GapMind for catabolism of small carbon sources

 

Aligments for a candidate for PS417_12060 in Herbaspirillum seropedicae SmR1

Align ABC transporter permease; SubName: Full=Monosaccharide ABC transporter membrane protein, CUT2 family; SubName: Full=Sugar ABC transporter permease (characterized, see rationale)
to candidate HSERO_RS03645 HSERO_RS03645 ribose ABC transporter permease

Query= uniprot:A0A1N7UKA9
         (325 letters)



>FitnessBrowser__HerbieS:HSERO_RS03645
          Length = 339

 Score =  244 bits (623), Expect = 2e-69
 Identities = 144/314 (45%), Positives = 207/314 (65%), Gaps = 16/314 (5%)

Query: 22  LDRFGLPLVFILLCVVMAFSSEY--------FMTWRNWMDILRQTSINGILAVGMTYVIL 73
           L R G+  V ++L ++    + Y        F +  N M+ILRQ +IN +LA GMT+VIL
Sbjct: 24  LHRLGMLPVLVVLYLLFYGLTLYLSGDGTSNFASAENTMNILRQVAINLVLAAGMTFVIL 83

Query: 74  TKGIDLSVGSILAFAGLCSAMVATQGYGLLAAVSAGMFAGAMLGVVNGFMVANLSIPPFV 133
           T GIDLSVGS+LA + +    V+  G     A+   +F+G ++G+VNG MVA L+I  FV
Sbjct: 84  TAGIDLSVGSVLAVSAVLGMQVSL-GAAPGWAIPMFIFSGLVMGMVNGAMVALLNINAFV 142

Query: 134 ATLGMLSIARGMTFILNDGSPI--TDLPDAYLALGIGKIGPIGVPIIIFAVVALIF--WM 189
            TLG ++  RG  ++L DG+ +   D+P ++  +G G    + VP +I+  VA++   W+
Sbjct: 143 VTLGTMTAFRGAAYLLADGTTVLNNDIP-SFEWIGNGDF--LHVPWLIWVAVAVVLLSWV 199

Query: 190 VLRYTTYGRYVYAVGGNEKSARTSGIGVRKVMFSVYVVSGLLAGLAGVVLSARTTSALPQ 249
           +LR T  G ++YA+GGN ++AR +GI V  V+  VY +SGL +GLAG + ++R   A   
Sbjct: 200 ILRKTVLGMHIYAIGGNLQAARLTGIRVGLVLLFVYSISGLFSGLAGAMSASRLYGANGN 259

Query: 250 AGVSYELDAIAAVVIGGTSLSGGTGSIVGTLFGALLIGVINNGLNLLGVSSYYQQVAKGL 309
            G  YELDAIAAVV+GGTSL GG GSI GT+ GAL+IGV+NNGL +LG+SS++Q VAKG 
Sbjct: 260 WGSGYELDAIAAVVLGGTSLMGGVGSIWGTVVGALIIGVMNNGLTILGLSSFWQYVAKGA 319

Query: 310 IIVFAVLIDVWRKK 323
           +IV AV++D WR+K
Sbjct: 320 VIVLAVILDKWRQK 333


Lambda     K      H
   0.326    0.141    0.412 

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: 282
Number of extensions: 13
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: 325
Length of database: 339
Length adjustment: 28
Effective length of query: 297
Effective length of database: 311
Effective search space:    92367
Effective search space used:    92367
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 (21.6 bits)
S2: 49 (23.5 bits)

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:

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:

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:

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