Biology subjects

Ahmad, N.

Publications and source records attributed to Ahmad, N..

At least 19 recordsLinked to original sources

bioRxiv2026

Memory and Hippocampal Responses to Event Boundaries are Modulated by Global Brain States

Our daily experiences unfold as a continuous stream, yet we perceive and remember them as discrete events. Event boundaries, the moments of transition between these events, are known to elicit increases in hippocampal activity believed to reflect memory encoding. However, it remains unknown how this hippocampal response relates to large-scale brain dynamics. Here, using fMRI data from two independent datasets (Sherlock and StudyFor-rest), we applied the Greedy State Boundary Search (GSBS) algorithm to whole-brain activity patterns and identified two recurring global brain states corresponding to the Default Mode Network (DMN) and Task-Positive Network (TPN). We found that event boundaries were associated with an increased probability of being in the TPN state, and that hippocampal activity was generally higher during TPN states. The hippocampal response to event boundaries appeared predominantly during TPN states. When overall state-related differences in baseline hippocampal activity were controlled for, event boundaries elicited a hippocampal response regardless of the concurrent global state. Critically, individual differences in the tendency to shift toward the TPN state at event boundaries; as well as overall time spent at the DMN state predicted subsequent memory for narrative content, whereas univariate hippocampal activity at boundaries did not. These findings demonstrate that hippocampal event boundary responses are modulated by global brain state dynamics, and suggest that the interplay between large-scale network configurations and event segmentation plays a key role in how continuous experience is encoded into memory.

neuroscience↗

bioRxiv2026

Gangliosides GM3 And GD3 Modulate Insulin Aggregation Pathways and Reduce Cytotoxicity Through Structural Remodeling

Insulin amyloid aggregation is a key pathological and pharmaceutical concern, particularly in the context of Type-2 Diabetes (T2D), where amyloid deposition of protein can impair therapeutic efficacy and contribute to cell death leading to local tissue damage. Although gangliosides--glycosphingolipids containing sialic acid residues--are known to modulate amyloid formation in neurodegenerative disorders, their influence on insulin aggregation remains largely unexplored. In this study, we investigate the effects of gangliosides GM3 and GD3 on insulin aggregation. Using Thioflavin-T (ThT) based fluorescence kinetics, Fourier Transform Infrared (FTIR) spectroscopy, Circular Dichroism (CD) spectroscopy, Small Angle X-ray Scattering (SAXS), Nuclear Magnetic Resonance (NMR) spectroscopy, and Transmission Electron Microscopy (TEM), the aggregation pathway, changes in the secondary structure and morphology of insulin aggregates have been characterized. Our results show that both GM3 and GD3 lipids accelerated insulin aggregation in a concentration-dependent manner while steering the pathway away from classical fibril formation, producing short, beaded structures distinct from the extended fibrils observed under lipid-free conditions. CD and FTIR data analyses revealed that insulin in the presence of gangliosides formed non-fibrillar intermediates with distinct secondary structures: {beta}-sheet-rich globular clusters in presence of GD3 and -helical intermediates in GM3-treated samples. Cytotoxicity assays further demonstrated that ganglioside-induced aggregates are significantly less toxic to cells when compared to insulin-only aggregates. Furthermore, ganglioside-bound insulin oligomers retain seeding capacity, suggesting that they can nucleate further aggregation despite their non-fibrillar morphology. These findings underscore the role of gangliosides in modulating insulin amyloid polymorphism and toxicity, offering new insights into their potential impact on the pathology of T2D and treatment strategies. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=121 SRC="FIGDIR/small/703542v1_ufig1.gif" ALT="Figure 1"> View larger version (28K): org.highwire.dtl.DTLVardef@5bf40eorg.highwire.dtl.DTLVardef@f400ddorg.highwire.dtl.DTLVardef@164dcd8org.highwire.dtl.DTLVardef@def4e7_HPS_FORMAT_FIGEXP M_FIG C_FIG HighlightsO_LIGangliosides GD3 and GM3 accelerate insulin aggregation, forming non-fibrillar assemblies. C_LIO_LIGanglioside-bound insulin aggregates are less cytotoxic than fibrillar aggregates. C_LIO_LIDespite altered morphology, ganglioside-bound aggregates retain seeding ability. C_LI

biophysics↗

bioRxiv2025

Thioredoxin interacting protein (TXNIP), a redox regulator, mediates the RAPGEF3/4 signaling dependency in primary melanoma

