Biology subjects

Ahmad, B.

Publications and source records attributed to Ahmad, B..

12 recordsLinked to original sources

bioRxiv2026

The nuclear actin cytoskeleton supports DNA double-strand break repair via VCP-mediated extraction of the KU70/80 complex from damaged chromatin

Double-strand breaks (DSBs) are critical lesions in genomic DNA, and their accurate repair is essential for maintaining genome stability. The nuclear actin cytoskeleton has been implicated in homology-directed repair (HDR) of DSBs. However, the underlying mechanism remains poorly understood. Here, we report that Myosin VI (Myo6), an actin-based motor protein, cooperates with F-actin in end resection and DSB mobilization. Our findings reveal that Myo6 directly interacts with both KU70 and the ubiquitin-dependent segregase VCP to facilitate the extraction of the KU70/80 complex from chromatin. This process is supported by F-actin, revealing an interplay between nuclear actin dynamics and the DSB repair machinery. By elucidating the function of Myo6 and its direct interactions with key repair factors, our study provides mechanistic insight into how repair mechanisms rely on nuclear actin to safeguard genome integrity.

cell biology↗

bioRxiv2026

OsRAD23a negatively regulates salt tolerance and phosphorus uptake in rice

Salinity stress affects rice productivity due to reduced growth and sodium ion toxicity. Previously, we identified a splice variant of RADIATION SENSITIVE23a (RAD23a) as the potential basis for variation in salt-tolerance in rice germplasm. RAD23 is a known moonlighting protein associated with protein degradation. To validate the role of RAD23a in salt stress response, we characterized gene edited mutant lines that targeted the UBL and UBA2 domains of this protein. Mutation in either domain promoted shoot growth under saline and control conditions. The mutants also differed from wildtype plants in Na and K accumulation in roots and shoots under salt stress. Transcriptome analysis of mutants versus wildtype showed differential transcript abundance of multiple inorganic phosphate (Pi) starvation related genes, including OsSPX2 and OsPHO2. As a result, mutants accumulate higher Pi compared to wildtype plants. The two allelic groups for RAD23a locus also differ in root and shoot phosphorus (P) content. Further, we show that RAD23a interacts with OsSPX2, a negative post-translational regulator of OsPHR2, the master regulator of Pi starvation response. Mutants have higher shoot growth and Pi levels under low Pi conditions, linking enhanced growth of mutants to increased Pi uptake. The UBA2 domain specific mutants have higher single grain weight and per plant grain weight than wildtype. In summary, we show that the RAD23a regulates differential growth, salt response and Pi uptake in rice in a domain-specific manner supporting the moonlighting roles of RAD23a in salt tolerance and phosphorus-dependent shoot growth.

plant biology↗

bioRxiv2026

GLABRA2 regulates gene expression via its own EAR-motif mediated recruitment of the TPL/TPR corepressors

The Arabidopsis HD-Zip IV transcription factor GLABRA2 (GL2) displays dual regulatory capabilities, as an activator and repressor of genes that mediate cell-type differentiation of the epidermis. GL2 binds L1 box elements in the promoters of its target genes; however, the mechanisms by which it controls gene expression remain elusive. GL2 contains two putative ethylene-responsive element-binding factor-associated amphiphilic repression (EAR) motifs proximal to its N- and C-termini. The N-terminal EAR motif is highly conserved among GL2 orthologs that form a distinct clade of HD-Zip IV transcription factors in monocots and dicots. We demonstrate that deletion or Ala substitution of this N-terminal EAR motif results in a partial loss-of-function phenotypes in trichomes, non-hair root cells, and seed coat mucilage. In contrast, mutations affecting the C-terminal EAR motif display improper nuclear localization, likely due to protein misfolding. Yeast two-hybrid and in planta co-immunoprecipitation assays show that GL2 selectively interacts with the TOPLESS (TPL) and TPL-RELATED (TPR) corepressors via its N-terminal EAR motif. Fusion of the SUPERMAN REPRESSIVE DOMAIN X (SRDX) with the gl2 N-terminal EAR motif mutant (gl2EAR-N) rescues the epidermal defects of gl2 mutants. Transcriptome analysis of mutant and wild-type seedling roots further confirms the role of the GL2 N-terminal EAR motif in tuning gene expression. Our findings support a model whereby GL2 recruits TPL/TPR corepressors via its EAR motif to sequester histone-modifying proteins, resulting in chromatin remodeling required for epidermal development.

