     ++EFE
Sbjct: 650 GDQVGDGAELVEFE 663


Lambda     K      H
   0.319    0.135    0.391 

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: 1112
Number of extensions: 43
Number of successful extensions: 4
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: 663
Length of database: 666
Length adjustment: 38
Effective length of query: 625
Effective length of database: 628
Effective search space:   392500
Effective search space used:   392500
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 (21.7 bits)
S2: 54 (25.4 bits)

This GapMind analysis is from Sep 24 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