Semiochemical responsive olfactory sensory neurons are sexually dimorphic and plastic
Abstract
Understanding how genes and experience work in concert to generate phenotypic variability will provide a better understanding of individuality. Here, we considered this in the main olfactory epithelium, a chemosensory structure with over a thousand distinct cell types in mice. We identified a subpopulation of olfactory sensory neurons, defined by receptor expression, whose abundances were sexually dimorphic. This subpopulation of olfactory sensory neurons was over-represented in sex-separated mice and robustly responsive to sex-specific semiochemicals. Sex-combined housing led to an attenuation of the dimorphic representations. Single-cell sequencing analysis revealed an axis of activity-dependent gene expression amongst a subset of the dimorphic OSN populations. Finally, the pro-apoptotic gene Baxwas necessary to generate the dimorphic representations. Altogether, our results suggest a role of experience and activity in influencing homeostatic mechanisms to generate a robust sexually dimorphic phenotype in the main olfactory epithelium.
Introduction
Emergence of individual variability is a ubiquitous feature across animals; individual variability refers to the differing biological factors ("nature"), experiences ("nurture"), and randomness (e.g., stochastic gene expression) that generate phenotypic variability. Evidence for this variability has led to extensive research on the adaptive significance and ecological, or evolutionary, consequences of individuality (Torquet et al., 2018). Nonetheless, insight into the relative contributions and proximal mechanisms of "nature" versus "nurture" in generating phenotypic variabilities have been largely elusive.
One robust example of nature-induced inter-individual variability is sexual dimorphism. Previous work has identified both anatomical and functional substrates of this variability in the nervous system of mice (Shah et al., 2004; Yang et al., 2013; Li et al., 2017; Remedios et al., 2017). Similarly, extensive literature points toward an essential role of nurture-induced variability by experience-dependent, or activity-dependent, neural plasticity (Zhao and Reed, 2001; Zou et al., 2004; Holtmaat and Svoboda, 2009). Here, to investigate how nature and nurture work in concert to generate phenotypic variability, we focused on the mouse main olfactory epithelium (MOE), a chemosensory structure devoted to the detection of volatile odor cues. Olfactory sensory neurons (OSNs) found in the MOE express a single olfactory receptor (OR) in a monoallelic fashion out of a large and diverse family of over 1000 candidate genes (Buck and Axel, 1991; Zhang and Firestein, 2002), thus enabling this system with an incredible potential for the emergence of individual variability at the level of cell types. Odor recognition at the level of OSNs additionally has been shown to follow a combinatorial coding scheme where one OR can be activated by a set of odorants and one odorant can activate a combination of ORs (Malnic et al., 1999; Jiang et al., 2015). Through such combinatorial coding, it has been postulated that organisms, including mice and humans, can detect and discriminate against a myriad of odor molecules.
We performed RNA-Seq on the whole olfactory mucosa of mice of different sexes ("nature") and experiences ("nurture") to investigate origins of inter-individual differences. In doing so, we uncovered a subset of ORs that exhibit sexually dimorphic expression under sex-separated conditions. In situ mRNA hybridization probing for the expression of these ORs demonstrated the proportions of OSNs expressing these ORs to be differentially represented between the sexes. Activity-dependent labeling experiments further identified the female enriched subpopulation of OSNs as selective responders to odor cues generated by mature male mice. Targeted screening of previously identified sex-specific and sex-enriched volatiles demonstrated that this subpopulation of OSNs also responded robustly to the reproductive behavior and physiology modifying semiochemicals 2-sec-butyl-4,5-dihydrothiazole (SBT) and (methylthio)methanethiol (MTMT) in vivo. Similarly, male enriched subpopulations of OSNs were identified as selective responders to macrocyclic musk odorants. To test the role of experience in generating the sexually dimorphic representation of ORs, we switched male and female mice from sex-separated conditions to sex-combined conditions and learned that the dimorphic representations had severely attenuated. Examination of single-cell transcriptomes from male OSNs expressing sexually dimorphic ORs revealed an enrichment of activity-dependent gene expression amongst OSNs expressing ORs enriched in female mice. Finally, testing of sex-separated mutant mice null for the pro-apoptotic gene Bcl2-associated X protein (Bax-/-) revealed a failure to generate robust sexual dimorphisms within the whole olfactory mucosa. Altogether, our results suggest a link between specific olfactory experiences and OSN lifespan via activity as a means to influence sensory cell-level odor representations in the olfactory system.
Results
Identification of sexually dimorphic ORs in the MOE
We first performed RNA-Seq on the whole olfactory mucosa of male and female mice at various ages housed under sex-separated conditions after weaning (Figure 1A). Differential expression analysis of ORs revealed no obvious sexually dimorphic OR expression at 3 weeks (weaning) age. In contrast, progressive differential expression analysis of ORs at 9, 26, and 43 weeks age revealed at least three OR genes, Olfr910, Olfr912, and Olfr1295, to exhibit growing and robust enrichment in female mice (male enriched ORs are discussed later; Figure 1B–E). Examination of the proportion reads aligned to each of these ORs longitudinally revealed amplification of the dimorphism between the sexes with longer-term sex-separation (Figure 1F). Furthermore, this amplification appeared to exhibit receptor-specific patterns, as Olfr1295 exhibited near-maximally dimorphic enrichment in female mice by 9 weeks age. In contrast, Olfr910 and Olfr912, which did not exhibit obvious dimorphic expression at 9 weeks age, were robustly dimorphic by 43 weeks age (at 43 weeks old: Olfr910 log2FC = 2.19 FDR < 6.71E-26, Olfr912 log2FC = 1.97 FDR < 3.41E-14, Olfr1295 log2FC = 2.55 FDR < 5.83E-19).
Past work demonstrating a correlation between OR transcript abundance and the number of OSNs expressing those ORs led us to quantify the number of OSNs expressing these ORs (Khan et al., 2011; Ibarra-Soria et al., 2017). We probed specifically for the expression of Olfr910, Olfr912, and Olfr1295 on the MOE of sex-separated male and female mice using anti-sense probes against the 3′ untranslated regions (UTRs) of each of these ORs (Figure 2—figure supplement 1A-C). The results of the in situ mRNA hybridization demonstrated that the proportion of OSNs expressing Olfr910, Olfr912, and Olfr1295 was greater in 43-week-old female mice than in 43-week-old male mice (all p < 0.0001, unpaired two-tailed t-test; Figure 2A–C). Altogether, these results demonstrate that the subpopulation of OSNs expressing Olfr910, Olfr912, and Olfr1295 are over-represented in sex-separated female mice compared to sex-separated male mice.