plant biology↗

bioRxiv2026

Adipocyte Expression of O-Glycoprotein Procollagen C-Endopeptidase Enhancer Protein 2 (PCPE2): Mechanisms Linking Fibrosis and Beiging of White Adipose Tissue

BackgroundProcollagen C-endopeptidase enhancer protein 2 (Pcpe2) has been primarily investigated in collagen processing during wound healing and is assumed to function similarly to Pcpe1 in the extracellular matrix (ECM). Our studies suggest that Pcpe2 has unique structural and functional features not shared with Pcpe1. MethodsTo study the role of Pcpe2 in adipose tissue remodeling, we created adipose tissue-specific knockout of Pcpe2 (TgAd+Pcpe2KO) and adipose tissue-specific Pcpe2 overexpressing (TgAd+Pcpe2Ox) mice and performed in vivo and ex vivo experiments. ResultsWe show that TgAd+Pcpe2KO mice are resistant to WD-induced obesity and exhibit reductions in body and fat pad mass. Promethion cage studies showed no significant differences in lean mass or food intake, yet WD-fed TgAd+Pcpe2KO mice exhibited significantly higher energy expenditure than negative Cre littermate controls. WD-fed TgAd+Pcpe2KO mice also showed reduced plasma glucose and lipoprotein lipid concentrations compared to controls. While markers of adipose tissue inflammation were reduced in WD-fed TgAd+Pcpe2KO mice. Examination of mature adipocytes from white adipose tissue showed that WD consumption greatly stimulated Pcpe2 expression, while no change in Pcpe2 expression in the stromal vascular cells was noted. However, in VAT precursor cells (PCs), the CD140b+ population showed a shift from fibroadipogenic precursors towards adipocyte PCs in TgAd+Pcpe2KO mice. This shift in PCs may account for the attenuation of local inflammation and fibrosis in the absence of Pcpe2. Ex vivo differentiation of adipose PCs showed that loss of Pcpe2 enhanced adipocyte differentiation, reducing TGF{beta}-like signaling via pSmad2/3, and increasing mitochondrial function. Furthermore, unlike Pcpe1, Pcpe2 contains a mucin-like linker domain with nine sites of O-linked glycosylation which may regulate receptor signaling at the plasma membrane. ConclusionsOur results show the ECM O-glycoprotein Pcpe2 is a robust marker of unhealthy adipose tissue expansion in humans and mice and contributes to inflammation and fibrosis associated with WD-induced obesity.

cell biology↗

bioRxiv2026

Deformable Models-Based Retinal OCT Layer Segmentation and Classification with Feature Analysis

Optical coherence tomography (OCT) is widely used for retinal disease assessment, but automated quantitative analysis remains challenging because of anatomical variability and noisy imaging conditions. This study presents an interpretable OCT classification framework based on four anatomically guided retinal layers, combining preprocessing, adaptive segmentation, targeted feature engineering, and supervised classification to identify Normal, CNV, DME, and Drusen cases. Layer-specific descriptors included statistical, derivative, fluid-related, and GLCM texture markers. Feature correlation and ranking analyses showed that the proposed descriptors were highly complementary, that the most informative features were concentrated in layers 2 and 4, and that layers 1 and 3 contributed supportive structural information. Among the evaluated classifiers, the neural network performed best, achieving an accuracy of 98.17%, sensitivity of 97.88%, specificity of 99.38%, and AUC of 0.9985. Computational analysis showed efficient training and inference, with a total training time of 2216.3 s, prediction speed of approximately 160000 observations per second, and a compact model size of about 11 kB. These results demonstrated that anatomically guided feature extraction can provide accurate, efficient, and interpretable OCT disease classification, offering a practical alternative to less transparent end-to-end deep learning approaches.

bioinformatics↗

bioRxiv2026

ATML1-GIR1-TPL/TPR transcriptional repression module controls glucosinolates and giant cells in Arabidopsis thaliana sepals

