Does anthropogenic fragmentation selectively filter avian phylogenetic diversity in a critically endangered forest system?

Summary Documenting phylogenetic diversity for conservation practice allows elucidation of ecosystem functioning and processes by highlighting the commonality and divergence of species’ functional traits within their evolutionary context. Conserving distinct evolutionary histories has intrinsic value, and the conservation of phylogenetically diverse communities is more likely to preserve distinct or relic evolutionary lineages. We explored the potential for anthropogenic forest fragmentation to act as a selective filter of avian phylogenetic diversity within the community of forest-dependent birds of the critically endangered Indian Ocean Coastal Belt Forest (IOCBF), South Africa. We conducted avian point count surveys during the austral breeding season, and calculated fragmentation metrics of forest structural complexity, patch size and isolation. We constructed a maximum likelihood phylogeny using the combined analysis of two mitochondrial genes and three nuclear markers and measured the influence of the fragmentation metrics on six measures of phylogenetic diversity. Our results indicated that the avian community was variously affected by anthropogenic forest fragmentation, with the different metrics of phylogenetic diversity responding with no definitive overall pattern. However, forest structural complexity emerged as an important metric explaining phylogenetic structuring. While the avian community’s phylogenetic diversity displayed resilience to anthropogenic fragmentation, previous research showed a reduction in functional diversity along the fragmentation gradient. Therefore, we recommend studies that especially aim to guide conservation management, incorporate both phylogenetic and functional diversity measures to sufficiently interrogate communities’ resilience to the threats under investigation.

Blood-Brain Barrier Therapeutics for Neurological Diseases

The Blood-Brain Barrier (BBB) is a highly selective filter responsible for allowing certain gases such as oxygen and lipid-soluble molecules to pass (Anand 2014). Its selectiveness makes it challenging for many therapeutics to combat Alzheimer’s and Parkinson’s disease with external drug therapies. Large-molecule drug therapies never pass the BBB while small-molecule drugs pass only about 5% of the time (Pardridge 2005). In Alzheimer’s disease, tight junctions between endothelial cells degrade, causing an unregulated accumulation of amyloid-β (Aβ) protein (Ramanathan 2015). Consequently, this leads to the formation of neurofibrillary tangles that cut off the nutrient supply to the brain cells and kill neurons (Ramanathan 2015). In Parkinson’s disease, astrocyte mutations cause a build-up of α-synuclein (αSyn) which affects the neuroinflammatory response and causes dysfunction in dopaminergic neurons (Booth 2017; Meade 2019). New drug therapies for Alzheimer’s and Parkinson’s continue to undergo trials; some such as FPS-ZM1 and tilavonemab for Alzheimer’s and Ravicti for Parkinson’s have shown promising results. In addition, similarities in dysfunction for both diseases and some types of cancer have sparked possibilities in retargeting cancer drugs to improve Alzheimer's and Parkinson’s pathologies. This review will summarize current therapeutic advancements for Alzheimer’s and Parkinson’s disease and their possible future contributions.

Diffusion-Based Separation of Extracellular Vesicles by Nanoporous Membrane Chip

Extracellular vesicles (EVs) have emerged as novel biomarkers and therapeutic material. However, the small size (~200 nm) of EVs makes efficient separation challenging. Here, a physical/chemical stress-free separation of EVs based on diffusion through a nanoporous membrane chip is presented. A polycarbonate membrane with 200 nm pores, positioned between two chambers, functions as the size-selective filter. Using the chip, EVs from cell culture media and human serum were separated. The separated EVs were analyzed by nanoparticle tracking analysis (NTA), scanning electron microscopy, and immunoblotting. The experimental results proved the selective separation of EVs in cell culture media and human serum. Moreover, the diffusion-based separation showed a high yield of EVs in human serum compared to ultracentrifuge-based separation. The EV recovery rate analyzed from NTA data was 42% for cell culture media samples. We expect the developed method to be a potential tool for EV separation for diagnosis and therapy because it does not require complicated processes such as immune, chemical reaction, and external force and is scalable by increasing the nanoporous membrane size.

The effectiveness of soaking duration on blood cockles (Anadara granosa) with activated charcoal towards reducing metals lead (Pb)

Blood cockle (Anadara granosa) is one of the marine biotas that can be used as a bioindicator of the pollution level of sea water. The nature of blood cockle stays in one place because of their slow movement and they are non-selective filter feeders which filter water in order to get food. The use of activated charcoal during soaking is to keep the food safety from blood cockle contaminated with heavy metals. The purpose of this study is to determine the effectivity test of soaking duration on blood cockle (Anadara granosa) and activated charcoal toward reducing metals lead (Pb). This study employed Randomized Complete Design (RCD) using three different soaking periods such as 30 minutes, 60 minutes, and 90 minutes. The samples were analyzed by Inductively Coupled Plasma Emission (ICPE). The parametric data was analyzed with One Way Anova test. The result of the study showed that the soaking duration among 30 minutes, 60 minutes, and 90 minutes in activated charcoal showed significantly different (P< 0.05) toward the levels of lead.

