Alignments for a candidate for mctC in Mycolicibacterium vanbaalenii PYR-1

GapMind for catabolism of small carbon sources

Alignments for a candidate for mctC in Mycolicibacterium vanbaalenii PYR-1

Align Monocarboxylic acid transporter (characterized)
to candidate WP_011781716.1 MVAN_RS22925 cation acetate symporter

Query= SwissProt::Q8NS49
         (551 letters)



>NCBI__GCF_000015305.1:WP_011781716.1
          Length = 543

 Score =  701 bits (1809), Expect = 0.0
 Identities = 362/548 (66%), Positives = 440/548 (80%), Gaps = 6/548 (1%)

Query: 4   TILLAQDAVSEGVGNPILNISVFVVFIIVTMTVVLRVGKSTSESTDFYTGGASFSGTQNG 63
           T LLAQ   +E +GNP+ NI +F +F++VTM VV+R  K  + + +F+TGG  FSG QNG
Sbjct: 2   TTLLAQ---TETIGNPVANIGIFSLFVVVTMIVVIRASKRNATADEFFTGGRGFSGPQNG 58

Query: 64  LAIAGDYLSAASFLGIVGAISLNGYDGFLYSIGFFVAWLVALLLVAEPLRNVGRFTMADV 123
           +AIAGDYLSAASFLGI GAI++ GYDGFLYSIGF VAWLVALLLVAE LRN GRFTMADV
Sbjct: 59  IAIAGDYLSAASFLGIAGAIAVYGYDGFLYSIGFLVAWLVALLLVAELLRNTGRFTMADV 118

Query: 124 LSFRLRQKPVRVAAACGTLAVTLFYLIAQMAGAGSLVSVLLDIHEFKWQAVVVGIVGIVM 183
           LSFRL+Q+PVR+AAA  TL V+LFYL+AQMAGAG LV++LLDI+    Q+VV+ +VG++M
Sbjct: 119 LSFRLKQRPVRLAAATNTLTVSLFYLLAQMAGAGGLVALLLDINSRTGQSVVIAVVGVLM 178

Query: 184 IAYVLLGGMKGTTYVQMIKAVLLVGGVAIMTVLTFVKVSGGLTTLLNDAVEKHAASDYAA 243
           I YVL+GGMKGTT+VQ+IKAVLL+ G   MTV+   K     + +L  A    + S    
Sbjct: 179 IVYVLVGGMKGTTWVQIIKAVLLIAGAGFMTVMVLAKFGMNFSEILGSAQSAISGSTTTG 238

Query: 244 TKGYDPTQILEPGLQYGATLTTQLDFISLALALCLGTAGLPHVLMRFYTVPTAKEARKSV 303
             G D   +L PG QYG +LT+Q++FISLA+AL LGTAGLPHVLMRFYTVPTAKEAR+SV
Sbjct: 239 VAGRD---VLAPGAQYGGSLTSQINFISLAIALVLGTAGLPHVLMRFYTVPTAKEARRSV 295

Query: 304 TWAIVLIGAFYLMTLVLGYGAAALVGPDRVIAAPGAANAAAPLLAFELGGSIFMALISAV 363
            WAI LIGAFYL TLVLGYGAAALVGPDR++ A G  N+AAPLLAFELGG + + +ISAV
Sbjct: 296 VWAIALIGAFYLFTLVLGYGAAALVGPDRILGAAGGVNSAAPLLAFELGGVVLLGVISAV 355

Query: 364 AFATVLAVVAGLAITASAAVGHDIYNAVIRNGQSTEAEQVRVSRITVVVIGLISIVLGIL 423
           AFAT+LAVVAGL ITASA+  HDIY +V+++ + TEAEQVRVSRIT VV+G+++I LGIL
Sbjct: 356 AFATILAVVAGLTITASASFAHDIYASVMKSHKVTEAEQVRVSRITAVVLGVLAIGLGIL 415

Query: 424 AMTQNVAFLVALAFAVAASANLPTILYSLYWKKFNTTGAVAAIYTGLISALLLIFLSPAV 483
           A  QN+AFLVALAFAVAA+ANLPTI+YSLYW++FNT GA+ ++Y GLIS ++LI  SPAV
Sbjct: 416 ANGQNIAFLVALAFAVAAAANLPTIIYSLYWRRFNTRGALWSMYGGLISTIVLIVFSPAV 475

Query: 484 SGNDSAMVPGADWAIFPLKNPGLVSIPLAFIAGWIGTLVGKPDNMDDLAAEMEVRSLTGV 543
           SG+ +AM+PGAD+A FPL NPG+VSIPLAFI G +GTL    D    +AAEMEVRSLTG+
Sbjct: 476 SGSKTAMIPGADFAWFPLANPGIVSIPLAFILGIVGTLTSPDDEDPKVAAEMEVRSLTGI 535

Query: 544 GVEKAVDH 551
           G EKAV H
Sbjct: 536 GAEKAVAH 543


Lambda     K      H
   0.324    0.138    0.393 

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: 774
Number of extensions: 26
Number of successful extensions: 2
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: 551
Length of database: 543
Length adjustment: 36
Effective length of query: 515
Effective length of database: 507
Effective search space:   261105
Effective search space used:   261105
Neighboring words threshold: 11
Window for multiple hits: 40
X1: 15 ( 7.0 bits)
X2: 38 (14.6 bits)
X3: 64 (24.7 bits)
S1: 40 (21.5 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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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