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Jing, S.

Publications and source records attributed to Jing, S..

13 recordsLinked to original sources

Long-term exposure to microplastics and heat affects bumblebee behavior patterns, colony development and social networks

Pollinators are crucial for terrestrial ecosystems and global food security, but their populations are declining from multiple stressors including pollution and climate change. The effects of plastic pollution alone or in interaction with climate change on pollinators remain largely unexplored. Here, we investigate sublethal microplastic exposure effects on pollinators at individual, colony and network level in combination with heating to simulate climate warming. We conducted a one-generation trial on 30 bumblebee (Bombus terrestris) colonies in a customized beekeeping structure with a nesting and a foraging room, where colonies were maintained under optimal temperature (25 {square}) or heated condition (30 {square}), and fed with oil-seed rape pollens and 50% w/w sucrose solution containing 0, 10, or 100 mg/L 30 m polyethylene beads. Real-time tracking with object detection (F1 = 83%) and matrix code scanning showed that microplastic exposure and heat significantly stimulated individual activity and altered labor division. Workers shifted to nursing behaviors and foraged more frequently for sucrose solution and less for pollen. Brood development was impaired by up to 48%, and colony population growth was restrained by 12-15%. Microplastic exposure and heating also significantly intensified social interactions and increased the dominance of the queen in her colony. These findings suggest that plastic pollution has complex, cross-level impacts on bumblebee colonies and their pollination potential, which may be exacerbated under climate change.

ecology↗

ABA increases fatty acids levels in apple roots to boost colonization by arbuscular mycorrhizal fungi

The roots of most land plants are in symbiosis with arbuscular mycorrhizal (AM) fungi. The fungus promotes nutrient uptake from the soil while receiving plant photosynthate as lipids and sugars. Nutrient exchange must be regulated by both partners, but the mechanisms underlying the regulation of lipid supplement from the plant to the AM fungus remain elusive. Here, we conducted a molecular study on the role of increased abscisic acid (ABA) levels during AM fungus infection in the roots of apple (Malus spp.). AM fungus induced the expression of two ABA synthesis genes, MdNCED3.1 and 3.2, in apple roots and increased the ABA content, which promoted the growth of the AM fungus. The effect of ABA on symbiosis was confirmed in transgenic apple roots either overexpressing or silencing MdNCED3.1 or MdNCED3.2. Transcriptome analysis and transgenic manipulation revealed that the transcription factor MdABF2 played a key role in the ABA-mediated formation of symbiosis during AM infection and that MdABF2 could regulate the expression levels of genes related to fatty acid (FA) synthesis (e.g., MdKASIII) and translocation (such as MdSTR2) in apple roots. Activation of these genes boosted the levels of available fatty acids in the roots and increased the AM fungal colonization and arbuscule development in the roots. These results revealed a molecular pathway in which positive regulation of FA synthesis and transport by the ABA signaling pathway increases supplementation to AM fungi and promotes AM symbiosis.

molecular biology↗

Diversification mitigates pesticide but not microplastic effects on bees without compromising rapeseed yield in China

Humanity depends on agriculture for food, fiber and energy provisioning, but input-intensive agricultural production is impacting ecosystem services such as pollination. Pollution effects from neonicotinoid insecticides on pollinators receive much attention, but nothing is known on the synergistic effects with emerging plastic contaminants and the mitigation potential of agricultural diversification. Here, we conduct the first large-scale and full-factorial mesocosm study to understand two-generation effects of diversified floral resources (diversification treatment), neonicotinoid and microplastic pollution (pollution treatments) on Osmia cornifrons bees in 72 mesocosms. In our three-year experiment, we found that diversification can mitigate individual neonicotinoid effects. We did not find any individual or synergistic effects of microplastic on reproductive performance of solitary bees. None of our treatments affected rapeseed yield. Our results confirm the benefits of diversified flower resources to mitigate pesticide effects on bees in China and suggest that microplastics have no acute individual or interaction toxicity in semi-natural environment at realistic exposure levels. Diversified flower resources in Chinese agricultural landscapes to mitigate pesticide pollution effects on pollinators is an important policy argument for pollinator protection with downstream implications for food security.

ecology↗

Modular Design and Scaffold-Synthesis of Multi-Functional Fluorophores for Targeted Cellular Imaging and Pyroptosis

