Biology subjects

Giri, G.

Publications and source records attributed to Giri, G..

4 recordsLinked to original sources

bioRxiv2024

Humidity-dependent structural adaptations of Drosophila melanogaster hygrosensilla

Understanding how organisms detect environmental humidity remains a fundamental problem in sensory biology. While specialized sensory neurons in insect antennae can detect changes in humidity, the mechanism underlying this ability is not fully understood. Here, we present an integrated approach combining precise humidity control, rapid cryo-preservation, and serial block-face scanning electron microscopy (SBF-SEM) to investigate the ultrastructure of hygrosensilla in the vinegar fly Drosophila melanogaster. We developed a deep learning-based segmentation pipeline to analyze three-dimensional structural features of sensilla exposed to different humidity conditions at stable temperature. Our analysis reveals consistent differences in sensilla width between high (80% RH) and low (26% RH) humidity conditions across all chambers of the sacculus. Additionally, we identified chamber-specific patterns in sensilla tapering, indicating specialized structural adaptations across different sensilla populations. The observed structural changes suggest a potential role for mechanical transduction in humidity sensing. This study establishes a technical framework for high-resolution analysis of sensory organs while providing new insights into the structural basis of humidity detection. Our findings advance our understanding of how specialized sensory organs might transduce environmental signals into neural responses.

neuroscience↗

bioRxiv2024

Understanding species-specific and conserved RNA-protein interactions in vivo and in vitro

While evolution is often considered from a DNA- and protein-centric view, RNA-based regulation can also impact gene expression and protein sequences. Here we examined interspecies differences in RNA-protein interactions using the conserved neuronal RNA binding protein, Unkempt (UNK) as model. We find that roughly half of mRNAs bound in human are also bound in mouse. Unexpectedly, even when transcript-level binding was conserved across species differential motif usage was prevalent. To understand the biochemical basis of UNK-RNA interactions, we reconstituted the human and mouse UNK-RNA interactomes using a high-throughput biochemical assay. We uncover detailed features driving binding, show that in vivo patterns are captured in vitro, find that highly conserved sites are the strongest bound, and associate binding strength with downstream regulation. Furthermore, subtle sequence differences surrounding motifs are key determinants of species-specific binding. We highlight the complex features driving protein-RNA interactions and how these evolve to confer species-specific regulation.

evolutionary biology↗

bioRxiv2023

A dynamic humidity arena to explore humidity related behaviours in insects

Humidity is a critical environmental factor influencing the behaviour of terrestrial organisms. Despite its significance, the neural mechanisms and behavioural algorithms governing humidity sensation in insects remain elusive. In this study, we introduce a novel dynamic humidity arena to investigate humidity-guided behaviour in the vinegar fly Drosophila melanogaster. The arena allows precise humidity control, low error rates, and fast settling times, making it a robust tool for studying humidity-related behaviours. Our results reveal that desiccated and starved flies (DS flies) search for higher relative humidity environments (65-75%) while sated flies tend to stay within their initial environments. In contrast, Ionotropic receptor (Ir)93a mutant flies with impaired humidity sensing show no preference to relative humidity. The search for higher humidity in DS flies is reflected in their relatively high displacement and walking speed compared to control and mutant flies. Our novel method manipulates humidity cues to create complex humidity landscapes that respond in real-time to insect movement. This will help us shed light on how humidity shapes behaviour and offers a foundation for further research in the field of hygrosensation.

neuroscience↗

bioRxiv2023

Adaptive genomic variation is linked to a climatic gradient in a social wasp

Species vary in their ability to adapt to rapid changes, with the presence of genetic variation often facilitating long-term evolutionary responses. Given the impending threat of climate change, it is critical to investigate how genetic variation facilitates persistence and possible range expansion in animals. Here, we combine genomic and climatic data to characterize the drivers of local adaptation in the widely distributed, social wasp Mischocyttarus mexicanus cubicola. Using whole genome sequence data, we show that adaptive genomic variation is linked to a climatic gradient across the broad distribution of this species. We found strong population structure, dividing the species into two genetic clusters that follow subtropical and temperate regions. Patterns of gene flow across the range deviate from those expected by isolation by distance alone with climatic differences resulting in reduced gene flow even between adjacent populations. Importantly, genotype-environment analyses reveal candidate single nucleotide polymorphism (SNPs) associated with temperature and rainfall, suggesting adaptation for thermal and desiccation tolerance. In particular, candidate SNPs in or near mitochondrial genes ND5, CO1, and COIII are linked to cold tolerance and metabolism. Similarly, the Gld nuclear gene shown to mediate cold hardiness and cuticle formation, shows two candidate SNPs with non-synonymous mutations unique to temperate populations. Together, our results reveal candidate SNPs consistent with local adaptation to distinct climatic conditions. Thus, the integration of genomic and climatic data can be a powerful approach to predict vulnerability and persistence of species under rapid climate change.

evolutionary biology↗