Sexually dimorphic OSNs are selectively activated by the scent of adult male mice in vivo
Our identification of a subpopulation of OSNs over-represented in sex-separated female mice led us to hypothesize a role of the associated ORs in detecting sex-specific odors. To test this hypothesis, we briefly exposed juvenile mice (~3 weeks old) to either a blank odor cassette (control), mature male mice, mature female mice, or 10 μL of 1% (v/v) acetophenone spotted onto blotting paper placed inside an odor cassette (Figure 3A). We specifically focused on OSNs expressing Olfr910, Olfr912, or Olfr1295 by in situ mRNA hybridization and performed immunostaining for the phosphorylation of ribosomal subunit S6 (pS6), a pan-neuronal marker of activity (Knight et al., 2012; Jiang et al., 2015).
Double in situ mRNA hybridization and immunostaining revealed the population of OSNs expressing Olfr910, Olfr912, and Olfr1295 to display elevated pS6 staining intensity only when exposed to mature male mice (all p < 0.0001, one-way ANOVA with Dunnett’s multiple comparisons test correction; Figure 3B–D, Figure 3—figure supplement 1A-C). Exposure to mature female mice or acetophenone did not lead to significant pS6 induction in the population of OSNs expressing either Olfr910, Olfr912, or Olfr1295 (all p > 0.05, one-way ANOVA with Dunnett’s multiple comparisons test correction; Figure 3B–D, Figure 3—figure supplement 1A-C). Altogether, these results demonstrate that the subpopulation of OSNs that express Olfr910, Olfr912, or Olfr1295 to be responders to the natural scent of mature male mice.
Sexually dimorphic OSNs are selectively responsive to specific semiochemicals in vivo
The observation that OSNs expressing Olfr910, Olfr912, and Olfr1295 are activated by the scent of mature male mice led us to hypothesize that this subpopulation of OSNs responds specifically to sexually dimorphic odors produced by mature male mice. To test this hypothesis, we searched the literature for known sex-specific or sex-enriched odors and leveraged phosphorylated S6 ribosomal subunit capture (pS6-IP) as a means to determine the molecular identities of the OSNs activated by monomolecular odorants in vivo. Immunoprecipitation of phosphorylated ribosomes from activated neurons, followed by associated mRNA profiling by RNA-Seq (pS6-IP-Seq) and differential expression analysis, enabled us to perform an unbiased identification of the molecular profiles, including ORs expressed, of OSNs activated by specific odorants (Figure 4A; Jiang et al., 2015; Hu et al., 2020).
While the origins of the differences between the scents of mature male and female mice are diverse, we reasoned that mouse urine could be a significant source of sexually dimorphic odor cues. Past literature contrasting intact male mouse urine, castrated male mouse urine, and female mouse urine volatiles has identified many components differing in their presence and abundance (Novotny et al., 1985; Jemiolo et al., 1986; Schwende et al., 1986; Jemiolo et al., 1991; Lin et al., 2005; Lin et al., 2007; López et al., 2014). Using pS6-IP-Seq we systematically screened the mouse urine constituents: 2-sec-butyl-4,5-dihydrothiazole (SBT), (methylthio)methanethiol (MTMT), β-caryophyllene, 3,4-dehydro-exo-brevicomin (DHB), 2,5-dimethylpyrazine (2,5-DMP), (E)-β-farnesene, and 2-heptanone (Figure 4B).
Differential expression analysis following pS6-IP-Seq across the tested panel of odorants (Figure 4C–D, Figure 4—figure supplement 1A-H, Figure 4—figure supplement 2A-D) led to the identification of the male-specific semiochemical SBT as an agonist for OSNs expressing Olfr910 or Olfr912, and the male-specific semiochemical MTMT as an agonist for OSNs expressing Olfr1295. Indeed, exposure to 10 μL of 0.01% (v/v) SBT led to the lowest false discovery rate (FDR) and greatest enrichment of transcripts for Olfr910 and Olfr912 from activated OSNs (at an FDR < 0.05), compared to all other ORs, suggesting OSNs expressing Olfr910 and Olfr912 to be the most robustly responding OSNs for SBT in vivo (Olfr910 log2FC = 2.88 FDR < 1.47E-25, Olfr912 log2FC = 3.10 FDR < 2.78E-36; Figure 4C). Similarly, exposure to 10 μL of 100 μM MTMT led to the lowest FDR and greatest enrichment of transcripts for Olfr1295 from activated OSNs (at an FDR < 0.05), compared to all other ORs, suggesting OSNs expressing Olfr1295 to be the most robustly responding OSNs for MTMT in vivo (Olfr1295 log2FC = 1.80 FDR < 3.72E-5; Figure 4D).
To independently validate the pS6-IP-Seq data, we briefly exposed juvenile mice to either an empty odor cassette (control), varying concentrations of SBT or MTMT, or 1% (v/v) acetophenone, and then harvested the MOE for staining. In situ mRNA hybridization probing for the expression of Olfr910 and Olfr912 followed by immunostaining for pS6 showed OSNs expressing Olfr910 and Olfr912 to display increasingly intense pS6 immunostaining following exposure to SBT in a concentration-dependent manner (Olfr910: 0.01% SBT p < 0.0001, 0.1% SBT p < 0.0001, 1% SBT p < 0.0001, one-way ANOVA with Dunnett’s multiple comparisons test correction, Olfr912: 0.01% SBT p < 0.01, 0.1% SBT p < 0.0001, 1% SBT p < 0.0001, one-way ANOVA with Dunnett’s multiple comparisons test correction; Figure 4E–F, Figure 4—figure supplement 3A-B). Similarly, OSNs expressing Olfr1295, identified by in situ mRNA hybridization, displayed increasingly intense pS6 immunostaining following exposure to MTMT, again, in a concentration-dependent manner (100 μM MTMT p < 0.0001, 10 mM MTMT p < 0.0001, one-way ANOVA with Dunnett’s multiple comparisons test correction; Figure 4G, Figure 4—figure supplement 3C). OSNs expressing Olfr910, Olfr912, or Olfr1295 also did not display significant pS6 signal intensity differences following exposure to acetophenone compared to control conditions (p > 0.05, one-way ANOVA with Dunnett’s multiple comparisons test correction; Figure 4E–G), consistent with a lack of enrichment of Olfr910, Olfr912, and Olfr1295 by pS6-IP-Seq following exposure to 1% (v/v) acetophenone (Jiang et al., 2015; Hu et al., 2020).
