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      OMICs, Epigenetics, and Genome Editing Techniques for Food and Nutritional Security

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          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.

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          Most cited references396

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          Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources.

          DAVID bioinformatics resources consists of an integrated biological knowledgebase and analytic tools aimed at systematically extracting biological meaning from large gene/protein lists. This protocol explains how to use DAVID, a high-throughput and integrated data-mining environment, to analyze gene lists derived from high-throughput genomic experiments. The procedure first requires uploading a gene list containing any number of common gene identifiers followed by analysis using one or more text and pathway-mining tools such as gene functional classification, functional annotation chart or clustering and functional annotation table. By following this protocol, investigators are able to gain an in-depth understanding of the biological themes in lists of genes that are enriched in genome-scale studies.
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            Regression Shrinkage and Selection Via the Lasso

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              A programmable dual-RNA-guided DNA endonuclease in adaptive bacterial immunity.

              Clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated (Cas) systems provide bacteria and archaea with adaptive immunity against viruses and plasmids by using CRISPR RNAs (crRNAs) to guide the silencing of invading nucleic acids. We show here that in a subset of these systems, the mature crRNA that is base-paired to trans-activating crRNA (tracrRNA) forms a two-RNA structure that directs the CRISPR-associated protein Cas9 to introduce double-stranded (ds) breaks in target DNA. At sites complementary to the crRNA-guide sequence, the Cas9 HNH nuclease domain cleaves the complementary strand, whereas the Cas9 RuvC-like domain cleaves the noncomplementary strand. The dual-tracrRNA:crRNA, when engineered as a single RNA chimera, also directs sequence-specific Cas9 dsDNA cleavage. Our study reveals a family of endonucleases that use dual-RNAs for site-specific DNA cleavage and highlights the potential to exploit the system for RNA-programmable genome editing.
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                Author and article information

                Contributors
                Role: Academic Editor
                Journal
                Plants (Basel)
                Plants (Basel)
                plants
                Plants
                MDPI
                2223-7747
                12 July 2021
                July 2021
                : 10
                : 7
                : 1423
                Affiliations
                [1 ]Federal Research Center Kazan Scientific Center of Russian Academy of Sciences, Kazan Institute of Biochemistry and Biophysics, 420111 Kazan, Russia; gvy84@ 123456mail.ru
                [2 ]Federal Research Center Kazan Scientific Center of Russian Academy of Sciences, Laboratory of Plant Infectious Diseases, 420111 Kazan, Russia; ivantsers@ 123456gmail.com
                [3 ]Institute of Biological Sciences, University of Talca, 1 Poniente 1141, Talca 3460000, Chile; sunnyahmar13@ 123456gmail.com (S.A.); morapoblete@ 123456gmail.com (F.M.-P.)
                [4 ]Montana BioAg Inc., Missoula, MT 59802, USA; aniakpinar@ 123456gmail.com (B.A.A.); hikmet.budak@ 123456icloud.com (H.B.)
                [5 ]Laboratory of Cellular and Molecular Mechanisms of Plant Development, Komarov Botanical Institute of the Russian Academy of Sciences, 197376 Saint Petersburg, Russia; akiryushkin@ 123456binran.ru (A.S.K.); demchenko@ 123456binran.ru (K.N.D.)
                [6 ]Centre for Plant Genome Engineering, Institute of Plant Biochemistry, Heinrich-Heine-University, 40225 Dusseldorf, Germany; goetz.hensel@ 123456hhu.de
                [7 ]Centre of the Region Haná for Biotechnological and Agricultural Research, Czech Advanced Technology and Research Institute, Palacký University Olomouc, 78371 Olomouc, Czech Republic
                [8 ]Department of Biological Sciences, University of Lethbridge, Lethbridge, AB T1K 3M4, Canada; igor.kovalchuk@ 123456uleth.ca (I.K.); nsyadava2004@ 123456gmail.com (N.S.Y.)
                [9 ]Faculty of Engineering and Natural Sciences, Sabanci University, 34956 Istanbul, Turkey; tugdem@ 123456sabanciuniv.edu
                [10 ]KWS SAAT SE & Co. KGaA, Grimsehlstr. 31, 37555 Einbeck, Germany
                Author notes
                Author information
                https://orcid.org/0000-0002-2391-2980
                https://orcid.org/0000-0001-6802-2386
                https://orcid.org/0000-0001-6863-7436
                https://orcid.org/0000-0002-2556-2478
                https://orcid.org/0000-0002-5539-3097
                https://orcid.org/0000-0001-9422-3106
                https://orcid.org/0000-0002-4845-3549
                https://orcid.org/0000-0001-7909-9071
                https://orcid.org/0000-0001-7831-4366
                https://orcid.org/0000-0003-0122-173X
                Article
                plants-10-01423
                10.3390/plants10071423
                8309286
                34371624
                26094725-e16f-4801-8351-a63d41846b29
                © 2021 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( https://creativecommons.org/licenses/by/4.0/).

                History
                : 13 May 2021
                : 07 July 2021
                Categories
                Review

                epigenetics,epigenomics,genome sequencing,genomic prediction,omics,plant microbiome,site-directed mutagenesis,transcriptome

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