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Related Concept Videos

Eukaryotic Evolution01:24

Eukaryotic Evolution

43.7K
The endosymbiont theory is the most widely accepted theory of eukaryotic evolution; however, its progression is still somewhat debated. According to the nucleus-first hypothesis, the ancestral prokaryote first evolved a membrane to enclose DNA and form the nucleus. Conversely, the mitochondria-first hypothesis suggests that the nucleus was formed after endosymbiosis of mitochondria.
Contrary to the endosymbiont theory, the eukaryote-first hypothesis proposes that the simpler prokaryotic and...
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Gene Evolution - Fast or Slow?02:05

Gene Evolution - Fast or Slow?

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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.
In contrast, regions which code...
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Gene Evolution - Fast or Slow?02:05

Gene Evolution - Fast or Slow?

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Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

7.3K
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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Microbial Phylogeny01:28

Microbial Phylogeny

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Understanding the evolutionary relationships among microorganisms is fundamental to microbial ecology and taxonomy. Phylogenetic trees are essential tools for inferring these relationships, relying primarily on comparative analyses of molecular sequences such as DNA, RNA, or proteins. In microbial studies, these trees typically depict the evolutionary paths of diverse bacterial and archaeal species by mapping genetic differences accumulated over time.Phylogenetic trees are composed of tips,...
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Synteny and Evolution02:31

Synteny and Evolution

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John H. Renwick first coined the term “synteny” in 1971, which refers to the genes present on the same chromosomes, even if they are not genetically linked. The species with common ancestry tend to show conserved syntenic regions. Therefore, the concept of synteny is nowadays used to describe the evolutionary relationship between species.
Around 80 million years ago, the human and mice lineages diverged from the common ancestor. During the course of evolution, the ancestral...
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Updated: Apr 4, 2026

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin
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Probabilistic models of eukaryotic evolution: time for integration.

Nicolas Lartillot1

  • 1Laboratoire de Biométrie et Biologie Evolutive, UMR CNRS 5558, Université Claude Bernard Lyon 1, F-69622 Villeurbanne Cedex, France nicolas.lartillot@univ-lyon1.fr.

Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences
|September 2, 2015
PubMed
Summary
This summary is machine-generated.

Understanding eukaryotic macroevolutionary history requires advanced statistical methods. Integrative models are emerging to address complex gene family evolution and phylogenetic relationships, though further development is needed.

Keywords:
Bayesian inferenceMonte Carlogene/species tree reconciliation methodsintegrative modelsnon-parametricphylogenomics

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Area of Science:

  • Evolutionary Biology
  • Genomics
  • Computational Biology

Background:

  • The macroevolutionary history of eukaryotes remains incompletely resolved, particularly regarding phylogenetic relationships and gene family evolution.
  • Endosymbiotic events and their impact on sequence evolution present significant challenges to current models.
  • Existing phylogenetic methods, while improved, struggle with the complexities of macroevolutionary processes.

Purpose of the Study:

  • To highlight the need for more powerful statistical paradigms in eukaryotic macroevolutionary studies.
  • To discuss the role of model-based probabilistic approaches in advancing phylogenetic accuracy.
  • To introduce the concept and potential of integrative models for understanding macroevolution.

Main Methods:

  • Application of improved models of sequence evolution accounting for site and lineage heterogeneities.
  • Development and exploration of integrative models that consider multiple levels of macroevolutionary processes.
  • Utilizing probabilistic and statistical frameworks to analyze complex evolutionary data.

Main Results:

  • Model-based approaches have yielded significant improvements in phylogenetic accuracy, though further enhancements are necessary.
  • Recent trends indicate a shift towards integrative models that capture the interplay of various macroevolutionary factors.
  • Current integrative models are in early stages, requiring substantial refinement and computational development.

Conclusions:

  • A fully resolved picture of eukaryotic macroevolution necessitates more sophisticated and integrative modeling approaches.
  • Continued development of statistical methods and computational tools is crucial for advancing our understanding of eukaryotic evolutionary history.
  • Future research should focus on refining integrative models to better account for the multifaceted nature of macroevolutionary processes.