Targeted large fragment deletion in plants using paired crRNAs with type I CRISPR system.

The CRISPR-Cas systems have been widely used as genome editing tools, with type II and V systems typically introducing small indels, and type I system mediating long-range deletions. However, the precision of type I systems for large fragment deletion is still remained to be optimized. Here, we developed a compact Cascade-Cas3 Dvu I-C system with Cas11c for plant genome editing. The Dvu I-C system was efficient to introduce controllable large fragment deletion up to at least 20 kb using paired crRNAs. The paired-crRNAs design also improved the controllability of deletions for the type I-E system. Dvu I-C system was sensitive to spacer length and mismatch, which was benefit for target specificity. In addition, we showed that the Dvu I-C system was efficient for generating stable transgenic lines in maize and rice with the editing efficiency up to 86.67%. Overall, Dvu I-C system we developed here is powerful for achieving controllable large fragment deletions.

Identification of Spodoptera frugiperda (Lepidoptera: Noctuidae) and its two host strains in China by PCR-RFLP.

The fall armyworm (FAW) Spodoptera frugiperda was first found in China in 2018. In other countries, FAW has evolved corn and rice strain biotypes. It is not possible to identify these strains based on morphology. In addition, FAW is very similar in appearance to several other common pests. These situations bring great challenges to the population management of FAW. In this study, we developed a rapid identification method based on PCR-RFLP to distinguish the two FAW strains and the FAW from other lepidopteran pests. A 697 bp mitochondrial cytochrome c oxidase I (COI) was cloned and sequenced from FAW, Spodoptera litura, Spodoptera exigua, and Mythimna separata. The COI fragments of these species revealed unique digestion patterns created by three enzymes (Tail, AlWN I, and BstY II). Thus, these four species can be distinguished from each other. The enzyme Ban I recognized a unique SNP site on a 638 bp triosephosphate isomerase (Tpi) fragment of the corn strain FAW. The Tpi fragment of the corn strain was cut into two bands. However, the rice strain could not be digested. Using this method, all 28 FAW samples collected from different host plants and locations in China were identified as the corn strain. This suggests that the rice strain has not yet invaded China. This method allows discrimination of FAW from other Lepidopteran pests and distinguishes the two FAW host strains.

Cut-dip-budding delivery system enables genetic modifications in plants without tissue culture.

Of the more than 370 000 species of higher plants in nature, fewer than 0.1% can be genetically modified due to limitations of the current gene delivery systems. Even for those that can be genetically modified, the modification involves a tedious and costly tissue culture process. Here, we describe an extremely simple cut-dip-budding (CDB) delivery system, which uses Agrobacterium rhizogene to inoculate explants, generating transformed roots that produce transformed buds due to root suckering. We have successfully used CDB to achieve the heritable transformation of plant species in multiple plant families, including two herbaceous plants (Taraxacum kok-saghyz and Coronilla varia), a tuberous root plant (sweet potato), and three woody plant species (Ailanthus altissima, Aralia elata, and Clerodendrum chinense). These plants have previously been difficult or impossible to transform, but the CDB method enabled efficient transformation or gene editing in them using a very simple explant dipping protocol, under non-sterile conditions and without the need for tissue culture. Our work suggests that large numbers of plants could be amenable to genetic modifications using the CDB method.

Oblique Impacts of Nanodroplets upon Surfaces.

In this work, oblique impacts of nanodroplets impacting surfaces in a wide range of impact angles (α) are investigated in detail via molecular dynamics simulations. Five outcomes are observed, including deposition, prompt splashing, break-up, separation, and shattering. With increasing impact angle, the outcomes of prompt splashing, break-up, separation, and shattering are enlarged but the one of deposition is compressed. By drawing a Wen ∼ α phase diagram, the outcome regimes and corresponding boundaries of them can be successfully identified, and the boundary between the deposition and other outcome regimes is theoretically modeled and shows good agreement with the phase diagram, where Wen is the normal impact Weber number. For further understanding of the oblique impacts, the maximum spreading factor, as the feature parameter of spreading, is investigated. Asymmetry spreading behaviors are observed, noting that ßmax,∥ is always larger than ßmax,⊥. ßmax,⊥ is tested that it only depends on Wen with wide impact angles and could be predicted by the scaling law of ßmax,⊥ = 0.7Wen1/4. However, ßmax,∥ depends on not only Wen but also impact angles. A modified model is proposed for predicting ßmax,∥ as 0.7Wen1/4 + 0.001(Wen tan2 α)3/2, which shows good agreement with data on surfaces with θ from 73 to 105° in wide Wen and α ranges.

Genome-wide identification and expression analysis of MATE gene family in citrus fruit (Citrus clementina).

Multidrug and toxic compound extrusion (MATE) proteins are a class of secondary active multidrug transporters. In plants, this family has significantly expanded and is involved in numerous plant physiological processes. Although MATE proteins have been identified in an increasing number of species, the understanding about this family in citrus remains unclear. In this study, a total of 69 MATE transporters were identified in the citrus genome (Citrus clementina) and classified into four groups by phylogenetic analysis. Tandem and segmental duplication events were the main causes of the citrus MATE family expansion. RNA-seq and qRT-PCR analyses were performed during citrus fruit development. The results indicated that CitMATE genes showed specific expression profiles in citrus peels and flesh at different developmental stages. Combined with the variations of flavonoids and citrate levels in citrus fruit, we suggested that CitMATE43 and CitMATE66 may be involved in the transport process of flavonoids and citrate in citrus fruit, respectively. In addition, two flavonoids positive regulators, CitERF32 and CitERF33, both directly bind to and activated the CitMATE43 promoter. Our results provide comprehensive information on citrus MATE genes and valuable understanding for the flavonoids and citrate metabolism in citrus fruit.

