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Biology subjects

Randhawa, H.

Publications and source records attributed to Randhawa, H..

2 recordsLinked to original sources

Four neurons pattern brain-wide developmental activity through neuropeptide signaling.

The developing brain becomes electrically active before it is ready to process sensory input. During neural circuit maturation, developmental activity is thought to refine synaptic connections by driving neuronal co-activation in rhythmic patterns. The source of this brainwide activity and the mechanisms which regulate its patterns are not well understood. Here we describe cellular interactions that shape developmental activity and their molecular basis. In Drosophila, patterned stimulus independent neural activity (PSINA) engages the entire brain in highly stereotyped, globally coordinated cycles of activity. A molecularly-defined population of [~]2,000 neurons (Transient Receptor Potential Gamma, Trp{gamma}+ neurons) act as an activity template for PSINA. We show that this activity template is patterned by four neurons expressing the neuropeptide SIFamide (SIFa). Signaling through the SIFa Receptor, SIFa modulates the activity of both SIFa and Trp{gamma}+ neurons to establish the brainwide activity cycles of PSINA. In turn, Trp{gamma}+ neurons regulate SIFa neuron activity through a recurrent interaction. Neuropeptides act through synapse-free, or wireless, signaling; a fitting mode of communication for a process tasked with refining on-going synapse formation. By placing neuropeptide signaling at the core of developmental activity, this work highlights the rich neurophysiological potential of the chemical connectome in shaping the developing brain.

neuroscience↗

Deep Learning Genome-wide Linkage Association Study for Wheat Fusarium Head Blight Resistance Genes Discovery

BackgroundFusarium head blight (FHB) is one of the most devastating diseases of wheat worldwide and artificial intelligence can assist with understanding resistance to the disease. Considering different sample populations, marker types, reference maps, and statistical methods, we developed a Deep Learning Genome-wide Linkage Association Study (dpGLAS) of FHB resistance in wheat. ResultsThe dpGLAS was first applied to two bi-parental population datasets in which the cultivar AC Barrie was a common parent for FHB resistance. Eight candidate gene markers were discovered in the one AC Barrie population and 10 in the other associated with FHB resistance. Eight of these markers were also supported by the conventional QTL mapping. Most of these candidate marker genes were found associated with the Reactive Oxygen Species (ROS) and Abscisic acid (ABA) axes. These ROS and ABA pathways were further supported by RNA-seq transcriptome data of FHB resistant cv. AAC Tenacious, a parent of the third bi-parental population. In this dataset, the ROS-centered Panther protein families were significantly enriched in those genes that had most different response to FHB when compared the resistance Tenacious and the susceptible Roblin. ConclusionsThis study developed the framework of dpGLAS and identified candidate genes for FHB resistance in the Canadian spring wheat cultivars AC Barrie and AAC Tenacious.

bioinformatics↗