The increase in resolution and taxon sampling of algal phylogenies resulting from the various algal tree of life projects and other initiatives worldwide opens tremendous opportunity to learn more about the evolution of all aspects of algal biology. Using evolutionary modeling techniques in a phylogenetic context, hypotheses about the evolution of particular traits and their interaction with speciation-extinction dynamics become testable. I will illustrate this with three case studies. First, I will investigate the evolution of the thermal niche of seaweeds, showing how it affects latitudinal diversity patterns. Second, I will test the hypothesis that the evolution of cellular trace element requirements (stoichiometry) is dominated by endosymbiosis events. Third, I will investigate the evolution of morphological traits typically used in species-level systematics, focusing on its implications for the prevalence of cryptic diversity. These case studies show the potential and limitations of the approach, and offer new insights in algal evolution from the very recent to the very ancient, and across the various subdisciplines of algal biology.
1. Putting the algal tree of life to use
Evolutionary dynamics of ecological niches, physiology
and species’ diagnostic traits
Heroen Verbruggen
School of Botany, University of Melbourne
3. Algal Tree of Life
• systematics: species delimitation
and higher-level relationships
• phylogenies in evolutionary
enquiry
• endosymbiosis events: patchwork
of genes → accumulation of
genomic features
• examples of phylogenetics
applied in evolutionary questions
12. Thermal niche & diversification
DictyotaTyberghein et al. unpublished
13. Thermal niche evolution
• thermal niches evolve over geological timescales
• microhabitat preferences affect evolvability
• diversification relates to SST and its evolvability
• results are taxon-specific
• scale up to bigger datasets: more species
• harder questions: adaptation, interactions,
timescales
22. Trace element utilization
• results are inconclusive
• support for existing hypotheses is limited
• power to detect differential evolution of continuous
traits is low
• limited effect of increase in taxon sampling
• metalloproteomics approaches
28. Complexity and diagnosability
20 characters
theoretical maximum = 1,048,576
10 characters
theoretical maximum = 1,024
Verbruggen, H. 2014. J. Phycol. 50: 26-31.
• higher complexity more unique morphologies
• # unique morphologies << # species in clade
total # species
#uniquemorphologies
33. Morphological evolution
• # unique morphologies << number of species
• null hypothesis: cryptic diversity abounds
• fundamental inability to distinguish some species
(possibly many) morphologically
• problem more pronounced in simple organisms
• plasticity blurs species boundaries
35. Conclusions
• test evolutionary hypotheses
• insights from parameters
• measure uncertainty
• simulation to study behavior of methods
• simulation to improve expectations
• perspectives: genome dynamics, life
histories, etc.
Verbruggen, Marcelino, Costa (2014) Evolutionary dynamics of algal
traits and diversity. Perspectives in Phycology 1: in press
[available from www.phycoweb.net]