Novel constructs for efficient cloning of sRNA-encoding DNA and uniform silencing of plant genes employing artificial <Emphasis Type="Italic">trans</Emphasis>-acting small interfering RNA

Key message

TAS atasiRNA-producing region swapping used one-step, high efficiency, and high fidelity directional TC-cloning. Uniform silencing was achieved without lethality using miRNA trigger- TAS overexpression fusion cassettes to generate 21-nt atasiRNA.

Abstract

Plant transgenic technologies are very important for basic plant research and biotechnology. Artificial trans-acting small interfering RNA (atasiRNA) represents an attractive platform with certain advantages over other silencing approaches, such as hairpin RNA, artificial microRNA (amiRNA), and virus-induced gene silencing (VIGS). In this study, we developed two types of constructs for atasiRNA-mediated gene silencing in plants. To functionally validate our constructs, we chose TAS1a as a test model. Type 1 constructs had miR173-precursor sequence fused with TAS1a locus driven by single promoter–terminator cassette, which simplified the expression cassette and resulted in uniform gene silencing. Type 2 constructs contained two separate cassettes for miR173 and TAS1a co-expression. The constructs in each type were further improved by deploying the XcmI-based TC-cloning system for highly efficient directional cloning of short DNA fragments encoding atasiRNAs into TAS1a locus. The effectiveness of the constructs was demonstrated by cloning an atasiRNA DNA into the TC site of engineered TAS1a and silencing of CHLORINA 42 (CH42) gene in Arabidopsis. Our results show that the directional TC-cloning of the atasiRNA DNA into the engineered TAS1a is highly efficient and the miR173–TAS1a fusion system provides an attractive alternative to achieve moderate but more uniform gene silencing without lethality, as compared to conventional two separate cassettes for miR173 and TAS locus co-expression system. The design principles described here should be applicable to other TAS loci such as TAS1b, TAS1c, TAS2, or TAS3, and cloning of amiRNA into amiRNA stem-loop.

     

基于烟草瞬时表达体系对amiRNA沉默效果快速有效的预验证

amiRNA(artificial microRNA)作为一种诱导基因发生特异性沉默的技术已在多种植物中应用,但设计出的不同amiRNAs在所转化株系中的沉默效率难以预测,因此对amiRNA载体的沉默效率进行预验证是非常必要的。本实验以丹参(Salvia miltiorrhiza)的1个MYB类转录因子基因SmPAP1的mRNA序列为amiRNA作用对象,并挑选2个经在线软件WMD3(Web MicroRNA Designer)设计的amiRNAs,分别命名为amiRNA1-SmPAP1和amiRNA2-SmPAP1,然后通过农杆菌介导将构建的2个amiRNA载体和SmPAP1过表达植物载体在烟草叶片细胞中进行瞬时共表达。结果显示,amiRNA2的表达丰度约是amiRNA1的2倍;amiRNA2对靶标SmPAP1的沉默效率约是amiRNA1的2.5倍;SmPAP1在mRNA和蛋白水平上均与相应amiRNA的表达水平呈显著负相关。因此,amiRNA在烟草细胞中的瞬时表达可快速、有效地对不同amiRNA沉默效果进行预验证,从而为后续的植物遗传转化研究提供重要参考。     

Functional molecular markers for crop improvement

A tremendous decline in cultivable land and resources and a huge increase in food demand calls for immediate attention to crop improvement. Though molecular plant breeding serves as a viable solution and is considered as “foundation for twenty-first century crop improvement”, a major stumbling block for crop improvement is the availability of a limited functional gene pool for cereal crops. Advancement in the next generation sequencing (NGS) technologies integrated with tools like metabolomics, proteomics and association mapping studies have facilitated the identification of candidate genes, their allelic variants and opened new avenues to accelerate crop improvement through development and use of functional molecular markers (FMMs). The FMMs are developed from the sequence polymorphisms present within functional gene(s) which are associated with phenotypic trait variations. Since FMMs obviate the problems associated with random DNA markers, these are considered as “the holy grail” of plant breeders who employ targeted marker assisted selections (MAS) for crop improvement. This review article attempts to consider the current resources and novel methods such as metabolomics, proteomics and association studies for the identification of candidate genes and their validation through virus-induced gene silencing (VIGS) for the development of FMMs. A number of examples where the FMMs have been developed and used for the improvement of cereal crops for agronomic, food quality, disease resistance and abiotic stress tolerance traits have been considered.     