We then evaluated whether our identified ligand-receptor pairs also exhibited sexually dimorphic responses from OSNs expressing Olfr910, Olfr912, or Olfr1295 in mature male and female mice. To do this, we provided a brief exposure of either an empty odor cassette (control), 0.1% (v/v) SBT, 10 mM MTMT, or 1% (v/v) acetophenone to sex-separated, 26-week-old adult male and female mice and then harvested the MOE for staining. Double in situ mRNA hybridization and pS6 immunostaining revealed the following: OSNs expressing Olfr910 and Olfr912 showed increasingly intense pS6 signals only following SBT exposure (see summary statistics files; Figure 5A–B, Figure 5—figure supplement 1A-B), and OSNs expressing Olfr1295 showed increasingly intense pS6 signals only following MTMT exposure (see summary statistics files; Figure 5C, Figure 5—figure supplement 1C). We did not observe any sex bias in OSNs expressing Olfr910, Olfr912, or Olfr1295 by pS6 signal intensity induction after exposure to either SBT or MTMT, indicating a lack of sexual dimorphism in the response of OSNs to these stimuli (p > 0.05, one-way ANOVA with Tukey’s multiple comparisons test correction; Figure 5A–C, Figure 5—figure supplement 1A-C).
Long-term cohabitation with the opposite sex is sufficient to attenuate sexual dimorphism in the MOE
Emerging literature has evidenced a role for experience in influencing sensory cell representations within the whole olfactory mucosa (Xu et al., 2016; Ibarra-Soria et al., 2017; van der Linden et al., 2018). Thus, our identification of a subpopulation of over-represented OSNs in sex-separated female mice led us to hypothesize a role for experience in generating this dimorphism.
We hypothesized that regular exposure of a mouse to the opposite sex, by cohabitation, would influence the population dynamics of OSNs exhibiting dimorphic representations. To test this hypothesis, we used mice that were first sex-separated from weaning (~3 weeks age) until 26 weeks of age. These sex-separated mice were then switched to cohabitation with the opposite sex (sex-combined housing) from 26 weeks age to 43 weeks age (Figure 6A). At 43 weeks age, whole olfactory mucosa from each male and female mouse was harvested and processed for sequencing and histology.
Differential expression analysis of ORs from the whole olfactory mucosa from sex-combined male and female mice revealed a severe attenuation of the dimorphic expression of Olfr910, Olfr912, and Olfr1295 (at 43 weeks old: Olfr910 log2FC = 0.80 FDR > 0.65, Olfr912 log2FC = 0.59 FDR > 0.76, Olfr1295 log2FC = 0.76 FDR > 0.70; Figure 6B). After 17 weeks of sex-combined housing, the proportional expression of each of these receptors changed much more profoundly in female mice than male mice, again, in a receptor-specific fashion. Normalized expression of Olfr910 and Olfr912 appeared to be more similar between sex-separated males, sex-combined males, and sex-combined females while being distinct and less than sex-separated females. On the other hand, the normalized expression of Olfr1295 appeared to be greatest in sex-separated females, decreasing in sex-combined females, sex-combined males, and lowest in sex-separated males (Figure 6C). In situ mRNA hybridization to assess the proportional abundance of OSNs expressing these receptors revealed, again, that sex-separated female mice were distinct from sex-combined female, sex-combined male, and sex-separated male mice. Sex-separated female mice had an over-representation of OSNs expressing Olfr910, Olfr912, and Olfr1295 (all p < 0.0001, one-way ANOVA with Tukey’s multiple comparisons test correction; Figure 6D–F), while mice from other conditions were all comparable (p > 0.05, one-way ANOVA with Tukey’s multiple comparisons test correction; Figure 6D–F). These findings demonstrate cohabitation with the opposite sex, potentially via olfactory experience, is sufficient to attenuate the over-representation of the subpopulation of sexually dimorphic OSNs in sex-separated female mice.
Identification of male mouse over-represented OSNs and cognate ligands
In addition to identifying populations of OSNs over-represented in female mice, our RNA-Seq data also identified over-expression of Olfr1437 and Olfr235 in sex-separated male mice. Like female mouse over-represented ORs, Olfr1437 and Olfr235 failed to exhibit robust sexually dimorphic expression when mice were housed in a sex-combined fashion (Figure 7A–C). The results of in situ mRNA hybridization demonstrated that the proportion of OSNs expressing Olfr1437 to be greater in 43-week-old male mice than in 43-week-old female mice (p < 0.0001, unpaired two-tailed t-test; Figure 7—figure supplement 1A). Similar results for Olfr235 have been shown in van der Linden et al., 2018.
In our search for ligands activating sexually dimorphic ORs, we identified the macrocyclic musk odorant cyclopentadecanone (CPD; Figure 7D) as an agonist for OSNs expressing Olfr1437 and Olfr235 (Figure 7E). Importantly, past literature (McClintock et al., 2014) has also shown the macrocyclic musk odorant muscone to activate OSNs expressing Olfr1437 and Olfr235. These results suggest musk or musk-related odorants to activate sexually dimorphic, male-enriched populations of OSNs.
Enrichment of activity-associated genes among sexually dimorphic populations of OSNs
Given the large repertoire of ORs in mice, we found it remarkable that such a small number of ORs exhibited sexually dimorphic expression and representation. We therefore hypothesized OSNs expressing these ORs to harbor a unique gene expression program compared to OSNs expressing other ORs in a sex-specific manner. To test this hypothesis, we leveraged a recently published single-cell RNA-Seq dataset (Brann et al., 2020).
