Aligments for a candidate for CCNA_00435 in Sphingomonas koreensis DSMZ 15582

GapMind for catabolism of small carbon sources

Aligments for a candidate for CCNA_00435 in Sphingomonas koreensis DSMZ 15582

Align Amino acid transporter (characterized, see rationale)
to candidate Ga0059261_1053 Ga0059261_1053 amino acid/polyamine/organocation transporter, APC superfamily (TC 2.A.3)

Query= uniprot:A0A0H3C3Q5
         (483 letters)



>lcl|FitnessBrowser__Korea:Ga0059261_1053 Ga0059261_1053 amino
           acid/polyamine/organocation transporter, APC superfamily
           (TC 2.A.3)
          Length = 512

 Score =  429 bits (1103), Expect = e-124
 Identities = 234/497 (47%), Positives = 315/497 (63%), Gaps = 49/497 (9%)

Query: 13  RRKAIDTITAGHADSHQLKKTLSWPHLVALGVGAIVGTGIYTLTGVGAGLAGPGVILSFL 72
           R K +D I A  A+   L ++L    L  LG+GA++GTGI+ LT   A  AGPG++LSF+
Sbjct: 5   RVKPLDAILAT-AEKKSLHRSLGAFQLTMLGIGAVIGTGIFVLTAEAAQKAGPGMMLSFV 63

Query: 73  IAGAVCACAALCYAELSTMIPASGSAYTYSYAAMGEPVAWFVGWSLILEYTLVCAAVAVG 132
           IAG VCA AALCYAE++ M+P SGSAYTYSYA MGE +AW VGW+LILEY +   AV+VG
Sbjct: 64  IAGVVCAVAALCYAEMAAMVPVSGSAYTYSYAVMGELIAWMVGWALILEYAVAAGAVSVG 123

Query: 133 WSAHAHGLFK---MIGFPDALLAGPHQGGLINMPAVFISMAVAGLLALGTRESATVNMVL 189
           WS +  GL +    +  PDAL+ GP+ GG+IN+PA+ I+  V  LL +GT+ESA VN VL
Sbjct: 124 WSGYVVGLIENAFALDIPDALVRGPYDGGIINLPAMLIAGLVTWLLVIGTKESAFVNSVL 183

Query: 190 VFVKIIALIVFVVLCLPAFNLAHFTPFMPNGFQAHVPEGAAADAAKVGVMAAASLIFFAF 249
           V VK+ AL +F++L +P  N+ +F PF P GF               GV AAA+ IFFA+
Sbjct: 184 VLVKVSALSLFIILAIPVMNMQNFEPFSPLGF--------------AGVSAAAASIFFAY 229

Query: 250 YGFDAVSTAAEETKNPKRDLTIGIVGSMAVCTAIYMIVAAVSIG---------------- 293
            GFDAVSTAAEETKNP+R++ IG++GS+A+CT  Y++VAA  IG                
Sbjct: 230 VGFDAVSTAAEETKNPQRNMPIGLIGSLAICTIFYLLVAAGVIGSVGAQPILGPDGAALP 289

Query: 294 ---------------ASRTEVFSKSEAPLVFILESLNHGKIAQLVALAAVIALPTVILAF 338
                          A+  E    S+  L + L  +   +I  L+ LAA +ALP+VIL  
Sbjct: 290 PGSTELTKACVETAAATGKEAVVCSKEALAWTLREIGWPQIGNLIGLAAGLALPSVILMM 349

Query: 339 MYGQSRIFFVMARDGLLPRALSKVNAKTGTPVMMTLLTGVLAAVISGLLSLKDIAELANA 398
           M+GQ+RIFFVM+RDGLLP   SKV+ K  TP ++T+LTGV  A+ +    +  +A+++N+
Sbjct: 350 MFGQTRIFFVMSRDGLLPAVFSKVHPKFHTPHVITILTGVFVALFAAFFPVGKLADISNS 409

Query: 399 GTLWAFIAVGASVILLRLREPNRPRVFSTPLWPIVAPAGILGCLYLFLSLPGKTQLYFLY 458
           GTL+AF AV  +V++LR  +P+R R F TPL  I AP  ILGC YLF SL   T++ F+ 
Sbjct: 410 GTLFAFAAVSIAVLVLRRTDPDRKRPFRTPLIIITAPIAILGCAYLFYSLGHDTKMMFVG 469

Query: 459 AHLIGAVVYLAYGMRKS 475
              +G +VY  Y  RKS
Sbjct: 470 WAALGLLVYFGYSRRKS 486


Lambda     K      H
   0.326    0.138    0.415 

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: 736
Number of extensions: 34
Number of successful extensions: 5
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: 483
Length of database: 512
Length adjustment: 34
Effective length of query: 449
Effective length of database: 478
Effective search space:   214622
Effective search space used:   214622
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 (21.7 bits)
S2: 52 (24.6 bits)

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

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Protein sequences (fasta format)
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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