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

GapMind for catabolism of small carbon sources

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

Align Methylcrotonoyl-CoA carboxylase (EC 6.4.1.4) (characterized)
to candidate 7024491 Shewana3_1669 3-methylcrotonoyl-CoA carboxylase, alpha subunit (RefSeq)

Query= reanno::SB2B:6937189
         (673 letters)



>FitnessBrowser__ANA3:7024491
          Length = 674

 Score =  962 bits (2487), Expect = 0.0
 Identities = 490/666 (73%), Positives = 553/666 (83%), Gaps = 6/666 (0%)

Query: 1   MFNKLLIANRGEIACRVIRTARDMGIKTVAVYSDADRDARHVALADESFYLGESAPASSY 60
           M  KLLIANRGEIACR+I+TA+ MG++TVA+YSDAD++ARHVA+ADESFYLG SAPA SY
Sbjct: 1   MLTKLLIANRGEIACRIIKTAQAMGVRTVALYSDADKNARHVAMADESFYLGGSAPADSY 60

Query: 61  LRGELIIDIAKKCGAEAIHPGYGFLSENAAFARACEASGIAFVGPGSDAIDAMGSKSAAK 120
           L+G+LII+IAKK  A+AIHPGYGFLSENA FAR CEA+GI FVGPGSDAIDAMGSKSAAK
Sbjct: 61  LKGDLIIEIAKKAQAQAIHPGYGFLSENADFARKCEAAGIVFVGPGSDAIDAMGSKSAAK 120

Query: 121 LIMEKAGVPLVPGYHGDDQSDATLLAEAKKIGYPLLIKAAYGGGGKGMRIVESESELKAA 180
            IM  A VPLVPGYHGDDQ+DATL AEA KIG+P+LIKAAYGGGGKGMRIVE E E+  A
Sbjct: 121 AIMTAAQVPLVPGYHGDDQTDATLKAEALKIGFPMLIKAAYGGGGKGMRIVEHEGEIMDA 180

Query: 181 IDSARREAASSFGNDKLLMERYLRQPRHVEVQVFADSQGNCVYLSDRDCSIQRRHQKVVE 240
           I+SARREAASSFGNDKLLMERYLRQPRHVEVQVFAD+ GN +YLSDRDCSIQRRHQKVVE
Sbjct: 181 INSARREAASSFGNDKLLMERYLRQPRHVEVQVFADTFGNAIYLSDRDCSIQRRHQKVVE 240

Query: 241 EAPAPGLPDSLRKQMGEAAVAAAKAIDYRGAGTVEFLLDVDMSFFFMEMNTRLQVEHPVT 300
           EAPAPGL D LR QMGEAAVAAAKAIDY GAGTVEFLLD D SF+FMEMNTRLQVEHPVT
Sbjct: 241 EAPAPGLSDELRTQMGEAAVAAAKAIDYVGAGTVEFLLDTDNSFYFMEMNTRLQVEHPVT 300

Query: 301 EMVTGQDLVKWQLLVAAGAQLPLEQHEIQIHGHAFEVRIYAEDPNNEFLPASGKLTFLRE 360
           EMVTGQDLVKWQL+VA+G  LPL+Q E++IHGHAFEVRIYAEDP NEFLPASGKL FLRE
Sbjct: 301 EMVTGQDLVKWQLMVASGQPLPLKQDEVRIHGHAFEVRIYAEDPQNEFLPASGKLNFLRE 360

Query: 361 PEPSRHVRIDSGVRENDVISNYYDPMIAKLIVWDESRPRALARLTRALGDYRVGGLKHNI 420
           PE S++VRIDSG+RENDVISN+YDPMIAKLIVWDESRPRAL RL  AL  Y++ GLKHNI
Sbjct: 361 PEQSKYVRIDSGIRENDVISNFYDPMIAKLIVWDESRPRALQRLVHALESYQISGLKHNI 420

Query: 421 EFLSNIAEHPAFAQANFSTDFIGRYGDALIGDSRDEADTAFVLAVLTQLRLRE--AVSQD 478
           EFL+NIAEHPAFA+A+FSTDFI RYGDALI  +  E DTA   A L Q+  R+  A +Q 
Sbjct: 421 EFLANIAEHPAFAKADFSTDFINRYGDALISSASSETDTALAFAALYQVLARKEAAKAQA 480

Query: 479 VAGHDPFSPWSSLKGFRLSSPRRHSVTLLDDAHQSRSAELTESNGRYQLCL----NDKLI 534
           +   DP+SPW  + GFRL+S  +HS+ LLDDAH+ +   L +    YQL           
Sbjct: 481 INSADPYSPWGQVSGFRLNSVSQHSIALLDDAHELQQLVLLDFGDHYQLSQPTADGQVSK 540

Query: 535 ELSGSIEDSELKCEINGHKMKVTVSLEDGGLTVFLSSGSYHFREVLGQVLEETASSEDKL 594
            LSG ++   L  EINGHK KV VS +    T+FL SGSYHFR V  QV+E  +S+EDKL
Sbjct: 541 SLSGELKQDLLLAEINGHKSKVPVSAQGDDFTLFLPSGSYHFRAVKTQVVEAESSNEDKL 600

Query: 595 KAPMNGTVVTHLVAAGDKVSAGQGLLVMEAMKMEYTIEAPFDGVVSEFFFAPGELVSDGT 654
           KAPMNGTVVTHLV  G +V+AGQGLLVMEAMKMEYTIEAPFDG+V+EF+F  GELVSDG 
Sbjct: 601 KAPMNGTVVTHLVEVGAEVNAGQGLLVMEAMKMEYTIEAPFDGIVTEFYFKAGELVSDGA 660

Query: 655 LLLALE 660
           +LL +E
Sbjct: 661 VLLHVE 666


Lambda     K      H
   0.317    0.134    0.380 

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: 1273
Number of extensions: 50
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: 673
Length of database: 674
Length adjustment: 39
Effective length of query: 634
Effective length of database: 635
Effective search space:   402590
Effective search space used:   402590
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: 54 (25.4 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
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