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Related Concept Videos

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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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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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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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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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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The Fossil Record02:56

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The fossil record documents only a small fraction of all organisms that have ever inhabited Earth. Fossilization is a rare process, and most organisms never become fossils. Moreover, the fossil record only exhibits fossils that have been discovered. Nevertheless, sedimentary rock fossils of long-lived, abundant, hard-bodied organisms dominate the fossil record. These fossils offer valuable information, such as an organism's physical form, behavior, and age. Studying the fossil record helps...
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Related Experiment Video

Updated: Jul 6, 2025

Primer Extension Capture: Targeted Sequence Retrieval from Heavily Degraded DNA Sources
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Dating ancient splits in phylogenetic trees, with application to the human-Neanderthal split.

Keren Levinstein Hallak1, Saharon Rosset2

  • 1Department of Statistics and Operations Research, School of Mathematical Sciences, Tel-Aviv University, Tel-Aviv, 6997801, Israel.

BMC Genomic Data
|January 3, 2024
PubMed
Summary
This summary is machine-generated.

We developed new methods to estimate the Time to Most Recent Common Ancestor (TMRCA) for species using genome data and phylogenetic trees. Our approach is faster and more accurate than existing tools, providing updated TMRCA estimates for Neanderthals and chimpanzees.

Keywords:
Ancient humansBEAST2ChimpanzeeDenisovanDivergence timesMitochondrial DNA (mtDNA)NeanderthalPoisson parityTime to most recent common ancestor (TMRCA)Transition rates

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Area of Science:

  • Genomics
  • Evolutionary Biology
  • Computational Biology

Background:

  • Estimating species Time to Most Recent Common Ancestor (TMRCA) is crucial for understanding evolutionary history.
  • Existing methods often require reconstructing complex phylogenetic trees for each analysis.
  • Accurate TMRCA estimation relies on understanding genetic mutation rates and patterns.

Purpose of the Study:

  • To develop novel, accurate, and efficient estimators for species TMRCAs.
  • To leverage existing, large-scale phylogenetic trees for TMRCA estimation.
  • To provide updated TMRCA estimates for hominin and great ape lineages.

Main Methods:

  • Developed multiple estimators based on Poisson distributed transitions and observed parity.
  • Utilized transition statistics from the human mitochondrial DNA (mtDNA) phylogenetic tree (Phylotree).
  • Simulated data using mtDNA substitution statistics to mimic real-world rates.

Main Results:

  • Proposed estimators demonstrated high accuracy across a wide range of TMRCAs.
  • Outperformed the widely-used BEAST2 software in both accuracy and speed.
  • Applied to Neanderthal, Denisovan, and Chimpanzee mtDNA, yielding later TMRCA estimates than previously reported.

Conclusions:

  • The new methods offer a significant improvement over existing tools like BEAST2, especially for deep divergences.
  • Eliminates the need for de novo tree reconstruction for TMRCA estimation.
  • Updated TMRCA estimates suggest later divergence times for Neanderthals and chimpanzees relative to modern humans.