Modified commercial fluorophores are essential tools for optical imaging and biomedical research. Their synthetic modification to incorporate new functions, however, remains a challenging task. Conventional strategies rely on linear synthesis in which a parent framework is gradually extended. We here designed and synthesized a versatile library of functional fluorophores via a scaffold-based Ugi four-component reaction (U-4CR). The adaptability of the scaffold is achieved through modification of starting materials. This allows to use a small range of starting materials for the creation of fluorogenic probes that can detect reactive-oxygen species and where the localization into subcellular organelles or membranes can be controlled. We present reaction yields ranging from 60% to 90% and discovered that some compounds can even function as imaging and therapeutic agents via Fenton chemistry inducing pyroptosis in living cancer cells. Our study underlines the potential of scaffold-based synthesis for versatile creation of functional fluorophores and their applications.

cell biology↗

SOAPy: a Python package to dissect spatial architecture, dynamics and communication

Advances in spatial omics technologies have brought opportunities to dissect tissue microenvironment, while also posing more requirements and challenges for computational methods. Here we developed a package SOAPy to systematically dissect spatial architecture, dynamics and communication from spatial omics data. Specifically, it provides analysis methods for multiple spatial-related tasks, including spatial domain, spatial expression tendency, spatiotemporal expression pattern, cellular co-localization, multi-cellular niches, and ligand-receptor-mediated and spatial-constrained cell communication. Applying SOAPy on different spatial omics technologies and diverse biological fields has demonstrated its power on elucidation of biological questions about tumors, embryonic development, and normal physiological structures. Overall, SOAPy is a universal tool for spatial omics analysis, providing a foundation for continued investigation of the microenvironment.

bioinformatics↗

A mutation-mediated host shift drives Avian paramyxovirus type 1 evolution

PPMV-1, an antigenic variant of APMV-1, associated with specific pigeon host species. However, its evolutionary strategy and underlying drivers of host specificity remain unknown. In this study, we collect the outbreak data on a global scale to investigate its evolutionary dynamics, and provide an evidence-supported analysis the host shift of PPMV-1 from chickens to pigeons, and this shift is driven by the P protein. Our data indicated that the viruses in the United States and China have undergone convergent evolution. We find that three mutations of P protein, especially R163G, can significantly affect the adaptation of APMV-1 in pigeons. Mechanistically, sensor LSm14A inhibits the replication APMV-1 in DF-1 cells, and R163G substitutionon P protein increase LSm14A degradation. We propose the host shift drive the evolution of PPMV-1 and the underlying mechanism, offering new insights into the adaptive evolutionary process of the virus.

microbiology↗

Polyphosphate uses mTOR, pyrophosphate, and Rho GTPase components to potentiate bacterial survival in Dictyostelium

Human macrophages and the eukaryotic microbe Dictyostelium discoideum ingest bacteria by phagocytosis, and then kill the ingested bacteria. Some pathogenic bacteria secrete linear chains of phosphate residues (polyphosphate; polyP), and the polyP causes the phagocytes to not kill the ingested bacteria. In D. discoideum, the effect of polyP requires the G protein-coupled receptor GrlD, suggesting that polyP uses a signal transduction pathway to inhibit killing of ingested bacteria. Here we show that in addition to GrlD, the D. discoideum polyP signaling pathway requires the GPCR interacting arrestin-like protein AdcB, inositol hexakisphosphate kinase A (I6kA), the Rho GTPase RacE, and the TOR component Lst8. D. discoideum also secretes polyP, and at high concentrations polyP inhibits D. discoideum cytokinesis. The polyP inhibition of bacterial killing pathway does not appear to involve many of the polyP inhibition of cytokinesis pathway components. These data suggest the intriguing possibility that if there is a similar polyP inhibition of bacterial killing pathway in macrophages, pharmacologically blocking this pathway could potentiate macrophage killing of pathogenic bacteria. ImportanceAlthough most bacteria are quickly killed after phagocytosis by a eukaryotic cell, some pathogenic bacteria prevent their killing after phagocytosis. Pathogenic Mycobacterium species secrete polyP, and the polyP is necessary for the bacteria to prevent their killing after phagocytosis. Conversely, exogenous polyP prevents the killing of ingested bacteria that are normally killed after phagocytosis by human macrophages and the eukaryotic microbe Dictyostelium discoideum. This suggests the possibility that in these cells, a signal transduction pathway is used to sense polyP and prevent killing of ingested bacteria. In this report, we identify key components of the polyP signal transduction pathway in D. discoideum. In cells lacking these components, polyP is unable to inhibit killing of ingested bacteria. The pathway components have orthologues in human cells, and an exciting possibility is that pharmacologically blocking this pathway in human macrophages would cause them to kill ingested pathogens such as M. tuberculosis.

