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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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Some of Mendel’s crosses examined three pairs of contrasting characteristics. Such a cross is called a trihybrid cross. A trihybrid cross is a combination of three individual monohybrid crosses. For example, plant height (tall vs. short), seed shape (round vs. wrinkled), and seed color (yellow vs. green).
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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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The chi-square test is a statistical hypothesis test. It is used to check whether there is a significant difference between an expected value and an observed value. In the context of genetics, it enables us to either accept or reject a hypothesis, based on how much the observed values deviate from the expected values.
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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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Discrimintion and Mapping of the Primary and Processed Transcripts in Maize Mitochondrion Using a Circular RT-PCR-based Strategy
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Recombination Pattern Characterization via Simulation Using Different Maize Populations.

Wei Ren1, Xiaoping Gong1, Kun Li2

  • 1College of Resources and Environmental Sciences; National Academy of Agriculture Green Development; Key Laboratory of Plant-Soil Interactions, Ministry of Education, China Agricultural University, Beijing 100193, China.

International Journal of Molecular Sciences
|March 27, 2020
PubMed
Summary

This study introduces a fast simulation method for plant breeding populations, like doubled haploid (DH) and intermated B73 × Mo17 maize (IBM), to predict recombination patterns efficiently. This approach aids in optimizing population construction for genetic improvement strategies.

Keywords:
doubled haploidmaizepopulationrecombinationsimulation

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Area of Science:

  • Plant genetics and breeding
  • Computational biology
  • Genomic analysis

Background:

  • Efficient recombination is crucial for plant breeding and gene cloning.
  • Traditional population construction is slow, labor-intensive, and lacks detailed recombination insights.

Purpose of the Study:

  • To develop a simple, efficient simulation method for population construction.
  • To predict recombination patterns in doubled haploid (DH) and intermated B73 × Mo17 maize (IBM) populations.
  • To optimize population construction for breeders and geneticists.

Main Methods:

  • Developed a simulation method for population construction.
  • Utilized doubled haploid (DH) and intermated B73 × Mo17 maize (IBM) population models.
  • Estimated recombination events and constructed linkage maps for simulated DH and recombination inbred line (RIL) populations.
  • Compared recombination rates across simulated populations of varying types, generations, and origins (including multiparent advanced generation intercross (MAGIC) populations).

Main Results:

  • The simulation method accurately predicted recombination patterns, showing consistency with real populations.
  • Recombination event rates in DH populations were quantified (0, 1, 2, and 3 events at specific rates).
  • Recombination rates in IBM populations ranged from 0 to 12.1 cM per 125 kb.
  • Identified optimal population construction procedures for breeders.

Conclusions:

  • The simulation approach is feasible and effective for predicting recombination patterns.
  • Offers a rapid, cost-effective method for population construction in plant breeding.
  • Has broader implications for population studies and genetic improvement in various crop species.