CRISPR/Cas genome editing in soybean: challenges and new insights to overcome existing bottlenecks.

BACKGROUND: Soybean is a worldwide-cultivated crop due to its applications in the food, feed, and biodiesel industries. Genome editing in soybean began with ZFN and TALEN technologies; however, CRISPR/Cas has emerged and shortly became the preferable approach for soybean genome manipulation since it is more precise, easy to handle, and cost-effective. Recent reports have focused on the conventional Cas9 nuclease, Cas9 nickase (nCas9) derived base editors, and Cas12a (formally Cpf1) as the most commonly used genome editors in soybean. Nonetheless, several challenges in the complex plant genetic engineering pipeline need to be overcome to effectively edit the genome of an elite soybean cultivar. These challenges include (1) optimizing CRISPR cassette design (i.e., gRNA and Cas promoters, gRNA design and testing, number of gRNAs, and binary vector), (2) improving transformation frequency, (3) increasing the editing efficiency ratio of targeted plant cells, and (4) improving soybean crop production. AIM OF REVIEW: This review provides an overview of soybean genome editing using CRISPR/Cas technology, discusses current challenges, and highlights theoretical (insights) and practical suggestions to overcome the existing bottlenecks. KEY SCIENTIFIC CONCEPTS OF REVIEW: The CRISPR/Cas system was discovered as part of the bacterial innate immune system. It has been used as a biotechnological tool for genome editing and efficiently applied in soybean to unveil gene function, improve agronomic traits such as yield and nutritional grain quality, and enhance biotic and abiotic stress tolerance. To date, the efficiency of gRNAs has been validated using protoplasts and hairy root assays, while stable plant transformation relies on Agrobacterium-mediated and particle bombardment methods. Nevertheless, most steps of the CRISPR/Cas workflow require optimizations to achieve a more effective genome editing in soybean plants.

Stabilized Double-Stranded RNA Strategy Improves Cotton Resistance to CBW (Anthonomus grandis).

Cotton is the most important crop for fiber production worldwide. However, the cotton boll weevil (CBW) is an insect pest that causes significant economic losses in infested areas. Current control methods are costly, inefficient, and environmentally hazardous. Herein, we generated transgenic cotton lines expressing double-stranded RNA (dsRNA) molecules to trigger RNA interference-mediated gene silencing in CBW. Thus, we targeted three essential genes coding for chitin synthase 2, vitellogenin, and ecdysis-triggering hormone receptor. The stability of expressed dsRNAs was improved by designing a structured RNA based on a viroid genome architecture. We transformed cotton embryos by inserting a promoter-driven expression cassette that overexpressed the dsRNA into flower buds. The transgenic cotton plants were characterized, and positive PCR transformed events were detected with an average heritability of 80%. Expression of dsRNAs was confirmed in floral buds by RT-qPCR, and the T1 cotton plant generation was challenged with fertilized CBW females. After 30 days, data showed high mortality (around 70%) in oviposited yolks. In adult insects fed on transgenic lines, chitin synthase II and vitellogenin showed reduced expression in larvae and adults, respectively. Developmental delays and abnormalities were also observed in these individuals. Our data remark on the potential of transgenic cotton based on a viroid-structured dsRNA to control CBW.

Validating Internal Control Genes for the Accurate Normalization of qPCR Expression Analysis of the Novel Model Plant Setaria viridis.

Employing reference genes to normalize the data generated with quantitative PCR (qPCR) can increase the accuracy and reliability of this method. Previous results have shown that no single housekeeping gene can be universally applied to all experiments. Thus, the identification of a suitable reference gene represents a critical step of any qPCR analysis. Setaria viridis has recently been proposed as a model system for the study of Panicoid grasses, a crop family of major agronomic importance. Therefore, this paper aims to identify suitable S. viridis reference genes that can enhance the analysis of gene expression in this novel model plant. The first aim of this study was the identification of a suitable RNA extraction method that could retrieve a high quality and yield of RNA. After this, two distinct algorithms were used to assess the gene expression of fifteen different candidate genes in eighteen different samples, which were divided into two major datasets, the developmental and the leaf gradient. The best-ranked pair of reference genes from the developmental dataset included genes that encoded a phosphoglucomutase and a folylpolyglutamate synthase; genes that encoded a cullin and the same phosphoglucomutase as above were the most stable genes in the leaf gradient dataset. Additionally, the expression pattern of two target genes, a SvAP3/PI MADS-box transcription factor and the carbon-fixation enzyme PEPC, were assessed to illustrate the reliability of the chosen reference genes. This study has shown that novel reference genes may perform better than traditional housekeeping genes, a phenomenon which has been previously reported. These results illustrate the importance of carefully validating reference gene candidates for each experimental set before employing them as universal standards. Additionally, the robustness of the expression of the target genes may increase the utility of S. viridis as a model for Panicoid grasses.