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Variations in metabolic pathways create challenges for automated metabolic reconstructions: Examples from the tetrahydrofolate synthesis pathway
- Source :
- Computational and Structural Biotechnology Journal, Computational and Structural Biotechnology Journal, Vol 10, Iss 16, Pp 41-50 (2014)
- Publication Year :
- 2014
-
Abstract
- The availability of thousands of sequenced genomes has revealed the diversity of biochemical solutions to similar chemical problems. Even for molecules at the heart of metabolism, such as cofactors, the pathway enzymes first discovered in model organisms like Escherichia coli or Saccharomyces cerevisiae are often not universally conserved. Tetrahydrofolate (THF) (or its close relative tetrahydromethanopterin) is a universal and essential C1-carrier that most microbes and plants synthesize de novo. The THF biosynthesis pathway and enzymes are, however, not universal and alternate solutions are found for most steps, making this pathway a challenge to annotate automatically in many genomes. Comparing THF pathway reconstructions and functional annotations of a chosen set of folate synthesis genes in specific prokaryotes revealed the strengths and weaknesses of different microbial annotation platforms. This analysis revealed that most current platforms fail in metabolic reconstruction of variant pathways. However, all the pieces are in place to quickly correct these deficiencies if the different databases were built on each other's strengths.
- Subjects :
- lcsh:Biotechnology
Mini Review
Saccharomyces cerevisiae
ved/biology.organism_classification_rank.species
Biophysics
Computational biology
Biology
Bioinformatics
Biochemistry
Genome
chemistry.chemical_compound
Biosynthesis
Structural Biology
lcsh:TP248.13-248.65
Genetics
Model organism
Gene
Non-orthologous displacements
chemistry.chemical_classification
Metabolic reconstruction
ved/biology
Paralogs
Tetrahydromethanopterin
biology.organism_classification
Computer Science Applications
Metabolic pathway
Enzyme
chemistry
Biotechnology
Subjects
Details
- ISSN :
- 20010370
- Volume :
- 10
- Issue :
- 16
- Database :
- OpenAIRE
- Journal :
- Computational and structural biotechnology journal
- Accession number :
- edsair.doi.dedup.....b62a8d2f40146ea9e9a30f013e980a26