UMAP representations of mature OSN gene expressions, independent of chemosensory receptors, revealed sensory cells expressing Olfr910, Olfr912, and Olfr1295 to segregate toward a single extreme region while remaining far and distinct from sensory cells expressing Olfr1437 or Olfr235 (Figure 8A). Expression analysis revealed an enrichment of S100a5, Ptprn, Pcp4l1, and Nrp1 amongst OSNs expressing Olfr910, Olfr912, and Olfr1295. Importantly, enrichment of these genes had been shown to occur in the literature as a function of neural activity (Figure 8B–C; Imai et al., 2006; Nakashima et al., 2013; Wang et al., 2017). Since the singly sequenced mature OSNs from Brann et al., 2020 were collected from mature male mice, who self-expose to MTMT and SBT, these results are consistent with the idea that odor experience significantly influences gene expression in OSNs, via an activity-dependent process relying on ligand-receptor interactions, to drive dimorphic representations of Olfr910, Olfr912, and Olfr1295.
Generating robust sexual dimorphisms in the MOE is Bax-dependent
Our observation of specific experiences to influence OSN population dynamics led us to hypothesize a link between OSN activity and neuronal lifespan (Watt et al., 2004; Santoro and Dulac, 2012). Based on past work showing an association between the elongation of neuronal lifespan and Bax (Merry and Korsmeyer, 1997), we hypothesized a role for Bax in influencing sexually dimorphic OR representation by influencing OSN lifespan via an activity-dependent process.
To test the hypothesis of OSN activity influencing OSN lifespan in a Bax-dependent manner, we used Bax-/- mice. Compared to wild-type mice, differential expression analysis of RNA sequenced whole olfactory mucosa tissues from sex-separated 26-week-old Bax-/- male and female mice revealed an overall lack of sexual dimorphism in the expression of Olfr910, Olfr912, Olfr1295, Olfr1437, and Olfr235 (Figure 9A, Figure 9—figure supplement 1A). Additionally, in situ mRNA hybridization probing for the proportional abundance of OSNs expressing Olfr910, Olfr912, and Olfr1295, demonstrated no significant differences between sex-separated Bax-/- male and female mice by 43 weeks age (p > 0.05, unpaired two-tailed t-test; Figure 9B–D). While differential expression analysis comparing Bax-/- mice to wild-type mice revealed the expression of many ORs to change (Figure 9—figure supplement 2A-B), our results are consistent with the idea that the mechanisms underlying the generation of sexual dimorphism in the MOE are Bax-dependent and therefore likely driven by activity-dependent modulations in OSN lifespan.
Discussion
Using a series of independent but complimentary approaches, we have identified a subpopulation of OSNs, defined by receptor expression, to exhibit sexual dimorphism and experience-dependent plasticity. We have identified female mice, in the absence of a male mouse, to exhibit an over-representation of OSNs expressing Olfr910, Olfr912, and Olfr1295. Similarly, we have identified male mice, in the absence of a female mouse, to exhibit an over-representation of OSNs expressing Olfr1437 and Olfr235. Long-term cohabitation of mice belonging to opposite sexes led to an overall attenuation of the dimorphic over-representations of these ORs in both sexes. To confirm an OSN activity-dependent component of this phenomenon, we demonstrated female-enriched OSNs to not only be activated by the natural scent of mature male mice, but also to be exquisitely and robustly responsive to the previously identified male-specific semiochemicals SBT and MTMT. In our screening for ligands, we were also able to identify the macrocyclic musk odorant CPD to function as an agonist for male-enriched OSNs. Singly sequenced OSNs expressing Olfr910, Olfr912, and Olfr1295 collected from mature male mice revealed an enrichment of activity-related genes to suggest an axis of activity to influence gene expression in OSNs that may underlie the generation of the robust sexually dimorphic representations of these receptors. Finally, the observation that sex-separated Bax-/- mice fail to generate robust sexual dimorphisms in the MOE suggest a role of cell death in generating dimorphic representations of ORs in sex-separated male and female mice.
Olfactory experience as a mechanism to influence OSN population dynamics
Given the capacity of the MOE to regenerate throughout the life of an animal (Fletcher et al., 2011; Brann and Firestein, 2014), it has been suggested that activity-mediated mechanisms may "individualize" the olfactory system by influencing OSN population dynamics (Ibarra-Soria et al., 2017). While we acknowledge cohabitation of the opposite sexes can induce a number of changes in the nervous system of mice (compared to sex-separation) (Li et al., 2017; Remedios et al., 2017; Vinograd et al., 2017), we propose that changes in OSN population dynamics following cohabitation for OSNs expressing Olfr910, Olfr912, and Olfr1295, are in part mediated by olfactory experience with SBT and MTMT. The lengthy timeframes necessary to generate the differences that we observe are consistent with the hypothesis of modulation of OSN lifespan by activity. Nonetheless, we cannot rule out contributions of experience on OSN neurogenesis rates or OR gene choice (van der Linden et al., 2020). Questions regarding the individual contributions, or non-contributions, of OSN development and lifespan to generate this dimorphism remain open.
Additionally, the form of plasticity we observe here appears to employ a distinct time course from reports of learning and fear conditioning influencing the glomerular responses (Kass et al., 2013; Abraham et al., 2014) or proportional abundance of OSNs expressing ORs responsive to the fear-conditioned odor (Jones et al., 2008; Dias and Ressler, 2014; Morrison et al., 2015). In the case of fear conditioning to acetophenone, the number of OSNs expressing M71 (Olfr151) appears to profoundly upregulate within just 3 weeks. In contrast, even by 9 weeks (~6 weeks post-weaning), Olfr910, Olfr912, and Olfr1295 are not significantly differentially expressed (Olfr910 log2FC = 0.54 FDR > 0.24, Olfr912 log2FC = −0.26 FDR > 0.64, Olfr1295 log2FC = 0.65 FDR > 0.12; Figure 1C). Altogether, these observations lead us to speculate the existence of a multitude of distinct mechanisms, operating at non-identical time scales, to influence OSN population dynamics. Future work to identify and demonstrate these mechanisms is necessary to deepen our understandings of these phenomena and experience-dependent plasticity within the MOE.
