Alignments for a candidate for fecC in Burkholderia phytofirmans PsJN

GapMind for catabolism of small carbon sources

Alignments for a candidate for fecC in Burkholderia phytofirmans PsJN

Align Fe(3+) dicitrate transport system permease protein FecC; Iron(III) dicitrate transport system permease protein FecC (characterized)
to candidate BPHYT_RS20235 BPHYT_RS20235 iron ABC transporter

Query= SwissProt::P15030
         (332 letters)



>FitnessBrowser__BFirm:BPHYT_RS20235
          Length = 702

 Score =  160 bits (405), Expect = 9e-44
 Identities = 109/320 (34%), Positives = 167/320 (52%), Gaps = 7/320 (2%)

Query: 11  WGLPVAALIIIFWLSLFCYSAIPVSGADATRALLP-GHTPTLPEALVQNLRLPRSLVAVL 69
           W L  +AL+++  + +   ++   +   A R L    H   L   L+ +LRLPR + A+L
Sbjct: 376 WPLTASALVLLGVVLVCAGASFGPTTIGAQRWLAAFDHRDELARMLL-DLRLPRLICALL 434

Query: 70  IGASLALAGTLLQTLTHNPMASPSLLGINSGAALAMALTSALSPTPIAGYS-LSFIAACG 128
            GA LA +G L+Q++  NP+A P +LG+  GA LA    +AL   P+A +S L+  +  G
Sbjct: 435 AGALLAASGVLMQSIVRNPLAGPEVLGVTQGAGLATL--AALVMWPLANHSTLAAASLAG 492

Query: 129 GGVSWLLVMTAGGGFRHTHDRNKLILAGIALSAFCMGLTRITLLLAEDHAYGIFYWLAGG 188
           GG++  L +      RH +    + L GI +      L++  +            WL GG
Sbjct: 493 GGITLALTLLLNR--RHRYAPLAVALTGIVIGTLWTTLSQWLITQQSVQPARFVVWLVGG 550

Query: 189 VSHARWQDVWQLLPVVVTAVPVVLLLANQLNLLNLSDSTAHTLGVNLTRLRLVINMLVLL 248
                W +V  LLP  V A+PV  LLA  L+LL L D  A +LG+ +  LR ++  +  L
Sbjct: 551 TYGRSWGEVTTLLPWCVLALPVFALLARPLDLLALGDDQAASLGLPIGVLRPLVLTVATL 610

Query: 249 LVGACVSVAGPVAFIGLLVPHLARFWAGFDQRNVLPVSMLLGATLMLLADVLARALAFPG 308
              A V+  GPV FIGL+ PHLA        R  L ++   GA ++++AD+ AR L  P 
Sbjct: 611 AACAAVAAVGPVGFIGLMAPHLASMLGARAHRTRLWLAAACGALVLVVADIAARTLLAPR 670

Query: 309 DLPAGAVLALIGSPCFVWLV 328
           ++PAG + ALIG+P  + L+
Sbjct: 671 EIPAGVLTALIGAPYLLALL 690



 Score =  142 bits (359), Expect = 2e-38
 Identities = 110/339 (32%), Positives = 168/339 (49%), Gaps = 32/339 (9%)

Query: 4   IKHPVLLWGLPVAALIIIFWLSLFC-----YSAIPVSGADATRALLPGHTPTLPEALVQN 58
           +K  V   G  + ALI+I  +         + A P +G+DA +         L   L+ +
Sbjct: 24  VKSRVTTIGAALVALIVIVAVMRLAPGFRTWLAAP-TGSDAAQ---------LAGILLFD 73

Query: 59  LRLPRSLVAVLIGASLALAGTLLQTLTHNPMASPSLLGINSGAALAMALTSALSPTPIAG 118
           L +PR L A++ G  LA+AGTL Q+LT NP+ASP LLGI  GA L + L + L P+    
Sbjct: 74  LSVPRILAALVAGGCLAVAGTLFQSLTRNPLASPDLLGITGGAQLGL-LAAMLVPSLAGV 132

Query: 119 YSLSFIAACGGGVSWLLVMTAGGGFRHTHDRNKLILAGIALSAFCMGLTRITLLLAEDHA 178
            S+  + ACG G +   V  A GG+R T  R  L+LAG         LT + L   E   
Sbjct: 133 ASVPLLFACGLGAA-ACVAAAAGGWRATPLR--LVLAGSVCMLLFSALTTLILAFFEQSI 189

Query: 179 YGIFYWLAG-----GVSHARWQDVWQLLPVVVTAVPVVLLLANQLNLLNLSDSTAHTLGV 233
            G+  W +G     G +  +    W +LP++  A+P V+     L+ L L D  A   GV
Sbjct: 190 VGVSLWASGSLYQPGAAGLKIAASWLVLPLI--ALPFVI---RPLDPLALGDDAAAAAGV 244

Query: 234 NLTRLRLVINMLVLLLVGACVSVAGPVAFIGLLVPHLARFWAGFDQRN---VLPVSMLLG 290
            +   RL   ++ +      VSVAGP++++GL+ P+L R   G        ++P+S L+G
Sbjct: 245 RVDATRLAAMVVAVGFASVAVSVAGPLSYVGLIAPNLLRQMRGAKASRLAALVPLSALVG 304

Query: 291 ATLMLLADVLARALAFPGDLPAGAVLALIGSPCFVWLVR 329
             L+L+ D   +AL     L  G  +A +G+P  + ++R
Sbjct: 305 GALVLVTDSAVQALDLDATLSTGVAIAFVGTPLMLAMIR 343


Lambda     K      H
   0.327    0.140    0.436 

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: 663
Number of extensions: 41
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: 332
Length of database: 702
Length adjustment: 34
Effective length of query: 298
Effective length of database: 668
Effective search space:   199064
Effective search space used:   199064
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: 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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Protein sequences (fasta format)
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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