Biology subjects

Sane, V. A.

Publications and source records attributed to Sane, V. A..

3 recordsLinked to original sources

bioRxiv2025

SlHSFB3a developmentally regulates lateral root formation by modulating auxin signaling in tomato.

O_LIThe function of HSFs, known otherwise as master thermoregulators, in plant developmental remains largely uninvestigated. C_LIO_LIIn this study, we strategically analyze SlHSFB3a, a class B sub member of HSF transcription factor family, uniquely expresses in age-dependent tomato roots and improves root architecture by synchronizing auxin homeostasis. C_LIO_LIThis data demonstrates SlHSFB3a overexpressed transgenics display higher lateral root (LR) density and early LR emergence improving root architecture. Generation of CRISPR-Knockout mutants displayed contrasting phenotype, confirming SlHSFB3as vital role in root growth. In SlHSFB3a manipulated roots, concentration gradient auxin responses oscillated with increase in LR number. C_LIO_LIWe highlight the signal transduction of SlHSFB3a mediated auxin activation that enhances tomato LRs. SlHSFB3a directly inhibits auxin repressors, increases auxin flow via ARF7/LOB20 pathway and positively modulates LR growth. C_LI

plant biology↗

bioRxiv2023

A consensus cell type atlas from multiple connectomes reveals principles of circuit stereotypy and variation

The fruit fly Drosophila melanogaster combines surprisingly sophisticated behaviour with a highly tractable nervous system. A large part of the flys success as a model organism in modern neuroscience stems from the concentration of collaboratively generated molecular genetic and digital resources. As presented in our FlyWire companion paper1, this now includes the first full brain connectome of an adult animal. Here we report the systematic and hierarchical annotation of this [~]130,000-neuron connectome including neuronal classes, cell types and developmental units (hemilineages). This enables any researcher to navigate this huge dataset and find systems and neurons of interest, linked to the literature through the Virtual Fly Brain database2. Crucially, this resource includes 4,552 cell types. 3,094 are rigorous consensus validations of cell types previously proposed in the "hemibrain" connectome3. In addition, we propose 1,458 new cell types, arising mostly from the fact that the FlyWire connectome spans the whole brain, whereas the hemibrain derives from a subvolume. Comparison of FlyWire and the hemibrain showed that cell type counts and strong connections were largely stable, but connection weights were surprisingly variable within and across animals. Further analysis defined simple heuristics for connectome interpretation: connections stronger than 10 unitary synapses or providing >1% of the input to a target cell are highly conserved. Some cell types showed increased variability across connectomes: the most common cell type in the mushroom body, required for learning and memory, is almost twice as numerous in FlyWire as the hemibrain. We find evidence for functional homeostasis through adjustments of the absolute amount of excitatory input while maintaining the excitation-inhibition ratio. Finally, and surprisingly, about one third of the cell types proposed in the hemibrain connectome could not yet be reliably identified in the FlyWire connectome. We therefore suggest that cell types should be defined to be robust to inter-individual variation, namely as groups of cells that are quantitatively more similar to cells in a different brain than to any other cell in the same brain. Joint analysis of the FlyWire and hemibrain connectomes demonstrates the viability and utility of this new definition. Our work defines a consensus cell type atlas for the fly brain and provides both an intellectual framework and open source toolchain for brain-scale comparative connectomics.

neuroscience↗

bioRxiv2021

Behavioral context shapes vocal sequences in two anuran species with different repertoire sizes

Acoustic signals in animals serve to convey context-dependent information to receivers. Birds and mammals combine diverse sounds into complex sequences to communicate, but these sequences largely remain understudied in other taxa. Anuran vocalizations are a prominent feature of their life history, and function in defense of territories and to attract mates. However, despite the spectacular diversity of anurans in tropical regions of the world, vocal diversity and communication strategies remain relatively poorly studied. Specifically, studies of vocal sequences and context-dependent vocal patterns in frogs remain few. Here, we investigated the context-dependent vocal repertoire and the use of vocal sequences by two anuran species belonging to different lineages, both endemic to the hyper-diverse Western Ghats of India. By recording vocal sequences both when frogs were alone and in the presence of a territorial rival, we present evidence that both species modify their vocal repertoire according to context. Specifically, one species appends notes to generate more complex sequences, whereas the other shifts to different note types, resulting in different sequences for different contexts. Thus, despite differences in repertoire size, both frog species are capable of adjusting the temporal sequence of vocalizations to communicate in different contexts. This study highlights the need for further studies of insular frogs, to understand how diversification across these continental islands has influenced the evolution of vocal repertoires, vocal sequence patterns and communication systems. Lay SummaryAnimals employ complex sequences of acoustic signals to communicate in diverse behavioral contexts. Here, we demonstrate that two frog species with different vocal repertoires both modify the sequence of note emissions in the presence of a territorial rival. These patterns demonstrate that anurans are capable of complex shifts in the patterns of their vocalization, to communicate different messages to different receivers. Our findings demonstrate the value of studying behavioral diversity in tropical regions.

animal behavior and cognition↗