Alignments for a candidate for put1 in Shewanella sp. ANA-3

GapMind for catabolism of small carbon sources

Alignments for a candidate for put1 in Shewanella sp. ANA-3

Align L-glutamate gamma-semialdehyde dehydrogenase (EC 1.2.1.88); Proline dehydrogenase (EC 1.5.5.2) (characterized)
to candidate 7023590 Shewana3_0819 bifunctional proline dehydrogenase/pyrroline-5-carboxylate dehydrogenase (RefSeq)

Query= reanno::ANA3:7023590
         (1064 letters)



>FitnessBrowser__ANA3:7023590
          Length = 1064

 Score = 2077 bits (5382), Expect = 0.0
 Identities = 1064/1064 (100%), Positives = 1064/1064 (100%)

Query: 1    MEAITMFKASEVLAGRYDSANLDELFKAVTDNYIVDEEQYLSELIKLVPSSDEAIERVTR 60
            MEAITMFKASEVLAGRYDSANLDELFKAVTDNYIVDEEQYLSELIKLVPSSDEAIERVTR
Sbjct: 1    MEAITMFKASEVLAGRYDSANLDELFKAVTDNYIVDEEQYLSELIKLVPSSDEAIERVTR 60

Query: 61   RAHELVNKVRQFDKKGLMVGIDAFLQQYSLETQEGIILMCLAEALLRIPDAATADALIED 120
            RAHELVNKVRQFDKKGLMVGIDAFLQQYSLETQEGIILMCLAEALLRIPDAATADALIED
Sbjct: 61   RAHELVNKVRQFDKKGLMVGIDAFLQQYSLETQEGIILMCLAEALLRIPDAATADALIED 120

Query: 121  KLSGAKWDEHLSKSDSVLVNASTWGLMLTGKIVKLDKKIDGTPSNLLSRLVNRLGEPVIR 180
            KLSGAKWDEHLSKSDSVLVNASTWGLMLTGKIVKLDKKIDGTPSNLLSRLVNRLGEPVIR
Sbjct: 121  KLSGAKWDEHLSKSDSVLVNASTWGLMLTGKIVKLDKKIDGTPSNLLSRLVNRLGEPVIR 180

Query: 181  QAMMAAMKIMGKQFVLGRTMKEALKNSEDKRKLGYTHSYDMLGEAALTRKDAEKYFNDYA 240
            QAMMAAMKIMGKQFVLGRTMKEALKNSEDKRKLGYTHSYDMLGEAALTRKDAEKYFNDYA
Sbjct: 181  QAMMAAMKIMGKQFVLGRTMKEALKNSEDKRKLGYTHSYDMLGEAALTRKDAEKYFNDYA 240

Query: 241  NAITELGAQSYNENESPRPTISIKLSALHPRYEVANEDRVLTELYDTVIRLIKLARGLNI 300
            NAITELGAQSYNENESPRPTISIKLSALHPRYEVANEDRVLTELYDTVIRLIKLARGLNI
Sbjct: 241  NAITELGAQSYNENESPRPTISIKLSALHPRYEVANEDRVLTELYDTVIRLIKLARGLNI 300

Query: 301  GISIDAEEVDRLELSLKLFQKLFNADATKGWGLLGIVVQAYSKRALPVLVWLTRLAKEQG 360
            GISIDAEEVDRLELSLKLFQKLFNADATKGWGLLGIVVQAYSKRALPVLVWLTRLAKEQG
Sbjct: 301  GISIDAEEVDRLELSLKLFQKLFNADATKGWGLLGIVVQAYSKRALPVLVWLTRLAKEQG 360

Query: 361  DEIPVRLVKGAYWDSELKWAQQAGEAAYPLYTRKAGTDVSYLACARYLLSDATRGAIYPQ 420
            DEIPVRLVKGAYWDSELKWAQQAGEAAYPLYTRKAGTDVSYLACARYLLSDATRGAIYPQ
Sbjct: 361  DEIPVRLVKGAYWDSELKWAQQAGEAAYPLYTRKAGTDVSYLACARYLLSDATRGAIYPQ 420

Query: 421  FASHNAQTVAAISDMAGDRNHEFQRLHGMGQELYDTILSEAGAKAVRIYAPIGAHKDLLP 480
            FASHNAQTVAAISDMAGDRNHEFQRLHGMGQELYDTILSEAGAKAVRIYAPIGAHKDLLP
Sbjct: 421  FASHNAQTVAAISDMAGDRNHEFQRLHGMGQELYDTILSEAGAKAVRIYAPIGAHKDLLP 480

Query: 481  YLVRRLLENGANTSFVHKLVDPKTPIESLVVHPLKTLTGYKTLANNKIVLPTDIFGSDRK 540
            YLVRRLLENGANTSFVHKLVDPKTPIESLVVHPLKTLTGYKTLANNKIVLPTDIFGSDRK
Sbjct: 481  YLVRRLLENGANTSFVHKLVDPKTPIESLVVHPLKTLTGYKTLANNKIVLPTDIFGSDRK 540

