ArticlePloS one2014
Gene duplication and phenotypic changes in the evolution of mammalian metabolic networks.
Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Identification of Copy Number Variations in Four Horse Breed Populations in South Korea.Animals : an open access journal from MDPI · 2022Article
- Copy Number Variation (CNV): A New Genomic Insight in Horses.Animals : an open access journal from MDPI · 2022Article
- Phosphoglycerate kinase: structural aspects and functions, with special emphasis on the enzyme from Kinetoplastea.Open biology · 2020Review
- Baby Genomics: Tracing the Evolutionary Changes That Gave Rise to Placentation.Genome biology and evolution · 2020Article
- Bovine Genome Database: new annotation tools for a new reference genome.Nucleic acids research · 2020Article
- Inter- and intra-breed genome-wide copy number diversity in a large cohort of European equine breeds.BMC genomics · 2019Article
- Poor feed efficiency in sheep is associated with several structural abnormalities in the community metabolic network of their ruminal microbes.Journal of animal science · 2018Article
- Diet shifts provoke complex and variable changes in the metabolic networks of the ruminal microbiome.Microbiome · 2017Article
- Metabolic network modeling with model organisms.Current opinion in chemical biology · 2017Review
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2 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Metabolic networks attempt to describe the complete suite of biochemical reactions available to an organism. One notable feature of these networks in mammals is the large number of distinct proteins that catalyze the same reaction. While the existence of these isoenzymes has long been known, their evolutionary significance is still unclear. Using a phylogenetically-aware comparative genomics approach, we infer enzyme orthology networks for sixteen mammals as well as for their common ancestors. We find that the pattern of isoenzymes copy-number alterations (CNAs) in these networks is suggestive of natural selection acting on the retention of certain gene duplications. When further analyzing these data with a machine-learning approach, we found that that the pattern of CNAs is also predictive of several important phenotypic traits, including milk composition and geographic range. Integrating tools from network analyses, phylogenetics and comparative genomics both allows the prediction of phenotypes from genetic data and represents a means of unifying distinct biological disciplines.
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