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Related Concept Videos

Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

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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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Gene Evolution - Fast or Slow?02:05

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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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Sequencing of the human genome has opened up several best-kept secrets of the genome. Scientists have identified thousands of genome variations that exist within a population. These variations can be a single nucleotide or a larger chromosomal variation.
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Multi-species Conserved Sequences02:51

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Next-generation sequencing technologies have created large genomic databases of a variety of animals and plants. Ever since the human genome project was completed, scientists studied the genome of primates, mammals, and other phylogenetically distant living beings. Such large-scale  studies have provided new insights into the evolutionary relationship between organisms.
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Gene Duplication and Divergence02:37

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The seminal work of Ohno in 1970 popularized the idea of gene duplication and divergence. DNA sequence comparison studies reveal that a large portion of the genes in bacteria, archaebacteria, and eukaryotes was  generated by gene duplication and divergence, indicating its critical role in evolution.
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While every living organism has a genome of some kind (be it RNA, or DNA), there is considerable variation in the sizes of these blueprints. One major factor that impacts genome size is whether the organism is prokaryotic or eukaryotic. In prokaryotes, the genome contains little to no non-coding sequence, such that genes are tightly clustered in groups or operons sequentially along the chromosome. Conversely, the genes in eukaryotes are punctuated by long stretches of non-coding sequence.
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Updated: Jun 14, 2025

Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay EMSA and DNA-affinity Precipitation Assay DAPA
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Massively parallel approaches for characterizing noncoding functional variation in human evolution.

Stephen Rong1, Elise Root1, Steven K Reilly2

  • 1Department of Genetics, Yale University, New Haven, CT, USA.

Current Opinion in Genetics & Development
|September 1, 2024
PubMed
Summary
This summary is machine-generated.

Scientists are uncovering genetic differences that make humans unique and drive global adaptations. New high-throughput methods analyze noncoding DNA, like cis-regulatory elements (CREs), to understand their functional impact on human evolution.

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Following the Dynamics of Structural Variants in Experimentally Evolved Populations
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Area of Science:

  • Genomics
  • Human Evolution
  • Molecular Biology

Background:

  • Genetic differences between humans and primates, and among human populations, are not well understood.
  • Noncoding DNA, particularly cis-regulatory elements (CREs), plays a crucial role in phenotypic variation but is challenging to study.
  • Understanding CREs is key to explaining human uniqueness and global adaptations.

Purpose of the Study:

  • To review recent high-throughput technologies for assessing CRE function and the impact of genetic variation within them.
  • To highlight how these methods are advancing the study of noncoding variation in human evolution.

Main Methods:

  • CRISPR screens to perturb CREs and observe downstream effects on gene expression and phenotypes.
  • Massively parallel reporter assays (MPRAs) to determine the regulatory impact of DNA sequence variants.
  • Machine learning algorithms to predict CRE function directly from DNA sequence.

Main Results:

  • These high-throughput methods enable large-scale functional characterization of CREs and their variants.
  • CRISPR screens, MPRAs, and machine learning significantly enhance the ability to link noncoding variation to phenotypes.
  • The application of these tools across diverse contexts is revolutionizing the study of human evolution.

Conclusions:

  • Recent technological advancements provide powerful tools to dissect the functional roles of CREs and noncoding variation.
  • These approaches are critical for understanding the genetic basis of human uniqueness, adaptations, and evolution.
  • Integrating diverse data from these methods will accelerate discoveries in human genomics and evolutionary biology.