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GENERAL COMMENTARY article

Front. Cell. Neurosci., 28 January 2016
Sec. Cellular Neurophysiology
Volume 9 - 2015 | https://doi.org/10.3389/fncel.2015.00520

Response: Commentary: “Prdm13 regulates subtype specification of retinal amacrine interneurons and modulates visual sensitivity”

  • Laboratory for Molecular and Developmental Biology, Institute for Protein Research, Osaka University, Osaka, Japan

A commentary on
Commentary: “Prdm13 regulates subtype specification of retinal amacrine interneurons and modulates visual sensitivity”

by Bowrey, H. E., and James, M. H. (2015). Front. Cell. Neurosci. 9:424. doi: 10.3389/fncel.2015.00424

First, on behalf of all of the authors of our paper, we thank Drs. Bowrey and James for their interest in our paper and for giving us their comments on the OKRs (Optokinetic Responses) of Prdm13-deficient (Prdm13−∕−) mice (Watanabe et al., 2015).

Drs. Bowrey and James hypothesized that Prdm13−∕− mice showed enhanced sensitivities to moving visual stimuli through “aliasing” caused by the decreased sampling function of the reduced numbers of amacrine cells in the retina (Bowrey and James, 2015). Aliasing is a phenomenon in which the presentation of continuously moving visual stimulus of high spatial frequency causes reduced neural sampling function, leading to misrecognition of a high frequency stimulus as a low frequency pattern (Gotz, 1964; Anderson and Hess, 1990; Coletta et al., 1990; Artal et al., 1995).

According to the previous studies on mouse visual function analysis, the optimal spatial frequency range, that which elicits smooth eye movement, is 0.01–0.5 cycle/degree, and the maximum spatial frequency for maintaining smooth eye movement without causing aliasing is 1.0 cycle/degree (Prusky et al., 2000; Geng et al., 2011). However, in fact, many experiments set the highest spatial frequencies lower than 1.0 cycle/degree (Prusky and Douglas, 2004; Prusky et al., 2004; van Alphen et al., 2010; Busse et al., 2011; Histed et al., 2012). In our study, we set the highest spatial frequency at 0.5 cycle/degree, at which aliasing is very unlikely to occur. Even if we suppose that aliasing can occur at 0.5 cycle/degree, the OKRs of Prdm13−∕− mice at 0.5 cycle/degree were unchanged in both initial and late phases compared with those in WT mice. This strongly suggests that an aliasing effect, which shows stronger responses at higher frequencies, was not observed at 0.5 cycle/degree.

Visual responses in classical OKR were measured basically by whether or not the mouse head or eye moves. On the other hand, the visual responses used in our OKR system are based on the speed of the smooth eye movements elicited by moving visual stimuli. In other words, the classical OKR digitally detected the existence of responses to visual stimuli, whereas our OKR continuously measured the extent of moving stimuli speeds. Hence, if aliasing occurred in our OKR system, eye movement speed would become slower, and reduced OKRs would be observed.

Most studies of retinal sampling function have focused on photoreceptors and ganglion cells (Missotten, 1974; Thibos et al., 1987; Dacey, 1993). The relationship between amacrine cell subtypes and retinal sampling function has barely been explored. On the other hand, it has been reported that direction-selective ganglion cells (DSGCs) in the retina provide direct inputs to the brainstem structures involved in OKRs (Oyster et al., 1980; Yonehara et al., 2009; Kim et al., 2010; Kay et al., 2011). DSGC spike responses were elicited by moving grating stimuli at spatial frequencies of 0.025–0.2 cycles/degree and temporal frequencies of 0.25–5.33 cycles/s in the preferred direction (Hoggarth et al., 2015). These spatiotemporal tuning properties of DSGCs are similar to those of mouse OKRs (Tabata et al., 2010). In our study, Prdm13−∕− mice showed OKRs at spatial frequencies of 0.03–0.25 cycles/degree and temporal frequencies of 0.375–12 cycles/s (Watanabe et al., 2015), which are consistent with the spatiotemporal frequency ranges of DSGCs. This suggests that DSGCs modulate the OKRs of Prdm13−∕− mice, as we mentioned in the Discussion of our paper. Furthermore, Hoggarth suggested that the GABAergic wide-field amacrine cells modulate the spatiotemporal tuning properties of DSGCs (Hoggarth et al., 2015). Since a significant number of Prdm13-positive amacrine cells are GABAergic, GABAergic wide-field amacrine cells might be affected in Prdm13−∕− mice. Hence, modulation of DSGCs may be the more probable mechanism affecting the OKRs of Prdm13−∕− mice than aliasing. However, further elucidation of the functional mechanisms of Prdm13-positive amacrine cells in the retinal circuit is needed.