Macrocyclic musk responsiveness in sexually dimorphic male-enriched ORs
Our identification of the macrocyclic musk odorant CPD as an agonist for OSNs expressing the male-enriched ORs Olfr1437 and Olfr235 is both intriguing, and consistent, with the previous findings that showed activation of OSNs expressing these receptors by the macrocyclic musk odorant muscone (McClintock et al., 2014; Sato-Akuhara et al., 2016). Given the sex-specificity of macrocyclic musk odorants in nature, including in the Moschus (musk deer) and Ondatra (muskrat) species, it has been theorized that this family of odorants may be involved in chemical communication, potentially encoding information about the sex and maturity of an individual (Li et al., 2016; Lee et al., 2019). Although we were unable to find any literature of sex-specific macrocyclic musk volatile secretion by Mus musculus, it is tempting to speculate on the existence of a macrocyclic musk molecule, perhaps generated by female mice, that doubles as a semiochemical.
A decrease in male-specific semiochemical responsive OSNs in females following sex-combined housing
The finding of over-represented OSN subpopulations robustly responsive to male-specific semiochemicals to decrease in proportional abundance in sex-separated females following sex-combined housing, while consistent with the literature (Xu et al., 2016; Ibarra-Soria et al., 2017; van der Linden et al., 2018), is unexpected. The results suggest that once females receive exposure to male-specific semiochemicals, their detectability for semiochemicals slowly decreases over time, reflecting a potential homeostatic "gain control" mechanism for salient cue detection at the level of primary sensory neurons.
Our further finding that sex-separated Bax-/- mice do not exhibit robust sexually dimorphic representations of ORs point toward a potential role of activity-dependent changes in neural lifespan. Although loss of Bax causes changes in the expression of many ORs when compared with wild-type controls (Figure 9—figure supplement 2A-B), we speculate the lack of robust sexual dimorphism in sex-separated Bax-/- mice to be a result of the lack of Bax-regulated activity-dependent alteration of sensory neuron lifespan. Since Bax-/- mice also show an expanded olfactory epithelial thickness (Robinson et al., 2003), the lack of the robust sexually dimorphic representation of ORs may also be a consequence of the expansion of OSNs expressing other ORs responding to self-generated or environmental cues. Future work aimed at understanding the role of OR activity mediated regulation of OSN lifespan and representation will provide mechanistic insights.
Ventral localization of sexually dimorphic populations OSNs
Despite the early discoveries of ORs being expressed in highly stereotyped locations, the functional consequences of these zonal expression distributions have remained unclear (Ressler et al., 1993; Vassar et al., 1993). It is interesting to note, all of the identified sexually dimorphic populations of OSNs (Olfr910, Olfr912, Olfr1295, Olfr1437, and Olfr235) were localized to the ventral region of the MOE (Tan and Xie, 2018; Hu et al., 2020). These results are consistent with past work showing a robust response in the ventral region of the olfactory bulb to male mouse urine (Lin et al., 2005; Xu et al., 2005). Based on past findings showing a direct projection from a subset of ventrally localized olfactory bulb mitral cells to the amygdala (Kang et al., 2009; Inokuchi et al., 2017), it is tempting to speculate that a subset, or even all, of these sexually dimorphic populations of OSNs innervate these previously identified olfactory bulb mitral cells that project to the amygdala.
The influence of OR activity on OSN gene expression
In our analysis of singly sequenced mature OSNs expressing Olfr910, Olfr912, and Olfr1295 harvested from mature male mice we observed a clear enrichment in the expression of numerous activity-associated genes (see summary statistics files; Figure 8B-C). Importantly, the expression of many of these same genes was also previously shown to be changed as a function of OSN activity using surgical strategies like unilateral naris occlusion (Wang et al., 2017), and transgenic strategies like knock-in expression of constitutively active Gs (Imai et al., 2006), and knock-in expression of wild-type and activity-deficient mutant non-OR G-protein coupled receptors (Nakashima et al., 2013). Furthermore, these same activity-associated enriched genes were not enriched in singly sequenced mature OSNs expressing Olfr1437 and Olfr235, consistent with the idea that male mice do not generate agonists for these ORs (see summary statistics files; Figure 8A-C).
By using an UMAP embedding to examine chemosensory receptor-independent gene expressions of all singly sequenced mature OSNs, we did not observe any obvious and discrete cluster formations. While OSNs expressing Olfr910, Olfr912, and Olfr1295 segregated to a single extreme region, they were not removed from the larger embedding itself, and also overlapped with OSNs expressing other ORs. Since UMAP representations emphasize local distances while preserving global structure, these results lead us to speculate that the mechanism by which OR activity influences OSN gene expression to potentially drive the generation of the sexually dimorphic representations of Olfr910, Olfr912, and Olfr1295 is not specific to OSNs expressing these ORs. The overlap between OSNs expressing Olfr910, Olfr912, and Olfr1295 with OSNs expressing other ORs in the UMAP embedding also indicates mechanisms like the basal level of OR activity may be implicated in OR-dependent OSN representation. Such a finding would be consistent with the idea of a vectorizable axis of OR activity influencing OSN gene expression and representation.
Similarly, if female mice naturally produce ligands for OSNs expressing Olfr1437 and Olfr235, and the mechanism of the dimorphic representation of Olfr1437 and Olfr235 is driven by activity like we speculate for Olfr910, Olfr912, and Olfr1295, then we would expect OSNs expressing Olfr1437 and Olfr235 to segregate to a single extreme region when harvested from mature female mice and compared to many other mature OSNs harvested from mature female mice. Future work performing single-cell sequencing on mature OSNs harvested from both male and female mice housed under various conditions will likely provide insights into the specificity of why such a small subset of ORs exhibit experience-dependent sexually dimorphic representations.
Sexual dimorphism in OSNs responsive to semiochemicals
Plasticity within the OSN population can be postulated to enable adaptation of an individual’s olfactory system for the sensitive detection of salient odors, which may vary from one environment to another. While sex-specific chemical cues have been implicated in instinctual behaviors and physiological responses (Novotny et al., 1985; Jemiolo et al., 1986; Sam et al., 2001; Chamero et al., 2007; Haga et al., 2010; Dewan et al., 2013; Ferrero et al., 2013; Li et al., 2013; Haga-Yamanaka et al., 2014; Fu et al., 2015; Hattori et al., 2017), the degree to which animals are exposed to these chemical cues in nature may vary substantially among individuals.
