Genetics of Mechanoreceptor Evolution and Development

Fritzsch, Bernd; Erives, Albert; Eberl, Daniel F.; Yamoah, Ebenezer N.

doi:10.1016/b978-0-12-809324-5.24192-8

Cited by 4 publications

(9 citation statements)

References 268 publications

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“…In both cases, we also detected cells that do not co-express Pdu-r-opsin1 , indicative of a diversity of putative mechanosensory cells in Platynereis trunks. Given the functional validation of Pkd2.1 as a mechanoreceptive molecule in Platynereis larvae ( Bezares-Calderón et al, 2018 ) and the functional validation of NOMPC in other species ( Fritzsch et al, 2020 ; Walker et al, 2000 ), our data further support the notion that TRE cells are indeed functional mechanoreceptors. How the cells expressing different mechanical transducing molecules relate to each other remains open.…”

Section: Resultssupporting

confidence: 72%

“…We first identified, from available transcript sequences, Platynereis orthologs of the four main gene families previously shown to function as mechanical transducing molecules in animals ( Fritzsch et al, 2020 ), omitting the class of MscS-like factors so far only implicated as animal mechanical transducing molecules in the cnidarian Nematostella ( Fritzsch et al, 2020 ). Besides Pkd2.1 – previously shown to function as a mechanical transducing molecule in Platynereis larvae ( Bezares-Calderón et al, 2018 ) – our analysis included Platynereis orthologs of the TRP - family member NOMPC (Pdu-NOMPC; Figure 4—figure supplement 1A ), the PIEZO-family (Pdu-Piezo; Figure 4—figure supplement 1B ), and of the TMC-family (Pdu-TMC1/2/3; Figure 4—figure supplement 2 ).…”

Section: Resultsmentioning

confidence: 99%

“…How the cells expressing different mechanical transducing molecules relate to each other remains open. The scenario in Platynereis might be similar to flies and nematodes, where both TRP and DEG/ENaC channels function in mechanosensation without a clear connection of either channel with specific receptor properties ( Fritzsch et al, 2020 ).…”

Section: Resultsmentioning

confidence: 99%

“…In contrast to the rather canonical nature of photoreceptor cascades, different animal mechanosensory cells employ different mechanical transducing molecules ( Fritzsch et al, 2020 ). As we demonstrate, orthologs of all four main classes of animal mechanical transducing molecules are present in the worm.…”

Section: Discussionmentioning

confidence: 99%

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Characterization of cephalic and non-cephalic sensory cell types provides insight into joint photo- and mechanoreceptor evolution

Revilla-i-Domingo

Rajan

Waldherr

et al. 2021

eLife

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Rhabdomeric opsins (r-opsins) are light-sensors in cephalic eye photoreceptors, but also function in additional sensory organs. This has prompted questions on the evolutionary relationship of these cell types, and if ancient r-opsins were non-photosensory. A molecular profiling approach in the marine bristleworm Platynereis dumerilii revealed shared and distinct features of cephalic and non-cephalic of r-opsin1-expressing cells. Non-cephalic cells possess a full set of phototransduction components, but also a mechanosensory signature. Prompted by the latter, we investigated Platynereis putative mechanotransducer, and found nompc and pkd2.1 co-expressed with r-opsin1 in TRE cells by HCR RNA-FISH. To further assess the role of r-Opsin1 in these cells, we studied its signaling properties and unraveled that r-Opsin1 is a Gαq-coupled blue-light receptor. Profiling of cells from r-opsin1 mutants versus wild-types, and a comparison under different light conditions reveals that in the non-cephalic cells, light - mediated by r-Opsin1 - adjusts the expression level of a calcium transporter relevant for auditory mechanosensation in vertebrates. We establish a deep learning-based quantitative behavioral analysis for animal trunk movements, and identify a light- and r-Opsin-1-dependent fine-tuning of the worm's undulatory movements in headless trunks, which are known to require mechanosensory feedback. Our results provide new data on peripheral cell types of likely light-sensory/mechanosensory nature. These results point towards a concept in which such a multisensory cell type evolved to allow for fine-tuning of mechanosensation by light. This implies that light-independent mechanosensory roles of r-opsins may have evolved secondarily.

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Section: Resultssupporting

confidence: 72%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

See 2 more Smart Citations

Characterization of cephalic and non-cephalic sensory cell types provides insight into joint photo- and mechanoreceptor evolution

Revilla-i-Domingo

Rajan

Waldherr

et al. 2021

eLife

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“…However, GASTON reveals that the proportion of mitral/tufted cells peaks at two different isodepth values, d ≈350 and d ≈600, with a larger proportion of mitral/tufted cells at the second peak versus the first peak (Figure 5D). This suggests that the mitral/tufted cells at isodepth d ≈350 are tufted cells, which previous studies have shown are spread diffusely in the external plexiform layer (EPL) [94], while the mitral/tufted cells at isodepth d ≈600 are mitral cells, which have been shown to form a monolayer in the mitral cell layer (MCL) [41]. GASTON also distinguishes between different granule cell states.…”

Section: Resultsmentioning

confidence: 99%

Mapping the topography of spatial gene expression with interpretable deep learning

Chitra,

Arnold,

Sarkar

et al. 2023

Preprint

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Spatially resolved transcriptomics technologies provide high-throughput measurements of gene expression in a tissue slice, but the sparsity of this data complicates the analysis of spatial gene expression patterns such as gene expression gradients. We address these issues by deriving atopographic mapof a tissue slice—analogous to a map of elevation in a landscape—using a novel quantity called theisodepth. Contours of constant isodepth enclose spatial domains with distinct cell type composition, while gradients of the isodepth indicate spatial directions of maximum change in gene expression. We develop GASTON, an unsupervised and interpretable deep learning algorithm that simultaneously learns the isodepth, spatial gene expression gradients, and piecewise linear functions of the isodepth that model both continuous gradients and discontinuous spatial variation in the expression of individual genes. We validate GASTON by showing that it accurately identifies spatial domains and marker genes across several biological systems. In SRT data from the brain, GASTON reveals gradients of neuronal differentiation and firing, and in SRT data from a tumor sample, GASTON infers gradients of metabolic activity and epithelial-mesenchymal transition (EMT)-related gene expression in the tumor microenvironment.

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A nonneural miRNA cluster mediates hearing via repression of two neural targets

Zhang,

Duan,

Kavaler

et al. 2023

Genes Dev.

Self Cite

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We show here thatmir-279/996are absolutely essential for development and function of Johnston's organ (JO), the primary proprioceptive and auditory organ inDrosophila. Their deletion results in highly aberrant cell fate determination, including loss of scolopale cells and ectopic neurons, and mutants are electrophysiologically deaf. In vivo activity sensors and mosaic analyses indicate that these seed-related miRNAs function autonomously to suppress neural fate in nonneuronal cells. Finally, genetic interactions pinpoint two neural targets (elavandinsensible) that underlie miRNA mutant JO phenotypes. This work uncovers how critical post-transcriptional regulation of specific miRNA targets governs cell specification and function of the auditory system.

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Genetics of Mechanoreceptor Evolution and Development

Cited by 4 publications

References 268 publications

Characterization of cephalic and non-cephalic sensory cell types provides insight into joint photo- and mechanoreceptor evolution

Characterization of cephalic and non-cephalic sensory cell types provides insight into joint photo- and mechanoreceptor evolution

Mapping the topography of spatial gene expression with interpretable deep learning

A nonneural miRNA cluster mediates hearing via repression of two neural targets

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