Max Planck Institute for Chemical Ecology, Department of Evolutionary Neuroethology, Hans-Knöll-Straße 8, 07745, Jena, Germany.
Department of Behavioral Physiology & Sociobiology, Theodor-Boveri-Institute of Bioscience, Biocenter University of Würzburg, Am Hubland, 97074, Würzburg, Germany.
Sci Rep. 2017 Aug 10;7(1):7854. doi: 10.1038/s41598-017-08090-y.
Although we have considerable knowledge about how odors are represented in the antennal lobe (AL), the insects' analogue to the olfactory bulb, we still do not fully understand how the different neurons in the AL network contribute to the olfactory code. In Drosophila melanogaster we can selectively manipulate specific neuronal populations to elucidate their function in odor processing. Here we silenced the synaptic transmission of two distinct subpopulations of multiglomerular GABAergic local interneurons (LN1 and LN2) using shibire (shi ) and analyzed their impact on odor-induced glomerular activity at the AL input and output level. We verified that the employed shi construct effectively blocked synaptic transmission to the AL when expressed in olfactory sensory neurons. Notably, selective silencing of both LN populations did not significantly affect the odor-evoked activity patterns in the AL. Neither the glomerular input nor the glomerular output activity was modulated in comparison to the parental controls. We therefore conclude that these LN subpopulations, which cover one third of the total LN number, are not predominantly involved in odor identity coding per se. As suggested by their broad innervation patterns and contribution to long-term adaptation, they might contribute to AL-computation on a global and longer time scale.
尽管我们对气味在触角叶(AL)中的表示方式有相当多的了解,AL 是昆虫嗅觉球的模拟物,但我们仍不完全了解 AL 网络中的不同神经元如何为嗅觉代码做出贡献。在黑腹果蝇中,我们可以选择性地操纵特定的神经元群体,以阐明它们在气味处理中的功能。在这里,我们使用 shibire(shi )沉默了两个不同的多结节 GABA 能局部中间神经元(LN1 和 LN2)亚群的突触传递,并分析了它们对 AL 输入和输出水平上气味诱导的肾小球活动的影响。我们验证了当在嗅觉感觉神经元中表达时,所采用的 shi 构建体有效地阻断了突触传递到 AL。值得注意的是,与亲本对照相比,选择性沉默这两个 LN 群体都不会显著影响 AL 中的气味诱发活动模式。无论是肾小球输入还是肾小球输出活动都没有被调制。因此,我们得出结论,这些 LN 亚群覆盖了总 LN 数量的三分之一,本身并不是主要参与气味身份编码的。正如它们广泛的神经支配模式和对长期适应的贡献所表明的那样,它们可能会在全局和更长的时间尺度上为 AL 计算做出贡献。