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Functional Allele Validation by Gene Editing to Leverage the Wealth of Genetic Resources for Crop Improvement

期刊

出版社

MDPI
DOI: 10.3390/ijms23126565

关键词

CRISPR-Cas9; genome editing; crop biotechnology; genomics; candidate genes; causal variants; allele mining

资金

  1. USDA NIFA [2017-67013-26194, 2022-67013-36210, 2020-67013-31811]
  2. Texas A&M AgriLife Research
  3. Texas AM University
  4. NIFA [2017-67013-26194, 914647] Funding Source: Federal RePORTER

向作者/读者索取更多资源

Advances in molecular technologies have provided more powerful plant breeding approaches, and the establishment of efficient CRISPR-Cas-based gene editing promises to bridge the gap between forward genetics and reverse genetics, and provide a rapid method to functionally validate genes and alleles identified through studies of natural variation.
Advances in molecular technologies over the past few decades, such as high-throughput DNA marker genotyping, have provided more powerful plant breeding approaches, including marker-assisted selection and genomic selection. At the same time, massive investments in plant genetics and genomics, led by whole genome sequencing, have led to greater knowledge of genes and genetic pathways across plant genomes. However, there remains a gap between approaches focused on forward genetics, which start with a phenotype to map a mutant locus or QTL with the goal of cloning the causal gene, and approaches using reverse genetics, which start with large-scale sequence data and work back to the gene function. The recent establishment of efficient CRISPR-Cas-based gene editing promises to bridge this gap and provide a rapid method to functionally validate genes and alleles identified through studies of natural variation. CRISPR-Cas techniques can be used to knock out single or multiple genes, precisely modify genes through base and prime editing, and replace alleles. Moreover, technologies such as protoplast isolation, in planta transformation, and the use of developmental regulatory genes promise to enable high-throughput gene editing to accelerate crop improvement.

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