A report by van der Linden et al., 2018 also identified sexually dimorphic expression of a subset of ORs using a combination of sequencing and histology-based approaches. Our data agree in the following manner: identification of the sexually dimorphic expression of Olfr910, Olfr912, Olfr1295, Olfr1437, and Olfr235 in mice housed in a sex-separated manner; demonstration of activation of OSNs expressing Olfr910, Olfr912, and Olfr1295 following exposure to mature male mice; a general lack of sexual dimorphism in OR expression in mice housed in a sex-combined manner. Together, our findings of experience to influence OSN population dynamics suggest a role of experience in adjusting an animal’s sensitivity to salient chemical cue detection.
Our identification of the semiochemicals SBT and MTMT as robust agonists for Olfr910, Olfr912, and Olfr1295 posit a number of intriguing speculations. Remarkably, other ORs activated by SBT and MTMT did not exhibit sexual dimorphism. Furthermore, when we tested other sex-specific and sex-enriched odorants, we did not observe activation of OSNs expressing Olfr910, Olfr912, or Olfr1295 (Figure 4—figure supplement 1), nor did cognate receptors for these other odors exhibit sexually dimorphic expression (Figure 4—figure supplement 2). These results altogether lead us to hypothesize a specialized role for Olfr910, Olfr912, and Olfr1295 in conveying a salient signal about SBT and MTMT from the olfactory periphery to the central nervous system.
The identification of a subpopulation of OSNs to be plastic and robustly responsive to male-specific semiochemicals also raise speculations about the flexibility of an individual’s behavioral responses to semiochemicals. That is, while behavioral and physiological responses to semiochemicals have traditionally been viewed as genetically predetermined and ‘hardwired,’ there may exist a significant context and experience-dependent flexibility. For example, it has been previously shown that group housed sex-separated female mice exhibit a general suppression and irregularity in estrous cycling. Upon exposure to a mature male mouse, these unisexually grouped female mice often rapidly and synchronously enter into estrus (Whitten effect) (Whitten, 1956; Whitten, 1957; Whitten, 1959; Whitten et al., 1968; Gangrade and Dominic, 1984). Past implications of SBT also inducing the Whitten effect (Jemiolo et al., 1986) along with our finding of Olfr910 and Olfr912 to be robustly responsive to SBT and over-represented in sex-separated female mice lead us to speculate that the over-representation of these ORs serves to enhance SBT detection for mediation of the Whitten effect. Past implications of MTMT influencing female mouse attractive behaviors (Lin et al., 2005) along with our finding of Olfr1295 to be robustly responsive to MTMT and over-represented in sex-separated female mice lead us to speculate over-representation of this OR to serve to enhance MTMT detection for mediating attractive responses. Testing these, as well as other possibilities, to link semiochemicals to behavioral and physiological outputs, at the level of molecules, cells, and circuits, remain outstanding.
Materials and methods
Animal husbandry
Request a detailed protocolWild-type C57BL/6J (Jackson Labs 000664) and Bax-/- (Jackson Labs 002994) were bought and maintained at institutional facilities. Procedures of animal handling and tissue harvesting were approved by the Institutional Animal Care and Use Committee of Duke University. Animals were killed within 7 days of the ages reported in this study. Sex-separated male and female mice were socially housed with two to five animals per cage. Sex-combined cages contained one male and one female. All sex-combined cages produced litters. Pups were aged to P21-P28 before being weaned or used for independent experiments.
Three male and three female biological replicates were used in each condition to sequence wild-type and Bax-/- whole olfactory mucosa tissues (MOE + other tissues in the nose). Three male and three female wild-type and Bax-/- mice were used in each condition to examine MOE in situ.
Preparation of olfactory tissues for RNA-Seq
Request a detailed protocolWhole olfactory mucosa was rapidly collected in 5 mL tubes and flash-frozen in liquid nitrogen from mice killed by CO2 asphyxiation and decapitation. Tissues were kept frozen at −80 °C until time of RNA extraction. To extract RNA, 1 mL of TRIzol (Life Technologies 15596026) was added to frozen tissue followed by homogenization until no large pieces were readily identifiable. Homogenized tissue was transferred to new 1.5 mL tubes and centrifuged at max speed for 10 min. Supernatant was then transferred to new 1.5 mL tubes containing 0.2 mL chloroform and vortexed for 3 min. Samples were again centrifuged at max speed for 15 min and the aqueous phase was transferred to new tubes containing 0.5 mL of isopropanol. Samples were incubated at room temperature for 5 min and then centrifuged at max speed for 10 min. Supernatant was decanted and the visible pellet was washed 150 μL of 75% ethanol, centrifuged, and washed again with 180 μL of 75% ethanol. After centrifugation, ethanol wash was pipetted away and RNA pellets were allowed to air-dry with tube lids kept open for 10 min. Pellets were then dissolved in RNase-free water by heating to 55 °C for 10 min. RNA concentration was quantified using a QUBIT HS RNA Assay Kit (ThermoFisher Q32855).
Eighty-eight μL of sample was subjected to RNase-free DNaseI treatment by the addition of 10 μL of 10X Buffer and 2 μL of RNase-free DNaseI (Roche 04 716 728 001) for 30 min at 37 °C. Following DNaseI treatment, samples were subjected to a modified RNeasy mini protocol for RNA cleanup (Qiagen 74104). A total of 350 μL of buffer RLT was added to the 100 μL sample, mixed, and centrifuged. Then, 250 μL ethanol was added, mixed, and immediately transferred to a mini-column. Sample loaded columns were centrifuged for 30 s. Five hundred μL of ethanol diluted buffer RPE was then used to wash the column twice, and sample was eluted in new 1.5 mL tubes with 100 μL of RNase-free water. Presence of RNA was confirmed by the QUBIT HS RNA Assay Kit.
