Aligments for a candidate for dctM in Acidovorax sp. GW101-3H11

GapMind for catabolism of small carbon sources

Aligments for a candidate for dctM in Acidovorax sp. GW101-3H11

Align TRAP C4-dicarboxylate transport system permease, DctM-2 subunit, component of The 2-ketomonocarboxylate transporter (presented in order of affinity - 2-oxovalerate [highest affinity, KD=0.1 μM], 2-oxoisovalerate, 2-oxobutyrate, 2-oxoisocaproate, 2-oxo-3-methylvalerate, pyruvate [lowest affinity, KD=3 μM]) (characterized)
to candidate Ac3H11_3568 TRAP dicarboxylate transporter, DctM subunit, unknown substrate 6

Query= TCDB::D5ATK1
         (611 letters)



>lcl|FitnessBrowser__acidovorax_3H11:Ac3H11_3568 TRAP dicarboxylate
           transporter, DctM subunit, unknown substrate 6
          Length = 594

 Score =  646 bits (1667), Expect = 0.0
 Identities = 346/576 (60%), Positives = 429/576 (74%), Gaps = 29/576 (5%)

Query: 3   MELIAQNMAPIMFVSLIVFLLLGYPVAFSLAANGLVFFIIGVELAPLSGGSINLDWPLLN 62
           ME +  N+APIMF  LI FLL+G+PVAFSL A GL F  IG+EL  L          LL 
Sbjct: 1   MEFLTHNLAPIMFAGLICFLLVGFPVAFSLGACGLFFAFIGIELNVLPEA-------LLQ 53

Query: 63  AMPERFWGVLSNETLLAIPFFTFMGILLEKSGMAEDLLDTIGQLFGPIRGGLAYAVILVG 122
           A+P R +G++ N+TLLAIPFFT MG++LE+SGMAEDLLDTIGQLFGPIRGGLA AVI VG
Sbjct: 54  AVPLRIFGIMQNDTLLAIPFFTLMGLILERSGMAEDLLDTIGQLFGPIRGGLALAVIFVG 113

Query: 123 ALLAATTGVVAASVIAMGLISLPIMLRYGYDRRIASGVIAASGTLAQIIPPSLVLIVLAD 182
           ALLAATTGVVAASVI+MGLISLPIMLRYGYDRR+A+GVIAASGTLAQIIPPSLVLI++AD
Sbjct: 114 ALLAATTGVVAASVISMGLISLPIMLRYGYDRRLAAGVIAASGTLAQIIPPSLVLIIIAD 173

Query: 183 QLGRSVGDMYKGALIPGLVLTGLYMLYVLVMSILRPNSMPALPKEARTLG-----QGVLS 237
           Q+GRSVGDMYKGA +PGL+LTG Y LY++++++ +P  +PA+P EARTL       GV S
Sbjct: 174 QMGRSVGDMYKGAFLPGLMLTGFYALYIILLAVFKPQWVPAIPPEARTLRGDDGKSGVPS 233

Query: 238 FFVAMGIGIA--IFVA----AQH-WLAGTGAAKNAG----ILAASIAVIFVYVMALIDKA 286
             V  GI +A  I+VA    A H W +G    K A     +++    V   +V A I+K 
Sbjct: 234 LLVLTGICVAASIYVAKNMPALHSWWSGETVDKVALDETIVVSMCFGVALAFVAASINKI 293

Query: 287 TGLDRMSHLAQQVIIVLIPPLALIFLVLGTIFLGIATPTEGGAMGAVGALILSAVKKRLS 346
           T +  +S +A++V  VLIPPL LIFLVLGTIFLG+ATPTEGGAMGA+GA I++ ++ RL+
Sbjct: 294 TRMGLLSRVAERVTFVLIPPLLLIFLVLGTIFLGVATPTEGGAMGALGAGIMAIIRGRLT 353

Query: 347 LEVVREALAATTRLSAFVMFILLGARVFSLTFYGVNGHIWVEHLLVSLPGGETGFLIFVS 406
           L ++++A+  TT+LS FV+FIL+GA +F LTF GV+G +WVEHLL  LPGG+ GFLI V+
Sbjct: 354 LSLLKQAITTTTKLSCFVVFILVGATIFGLTFQGVDGPLWVEHLLTGLPGGQLGFLIVVN 413

Query: 407 LLVFFLAFFLDFFELAFIIVPLLVAPAEALGIDLIWFGVILGVNMQTSFMHPPFGFALFF 466
           ++VFFLAFFLDFFEL+FI+VPLL   A  LGIDLIWFGV+L VNMQTSFMHPPFGFALF+
Sbjct: 414 IMVFFLAFFLDFFELSFIVVPLLAPVAHKLGIDLIWFGVLLAVNMQTSFMHPPFGFALFY 473

Query: 467 LRSVAPKVPFLDKVTGKLTEPVKTSQIYWGAVPFVCIQIVMIAVVIAFPQLVMHYKGKPV 526
           LRSVAP   ++DKVT K+  PV T QIYWGA+PF+CIQ++M+ ++IAFP +V     K V
Sbjct: 474 LRSVAPAKEYMDKVTKKMIAPVTTPQIYWGAIPFLCIQLLMVGLIIAFPGIVSSGLDKEV 533

Query: 527 --DVSHVTV----TVPGGIGGGLGGGLGMPGGLGLP 556
             D+  V +    T+PG          GM G    P
Sbjct: 534 AYDLDKVRMEMEATMPGEAAEAADPTAGMEGAAAAP 569


Lambda     K      H
   0.327    0.146    0.437 

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: 1002
Number of extensions: 55
Number of successful extensions: 4
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: 611
Length of database: 594
Length adjustment: 37
Effective length of query: 574
Effective length of database: 557
Effective search space:   319718
Effective search space used:   319718
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 (21.7 bits)
S2: 53 (25.0 bits)

This GapMind analysis is from Sep 17 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, or view the source code.

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