Taking the above considerations together, we conclude that OKR enhancement in Prdm13−∕− mice is not due to aliasing. However, we do not deny the possibility that Prdm13-positive amacrine cells are involved in aliasing when it occurs. Further detailed analysis of Prdm13−∕− mouse visual function will advance our understanding of information processing in the intricate retinal circuit.

Author Contributions

YS, SW, and TF wrote the response commentary.

Funding

This work was supported by the Japan Science and Technology Agency (JST), Core Research for Evolutional Science and Technology (CREST), Hyogo Science and Techonology Association, The Osaka Community Foundation, and a Grant-in-Aid for Scientific Research (#15H04669).

Conflict of Interest Statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

References

Anderson, S. J., and Hess, R. F. (1990). Post-receptoral undersampling in normal human peripheral vision. Vision Res. 30, 1507–1515. doi: 10.1016/0042-6989(90)90031-F

PubMed Abstract | CrossRef Full Text | Google Scholar

Artal, P., Derrington, A. M., and Colombo, E. (1995). Refraction, aliasing, and the absence of motion reversals in peripheral vision. Vision Res. 35, 939–947. doi: 10.1016/0042-6989(94)00180-T

PubMed Abstract | CrossRef Full Text | Google Scholar

Bowrey, H. E., and James, M. H. (2015). Commentary “Prdm13 regulates subtype specification of retinal amacrine interneurons and modulates visual sensitivity.” Front. Cell. Neurosci. 9:424. doi: 10.3389/fncel.2015.00424

PubMed Abstract | CrossRef Full Text | Google Scholar

Busse, L., Ayaz, A., Dhruv, N. T., Katzner, S., Saleem, A. B., Scholvinck, M. L., et al. (2011). The detection of visual contrast in the behaving mouse. J. Neurosci. 31, 11351–11361. doi: 10.1523/JNEUROSCI.6689-10.2011

PubMed Abstract | CrossRef Full Text | Google Scholar

Coletta, N. J., Williams, D. R., and Tiana, C. L. M. (1990). Consequences of spatial sampling for human motion perception. Vision Res. 30, 1631–1648. doi: 10.1016/0042-6989(90)90149-F

PubMed Abstract | CrossRef Full Text | Google Scholar

Dacey, D. M. (1993). The mosaic of midget ganglion cells in the human retina. J. Neurosci. 13, 5334–5355.

PubMed Abstract | Google Scholar

Geng, Y., Schery, L. A., Sharma, R., Dubra, A., Ahmad, K., Libby, R. T., et al. (2011). Optical properties of the mouse eye. Biomed. Opt. Express 2, 717–738. doi: 10.1364/BOE.2.000717

PubMed Abstract | CrossRef Full Text | Google Scholar

Gotz, K. G. (1964). Optomotorische Untersuchung des visuellen systems einiger Augenmutanten der Fruchtfliege Drosophila. Kybernetik 2, 77–92. doi: 10.1007/BF00288561

PubMed Abstract | CrossRef Full Text | Google Scholar

Histed, M. H., Carvalho, L. A., and Maunsell, J. H. (2012). Psychophysical measurement of contrast sensitivity in the behaving mouse. J. Neurophysiol. 107, 758–765. doi: 10.1152/jn.00609.2011

PubMed Abstract | CrossRef Full Text | Google Scholar

Hoggarth, A., McLaughlin, A. J., Ronellenfitch, K., Trenholm, S., Vasandani, R., Sethuramanujam, S., et al. (2015). Specific wiring of distinct amacrine cells in the directionally selective retinal circuit permits independent coding of direction and size. Neuron 86, 276–291. doi: 10.1016/j.neuron.2015.02.035

PubMed Abstract | CrossRef Full Text | Google Scholar

Kay, J. N., De la Huerta, I., Kim, I. J., Zhang, Y., Yamagata, M., Chu, M. W., et al. (2011). Retinal ganglion cells with distinct directional preferences differ in molecular identity, structure, and central projections. J. Neurosci. 31, 7753–7762. doi: 10.1523/JNEUROSCI.0907-11.2011

