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ZHANG, K.

Publications and source records attributed to ZHANG, K..

2 recordsLinked to original sources

Voltage-dependent anion channels are mitophagy receptors mediating the recycling of depolarized mitochondria in Arabidopsis

The mitochondrion is an essential organelle in eukaryotic cells, playing crucial roles in cellular respiration and intracellular signaling pathways. To maintain a healthy population of mitochondria, dysfunctional and excess mitochondria are selectively removed through an autophagic process known as mitophagy. Over the past few decades, various autophagy-related (ATG) proteins involved in mitophagy have been well characterized in yeast and mammalian cells since it has significance to the survival of eukaryotes. While the core autophagy machinery responsible for autophagosome formation is conserved among eukaryotes, the homologs of key regulators of mammalian system is absent in plant. In this study, we identified a unique mitophagy mechanism in plant, that three voltage-dependent anion channel (VDAC) family proteins in the mitochondria outer membrane -- specifically VDAC1, VDAC2, and VDAC3 -- as mitophagy receptors in Arabidopsis. These proteins were required for translocation of ATG8 from the cytosol to the mitochondria surface, when Arabidopsis cells were treated with an uncoupler, 2,4-dinitrophenol (DNP). The VDACs interacted directly with ATG8 through an ATG8-interacting motif (AIM) located in their amino (N) termini. Furthermore, vdac mutants exhibited impaired uncoupler-induced mitophagy and accumulated damaged mitochondria. These mitophagy-related phenotypes were more pronounced in vdac double and triple mutant lines. Altogether, our results indicated that VDAC1, 2, and 3 recruit ATG8 to depolarized mitochondria, facilitating the formation of mitophagosomes, presenting a distinguishing mitophagy pathway with mammalian system.

plant biology↗

Dimorphic Neural Network Architecture Prioritizes Sexual-related Behaviors in Male C.elegans

Neural network architecture determines its functional output. However, the detailed mechanisms are not well characterized. In this study, we focused on the neural network architectures of male and hermaphrodite C. elegans and the association with sexually dimorphic behaviors. We applied graph theory and computational neuroscience methods to systematically discern the features of these two neural networks. Our findings revealed that a small percentage of sexual-specific neurons exerted dominance throughout the entire male neural net-work, suggesting males prioritized sexual-related behavior outputs. Based on the structural and dynamical characteristics of two complete neural networks, sub-networks containing sex-specific neurons and their immediate neighbors, or sub-networks exclusively comprising sex-shared neurons, we predicted dimorphic behavioral outcomes for males and hermaphrodites. To verify the prediction, we performed behavioral and calcium imaging experiments and dissected a circuit that is specific for the increased spontaneous local search in males for mate-searching. Our research sheds light on the neural circuits that underlie sexually dimorphic behaviors in C. elegans, and provides significant insights into the inter-connected relationship between network architecture and functional outcomes at the whole-brain level.

neuroscience↗