A noise-immune reinforcement learning method for early diagnosis of neuropsychiatric systemic lupus erythematosus.

The neuropsychiatric systemic lupus erythematosus (NPSLE), a severe disease that can damage the heart, liver, kidney, and other vital organs, often involves the central nervous system and even leads to death. Magnetic resonance spectroscopy (MRS) is a brain functional imaging technology that can detect the concentration of metabolites in organs and tissues non-invasively. However, the performance of early diagnosis of NPSLE through conventional MRS analysis is still unsatisfactory. In this paper, we propose a novel method based on genetic algorithm (GA) and multi-agent reinforcement learning (MARL) to improve the performance of the NPSLE diagnosis model. Firstly, the proton magnetic resonance spectroscopy (1H-MRS) data from 23 NPSLE patients and 16 age-matched healthy controls (HC) were standardized before training. Secondly, we adopt MARL by assigning an agent to each feature to select the optimal feature subset. Thirdly, the parameter of SVM is optimized by GA. Our experiment shows that the SVM classifier optimized by feature selection and parameter optimization achieves 94.9% accuracy, 91.3% sensitivity, 100% specificity and 0.87 cross-validation score, which is the best score compared with other state-of-the-art machine learning algorithms. Furthermore, our method is even better than other dimension reduction ones, such as SVM based on principal component analysis (PCA) and variational autoencoder (VAE). By analyzing the metabolites obtained by MRS, we believe that this method can provide a reliable classification result for doctors and can be effectively used for the early diagnosis of this disease.

A Smartcard-Based User-Controlled Single Sign-On for Privacy Preservation in 5G-IoT Telemedicine Systems.

Healthcare is now an important part of daily life because of rising consciousness of health management. Medical professionals can know users' health condition if they are able to access information immediately. Telemedicine systems, which provides long distance medical communication and services, is a multi-functional remote medical service that can help patients in bed in long-distance communication environments. As telemedicine systems work in public networks, privacy preservation issue of sensitive and private transmitted information is important. One of the means of proving a user's identity are user-controlled single sign-on (UCSSO) authentication scheme, which can establish a secure communication channel using authenticated session keys between the users and servers of telemedicine systems, without threats of eavesdropping, impersonation, etc., and allow patients access to multiple telemedicine services with a pair of identity and password. In this paper, we proposed a smartcard-based user-controlled single sign-on (SC-UCSSO) for telemedicine systems that not only remains above merits but achieves privacy preservation and enhances security and performance compared to previous schemes that were proved with BAN logic and automated validation of internet security protocols and applications (AVISPA).

High-Throughput Screening of Sulfated Proteins by Using a Genome-Wide Proteome Microarray and Protein Tyrosine Sulfation System.

Protein tyrosine sulfation (PTS) is a widespread posttranslational modification that induces intercellular and extracellular responses by regulating protein-protein interactions and enzymatic activity. Although PTS affects numerous physiological and pathological processes, only a small fraction of the total predicted sulfated proteins has been identified to date. Here, we localized the potential sulfation sites of Escherichia coli proteins on a proteome microarray by using a 3'-phosphoadenosine 5'-phosphosulfate (PAPS) synthase-coupled tyrosylprotein sulfotransferase (TPST) catalysis system that involves in situ PAPS generation and TPST catalysis. Among the 4256 E. coli K12 proteins, 875 sulfated proteins were identified using antisulfotyrosine primary and Cy3-labeled antimouse secondary antibodies. Our findings add considerably to the list of potential proteins subjected to tyrosine sulfation. Similar procedures can be applied to identify sulfated proteins in yeast and human proteome microarrays, and we expect such approaches to contribute substantially to the understanding of important human diseases.

CrowdMapping: A Crowdsourcing-Based Terminology Mapping Method for Medical Data Standardization.

Standardized terminology is the prerequisite of data exchange in analysis of clinical processes. However, data from different electronic health record systems are based on idiosyncratic terminology systems, especially when the data is from different hospitals and healthcare organizations. Terminology standardization is necessary for the medical data analysis. We propose a crowdsourcing-based terminology mapping method, CrowdMapping, to standardize the terminology in medical data. CrowdMapping uses a confidential model to determine how terminologies are mapped to a standard system, like ICD-10. The model uses mappings from different health care organizations and evaluates the diversity of the mapping to determine a more sophisticated mapping rule. Further, the CrowdMapping model enables users to rate the mapping result and interact with the model evaluation. CrowdMapping is a work-in-progress system, we present initial results mapping terminologies.

Flexible silver nanowire meshes for high-efficiency microtextured organic-silicon hybrid photovoltaics.

Hybrid organic-silicon heterojunction solar cells promise a significant reduction on fabrication costs by avoiding energy-intensive processes. However, their scalability remains challenging without a low-cost transparent electrode. In this work, we present solution-processed silver-nanowire meshes that uniformly cover the microtextured surface of hybrid heterojunction solar cells to enable efficient carrier collection for large device area. We systematically compare the characteristics and device performance with long and short nanowires with an average length/diameter of 30 µm/115 nm and 15 µm/45 nm, respectively, to those with silver metal grids. A remarkable power conversion efficiency of 10.1% is achieved with a device area of 1 × 1 cm(2) under 100 mW/cm(2) of AM1.5G illumination for the hybrid solar cells employing long wires, which represents an enhancement factor of up to 36.5% compared to the metal grid counterpart. The high-quality nanowire network displays an excellent spatial uniformity of photocurrent generation via distributed nanowire meshes and low dependence on efficient charge transport under a high light-injection condition with increased device area. The capability of silver nanowires as flexible transparent electrodes presents a great opportunity to accelerate the mass deployment of high-efficiency hybrid silicon photovoltaics via simple and rapid soluble processes.