Transcript Level and Sequence Matching Are Key Determinants of Off-Target Effects in RNAi.

Double-stranded RNA (dsRNA) pesticides, those based on RNA interference (RNAi) technology utilizing dsRNA, have shown potential for pest control. However, the off-target effects of dsRNA pose limitations to the widespread application of RNAi and raise concerns regarding potential side effects on other beneficial organisms. The precise impact and underlying factors of these off-target effects are still not well understood. Here, we found that the transcript level and sequence matching jointly regulate off-target effects of dsRNA. The much lower expressed target genes were knocked down to a lesser extent than genes with higher expression levels, and the critical sequence identity of off-target effects is approximately 80%. Moreover, off-target effects could be triggered by a contiguous matching sequence length exceeding 15 nt as well as nearly perfectly matching sequences with one or two base mismatches exceeding 19 nt. Increasing the dosage of dsRNA leads to more severe off-target effects. However, the length of mismatched dsRNA, the choice of different RNAi targets, and the location of target sites within the same gene do not affect the severity of off-target effects. These parameters can be used to guide the design of possibly selective sequences for RNAi, optimize the specificity and efficiency of dsRNA, and facilitate practical applications of RNAi for pest control.

Insight into the molecular mechanism of phosphine toxicity provided by functional analysis of cytochrome b5 fatty acid desaturase and dihydrolipoamide dehydrogenase in the red flour beetle, Tribolium castaneum.

Phosphine is the dominant chemical used in postharvest pest control. Widespread and highly frequent use of phosphine has been selected for pest insects, including Tribolium castaneum, which is highly resistant. Lipid peroxidation and reactive oxygen species (ROS) are two major factors determining phosphine toxicity; however, the mechanisms of production of these two factors in phosphine toxicity are still unknown. Here, we first determined the time course of phosphine-induced lipid peroxidation and ROS production in T. castaneum. Our results showed that lipid peroxidation occurs before ROS in the process of phosphine toxicity, and fumigated beetles with higher resistance levels were associated with weaker activity on lipid peroxidation and ROS. A significant decline in lipid peroxidation was observed in fumigated individuals after knockdown of cytochrome b5 fatty acid desaturase (Cyt-b5-r) via RNA interference (RNAi), indicating that Cyt-b5-r is critical for triggering phosphine-induced lipid peroxidation. Moreover, significant decreases in both ROS and mortality were detected in fumigated T. castaneum adults fed melatonin for 7 days, an inhibitor of lipid peroxidation. Cyt-b5-r RNAi also inhibited ROS production and mortality in phosphine-treated beetles. Meanwhile, a significant decrease in ROS production (68.4%) was detected in dihydrolipoamide dehydrogenase (DLD) knockdown individuals with phenotypes susceptible to phosphine, suggesting that lipid peroxidation initiates ROS with the expression of DLD. However, a significant increase in ROS (122.1%) was detected in the DLD knockdown beetles with strongly resistant phenotypes, indicating that the DLD-involved pathway may not be the only mechanism of ROS generation in phosphine toxicity and the existence of a moonlighting role in downregulating ROS in strongly resistant T. castaneum.

Insight into the Mechanism of Porcine Myofibrillar Protein Gel Properties Modulated by κ-Carrageenan.

The purpose of this study is to explain the mechanism of porcine myofibrillar protein gel properties modulated by κ-carrageenan. The textural properties results showed that the stress at fracture of the composite gel with 0.4% κ-carrageenan had the highest value (91.33 g), which suggested that the 0.4% κ-carrageenan addition was the limitation. The strain at fracture was significantly reduced with κ-carrageenan addition. The composite gel with 0.4% κ-carrageenan had the lowest proportion of T22 (7.85%) and the shortest T21 relaxation time (252.81 ms). The paraffin section showed that the phase separation behavior of the composite gel transformed from single-phase behavior to dispersed phase behavior to bi-continuous phase behavior, and the ratio of CG/MP phase area significantly increased from 0.06 to 1.73. The SEM showed that the three-dimensional network of myofibrillar protein transformed from a loose structure to a compact structure to an unaggregated structure with κ-carrageenan addition. The myofibrillar protein network of the treatment with 0.4% κ-carrageenan had the highest DF value (1.7858) and lowest lacunary value (0.452). The principal component analysis was performed on the data of microstructure and textural properties, and the results showed that the dispersed phase behavior and moisture stabilization promoted the aggregation of myofibrillar protein and the composite gel had better water holding capacity and textural properties, while bi-continuous phase behavior hindered the aggregation of myofibrillar protein and the composite gel had worse water holding capacity and textural properties.

