Speeding up targeted genetic variants detection

Access through your institution Buy or subscribe Now, Søren Knudsen from Carlsberg Research Laboratory, Denmark, and colleagues have developed a high-throughput approach to efficiently

screen large variant populations for targeted identification of single-nucleotide mutations. This tool, designated FIND-IT (Fast Identification of Nucleotide variants by droplet DigITal

PCR), uses high-throughput droplet digital PCR that enables the screening of DNA pools with a high number of individuals. Combined with the pool-and-split sampling strategy, FIND-IT can

narrow down the large genome pool of more than 500,000 individuals to a single pool and then identify the variant of interest in less than 10 days. Utilizing barley as an example, the team

identified more than 125 targeted gene knockout and missense variants, as well as miRNA and promoter gain-of-function mutations, covering genes of crop performance, grain morphology and

grain quality. Knudsen and the team also demonstrated the potential of the application on wheat, yeast (_Saccharomyces cerevisiae_) and bacteria (_Lactobacillus pasteurii_). Efficiently

identifying and incorporating genetic diversity from various plant genetic sources is crucial for developing cultivars. The FIND-IT tool improves the effectiveness and precision of

single-nucleotide mutant identification and has the potential for rapid incorporation of these variants into the breeding pipeline. This method, as well as other technologies such as

transgenesis and CRISPR–Cas9, facilitates efficient trait discovery to breed crops with desired agronomic performances. This is a preview of subscription content, access via your institution

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subscriptions * Read our FAQs * Contact customer support AUTHOR INFORMATION AUTHORS AND AFFILIATIONS * Nature Food https://www.nature.com/natfood/ Yufang Guo Authors * Yufang Guo View author

publications You can also search for this author inPubMed Google Scholar CORRESPONDING AUTHOR Correspondence to Yufang Guo. RIGHTS AND PERMISSIONS Reprints and permissions ABOUT THIS

ARTICLE CITE THIS ARTICLE Guo, Y. Speeding up targeted genetic variants detection. _Nat Food_ 3, 674 (2022). https://doi.org/10.1038/s43016-022-00605-9 Download citation * Published: 19

September 2022 * Issue Date: September 2022 * DOI: https://doi.org/10.1038/s43016-022-00605-9 SHARE THIS ARTICLE Anyone you share the following link with will be able to read this content:

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