PubMed Abstract | CrossRef Full Text | Google Scholar

Kim, I. J., Zhang, Y., Meister, M., and Sanes, J. R. (2010). Laminar restriction of retinal ganglion cell dendrites and axons: subtype-specific developmental patterns revealed with transgenic markers. J. Neurosci. 30, 1452–1462. doi: 10.1523/JNEUROSCI.4779-09.2010

PubMed Abstract | CrossRef Full Text | Google Scholar

Missotten, L. (1974). Estimation of the ratio of cones to neurons in the fovea of the human retina. Invest. Opthalmol. 13, 1045–1049.

PubMed Abstract | Google Scholar

Oyster, C. W., Simpson, J. I., Takahashi, E. S., and Soodak, R. E. (1980). Retinal ganglion cells projecting to the rabbit accessory optic system. J. Comp. Neurol. 190, 49–61. doi: 10.1002/cne.901900105

PubMed Abstract | CrossRef Full Text | Google Scholar

Prusky, G. T., Alam, N. M., Beekman, S., and Douglas, R. M. (2004). Rapid quantification of adult and developing mouse spatial vision using a virtual optomotor system. Invest. Opthalmol. Vis. Sci. 45, 4611–4616. doi: 10.1167/iovs.04-0541

PubMed Abstract | CrossRef Full Text | Google Scholar

Prusky, G. T., and Douglas, R. M. (2004). Characterization of mouse cortical spatial vision. Vision Res. 44, 3411–3418. doi: 10.1016/j.visres.2004.09.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Prusky, G. T., West, P. W., and Douglas, R. M. (2000). Behavioral assessment of visual acuity in mice and rats. Vision Res. 40, 2201–2209. doi: 10.1016/S0042-6989(00)00081-X

PubMed Abstract | CrossRef Full Text | Google Scholar

Tabata, H., Shimizu, N., Wada, Y., Miura, K., and Kawano, K. (2010). Initiation of the optokinetic response (OKR) in mice. J. Vision 10, 11–17. doi: 10.1167/10.1.13

PubMed Abstract | CrossRef Full Text | Google Scholar

Thibos, L. N., Cheney, F. E., and Walsh, D. J. (1987). Retinal limits to the detection and resolution of gratings. J. Opt. Soc. Am. A 4, 1524–1529. doi: 10.1364/JOSAA.4.001524

PubMed Abstract | CrossRef Full Text | Google Scholar

van Alphen, B., Winkelman, B. H., and Frens, M. A. (2010). Three-dimensional optokinetic eye movements in the C57BL/6J mouse. Invest. Opthalmol. Vis. Sci. 51, 623–630. doi: 10.1167/iovs.09-4072

PubMed Abstract | CrossRef Full Text | Google Scholar

Watanabe, S., Sanuki, R., Sugita, Y., Imai, W., Yamazaki, R., Kozuka, T., et al. (2015). Prdm13 regulates subtype specification of retinal amacrine interneurons and modulates visual sensitivity. J. Neurosci. 35, 8004–8020. doi: 10.1523/JNEUROSCI.0089-15.2015

PubMed Abstract | CrossRef Full Text | Google Scholar

Yonehara, K., Ishikane, H., Sakuta, H., Shintani, T., Nakamura-Yonehara, K., Kamiji, N. L., et al. (2009). Identification of retinal ganglion cells and their projections involved in central transmission of information about upward and downward image motion. PLoS ONE 4:e4320. doi: 10.1371/journal.pone.0004320

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: Prdm13, retina, amacrine cell, optokinetic response, aliasing

Citation: Sugita Y, Watanabe S and Furukawa T (2016) Response: Commentary: “Prdm13 regulates subtype specification of retinal amacrine interneurons and modulates visual sensitivity”. Front. Cell. Neurosci. 9:520. doi: 10.3389/fncel.2015.00520

Received: 25 November 2015; Accepted: 24 December 2015;
Published: 28 January 2016.

Edited by:

Gerald W. Zamponi, University of Calgary, Canada

Reviewed by:

Gautam Awatramani, University of Victoria, Canada

Copyright © 2016 Sugita, Watanabe and Furukawa. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Takahisa Furukawa, takahisa.furukawa@protein.osaka-u.ac.jp

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