Progression of cutaneous primary melanoma that arises from melanocytes leads to lethal metastatic disease. Molecular mechanisms that control the growth of primary melanoma in the skin and promote progression are not fully understood. Previously we showed that RAP guanine exchange factors EPAC1/2 (Exchange Protein Activated by cyclic AMP) promote the growth of primary melanoma and loss of dependency on EPACs is associated with metastatic progression. In this study, we show that EPACs are activated during malignant transformation of melanocytes, and chemical inhibition or genetic deletion of EPAC inhibits melanomagenesis in Braf/Pten mice. Low expression of EPAC mRNA and its effector RAP1-GTP protein in primary melanoma correlate with better recurrence-free survival. RNAseq analysis of matched primary and metastatic melanoma cells treated with an EPAC inhibitor showed that TXNIP, an important regulator of redox homeostasis, is a downstream effector of EPAC signaling. We also show that EPACs promote melanoma growth by regulating redox homeostasis and mitochondrial ROS through activation of mechanistic target of rapamycin complex 1 (mTORC1) that stabilizes hypoxia-inducible factor 1-alpha (HIF-1), a transcriptional activator of redox regulator TXNIP and glycolytic enzymes. Our data suggest that targeting mechanisms that melanoma cells employ to bypass EPAC dependency is a potential therapeutic approach. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=134 SRC="FIGDIR/small/696903v2_ufig1.gif" ALT="Figure 1"> View larger version (30K): org.highwire.dtl.DTLVardef@1967afaorg.highwire.dtl.DTLVardef@63b907org.highwire.dtl.DTLVardef@1089da4org.highwire.dtl.DTLVardef@a5b2ef_HPS_FORMAT_FIGEXP M_FIG C_FIG

cancer biology↗

bioRxiv2025

Gastric epithelium from BRCA1 and BRCA2 carriers harbors increased double-stranded DNA damage and augmented growth.

An accumulating body of evidence suggests carriers of a pathogenic germline variant (PGV) in BRCA1 or BRCA2 have increased gastric cancer (GC) risk. BRCA1 and BRCA2 are tumor suppressor genes involved in promoting homologous recombination to repair double-stranded DNA breaks. The aim of this investigation was to identify differences within the gastric epithelium and in patient-derived gastric organoids (PDGOs) between BRCA1 and BRCA2 carriers and non-carriers to determine if evidence of early gastric carcinogenesis exists amongst these carriers. First, using gastric epithelial biopsies, BRCA2 carriers were found to harbor higher expression of the proliferative marker Ki-67 within the antral gastric epithelium and strikingly, biopsies from both BRCA1 and BRCA2 carriers displayed a marked increase in double-stranded DNA damage. These results were further explored using PDGOs, where a growth advantage was observed for both BRCA1 and BRCA2 PDGOs compared to non-carrier PDGOs. Furthermore, both BRCA1 and BRCA2 PDGOs displayed a more pronounced enhancement of Ki-67 expression as well as increased double stranded DNA damage compared to non-carrier PDGOs. Importantly, none of the PDGOs showed signs of BRCA1 or BRCA2 loss of heterozygosity, potentially indicating a haploinsufficient phenotype. Taken together, these novel findings suggest that haploinsufficiency in BRCA1 and BRCA2 carriers may lead to DNA damage in the gastric epithelium, which may serve as an early event contributing to GC development.

cancer biology↗

bioRxiv2025

Multi-Scale Anti-Correlated Neural States Dominate Naturalistic Whole-Brain Activity

