CRISPR (clustered regularly interspaced short palindromic repeats)/Cas (CRISPR-associated) technology is a versatile genome editing tool that has been used to improve agriculturally important plant traits. Due to its precision, CRISPR/Cas9 is more effective than either conventional plant breeding methods or standard genetic engineering approaches for the rapid development of new varieties resilient to climate change. In addition to knowledge in tissue culture-based plant transformation, effective gene-specific single guide RNA (sgRNA) design, prediction of its off-target effect and utilization of vectors, promoters, Cas proteins and terminators is required for CRISPR/Cas9. Various bioinformatics tools are available for the best sgRNA design and screening of the off-targets. Various tools are used in the delivery of CRISPR/Cas components into cells and the genome. Moreover, some recent studies proved the simultaneous silencing of different paralogs in the same family or several genes working in the same pathway by using multiple-target sgRNA designs. This review summarizes the type of promoters, Cas proteins, recognition sequences, and terminators available for the development of knock-out and overexpression plant lines. It also provides a general guideline for the development of genome-edited plants from the design of sgRNAs to the selection of non-transgenic genome-edited T2 generation.

So far, every sequenced bacterial transcriptome encompasses hundreds of small regulatory noncoding RNAs (sRNAs). From those sRNAs that have been already characterized, we learned that their regulatory functions could span over almost every bacterial process, mostly acting at the posttranscriptional control of gene expression (Wagner and Romby, Adv Genet 90:133-208, 2015). Canonical molecular mechanisms of sRNA action have been described to rely on both sequence and/or structural traits of the RNA molecule. As for protein-coding genes, the conservation of sRNAs among species suggests conserved and adjusted functions across evolution. Knowing the phylogenetic distribution of an sRNA gene and how its functional traits have evolved may help to get a broad picture of its biological role in each single species. Here, we present a simple computational workflow to identify close and distant sRNA homologs present in sequenced bacterial genomes, which allows defining novel sRNA families. This strategy is based on the use of Covariance Models (CM) and assumes the conservation of sequence and structure of functional sRNA genes throughout evolution. Moreover, by carefully inspecting the conservation of the close genomic context of every member of the RNA family and how the patterns of microsynteny follow the path of species evolution, it is possible to define subgroups of sRNA orthologs, which in turn enables the definition of RNA subfamilies.

In most eukaryotes, small RNA (sRNA) molecules such as miRNAs, siRNAs and piRNAs regulate gene expression and repress transposons and viruses. AGO/PIWI family proteins sort functional sRNAs based on size, 5\'-nucleotide and other sequence features. In plants and some animals, viral sRNAs are extremely diverse and cover the entire viral genome sequences, which allows for de novo reconstruction of a complete viral genome by deep sequencing and bioinformatics analysis of viral sRNAs. Previously, we have developed a tool MISIS to view and analyze sRNA maps of viruses and cellular genome regions which spawn multiple sRNAs. Here we describe a new release of MISIS, MISIS-2, which enables to determine and visualize a consensus sequence and count sRNAs of any chosen sizes and 5\'-terminal nucleotide identities. Furthermore we demonstrate the utility of MISIS-2 for identification of single nucleotide polymorphisms (SNPs) at each position of a reference sequence and reconstruction of a consensus master genome in evolving viral quasispecies. MISIS-2 is a Java standalone program. It is freely available along with the source code at the website http://www.fasteris.com/apps.