microbiology↗

Starvation induces extracellular accumulation of polyphosphate in Dictyostelium discoideum to inhibit macropinocytosis, phagocytosis, and exocytosis

Dictyostelium discoideum is a soil-dwelling unicellular eukaryote that accumulates extracellular polyphosphate (polyP). At high cell densities, when the cells are about to overgrow their food supply and starve, the corresponding high extracellular concentrations of polyP allow the cells to preemptively anticipate starvation, inhibit proliferation, and prime themselves to begin development. In this report, we show that starved D. discoideum cells accumulate cell surface and extracellular polyP. Starvation reduces macropinocytosis, exocytosis, and phagocytosis, and we find that these effects require the G protein-coupled polyP receptor (GrlD) and two enzymes, Polyphosphate kinase 1 (Ppk1), which is required for synthesizing intracellular polyP, cell surface polyP, and some of the extracellular polyP, and Inositol hexakisphosphate kinase (I6kA), which is required for cell surface polyP and polyP binding to cells, and some of the extracellular polyP. PolyP reduces membrane fluidity, and we find that starvation reduces membrane fluidity, and this effect requires GrlD and Ppk1 but not I6kA. Together, these data suggest that in starved cells, extracellular polyP decreases membrane fluidity, possibly as a protective measure. In the starved cells, sensing polyP appears to decrease energy expenditure from ingestion, and decrease exocytosis, to both decrease energy expenditures and retain nutrients.

cell biology↗

Wireless closed-loop smart bandage for chronic wound management and accelerated tissue regeneration

Chronic non-healing wounds represent a major source of morbidity for patients and a significant economic burden. Current wound care treatments are generally passive and are unable to adapt to changes in the wound environment in real time. By integrating multimodal sensors and adding stimulators in a bandage, real-time physiological monitoring is possible and provides an opportunity for active intervention into the complex wound environment. Here, we develop a battery-free flexible bioelectronic system consisting of wirelessly powered, closed-loop sensing and stimulation circuits with tissue-interfacing tough conducting hydrogel electrodes for robust signal transduction, on-demand adhesion, and detachment. Using multiple pre-clinical models, we demonstrate the capability of our wound care system to continuously monitor skin impedance and temperature, to trigger directional electrical stimulation. The accelerated wound closure was confirmed to be due to the activation of pro-regenerative genes linked to accelerated wound closure, increased neovascularization, and enhanced dermal recovery.

bioengineering↗

Neuropilin-1 Mediates SARS-CoV-2 Infection in Bone Marrow-derived Macrophages

SARS-CoV-2 infection in human can cause medical complications across various tissues and organs. Despite of the advances to understanding the pathogenesis of SARS-CoV-2, its tissue tropism and interactions with host cells have not been fully understood. Existing clinical data have suggested possible SARS-CoV-2 infection in human skeleton system. In the present study, we found that authentic SARS-CoV-2 could efficiently infect human and mouse bone marrow-derived macrophages (BMMs) and alter the expression of macrophage chemotaxis and osteoclast-related genes. Importantly, in a mouse SARS-CoV-2 infection model that was enabled by the intranasal adenoviral (AdV) delivery of human angiotensin converting enzyme 2 (hACE2), SARS-CoV-2 was found to be present in femoral BMMs as determined by in situ immunofluorescence analysis. Using single-cell RNA sequencing (scRNA-Seq), we characterized SARS-CoV-2 infection in BMMs. Importantly, SARS-CoV-2 entry on BMMs appeared to be dependent on the expression of neuropilin-1 (NRP1) rather than the widely recognized receptor ACE2. It was also noted that unlike brain macrophages which displayed aging-dependent NRP1 expression, BMMs from neonatal and aged mice had constant NRP1 expression, making BMMs constantly vulnerable target cells for SARS-CoV-2. Furthermore, it was found that the abolished SARS-CoV-2 entry in BMM-derived osteoclasts was associated with the loss of NRP1 expression during BMM-to-osteoclast differentiation. Collectively, our study has suggested that NRP1 can mediate SARS-CoV-2 infection in BMMs, which precautions the potential impact of SARS-CoV-2 infection on human skeleton system.