The human brains response to naturalistic stimuli is characterized by complex spatiotemporal dynamics. Within these dynamics there is a transitioning structure between sets of anti-correlated neural states that is frequently observed but has not been systematically investigated across scales. In this paper, we use three different naturalistic fMRI datasets to quantify anti-correlation in global and local neural states during naturalistic viewing or listening and investigate their interdependence and their relationship to changes in the stimuli. We demonstrate that continuous naturalistic brain activity shows an anti-correlational structure that spans both global and local spatial scales, with regions in the dorsal attention network showing strong alignment between local and global state transitions. On the global scale, ongoing dynamics are dominated by two antagonistic states that correspond to Default Mode Network and Task Positive Network configurations, with a third transitional state mediating between them. On the local scale, we observe anti-correlated neural states that are associated with periods of relatively high and low brain activity. Across the brain, these are driven by subsets of voxels that are systematically anti-correlated with their areas dominant activity pattern. This antagonism is related to stimulus changes, which tend to trigger a switch to the TPN state globally and to high activity states locally. On the local scale we also see a modality-specific pattern, with visual changes mostly driving transitions in visual cortical regions and auditory changes predominantly affecting auditory and language-related areas. The consistency of these findings across datasets with different stimulus types (audiovisual and purely auditory) indicates that anti-correlated neural states represent a domain-general organizational principle of brain function. We propose that anti-correlated dynamics functionally represent a convergent solution to the fundamental challenge of maintaining coherent internal representations while remaining responsive to meaningful changes in the environment.

neuroscience↗

bioRxiv2025

SISE, free LabView-based software for ion flux measurements

Plant growth and development strongly depend on the uptake of soil minerals and their distribution within plants. Various electrophysiological techniques have been developed to study these ion transport processes, from the single molecule-to whole plant level. An important non-invasive method is provided by Scanning Ion-Selective Electrodes (SISE), which are used to detect ion fluxes. These SISE-measurements depend on software that coordinates the perpetually electrode movement between two positions, as well as data collection and analysis. We developed two LabView-based programs; the SISE-monitor and SISE-analyser that enable ion flux recordings and their analysis, respectively. These applications are freely available, both as windows-executable files that enable routine measurements, as well as the LabView source code that allows deep insights into the routines used for measurement and further development of the programs to include new functions.

biophysics↗

bioRxiv2025

Neural network-based encoding in free-viewing fMRI with precision models

Representations learned by convolutional neural networks (CNNs) exhibit a remarkable resemblance to information processing patterns observed in the primate visual system on large neuroimaging datasets collected under diverse, naturalistic visual stimulation, but with instruction for participants to maintain central fixation. This viewing condition, however, diverges significantly from ecologically valid visual behaviour, suppresses activity in visually active regions, and imposes substantial cognitive load on the viewing task. We present a modification of the encoding model framework, adapting it for use with naturalistic vision datasets acquired under fully natural viewing conditions, without fixation, by incorporating eye-tracking data. Our gaze-aware encoding models were trained on the StudyForrest dataset, which features task-free naturalistic movie viewing. By combining eye-tracking data with the visual content of movie frames, we generate combined subject-wise gaze-stimulus specific feature time series. These time series are constructed by sampling only the locally and temporally relevant elements of the CNN feature map for each fixation. Our results demonstrate that gaze-aware encoding models match the performance of conventional encoding models with 112x fewer model parameters. Gaze-aware encoding models were especially beneficial for participants with more dynamic eye-movement patterns. Therefore, this approach opens the door to more ecologically valid models that can be built in more naturalistic settings, such as playing games or navigating virtual environments.

neuroscience↗

bioRxiv2024

Deficiency in a special dynein DNAH12 causes male infertility by impairing DNAH1 and DNALI1 recruitment in humans and mice

