Gogolev, Yuri V. and Ahmar, Sunny and Akpinar, Bala Ani and Budak, Hikmet and Kiryushkin, Alexey S. and Gorshkov, Vladimir Y. and Hensel, Goetz and Demchenko, Kirill N. and Kovalchuk, Igor and Mora-Poblete, Freddy and Muslu, Tuğdem and Tsers, Ivan D. and Yadav, Narendra Singh and Korzun, Viktor (2021) Omics, epigenetics, and genome editing techniques for food and nutritional security. Plants, 10 (7). ISSN 2223-7747
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Official URL: https://dx.doi.org/10.3390/plants10071423
Abstract
The incredible success of crop breeding and agricultural innovation in the last century greatly contributed to the Green Revolution, which significantly increased yields and ensures food security, despite the population explosion. However, new challenges such as rapid climate change, deteriorating soil, and the accumulation of pollutants require much faster responses and more effective solutions that cannot be achieved through traditional breeding. Further prospects for increasing the efficiency of agriculture are undoubtedly associated with the inclusion in the breeding strategy of new knowledge obtained using high-throughput technologies and new tools in the future to ensure the design of new plant genomes and predict the desired phenotype. This article provides an overview of the current state of research in these areas, as well as the study of soil and plant microbiomes, and the prospective use of their potential in a new field of microbiome engineering. In terms of genomic and phenomic predictions, we also propose an integrated approach that combines high-density genotyping and high-throughput phenotyping techniques, which can improve the prediction accuracy of quantitative traits in crop species.
Item Type: | Article |
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Uncontrolled Keywords: | Epigenetics; Epigenomics; Genome sequencing; Genomic prediction; Omics; Plant microbiome; Site-directed mutagenesis; Transcriptome |
Divisions: | Faculty of Engineering and Natural Sciences |
Depositing User: | Tuğdem Muslu |
Date Deposited: | 01 Sep 2022 20:23 |
Last Modified: | 01 Sep 2022 20:23 |
URI: | https://research.sabanciuniv.edu/id/eprint/43532 |