Alignments for a candidate for iatA in Moritella dasanensis ArB 0140

GapMind for catabolism of small carbon sources

Alignments for a candidate for iatA in Moritella dasanensis ArB 0140

Align Inositol transport ATP-binding protein IatA, component of The myoinositol (high affinity)/ D-ribose (low affinity) transporter IatP/IatA/IbpA. The structure of IbpA with myoinositol bound has been solved (characterized)
to candidate WP_017221119.1 A923_RS0107850 ribose ABC transporter ATP-binding protein RbsA

Query= TCDB::B8H229
         (515 letters)



>NCBI__GCF_000276805.1:WP_017221119.1
          Length = 501

 Score =  384 bits (985), Expect = e-111
 Identities = 212/495 (42%), Positives = 316/495 (63%), Gaps = 11/495 (2%)

Query: 3   LLDVSQVSKSFPGVRALDQVDLVVGVGEVHALLGENGAGKSTLIKILSAAHAADAGTVTF 62
           +L +S + KSFPGV+ALD   L V  G+V ALLGENGAGKSTL+K+L+  +  D G++ +
Sbjct: 5   ILKLSGIEKSFPGVKALDNACLNVYPGKVMALLGENGAGKSTLMKVLTGIYHMDKGSINY 64

Query: 63  AGQVLDPRDAPLRRQQLGIATIYQEFNLFPELSVAENMYLGREPRR-LGLVDWSRLRADA 121
            G  +   D P   Q++GI+ I+QE NL PEL++AEN+YLGRE     G + W+++ ADA
Sbjct: 65  QGSDVT-FDGPRHSQEVGISIIHQELNLIPELTIAENIYLGRETTNAFGGIKWTQMFADA 123

Query: 122 QALLNDLGLPLNPDAPVRGLTVAEQQMVEIAKAMTLNARLIIMDEPTAALSGREVDRLHA 181
            ALL  L +  +    +  L++ EQQMVEIAKA++  +++I+MDEPT AL+  E   L  
Sbjct: 124 DALLQRLNVKHSSRQLLGELSLGEQQMVEIAKALSFKSQVIVMDEPTDALTESETKSLFK 183

Query: 182 IIAGLKARSVSVIYVSHRLGEVKAMCDRYTVMRDGRFVASGDVADVEVADMVRLMVGRHV 241
           +I  L+     ++Y+SHRL E+  +CD  TV+RDG+F+A   V D++   ++  MVGR +
Sbjct: 184 VINELRNEGCGIVYISHRLKEIFEICDDITVLRDGKFIAEIAVTDIDEDGLIEKMVGRRL 243

Query: 242 EFERRKRRRPPGAVVLKVEGVTPAAPRLSAPGYLRQVSFAARGGEIVGLAGLVGAGRTDL 301
           +    +     G + L+VE +        APG +R VSF    GEI+G++GL+GAGRT+L
Sbjct: 244 DEIYPRIDAKHGTLCLEVENIV-------APG-VRDVSFTLDHGEILGISGLMGAGRTEL 295

Query: 302 ARLIFGADPIAAGRVLVDDKPLRLRSPRDAIQAGIMLVPEDRKQQGCFLDHSIRRNLSLP 361
            + I+GA P  +G V++DDK +   +PRD +  GI  + EDRK  G  L  S++ N+SL 
Sbjct: 296 MKAIYGALPRQSGDVILDDKVVSPITPRDGLANGIAYISEDRKGDGLILGLSVKENMSLC 355

Query: 362 SLKALSALGQWVDERAERDLVETYRQKLRIKMADAETAIGKLSGGNQQKVLLGRAMALTP 421
           +L ALS  G  +D   E   VE + ++  +K    +  IG LSGGNQQKV + + +   P
Sbjct: 356 ALDALSK-GLQLDHAKEATAVEDFMRQFNVKTPSRDQIIGNLSGGNQQKVAIAKGLMTRP 414

Query: 422 KVLIVDEPTRGIDIGAKAEVHQVLSDLADLGVAVVVISSELAEVMAVSDRIVVFREGVIV 481
           KVLI+DEPTRG+D+GAK E++Q+++     G++++++SSE+ EV+ +SDRI+V  EG I 
Sbjct: 415 KVLILDEPTRGVDVGAKKEIYQLINQFKAEGMSIILVSSEMPEVLGMSDRILVMHEGRIS 474

