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Chemical interference is increasingly suggested as a mechanism facilitating exotic plant invasion and plant community composition. In order to explore this further, we employed a comprehensive extract-bioassay technique that facilitated detection and demarcation of phytotoxicity, direct allelopathy and indirect allelopathy of bitou bush (Chrysanthemoides monilifera spp. rotundata) compared to an indigenous dominant of the invaded system, acacia (Acacia longifolia var. sophorae). Extracts of the leaves and roots of both species exhibited phytotoxic effects against five indigenous plant species. Evidence for allelopathy between co-evolved indigenous plants was detected between acacia and Isolepis nodosa. Allelopathy between bitou bush and four indigenous plant species was also detected. Therefore we propose that both the acacia and bitou bush have the potential to chemically inhibit the establishment of indigenous plants. Eventual dominance of bitou bush is predicted, however, based on more ubiquitous effects on seedling growth.

Summary Olfactory signals, often in synergy with visual signals, mediate the interactions between plants and animals. However, urbanization and agricultural practices are both sources of volatile organic compounds (VOCs) and reactive oxygen species (ROS) that have the potential to interfere with plant–animal communication and to disrupt mutualistic interactions. In this review, we explore how anthropogenic airborne pollutants may disrupt chemical information transfer between flowering plants and flower visitors. The emission of anthropogenic volatile pollutants (AVPs) including VOCs and formation of ROS, for example from traffic or industries, and non‐natural biogenic VOCs, for example from introduced crops, may have a number of effects: (i) changes in plant signalling as a consequence of plants experiencing physiological stress; (ii) chemical interference (chemical degradation/transformation of infochemicals); (iii) increased levels of background noise impeding signal detection; and (iv) changes in pollinator signal perception and behaviour. All of the above in turn could have consequences for the biological fitness of plants and animals that rely on olfactory information as pivotal functional signals. The study of anthropogenic airborne pollutants and their effects on plant signalling is just emerging and the impacts of this aspect of anthropogenic emissions are barely understood. Volatiles emitted from anthropogenically changed landscapes could, however, have far‐reaching consequences for ecosystem functioning in adjacent natural zones, particularly in fragmented landscapes. In response to the wide gap in our knowledge on the mechanisms that govern interference of anthropogenic VOCs with olfactory information, future research directions are proposed with the aim to inspire research to help elucidate the risks of anthropogenic VOCs for plant–pollinator communities and improve risk assessment strategies. A lay summary is available for this article. Lay Summary

Earlier work has shown that siRNA-mediated reduction of the SUPT4H or SUPT5H proteins, which interact to form the DSIF complex and facilitate transcript elongation by RNA polymerase II (RNAPII), can decrease expression of mutant gene alleles containing nucleotide repeat expansions differentially. Using luminescence and fluorescence assays, we identified chemical compounds that interfere with the SUPT4H-SUPT5H interaction and then investigated their effects on synthesis of mRNA and protein encoded by mutant alleles containing repeat expansions in the huntingtin gene (HTT), which causes the inherited neurodegenerative disorder, Huntington’s Disease (HD). Here we report that such chemical interference can differentially affect expression of HTT mutant alleles, and that a prototypical chemical, 6-azauridine (6-AZA), that targets the SUPT4H-SUPT5H interaction can modify the biological response to mutant HTT gene expression. Selective and dose-dependent effects of 6-AZA on expression of HTT alleles containing nucleotide repeat expansions were seen in multiple types of cells cultured in vitro, and in a Drosophila melanogaster animal model for HD. Lowering of mutant HD protein and mitigation of the Drosophila “rough eye” phenotype associated with degeneration of photoreceptor neurons in vivo were observed. Our findings indicate that chemical interference with DSIF complex formation can decrease biochemical and phenotypic effects of nucleotide repeat expansions.

