The importance of phylogenetic model assessment for macroevolutionary inference
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Duchene Garzon, David Alejandro
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Several fields in biology rely on inference of evolutionary
timescales using phylogenetics. As more data become available,
estimates of phylogeny and evolutionary timescales can be used to
answer long-standing questions in biology. Some examples include
the resolution of deep taxonomic relationships or the causes of
geographic gradients in species richness. Importantly, answering
these questions largely depends on phylogenetic and timescale
estimation methods that can reliably recover the molecular
evolutionary process. If the methods used in phylogenetics suffer
from systematic bias, the inferences that are now routinely made
in several fields of biology might be misleading. For this
reason, it is critical to identify the processes that can bias
phylogenetic inference, and to propose solutions that can be used
in practice. In this thesis, I apply empirical tests and
simulation analyses to explore the way that molecular processes
at the level of DNA sequences link with the inference of
phylogeny and evolutionary timescales, and with broad
macroevolutionary and macroecological patterns of biodiversity.
In chapter 2 I use a published estimate of the phylogeny of the
birds to address one of the major questions in biogeography: the
causes of the latitudinal diversity gradient. I find support for
the hypothesis that dispersal across latitudes is limited and
higher latitudes are likely to contain younger clades, such that
they have had less time available to accumulate diversity
compared to tropical clades. Chapter 2 provides an example of the
use of phylogenetic estimates to test hypotheses in
macroevolution. However, macroevolutionary processes themselves
might have an effect on the inference of phylogenetic timescales.
In chapter 3, I use a data set for the plant family Proteaceae to
demonstrate a link between the rate of diversification and the
rate of molecular evolution. I find in chapter 4 that this link
between the rate of diversification and the rate of molecular
evolution could cause systematically biased estimates of
evolutionary timescale. I also find in chapter 5 that
phylogenetic imbalance, a phylogenetic pattern that arises from
variation in macroevolutionary processes across lineages, can
also be a source of systematic bias in estimates of evolutionary
timescales. Finally, in chapter 6 I propose a method to assess
the absolute performance of phylogenetic methods to estimate
evolutionary timescale, as opposed to assessing the relative
performance among methods. In this thesis, I show that despite
the prominence and progress in methods to estimate phylogeny and
evolutionary timescales, there is work to be done towards
accounting for the effect of possible sources of bias. Methods to
assess absolute model performance might provide a fruitful way
forward to improve phylogenetic and evolutionary timescale
estimates. A promising approach for the near future is to use the
regions in the genome that are reasonably described by the
existing models for phylogenetics.
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