Identification of long non-coding RNAs in response to downy mildew stress in grape

The importance of long non-coding RNA in plants has been reported more frequently in recent years, but there has been few specific reports on lncRNAs in grape, especially in terms of disease resistance. We performed RNA-seq on grape leaves of two species (Vitis piasezkii accession Liuba-8, Vitis vinifera cultivar Pinot Noir) sampled at six time points after inoculation, and 4011 possible lncRNAs were identified. The characteristics of grape lncRNAs were analyzed, and it was found that lncRNAs showed relatively consistent characteristics with the reported lncRNAs in model plants. 3,643 lncRNAs were predicted that have cis-regulatory effects on 6,622 protein-coding genes and 91 DElncRNAs were revealed to be coexpressed with its trans-regulated coding genes. One hundred and seventeen grape microRNAs were predicted to potentially target 184 lncRNAs and six lncRNAs were predicted to be endogenous targeting mimics of 15 microRNAs, among which some miRNAs have been reported in grape disease resistance. At six time points, LncRNAs showed different expression levels and different expression patterns in two species, suggesting that lncRNAs may have a certain regulatory effect on resistance to downy mildew in grape. Finally, a lncRNA MSTRG.12742.1 which may play a positive role in grape downy mildew resistance was verified by transient transformation. Its potential target gene, VIT_204s0008g02671.1, encodes cryptochrome DASH which may regulate stomatal opening and closing of plant leaves. In this study, we provided the systematic identification of lncRNAs in the course of downy mildew of grape, laying a foundation for further studies on downy mildew and lncRNAs of grape in the future

Genetic Analysis of the Grapevine GATA Gene Family and Their Expression Profiles in Response to Hormone and Downy Mildew Infection

Grapevine (Vitis. vinifera L.) is one of the most economically important fruit crops throughout the world. However, grape production is increasingly impacted by numerous diseases, including downy mildew, caused by the oomycete Plasmopara viticola. In grapevine and other plants, members of the GATA family of transcription factors play key roles in light and phytohormone signaling. However, little is known about their potential roles in biotic defense responses. As a first step, we identified 27 GATA transcription factors in grapevine and defined their transcriptional responses to three biotic stress-related phytohormones (SA, MeJA, and BR) in callus cells, and challenge with P. viticola in a downy mildew-sensitive cultivar, V. vinifera ‘Pinot noir’, and a resistant cultivar, V. piasezkii ‘Liuba-8′. Many of the VvGATA genes had higher expression at 0.5 h after hormones treatments. Moreover, a group of VvGATAs was dramatically induced in ‘Liuba-8′ at 24 post infection by P. viticola. However, the same genes were significantly repressed and showed low expression levels in ‘Pinot noir’. Additionally, VvGATA27 was located in the nucleus and had transcriptional activity. Taken together, the study identified the GATA full gene families in grapes on phylogenetic analysis and protein structure. Moreover, this study provided a basis for discussing the roles of VvGATAs in response to hormones and P. viticola infection. Our results provided evidence for the selection of candidate genes against downy mildew and lay the foundation for further investigation of VvGATA transcription factors

Research progress of therapeutic vaccines for treating chronic hepatitis B

Hepatitis B virus (HBV) is a member of Hepadnavirus family, which leads to chronic infection in around 5% of patients with a high risk of developing liver cirrhosis, liver failure, and hepatocellular carcinoma. Despite the availability of prophylactic vaccines against hepatitis B for over 3 decades, there are still more than 2 billion people have been infected and 240 million of them were chronic. Antiviral therapies currently used in the treatment of CHB (chronic hepatitis B) infection include peg-interferon, standard α-interferon and nucleos/tide analogs (NAs), but none of them can provide sustained control of viral replication. As an alternative strategy, therapeutic vaccines for CHB patients have been widely studied and showed some promising efficacies in dozens of preclinical and clinical trials. In this article, we review current research progress in several types of therapeutic vaccines for CHB treatment, including protein-based vaccines, DNA-based vaccines, live vector-based vaccines, peptide-based vaccines and cell-based therapies. These researches may provide some clues for developing new treatments in CHB infection

Iodide manipulation using zinc additives for efficient perovskite solar minimodules

Abstract Interstitial iodides are the most critical type of defects in perovskite solar cells that limits efficiency and stability. They can be generated during solution, film, and device processing, further accelerating degradation. Herein, we find that introducing a small amount of a zinc salt- zinc trifluoromethane sulfonate (Zn(OOSCF3)2) in the perovskite solution can control the iodide defects in resultant perovskites ink and films. CF3SOO̶ vigorously suppresses molecular iodine formation in the perovskites by reducing it to iodide. At the same time, zinc cations can precipitate excess iodide by forming a Zn-Amine complex so that the iodide interstitials in the resultant perovskite films can be suppressed. The perovskite films using these additives show improved photoluminescence quantum efficiency and reduce deep trap density, despite zinc cations reducing the perovskite grain size and iodide interstitials. The zinc additives facilitate the formation of more uniform perovskite films on large-area substrates (78-108 cm2) in the blade-coating process. Fabricated minimodules show power conversion efficiencies of 19.60% and 19.21% with aperture areas of 84 and 108 cm2, respectively, as certified by National Renewable Energy Laboratory (NREL), the highest efficiency certified for minimodules of these sizes

Strain Modulation for Light‐Stable n–i–p Perovskite/Silicon Tandem Solar Cells

Perovskite/silicon tandem solar cells are promising to penetrate photovoltaicmarket. However, the wide-bandgap perovskite absorbers used in top-celloften suffer severe phase segregation under illumination, which restricts theoperation lifetime of tandem solar cells. Here, a strain modulation strategyto fabricate light-stable perovskite/silicon tandem solar cells is reported. Byemploying adenosine triphosphate, the residual tensile strain in the wide-bandgapperovskite absorber is successfully converted to compressive strain,which mitigates light-induced ion migration and phase segregation. Basedon the wide-bandgap perovskite with compressive strain, single-junctionsolar cells with the n–i–p layout yield a power conversion efficiency (PCE) of20.53% with the smallest voltage deficits of 440 mV. These cells also maintain83.60% of initial PCE after 2500 h operation at the maximum power point.Finally, these top cells are integrated with silicon bottom cells in a monolithictandem device, which achieves a PCE of 26.95% and improved light stabilityat open-circuit

Brain-Inspired Remote Sensing Interpretation: A Comprehensive Survey

Brain-inspired algorithms have become a new trend in next-generation artificial intelligence. Through research on brain science, the intelligence of remote sensing algorithms can be effectively improved. This article summarizes and analyzes the essential properties of brain cognize learning and the recent advance of remote sensing interpretation. First, this article introduces the structural composition and the properties of the brain. Then, five represent brain-inspired algorithms are studied, including multiscale geometry analysis, compressed sensing, attention mechanism, reinforcement learning, and transfer learning. Next, this article summarizes the data types of remote sensing, the development of typical applications of remote sensing interpretation, and the implementations of remote sensing, including datasets, software, and hardware. Finally, the top ten open problems and the future direction of brain-inspired remote sensing interpretation are discussed. This work aims to comprehensively review the brain mechanisms and the development of remote sensing and to motivate future research on brain-inspired remote sensing interpretation