Alignments for a candidate for serP in Pseudomonas fluorescens FW300-N2E2

GapMind for catabolism of small carbon sources

Alignments for a candidate for serP in Pseudomonas fluorescens FW300-N2E2

Align Serine transporter, SerP2 or YdgB, of 459 aas and 12 TMSs (Trip et al. 2013). Transports L-alanine (Km = 20 μM), D-alanine (Km = 38 μM), L-serine, D-serine (Km = 356 μM) and glycine (Noens and Lolkema 2015). The encoding gene is adjacent to the one encoding SerP1 (TC# 2.A.3.1.21) (characterized)
to candidate Pf6N2E2_5459 D-serine/D-alanine/glycine transporter

Query= TCDB::F2HQ24
         (457 letters)



>FitnessBrowser__pseudo6_N2E2:Pf6N2E2_5459
          Length = 473

 Score =  293 bits (750), Expect = 8e-84
 Identities = 169/458 (36%), Positives = 258/458 (56%), Gaps = 9/458 (1%)

Query: 5   QNEENKPSQRGLKNRHIQLIAIAGTIGTGLFLGAGKSIHLTGPSIIFVYLIIGALMYILL 64
           +  +  P +R L  RHI+L+A+   IG GLFLG+ K+I + GP+I+  Y+I G  + +++
Sbjct: 11  ETAQGGPLKRELGERHIRLMALGACIGVGLFLGSAKAIEMAGPAIMLSYIIGGLAILVIM 70

Query: 65  RAIGEMLYQDPNQHSFLNFVSRYLGEKPGYFIQWSYLLVVVFVAMAELIAIGTYINFWLP 124
           RA+GEM   +P   SF  +   YLG   G+   W+Y  + +   +AE+ A+  Y+  W P
Sbjct: 71  RALGEMAVHNPVAGSFSRYAQDYLGPLAGFLTGWNYWFLWLVTCVAEITAVAVYMGIWFP 130

Query: 125 DLPIWMTEVFVLVLLTLLNTLNPKFFGETEFWFGMIKIVAIIGLILTAIILIFSHYHTGT 184
           D+P W+  +  LV +  +N +  K FGE EFWF +IKIV II +++  + +I   +    
Sbjct: 131 DVPRWIWALAALVSMGSINLIAVKAFGEFEFWFALIKIVTIIAMVIGGVGIIAFGFGNDG 190

Query: 185 DTVSVTNITKGFEFFPNGLSNFFESFQMVMFAFVSMEFIGMTAAETDNPRPTLKKAINQI 244
             + ++N+     F PNG+     S QMVMFA++ +E IG+TA E  NP+ T+  AI  +
Sbjct: 191 VALGISNLWTHGGFMPNGVQGVLMSLQMVMFAYLGVEMIGLTAGEAKNPQKTIPNAIGSV 250

Query: 245 PIRIVLFYVGALLAIMSIYQWRDIPADKSPFVTIFQLIGIKWAAALVNFVVLTSAASALN 304
             RI+LFYVGAL  I+SIY W +I    SPFV  F+ +GIK AA ++NFVV+T+A S+ N
Sbjct: 251 FWRILLFYVGALFVILSIYPWNEIGTQGSPFVMTFERLGIKTAAGIINFVVITAALSSCN 310

Query: 305 SALFSITRNLYSLSKLNNDKILKPFTKFSKAGVPVNALLFTSLLILFTPFIS-MIPAISN 363
             +FS  R LYSL++  N +    F   S  GVP  ALL +   +L    ++ ++P    
Sbjct: 311 GGIFSTGRMLYSLAQ--NGQAPAGFATTSANGVPRRALLLSIAALLLGVLLNYLVP--EK 366

Query: 364 SFVFITSVATNLFLVVYLMTLITYLKYRKSSDFDPKGFVLPAAHIF---IPLAIAGFVLI 420
            FV++TS+AT   +  ++M L+  LK+RKS     +  +     ++     LA+A  VL+
Sbjct: 367 VFVWVTSIATFGAIWTWVMILLAQLKFRKSLSASERAALKYRMWLYPVSSYLALAFLVLV 426

Query: 421 FISLFCFKDTIVPA-IGSVIWVLIFGLFTFFKKIKTAE 457
              +  F DT V   +G    VL+  LF  FK   T E
Sbjct: 427 VGLMAYFPDTRVALYVGPAFLVLLTVLFYVFKLQPTGE 464


Lambda     K      H
   0.330    0.144    0.431 

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: 545
Number of extensions: 28
Number of successful extensions: 2
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: 457
Length of database: 473
Length adjustment: 33
Effective length of query: 424
Effective length of database: 440
Effective search space:   186560
Effective search space used:   186560
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 (21.8 bits)
S2: 51 (24.3 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