Asthenoteratozoospermia, a prevalent cause of male infertility, lacks a well-defined etiology. DNAH12 is a special dynein featured by the absence of a microtubule-binding domain, however, its functions in spermatogenesis remain largely unknown. Through comprehensive genetic analyses involving whole-exome sequencing and subsequent Sanger sequencing on infertile patients and fertile controls from six distinct families, we unveiled six biallelic mutations in DNAH12 that co-segregate recessively with male infertility in the studied families. Transmission electron microscopy (TEM) revealed pronounced axonemal abnormalities, including inner dynein arms (IDAs) impairment and central pair (CP) loss in sperm flagella of the patients. Mouse models (Dnah12-/- and Dnah12mut/mut) were generated and recapitulated the reproductive defects in the patients. Noteworthy, DNAH12 deficiency did not show effects on cilium organization and function. Mechanistically, DNAH12 was confirmed to interact with two other IDA components DNALI1 and DNAH1, while disruption of DNAH12 leads to failed recruitment of DNALI1 and DNAH1 to IDAs and compromised sperm development. Furthermore, DNAH12 also interacts with radial spoke head proteins RSPH1, RSPH9, and DNAJB13 to regulate CP stability. Moreover, the infertility of Dnah12-/- mice could be overcome by intracytoplasmic sperm injection (ICSI) treatment. Collectively, DNAH12 plays a crucial role in the proper organization of axoneme in sperm flagella, but not cilia, by recruiting DNAH1 and DNALI1 in both humans and mice. These findings expand our comprehension of dynein component assembly in flagella and cilia and provide a valuable marker for genetic counseling and diagnosis of asthenoteratozoospermia in clinical practice.

genetics↗

bioRxiv2022

Comparative genomics and integrated system biology approach unveiled undirected phylogeny patterns, mutational hot spots, functional patterns and molecule repurposing for monkey pox virus

Monkeypox is a viral zoonosis with symptoms that are reminiscent to those experienced in previous smallpox cases. GSAID databases (Global Initiative on Sharing Avian Influenza Data) was used to assess 630 genomes of MPXV. Six primary clades were inferred from the phylogenetic study, coupled with a lesser percentage in radiating clades. Individual clades that make up various nationalities may have formed as a result of a particular SNP hotspot type, which may have mutated in a particular population type. The most significant mutation, based on a mutational hotspot analysis, was found at G3729A and G5143A. The gene ORF138, which encodes the Ankyrin repeat (ANK) protein, was found to have the most mutations. This protein is known to mediate molecular recognition via protein-protein interactions. It was shown that 243 host proteins interacted with 10 monkeypox proteins identified as the hub proteins E3, SPI2, C5, K7, E8, G6, N2, B14, CRMB, and A41 through 262 direct connections. The interaction with chemokine system-related proteins provides further evidence that the human protein is being suppressed by the monkey pox virus in order to facilitate its survival against innate immunity. A few FDA-approved molecules were likely used as possible inhibitors after being researched for blocking F13, a significant envelope protein on the membrane of extracellular versions of virus. A total of 2500 putative ligands were docked individually with the F13 protein. The F13 protein and these molecules interaction may help prevent the monkey pox virus from spreading. As a result, after being confirmed by experiments, these putative inhibitors might have an impact on the activity of these proteins and be utilised in monkeypox treatments.

genomics↗

bioRxiv2022

Wound healing and anti-inflammatory potential of Ajuga bracteosa-conjugated silver nanoparticles in Balb/c mice

