Alignments for a candidate for aapM in Bradyrhizobium sp. BTAi1

GapMind for catabolism of small carbon sources

Alignments for a candidate for aapM in Bradyrhizobium sp. BTAi1

Align AapM, component of General L-amino acid porter; transports basic and acidic amino acids preferentially, but also transports aliphatic amino acids (catalyzes both uptake and efflux) (characterized)
to candidate WP_012043999.1 BBTA_RS18360 amino acid ABC transporter permease

Query= TCDB::Q52814
         (384 letters)



>NCBI__GCF_000015165.1:WP_012043999.1
          Length = 506

 Score =  278 bits (711), Expect = 2e-79
 Identities = 137/233 (58%), Positives = 180/233 (77%), Gaps = 2/233 (0%)

Query: 152 VIAFWLLHGGFGLEVVETPLWGGLMVTLVLSFVGIAVSLPVGILLALGRRSRMPVIRMLC 211
           VIA   L  G GL +V+T LWGG++VTLV+S +GI  S+P+GI LALGRRS +P+IR+  
Sbjct: 275 VIAIMGLDRG-GLPIVDTRLWGGMLVTLVVSVIGIVASMPIGIALALGRRSTIPLIRLFS 333

Query: 212 VTFIEVIRGVPLITVLFMASVMLPLFLPTGWNVDKLLRALIGVSIFTSAYMAEVIRGGLQ 271
           + FIE++RGVPLITVLF A+ MLPLFLP    +D L+RAL+GV++F+ AYMAEVIRGGLQ
Sbjct: 334 IAFIELVRGVPLITVLFFATYMLPLFLPGNMRIDGLVRALVGVALFSGAYMAEVIRGGLQ 393

Query: 272 AIPKGQFEGADSLGLGYWQKTRLIIMPQAIKLVIPSIVNTFIGTFKDTSLVTIIGMFDLL 331
           AIP+GQ E A +LGL +W+ T  I++PQA++ VIP IVN+FI  FKDTSLV+I+ +FDLL
Sbjct: 394 AIPRGQAEAASALGLSWWKTTSFIVLPQALRHVIPGIVNSFISLFKDTSLVSIVALFDLL 453

Query: 332 GIVKLNFSDANWASAVTPITGLIFAGFIFWLFCFGMSRYSGFMERHLDTGHKR 384
           G +K +F+D  WA+  T  TG  F G I+++FCFGMSRYS  +ER L+  H+R
Sbjct: 454 GSLKASFADPVWATPTTAFTGFAFTGLIYFVFCFGMSRYSLLVERRLN-AHRR 505



 Score =  123 bits (309), Expect = 1e-32
 Identities = 113/393 (28%), Positives = 178/393 (45%), Gaps = 57/393 (14%)

Query: 8   FVRTSILAAEPPPPGERGAVAWIRRNLLATPKDVILTILALALIAWAVPHLVNWLFIQAV 67
           F+R  +    P P    G   ++R  LL +P +++LT+++  LI + V   + +L + AV
Sbjct: 9   FIRQDMAGERPAPVKTTGFTGFVRTRLLNSPTNILLTLVSALLIWFTVIPALKFLLVDAV 68

Query: 68  WSGPDRTFCATTLQGGIQPDGWSGACWAFISAKYDQFIFGRYPLGERWRPAIVGILFILL 127
           W G DR  C     G        GACW +++AK+ QF++G YP  ERWR  +   L ++L
Sbjct: 69  WVGKDREACLEQNVGHAV-----GACWPYVTAKFGQFMYGFYPDAERWRVNLTYGLAVVL 123

Query: 128 LVPMLIPSAPRKGLNAILLFAVLPVIAFWLLHG----GFGLEVVETPLWGGLMVTLVLSF 183
           LVP+LIP  P KGLNA L F  LPV+AF+LL+G    GFG+       W    + L    
Sbjct: 124 LVPLLIPRLPAKGLNAGLFFFALPVVAFFLLYGGGLSGFGVS------WTAATLQLFAES 177

Query: 184 VGIAVSLPVGILLALGRRSRMPVIRMLCVTFIEVIRGVPLITVLFMASVMLPLFLPTGWN 243
           V  A     G  L  G  + +PV+ ML       + G  ++ +  +AS+   L  P  W 
Sbjct: 178 VDTA-----GNALVRG-GANLPVVGMLM-----WLLGKLVVLIGMLASL---LIWPLVWV 223

Query: 244 VDKLLRAL------IGVSIFTSAYMAEVIRGGLQAIPKGQFEGADSLGLGYWQKTRLIIM 297
            D+L  +       + ++      +  VI GG +A+       A   G+       L+I 
Sbjct: 224 RDQLQASHQPVWTDLALTAIVVTALVFVIGGGSRALRSVVATAATFAGIA------LVIA 277

Query: 298 PQAIKLVIPSIVNTFI-GTFKDTSLVTIIGMF--------------DLLGIVKL-NFSDA 341
              +      IV+T + G    T +V++IG+                 + +++L + +  
Sbjct: 278 IMGLDRGGLPIVDTRLWGGMLVTLVVSVIGIVASMPIGIALALGRRSTIPLIRLFSIAFI 337

Query: 342 NWASAVTPITGLIFAGFIFWLFCFGMSRYSGFM 374
                V  IT L FA ++  LF  G  R  G +
Sbjct: 338 ELVRGVPLITVLFFATYMLPLFLPGNMRIDGLV 370


Lambda     K      H
   0.330    0.145    0.469 

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: 693
Number of extensions: 34
Number of successful extensions: 3
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: 384
Length of database: 506
Length adjustment: 32
Effective length of query: 352
Effective length of database: 474
Effective search space:   166848
Effective search space used:   166848
Neighboring words threshold: 11
Window for multiple hits: 40
X1: 15 ( 7.1 bits)
X2: 38 (14.6 bits)
X3: 64 (24.7 bits)
S1: 40 (21.8 bits)
S2: 51 (24.3 bits)

This GapMind analysis is from Sep 24 2021. The underlying query database was built on Sep 17 2021.

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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