Genome Engineering for Crop Improvement. Группа авторов
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is increasing owing to improvement in grain‐processing techniques, environmental variations and consumers’ preferences. The breeding to develop semi‐dwarf cultivars and hybrids of various crops have markedly increased production with a compromise on quality. The advancement in genomics studies for grain quality has further improved the understanding of genes and biosynthesis pathways controlling essential features of grain quality. The complex network of genes controlling quality attributes can be resolved by understanding functional and comparative genomics of major genes and their faithful introgression across cultivars. The targeted mutagenesis through the CRISPR/Cas system has been successfully adopted in several crops (Fiaz et al. 2019) for traits including biotic and abiotic stresses, yield and quality improvement. The series of published articles on the following system is considered as proof of concept describing the application of CRISPR/Cas system for the knockout of genes controlling desirable phenotypes. A generalized protocol for the application of CRISPR/Cas system in several crop species has been described with the potential to be employed for improvement of quality of important crops (Figure 3.2).
Table 3.1 Online platform for tools of CRISPR/Cas system.
Source: Extracted from (Bortesi and Fischer 2015; Chira et al. 2017).
| sgRNA design platform | Webpage link | References |
|---|---|---|
| CRISPR Design | http://crispr.mit.edu | Hsu et al. (2013) |
| E‐CRISP | http://www.e‐crisp.org/E‐CRISP | Heigwer et al. (2014) |
| CRISPR Multi Targeter | http://www.multicrispr.net/basic_input.html | Prykhozhij et al. (2015) |
| sgRNA designer: CRISPRko | http://portals.broadinstitute.org/gpp/public/analysis‐tools/sgrna‐design | Doench et al. (2016) |
| Off‐Spoter | https://cm.jefferson.edu/Off‐Spotter | Pliatsika and Rigoutsos (2015) |
| CCTop | http://crispr.cos.uni‐heidelberg.de/index.html | Stemmer et al. (2015) |
| CHOPCHOP | http://chopchop.cbu.uib.no/index.php | Montague et al. (2014) |
| Plasmid free access | ||
| Add gene | https://www.addgene.org/search/advanced | Bortesi and Fischer (2015) |
| Expert discussion forum | ||
| OXfCRISPR | https://www.dpag.ox.ac.uk/research/liu‐group/liu‐group news/oxfcrispr/ | Bortesi and Fischer (2015) |
3.4.1 Rice
Rice (Oryzasativa L.) is a major cereal and a source of calories and protein to the vast population around the globe. It has a diploid genome (2n = 24); the small genome size makes it a model crop among monocots to investigate for research objectives (Fiaz et al. 2019). It has been reported that approximately, 499.37 million tons of rice was produced around the globe during year 2019 (FAO (Food and Agriculture Organization of The United Nations) Statistics 2017–18). The prime attributes influencing quality include cooking and eating, phytochemicals and micronutrients‐related characters (Lau et al. 2015). People from different ethnic groups and/or geographical regions have different grain‐quality preferences (Sabouri et al. 2012). Rice of premium quality like Indian basmati and Thai Jasmine are highly valued due to their typical aroma during cooking (Ferrero 2004). Rice grain quality parameters are very complex and easily affected by the environment. The key components which have impact on grain quality are (i) appearance quality (ii) milling quality (iii) eating‐cooking quality and (iv) nutritional quality which are further divided into many other categories (Lou et al. 2009). From the last few years, much research has demonstrated the successful application of CRISPR‐based targeted mutagenesis approach in rice to make efficient and reliable crop quality improvement.
Figure 3.1 Comparison of Gets. Classical methods include natural mutation via hybridization, induced mutation via physical agents (ultra violet; x‐ray and light), benzene analogs and chemical methods (nitrous acid). Site‐specific genome targeting technologies; (a) protein‐dependent DNA cleavage system TALE and ZFN (b) RNA‐dependent DNA cleavage, e.g. CRISPR‐Cas system (c) random mutation via error‐prone NHEJ or targeted mutation via error‐free HR. These approaches achieve genomic modification by inserting, deleting, or replacing targeted DNA sequence.
Source: Modified from Zhang et al. (Zhang et al. 2017).
Figure 3.2 The basic scheme of CRISPR/Cas system (Fiaz et al. 2019). (1a) Promoter fused with cas9 (1b) Promoter fused with sgRNA (2) Selection of target site from gene under investigation (3) tracrRNA hybridize and join the Cas9 (4) Cas9 vector containing gRNA attached with target sequence (5) Vector transformation; Detection of mutation and selection of desirable mutant plants (6) The mutant screening to get t‐DNA free plants and further analysis of phenotype in mutant plants.
Source: Modified from Fiaz et al. (Fiaz et al. 2019).
3.4.1.1