Aligments for a candidate for pgmA in Shewanella sp. ANA-3

GapMind for catabolism of small carbon sources

Aligments for a candidate for pgmA in Shewanella sp. ANA-3

Align phosphoglucomutase (alpha-D-glucose-1,6-bisphosphate-dependent) (EC 5.4.2.2) (characterized)
to candidate 7024963 Shewana3_2134 phosphoglucomutase (RefSeq)

Query= BRENDA::A0A0H3NJ17
         (546 letters)



>FitnessBrowser__ANA3:7024963
          Length = 550

 Score =  650 bits (1678), Expect = 0.0
 Identities = 322/548 (58%), Positives = 407/548 (74%), Gaps = 5/548 (0%)

Query: 1   MAIHNRAGQPAQQSDLINVAQLTAQYYVLKPEAGNAEHAVKFGTSGHRGSAGRHSFNEPH 60
           MAIH RAGQ A Q+DL+N+ +L + YY +KP    AE  V FGTSGHRG+A + SFN+ H
Sbjct: 1   MAIHQRAGQTASQTDLVNIPKLMSHYYSIKPNVDAAEQRVTFGTSGHRGTAFQASFNQDH 60

Query: 61  ILAIAQAIAEERAKNGITGPCYVGKDTHALSEPAFISVLEVLAANGVDVIVQENNGFTPT 120
           I AI QA+ + R    I GP ++G DTHALS  A++S +EVLAAN V V +Q+N+GFTPT
Sbjct: 61  IWAITQAVVDYRQSVNIDGPLFLGIDTHALSYAAYVSAIEVLAANKVTVHIQQNDGFTPT 120

Query: 121 PAVSNAILVHNKK----GGPLADGIVITPSHNPPEDGGIKYNPPNGGPADTNVTKVVEDR 176
           P VS+AI+  N++    G  L+DG++ITPSHNPP+DGGIKYNPP+GGPA+ N+T  +E R
Sbjct: 121 PVVSHAIICANREAALSGAALSDGLIITPSHNPPQDGGIKYNPPHGGPAEGNITAWIESR 180

Query: 177 ANALLAGGLQGVKRISLDAAMASGHVKAVDLVQPFVEGLADIVDMAAIQKAGLTLGVDPL 236
           AN  L  GL+GV +++   A+ SG+V A+DL+ P+V  L ++VDM AI KA L LGVDPL
Sbjct: 181 ANDYLRAGLKGVNKLAYADALTSGYVHAIDLITPYVADLVNVVDMHAIAKAKLKLGVDPL 240

Query: 237 GGSGIEYWKRIAEHYKLNLTLVNDQVDQTFRFMHLDKDGAIRMDCSSECAMAGLLALRDK 296
           GGSGI YW  IA+HY +++TLVND+VD +F FM LDKDG IRMDCSS  AMAGLLA ++ 
Sbjct: 241 GGSGIHYWAPIAKHYGIDITLVNDKVDPSFSFMSLDKDGKIRMDCSSPYAMAGLLAHKES 300

Query: 297 FDLAFANDPDYDRHGIVTPA-GLMNPNHYLAVAINYLFQHRPLWGKDVAVGKTLVSSAMI 355
           FDL   NDPDYDRHGIV P  GLM+PNHYLAVAI+YL  HRP W + +A+GKTLVSSA+I
Sbjct: 301 FDLCVGNDPDYDRHGIVCPCTGLMDPNHYLAVAIDYLLTHRPEWSEQLAIGKTLVSSALI 360

Query: 356 DRVVNDLGRKLVEVPVGFKWFVDGLFDGSFGFGGEESAGASFLRFDGTPWSTDKDGIIMC 415
           D++    G+KL+EVPVGFKWFVDGL + +  FGGEESAGA+FLR DGT W TDKDG I+ 
Sbjct: 361 DKICTFHGKKLLEVPVGFKWFVDGLAEATIAFGGEESAGAAFLRRDGTTWCTDKDGFILV 420