Glucosinolates (GSLs) are sulfur- and nitrogen-containing secondary metabolites that serve as defense compounds in Arabidopsis and other members of the Brassicales. Although the enzymatic pathway that produces GSLs is well-studied, the upstream mechanisms that control their tissue-specific synthesis are poorly understood. We identified a novel repression module that transcriptionally regulates GSL levels in sepals, the modified leaves that protect reproductive tissues within the floral bud. GLABRA2 (GL2) INTERACTING REPRESSOR1 (GIR1) interacts directly with Arabidopsis thaliana MERISTEM LAYER1 (ATML1), an HD-Zip IV transcription factor known to be required for giant cell formation in the sepal epidermis. This interaction requires a predicted Zn finger of GIR1 and the C-terminal START adjacent domain (STAD) of ATML1. The gir1 loss-of-function mutants exhibit excess giant cells, in contrast to atml1 mutants which display fewer giant cells, supporting the role of GIR1 as a negative regulator of ATML1. We confirmed that GIR1 interacts with TOPLESS (TPL) and TOPLESS-RELATED (TPR) corepressors, and coimmunoprecipitation demonstrated that GIR1 acts as an adaptor protein connecting ATML1 and TPL/TPR. RNA sequencing revealed that numerous genes involved in GSL biosynthesis, including the key transcriptional regulator MYB29, are upregulated in gir1 mutants. Consistent with the transcriptomic data, chemical analysis revealed that gir1 mutants display elevated GSL levels in sepals. Mass spectrometry imaging confirmed high GSL accumulation in gir1 sepals compared to wild type and atml1. Overall, our findings uncover a previously unrecognized link between cell expansion and GSL metabolism, suggesting strategies for engineering plants with cell-type specific GSL profiles. Significance StatementPlants belonging to the order Brassicales produce sulfur-containing glucosinolate (GSL) metabolites that serve in defense against herbivory. In cruciferous vegetables such as broccoli and kale, these compounds contribute to their unique flavors and health-promoting attributes. In agriculturally important oilseed crops, they affect the palatability of animal feeds. Here, we identified a novel transcriptional regulatory module that controls GSL biosynthesis in the epidermis of the sepal, the floral organ that protects the reproductive tissues. This regulatory module also controls cell expansion of specific cell types in the sepal, demonstrating a surprising connection between cell growth and a chemical defense pathway in plants. Our results suggest strategies for engineering crops with tissue-specific GSL profiles to fit agronomic needs.

plant biology↗

bioRxiv2024

Response of Various Concentrations of Indole Acetic Acid (IAA) to Morphological Attributes in Different Plum (Prunus domestica L.) Curltivars

AbstractsThis study was conducted to evaluate the effects of indole-3-acetic acid (IAA) on budwood treated with different concentrations of indole acetic acid i.e. ((300, 600, 900 and 1200 ppm) of three plum varieties (Fazle Manani, Santa Rosa and Red Beauty) in respect of various morphological parameters e.g. days to sprouting, plant height, number of branches, percent sprouting, number of leaves, budling diameter and internode length. Results revealed that different varieties of plum had different responses to the applied concentrations in different plum cultivars. Cultivar Fazle manani showed significant decline in days to sprouting (at 300 ppm dose), plant height (at 600 dose), percent sprouting and budling diameter (at all concentrations) while increase in number of branches (1200 dose), number of leaves (all concentrations except 600 ppm), and internode length (at 300 ppm and 900 ppm concentrations). Days to sprouting in cultivar Santa rosa were non-significantly affected while plant height and internode length were significantly reduced at all concentrations particularly at 300 ppm. Number of branches, number of leaves and percent sprouting increased significantly at 300 ppm and 900 ppm concentrations. Cultivar red beauty exhibited significant decline in days to sprouting at 600 ppm and 900 ppm concentrations while elevated plant height at 900 concentrations. Number of branches, percent sprouting, number of leaves and budling diameter in Red Beauty were inhibited by all concentrations. However, internode length was increased significantly at 300 ppm, 600 ppm and 1200 ppm concentrations but decreased at 900 ppm concentrations. The study revealed that the most effective dose was 300 ppm. These findings demonstrate the differential sensitivity of plum cultivars to IAA and highlight its potential for regulating their growth and morphology.