Query: 482 ADLDAQTATEEGLMA 496
            +  A  A +E LMA
Sbjct: 475 GEFMAADANQEKLMA 489



 Score = 86.7 bits (213), Expect = 2e-21
 Identities = 61/245 (24%), Positives = 121/245 (49%), Gaps = 13/245 (5%)

Query: 256 VLKVEGVTPAAPRLSAPGYLRQVSFAARGGEIVGLAGLVGAGRTDLARLIFGADPIAAGR 315
           +LK+ G+  + P + A   L         G+++ L G  GAG++ L +++ G   +  G 
Sbjct: 5   ILKLSGIEKSFPGVKA---LDNACLNVYPGKVMALLGENGAGKSTLMKVLTGIYHMDKGS 61

Query: 316 VLVDDKPLRLRSPRDAIQAGIMLVPEDRKQQGCFLDHSIRRNLSLPSLKALSALG--QWV 373
           +      +    PR + + GI ++    ++     + +I  N+ L   +  +A G  +W 
Sbjct: 62  INYQGSDVTFDGPRHSQEVGISII---HQELNLIPELTIAENIYL-GRETTNAFGGIKWT 117

Query: 374 DERAERDLVETYRQKLRIKMADAETAIGKLSGGNQQKVLLGRAMALTPKVLIVDEPTRGI 433
              A+ D +    Q+L +K +  +  +G+LS G QQ V + +A++   +V+++DEPT  +
Sbjct: 118 QMFADADAL---LQRLNVKHSSRQL-LGELSLGEQQMVEIAKALSFKSQVIVMDEPTDAL 173

Query: 434 DIGAKAEVHQVLSDLADLGVAVVVISSELAEVMAVSDRIVVFREGVIVADLDAQTATEEG 493
                  + +V+++L + G  +V IS  L E+  + D I V R+G  +A++      E+G
Sbjct: 174 TESETKSLFKVINELRNEGCGIVYISHRLKEIFEICDDITVLRDGKFIAEIAVTDIDEDG 233

Query: 494 LMAYM 498
           L+  M
Sbjct: 234 LIEKM 238



 Score = 75.9 bits (185), Expect = 3e-18
 Identities = 67/234 (28%), Positives = 106/234 (45%), Gaps = 10/234 (4%)

Query: 14  PGVRALDQVDLVVGVGEVHALLGENGAGKSTLIKILSAAHAADAGTVTFAGQVLDPRDAP 73
           PGVR    V   +  GE+  + G  GAG++ L+K +  A    +G V    +V+ P   P
Sbjct: 267 PGVR---DVSFTLDHGEILGISGLMGAGRTELMKAIYGALPRQSGDVILDDKVVSPI-TP 322

Query: 74  LRRQQLGIATIYQEFN---LFPELSVAENMYL-GREPRRLGL-VDWSRLRADAQALLNDL 128
                 GIA I ++     L   LSV ENM L   +    GL +D ++     +  +   
Sbjct: 323 RDGLANGIAYISEDRKGDGLILGLSVKENMSLCALDALSKGLQLDHAKEATAVEDFMRQF 382

Query: 129 GLPL-NPDAPVRGLTVAEQQMVEIAKAMTLNARLIIMDEPTAALSGREVDRLHAIIAGLK 187
            +   + D  +  L+   QQ V IAK +    +++I+DEPT  +       ++ +I   K
Sbjct: 383 NVKTPSRDQIIGNLSGGNQQKVAIAKGLMTRPKVLILDEPTRGVDVGAKKEIYQLINQFK 442

Query: 188 ARSVSVIYVSHRLGEVKAMCDRYTVMRDGRFVASGDVADVEVADMVRLMVGRHV 241
           A  +S+I VS  + EV  M DR  VM +GR       AD     ++   VG+ +
Sbjct: 443 AEGMSIILVSSEMPEVLGMSDRILVMHEGRISGEFMAADANQEKLMACAVGKKI 496


Lambda     K      H
   0.320    0.136    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: 633
Number of extensions: 33
Number of successful extensions: 9
Number of sequences better than 1.0e-02: 1
Number of HSP's gapped: 3
Number of HSP's successfully gapped: 3
Length of query: 515
Length of database: 501
Length adjustment: 34
Effective length of query: 481
Effective length of database: 467
Effective search space:   224627
Effective search space used:   224627
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.

Downloads

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

Related tools

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 2024 update 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