Trans-kingdom RNAs and their fates in recipient cells: advances, utilization, and perspectives

Zhao, Jinyan; Zhang, Tao; Liu, Qing‐Yan; Guo, Hui‐Shan

doi:10.1016/j.xplc.2021.100167

Cited by 25 publications

(31 citation statements)

References 108 publications

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“…In this sense, a different miRNAs pattern is expressed in plants with or without mycorrhizas (59,60) and during infectious process (61). In addition, fungal milRNAs have been pointed out as key elements in this inter-kingdom talk (62) and technological approaches, also for siRNAs, to increase pest tolerance in plants have been suggested (20,21). Therefore, it might be possible that fungal milRNAs would have needed to mimic plant miRNAs to enable a better fitting between two organisms belonging to two different kingdoms in a co-evolutionary process.…”

Section: Discussionmentioning

confidence: 99%

“…On the other hand, an increasing number of evidences on the relevance of miRNAs in the fields of Agronomy and Food Sciences are arising. Thus, very recently, it has been pointed the potential use of miRNAs as tools to increase pest tolerance in agronomic practices (20,21). Besides, the latest evidence shows that dietary plant miRNAs can not only be absorbed in the intestine, but also be absorbed and packaged by gastric epithelial cells and then secreted into the circulatory system.…”

Section: Introductionmentioning

confidence: 99%

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RNA-seq, bioinformatic identification of potential MicroRNA-Like Small RNAs in the edible mushroom Agaricus bisporus and experimental approach for their validation

Marín

Dávalos²,

Kiltschewskij-Brown³

et al. 2021

Preprint

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Although genomes from many edible mushrooms are sequenced, studies on fungal miRNAs are scarce. Most of the bioinformatic tools are designed for plants or animals but fungal miRNAs processing and expression share similarities and differences with both kingdoms. Moreover, since mushroom species such as Agaricus bisporus (white button mushroom) are frequently consumed as food, controversial discussions are still evaluating whether their miRNAs might or might not be assimilated, perhaps within extracellular vesicles (i.e exosomes). Therefore, the A. bisporus RNA-seq was studied in order to identify potential de novo miRNA-like small RNAs (milRNAs) that might allow their later detection in the diet. Results pointed to 1 already known and 37 de novo milRNAss. Three milRNAss were selected for RT-qPCR experiments. Precursors and mature milRNAs were found in the edible parts (caps and stipes) validating the predictions carried out in silico. When their potential gene targets were investigated, results pointed that mostly were involved in primary and secondary metabolic regulation. However, when human transcriptome is used as target, the results suggest that they might interfere with important biological processes related with cancer, infectious process and neurodegenerative diseases.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

RNA-seq, bioinformatic identification of potential MicroRNA-Like Small RNAs in the edible mushroom Agaricus bisporus and experimental approach for their validation

Marín

Dávalos²,

Kiltschewskij-Brown³

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

“…Exogenous constructs trigger the inherent RNAi system of plants, resulting in instability of the artificial RNAi construct. Moreover, a lack of transformation technology in many crop species also limits the broader application of HIGS (Zhao et al, 2021). On the other hand, public concern for the biosafety of genetically modified organisms (GMOs) complicates applications of HIGS worldwide (Wang and Jin, 2017; Arpaia et al, 2020).…”

Section: Perspectivesmentioning

confidence: 99%

“…In addition to transmitted proteins, recent studies have shown that transmitted RNAs play a vital role in the evolutionary arms race between hosts and pathogens (Zhao and Guo, 2019;Zhao et al, 2021).…”

Section: Trans-kingdom Rnaimentioning

confidence: 99%

RNA silencing: From discovery and elucidation to application and perspectives

Zhao

Guo

2022

JIPB

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RNA silencing (or RNA interference, RNAi) is a conserved mechanism for regulating gene expression in eukaryotes. The discovery of natural trans-kingdom RNAi indicated that small RNAs act as signaling molecules and enable communication between organisms in different kingdoms. The phenomenon and potential mechanisms of trans-kingdom RNAi are among the most exciting research topics. To better understand trans-kingdom RNAi, we review the history of the discovery and elucidation of RNAi mechanisms. Based on canonical RNAi mechanisms, we summarize the major points of divergence around RNAi pathways in the main eukaryotes' kingdoms, including plants, animals, and fungi. We review the representative incidents associated with the mechanisms and applications of trans-kingdom RNAi in crop protection, and discuss the critical factors that should be considered to develop successful trans-kingdom RNAi-based crop protection strategies.

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“…To showcase our interest in promoting plant biotechnologies, we published a special issue on technology and applications in plants in 2021. In this issue, four review articles discussed cutting-edge technologies and their applications, including proximity labeling for probing molecular interactions in planta , organelle genome transformation and editing, trans-kingdom RNAi and related strategies for crop improvement, and CRISPR ribonucleoprotein-mediated genetic engineering ( Li et al., 2021a ; Zhang et al., 2021b ; Yang et al., 2021 ; Zhao et al., 2021 ). Among the five original articles in this issue, two reported on the development of new CRISPR-based genome editing tools ( Grutzner et al., 2021 ; Sretenovic et al., 2021 ); the other three reported an anther culture-based system that enables highly efficient and genotype-independent creation of transgenic and gene-edited plants from commercial barley varieties ( Han et al., 2021 ), a high-throughput micro-computed tomography (micro-CT) imaging system integrated with deep learning for extracting and analyzing rice morphological traits ( Wu et al., 2021a ), and a nanopore-based single-molecule approach for characterizing plant polysaccharides ( Cai et al., 2021 ), respectively.…”

mentioning

confidence: 99%