Alignments for a candidate for prpE in Azospirillum thiophilum BV-S

GapMind for catabolism of small carbon sources

Alignments for a candidate for prpE in Azospirillum thiophilum BV-S

Align Propionate--CoA ligase (EC 6.2.1.17) (characterized)
to candidate WP_045580756.1 AL072_RS08155 propionyl-CoA synthetase

Query= reanno::Phaeo:GFF1175
         (629 letters)



>NCBI__GCF_001305595.1:WP_045580756.1
          Length = 645

 Score =  875 bits (2262), Expect = 0.0
 Identities = 418/627 (66%), Positives = 491/627 (78%)

Query: 3   YSEVYEGWKANPEQFWMEAAEAISWDSAPTKALTDKGDGLYEWFADARVNTCYNAVDRHV 62
           Y  ++    ++PE FW EAA+ ISW     K L D     Y WF    +NTCYNAVDRHV
Sbjct: 13  YDRMHARSLSDPEGFWGEAAKDISWYKPWDKVLDDSNAPFYRWFTGGELNTCYNAVDRHV 72

Query: 63  EQGRGEQTAIIYDSPITHTKREISYVELRNRVATLAGALRAKGVEKGDRVIIYMPMIPEA 122
           E GRG Q AIIYDSP+T T + I+Y EL ++VA  AG LRA+GVEKGDRV++YMPMIP++
Sbjct: 73  EDGRGAQPAIIYDSPVTQTVQTITYAELLDQVARFAGVLRAQGVEKGDRVLLYMPMIPQS 132

Query: 123 LEAMLACARLGAVHSVVFGGFAANELAVRIDDATPKAIIAASCGLEPGRTVHYKPLLDGA 182
           + AMLACARLGAVHSVVFGGFA +ELA RIDDA PKAI++ASCG+EP R V YKP+LD A
Sbjct: 133 VVAMLACARLGAVHSVVFGGFAPHELATRIDDAKPKAIVSASCGIEPNRIVKYKPMLDSA 192

Query: 183 IDLATHKPDFCVIFQREQEVAELIEGRDVNWHGFQYGVEPAECVPVEGNHPAYILYTSGT 242
           I+ + HKP   +++QR QE A LI GRDV+W       EPA CVPV+   P YILYTSGT
Sbjct: 193 IEQSVHKPGSVIVWQRPQETATLIAGRDVDWAEASAAAEPAGCVPVKATDPLYILYTSGT 252

Query: 243 TGQPKGVIRHTAGQLVALNWTMKNIYNVDPGDVFWAASDVGWVVGHSYICYGPLIHGNTT 302
           TGQPKGV+R   G  VAL WTM NIYNV PG+V+WAASDVGWVVGHSYI Y PL+ G TT
Sbjct: 253 TGQPKGVVRDNGGHAVALRWTMTNIYNVKPGEVYWAASDVGWVVGHSYIVYAPLLTGCTT 312

Query: 303 IVFEGKPIGTPDAGTFWRVISEHKVKSFFTAPTAFRAVKREDPKGEFVKKYDLSCLKQVY 362
           +VFEGKP+GTPD GTFWRVI +HKV + FTAPTAFRA+KREDP    +KKYDLS  + ++
Sbjct: 313 VVFEGKPVGTPDPGTFWRVIEQHKVGTLFTAPTAFRAIKREDPDANHLKKYDLSHFRALF 372

Query: 363 LAGERADPDTITWAQEQLKVPVIDHWWQTETGWSIAANPLGIEELPTKLGSPAVPMPGYT 422
           LAGER+DPDT+ WA++ LKVPVIDHWWQTETGW+I+ NPLG+   P K GS   PMPG+ 
Sbjct: 373 LAGERSDPDTLHWAEDNLKVPVIDHWWQTETGWAISGNPLGVHLFPIKYGSATRPMPGWD 432

Query: 423 VDILDEGGHPVAPGELGAIAVKLPLPPGTLPTLWNAEDRFKKSYLTTFPGYYETGDAGMK 482
           V +L+     V  G++GAI VKLPLPPGTLPTLWNA++RFKKSYL  +PGYY+TGDAG  
Sbjct: 433 VRVLNAELKEVPRGDIGAICVKLPLPPGTLPTLWNADERFKKSYLADYPGYYQTGDAGFV 492

Query: 483 DEDGYLYIMARTDDVINVAGHRLSTGAMEEVLAGHPDVAECAVIGVSDSLKGQAPVGFLC 542
           D+DGY+Y+MARTDD+INVAGHRLSTGAMEEVL+ H DVAECAVIGV+D LKGQ P+GF+C
Sbjct: 493 DDDGYVYVMARTDDIINVAGHRLSTGAMEEVLSSHKDVAECAVIGVADDLKGQVPLGFVC 552

Query: 543 LNAGCDTPHEDVVAQVVKLVREKIGPVAAFKLACVVDRLPKTRSGKILRGTMVNIADGTD 602
           L AG   PHE++V +VV+LVR +IGPVA FK A VVDRLPKTRSGKILRGTM  IAD  D
Sbjct: 553 LKAGVTRPHEEIVKEVVQLVRAQIGPVADFKRALVVDRLPKTRSGKILRGTMQKIADCQD 612

Query: 603 WKMPATIDDPAILDEITTALQGLGYAK 629
           +KMPATIDDP IL EI  AL+ LGYAK
Sbjct: 613 YKMPATIDDPGILPEIADALKTLGYAK 639


Lambda     K      H
   0.318    0.137    0.428 

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: 1469
Number of extensions: 57
Number of successful extensions: 1
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: 629
Length of database: 645
Length adjustment: 38
Effective length of query: 591
Effective length of database: 607
Effective search space:   358737
Effective search space used:   358737
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: 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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Candidates (tab-delimited)
Steps (tab-delimited)
Rules (tab-delimited)
Protein sequences (fasta format)
Organisms (tab-delimited)
SQLite3 databases

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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