Alignments for a candidate for gadh2 in Herbaspirillum seropedicae SmR1

GapMind for catabolism of small carbon sources

Alignments for a candidate for gadh2 in Herbaspirillum seropedicae SmR1

Align Gluconate 2-dehydrogenase cytochrome c (characterized, see rationale)
to candidate HSERO_RS18760 HSERO_RS18760 cytochrome C

Query= uniprot:A4PIB1
         (441 letters)



>FitnessBrowser__HerbieS:HSERO_RS18760
          Length = 499

 Score =  263 bits (672), Expect = 9e-75
 Identities = 162/429 (37%), Positives = 226/429 (52%), Gaps = 44/429 (10%)

Query: 27  AYAADADLIKRGAYVAVLGDCEACHTAHDGKSLAGGLALQSPLGAIYSTNITPDRDTGIG 86
           A + +A LI+RG Y+A+  DC ACHTA  GK +AGGLA+ SP+G I +TNITP +  GIG
Sbjct: 45  AISPEAALIERGHYLAIASDCIACHTAPRGKPMAGGLAIASPVGEIIATNITPSKTHGIG 104

Query: 87  TWSYEDFARLMRRGIRKDGSSVYPAMPYPSYSKMTDEDLQALYAYLTQGVAPVSLKNRAP 146
            ++ E FA  +RRG+R DG+++YPAMPY +Y+ ++D D+QALYAY  +GVAPV +  R  
Sbjct: 105 NYTEEQFAAALRRGVRADGANLYPAMPYTAYAALSDADVQALYAYFMKGVAPVDVATRPT 164

Query: 147 DIPWLLSARWPLAIWRLLF-APSPAPPLPSAPHDDTSDALVERGRYLVEGPGHCGSCHTP 205
           D+P+ ++ RW +  W  LF    P PP P         A   RGRYL EGP HC +CHTP
Sbjct: 165 DLPFPMNLRWSMKAWNALFLKEQPLPPQPQ------RSAQWLRGRYLAEGPAHCSTCHTP 218

Query: 206 RNFVLAEKVQTAADGPKYLSGGFIVDNWVAPSLRSDDAGGLVGWTPEDIVAFLKTGR-NR 264
           R +++ EK       P     G  V  W AP++ S  + G+  W+ +D+VA+L+TGR   
Sbjct: 219 RGWLMQEK-------PDLQLAGAQVGPWYAPNITSHPSAGIGSWSQDDLVAYLRTGRLEG 271

Query: 265 HGATFGAMNGVITHSTSLTDDHDLAAIAAFLK-----TLGPPPGVSVQAFHYDDTVSRQL 319
                G+M   ITHS S   + DL AIA ++K       G   G   +        +   
Sbjct: 272 RAQAAGSMAEAITHSFSRLTEEDLRAIAVYIKDRPAIATGDAQGSGSRFDQGKAGNALAQ 331

Query: 320 FAGKMPS-------EGARIYVDRCAACHRTDGHG-YPGVFPPLAGNPVLQGPDATSAAHI 371
           F G+  S        GARI+   CA+CH  +G G   G +P L  N    G +A +    
Sbjct: 332 FRGRTLSAESPEEIRGARIFSASCASCHGYNGQGSRDGYYPSLFRNSATAGVNANNLIAT 391

Query: 372 IL--------SGGR--LPGVAAAPSSLVMGSYRDVLDNQQIADLVTFLGQSWGNHGAAMT 421
           IL         GG   +P     P++L      + L N  +A L  +L + +G   A + 
Sbjct: 392 ILYGVDRETEQGGHVFMPPFGDQPNAL------NKLSNADVAALSNYLLKYYGKPAATVK 445

Query: 422 ASQVAKIRQ 430
           A  V  IRQ
Sbjct: 446 AEDVEVIRQ 454



 Score = 38.9 bits (89), Expect = 4e-07
 Identities = 42/138 (30%), Positives = 60/138 (43%), Gaps = 23/138 (16%)

Query: 166 APSPAPPL-PSAPHDDTSDALVERGRYLVEGPGHCGSCHT-PRNFVLAEKVQTAADGPKY 223
           AP+PAP + P A       AL+ERG YL      C +CHT PR   +A  +  A+     
Sbjct: 39  APAPAPAISPEA-------ALIERGHYLAIA-SDCIACHTAPRGKPMAGGLAIASP---- 86

Query: 224 LSGGFIVDNWVAPSLRSDDAGGLVGWTPEDIVAFLKTGRNRHGAT-FGAMNGVITHSTSL 282
                 V   +A ++      G+  +T E   A L+ G    GA  + AM    T   +L
Sbjct: 87  ------VGEIIATNITPSKTHGIGNYTEEQFAAALRRGVRADGANLYPAM--PYTAYAAL 138

Query: 283 TDDHDLAAIAAFLKTLGP 300
           +D    A  A F+K + P
Sbjct: 139 SDADVQALYAYFMKGVAP 156


Lambda     K      H
   0.318    0.135    0.420 

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: 630
Number of extensions: 30
Number of successful extensions: 8
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: 441
Length of database: 499
Length adjustment: 33
Effective length of query: 408
Effective length of database: 466
Effective search space:   190128
Effective search space used:   190128
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: 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