RNAi分子机制及在植物功能基因组研究中的应用

RNA干涉现象自20世纪90年代被发现以来,现在已逐渐成为分子生物学和细胞生物学研究的有用工具之一,已被广泛应用到植物功能基因组研究和植物品质营养改良中。RNA干涉机制的深入研究以及该技术在植物基因功能分析中的应用,建立了新的功能基因组学研究平台。阐述了RNAi的分子作用机制、基因沉默的主要类型以及该技术在植物功能基因组研究和品质营养改良上的应用。     

Targeting of genomic and negative‐sense strands of viral RNA contributes to antiviral resistance mediated by artificial miRNAs and promotes the emergence of complex viral populations

Technology based on artificial small RNAs, including artificial microRNAs (amiRNAs), exploits natural RNA silencing mechanisms to achieve silencing of endogenous genes or pathogens. This technology has been successfully employed to generate resistance against different eukaryotic viruses. However, information about viral RNA molecules effectively targeted by these small RNAs is rather conflicting, and factors contributing to the selection of virus mutants escaping the antiviral activity of virus‐specific small RNAs have not been studied in detail. In this work, we transformed Nicotiana benthamiana plants with amiRNA constructs designed against the potyvirus plum pox virus (PPV), a positive‐sense RNA virus, and obtained lines highly resistant to PPV infection and others showing partial resistance. These lines have allowed us to verify that amiRNA directed against genomic RNA is more efficient than amiRNA targeting its complementary strand. However, we also provide evidence that the negative‐sense RNA strand is cleaved by the amiRNA‐guided RNA silencing machinery. Our results show that the selection pressure posed by the amiRNA action on both viral RNA strands causes an evolutionary explosion that results in the emergence of a broad range of virus variants, which can further expand in the presence, and even in the absence, of antiviral challenges.     

MIGS: miRNA-induced gene silencing

Gene silencing is an important tool in the study of gene function. Virus-induced gene silencing (VIGS) and hairpin RNA interference (hpRNAi), both of which rely on small interfering RNAs, together with artificial microRNAs (amiRNA), are amongst the most popular methods for reduction of gene activity in plants. However, all three approaches have limitations. Here, we introduce miRNA-induced gene silencing (MIGS). This method exploits a special 22-nucleotide miRNA of Arabidopsis thaliana, miR173, which can trigger production of another class of small RNAs called trans-acting small interfering RNAs (tasiRNAs). We show that fusion of gene fragments to an upstream miR173 target site is sufficient for effective silencing of the corresponding endogenous gene. MIGS can be reliably used for the knockdown of a single gene or of multiple unrelated genes. In addition, we show that MIGS can be applied to other species by co-expression of miR173.     

Transient expression of artificial microRNAs targeting Grapevine fanleaf virus and evidence for RNA silencing in grapevine somatic embryos

Grapevines are affected worldwide by viruses that compromise fruit yield and quality. Grapevine fanleaf virus (GFLV) causes fanleaf degeneration disease, a major threat to grapevine production. Transgenic approaches exploiting the RNA silencing machinery have proven suitable for engineering viral resistance in several crop species. However, the artificial microRNA (amiRNA)-based strategy has not yet been reported in grapevine. We developed two amiRNA precursors (pre-amiRNAs) targeting the coat protein (CP) gene of GFLV and characterised their functionality in grapevine somatic embryos. To create these pre-amiRNAs, natural pre-miR319a of Arabidopsis thaliana was modified by overlapping PCR in order to replace miR319a with two amiRNAs targeting different regions of the CP gene: amiR^CP-1 or amiR^CP-2. Transient expression of these two pre-amiRNA constructs was tested in grapevine somatic embryos after co-cultivation with Agrobacterium tumefaciens. Expression of amiR^CP-1 and amiR^CP-2 was detected in plant tissues by an endpoint stem-loop RT-PCR as early as 1?day after a 48-h co-cultivation, indicating active processing of pre-amiRNAs by the plant machinery. In parallel, GUS-sensor constructs (G^CP-1 and G^CP-2) were obtained by fusing the target sequence of amiR^CP-1 or amiR^CP-2 to the 3?? terminus of the GUS gene. Co-transformation assays with GUS-sensors and the pre-amiRNA constructs provided evidence for in vivo recognition and cleavage of the 21-nt target sequence of GUS-sensors by the corresponding amiRNA. This is the first report of amiRNA ectopic expression in grapevine. The constructs we developed could be useful for engineering GFLV-resistant grapes in the future.     

人工 microRNA 技术研究进展

RNA干扰（RNAi）是由双链RNA触发的在mRNA水平进行的特异靶序列的基因沉默现象,广泛存在于动物、植物和病毒中,主要包括小干扰RNA（siRNA）及微小RNA（miRNA）两种作用途径。人工miRNA（amiRNA）是将天然miRNA的成熟序列替换成人工设计的靶向其他感兴趣基因的反义序列,通过天然miRNA的生成和作用途径达到RNAi的效果,具有干扰效果明显、作用迅速、毒性低等优点,拥有广阔的应用前景。我们对基于amiRNA的基因沉默技术进行了较为系统的介绍和总结,梳理了该技术的优缺点和适用范围,并展望了其进一步发展的方向和应用前景。     