BackgroundWound therapy is complicated, uncomfortable for the patient, and costly for the health-care system. Silver nanoparticles (AgNP) have antibacterial characteristics that can prevent bacterial infection in wounds and speed up wound healing ObjectiveThe aim of current research was to investigate the wound healing and anti-inflammatory potential of biogenic synthesized silver nanoparticles (ABAgNP) using Ajuga bracteosa (ABaqu) in Swiss albino mice. MethodsIn vivo wound healing and anti-inflammatory activities were carried out using Bala/c mice. For in vivo screening of 200 mg/kg and 400 mg/kg of both ABAgNPs and ABaqu were used. Liver and kidney functional markers, hematology, and histopathological studies were carried out after 14 days of administration. ResultsThe obtained biogenic nanoparticles were characterized, dermal toxicity, wound excision repairing, and formalin-induced paw edema assays were performed in Swiss albino mice. Dermal toxicity showed that tested concentrations of ABaqu and ABAgNPs were safe. No adverse effects, changes, and alteration in the skin of treatment groups as well as the control vehicle group (petroleum jelly) were recorded. Results revealed that the enhanced wound contraction was observed in ABaqu, ABAgNP, and the Nitrofuranose treated groups from 7th to 11thdays. The anti-inflammatory activity in formalin-induced paw edema model illustrated the potential use of silver nanoparticles ABAgNPs and ABaqu as a reducing or inflammation inhibiting agents due to the release of acute inflammatory mediators. ConclusionTherefore, it was concluded that both silver nanoparticles (ABAgNP) and Ajuga bracteosa (ABaqu) extracts could be used as a wound healing and anti-inflammatory agents.

zoology↗

bioRxiv2022

Wheat pollen uptake of CRISPR/Cas9 RNP-PDMAEMA nanoassemblies results in targeted loss of gene function in progeny

The utility of CRISPR in plants has remained limited by the dual difficulties of delivering the molecular machinery to target cells and the use of somatic cell techniques that require tissue culture-based de novo organogenesis. We developed 5-10 nm isodiametric polyplex nanoassemblies, comprising poly [2-(dimethylamino)ethylmethacrylate] PDMAEMA (PD) polycationic linear homopolymers and CRISPR/Cas9 ribonucleoproteins (RNPs), that enable endocytosis-driven RNP uptake into pollen grains. Pollen from wheat plants (genotype Gladius+Sr50), homozygous for monogenic Sr50-mediated resistance to stem rust (Puccinia graminis f. sp. tritici -Pgt), were incubated with RNP/PD nanoassemblies targeting the dominant, Sr50 rust resistance gene. The treated pollen grains were then used to fertilize Gladius+Sr50 florets and the resulting M1 plants were tested for loss of Sr50 function via rust resistance screens. The identification of fully susceptible M1 seedlings indicated that the Sr50 RNPs acted on both alleles, indicating they were transferred via the treated pollen to the zygote. The ability to readily deliver CRISPR RNPs to reproductive cells via biodegradable, polymeric nanocomplexes has significant implications for the efficiency of gene editing in plants.

plant biology↗

bioRxiv2022

Optimization of Neuroprosthetic Vision via End-to-end Deep Reinforcement Learning

Visual neuroprostheses are a promising approach to restore basic sight in visually impaired people. A major challenge is to condense the sensory information contained in a complex environment into meaningful stimulation patterns at low spatial and temporal resolution. Previous approaches considered task-agnostic feature extractors such as edge detectors or semantic segmentation, which are likely suboptimal for specific tasks in complex dynamic environments. As an alternative approach, we propose to optimize stimulation patterns by end-to-end training of a feature extractor using deep reinforcement learning agents in virtual environments. We present a task-oriented evaluation framework to compare different stimulus generation mechanisms, such as static edge-based and adaptive end-to-end approaches like the one introduced here. Our experiments in Atari games show that stimulation patterns obtained via task-dependent end-to-end optimized reinforcement learning result in equivalent or improved performance compared to fixed feature extractors on high difficulty levels. These findings signify the relevance of adaptive reinforcement learning for neuroprosthetic vision in complex environments.

bioengineering↗

bioRxiv2021

Maf1, a repressor of RNA polymerase III-dependent transcription, regulates bone mass