microbiology↗

A Deep Learning Pipeline for Nucleus Segmentation

Deep learning is rapidly becoming the technique of choice for automated segmentation of nuclei in biological image analysis workflows. In order to evaluate the feasibility of training nuclear segmentation models on small, custom annotated image datasets that have been augmented, we have designed a computational pipeline to systematically compare different nuclear segmentation model architectures and model training strategies. Using this approach, we demonstrate that transfer learning and tuning of training parameters, such as the composition, size and pre-processing of the training image dataset, can lead to robust nuclear segmentation models, which match, and often exceed, the performance of existing, off-the-shelf deep learning models pre-trained on large image datasets. We envision a practical scenario where deep learning nuclear segmentation models trained in this way can be shared across a laboratory, facility, or institution, and continuously improved by training them on progressively larger and varied image datasets. Our work provides computational tools and a practical framework for deep learning-based biological image segmentation using small annotated image datasets.

cell biology↗

In Vitro Potent Activity of ε-poly-L-lysine against Candida albicans and the Underlying Mechanisms

ObjectiveThis study aimed to examine the antifungal activity of {varepsilon}-poly-L-lysine ({varepsilon}-PL) against the planktonic cells or biofilms of Candida albicans and explore the underlying mechanism.\n\nMethodsThe minimal inhibitory concentration, minimum fungal concentration, and sessile minimal inhibitory concentration were estimated. The germ tube formation and yeast-to-hypha transformation of C. albicans in different media that induced mycelial growth were recorded. The effect of different concentrations of {varepsilon}-PL on the biofilm formation process and mature biofilm of C. albicans was determined. The reactive oxygen species (ROS) and malondialdehyde (MDA) contents of C. albicans after {varepsilon}-PL treatment were measured. The changes in major virulence genes and proteins of C. albicans were detected.\n\nResults{varepsilon}-PL (512 g/mL) exerted a strong inhibitory effect on C. albicans and biofilms. It blocked the yeast-to-hypha transition and reduced the germ tube formation and germ tube length of C. albicans. The MDA and ROS contents showed an upward trend, indicating a positive correlation with the concentration. Further, {varepsilon}-PL inhibited the high expression of virulence genes in oxidative stress induced by C. albicans. The main peak in the mass spectrum of C. albicans was found to be clear.\n\nConclusions{varepsilon}-PL exerted a significant antifungal effect on the phytoplankton and biofilm of C. albicans. High concentrations of {varepsilon}-PL significantly inhibited the main mycelium of C. albicans. {varepsilon}-PL induced ROS, released cytochrome C, attacked the C. albicans cell membrane to aggravate its lipid oxidation, and inhibited the expression of C. albicans-associated virulence genes and proteins, thereby exerting a bacteriostatic effect.\n\nImportanceThe last two decades have seen a growing trend toward the failure of current antifungal drugs attributed to Candida biofilms. Under appropriate conditions, adherence and colonization of planktonic cells on host tissues and medical devices initiate multicellular organization called biofilm, which is an organized heterogeneous mixture of yeast, hyphae, and pseudohyphal forms embedded in a complex extracellular matrix. Compared with the planktonic cells, biofilms show high resistance to a wide variety of antifungal agents and tolerance to harsh environments and host immune system. Moreover, the development of antifungal drugs is costly, long-term, and difficult. Thus, researchers turned their attention to natural antibacterial peptides, hoping to find an effective antifungal substance or enhance the sensitivity of the existing antifungal drugs to C. albicans.

microbiology↗

Immunogenicity and protective potency of Norovirus GII.17 virus-like particle-based vaccine

Noroviruses (NoVs) are a major cause of acute viral gastroenteritis in adults and children worldwide. Lacking of cell culture system and animals models that must be considered the virus like particles (VLPs) used as an effective vaccine development. In the present study, we investigated the expression of the major capsid protein (VP1) of Genogroup II, genotype 17 (GII.17) NoV using recombinant baculovirus system in insect cells and saliva binding blockade assay to detect their protective potency. Our results showed that GII.17 VLPs could be successfully generated in sf9 insect cells and electron microscopic revealed that GII.17 VLPs was visualized as spherical particles of -35nm in diameter. Immunized mouse with purified VLPs produced GII.17 specific sera and could efficiently block GII.17 VLPs binding to saliva histo-blood group antigens (HBGAs). Together, these results suggested that GII.17 VLPs represent a promising vaccine candidate against NoV GII.17 infection and strongly support further preclinical and clinical studies.

immunology↗