Alignments for a candidate for treEIIA in Maridesulfovibrio zosterae DSM 11974

GapMind for catabolism of small carbon sources

Alignments for a candidate for treEIIA in Maridesulfovibrio zosterae DSM 11974

Align D-trehalose PTS system, I, HPr, and IIA components (characterized)
to candidate WP_027722883.1 H589_RS0115585 phosphoenolpyruvate--protein phosphotransferase

Query= reanno::WCS417:GFF4500
         (838 letters)



>NCBI__GCF_000425265.1:WP_027722883.1
          Length = 823

 Score =  481 bits (1237), Expect = e-140
 Identities = 273/658 (41%), Positives = 388/658 (58%), Gaps = 13/658 (1%)

Query: 172 LTLPNANGLHARPAAVFAQAAKGFNASIYLHKQTQSANAKSLVAIMALQTVQGDTLQVSA 231
           +T+   +GLHARPA  F   AK +++ I +    +S N KSL +++ L    G T+++ A
Sbjct: 164 VTIMGEHGLHARPATFFVDIAKKYDSEIQVEFDGRSGNGKSLASLLKLGISGGKTMRIHA 223

Query: 232 AGEDAEAAIKALVALLAEGCGE-----AVVNVAEPVATQSSATLLRGVCASPGSAFGQVV 286
            G+DA  A+  L   + EG GE     A+  +      Q     + G  ASPG A G V 
Sbjct: 224 KGDDASLALATLKEAVDEGLGEESEEAAIPRIEHGWRPQDVKQTIPGCTASPGLATGPVH 283

Query: 287 QVTDPELVITEQGTGGATERAALTRGLLAANEALQVLQDKA---AGSAQAEIFRAHQELL 343
           Q T   +V+         E + L   + AA   L+ L ++    +G  +A IFRAH+  L
Sbjct: 284 QYTHSRIVVEAIAKDPKHESSELAHAIAAARLNLRHLYNEVRAKSGEPRAAIFRAHEAFL 343

Query: 344 EDPTLLEHAHRLLGEGKSAAFAWNSATLATVTLFQGLGNALIAERAADLADVGQRVLKLI 403
           +DP +L     L+  GKSA +AW       V + +   + L+A RA DL DVG+RVL+ +
Sbjct: 344 DDPEILVETEALIRNGKSAGYAWRQVIDDRVHILEQHDDELLAARAMDLRDVGRRVLRHL 403

Query: 404 LGI-QDSAWDLPERAILIAEQLTPSQTASLDTRKVLGFVTVAGGATSHVAILARALGLPA 462
            G+ QD  +      IL+AE LTPS TA LD   +LGF T  GG TSH AI+AR+LG+PA
Sbjct: 404 AGVVQDQPFTPSRPVILLAEDLTPSDTAQLDPSLILGFCTSGGGPTSHSAIIARSLGIPA 463

Query: 463 ICGVPAQVLALANGKQVLLDADKGELHLEPNLAEIEQLEAARKH-QVLRHQRDVAQASLP 521
           I      +L + +    ++D D G L+LEP+ ++IE  +AA+   + LR++   A+   P
Sbjct: 464 IVAAGPSILEIVDDTIAIIDGDSGNLYLEPSPSDIETADAAKLELEELRNEEYRARYE-P 522

Query: 522 ATTRDGHHVEVTANVASLQEVEHALTLGGEGVGLLRSEFLYLDRNRAPSPEEQAGTYTAI 581
           A T DG  +EV AN+  + E E+A+  GGEGVGL+R+EFL+L+R+  P  EEQ  +Y  +
Sbjct: 523 ALTTDGERIEVVANIGRVSEAENAVNAGGEGVGLMRTEFLFLERDTPPDEEEQFQSYKTM 582

Query: 582 ARALGTERNLVVRTLDVGGDKPLAYVPMDAETNPFLGLRGIRLCLERPQLLREQFRAILA 641
             AL     +++RTLD+GGDK +AY+ +  E NPFLG RGIRLCL RP+    Q RAI  
Sbjct: 583 VEALNG-LPIIIRTLDIGGDKAVAYLDLPPEDNPFLGERGIRLCLNRPEFFLVQLRAIFR 641

Query: 642 SAGFARLHIMLPMVSLLSELHLARKILEEEALALGLTELPKLGIMIEVPSAALMADVFAP 701
           ++ +  + IM PM++ L EL  A+++ E+  + +G   L ++GIM+EVPS   MA  FA 
Sbjct: 642 ASKYGPIRIMFPMIATLDELEAAKRLAEKARIEVGAEAL-EIGIMVEVPSVVSMAREFAQ 700

Query: 702 HVDFFSIGTNDLTQYTLAMDRDHPRLANQADSFHPAVLRLIATTVKAAHAHGKWVGVCGA 761
            VDFFSIGTNDLTQY +A+DR HP LA +ADS HPAVLR+I   VKA+   G W GVCG 
Sbjct: 701 VVDFFSIGTNDLTQYVMAIDRVHPTLAAKADSLHPAVLRMIDQVVKASDEAGIWTGVCGG 760

Query: 762 LASEALAVPVLIGLGVDELSVSVPLIPTIKATVRELDLADCQIIARQVLGLEEAAEVR 819
           LA E L   +L GLGV ELS+ VP I  +KA +R + +   + +A++ L   +  +VR
Sbjct: 761 LAGEPLGATILAGLGVKELSMVVPSIAAVKARIRSISMKQARELAQKALSCRDNKQVR 818


Lambda     K      H
   0.318    0.133    0.371 

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: 1341
Number of extensions: 58
Number of successful extensions: 6
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: 838
Length of database: 823
Length adjustment: 42
Effective length of query: 796
Effective length of database: 781
Effective search space:   621676
Effective search space used:   621676
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: 56 (26.2 bits)

This GapMind analysis is from Apr 09 2024. The underlying query database was built on Sep 17 2021.

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Steps (tab-delimited)
Rules (tab-delimited)
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