We investigate the distribution of flavonoid , a major category of plant secondary metabolites, across species. Flavonoid is known to show high species specificity, and was once considered as a chemical marker to understand adaptive evolution and characterization of URLanisms. We investigate the distribution among species using bipartite networks, and find that two heterogeneous distributions are conserved between several families: the power law distributions of the number of flavonoids in a species and the number of shared species of a particular flavonoid. In order to explain the possible origin of the heterogeneity, we propose a simple model with, essentially, a single parameter. As a result, we show that two respective power-law statistics emerge from simple evolutionary mechanisms based on a multiplicative process. These findings provide insights into the evolution of metabolite diversity and characterization of URLanisms that defy genome sequence analysis for different reasons.
We investigate the distribution of flavonoids , a major category of plant secondary metabolites, across species. Flavonoids are known to show high species specificity, and were once considered as chemical markers for understanding adaptive evolution and characterization of URLanisms. We investigate the distribution among species using bipartite networks, and find that two heterogeneous distributions are conserved among several families: the power-law distributions of the number of flavonoids in a species and the number of shared species of a particular flavonoid. In order to explain the possible origin of the heterogeneity, we propose a simple model with, essentially, a single parameter. As a result, we show that two respective power-law statistics emerge from simple evolutionary mechanisms based on a multiplicative process. These findings provide insights into the evolution of metabolite diversity and characterization of URLanisms that defy genome sequence analysis for different reasons.
R
flavonoid
flavonoids
R
Flavonoid is
Flavonoids are
R
was
were
R
a chemical marker to understand
chemical markers for understanding
R
between
among
R
power law
power-law