Query: 541  NSKGLNMNIISEAEPFFAALDKFKSTQWQAGPLVNGQTLTGEHKTVVSPFDTTQTVGQVA 600
            NSKGLNMNIISEAEPFFAALDKFKSTQWQAGPLVNGQTLTGEHKTVVSPFDTTQTVGQVA
Sbjct: 541  NSKGLNMNIISEAEPFFAALDKFKSTQWQAGPLVNGQTLTGEHKTVVSPFDTTQTVGQVA 600

Query: 601  FADKAAIEQAVASADAAFATWTRTPVEVRASALQKLADLLEENREELIALCTREAGKSIQ 660
            FADKAAIEQAVASADAAFATWTRTPVEVRASALQKLADLLEENREELIALCTREAGKSIQ
Sbjct: 601  FADKAAIEQAVASADAAFATWTRTPVEVRASALQKLADLLEENREELIALCTREAGKSIQ 660

Query: 661  DGIDEVREAVDFCRYYAVQAKKLMSKPELLPGPTGELNELFLQGRGVFVCISPWNFPLAI 720
            DGIDEVREAVDFCRYYAVQAKKLMSKPELLPGPTGELNELFLQGRGVFVCISPWNFPLAI
Sbjct: 661  DGIDEVREAVDFCRYYAVQAKKLMSKPELLPGPTGELNELFLQGRGVFVCISPWNFPLAI 720

Query: 721  FLGQVSAALAAGNTVVAKPAEQTSIIGYRAVQLAHQAGIPTDVLQYLPGTGATVGNALTA 780
            FLGQVSAALAAGNTVVAKPAEQTSIIGYRAVQLAHQAGIPTDVLQYLPGTGATVGNALTA
Sbjct: 721  FLGQVSAALAAGNTVVAKPAEQTSIIGYRAVQLAHQAGIPTDVLQYLPGTGATVGNALTA 780

Query: 781  DERIGGVCFTGSTGTAKLINRTLANREGAIIPLIAETGGQNAMVVDSTSQPEQVVNDVVS 840
            DERIGGVCFTGSTGTAKLINRTLANREGAIIPLIAETGGQNAMVVDSTSQPEQVVNDVVS
Sbjct: 781  DERIGGVCFTGSTGTAKLINRTLANREGAIIPLIAETGGQNAMVVDSTSQPEQVVNDVVS 840

Query: 841  SSFTSAGQRCSALRVLFLQEDIADRVIDVLQGAMDELVIGNPSSVKTDVGPVIDATAKAN 900
            SSFTSAGQRCSALRVLFLQEDIADRVIDVLQGAMDELVIGNPSSVKTDVGPVIDATAKAN
Sbjct: 841  SSFTSAGQRCSALRVLFLQEDIADRVIDVLQGAMDELVIGNPSSVKTDVGPVIDATAKAN 900

Query: 901  LDAHIDHIKQVGKLIKQMSLPAGTENGHFVSPTAVEIDSIKVLEKEHFGPILHVIRYKAS 960
            LDAHIDHIKQVGKLIKQMSLPAGTENGHFVSPTAVEIDSIKVLEKEHFGPILHVIRYKAS
Sbjct: 901  LDAHIDHIKQVGKLIKQMSLPAGTENGHFVSPTAVEIDSIKVLEKEHFGPILHVIRYKAS 960

Query: 961  ELAHVIDEINSTGFGLTLGIHSRNEGHALEVADKVNVGNVYINRNQIGAVVGVQPFGGQG 1020
            ELAHVIDEINSTGFGLTLGIHSRNEGHALEVADKVNVGNVYINRNQIGAVVGVQPFGGQG
Sbjct: 961  ELAHVIDEINSTGFGLTLGIHSRNEGHALEVADKVNVGNVYINRNQIGAVVGVQPFGGQG 1020

Query: 1021 LSGTGPKAGGPHYLTRFVTEKTRTNNITAIGGNATLLSLGDSDA 1064
            LSGTGPKAGGPHYLTRFVTEKTRTNNITAIGGNATLLSLGDSDA
Sbjct: 1021 LSGTGPKAGGPHYLTRFVTEKTRTNNITAIGGNATLLSLGDSDA 1064


Lambda     K      H
   0.317    0.133    0.377 

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: 3210
Number of extensions: 109
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: 1064
Length of database: 1064
Length adjustment: 45
Effective length of query: 1019
Effective length of database: 1019
Effective search space:  1038361
Effective search space used:  1038361
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: 58 (26.9 bits)

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

Downloads

Candidates (tab-delimited)
Steps (tab-delimited)
Rules (tab-delimited)
Protein sequences (fasta format)
Organisms (tab-delimited)
SQLite3 databases

Related tools

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