Identification of small RNAs in late developmental stage of rice anthers

Small RNAs including microRNA (miRNA) and small interfering RNA (siRNA) are known as repressors of gene expression. There are many plant proteins involved in small RNA-mediated gene silencing, such as Dicer ribonucleases and RNA-dependent RNA polymerases. However, most of these proteins have been reported to be absent in the late developmental stage of the plant male gamete, pollen. In order to clarify the existence of the small RNAs during maturation of pollen, we cloned and sequenced small RNAs from rice anthers including tricellular pollen. From fifty six candidates of small RNAs, we identified two known miRNAs (miR166 and miR167), eight potential miRNAs, and ten putative heterochromatic siRNAs (hc-siRNAs). RNA gel blot analyses clearly showed that miR166 and miR167 were accumulated in the uninuclear pollen stage of anther development and remained until the tricellular pollen stage. Our cloning and RNA gel blot analyses of small RNAs led us to propose a possible function of small RNA-mediated gene regulation for the development of male gametes in rice.     

Multi‐targeting of viral RNAs with synthetic trans‐acting small interfering RNAs enhances plant antiviral resistance

RNA interference (RNAi)‐based tools are used in multiple organisms to induce antiviral resistance through the sequence‐specific degradation of target RNAs by complementary small RNAs. In plants, highly specific antiviral RNAi‐based tools include artificial microRNAs (amiRNAs) and synthetic trans‐acting small interfering RNAs (syn‐tasiRNAs). syn‐tasiRNAs have emerged as a promising antiviral tool allowing for the multi‐targeting of viral RNAs through the simultaneous expression of several syn‐tasiRNAs from a single precursor. Here, we compared in tomato plants the effects of an amiRNA construct expressing a single amiRNA and a syn‐tasiRNA construct expressing four different syn‐tasiRNAs against Tomato spotted wilt virus (TSWV), an economically important pathogen affecting tomato crops worldwide. Most of the syn‐tasiRNA lines were resistant to TSWV, whereas the majority of the amiRNA lines were susceptible and accumulated viral progenies with mutations in the amiRNA target site. Only the two amiRNA lines with higher amiRNA accumulation were resistant, whereas resistance in syn‐tasiRNA lines was not exclusive of lines with high syn‐tasiRNA accumulation. Collectively, these results suggest that syn‐tasiRNAs induce enhanced antiviral resistance because of the combined silencing effect of each individual syn‐tasiRNA, which minimizes the possibility that the virus simultaneously mutates all different target sites to fully escape each syn‐tasiRNA.     

Host-induced gene silencing: a tool for understanding fungal host interaction and for developing novel disease control strategies

Recent discoveries regarding small RNAs and the mechanisms of gene silencing are providing new opportunities to explore fungal pathogen-host interactions and potential strategies for novel disease control. Plant pathogenic fungi are a constant and major threat to global food security; they represent the largest group of disease-causing agents on crop plants on the planet. An initial understanding of RNA silencing mechanisms and small RNAs was derived from model fungi. Now, new knowledge with practical implications for RNA silencing is beginning to emerge from the study of plant-fungus interactions. Recent studies have shown that the expression of silencing constructs in plants designed on fungal genes can specifically silence their targets in invading pathogenic fungi, such as Fusarium verticillioides, Blumeria graminis and Puccinia striiformis f.sp. tritici. Here, we highlight the important general aspects of RNA silencing mechanisms and emphasize recent findings from plant pathogenic fungi. Strategies to employ RNA silencing to investigate the basis of fungal pathogenesis are discussed. Finally, we address important aspects for the development of fungal-derived resistance through the expression of silencing constructs in host plants as a powerful strategy to control fungal disease.     

Integration of biological data by kernels on graph nodes allows prediction of new genes involved in mitotic chromosome condensation

The advent of genome-wide RNA interference (RNAi)–based screens puts us in the position to identify genes for all functions human cells carry out. However, for many functions, assay complexity and cost make genome-scale knockdown experiments impossible. Methods to predict genes required for cell functions are therefore needed to focus RNAi screens from the whole genome on the most likely candidates. Although different bioinformatics tools for gene function prediction exist, they lack experimental validation and are therefore rarely used by experimentalists. To address this, we developed an effective computational gene selection strategy that represents public data about genes as graphs and then analyzes these graphs using kernels on graph nodes to predict functional relationships. To demonstrate its performance, we predicted human genes required for a poorly understood cellular function—mitotic chromosome condensation—and experimentally validated the top 100 candidates with a focused RNAi screen by automated microscopy. Quantitative analysis of the images demonstrated that the candidates were indeed strongly enriched in condensation genes, including the discovery of several new factors. By combining bioinformatics prediction with experimental validation, our study shows that kernels on graph nodes are powerful tools to integrate public biological data and predict genes involved in cellular functions of interest.