Maf1, a key repressor of RNA polymerase III-mediated transcription, has been shown to promote mesoderm formation in vitro. Here, we show, for the first time, that Maf1 plays a critical role in the regulation of osteoblast differentiation and bone mass. A high bone mass phenotype was noted in mice with global deletion of Maf1 (Maf1-/- mice), as well as paradoxically, in mice that overexpressed MAF1 in cells of the osteoblast lineage (Prx1-Cre;LSL-Maf1 mice). Osteoblasts isolated from Maf1-/- mice showed reduced osteoblastogenesis ex vivo. Prx1-Cre;LSL-MAF1 mice showed enhanced osteoblastogenesis concordant with their high bone mass phenotype. Thus, the high bone mass phenotype in Maf1-/- mice is likely due to the confounding effects of the global absence of Maf1 in Maf1-/- mice. Expectedly, MAF1 overexpression promoted osteoblast differentiation and shRNA-mediated Maf1 downregulation inhibited differentiation of ST2 cells, overall indicating Maf1 enhances osteoblast formation. We also found that, in contrast to MAF1 overexpression, other perturbations that repress RNA pol III transcription, including Brf1 knockdown and the chemical inhibition of RNA pol III by ML-60218, inhibited osteoblast differentiation. All perturbations that decrease RNA pol III transcription, however, enhanced adipogenesis in ST2 cell cultures. RNA-seq was used to determine the basis for these opposing actions on osteoblast differentiation. The modalities used to alter RNA pol III transcription resulted in distinct changes gene expression, indicating that this transcription process is highly sensitive to perturbations and triggers diverse gene expression programs and phenotypic outcomes. Specifically, Maf1 induced genes in ST2 cells known to promote osteoblast differentiation. Furthermore, genes that are induced during osteoblast differentiation displayed codon bias. Together, these results reveal a novel role for Maf1 and RNA pol III-mediated transcription in osteoblast fate determination and differentiation and bone mass regulation.

cell biology↗

bioRxiv2021

Allosteric cooperation in β-lactam binding to a non-classical transpeptidase

Mycobacterium tuberculosis peptidoglycan (PG) is atypical as its synthesis involves a new enzyme class, L,D-transpeptidases. Prior studies of L,D-transpeptidases have identified only the catalytic site that binds to peptide moiety of the PG substrate or {beta}-lactam antibiotics. This insight was leveraged to develop mechanism of its activity and inhibition by {beta}-lactams. Here we report identification of an allosteric site at a distance of 21 [A] from the catalytic site that binds the sugar moiety of PG substrates (hereafter referred to as the S-pocket). This site also binds a second {beta}-lactam molecule and influences binding at the catalytic site. We provide evidence that two {beta}-lactam molecules bind co-operatively to this enzyme, one non-covalently at the S-site and one covalently at the catalytic site. This dual {beta}-lactam binding phenomenon is previously unknown and is an observation that may offer novel approaches for the structure-based design of new {beta}-lactam antibiotics for M. tuberculosis.

biochemistry↗

bioRxiv2021

Patterns and Progress of Peninsular Malaysia's Amphibian Research in the 21st Century (2000-2020)

In this study, we review the status, patterns, and progress of Peninsular Malaysias amphibian research in the 21st century with the main goal of identifying areas for improvement that can help focus and prioritize future research initiatives. Between 2000-2020 we found 130 publications that can be broadly categorized into four groups: 1) checklists and biodiversity; 2) new species and taxonomy; 3) ecology and natural history; and 4) evolution and phylogenetics. An average of 6.5 papers was published per year and although the number of papers fluctuated, there was a significant upward trend in the number of papers published. Almost half (49%) of all papers published comprised checklists and biodiversity-related papers. This was followed by new species and taxonomy (25%, 33 papers), evolution and phylogenetics (14%, 18 papers), and ecology and natural history (12%, 16 papers). Amphibian research was conducted most frequently in the states of Kedah, Pahang, and Perak, and most infrequently in the states of Malacca, Negeri Sembilan, Selangor/Kuala Lumpur, Perlis, and Kelantan. Despite being a megadiverse country and a biodiversity hotspot, not a single conservation-centric paper has ever been published on Peninsular Malaysian amphibians, highlighting the urgent need for future research to focus on conservation.

scientific communication and education↗

bioRxiv2021

Predictive coding is a consequence of energy efficiency in recurrent neural networks

