Biology subjects

Gawande, N. D.

Publications and source records attributed to Gawande, N. D..

5 recordsLinked to original sources

bioRxiv2026

Characterization of long non-coding RNAs during compatible and incompatible pollination in Arabidopsis thaliana

Long non-coding RNAs (lncRNAs) have emerged as critical players in plant development and stress responses, yet their involvement in pollination responses is largely unknown. To address this gap, we identified and characterized lncRNAs and their cis-acting, trans-acting, and miRNA-mediated regulatory interactions during both compatible and incompatible pollination in Arabidopsis thaliana. Leveraging publicly available datasets, we analyzed expression profiles at 10 and 60 minutes post-pollination. We identified 1,073 novel and 3,422 annotated lncRNAs, with 1,002 novel and 985 annotated, respectively, showing detectable expression after filtering. Differential expression analysis identified 12 lncRNAs at 10 min and 32 lncRNAs at 60 min post-pollination. Further investigation revealed 9 cis-targets, 112 trans-targets, and 144 miRNA-mediated regulatory interactions, many of which were enriched in pathways related to stress, defense, and self-incompatibility. Notably, the regulatory landscape is more active at 60 minutes than at 10 minutes post-pollination. These findings provide a robust framework and resource to facilitate future functional studies of lncRNAs during pollination.

plant biology↗

bioRxiv2025

IMPORTANT: Advanced Pollen Classification of Indian Medicinal Plants through SEM and Computer Vision

Pollen grains of plant species have unique morphological characteristics. The variability in shape, size, and microscopic pollen surface features can be efficiently used to determine the plant species to which they belong. This approach can be instrumental in regions with rich biodiversity in plant species, specifically in medicinal plant. The creation of a pollen dataset for these species using SEM images and a computer vision application can be beneficial for their identification. We have developed a robust approach utilizing scanning electron microscopy (SEM) to generate high-resolution pollen images from 28 plant species of medicinal importance and employed computer vision techniques for accurate segmentation and classification based on diverse morphological features. In this study, a dataset comprising 269 images for segmentation and 5842 images was used for classification across 28 classes. In addition, we have created a globally accessible database named IMPORTANT (Indian Medicinal Plants Pollen Images Dataset for Research, Training, and Analysis of Neural Networks) to facilitate easy retrieval and sharing of pollen images. This study can effectively identify medicinal plant species by utilizing the microscopic features of pollen SEM images through the IMPORTANT database. Since the pollen of even closely related species vary in their morphological characteristics, this approach can efficiently determine the closely related species with accuracy and precision.

plant biology↗

bioRxiv2024

Novel carbon nanoparticles (CNPs) from Catharanthus roseus petals for metal ion sensing and root growth modulation

Nanoparticles are of major interest nowadays due to their distinctive properties. In this study, we present a microwave-assisted green synthesis of carbon nanoparticles from the Catharanthus roseus petals. The nanoparticles exhibited a fluorescence emission in the 300 to 400 nm wavelength region and emitted a characteristic blue fluorescence. The extensive characterization using Bio-AFM showed that the size of nanoparticles was 25.38 nm. M-XRD and Zeta potential analysis confirmed that the nanoparticles were amorphous and exhibited a negative surface charge. The surface functional groups on the nanoparticles were highlighted by FTIR analysis. Metal sensing affinity of the synthesized CNPs and their effect on the plant growth was tested. These CNPs demonstrated the effective sequestration of metallic ions such as copper (Cu2+), iron (Fe2+), and nickel (Ni2+), indicating their potential to be used as biosensors in metal detection. It was found that the effect was proportionate to the Catharanthus roseus petal nanoparticles (CRPNP) concentration, where it exhibits a great affinity for Fe2+. The effect of the nanoparticles analyzed on the root growth of Arabidopsis thaliana showed that CRPNP suppresses the primary root and lateral root numbers. These results demonstrate the use of C. roseus synthesized CNPs in sustainable agriculture by targeting nutrient delivery.

developmental biology↗

bioRxiv2023

Novel carbon nanoparticles derived from Bougainvillea modulate vegetative growth in Arabidopsis

We present a green synthesis method of producing blue fluorescence emitting carbon nanoparticles (CNPs) through a simple and cost-effective single-step hydrothermal reaction. The synthesis utilized bract extracts and pollen grains from three Bougainvillea species: B. spectabilis, B. alba, and B. buttiana. The CNPs exhibited photoluminescence, with the highest emission observed in the ultraviolet region. Atomic force microscopy analysis revealed that the size of synthesized CNPs ranged from 23 nm to 83 nm. Fourier transform infrared analysis provided a comprehensive understanding of the CNPs surface functional groups, with carbon being the predominant group. X-ray diffraction analysis confirmed the amorphous nature of the synthesized CNPs. Zeta potential measurements indicated that the particles carried a negative charge, suggesting their colloidal stability. In experiments conducted with Arabidopsis thaliana seedlings, CNPs derived from B. alba pollen grains were found to promote leaf area expansion while simultaneously inhibiting primary root growth. Conversely, other CNPs demonstrated detrimental effects on vegetative growth. These findings underscore the potential application of these novel CNPs in agriculture.

plant biology↗

bioRxiv2023

Genome wide characterization and expression analysis of CrRLK1L gene family in wheat unravels their roles in development and stress-specific responses

Catharanthus roseus receptor-like kinase 1-like (CrRLK1L) genes encode a subfamily of receptor-like kinases (RLK) that regulate diverse processes during plant growth, development and stress responses. This study aims to provide a comprehensive genome-wide functional characterization of CrRLK1L family in bread wheat (Triticum aestivum). The genome of T. aestivum encodes 15 CrRLK1L family genes that has 43 paralogous copies with three homeologs each, except for -2-D and -7-A, which were found to be absent. In addition, a frame shift deletion was identified in the Paralog -2-B. Chromosomal localization analysis revealed a markedly uneven distribution of Ta-CrRLK1L genes across seven different chromosomes, with chromosome 4 housing the highest number of genes while chromosome 6 lacked any CrRLK1L genes. Tissue-specific gene expression analysis revealed distinct expression patterns among the members of the gene family, with certain members exhibiting heightened expression in reproductive tissues. Gene expression analysis under various abiotic and biotic stress conditions unveiled differential regulation of different gene family members. An examination of cis-acting elements in the promoter regions, identified specific elements crucial for plant growth and developmental processes. This comprehensive genome wide analysis and expression study provide valuable insights into the essential functions of CrRLK1L members in wheat.

plant biology↗