physiology↗

bioRxiv2024

Population growth poses a significant threat to forest ecosystems: a case study from the Hindukush-Himalayas of Pakistan

Human population growth and associated increases in anthropogenic activities pose a significant threat to forest ecosystems by diminishing the natural ecosystem services these systems provide. Malam Jabba is located in District Swat Pakistans Hindukush-Himalayan temperate zone, which is renowned for ecotourism and skiing and is rich in timber-producing tree species, medicinal plants, and unique biodiversity; however, the majority of Swat Valleys population relies on Malam Jabba forests for their timber & fuelwood requirements. We examined how the deforestation rate increased with increasing human population density in Pakistans Malam Jabba area of the Hindukush-Himalayas. To identify the forest cover, remote sensing, and geographic information systems were used (RS & GIS). The study areas vegetation was analyzed with the Normalized Divergence Vegetation Index (NDVI) using multitemporal satellite images for the years 1980, 2000, and 2020. The deforestation rate from 1980 to 2020 was then determined using the decay model, and the MATLAB program was used to predict the deforestation rate for the following two decades in relation to the anticipated growth in the human population. Our result revealed that, in the last two decades, the average rate of deforestation increased from 0.7% to 1.93% per year, while the human population of District Swat increased from 1.2 to 2.3 million at a rate of 9% per year. The decay model predicts that the study areas deforestation rate will increase to 2.5% per year over the next two decades due to the forecasted 11.6% per year population growth rate. Human population growth in District Swat, Pakistan has seriously threatened the nearby forest ecosystems, and a future increase in human population will further accelerate anthropogenic activities like unsustanible tourism, fuel and timber wood collection and urbanization. Based on our results, we recommend that: (i) in addition to reforestation programs and sustainable use of forest resources, the government should implement a long-term forest management plan (ii) where the density of forest cover can be sustained at an equilibrium level dependent of population growth pressure (iii) and areas with extreme human pressure should be designated as most important for in situ conservation approach.

ecology↗

bioRxiv2023

Integrative genomics reveals the polygenic basis of seedlessness in grapevine

Seedlessness is a crucial quality trait in table grape (Vitis vinifera L.) breeding. However, the development of seeds involved intricate regulations, while the polygenic basis of seed abortion remains unclear. Here, we combine comparative genomics, population genetics, quantitative genetics, and integrative genomics to unravel the evolution and polygenic basis of seedlessness in grapes. We generated four haplotype-resolved telomere-to-telomere (T2T) genomes for two seedless grape cultivars, Thompson Seedless (TS, syn. Sultania) and Black Monukka (BM). Comparative genomics identified a [~]4.25 Mb hemizygous inversion on Chr10 specific in seedless cultivars, with seedless-associated genes VvTT16 and VvSUS2 located at breakpoints. Population genomic analyses of 548 grapevine accessions revealed two distinct clusters of seedless cultivars, tracing the origin of the seedlessness trait back to Sultania. Introgression, rather than convergent selection, shaped the evolutionary history of seedlessness in grape improvement. Genome-wide association study (GWAS) analysis identified 110 quantitative trait loci (QTLs) associated with 634 candidate genes, including novel candidate genes, such as three 11S GLOBULIN SEED STORAGE PROTEIN and two CYTOCHROME P450 genes, and well-known genes like VviAGL11. Integrative genomic analyses resulted in 339 core candidate genes categorized into 13 groups related to seed development. Machine learning based genomic selection achieved a remarkable 99% precision in predicting grapevine seedlessness. Our findings highlight the polygenic nature of seedless and provide novel candidate genes for molecular genetics and an effective prediction for seedlessness in grape genomic breeding.

genetics↗

bioRxiv2023

Nuclear localization of HD-Zip IV transcription factor GLABRA2 is driven byImportin α