[Advancements in virtual screening techniques for study of enzyme inhibitor compounds].

Enzymes are closely associated with the onset and progression of numerous diseases, making enzymes a primary target in innovative drug development. However, the challenge remains in identifying compounds that exhibit potent inhibitory effects on the target enzymes. With the continuous expansion of the total number of natural products and increasing difficulty in isolating and enriching new compounds, traditional high-throughput screening methods are finding it increasingly challenging to meet the demands of new drug development. Virtual screening, characterized by its high efficiency and low cost, has gradually become an indispensable technology in drug development. It represents a prominent example of the integration of artificial intelligence with biopharmaceuticals and is an inevitable trend in the rapid development of innovative drug screening in the future. Therefore, this article primarily focused on systematically reviewing the recent applications of virtual screening technology in the development of enzyme inhibitors and explored the prospects and advantages of using this technology in developing new drugs, aiming to provide essential theoretical insights and references for the application of related technologies in the field of new drug development.

Amplification refractory mutation system based real-time PCR (ARMS-qPCR) for rapid resistance characterization of Tribolium castaneum to phosphine.

Resistance of Tribolium castaneum to phosphine is related to point mutations in DNA code corresponding to amino acid changes associated with a core metabolic enzyme dihydrolipoamide dehydrogenase (DLD), but the mutation patterns vary among different resistant populations. Thus, there is a great need to develop a cost-effective method to detect core mutations in T. castaneum, which would be the key factor to understand the molecular basis of phosphine resistance. Amplification refractory mutation system-based quantitative Real-Time PCR (ARMS-qPCR) is an ideal method that can rapidly detect point mutations. Here, the P45S and G131D mutations existed in the DLD of T. castaneum selected from strong Chinese resistance phenotypes, and the DLD P45S mutation, which represents a strong phosphine resistance allele, was confirmed as the most abundant mutation to determine strong resistance genotypes. Our study found that 85 out of 120 beetles carried the P45S resistance allele, including 51 homozygous and 34 heterozygous individuals. Moreover, there was a strong linear relationship (R2 = 0.917) between the resistance ratio and the resistance allele frequency among the strongly resistant populations. Our data showed that the ARMS-qPCR method that we developed could rapidly determine strong resistance phenotypes of T. castaneum to phosphine by detecting the DLD P45S mutation. These results not only provide a detailed example for developing an ARMS-qPCR-based method to characterize pesticide resistance, but also support further elucidation of the molecular basis of phosphine resistance.

Key factors determining competitions between double-stranded RNAs in Tribolium castaneum.

Combinatorial delivery of different double-stranded RNAs (dsRNAs) can result in competitive inhibition in insect pests and remains one of the obstacles in the way of future applications of the RNA interference (RNAi)-based pest control. In this study, we attempted to discover the basic competition characteristics between dsRNAs and provided insight into the solutions of competitive inhibition. RNAi sensitive insect species Tribolium castaneum were treated, and competitions between dsRNA fragments influencing the effectiveness of RNAi response could be measured. A chimeric dsRNA strategy for conjugating different dsRNA fragments into a single molecule and a nanoparticle carbon quantum dots-mediated dsRNA delivery were confirmed as efficient methods to knock down multiple target genes simultaneously. Furthermore, in vitro assays were conducted for determining the accumulation speed of serially diluted and incubated dsRNA in the midgut tissues. Our data showed that the accumulation of dsRNAs of different treated amounts was 0.25 µg ≈ 0.5 µg > 1 µg ≥ 2 µg > 4 µg, indicating that accumulation speed would be affected by treated dsRNA. Overall, our results strongly suggest that endocytic components influencing cellular uptake might be oversaturated when an excess amount of dsRNAs were treated, thereby causing competitive inhibition of target genes.