Query: 416 LLAAEITAVTGKNPQEHYNELAARFGAPSYNRLQASATSAQKAALSKLSPEMVSASTLAG 475
           LLAAE+ AVTGK P + + EL A+FG   Y R+ +  +   KA  +KL+ E ++A+ LAG
Sbjct: 421 LLAAEMLAVTGKTPGQRHQELVAQFGQSFYKRIDSPISLENKAKFAKLNAETLNATMLAG 480

Query: 476 DPITARLTAAPGNGASIGGLKVMTDNGWFAARPSGTEDAYKIYCESFLGEEHRKQIEKEA 535
           + I A LT APGN ASIGG+KV T NGWFAARPSGTE  +KIY ESF+ E+H   I K+A
Sbjct: 481 EKIDAVLTHAPGNNASIGGIKVTTANGWFAARPSGTEALFKIYGESFISEQHLADIIKDA 540

Query: 536 VEIVSEVL 543
             ++ + L
Sbjct: 541 QALIDKAL 548


Lambda     K      H
   0.316    0.134    0.395 

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: 901
Number of extensions: 41
Number of successful extensions: 3
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: 546
Length of database: 550
Length adjustment: 36
Effective length of query: 510
Effective length of database: 514
Effective search space:   262140
Effective search space used:   262140
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 (21.6 bits)
S2: 53 (25.0 bits)

Align candidate 7024963 Shewana3_2134 (phosphoglucomutase (RefSeq))
to HMM TIGR01132 (pgm: phosphoglucomutase, alpha-D-glucose phosphate-specific (EC 5.4.2.2))

# hmmsearch :: search profile(s) against a sequence database
# HMMER 3.3.1 (Jul 2020); http://hmmer.org/
# Copyright (C) 2020 Howard Hughes Medical Institute.
# Freely distributed under the BSD open source license.
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
# query HMM file:                  ../tmp/path.carbon/TIGR01132.hmm
# target sequence database:        /tmp/gapView.25594.genome.faa
# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

Query:       TIGR01132  [M=546]
Accession:   TIGR01132
Description: pgm: phosphoglucomutase, alpha-D-glucose phosphate-specific
Scores for complete sequences (score includes all domains):
   --- full sequence ---   --- best 1 domain ---    -#dom-
    E-value  score  bias    E-value  score  bias    exp  N  Sequence                         Description
    ------- ------ -----    ------- ------ -----   ---- --  --------                         -----------
   1.2e-262  858.0   0.9   1.4e-262  857.9   0.9    1.0  1  lcl|FitnessBrowser__ANA3:7024963  Shewana3_2134 phosphoglucomutase


Domain annotation for each sequence (and alignments):
>> lcl|FitnessBrowser__ANA3:7024963  Shewana3_2134 phosphoglucomutase (RefSeq)
   #    score  bias  c-Evalue  i-Evalue hmmfrom  hmm to    alifrom  ali to    envfrom  env to     acc
 ---   ------ ----- --------- --------- ------- -------    ------- -------    ------- -------    ----
   1 !  857.9   0.9  1.4e-262  1.4e-262       1     545 [.       1     548 [.       1     549 [. 0.99

  Alignments for each domain:
  == domain 1  score: 857.9 bits;  conditional E-value: 1.4e-262
                         TIGR01132   1 mainpraGqkaqqedlldvaklvadyyllkpdaenaaqkvefGtsGhrGsalkgtfneahilaiaqavvevraaqGi 77 
                                       mai++raGq a q dl++++kl+++yy++kp+ + a+q+v+fGtsGhrG+a +++fn+ hi ai+qavv++r+   i
  lcl|FitnessBrowser__ANA3:7024963   1 MAIHQRAGQTASQTDLVNIPKLMSHYYSIKPNVDAAEQRVTFGTSGHRGTAFQASFNQDHIWAITQAVVDYRQSVNI 77 
                                       89*************************************************************************** PP

                         TIGR01132  78 tGplyiGkdthalsepafvsvlevlaanqvevivqennrytptpavshailtynkg...kkealadGivitpshnpp 151
                                        Gpl++G dthals  a+vs++evlaan+v v +q+n+++tptp vshai+  n+      +al+dG++itpshnpp
  lcl|FitnessBrowser__ANA3:7024963  78 DGPLFLGIDTHALSYAAYVSAIEVLAANKVTVHIQQNDGFTPTPVVSHAIICANREaalSGAALSDGLIITPSHNPP 154
                                       ******************************************************96222457899************ PP

