FIND-IT: Accelerated trait development for a green evolution

Søren Knudsen(Carlsberg Laboratory), Toni Wendt(Carlsberg Laboratory), Christoph Dockter(Carlsberg Laboratory), Hanne Cecilie Thomsen(Carlsberg Laboratory), Magnus Wohlfahrt Rasmussen(Carlsberg Laboratory), Morten Egevang Jørgensen(Carlsberg Laboratory), Qiongxian Lu(Carlsberg Laboratory), Cynthia Voss(Carlsberg Laboratory), Emiko Murozuka(Carlsberg Laboratory), Jeppe Thulin Østerberg(Carlsberg Laboratory), Jesper Harholt(Carlsberg Laboratory), Ilka Braumann(Carlsberg Laboratory), J.A. Cuesta-Seijo(Carlsberg Laboratory), Sandip M. Kale(Carlsberg Laboratory), Sabrina Bodevin(Carlsberg Laboratory), Lise Tang Petersen(Carlsberg Laboratory), Massimiliano Carciofi(Carlsberg Laboratory), Pai Pedas(Carlsberg Laboratory), Jeppe Opstrup Husum(Carlsberg Laboratory), Martin Toft Simmelsgaard Nielsen(Carlsberg Laboratory), Kasper Nielsen(Carlsberg Laboratory), Mikkel K. Jensen(Carlsberg Laboratory), Lillian A. Møller(Carlsberg Laboratory), Zoran Gojković(Carlsberg Laboratory), Alexander Striebeck(Carlsberg Laboratory), Klaus B. Lengeler(Carlsberg Laboratory), Ross T. Fennessy(Carlsberg Laboratory), Michael Katz(Carlsberg Laboratory), Rosa García Sánchez(Carlsberg Laboratory), Natalia Solodovnikova(Carlsberg Laboratory), Jochen Förster(Carlsberg Laboratory), Ole Olsen(Carlsberg Laboratory), Birger Lindberg Møller(University of Copenhagen), Geoffrey B. Fincher(Australian Research Council), Birgitte Skadhauge(Carlsberg Laboratory)
Science Advances
August 24, 2022
Cited by 48Open Access
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Abstract

Improved agricultural and industrial production organisms are required to meet the future global food demands and minimize the effects of climate change. A new resource for crop and microbe improvement, designated FIND-IT (Fast Identification of Nucleotide variants by droplet DigITal PCR), provides ultrafast identification and isolation of predetermined, targeted genetic variants in a screening cycle of less than 10 days. Using large-scale sample pooling in combination with droplet digital PCR (ddPCR) greatly increases the size of low–mutation density and screenable variant libraries and the probability of identifying the variant of interest. The method is validated by screening variant libraries totaling 500,000 barley ( Hordeum vulgare ) individuals and isolating more than 125 targeted barley gene knockout lines and miRNA or promoter variants enabling functional gene analysis. FIND-IT variants are directly applicable to elite breeding pipelines and minimize time-consuming technical steps to accelerate the evolution of germplasm.


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