Transcript level is a key factor affecting RNAi efficiency.

Efficiency is the basis for the application of RNA interference (RNAi) technology. Actually, RNAi efficiency varies greatly among insect species, tissues and genes. Previous efforts have revealed the mechanisms for variation among insect species and tissues. Here, we investigated the reason for variable efficiency among the target genes in the same insect. First, we tested the genes sampled randomly from Tribolium castaneum, Locusta migratoria and Drosophila S2 cells for both their expression levels and sensitivity to RNAi. The results indicated that the genes with higher expression levels were more sensitive to RNAi. Statistical analysis showed that the correlation coefficients between transcript levels and knockdown efficiencies were 0.8036 (n = 90), 0.7255 (n = 18) and 0.9505 (n = 13), respectively in T. castaneum, L. migratoria and Drosophila S2 cells. Subsequently, ten genes with varied expression level in different tissues (midgut and carcass without midgut) of T. castaneum were tested. The results indicated that the higher knockdown efficiency was always obtained in the tissue where the target gene expressed higher. In addition, three genes were tested in different developmental stages, larvae and pupae of T. castaneum. The results found that when the expression level increased after insect pupation, these genes became more sensitive to RNAi. Thus, all the proofs support unanimously that transcript level is a key factor affecting RNAi sensitivity. This finding allows for a better understanding of the RNAi efficiency variation and lead to effective or efficient use of RNAi technology.

Chimeric Double-Stranded RNAs Could Act as Tailor-Made Pesticides for Controlling Storage Insects.

Double-stranded RNA (dsRNA), the unique trigger of RNA interference, could be used as potential pesticides for the management of storage insects. High species specificity greatly improves the biosafety of dsRNAs. However, there are usually more than one insect species in real circumstances. In this study, we present a new strategy that broadens the control spectrum of a formulation using single dsRNA fragments. First, effective target genes were selected for each insect pest, here including Rhyzopertha dominica and Blattella germanica. Then, a template was prepared by conjugating various fragments from each of the selected genes. With this template, a piece of chimeric dsRNA was synthesized, and, thus, regional complementary specificity for genes from different insects was harnessed. Finally, injection treatments with this chimeric dsRNA demonstrated that each gene was selectively silenced, and the insects of both species were effectively killed by continuously feeding the chimeric dsRNA. Meanwhile, the results also demonstrated that the toxicity of chimeric dsRNA for non-target organisms, including Zophobas atratus and Periplaneta americana, could be low. This is the first description of a single dsRNA fragment accurately targeting several pest species, and the method provides promise of novel tailor-made biopesticides in the future management of storage insects.

Off-target effects of RNAi correlate with the mismatch rate between dsRNA and non-target mRNA.

RNAi is a potent technique for the knockdown of target genes. However, its potential off-target effects limit the widespread applications in both reverse genetic analysis and genetic manipulation. Previous efforts have uncovered rules underlying specificity of siRNA-based silencing, which has broad applications in humans, but the basis for specificity of dsRNAs, which are better suited for use as insecticides, is poorly understood. Here, we investigated the rules governing dsRNA specificity. Mutational analyses showed that dsRNAs with >80% sequence identity with target genes triggered RNAi efficiently. dsRNAs with ≥16 bp segments of perfectly matched sequence or >26 bp segments of almost perfectly matched sequence with one or two mismatches scarcely distributed (single mismatches inserted between ≥5 bp matching segments or mismatched couplets inserted between ≥8 bp matching segments) also able to trigger RNAi. Using these parameters to predict off-target risk, dsRNAs can be designed to optimize specificity and efficiency, paving the way to the widespread, rational application of RNAi in pest control.

Identification of a double-stranded RNA-degrading nuclease influencing both ingestion and injection RNA interference efficiency in the red flour beetle Tribolium castaneum.