Amplified cDNA from RNA was prepared using a SMART-Seq v4 Ultra Low Input RNA Kit (Takara 634898) protocol as per the manufacturer’s guidelines. In the case of whole olfactory mucosa sequencing, two rounds of cDNA amplification were used with 1000 ng of input RNA. DNA libraries were prepared using a half-sized Nexterra XT DNA Library Preparation Kit (Illumina 15032354) protocol as per the manufacturer’s guidelines. Libraries were sequenced on either HiSeq 2000/2500 (50 base pair single read mode) or NextSeq 500 (75 base pair single read mode) with 6–12 pooled indexed libraries per lane. Reads were aligned against a modified GRCm38.p6 (M25) reference, in which we deleted ENSMUSG00000116179 (Olfr290), using STAR (Dobin et al., 2013) with --outFilterMultimapNmax 10. Reads mapping to Olfr290 were inferred from ENSMUSG00000070459, with the rationale that this gene model included ENSMUSG00000116179 plus untranslated regions. Gene-level read quantification was done using RSEM (Li and Dewey, 2011). Differential expression analysis was performed against all genes using EdgeR (Robinson et al., 2010). Gene nomenclature was retrieved from BioMart (Smedley et al., 2009). Intact Olfr genes were filtered, and p-values were then re-corrected by FDR. Receptor-specific read proportions were calculated by comparing reads mapped to the specific Olfrs compared to those mapped to other Olfrs. Raw and processed datasets generated as part of this study are available from NCBI GEO at accession GSE160272.
Cloning OR coding and untranslated region sequences
Request a detailed protocolTo identify unique 3′ UTR regions of Olfr910, Olfr912, and Olfr1295, all whole olfactory mucosa RNA-Seq fastq files were first concatenated in a sex-specific manner. Reads were then uniquely aligned using STAR using --outFilterMultimapNmax 1. BAM files were sorted and indexed for read mapping visualization using Samtools (1000 Genome Project Data Processing Subgroup et al., 2009). Regions at the 3' end of the coding sequence, that were occurring within defined transcript variants of each of the ORs were then individually subjected to NCBI BLAST until a unique region of at least 500 bases was identified. To each of the forward primers a 5'-AA-3' and 5'-ACGCGT-3′(MluI restriction site) was appended. To each of the reverse primers a 5′-AA-3′ and 5′-GCGGCCGC-3′ (NotI restriction site) was appended. The final primer sequences were as follows: Olfr910 forward: 5′-AAACGCGTGTGAAAATTGTGACAGATCCA-3′, Olfr910 reverse: 5′-AAGCGGCCGCCATTTACAAGAAGGGAATCAG-3′, Olfr912 forward: 5′-AAACGCGTACTTTGTTCTGATTCAGTTGTT-3′, Olfr912 reverse: 5′-AAGCGGCCGCGTCCACAGAGCAATACAACA-3′, Olfr1295 forward: 5′-AAACGCGTACTCCTCTCCTAAATCCAAC-3′, Olfr1295 reverse: 5′-AAGCGGCCGCGGCAGCACCACTGATCAA-3′. An identical methodology was used to clone the coding sequence of Olfr1437.
Regions of interest were amplified from genomic DNA using Phusion (NEB F530S) as per the manufacturer’s guidelines. Amplified fragments were cloned into pCI expression vectors (Promega E1731) containing the first 20 residues of human rhodopsin (Rho-pCI) and were verified by sequencing.
Generation of anti-sense RNA probes
Request a detailed protocolTo generate anti-sense digoxigenin (DIG)-RNA probes, ORFs were amplified (Qiagen 203203) from Rho-pCI vectors and purified via a MinElute Kit (Qiagen 28004) using manufacturer protocols with an added T3 polymerase promoter sequence at the 3’ end. Anti-sense RNA was then in vitro transcribed using a T3 RNA polymerase (Promega P2083) and a DIG RNA labeling mix (Roche 11277073910) using manufacturer protocols. RNA probes were then alkaline hydrolyzed (80 mM NaHCO3, 120 mM Na2CO3) for 60 °C for 15 min and purified using a microcolumn (Bio-Rad 732–6223). Probe integrity was assessed by agarose gel and kept at −80 °C when not in use.
Preparation of olfactory tissues for staining and in situ mRNA hybridization
Request a detailed protocolFor all adult mouse experiments, since Olfr910, Olfr912, Olfr1295, Olfr1437, and Olfr235 are all expressed ventrally (Tan and Xie, 2018), sensory epithelium attached to the septum was rapidly micro-dissected and frozen in embedding medium (Sakura Finetek 4583) from mice killed by CO2 asphyxiation and decapitation. For juvenile mice, full snouts were prepared. Eighteen to 22 μm fresh frozen coronal sections were cut using a cryostat (Leica CM1850) onto microscope slides (Fisherbrand Superfrost Plus 1255015) and kept at −80 °C until use.
For in situ RNA probe hybridization, slides were brought to room temperature, dried and rapidly fixed in 4% paraformaldehyde in 1x PBS (pH 7–8) for 15 min. Slides were then washed twice 1x PBS and submerged into a triethanolamine solution consisting of 700 mL dH2O with 8.2 mL triethanolamine. 1.75 mL of acetic anhydride was then added dropwise over the course of 7 min with constant and slow stirring for a total of 10 min, all at room temperature. Slides were then washed with 1x PBS and blocked with prehybridization solution consisting of 50% formamide (Invitrogen 15515-026), 5x SSC, 250 μg/mL Baker's yeast RNA (Sigma R6750), 100 μg/mL herring sperm DNA (Sigma D7290), 1 mM DTT, and 300 U/mL heparin (Sigma H3393) for 1 hr at 58 °C in a humidified hybridization oven. RNA probe concentrations were then individually optimized by dilution in prehybridization buffer and pipetted directly onto slides and covered with laboratory film (Parafilm 54956) for overnight hybridization at 58 °C. Slides were then rinsed the next day in 72 °C heated 5x SSC twice, washed twice in 72 °C heated 0.2x SSC for 30 min per wash, and again finally washed in 1x PBS for a minimum of 5 min at room temperature. Slides were then blocked with 0.5% nucleic acid blocking reagent (Roche 11096176001) dissolved in a 1x PBS containing maleic acid (Sigma M0375) for 30 min. Blocking solution was then replaced with 1:1000 horseradish peroxidase (HRP)-conjugated anti-DIG antibody (Roche 11207733910) solution diluted in the blocking medium for 45 min. Slides were then washed in 1x PBS three times, 10 min per wash, and coated with 0.1% BSA in 1x PBS. Hybridization signals were detected using tyramide signal amplification (TSA) with TSA-Fluorescein (PerkinElmer NEL741B001KT) as the fluorophore diluted 1:400 in 1x PBS containing 0.003% H2O2 via incubation for 10 min in darkness, all at room temperature.
