Alignments for a candidate for cbtD in Halomonas desiderata SP1

GapMind for catabolism of small carbon sources

Alignments for a candidate for cbtD in Halomonas desiderata SP1

Align CbtD, component of Cellobiose and cellooligosaccharide porter (characterized)
to candidate WP_086508118.1 BZY95_RS00870 ABC transporter ATP-binding protein

Query= TCDB::Q97VF5
         (362 letters)



>NCBI__GCF_002151265.1:WP_086508118.1
          Length = 766

 Score =  236 bits (603), Expect = 1e-66
 Identities = 121/314 (38%), Positives = 198/314 (63%), Gaps = 5/314 (1%)

Query: 45  ILEVHNLNVIYDEGNSRIIKAVNDVSFGVEKGEILGIIGESGSGKTTLISAILRAIRPPG 104
           +L+V +L + Y  G   + +AV+ + F +  GE LG++GESG GKTT   A+LR + P G
Sbjct: 6   LLKVEDLAIHYRTGAGPV-QAVDGIHFDLRPGEALGLVGESGCGKTTAAKAMLRLLPPNG 64

Query: 105 KIISGKVIFNGMDIFSMTIDEFRKLLWKDISYVPQASQNALNPVLPISEIFYHEAISHGE 164
           ++  G++ F+G D+ ++  +  RK+ WK+I+++ QA+ NAL+PV  + +       +H +
Sbjct: 65  EVPRGRIDFDGRDLVALDEESMRKVRWKEIAWISQAAMNALDPVYTVGDQILEAMNAHIK 124

Query: 165 ADKKRVIERASELLKLVGLDPARVLKMYPFQLSGGMKQRVMIALSLLLNPKLILMDEPTS 224
            D+K     A EL + VG+DP R L  YP ++SGGMKQR +IA++L L+PKLI+ DEPT+
Sbjct: 125 IDRKTAWAHAEELFRAVGIDPGR-LSAYPHEMSGGMKQRAVIAMALALDPKLIIADEPTT 183

Query: 225 ALDMLNQELLLKLIKNINQEMGVTIVYVTHDILNIAQIANRLLVMYKGYVMEEGKTEEII 284
           ALD++ Q  +L  +  + +E G+ ++++THDI  + Q  +R+ VMY G++ME G   E+ 
Sbjct: 184 ALDVVTQAQILARLSKLRRERGMGLLFITHDISVVVQTCDRVAVMYGGHIMETGPVREVF 243

Query: 285 KSPLNPYTSLLVSSIPSLKG-EVKVINVPLDEP-LVSKEKGCPFLARCSKAFGRCKEELP 342
            +P +PYT  L ++ P+L+G + ++I++P   P L++   GC F  RC  A  RC  E P
Sbjct: 244 GTPFHPYTMGLTNAFPTLEGAQRELISIPGSPPDLLNPPSGCRFAERCPFATERCVRETP 303

Query: 343 EIRLV-YDRKVRCH 355
            +  V  +R+  CH
Sbjct: 304 PLHPVGEERQAACH 317



 Score =  165 bits (418), Expect = 3e-45
 Identities = 99/293 (33%), Positives = 158/293 (53%), Gaps = 13/293 (4%)

Query: 51  LNVIYDEGNSRIIKAVNDVSFGVEKGEILGIIGESGSGKTTLISAILRAIRPPGKIISGK 110
           L+ +      R + AV+ +SF + +GEILG+ GESGSGKTT    ++R +     +  G+
Sbjct: 379 LDGLRGRNKDRKVHAVDGISFDLREGEILGLAGESGSGKTTTGEMLVRLL----DVTEGE 434

Query: 111 VIFNGMDIFSMTIDEFRKLLWKDISYVPQASQNALNPVLPISEIFYHEAISHGEADKKRV 170
           + F G DI  +T  E  K   +    + Q     LNP   I +I     I H  A+ + +
Sbjct: 435 IRFEGADIAQLTGREL-KTFRRRAQMIFQDPYQTLNPRFTIFDIVAEPLIIHRLAEGEAL 493

Query: 171 IERASELLKLVGLDPARVL-KMYPFQLSGGMKQRVMIALSLLLNPKLILMDEPTSALDML 229
            ++    L+  GL PA V  + +P +LSGG +QRV IA +++L P+ I+ DEP S LD+ 
Sbjct: 494 RQKVVVALERAGLKPAEVYAERFPHELSGGQRQRVAIARAIVLEPRFIVADEPVSMLDVS 553

Query: 230 NQELLLKLIKNINQEMGVTIVYVTHDILNIAQIANRLLVMYKGYVMEEGKTEEIIKSPLN 289
            +  +L L+     E+G++ VYV+HD+  I  +A+R  +MY G ++E G TE++++   +
Sbjct: 554 IRAGVLNLMHRFRNELGISFVYVSHDLPTIRYVADRTAIMYLGEIVEVGPTEQVVRERKH 613

Query: 290 PYTSLLVSSIPSLKGEVKVINVPLDE-----PLVSKEKGCPFLARCSKAFGRC 337
           PYT LL+ + P  + +  V+  PL+        V    GC F  RC +A   C
Sbjct: 614 PYTQLLLEASP--EPDPAVVKPPLESAGEIPSAVEPPNGCHFHTRCPRAMAHC 664


Lambda     K      H
   0.319    0.138    0.391 

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: 572
Number of extensions: 22
Number of successful extensions: 5
Number of sequences better than 1.0e-02: 1
Number of HSP's gapped: 2
Number of HSP's successfully gapped: 2
Length of query: 362
Length of database: 766
Length adjustment: 35
Effective length of query: 327
Effective length of database: 731
Effective search space:   239037
Effective search space used:   239037
Neighboring words threshold: 11
Window for multiple hits: 40
X1: 16 ( 7.4 bits)
X2: 38 (14.6 bits)
X3: 64 (24.7 bits)
S1: 41 (21.8 bits)
S2: 52 (24.6 bits)

This GapMind analysis is from Sep 24 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