Alignments for a candidate for malK_Ss in Azospirillum brasilense Sp245

GapMind for catabolism of small carbon sources

Alignments for a candidate for malK_Ss in Azospirillum brasilense Sp245

Align MalK, component of Maltose and maltooligosaccharide porter (characterized)
to candidate AZOBR_RS23930 AZOBR_RS23930 methionine ABC transporter ATP-binding protein

Query= TCDB::Q97UG5
         (617 letters)



>FitnessBrowser__azobra:AZOBR_RS23930
          Length = 329

 Score =  201 bits (511), Expect = 4e-56
 Identities = 125/319 (39%), Positives = 181/319 (56%), Gaps = 10/319 (3%)

Query: 9   LKVNELTAGYFNQDGFVIGVTNVNFEVYPNEIFAIAGESGCGKSTLAMAIYGLLKYPGVV 68
           L++ +LT  +   DG V  +  V+  V      A+ GESG GKS   ++  GL+  PG V
Sbjct: 1   LELRDLTTVFPGDDGPVTVIDGVSLAVRAGGTLAVVGESGSGKSMTFLSALGLVAAPGRV 60

Query: 69  LRGHVYLKDKDILSITQEELRKLRMKEFVYVPQFAMDALDPVAKIGDQMMRAAVSH---G 125
            RG V +   DIL    E LR+LR      + Q  + AL+PV  IG+Q++    +H   G
Sbjct: 61  RRGEVRIDGADILHQPPERLRRLRGAVISMIFQDPLTALNPVFTIGEQIVEVLRAHQRIG 120

Query: 126 VNVEEARKL-IKEKLELVDLPYNVVNMYPHELSGGMRQRVVIATSILLNPSLIILDEPTT 184
                AR + +  ++++ D P   V+ YPH+LSGG RQRV+IA +I L+P ++I DEPTT
Sbjct: 121 RTAARARAIELLARVQIPD-PARRVDDYPHQLSGGQRQRVLIAMAIALSPKILIADEPTT 179

Query: 185 GLDVIVQYEILKDLKRIQRQLGVSLVIISHDISMLLMISDRVGIMYAGEIVEIGSKEEII 244
            LDV VQ +IL  L  +Q + G++LV+I+HD+ ++   +D V +MYAG +VE GS EE+ 
Sbjct: 180 ALDVTVQAQILDLLADLQAETGMALVLITHDLGLVAKYADDVAVMYAGRLVETGSMEEVF 239

Query: 245 KRPSHPYTYLLISSLPSL-VKRREKLLSIPGNPPLMLSKVPNSCRFYDRCPFKMEK--CS 301
            RP HPYT  L  S+P L     E+L +I G PP  ++++P  C F  RC     +  C 
Sbjct: 240 TRPRHPYTRALFRSIPRLDGPVDEELPAIEGQPP-NVARLPPGCAFEPRCTVGRGRADCC 298

Query: 302 TLNP-ALGDIMDGHKARCF 319
           T  P  L     GH++ CF
Sbjct: 299 TRRPLPLAGDRSGHRSACF 317



 Score =  149 bits (376), Expect = 2e-40
 Identities = 84/241 (34%), Positives = 138/241 (57%), Gaps = 7/241 (2%)

Query: 377 PINAVNDVSFELKKGTITALVGGSGHGKSTIAKILAGMIQQTS----GKIILLGKDVSEY 432
           P+  ++ VS  ++ G   A+VG SG GKS       G++        G++ + G D+   
Sbjct: 16  PVTVIDGVSLAVRAGGTLAVVGESGSGKSMTFLSALGLVAAPGRVRRGEVRIDGADILHQ 75

Query: 433 GVRNSMWYKENV-QMIFQDPYSSLDPRHTVRWHVERPLLIHKKVSNKDQLLPKIIEVLKN 491
                   +  V  MIFQDP ++L+P  T+   +   L  H+++  +     + IE+L  
Sbjct: 76  PPERLRRLRGAVISMIFQDPLTALNPVFTIGEQIVEVLRAHQRIG-RTAARARAIELLAR 134

Query: 492 VGLKPPEKYLYKYPHELSGGERQRVAIARATAVEPKVLVADEPVSMLDASLRAGILNLIK 551
           V +  P + +  YPH+LSGG+RQRV IA A A+ PK+L+ADEP + LD +++A IL+L+ 
Sbjct: 135 VQIPDPARRVDDYPHQLSGGQRQRVLIAMAIALSPKILIADEPTTALDVTVQAQILDLLA 194

Query: 552 KFK-KNGISILYITHDIATVNYIADEIMVIYKGRIVEKGNTYEVISNPSHEYTKRLIEAV 610
             + + G++++ ITHD+  V   AD++ V+Y GR+VE G+  EV + P H YT+ L  ++
Sbjct: 195 DLQAETGMALVLITHDLGLVAKYADDVAVMYAGRLVETGSMEEVFTRPRHPYTRALFRSI 254

Query: 611 P 611
           P
Sbjct: 255 P 255


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: 483
Number of extensions: 25
Number of successful extensions: 6
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: 617
Length of database: 329
Length adjustment: 33
Effective length of query: 584
Effective length of database: 296
Effective search space:   172864
Effective search space used:   172864
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 (21.7 bits)
S2: 51 (24.3 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
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