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Related Concept Videos

Genetic Screens02:46

Genetic Screens

Genetic screens are tools used to identify genes and mutations responsible for phenotypes of interest. Genetic screens help identify individuals or a group of people at risk of developing  genetic diseases and help them with early intervention, targeted therapy, and reproductive options.
Forward genetic screens
Forward or “classical” genetic screens involve creating random mutations in an organism’s DNA using radiation, mutagens, or insertion of additional bases, which result in visible changes...
Pharmacogenomics: Identification of New Drug Targets01:29

Pharmacogenomics: Identification of New Drug Targets

Advances in genomics have profoundly influenced drug discovery by increasing both the speed and accuracy of pharmaceutical development. Pharmacogenomics, which examines how genetic variation influences drug response, facilitates the identification of novel therapeutic targets and enables patient stratification for personalized treatment. These strategies contribute to improved drug efficacy, minimized adverse effects, and more efficient clinical trial design.Mapping genetic differences...
Principles of Pharmacogenetics: Types of Genetic Variants01:27

Principles of Pharmacogenetics: Types of Genetic Variants

The human genome is over 99.9% identical between individuals, yet genetic differences exist at millions of bases. The human genome contains approximately 3 million variant positions per individual, many of which are heterozygous, contributing to genetic diversity and individual traits. Genetic variations include single-nucleotide polymorphisms (SNPs), insertions, deletions, and copy number variations (CNVs).SNPs, the most common variation, involve single-base changes in DNA. These can be...
Pharmacogenetic Phenotypes: Alterations in Pharmacokinetics, Drug Targets and Biologic Milieu01:29

Pharmacogenetic Phenotypes: Alterations in Pharmacokinetics, Drug Targets and Biologic Milieu

Genetic variations significantly influence drug response through pharmacokinetics, receptor interactions, and biologic milieu modifications. Pharmacokinetic alterations impact drug metabolism and clearance, affecting efficacy and toxicity. Variants in drug-metabolizing enzymes, such as CYP2C9 and CYP2C19, alter drug activation and elimination. For example, CYP2C9 loss-of-function variants require lower warfarin doses to prevent excessive bleeding, while CYP2C19 variants reduce clopidogrel...
Exon Recombination02:32

Exon Recombination

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. 
Exon shuffling follows “splice frame rules.” Each exon has three reading...
What is Genetic Engineering?00:49

What is Genetic Engineering?

Overview

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Related Experiment Video

Updated: Jun 22, 2026

Genetic Profiling and Genome-Scale Dropout Screening to Identify Therapeutic Targets in Mouse Models of Malignant Peripheral Nerve Sheath Tumor
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Genome shuffling: Progress and applications for phenotype improvement.

Jixian Gong1, Huijie Zheng1, Zhijun Wu1

  • 1Department of Biochemical Engineering, School of Chemical Engineering and Technology, Key Laboratory of Systems Bioengineering, Ministry of Education, Tianjin University, Tianjin 300072, People's Republic of China.

Biotechnology Advances
|May 26, 2009
PubMed
Summary
This summary is machine-generated.

Genome shuffling is a novel whole genome engineering method for rapid strain improvement. This technology enables complex trait development through recursive protoplast fusion, offering advantages over traditional methods.

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Area of Science:

  • Microbiology
  • Synthetic Biology
  • Biotechnology

Background:

  • Traditional strain improvement methods like rational design and global techniques have limitations for complex phenotypes.
  • Engineering complex cellular phenotypes requires combinatorial approaches for effective strain development.

Purpose of the Study:

  • To present the advantages of genome shuffling as a whole genome engineering technology.
  • To introduce the procedure and summarize applications of genome shuffling for phenotype improvement.
  • To provide future perspectives on the development of genome shuffling.

Main Methods:

  • Genome shuffling utilizes recursive protoplast fusion with multi-parental strains.
  • This method facilitates recombination across the entire genome.
  • It does not require prior genome sequence data or network information.

Main Results:

  • Genome shuffling has been demonstrated as an effective method for strain improvement.
  • This technology aids in the rapid improvement of cellular phenotypes.
  • It provides valuable information regarding complex phenotypes.

Conclusions:

  • Genome shuffling is a powerful and versatile tool for microbial strain development.
  • Its ability to perform whole-genome recombination makes it suitable for engineering complex traits.
  • Future development holds promise for advancing biotechnology and synthetic biology applications.