Use of metabolomics for the chemotaxonomy of legume-associated Ascochyta and allied genera.

Abstract:

:Chemotaxonomy and the comparative analysis of metabolic features of fungi have the potential to provide valuable information relating to ecology and evolution, but have not been fully explored in fungal biology. Here, we investigated the chemical diversity of legume-associated Ascochyta and Phoma species and the possible use of a metabolomics approach using liquid chromatography-mass spectrometry for their classification. The metabolic features of 45 strains including 11 known species isolated from various legumes were extracted, and the datasets were analyzed using chemometrics methods such as principal component and hierarchical clustering analyses. We found a high degree of intra-species consistency in metabolic profiles, but inter-species diversity was high. Molecular phylogenies of the legume-associated Ascochyta/Phoma species were estimated using sequence data from three protein-coding genes and the five major chemical groups that were detected in the hierarchical clustering analysis were mapped to the phylogeny. Clusters based on similarity of metabolic features were largely congruent with the species phylogeny. These results indicated that evolutionarily distinct fungal lineages have diversified their metabolic capacities as they have evolved independently. This whole metabolomics approach may be an effective tool for chemotaxonomy of fungal taxa lacking information on their metabolic content.

journal_name

Sci Rep

journal_title

Scientific reports

authors

Kim W,Peever TL,Park JJ,Park CM,Gang DR,Xian M,Davidson JA,Infantino A,Kaiser WJ,Chen W

doi

10.1038/srep20192

subject

Has Abstract

pub_date

2016-02-05 00:00:00

pages

20192

issn

2045-2322

pii

srep20192

journal_volume

6

pub_type

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