Aligments for a candidate for dddA in Dyella japonica UNC79MFTsu3.2

GapMind for catabolism of small carbon sources

Aligments for a candidate for dddA in Dyella japonica UNC79MFTsu3.2

Align 3-hydroxypropionate dehydrogenase (EC 1.1.1.59) (characterized)
to candidate N515DRAFT_4337 N515DRAFT_4337 Choline dehydrogenase

Query= metacyc::MONOMER-15202
         (579 letters)



>FitnessBrowser__Dyella79:N515DRAFT_4337
          Length = 533

 Score =  357 bits (915), Expect = e-103
 Identities = 222/554 (40%), Positives = 304/554 (54%), Gaps = 39/554 (7%)

Query: 36  FDYIVVGAGTAGCLLANRLSADPANRVLLIEAGGRDNYHWIHIPVGYLYCINNPR----- 90
           +DY++VG G+AGC+LANRLSA P  RVLL+EAG RD    IH+P G    + + R     
Sbjct: 3   YDYVIVGGGSAGCVLANRLSAQPGKRVLLLEAGPRDLNPLIHMPAGIAKLVGDHRGLARL 62

Query: 91  -----TDWRFRTEPDPGLNGRSLIYPRGKTLGGCSSINGMLYLRGQARDYDGWAELTGDD 145
                 +W +RTEP   L  R L +PRGKTLGG SSIN M Y+RG A DY+ WA+ TGD+
Sbjct: 63  YGSGRINWGYRTEPQAQLMNRRLWWPRGKTLGGSSSINAMCYIRGAAGDYEAWAQATGDE 122

Query: 146 AWRWDNCLPDFMRHEDHYRLDEGGDADPDHYKFHGHGGEWRIEKQRLKWQVLADFATAAV 205
            WRWD  L  F+R ED+ R      A P    +HG GG   +   R   ++   F  A  
Sbjct: 123 RWRWDAVLSWFLRGEDNAR-----GAGP----WHGAGGPLSVADLRFHSELSDAFVAAGA 173

Query: 206 EAGVPRTRDFNRGDNEGVDAFEVNQRSGWRWNASKAFLRGVEQRGNLTVWHSTQVLKLDF 265
            AG  R  DFN    +G   ++V QR G R +A+ A+LR   QR NL V     V ++  
Sbjct: 174 AAGFARNDDFNGARQDGFGLYQVTQRDGARCSAAVAYLRPALQRANLEVRTGALVQRVLI 233

Query: 266 ASGEGSEPRCCGVTVERAGKKVVTTARCEVVLSAGAIGSPQLLQLSGIGPTALLAEHAIP 325
             G     R  GV V   G+++      EV+L+AGA+ +PQLL LSGIGP   L EH +P
Sbjct: 234 EQG-----RAVGVQV--GGRRIEAG---EVILAAGAVNTPQLLMLSGIGPADHLREHGVP 283

Query: 326 VVADLPGVGENLQDHLQIRSIYKVKGAKTLNTMANSLIGKAKIGLEYILKRSGPMSMAPS 385
           V+ D P VG +LQDHL I S+       T + + N L     +   Y   R G  +   +
Sbjct: 284 VLLDQPHVGAHLQDHLDICSVVGTHSRATFDHL-NDL----AVAWRYARHRDGIGTSNAA 338

Query: 386 QLCIFTRS-SKEYEHPNLEYHVQPLSLEAFGQPLHDFPAITASVCNLNPTSRGTVRIKSG 444
           +   F RS     E  ++++H  P  L+  G         T   C L+P SRG +R++S 
Sbjct: 339 EAGGFVRSRHAPDERCDIQFHFIPAQLDDHGAHALPGRGYTVHACYLHPRSRGRLRLRSA 398

Query: 445 NPRQAPAISPNYLSTEE--DRQVAADSLRVTRHIASQPAFAKYDPEEFKPGVQYQSDEDL 502
           +P    AI  NYL   +  D ++  ++ R++R I +Q  F  +     +P  + ++D + 
Sbjct: 399 DPAVPIAIHANYLGDAQGHDLKLMIEAARLSREILAQAPFDAFRGAPVQPAGELRTDTEY 458

Query: 503 ARLAGDIGTTIFHPVGTAKMGRDDDPMAVVDSHLRVRGVTGLRVVDASIMPTITSGNTNS 562
           A        TI+HPVGT +MGR+ +  AVVDS LRV G+ GLRV DAS+MPT+ +GNTN+
Sbjct: 459 ADFIRRRAETIYHPVGTCRMGREHE--AVVDSELRVWGLPGLRVADASVMPTLVTGNTNA 516

Query: 563 PTLMIAEKAAGWIL 576
           PTLMIAE+AA  +L
Sbjct: 517 PTLMIAERAAALML 530


Lambda     K      H
   0.318    0.135    0.418 

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: 967
Number of extensions: 49
Number of successful extensions: 7
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: 579
Length of database: 533
Length adjustment: 36
Effective length of query: 543
Effective length of database: 497
Effective search space:   269871
Effective search space used:   269871
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: 53 (25.0 bits)

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

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

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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