Predictive coding represents a promising framework for understanding brain function. It postulates that the brain continuously inhibits predictable sensory input, ensuring a preferential processing of surprising elements. A central aspect of this view is its hierarchical connectivity, involving recurrent message passing between excitatory bottom-up signals and inhibitory top-down feedback. Here we use computational modelling to demonstrate that such architectural hard-wiring is not necessary. Rather, predictive coding is shown to emerge as a consequence of energy efficiency. When training recurrent neural networks to minimise their energy consumption while operating in predictive environments, the networks self-organise into prediction and error units with appropriate inhibitory and excitatory interconnections, and learn to inhibit predictable sensory input. Moving beyond the view of purely top-down driven predictions, we furthermore demonstrate, via virtual lesioning experiments, that networks perform predictions on two timescales: fast lateral predictions among sensory units, and slower prediction cycles that integrate evidence over time.

neuroscience↗

bioRxiv2020

Green Fabricated Zinc Oxide Nanoformulated Media Enhanced Callus Induction and Regeneration Dynamics of Panicum virgatum L.

The current study was focused on the usage of bio synthesized zinc oxide nanoparticles to increase the tissue culture efficiency of important forage grass Panicum virgatum. Zinc being a micronutrient enhanced the callogenesis and regeneration efficiency of Panicum virgatum at different concentrations. Here, we synthesized zinc oxide nanoparticles through Cymbopogon citratus leaves extract to evaluate the influence of zinc oxide nanoparticles on the quality of plant regeneration in switchgrass. X-ray diffraction (XRD) and attenuated total reflectance-Fourier transform infrared (ATR-FTIR) validate phase purity of green synthesize Zinc oxide nanoparticles whereas, electron microscopy (SEM) has illustrated the average size of particle 50{+/-}4 nm with hexagonal rod like shape. Energy dispersive Xray (EDS) spectra depict major peaks of Zn (92.68%) while minor peaks refer to Oxygen (7.32%). ZnO NPs demonstrate the incredibly promising results against callogenesis. Biosynthesized ZnO NPs at optimum concentration showed very promising effect on plant regeneration ability. Both the explants, seeds and nodes used in study showed dose dependent response and upon high doses exceeding 40 mg/L the results were recorded negative, whereas at 30 mg/L both explants demonstrate 70 % and 76 % regeneration frequency. The results conclude that zinc oxide nanoparticles enhance plant growth and development. Being one of the essential plant nutrients, ZnO has greatly tailored the nutritive properties at nano-scale.

plant biology↗

bioRxiv2019

A genomic approach to inferring kinship reveals limited intergenerational dispersal in the yellow fever mosquito

Understanding past dispersal and breeding events can provide insight into ecology and evolution, and can help inform strategies for conservation and the control of pest species. However, parent-offspring dispersal can be difficult to investigate in rare species and in small pest species such as mosquitoes. Here we develop a methodology for estimating parent-offspring dispersal from the spatial distribution of close kin, using pairwise kinship estimates derived from genome-wide single nucleotide polymorphisms (SNPs). SNPs were scored in 162 Aedes aegypti (yellow fever mosquito) collected from eight close-set, high-rise apartment buildings in an area of Malaysia with high dengue incidence. We used the SNPs to reconstruct kinship groups across three orders of kinship. We transformed the geographical distances between all kin pairs within each kinship category into axial standard deviations of these distances, then decomposed these into components representing past dispersal events. From these components, we isolated the axial standard deviation of parent-offspring dispersal, and estimated neighbourhood area (129 m), median parent-offspring dispersal distance (75 m), and oviposition dispersal radius within a gonotrophic cycle (36 m). We also analysed genetic structure using distance-based redundancy analysis and linear regression, finding isolation by distance both within and between buildings and estimating neighbourhood size at 268 individuals. These findings indicate the scale required to suppress local outbreaks of arboviral disease and to target releases of modified mosquitoes for mosquito and disease control. Our methodology is readily implementable for studies of other species, including pests and species of conservation significance.

ecology↗