Alignments for a candidate for ectP in Marinobacter adhaerens HP15

GapMind for catabolism of small carbon sources

Alignments for a candidate for ectP in Marinobacter adhaerens HP15

Align Glycine betaine/proline/choline/ectoine transporter VP1456 (characterized)
to candidate GFF2851 HP15_2795 transporter, BCCT family protein

Query= SwissProt::Q87PP5
         (562 letters)



>FitnessBrowser__Marino:GFF2851
          Length = 531

 Score =  634 bits (1634), Expect = 0.0
 Identities = 305/511 (59%), Positives = 397/511 (77%), Gaps = 3/511 (0%)

Query: 49  TDYQVGQDNVQKWGFDIHNPVFGISAGLVVFCLISLLLVEPVTARDALNGIKNGIIEQFD 108
           TDY  GQDN++K+GFDIHN VF ++A L+V  ++  L+  P  A++ L+  KNG I  FD
Sbjct: 11  TDYVAGQDNIEKFGFDIHNIVFPLTAILIVAFVVGTLIF-PAGAKELLDSAKNGAIAVFD 69

Query: 109 AFFMWSTNFFLLFAVGLLFSPLGKIRLGGKEATPDHSTVSWLSMLFAAGMGIGLLFWSVA 168
             F+ S N F++F + L+F P+GKIR+GG +A P+ S +SW +MLFAAGMG GL+FWSVA
Sbjct: 70  WGFLLSANLFVVFCLALIFMPVGKIRIGGLDAKPEFSLLSWFAMLFAAGMGTGLMFWSVA 129

Query: 169 EPTAYFTDWWGTPLNAEAYSADAKSLAMGATMFHWGVHGWSIYALVALALAFFAFNKGLP 228
           EP AY+TDW+GTPL  E  +A+   LAMGATM+HWG+H W+IYA+V L+L+FFAFNKGLP
Sbjct: 130 EPVAYYTDWYGTPLGVEPNTAEGARLAMGATMYHWGLHPWAIYAIVGLSLSFFAFNKGLP 189

Query: 229 LSLRAAFYPIFGDRAWGWLGHVIDILAVLSTLFGLATSLGLGAQQATSGINHVFGLNGGI 288
           L++R+AF+PI GD+ WGW G+VID ++VL+T+FGLATSLG GAQQA SGI+++F + GG+
Sbjct: 190 LTIRSAFFPILGDKVWGWPGNVIDTVSVLATIFGLATSLGFGAQQAASGISYLFDIEGGL 249

Query: 289 GTQMVVIAFVTFIAVLSVVRGIDGGVKLLSNVNMIVAFALLIFITFITFDTAMGS-LVDT 347
             Q+ VIA VT +A LSV+RGI GGV++LSN NMI+A  LL+F+ F     A+   L DT
Sbjct: 250 NIQVGVIAGVTAVATLSVIRGIHGGVRILSNANMIMAGLLLLFVIFAGPTLAVFQWLWDT 309

Query: 348 TMAYIQNIIPLSNPHGR-EDETWMHGWTVFYWAWWVSWSPFVGMFIARVSKGRTVREFLF 406
           +++Y  N+  LSNP GR ED TW HGWTVFYWAWW+SWSPFVGMFIARVS GRTVREF+ 
Sbjct: 310 SVSYASNMFSLSNPFGREEDTTWFHGWTVFYWAWWISWSPFVGMFIARVSHGRTVREFVT 369

Query: 407 AVIVIPTLVTLVWMSVFGGIALDQVVNKVGELGANGLTDISLTLFHVYDVLPYSSVISIL 466
           AV++IPT++TL WMS FGG AL+QV N++G LG+ GLT++SL +F + + +  S + S +
Sbjct: 370 AVLIIPTIITLFWMSAFGGGALNQVQNEIGVLGSEGLTEVSLAMFQMLENISLSGITSFI 429

Query: 467 SIVLILVFFITSSDSGSLVIDSITAGGKIDAPVPQRIFWACIEGSIAAVMLWVGGKEALQ 526
            I L+L FF+TSSDSGSLVIDSIT+GGK DAP  QRIFWA  EG+IA V+L+VGG++AL 
Sbjct: 430 GITLVLTFFVTSSDSGSLVIDSITSGGKTDAPKAQRIFWAVTEGTIAGVLLFVGGEQALN 489

Query: 527 ALQSGVVATGLPFTFVLLLMCVSLVKGLRTE 557
           ALQ+G ++ GLPFT VLL+M  SL KGL  E
Sbjct: 490 ALQAGALSVGLPFTLVLLVMTYSLFKGLHHE 520


Lambda     K      H
   0.327    0.141    0.445 

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: 1040
Number of extensions: 56
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: 562
Length of database: 531
Length adjustment: 36
Effective length of query: 526
Effective length of database: 495
Effective search space:   260370
Effective search space used:   260370
Neighboring words threshold: 11
Window for multiple hits: 40
X1: 15 ( 7.1 bits)
X2: 38 (14.6 bits)
X3: 64 (24.7 bits)
S1: 40 (21.7 bits)
S2: 52 (24.6 bits)

This GapMind analysis is from Sep 17 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