                         TIGR01132 152 edGGikynppnGGpaetevtkaiedranellkdrlkgvkrldlekalksetvkekdlvkpyvddladvvdlaairka 228
                                       +dGGikynpp+GGpae+++t +ie ran++l+++lkgv +l ++ al s+ v++ dl++pyv+dl++vvd+ ai ka
  lcl|FitnessBrowser__ANA3:7024963 155 QDGGIKYNPPHGGPAEGNITAWIESRANDYLRAGLKGVNKLAYADALTSGYVHAIDLITPYVADLVNVVDMHAIAKA 231
                                       ***************************************************************************** PP

                         TIGR01132 229 glrlGvdplGGagvdywkeiaekynldltlvneavdatfrfmtldkdGkirmdcsspyamagllklkdkydlafgnd 305
                                       +l+lGvdplGG+g++yw +ia++y++d+tlvn++vd++f fm+ldkdGkirmdcsspyamagll+ k+ +dl +gnd
  lcl|FitnessBrowser__ANA3:7024963 232 KLKLGVDPLGGSGIHYWAPIAKHYGIDITLVNDKVDPSFSFMSLDKDGKIRMDCSSPYAMAGLLAHKESFDLCVGND 308
                                       ***************************************************************************** PP

                         TIGR01132 306 adadrhGivtpdkGllnpnhylavaieylykhrqqwaaevavGktlvssalidrvvadlgrklvevpvGfkwfvdGl 382
                                       +d+drhGiv p +Gl++pnhylavai+yl +hr++w++++a+Gktlvssalid++ +  g+kl+evpvGfkwfvdGl
  lcl|FitnessBrowser__ANA3:7024963 309 PDYDRHGIVCPCTGLMDPNHYLAVAIDYLLTHRPEWSEQLAIGKTLVSSALIDKICTFHGKKLLEVPVGFKWFVDGL 385
                                       ***************************************************************************** PP

                         TIGR01132 383 ldgslGfGGeesaGasflrkdGtvwstdkdGiilallaaeitavtGknpqqrydelaakyGdpiyaridaaatsaqk 459
                                        ++++ fGGeesaGa+flr+dGt+w+tdkdG il llaae++avtGk+p+qr++el a++G+ +y+rid++ + ++k
  lcl|FitnessBrowser__ANA3:7024963 386 AEATIAFGGEESAGAAFLRRDGTTWCTDKDGFILVLLAAEMLAVTGKTPGQRHQELVAQFGQSFYKRIDSPISLENK 462
                                       ***************************************************************************** PP

                         TIGR01132 460 arlkklspdevsattlaGdaitakltkapGngaaiGGlkvttdegwfaarpsGtedvykiyaesfkgeehlkeieke 536
                                       a+++kl ++++ at laG+ i a lt+apGn+a+iGG+kvtt++gwfaarpsGte ++kiy esf  e+hl +i k+
  lcl|FitnessBrowser__ANA3:7024963 463 AKFAKLNAETLNATMLAGEKIDAVLTHAPGNNASIGGIKVTTANGWFAARPSGTEALFKIYGESFISEQHLADIIKD 539
                                       ***************************************************************************** PP

                         TIGR01132 537 aeeivdevl 545
                                       a++++d++l
  lcl|FitnessBrowser__ANA3:7024963 540 AQALIDKAL 548
                                       *****9987 PP



Internal pipeline statistics summary:
-------------------------------------
Query model(s):                            1  (546 nodes)
Target sequences:                          1  (550 residues searched)
Passed MSV filter:                         1  (1); expected 0.0 (0.02)
Passed bias filter:                        1  (1); expected 0.0 (0.02)
Passed Vit filter:                         1  (1); expected 0.0 (0.001)
Passed Fwd filter:                         1  (1); expected 0.0 (1e-05)
Initial search space (Z):                  1  [actual number of targets]
Domain search space  (domZ):               1  [number of targets reported over threshold]
# CPU time: 0.02u 0.01s 00:00:00.03 Elapsed: 00:00:00.03
# Mc/sec: 9.80
//
[ok]

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

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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, or view the source code.

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