Distribution fitting 12. Sampling distribution of compounds abundance from plant species measured by instrumentation. Application to plants metabolism classification

TL;DR

This study analyzes the distribution of chemical compound abundances in ten plant species to classify plant metabolism, finding that log-normal distributions best model the data and comparing this classification with phylogenetic methods.

Contribution

It introduces a method for classifying plants based on compound abundance distributions modeled by log-normal fits, offering a new perspective beyond traditional phylogenetic classification.

Findings

Log-normal distribution best fits compound abundance data

Classification based on distribution statistics aligns with phylogenetic classification

Provides a new approach for plant metabolism analysis

Abstract

A series of ten plant species belonging to Magnoliopsida - Dicotyledons class were analyzed in terms of chemical compounds distribution of abundance, starting from the assumption that these distributions should give a picture of similarities and differences between plants metabolism. From a pool of theoretical distributions, log-normal distribution was selected giving the best accuracy with the modeled phenomena and agreement with the observed data. From obtained lognormal distributions statistics a classification were constructed and were compared with the classification based on phylogeny.