Polymer-Stabilized Blue Phase and Its Application to a 1.5 µm Band Wavelength Selective Filter

The use of polymer-stabilized blue phase (PSBP) including a tolane-type liquid crystal was investigated to develop a voltage-controlled wavelength selective filter for wavelength-division-multiplexing optical fiber network. It was found that the tolane-type liquid crystal introduction can increase both a blue-phase temperature range and a Kerr coefficient. A Fabry–Perot etalon filled with PSBP functioned as a wavelength selective filter, as expected. The tuning wavelength range was 62 nm although peak transmission was not as high as expected. Numerical analysis suggested that light absorption in transparent electrodes may cause the issue. Minor change to the etalon structure will result in improved performance.

A mechanistic switch from selective transporter to an ion channel impairs the filamentation signalling capability of ammonium transceptors in yeast

Ammonium translocation through biological membranes by the ubiquitous Amt-Mep-Rh family of transporters plays a key role in all domains of life. Two highly conserved histidine residues protrude into the lumen of these transporters, forming the family’s characteristic Twin-His motif. It has been hypothesized that the motif is essential to confer the selectivity of the transport mechanism. Here, using a combination of in vitro electrophysiology, in vivo yeast functional complementation and in silico molecular dynamics simulations, we demonstrate that variations in the Twin-His motif trigger a mechanistic switch between a specific transporter, depending on ammonium deprotonation, to an unspecific ion channel activity. We therefore propose that there is no selective filter that governs the specificity in Amt-Mep transporters but the inherent mechanism of translocation, dependent on the fragmentation of the substrate, ensures the high specificity of the translocation. We further show that both mechanisms coexist in fungal Mep2 Twin-His variants, disrupting the transceptor function and so inhibiting the filamentation process. These data strongly support a transport mechanism-mediated signalling process in the long-standing debate on the sensory function of Mep2-like transporters.

The Major Intrinsic Protein Family and Their Function Under Salt-Stress in Peanut

Peanut (Arachis hypogaea) is an important oil crop cultivated across the world. Abiotic stresses are the major constraint factors that defect its yield, especially in the rainfed peanut cultivation areas. Aquaporins are proteins that form a large family of more than 30 members in higher plants and play key roles in plant water balance under abiotic stress conditions. To comprehensively understand the functions of aquaporins in peanut, we identified their family genome-wide and characterized the phylogenetics, gene structure, and the conserved motif of the selective filter. In total, 64 aquaporin isoforms were identified, the NIPs were firstly categorized into NIP1s and NIP2s groups based on the phylogenetic analysis and the selective filter structure classification system. Further, we analyzed the gene expression pattern under the salt-stress conditions and found that a TIP3 member is strongly induced by salt stress, which in turn contributed to improved seed germination under salt stress when expressed in Arabidopsis. Our study thus provides comprehensive profiles on the MIP superfamily and their expression and function under salt-stress conditions. We believe that our findings will facilitate the better understanding of the roles of aquaporins in peanuts under salt salt-stress conditions.

Demosaicing by Differentiable Deep Restoration

A mosaic of color filter arrays (CFAs) is commonly used in digital cameras as a spectrally selective filter to capture color images. The captured raw image is then processed by a demosaicing algorithm to recover the full-color image. In this paper, we formulate demosaicing as a restoration problem and solve it by minimizing the difference between the input raw image and the sampled full-color result. This under-constrained minimization is then solved with a novel convolutional neural network that estimates a linear subspace for the result at local image patches. In this way, the result in an image patch is determined by a few combination coefficients of the subspace bases, which makes the minimization problem tractable. This approach further allows joint learning of the CFA and demosaicing network. We demonstrate the superior performance of the proposed method by comparing it with state-of-the-art methods in both settings of noise-free and noisy data.

Insights into the Mechanisms of Transport and Regulation of the Arabidopsis High-affinity K+ Transporter HAK5

The high-affinity K+ transporter HAK5 from Arabidopsis is essential for K+ acquisition and plant growth at low micromolar K+ concentrations. Despite its functional relevance in plant nutrition, information about functional domains of HAK5 is scarce. Its activity is enhanced by phosphorylation via the AtCIPK23/AtCBL1-9 complex. Based on the recently published 3D-structure of the bacterial ortholog KimA from Bacillus subtilis, we have modeled AtHAK5 and, by a mutational approach, identified residues G67, Y70, G71, D72, D201, and E312 as essential for transporter function. According to the structural model, residues D72, D201, and E312 may bind K+, whereas residues G67, Y70, and G71 may shape the selective filter for K+, which resembles that of K+shaker-like channels. In addition, we show that phosphorylation of residue S35 by AtCIPK23 is required for reaching maximal transport activity. Serial deletions of the AtHAK5 C-terminus disclosed the presence of an autoinhibitory domain located between residues 571 and 633 together with an AtCIPK23-dependent activation domain downstream of position 633. Presumably, autoinhibition of AtHAK5 is counteracted by phosphorylation of S35 by AtCIPK23. Our results provide a molecular model for K+ transport and describe CIPK-CBL-mediated regulation of plant HAK transporters.