Alignments for a candidate for mmsA in Herbaspirillum seropedicae SmR1

GapMind for catabolism of small carbon sources

Alignments for a candidate for mmsA in Herbaspirillum seropedicae SmR1

Align malonate-semialdehyde dehydrogenase (acetylating) (EC 1.2.1.18) (characterized)
to candidate HSERO_RS15395 HSERO_RS15395 methylmalonate-semialdehyde dehydrogenase

Query= BRENDA::Q9EQ20
         (535 letters)



>FitnessBrowser__HerbieS:HSERO_RS15395
          Length = 506

 Score =  567 bits (1462), Expect = e-166
 Identities = 265/488 (54%), Positives = 358/488 (73%)

Query: 33  SSSSVPTVKLFIDGKFVESKSDKWIDIHNPATNEVVGRVPQSTKAEMDAAVESCKRAFPA 92
           S +++P V L+++G+ V+S S +W D+ NPAT EVV RVP +TK E+D AV + K  F  
Sbjct: 2   SQANIPNVPLYLNGEKVQSTSKEWRDVLNPATQEVVARVPFATKEEVDRAVANAKETFKT 61

Query: 93  WADTSILSRQQVLLRYQQLIKENLKEIARLITLEQGKTLADAEGDVFRGLQVVEHACSVT 152
           W +TS+  R +++L++QQL++EN+  +A LIT E GKTL DAEG+V RGL+VVEHACS+T
Sbjct: 62  WRNTSLAQRMRIMLKFQQLLRENIAPLAELITREHGKTLPDAEGEVMRGLEVVEHACSIT 121

Query: 153 SLMLGETMPSITKDMDLYSYRLPLGVCAGIAPFNFPAMIPLWMFPMAMVCGNTFLMKPSE 212
           SL LGE   ++   +D+Y+   PLGV AGI  FNFP M+P +MFP+A+ CGNTF++KPSE
Sbjct: 122 SLQLGELAENVAGGVDVYTLYQPLGVGAGITAFNFPVMLPCFMFPIAVACGNTFVLKPSE 181

Query: 213 RVPGATMLLAKLLQDSGAPDGTLNIIHGQHDAVNFICDHPDIKAISFVGSNQAGEYIFER 272
           + P +++ L +L   +G P G LN++HG  D  N ICDHPDIKA+SF+GS   G +I+ R
Sbjct: 182 QDPTSSLFLVELANQAGLPPGVLNVVHGGPDVANMICDHPDIKAVSFIGSTHVGTHIYRR 241

Query: 273 GSRNGKRVQANMGAKNHGVVMPDANKENTLNQLVGAAFGAAGQRCMALSTAILVGEAKKW 332
            S  GKR Q  MGAKNH +V+PDA K+  +N L+GAAFGAAGQRCMA S  +LVG+ ++W
Sbjct: 242 ASEAGKRAQCMMGAKNHCIVLPDAPKDQAINNLLGAAFGAAGQRCMANSVVVLVGQTREW 301

Query: 333 LPELVDRAKNLRVNAGDQPGADLGPLITPQAKERVCNLIDSGTKEGASILLDGRRIKVKG 392
           +PE+V+R+K ++V  G    AD+GPL++  AKERV  LI SG ++GA +LLDGR  KV G
Sbjct: 302 IPEIVERSKAMKVGPGTDRKADVGPLVSKAAKERVERLIASGVEQGAKLLLDGRNCKVAG 361

Query: 393 YENGNFVGPTIISNVKPSMTCYKEEIFGPVLVVLETETLDEAIKIVNDNPYGNGTAIFTT 452
            ENGNFVGPT+ + VKP M  Y +EIFGP + ++E +TLDEAI  +N NP GNGT+IFT+
Sbjct: 362 SENGNFVGPTVFTGVKPEMDIYTQEIFGPAMCIVELDTLDEAIAFINANPNGNGTSIFTS 421

Query: 453 NGATARKYAHMVDVGQVGVNVPIPVPLPMFSFTGSRSSFRGDTNFYGKQGIQFYTQLKTI 512
           +G  ARK+ + +DVGQVG+NVPIPVP+  FSFTGSR+S  GD    GKQ + F+TQ KT+
Sbjct: 422 SGYAARKFQNEIDVGQVGINVPIPVPVAYFSFTGSRASKLGDLGPNGKQAVTFWTQTKTV 481

Query: 513 TSQWKEED 520
           T++W   D
Sbjct: 482 TARWYAPD 489


Lambda     K      H
   0.318    0.133    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: 695
Number of extensions: 33
Number of successful extensions: 1
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: 535
Length of database: 506
Length adjustment: 35
Effective length of query: 500
Effective length of database: 471
Effective search space:   235500
Effective search space used:   235500
Neighboring words threshold: 11
Window for multiple hits: 40
X1: 16 ( 7.3 bits)
X2: 38 (14.6 bits)
X3: 64 (24.7 bits)
S1: 41 (21.7 bits)
S2: 52 (24.6 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