Alignments for a candidate for cstA in Azospirillum brasilense Sp245

GapMind for catabolism of small carbon sources

Alignments for a candidate for cstA in Azospirillum brasilense Sp245

Align Carbon starvation protein A (characterized, see rationale)
to candidate AZOBR_RS18105 AZOBR_RS18105 carbon starvation protein A

Query= uniprot:A0A0C4Y7X7
         (690 letters)



>FitnessBrowser__azobra:AZOBR_RS18105
          Length = 688

 Score =  993 bits (2567), Expect = 0.0
 Identities = 482/678 (71%), Positives = 571/678 (84%)

Query: 1   MNRIGQHLVWLAVAILGAFAFATVALSRGEAVSALWIVVAAICIYLIAYRYYSKFIAEKV 60
           M RI  H  WL +A+LGAFA  TVAL+RGE ++ALW+VVAA+C YL++YRYYS FIA +V
Sbjct: 1   MPRILNHAPWLVLAVLGAFALGTVALARGETINALWLVVAAVCTYLVSYRYYSLFIATRV 60

Query: 61  MQLDPKRMTPAWRHNDGLDYVPTNKAVLFGHHFAAIAGAGPLVGPVLAAQMGYMPGMLWI 120
           M+LDP R TPA RHNDGLDYVPTN+ VLFGHHFAAIAGAGPLVGPVLAAQMGY+PGMLWI
Sbjct: 61  MRLDPARPTPAMRHNDGLDYVPTNQYVLFGHHFAAIAGAGPLVGPVLAAQMGYLPGMLWI 120

Query: 121 LAGVVFAGAVQDFMVLFISTRRDGRSLGDLIKSEMGTVPGMIALFGCFMIMIIILAVLAL 180
           LAGVV AGAVQDFM+LF+S RRDGRSLG+LIK+E+G +PG+IALFG FMIM+IILAVLAL
Sbjct: 121 LAGVVVAGAVQDFMILFVSMRRDGRSLGELIKAELGDIPGVIALFGTFMIMVIILAVLAL 180

Query: 181 IVVKALAGSPWGTFTVGVTIPIALFMGIYTRYIRPGRIGEVSVIGFVLLMLAIIGGQYVH 240
           +VVKAL  SPWG FTV  T+PIALFMGIY R++RPGRIGE+S+IGF LL+ AI+ G  V 
Sbjct: 181 VVVKALTNSPWGFFTVAATVPIALFMGIYMRFLRPGRIGEISIIGFFLLIAAILLGGQVA 240

Query: 241 ESAVLAPLFTYDGKALTWMLIIYGFIAAVLPVWLLLAPRDYLSTFLKIGTIIALAIGILI 300
           +S   AP+FT  G  +TW+LI YGF+A+VLPVWLLLAPRDYLSTFLK+GTI+ LA+ IL+
Sbjct: 241 QSETWAPVFTLTGVQITWILIGYGFVASVLPVWLLLAPRDYLSTFLKVGTIVMLALCILL 300

Query: 301 VAPELKMPAFTQFAKGGGPVWSGNLFPFLFITIACGAVSGFHALISSGTTPKLLESEAHM 360
           VAP +KMP+ T+F  G GPVWSG+LFPFLFITIACGAVSGFHALISSGTTPK++E+E H 
Sbjct: 301 VAPPMKMPSVTRFIDGTGPVWSGSLFPFLFITIACGAVSGFHALISSGTTPKMVENELHT 360

Query: 361 RFIGYGAMLAESFVAIMALVAASVIEPGVYFAMNSPAAVIGTSPESVAQVVSGWGFVITP 420
           RFIGYG ML ESFVA+MALVAAS IEPG+YFAMNSP A++GT+ ES AQV++ WGFVITP
Sbjct: 361 RFIGYGGMLTESFVAVMALVAASCIEPGIYFAMNSPPALLGTTAESAAQVINNWGFVITP 420

Query: 421 DVLIQTAKDVGENSIISRAGGAPTLAVGIAHILHQVVGGQAMMAFWYHFAILFEALFILT 480
           +++ QTA+DVGE SI+SRAGGAPTLAVG+A I  ++ GG+ MMAFWYHFAILFEALFILT
Sbjct: 421 EMITQTAQDVGEVSILSRAGGAPTLAVGMAQIFSELFGGKGMMAFWYHFAILFEALFILT 480

Query: 481 AVDAGTRAGRFMLQDLLGSFVPSFRRTDSLPANLIATALTVSFWGYFLYQGVVDPLGGIN 540
           AVDAGTRAGRFMLQDLLG F    +RT S   NLIAT L V+ WGY LYQGVVDPLGGIN
Sbjct: 481 AVDAGTRAGRFMLQDLLGVFFKPLQRTASWAGNLIATGLCVAAWGYILYQGVVDPLGGIN 540

Query: 541 TLWPLFGISNQMLAAVALVLGTCVLVKMKRGQYAWVTLVPTIWLLICTLTAGWQKLFDAD 600
           T WPLFGISNQMLA +AL+L T VL +MKR +YAWVT+VP  WLLICTLTAG QK+F ++
Sbjct: 541 TFWPLFGISNQMLAGIALILATVVLFRMKRERYAWVTMVPAAWLLICTLTAGVQKVFHSN 600

Query: 601 PKVSFLTHAAKFSDAIAQGKVLAPAKSMEQMHRIVFNDYLDAGLCALFMFVVLSIVFYGF 660
           P + FL HA +FS A  +G++LAPA SMEQM +++FNDYLDA L +LF+ VVL+++ +G 
Sbjct: 601 PAIGFLAHAERFSTAANEGRLLAPATSMEQMRQVIFNDYLDAALASLFVLVVLAVLVFGV 660

Query: 661 KTAMKARAENRPTDRETP 678
            + +KA   +RPT RE P
Sbjct: 661 LSCLKALRSDRPTTREIP 678


Lambda     K      H
   0.328    0.141    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: 1523
Number of extensions: 68
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: 690
Length of database: 688
Length adjustment: 39
Effective length of query: 651
Effective length of database: 649
Effective search space:   422499
Effective search space used:   422499
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 (21.8 bits)
S2: 54 (25.4 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