GapMind for catabolism of small carbon sources

 

Aligments for a candidate for glpS in Shewanella oneidensis MR-1

Align ABC transporter for Glycerol, ATPase component 1 (characterized)
to candidate 203725 SO4655 sulfate ABC transporter, ATP-binding protein (NCBI ptt file)

Query= reanno::acidovorax_3H11:Ac3H11_791
         (363 letters)



>FitnessBrowser__MR1:203725
          Length = 354

 Score =  149 bits (375), Expect = 1e-40
 Identities = 111/358 (31%), Positives = 183/358 (51%), Gaps = 16/358 (4%)

Query: 1   MQLALDSISKKVGAQTWLYDMSLALQSGAVTVLLGATQAGKTSLMRIMAGLDAPTAGRVT 60
           M + +  ++K  G    +  ++L +++G +T LLG + +GKT+L+RI+AGL+   +G V 
Sbjct: 1   MSIHIQQVNKHFGNFVAVDSVNLEIKTGELTALLGPSGSGKTTLLRIIAGLEQADSGIVK 60

Query: 61  VDGKDVTGMPVRDRNVAMVYQQFINYPSMKVAANIASPLKLRGEKNIDARVREIASRLH- 119
            +G+D+T   V +R V  V+Q +  +  M V  N+A  L +R  K   ++  EIA ++H 
Sbjct: 61  FNGEDITTQHVSERGVGFVFQHYALFKHMTVFENVAYGLTVRPRKTRPSKA-EIAEKVHS 119

Query: 120 ------IDMFLDRYPAELSGGQQQRVALARALAKGAPLMLLDEPLVNLDYKLREELREEL 173
                 +D   DRYP++LSGGQ+QR+ALARALA    ++LLDEP   LD K+R ELR  L
Sbjct: 120 LLKLVQLDWTADRYPSQLSGGQRQRIALARALAVEPKVLLLDEPFGALDAKVRAELRRWL 179

Query: 174 TQLFAAGQSTVVYATTEPGEALLLGGYTAVLDEGQLLQYGPTAEVFHAPNSLRVARAFSD 233
            +L      T V+ T +  EAL +     V+++G++ Q G   EV+  P++  V     +
Sbjct: 180 RRLHDEINVTTVFVTHDQEEALEVADKIVVMNKGRIEQQGTPEEVYDTPSNPFVYEFLGN 239

Query: 234 PPMNLMAASATAQGVRLQGGAELTLPLPQGAATAAGLTVGVRASALRVHARPGDVSVAGV 293
             +NL  A     G    G   +  P   G     GL   VR   + V  +P + ++   
Sbjct: 240 --VNLFHA-RVKHGHSTIGNIHIPSPEHAGGEEQQGLAY-VRPHEIEVLTQPTENAIKVN 295

Query: 294 VELAEISGSDTFVHASTPWGD--LVAQLTGVHYFELGTA--ITLHLDPAQAYVFGADG 347
           ++L  I G    +   T   +  +  +L+ V + +LG +      + P  + VF  +G
Sbjct: 296 LDLVTIVGPVARLEVLTEIDEQLIHVELSKVQFKQLGISKGDNAWIQPRYSKVFLGEG 353


Lambda     K      H
   0.318    0.133    0.375 

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: 244
Number of extensions: 8
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: 363
Length of database: 354
Length adjustment: 29
Effective length of query: 334
Effective length of database: 325
Effective search space:   108550
Effective search space used:   108550
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 (21.7 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