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FIND-IT: Accelerated trait development for a green evolution
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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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American Association for the Advancement of Science
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9401622/ https://www.ncbi.nlm.nih.gov/pubmed/36001660 http://dx.doi.org/10.1126/sciadv.abq2266 |
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author | Knudsen, Søren Wendt, Toni Dockter, Christoph Thomsen, Hanne Cecilie Rasmussen, Magnus Egevang Jørgensen, Morten Lu, Qiongxian Voss, Cynthia Murozuka, Emiko Østerberg, Jeppe Thulin Harholt, Jesper Braumann, Ilka Cuesta-Seijo, Jose A. Kale, Sandip M. Bodevin, Sabrina Tang Petersen, Lise Carciofi, Massimiliano Pedas, Pai Rosager Opstrup Husum, Jeppe Nielsen, Martin Toft Simmelsgaard Nielsen, Kasper Jensen, Mikkel K. Møller, Lillian Ambus Gojkovic, Zoran Striebeck, Alexander Lengeler, Klaus Fennessy, Ross T. Katz, Michael Garcia Sanchez, Rosa Solodovnikova, Natalia Förster, Jochen Olsen, Ole Møller, Birger Lindberg Fincher, Geoffrey B. Skadhauge, Birgitte |
author_facet | Knudsen, Søren Wendt, Toni Dockter, Christoph Thomsen, Hanne Cecilie Rasmussen, Magnus Egevang Jørgensen, Morten Lu, Qiongxian Voss, Cynthia Murozuka, Emiko Østerberg, Jeppe Thulin Harholt, Jesper Braumann, Ilka Cuesta-Seijo, Jose A. Kale, Sandip M. Bodevin, Sabrina Tang Petersen, Lise Carciofi, Massimiliano Pedas, Pai Rosager Opstrup Husum, Jeppe Nielsen, Martin Toft Simmelsgaard Nielsen, Kasper Jensen, Mikkel K. Møller, Lillian Ambus Gojkovic, Zoran Striebeck, Alexander Lengeler, Klaus Fennessy, Ross T. Katz, Michael Garcia Sanchez, Rosa Solodovnikova, Natalia Förster, Jochen Olsen, Ole Møller, Birger Lindberg Fincher, Geoffrey B. Skadhauge, Birgitte |
author_sort | Knudsen, Søren |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9401622 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | American Association for the Advancement of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-94016222022-08-26 FIND-IT: Accelerated trait development for a green evolution Knudsen, Søren Wendt, Toni Dockter, Christoph Thomsen, Hanne Cecilie Rasmussen, Magnus Egevang Jørgensen, Morten Lu, Qiongxian Voss, Cynthia Murozuka, Emiko Østerberg, Jeppe Thulin Harholt, Jesper Braumann, Ilka Cuesta-Seijo, Jose A. Kale, Sandip M. Bodevin, Sabrina Tang Petersen, Lise Carciofi, Massimiliano Pedas, Pai Rosager Opstrup Husum, Jeppe Nielsen, Martin Toft Simmelsgaard Nielsen, Kasper Jensen, Mikkel K. Møller, Lillian Ambus Gojkovic, Zoran Striebeck, Alexander Lengeler, Klaus Fennessy, Ross T. Katz, Michael Garcia Sanchez, Rosa Solodovnikova, Natalia Förster, Jochen Olsen, Ole Møller, Birger Lindberg Fincher, Geoffrey B. Skadhauge, Birgitte Sci Adv Biomedicine and Life Sciences 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. American Association for the Advancement of Science 2022-08-24 /pmc/articles/PMC9401622/ /pubmed/36001660 http://dx.doi.org/10.1126/sciadv.abq2266 Text en Copyright © 2022 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license (https://creativecommons.org/licenses/by-nc/4.0/) , which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited. |
spellingShingle | Biomedicine and Life Sciences Knudsen, Søren Wendt, Toni Dockter, Christoph Thomsen, Hanne Cecilie Rasmussen, Magnus Egevang Jørgensen, Morten Lu, Qiongxian Voss, Cynthia Murozuka, Emiko Østerberg, Jeppe Thulin Harholt, Jesper Braumann, Ilka Cuesta-Seijo, Jose A. Kale, Sandip M. Bodevin, Sabrina Tang Petersen, Lise Carciofi, Massimiliano Pedas, Pai Rosager Opstrup Husum, Jeppe Nielsen, Martin Toft Simmelsgaard Nielsen, Kasper Jensen, Mikkel K. Møller, Lillian Ambus Gojkovic, Zoran Striebeck, Alexander Lengeler, Klaus Fennessy, Ross T. Katz, Michael Garcia Sanchez, Rosa Solodovnikova, Natalia Förster, Jochen Olsen, Ole Møller, Birger Lindberg Fincher, Geoffrey B. Skadhauge, Birgitte FIND-IT: Accelerated trait development for a green evolution |
title | FIND-IT: Accelerated trait development for a green evolution |
title_full | FIND-IT: Accelerated trait development for a green evolution |
title_fullStr | FIND-IT: Accelerated trait development for a green evolution |
title_full_unstemmed | FIND-IT: Accelerated trait development for a green evolution |
title_short | FIND-IT: Accelerated trait development for a green evolution |
title_sort | find-it: accelerated trait development for a green evolution |
topic | Biomedicine and Life Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9401622/ https://www.ncbi.nlm.nih.gov/pubmed/36001660 http://dx.doi.org/10.1126/sciadv.abq2266 |
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