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Article Dans Une Revue Molecular Ecology Année : 2022

Analyzing diversification dynamics using barcoding data: the case of an obligate mycorrhizal symbiont

Résumé

Analysing diversification dynamics is key to understanding the past evolutionary history of clades that led to present-day biodiversity patterns. While such analyses are widespread in well-characterized groups of species, they are much more challenging in groups for which diversity is mostly known through molecular techniques. Here, we use the largest global database on the small subunit (SSU) rRNA gene of Glomeromycotina, a subphylum of microscopic arbuscular mycorrhizal fungi that provide mineral nutrients to most land plants by forming one of the oldest terrestrial symbioses, to analyse the diversification dynamics of this clade in the past 500 million years. We perform a range of sensitivity analyses and simulations to control for potential biases linked to the nature of the data. We find that Glomeromycotina tend to have low speciation rates compared to other eukaryotes. After a peak of speciations between 200 and 100 million years ago, they experienced an important decline in speciation rates toward the present. Such a decline could be at least partially related to a shrinking of their mycorrhizal niches and to their limited ability to colonize new niches. Our analyses identify patterns of diversification in a group of obligate symbionts of major ecological and evolutionary importance and illustrate that short molecular markers combined with intensive sensitivity analyses can be useful for studying diversification dynamics in microbial groups.
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hal-03650682 , version 1 (25-04-2022)

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Benoît Perez-Lamarque, Maarja Öpik, Odile Maliet, Ana Afonso Silva, Marc- André Selosse, et al.. Analyzing diversification dynamics using barcoding data: the case of an obligate mycorrhizal symbiont. Molecular Ecology, 2022, ⟨10.1111/mec.16478⟩. ⟨hal-03650682⟩
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