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Related Concept Videos

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Because the DNA segments are cut and reorganized in a direction-specific manner, site-specific recombination has emerged as an efficient genetic engineering technique. Flippase and Cyclization recombinases or Flp and Cre, respectively, are two members of the tyrosine recombinase family derived from bacteriophages, that are used to mediate site-specific DNA insertions, deletions, and targeted expression of proteins in mammalian cell lines.
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Crossing over is the exchange of genetic information between homologous chromosomes during prophase I of meiosis I. Genetic recombination gives rise to allelic diversity in the newly formed daughter cells. In humans, crossing over produces genetically distinct haploid egg and sperm cells that undergo fertilization to produce unique offspring. Before cell division starts, the germ cell’s chromosome(s) undergo duplication in the S phase of the cell cycle. As the cells enter prophase I,...
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Transposons make up a significant part of genomes of various organisms. Therefore, it is believed that transposition played a major evolutionary role in speciation by changing genome sizes and modifying gene expression patterns. For example, in bacteria, transposition can lead to conferring antibiotic resistance. Movement of transposable elements within the genetic pool of pathogenic bacteria can aid in transfer of antibiotic-resistant genetic elements. In eukaryotes, transposons can carry out...
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The basic reaction of homologous recombination (HR) involves two chromatids that contain DNA sequences sharing a significant stretch of identity. One of these sequences uses a strand from another as a template to synthesize DNA in an enzyme-catalyzed reaction. The final product is a novel amalgamation of the two substrates. To ensure an accurate recombination of sequences, HR is restricted to the S and G2 phases of the cell cycle. At these stages, the DNA has been replicated already and the...
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The evolution of new genes is critical for speciation. Exon recombination, also known as exon shuffling or domain shuffling, is an important means of new gene formation. It is observed across vertebrates, invertebrates, and in some plants such as potatoes and sunflowers. During exon recombination, exons from the same or different genes recombine and produce new exon-intron combinations, which might evolve into new genes. 
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Other than maintaining genome stability via DNA repair, homologous recombination plays an important role in diversifying the genome. In fact, the recombination of sequences forms the molecular basis of genomic evolution. Random and non-random permutations of genomic sequences create a library of new amalgamated sequences. These newly formed genomes can determine the fitness and survival of cells. In bacteria, homologous and non-homologous types of recombination lead to the evolution of new...
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tstrait: a quantitative trait simulator for ancestral recombination graphs.

Daiki Tagami1,2, Gertjan Bisschop2, Jerome Kelleher2

  • 1Department of Statistics, University of Oxford, Oxford OX1 3LB, United Kingdom.

Bioinformatics (Oxford, England)
|May 25, 2024
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Summary

We introduce tstrait, a new Python library for simulating quantitative traits directly on ancestral recombination graphs (ARGs). This tool enables efficient phenotype simulation for large-scale genetic datasets, overcoming limitations of existing methods.

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Area of Science:

  • Population genetics
  • Statistical genetics
  • Computational biology

Background:

  • Ancestral recombination graphs (ARGs) are crucial for understanding genetic variation and evolutionary processes.
  • Simulating traits on ARGs is vital for applications like genome-wide association studies (GWAS).
  • Existing methods require exporting large genotype data, losing ancestral information and creating computational challenges for biobank-scale datasets.

Purpose of the Study:

  • To develop user-friendly software for simulating quantitative traits directly from ARGs.
  • To provide a solution for efficient phenotype simulation at biobank scale.
  • To facilitate the application of ARG-based methods in population genetics research.

Main Methods:

  • Development of tstrait, an open-source Python library.
  • Direct simulation of quantitative traits on ARG structures.
  • Testing performance on biobank-scale datasets.

Main Results:

  • tstrait enables rapid simulation of quantitative traits on ARGs.
  • The software efficiently handles biobank-scale datasets on standard hardware.
  • It avoids the need for intermediate genotype data export.

Conclusions:

  • tstrait provides a significant advancement for simulating phenotypes in population genetics.
  • The library democratizes the use of ARGs for large-scale genetic studies.
  • It supports the growing interest in ARG-based analyses for GWAS and related fields.