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Phylogenetic Trees03:21

Phylogenetic Trees

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Phylogenetic trees come in many forms. It matters in which sequence the organisms are arranged from the bottom to the top of the tree, but the branches can rotate at their nodes without altering the information. The lines connecting individual nodes can be straight, angled, or even curved.
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Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
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The genomes of eukaryotes are punctuated by long stretches of sequence which do not code for proteins or RNAs. Although some of these regions do contain crucial regulatory sequences, the vast majority of this DNA serves no known function. Typically, these regions of the genome are the ones in which the fastest change, in evolutionary terms, is observed, because there is typically little to no selection pressure acting on these regions to preserve their sequences.
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Phylogeny is concerned with the evolutionary diversification of organisms or groups of organisms. A group of organisms with a name is called a taxon (singular). Taxa (plural) can span different levels of the evolutionary hierarchy. For instance, the group containing all birds is a taxon (comprising the class Aves), and the group of all species of daisies (the genus Bellis) is a taxon. Phylogenies can likewise include just one genus (i.e., depict species relationships) or span an entire kingdom.
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Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
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Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin
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Challenges in estimating species' age from phylogenetic trees.

Carlos Calderón Del Cid1,2, Torsten Hauffe2, Juan D Carrillo2

  • 1Laboratório de Ecologia Espacial, Instituto de Biologia, Universidade Federal da Bahia, CEP 40170-110, Salvador, Bahia, Brazil.

Global Ecology and Biogeography : a Journal of Macroecology
|January 20, 2025
PubMed
Summary

Estimating species age using phylogenetic branch lengths can be inaccurate due to sampling and extinction. A new birth-death process model improves species age estimation, reducing errors significantly.

Keywords:
evolutionary historyextinction ratesincomplete samplingphylogenysimulationsspeciation modes

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Area of Science:

  • Evolutionary biology
  • Phylogenetics
  • Paleontology

Background:

  • Species age, the time since origination, is crucial for understanding eco-evolutionary dynamics and extinction risk.
  • Traditionally, species ages are estimated from fossil records.
  • Phylogenetic branch lengths are increasingly used to estimate species ages, but this method has limitations.

Purpose of the Study:

  • To investigate the accuracy of using phylogenetic branch lengths for species age estimation.
  • To identify factors that introduce errors in phylogenetic age estimation.
  • To develop a more accurate method for estimating species ages.

Main Methods:

  • Analysis of the relationship between true species age and phylogenetic branch lengths.
  • Modeling the impact of incomplete taxon sampling, extinction, and speciation modes on age estimation.
  • Development and application of a probabilistic birth-death process model for species age estimation.

Main Results:

  • Phylogenetic branch lengths can significantly deviate from true species ages due to incomplete sampling, extinction, and speciation assumptions.
  • Biases in phylogenetic age estimation can lead to erroneous conclusions about eco-evolutionary patterns and extinction risk.
  • The proposed birth-death process model reduces estimation error by an order of magnitude, especially with high extinction and unsampled species.

Conclusions:

  • Caution is advised when interpreting relationships between phylogenetic ages and eco-evolutionary traits.
  • The novel birth-death process approach, combined with branch lengths, provides unbiased approximations of species age under bifurcating speciation.
  • This method offers a more reliable way to estimate species ages, improving ecological and evolutionary inference.