ArticleBMC genomics2015
The alignment of enzymatic steps reveals similar metabolic pathways and probable recruitment events in Gammaproteobacteria.
Article in BMC genomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 9 citations in OpenAlex.
- Pathogenomic Insights intoAnimals : an open access journal from MDPI · 2025Article
- Exploring the enzymatic repertoires of Bacteria and Archaea and their associations with metabolic maps.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2024Article
- Identifying similarities at metabolic pathways with a strategy of Enzymatic Step Sequences.MethodsX · 2023Article
- Polylactose Exhibits Prebiotic Activity and Reduces Adiposity and Nonalcoholic Fatty Liver Disease in Rats Fed a High-Fat Diet.The Journal of nutrition · 2021Article
- Identification of functional signatures in the metabolism of the three cellular domains of life.PloS one · 2019Article
- Bacterial Community of the Rice Floodwater Using Cultivation-Independent Approaches.International journal of microbiology · 2018Article
- Comparative Pan-Genome Analysis ofFrontiers in cellular and infection microbiology · 2017Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIt is generally accepted that gene duplication followed by functional divergence is one of the main sources of metabolic diversity. In this regard, there is an increasing interest in the development of methods that allow the systematic identification of these evolutionary events in metabolism. Here, we used a method not based on biomolecular sequence analysis to compare and identify common and variable routes in the metabolism of 40 Gammaproteobacteria species.
methodThe metabolic maps deposited in the KEGG database were transformed into linear Enzymatic Step Sequences (ESS) by using the breadth-first search algorithm. These ESS represent subsequent enzymes linked to each other, where their catalytic activities are encoded in the Enzyme Commission numbers. The ESS were compared in an all-against-all (pairwise comparisons) approach by using a dynamic programming algorithm, leaving only a set of significant pairs. RESULTS AND
conclusionFrom these comparisons, we identified a set of functionally conserved enzymatic steps in different metabolic maps, in which cell wall components and fatty acid and lysine biosynthesis were included. In addition, we found that pathways associated with biosynthesis share a higher proportion of similar ESS than degradation pathways and secondary metabolism pathways. Also, maps associated with the metabolism of similar compounds contain a high proportion of similar ESS, such as those maps from nucleotide metabolism pathways, in particular the inosine monophosphate pathway. Furthermore, diverse ESS associated with the low part of the glycolysis pathway were identified as functionally similar to multiple metabolic pathways. In summary, our comparisons may help to identify similar reactions in different metabolic pathways and could reinforce the patchwork model in the evolution of metabolism in Gammaproteobacteria.
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