GLABRA2 (GL2), a class IV homeodomain leucine-zipper (HD-Zip IV) transcription factor (TF) from Arabidopsis, is a developmental regulator of specialized cell types in the epidermis. GL2 contains a putative monopartite nuclear localization sequence (NLS) partially overlapping with its homeodomain (HD). We demonstrate that NLS deletion or alanine substitution of its basic residues (KRKRKK) affects nuclear localization and results in a loss-of-function phenotype. Fusion of the predicted NLS (GTNKRKRKKYHRH) to the fluorescent protein EYFP is sufficient for its nuclear localization in roots and trichomes. The functional NLS is evolutionarily conserved in a distinct subset of HD-Zip IV members including PROTODERMAL FACTOR2 (PDF2). Despite partial overlap of the NLS with the HD, genetic dissection of the NLS from PDF2 indicates that nuclear localization and DNA binding are separable functions. Affinity purification of GL2 from plant tissues followed by mass spectrometry-based proteomics identified Importin (IMP) isoforms as potential GL2 interactors. NLS structural prediction and molecular docking studies with IMP-3 revealed major interacting residues. Split-ubiquitin cytosolic yeast two-hybrid assays suggest interaction between GL2 and four IMP isoforms from Arabidopsis. Direct interactions were verified in vitro by co-immunoprecipitation with recombinant proteins. IMP triple mutants (imp- 1,2,3) exhibit defects in EYFP:GL2 nuclear localization in trichomes but not in roots, consistent with tissue-specific and redundant functions of IMP isoforms in Arabidopsis. Taken together, our findings provide mechanistic evidence for IMP-dependent nuclear localization of GL2 and other HD-Zip IV TFs in plants. One sentence summaryGLABRA2, a representative HD-Zip IV transcription factor from Arabidopsis, contains an evolutionarily conserved monopartite nuclear localization sequence that is recognized by Importin for translocation to the nucleus, a process that is necessary for cell-type differentiation of the epidermis.

plant biology↗

bioRxiv2022

Comparison of Two Individual Identification Algorithms for Snow Leopards (Panthera uncia) after Automated Detection

1. Photo-identification of individual snow leopards (Panthera uncia) is the primary technique for density estimation for the species. A high volume of images from multiple projects, combined with pre-existing historical catalogs, has made identifying snow leopard individuals within the images cost- and time-intensive. 2. To speed the classification among a high volume of photographs, we trained and evaluated image classification methods for PIE v2 (a triplet loss network), and we compared PIEs accuracy to the HotSpotter algorithm (a SIFT based algorithm). Analyzed data were collected from a curated catalog of free-ranging snow leopards photographed across years (2012-2019) in Afghanistan and from samples in captivity provided by zoos from Finland, Sweden, Germany, and the United States. 3. Results show that PIE outperforms HotSpotter. We also found weaknesses in the initial PIE model, like a minor amount of background matching, which was addressed, although likely not fully resolved, by applying background subtraction (BGS) and left-right mirroring (LR) methods. The PIE BGS LR model combined with Hotspotter showed a Rank-1: 85%, Rank-5: 95%, Rank-20: 99%. 4. Overall, our results recommend implementing PIE v2 simultaneously with HotSpotter on Whiskerbook.org.

bioinformatics↗

bioRxiv2021

Designing Novel and Potent Inhibitors for Multi Drug-Resistant Tuberculosis: A Computational Approach

Tuberculosis is a major global health problem and is still among the top 10 causes of death. The increasing rate of drug resistance to infectious agents has provoked an urgent need to discover novel anti-tuberculosis agents with novel modes of action. In this study, small molecule inhibitors of the proteins encoded by the drug resistant genes, i.e., katG, gyrA, pncA and rpoB of Mycobacterium tuberculosis (M. tuberculosis), were identified using computational methods. In the ligand base pharmacophore, an already reported four ligands for the four proteins encoded by the resistant genes of M. tuberculosis were selected for the generation of pharmacophores. The validated pharmacophores model of all the four proteins, generated on the basis of ligand base, were selected for further screening of ZINC drug like database. As screening results 486 structurally diverse hits for katG, 542 for PncA, 112 for rpoB and 365 for gyrA were mapped and filtered via Lipinskis rule of five. Finally, on the basis of docking score and binding interactions, ten small molecules were selected for each protein as novel inhibitors. These selected novel inhibitors have significant interaction with the active site of the protein and a strong possibility to act as an additional starting opinion in the development of new and potential inhibitors. The result indicates that novel inhibitors could be a promising lead compound and be effective in treating sensitive as well as multi drug resistant tuberculosis.

bioinformatics↗