RNA interference (RNAi) efficiency dramatically varies among different insects and among administration methods. Numerous studies have revealed that a poor RNAi response is usually associated with a high double-stranded RNA (dsRNA)-degrading activity. Using the red flour beetle Tribolium castaneum, we conducted genome-wide identification of genes encoding dsRNA-degrading nucleases of the DNA/RNA non-specific endonuclease superfamily. To achieve a robust RNAi response in T. castaneum, four dsRNase genes were identified in the genome that seemed to be the potential factors reducing RNAi efficacy. Analysis of biochemical properties revealed that optimal conditions for the dsRNA-degrading activity were alkaline (pH 8.0) in the absence of Mg2+ at 37 °C. The dsRNA-degrading activity was predominantly present in the gut, and via heterologous expression and RNAi experimentation, gut-specific TcdsRNase1 was confirmed as the major nuclease performing dsRNA degradation. After a knockdown of the TcdsRNase1 nuclease activity, RNAi efficiency improved from 38.6% to 58.9% and from 20.9% to 53.9% for injection and ingestion of dsRNA, respectively. Our results contribute to a comprehensive understanding of the mechanisms influencing dsRNA stability and even RNAi efficiency in T. castaneum and point to a good method for improving RNAi efficiency through downregulation of the relevant nuclease activity.

Identification and functional analysis of cytochrome P450 CYP346 family genes associated with phosphine resistance in Tribolium castaneum.

Resistance to phosphine fumigation has been frequently reported in insect pests of stored products and remains one of the obstacles in controlling these pests, including Tribolium castaneum. In this study, six field populations of T. castaneum were collected from different localities in China. Bioassay data showed that SZ population was strongly resistant to phosphine, followed by moderate-resistance populations WL and SF and three susceptible populations JX, YN, and ML. In addition, synergism assays showed that piperonyl butoxide significantly increased the toxicity of phosphine in resistant population SZ. Furthermore, CYP346B subfamily genes, CYP346B1, CYP346B2, and CYP346B3, were significantly overexpressed in resistant populations. Expression of CYP346B1, CYP346B2, and CYP346B3 were significantly upregulated following exposure to phosphine. RNAi assays showed that depletions on the expression levels of CYP346B1, CYP346B2, and CYP346B3 resulted in an increase of susceptibility to phosphine in T. castaneum, respectively. Our data demonstrated that CYP346B subfamily genes in T. castaneum were associated with the resistance of phosphine. Moreover, the study also increased our understanding of the molecular basis of phosphine resistance in stored pest insects.

Comparison of efficacy of RNAi mediated by various nanoparticles in the rice striped stem borer (Chilo suppressalis).

RNA interference (RNAi) has proven to be a very promising prospect for insect pest control. However, low RNAi efficacy limits further development of this biotechnology for use on lepidopteran insects, including the rice striped stem borer (SSB) (Chilo suppressalis), one of the major destructive rice pests. In this work, the application of various nanoparticles (NPs) by which double-stranded RNA (dsRNA) could be encapsulated was evaluated as an alternative delivery strategy to potentially increase the bioactivity of dsRNA. Three NPs, chitosan, carbon quantum dot (CQD), and lipofectamine2000, complexed with dsRNA (to target the glyceraldehyde-3-phosphate dehydrogenase gene (G3PDH)) were tested to examine their use in controlling SSB. Relative mRNA expressions were quantified using qPCR to evaluate knockdown efficiency of NP-dsRNA treated larvae, and the correlated dsRNA-mediated SSB larval mortality was tested. Thereafter, the content dynamics of hemolymph dsRNA after ingesting different NP-dsRNA were monitored in vivo; the hemolymph dsRNA content was in ratios of 5.67, 9.43, and 1 with chitosan, CQD, and lipofectamine2000 induced samples, respectively. The results demonstrated that all three tested NPs led to efficient feeding delivery by improving both dsRNA stability and cellular uptake equally. Furthermore, there was a strong correlation (r= 0.9854) between the hemolymph dsRNA contents and the average RNAi depletions in the non-gut tissues of SSB. Overall, our results strongly suggest that due to its strong endosomal escaping ability, CQD was the most efficient carrier for inducing systemic RNAi, and thereby causing effective gene silencing and mortality in SSB.