The extraction of bioactive compounds from natural food sources through non-conventional novel methods is gaining popularity due to their numerous advantages over conventional methods. In this review article, various extraction methods such as conventional and non-conventional novel methods were discussed with emphasis on green extraction methods. The use of hybrid extraction techniques has an effective and novel method of extraction. The bioactive compounds extracted by such novel techniques have great potential in functional food market, as they are considered as safer. Additionally, with an increasing interest of consumers toward food product, these novel greener technologies would be safer since it has less chemical interference. The outcome of this review will give an idea for appropriate extraction process with better efficiency and eco-friendly, which could be beneficial for extraction industry. Further research is required to validate these green extraction techniques in terms of their safety, consumer acceptability, challenges, and legal feasibility.

Dinitrogen pentoxide (N2O5) and the nitrate radical (NO3) play important roles in atmospheric chemistry, yet accurate measurements of their concentrations remain challenging. A thermal dissociation chemical ionization mass spectrometer (TD-CIMS) was deployed to an urban site in Hong Kong to measure the sum of N2O5 and NO3 in autumn 2010 based on the signals of NO3- at 62 amu which has also been adopted in previous studies reported in literature. To our surprise, very large signals of N2O5 + NO3 were frequently observed at 62 amu in the daytime, with equivalent N2O5 + NO3 mixing ratios in the range of 200-1000 pptv. To investigate this unusual phenomenon, various interference tests and measurements with different instrument configuration were conducted. It was found that peroxy acetyl nitrate (PAN) contributed to measurable signals at 62 amu, and more importantly, this interference increased significantly with co-existence of NO2. Nitric acid (HNO3), on the other hand, had little interference to the detection of N2O5/NO3 via the NO3- ion in our TD-CIMS. According to the test results, the interference from PAN and NO2 could have contributed to 30-50% of the average daytime (12:00-16:00, local time) N2O5 + NO3 signal at our site. On the other hand, evidence exists for the presence of elevated daytime N2O5, in addition to the daytime signal at 62 amu. This includes (1) daytime N2O5 measured via the I(N2O5)- cluster ion with an unheated inlet, which was subjected to minimum interferences, and (2) observation of elevated daytime ClNO2 (a product of N2O5 hydrolysis) during a follow-up study. In view of the difficulty in accurately quantifying the contribution from the interferences of PAN and NO2 and untested potential interfering chemicals in the real atmosphere, we caution the use of 62 amu in the TD-CIMS for measuring ambient N2O5 in a high NOx environment like Hong Kong. Additional studies are needed to re-examine the daytime issue using other measurement techniques.

Biomarkers play a pivotal role in disease diagnosis, therapeutic efficacy evaluation, prognostic assessment, and drug screening. However, the trace concentrations of these markers in complex physiological environments pose significant challenges to efficient detection. It is necessary to avoid interference from non-specific signals, which may lead to misjudgment of other substances as biomarkers and affect the accuracy of detection results. With the rapid advancements in electrochemical technologies and artificial intelligence (AI) algorithms, intelligent electrochemical biosensors have emerged as a promising approach for biomedical detection, offering speed, specificity, high sensitivity, and accuracy. This review focuses on elaborating the latest applications of AI-empowered electrochemical biosensors in the biomedical field, including disease diagnosis, treatment monitoring, drug development, and wearable devices. AI algorithms can further improve the accuracy, sensitivity, and repeatability of electrochemical sensors through the screening and performance prediction of sensor materials, as well as the feature extraction and noise reduction suppression of sensing signals. Even in complex physiological microenvironments, they can effectively address common issues such as electrode fouling, poor signal-to-noise ratio, chemical interference, and matrix effects. This work may provide novel insights for the development of next-generation intelligent biosensors for precision medicine.

Viruses use a limited set of host pathways for infection. These pathways represent bona fide antiviral targets with low likelihood of viral resistance. We identified the salicylanilide niclosamide as a broad range antiviral agent targeting acidified endosomes. Niclosamide is approved for human use against helminthic infections, and has anti-neoplastic and antiviral effects. Its mode of action is unknown. Here, we show that niclosamide, which is a weak lipophilic acid inhibited infection with pH-dependent human rhinoviruses (HRV) and influenza virus. Structure-activity studies showed that antiviral efficacy and endolysosomal pH neutralization co-tracked, and acidification of the extracellular medium bypassed the virus entry block. Niclosamide did not affect the vacuolar H(+)-ATPase, but neutralized coated vesicles or synthetic liposomes, indicating a proton carrier mode-of-action independent of any protein target. This report demonstrates that physico-chemical interference with host pathways has broad range antiviral effects, and provides a proof of concept for the development of host-directed antivirals.

