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Status |
Public on Jul 03, 2023 |
Title |
Origins of proprioceptor feature selectivity and topographic maps in the Drosophila leg |
Organism |
Drosophila melanogaster |
Experiment type |
Expression profiling by high throughput sequencing
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Summary |
Our ability to sense and move our bodies relies on proprioceptors, sensory neurons that detect mechanical forces within the body. Proprioceptors are diverse: different subtypes detect different features of joint kinematics, such as position, directional movement, and vibration. However, because they are located within complex and dynamic peripheral tissues, the underlying mechanisms of proprioceptor feature selectivity remain poorly understood. Here, we investigate molecular and biomechanical contributions to proprioceptor diversity in the Drosophila leg. Using single-nucleus RNA sequencing, we found that different proprioceptor subtypes express similar complements of mechanosensory and other ion channels. However, anatomical reconstruction of the proprioceptive organ and connected tendons revealed major biomechanical differences between proprioceptor subtypes. We constructed a computational model of the proprioceptors and tendons, which identified a putative biomechanical mechanism for joint angle selectivity. The model also predicted the existence of a goniotopic map of joint angle among position-tuned proprioceptors, which we confirmed using calcium imaging. Our findings suggest that biomechanical specialization is a key determinant of proprioceptor feature selectivity in Drosophila. More broadly, our discovery of proprioceptive maps in the fly leg reveals common organizational principles between proprioception and other topographically organized sensory systems.
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Overall design |
Flies are raised on standard cornmeal and molasses medium kept at 25 C in a 14:10 hour light:dark cycle.
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Contributor(s) |
Li H, Lu T, Tuthill JC, Mamiya A |
Citation missing |
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Submission date |
Jun 30, 2023 |
Last update date |
Jul 03, 2023 |
Contact name |
Hongjie Li |
E-mail(s) |
hongjie.li@bcm.edu
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Organization name |
Baylor College of Medicine
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Department |
Huffington Center on Aging
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Lab |
Alkek N910
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Street address |
One Baylor Plaza
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City |
Houston |
State/province |
TX |
ZIP/Postal code |
77030 |
Country |
USA |
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Platforms (1) |
GPL25244 |
Illumina NovaSeq 6000 (Drosophila melanogaster) |
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Samples (1) |
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Relations |
BioProject |
PRJNA989534 |
Supplementary file |
Size |
Download |
File type/resource |
GSE236232_RAW.tar |
15.8 Mb |
(http)(custom) |
TAR (of H5AD, MTX, TSV) |
SRA Run Selector |
Raw data are available in SRA |
Processed data provided as supplementary file |
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