Identification and characterization of multiple dsRNases from a lepidopteran insect, the tobacco cutworm, Spodoptera litura (Lepidoptera: Noctuidae).

RNA interference (RNAi) efficiency varies among insects. RNAi is highly efficient and systemic in coleopteran insects but quite variable and inefficient in lepidopteran insects. Degradation of double-stranded RNA (dsRNA) by double-stranded ribonucleases (dsRNases) is thought to contribute to the variability in RNAi efficiency observed among insects. One or two dsRNases involved in dsRNA digestion have been identified in a few insects. To understand the contribution of dsRNases to reduced RNAi efficiency in lepidopteran insects, we searched the transcriptome of Spodoptera litura and identified six genes coding for DNA/RNA non-specific endonucleases. Phylogenetic analysis revealed the evolutionary expansion of dsRNase genes in insects. The mRNA levels of three midgut-specific dsRNases increased during the larval stage, and the highest dsRNA-degrading activity was detected in third-instar larvae. Proteins produced via the expression of three midgut-specific dsRNases, and the widely expressed dsRNase3, in a baculovirus system showed dsRNase activity for four out of five dsRNases tested. In addition, the increase in dsRNA-degrading activity and upregulation of dsRNase1 and 2 in larvae fed on cabbage leaves suggests that the diet of S. litura can influence dsRNase expression, dsRNA stability, and thus probably RNAi efficiency. This is the first report that multiple dsRNases function together in an RNAi-recalcitrant insect. The data included in this paper suggest that multiple dsRNases coded by the S. litura genome might contribute to the lower and variable RNAi efficiency reported in this and other lepidopteran insects.

Carbon and nitrogen partitioning of transgenic rice T2A-1 (Cry2A*) with different nitrogen treatments.

Nitrogen (N) and carbon(C) metabolisms in plants were investigated to assess different responses of Bt and non-Bt rice to different N treatments. T2A-1 (Bt rice variety) inserted with Cry2A* protein to resist Lepidoptera and its parental line MH63 was adopted in this study. The total N accumulation presented no statistical difference. But nitrogen contents in different parts of rice plant were significantly different between the two lines, especially on leaf and spike part. This study revealed that the nitrogen in leaf of T2A-1 was far more than that of MH63; however, the nitrogen in spike of T2A-1 was less than that of MH63. In addition, MH63 assimilated more carbon than T2A-1. However, the distribution proportion of carbon in leaf, stem and spike of T2A-1 and MH63 were both 1:1:1. What's more, our study of the difference in metabolism pathway based on proteomics analysis provided more insights on the responses of two lines of Bt and non-Bt rice to different N treatments. And amino acid metabolism, energy metabolism, and carbohydrate metabolism presented significant difference between two lines. In addition, the number of differentially expressed proteins with N deficiency treatment was almost twice as many as that with normal N treatment. It could be inferred that the insertion of Cry2A* in T2A-1 may bring about effects on carbon and nitrogen allocation and related metabolisms, especially under N deficiency environment.

Biochemical Comparison of dsRNA Degrading Nucleases in Four Different Insects.

Double stranded RNAs (dsRNA) degrading nuclease is responsible for the rapid degradation of dsRNA molecules, and thus accounts for variations in RNA interference (RNAi) efficacy among insect species. Here, the biochemical properties and tissue-specific activities of dsRNA degrading nucleases in four insects (Spodoptera litura, Locusta migratoria, Periplaneta americana, and Zophobas atratus) from different orders were characterized using a modified assay method. The results revealed that all insect dsRNA degrading nucleases tested showed high activity in alkaline environments at optimal Mg2+ concentrations and elevated temperatures. We also found that enzymes from different insects varied in terms of their optimal reaction conditions and kinetic parameters. Whole body enzyme activity differed dramatically between insect species, although enzymes with higher substrate affinities (lower Km) were usually balanced by a smaller Vmax to maintain a proper level of degradative capacity. Furthermore, enzyme activities varied significantly between the four tested tissues (whole body, gut, hemolymph, and carcass) of the insect species. All the insects tested showed several hundred-fold higher dsRNA degrading activity in their gut than in other tissues. Reaction environment analysis demonstrated that physiological conditions in the prepared gut fluid and serum of different insects were not necessarily optimal for dsRNA degrading nuclease activity. Our data describe the biochemical characteristics and tissue distributions of dsRNA degrading activities in various insects, not only explaining why oral delivery of dsRNA often produces lower RNAi effects than injection of dsRNA, but also suggesting that dsRNA-degrading activities are regulated by physiological conditions. These results allow for a better understanding of the properties of dsRNA degrading nucleases, and will aid in the development of successful RNAi strategies in insects.