The mitochondria‐associated membrane (MAM) is a domain of the endoplasmic reticulum (ER) that mediates the exchange of ions, lipids and metabolites between the ER and mitochondria. ER chaperones and oxidoreductases are critical components of the MAM. However, the localization motifs and mechanisms for most MAM proteins have remained elusive. Using two highly related ER oxidoreductases as a model system, we now show that palmitoylation enriches ER‐localized proteins on the MAM. We demonstrate that palmitoylation of cysteine residue(s) adjacent to the membrane‐spanning domain promotes MAM enrichment of the transmembrane thioredoxin family protein TMX. In addition to TMX, our results also show that calnexin shuttles between the rough ER and the MAM depending on its palmitoylation status. Mutation of the TMX and calnexin palmitoylation sites and chemical interference with palmitoylation disrupt their MAM enrichment. Since ER‐localized heme oxygenase‐1, but not cytosolic GRP75 require palmitoylation to reside on the MAM, our findings identify palmitoylation as key for MAM enrichment of ER membrane proteins. Mitochondria‐associated ER membranes (MAM) recently emerged as critical for cellular signal transduction and metabolism. This study identifies palmitoylation as novel mechanism for targeted localization of ER‐transmembrane proteins to MAM domains.

Plant biodiversity loss in riparian forests is known to alter key stream ecosystem processes such as leaf litter decomposition. One potential mechanism mediating this biodiversity–decomposition relationship is the increased variability of plant functional traits at higher levels of biodiversity, providing more varied resources for decomposers and thus improving their function. We explored this in a field experiment exposing litter from different assemblages with low or high trait variability (measured through phylogenetic distance, PD) to microbial decomposers and invertebrate detritivores within litterbags in a low-order stream. Litter assemblages generally lost less mass but more phosphorus (P) than expected from monocultures, and nitrogen (N) tended to increase in the absence of detritivores and decrease in their presence, with little effect of PD. In contrast, there were strong influences of mean values and variability of specific traits (mostly N, P and condensed tannins) on decomposition and on net diversity effects. The negative diversity effect on litter mass loss was mainly driven by negative complementarity (that is, physical or chemical interference among species or traits), although there was positive selection (that is, particular species or traits with large effects on decomposition) in high-PD assemblages with detritivores. High-PD assemblages tended to have more invertebrates and attracted more typical litter-consuming detritivores. Our study suggests that decomposition of litter assemblages is mainly driven by concentration and variability of several key litter traits, rather than overall trait heterogeneity (measured through PD). However, differences in invertebrates colonizing high-PD and low-PD assemblages pointed to potential long-term effects of PD on decomposition.

Amphibians are highly vulnerable to anthropogenic pollution, primarily due to their permeable skin and eggs, as well as their habitat preferences. Endocrine‐disrupting compounds (EDCs), prevalent in aquatic environments and soil, pose a significant threat to their survival. While the physiological effects of EDCs on amphibians have been extensively studied, their impact on behavior remains relatively unexplored. This paper reviews the existing literature on the impact of EDCs on the mating behavior of amphibians, including disruptions in acoustic, olfactory, and visual communication. Although it has been shown that amphibian reproduction can be affected by endocrine disruptors, there are still significant research gaps. We performed an extensive review of the literature, which yielded only 27 eligible studies—21 of which tested the effects on mating communication and behavior, and only 6 examined the impact on body coloration. There is a strong need for a deeper understanding of how EDCs, both alone and in combination with other stressors, affect the reproductive behavior of amphibians, as this may have serious implications for the dynamics and survival of entire populations and species. Amphibians are particularly susceptible to anthropogenic pollution. This paper reviews how endocrine‐disrupting compounds (EDCs) affect their mating behavior, noting significant research gaps in understanding these impacts. Further studies are crucial to grasp EDCs' effects on amphibian reproduction and population dynamics.