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Related Concept Videos

Conservative Site-specific Recombination and Phase Variation02:53

Conservative Site-specific Recombination and Phase Variation

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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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 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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Genetic mapping and genomic selection using recombination breakpoint data.

Shizhong Xu1

  • 1Department of Botany and Plant Sciences, University of California, Riverside, California 92521.

Genetics
|August 28, 2013
PubMed
Summary
This summary is machine-generated.

This study introduces a novel binning method for genomic data analysis, improving quantitative trait locus mapping and genomic selection. Artificial bin analysis enhances prediction accuracy for various rice traits.

Keywords:
GenPredbin genotypegenomic selectioninfinitesimal modelquantitative trait lociriceshared data resources

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Area of Science:

  • Genomics
  • Quantitative Genetics
  • Bioinformatics

Background:

  • Quantitative trait locus (QTL) mapping models struggle with high-density genetic markers.
  • Current statistical methods for high-dimensional genomic data analysis have limitations.
  • Linkage disequilibrium in dense marker data suggests opportunities for dimension reduction.

Purpose of the Study:

  • To develop an alternative approach for genomic data analysis by reducing dimensionality.
  • To improve quantitative trait locus mapping and genomic selection using binned marker data.
  • To compare the effectiveness of natural versus artificial binning strategies.

Main Methods:

  • Inferred recombination breakpoints from high-density markers to create 'bins' as synthetic markers.
  • Applied genetic mapping using all constructed bins simultaneously.
  • Developed a method for creating user-defined (artificial) bins allowing breakpoints within bins.
  • Evaluated prediction accuracy for eight rice traits using both natural and artificial bin data.

Main Results:

  • Binning significantly reduced data dimensionality, enabling simultaneous analysis of genetic effects.
  • Artificial bin data analysis often improved prediction predictability compared to natural bin data.
  • Predictability varied across traits, with one binary trait showing near-perfect predictability.
  • Demonstrated the utility of bin data for genetic mapping and genomic selection in rice.

Conclusions:

  • Binning offers a viable strategy to overcome the bottleneck in high-dimensional genomic data analysis.
  • Artificial binning presents a promising approach for enhancing genomic selection accuracy.
  • This method provides a new direction for genomic data analysis, particularly for QTL mapping and selection.