Multiple cis-acting elements involved in up-regulation of a cytochrome P450 gene conferring resistance to deltamethrin in smal brown planthopper, Laodelphax striatellus (Fallén).

As well as arising from single point mutations in binding sites or detoxifying enzymes, it is likely that insecticide resistance mechanisms are frequently controlled by multiple genetic factors, resulting in resistance being inherited as a quantitative trait. However, empirical evidence for this is still rare. Here we analyse the causes of up-regulation of CYP6FU1, a monoxygenase implicated in resistance to deltamethrin in the rice pest Laodelphax striatellus. The 5'-flanking region of this gene was cloned and sequenced from individuals of a susceptible and a resistant strain. A luminescent reporter assay was used to evaluate different 5'-flanking regions and their fragments for promoter activity. Mutations enhancing promoter activity in various fragments were characterized, singly and in combination, by site mutation recovery. Nucleotide diversity in flanking sequences was greatly reduced in deltamethrin-resistant insects compared to susceptible ones. Phylogenetic sequence analysis found that CYP6FU1 had five different types of 5'-flanking region. All five types were present in a susceptible strain but only a single type showing the highest promoter activity was present in a resistant strain. Four cis-acting elements were identified whose influence on up-regulation was much more pronounced in combination than when present singly. Of these, two were new transcription factor (TF) binding sites produced by mutations, another one was also a new TF binding site alternated from an existing one, and the fourth was a unique transcription start site. These results demonstrate that multiple cis-acting elements are involved in up-regulating CYP6FU1 to generate a resistance phenotype.

Variation in RNAi efficacy among insect species is attributable to dsRNA degradation in vivo.

RNA interference (RNAi) has become an essential technique in entomology research. However, RNAi efficiency appears to vary significantly among insect species. Here, the sensitivity of four insect species from different orders to RNAi was compared to understand the reason for this variation. A previously reported method was modified to monitor trace amounts of double-stranded RNA (dsRNA). After the administration of dsRNA, the dynamics of its content was determined in the hemolymph, in addition to the capability of its degradation in both the hemolymph and the midgut juice. The results showed that injection of dsRNA targeting the homologous chitinase gene in Periplaneta americana, Zophobas atratus, Locusta migratoria, and Spodoptera litura, with doses (1.0, 2.3, 11.5, and 33.0 µg, respectively) resulting in the same initial hemolymph concentration, caused 82%, 78%, 76%, and 20% depletion, respectively, whereas feeding doses based on body weight (24, 24, 36, and 30 µg) accounted for 47%, 28%, 5%, and 1% depletion. The sensitivity of insects to RNAi was observed to be as follows: P. americana > Z. atratus >>L. migratoria >>S. litura. In vivo monitoring revealed that RNAi effects among these insect species were highly correlated with the hemolymph dsRNA contents. Furthermore, in vitro experiments demonstrated that the hemolymph contents after dsRNA injection were dependent on hemolymph degradation capacities, and on the degradation capabilities in the midgut juice, when dsRNA was fed. In conclusion, the RNAi efficacy in different insect species was observed to depend on the enzymatic degradation of dsRNA, which functions as the key factor determining the inner target exposure dosages. Thus, enzymatic degradation in vivo should be taken into consideration for efficient use of RNAi in insects.