For pS6 immunostaining, slides were blocked in 5% skim milk dissolved in 1x PBS containing 0.1% Triton X-100 at room temperature for 1 hr. Blocking solution was then replaced with 1:300 anti-pS6 antibody (ThermoFisher 44–923G) dissolved in blocking solution and incubated overnight at 4 °C. Anti-pS6 antibody was detected using a 1:200 Cy3-conjugated secondary (Jackson Immuno 711-165-152) diluted in 5% skim milk dissolved in 1x PBS by incubation for 45 min in darkness. Cell nuclei were detected using a 1/10,000 dilution of a 1% Bisbenzimide (Sigma Bisbenzimide H 33258) solution by incubation for 5 min at room temperature. All slides were rinsed in dH2O, cover slipped, and allowed to dry before examination under a microscope.
Slide microscopy and image quantification
Request a detailed protocolZ-stacked images with 2 µm intervals between each slice were obtained at 200 × magnification using the Zeiss Axiocam MRm and upright inverted fluorescent microscope with ApoTome functionality. The filter sets used were as follows: Zeiss filter set #38 for Fluorescein, #43 for Cy3, and #49 for Bisbenzimide. For OSN density quantification, areas were visually drawn in ImageJ around the OSN layer of the sensory epithelia in each image. In situ mRNA hybridization positive cells were counted to report a density of specific OSNs per unit area. Data are reported as the density of OSNs expressing specific receptors per imaged 20-µm section as individual data points. For pS6 signal intensity quantification, Cy3 signals (pS6 intensity) within Fluorescein-positive cells (OR expression) were merged as a maximum intensity projection in ImageJ. Average pS6 signal intensities within single cells were then normalized by average pS6 signal intensities across all OSNs in the OSN layer of the sensory epithelia within the same image to report a normalized single neuron pS6 signal intensity as an individual data point.
Odor exposures
Request a detailed protocolAll juvenile mice used in this study were ~3 weeks old. Mice were habituated for 1 hr in a clean and covered single-use paper container (International Paper DFM85) in a fume hood. For odor exposure, mice were then transferred to a new paper container containing either the mature male mice (~8 weeks old), mature female mice (~8 weeks old), or diluted odorant for another hour. All odorant exposures in this study consisted of 10 μL of stimulus spotted onto a cut blotting pad (VWR 28298–014) placed inside an odor cassette (Sakura Finetek 0006772–01). All odorants, unless otherwise stated, were diluted in water, vortexed, and rapidly spotted. MTMT and CPD were diluted in ethanol. Control experiments for odor exposures consisted of exposing mice to water or ethanol spotted on blotting pads placed in odor cassettes. Odor exposure experiments on juvenile mice employed both male and female mice. Odor exposure experiments on mature mice used both males and females. Mature females used were at or near estrus determined by vaginal cell cytology (Byers et al., 2012).
Phosphorylated S6 ribosomal capture (pS6-IP)
Request a detailed protocolMice used for pS6-IP were ~3 weeks old, mixed sex, littermates. Mice were killed by CO2 asphyxiation and cervical dislocation. Olfactory tissue was rapidly dissected in Buffer B (2.5 mM HEPES KOH pH 7.4, 0.63% glucose, 100 μg/mL cycloheximide, 5 mM sodium fluoride, 1 mM sodium orthovanadate, 1 mM sodium pyrophosphate, 1 mM β-glycerophosphate, in Hank’s balanced salt solution). Tissue pieces were then minced in 1.35 mL Buffer C (150 mM KCl, 5 mM MgCl2, 10 mM HEPES KOH pH 7.4, 0.100 μM Calyculin A, 2 mM DTT, 100 U/mL RNAsin, 100 μg/mL cycloheximide, protease inhibitor cocktail, 5 mM sodium fluoride, 1 mM sodium orthovanadate, 1 mM sodium pyrophosphate, 1 mM β-glycerophosphate)and subsequently transferred to homogenization tubes for steady homogenization at 250 rpm three times and at 750 rpm nine times at 4 °C. Samples were then transferred to a 1.5 mL LoBind tube (Eppendorf 022431021) and clarified at 2000xg for 10 min at 4 °C. The low-speed supernatant was transferred to a new tube on ice, and to this solution was added 90 μL of NP40 (Sigma 11332473001) and 90 μL of 1,2-diheptanoyl-sn-glycero-3-phosphocholine (DHPC, Avanti Polar Lipids 850306P, 100 mg/0.69 mL). This solution was mixed and then clarified at a max speed (17,000xg) for 10 min at 4 °C. The resulting high-speed supernatant was transferred to a new tube where 20 μL was saved and transferred to a tube containing 350 μL buffer RLT. To the remainder of the sample, 1.3 μL of 100 μg/mL cycloheximide, 27 μL of phosphatase inhibitor cocktail (250 mM sodium fluoride, 50 mM sodium orthovanadate, 50 mM sodium pyrophosphate, 50 mM β-glycerophosphate) and 6 μL of anti-pS6 antibody (Cell Signaling D68F8) was added. The sample was gently rotated for 90 min at 4 °C. To prepare beads, 100 μL of beads (Invitrogen 10002D) was washed three times with 900 μL of buffer A (150 mM KCl, 5 mM MgCl2, 10 mM HEPES KOH pH 7.4, 10% NP40, 10% BSA), and once with 500 μL of buffer C. Sample homogenate was added to the beads and incubated with gentle rotation for 60 min at 4 °C. Following incubation, beads were washed with four times with 700 μL of buffer D (350 mM KCl, 5 mM MgCl2, 10 mM HEPES KOH pH 7.4, 10% NP40, 2 mM DTT, 100 U/mL RNAsin, 100 μg/mL cycloheximide, 5 mM sodium fluoride, 1 mM sodium orthovanadate, 1 mM sodium pyrophosphate, 1 mM β-glycerophosphate). During the final wash, beads were moved to room temperature, wash buffer was removed, and 350 mL of buffer RLT was added. Beads were incubated in buffer RLT for 5 min at room temperature. Buffer RLT containing immunoprecipitated RNA was then eluted and stored at −80 °C until clean up using a kit (Qiagen 74004). cDNA was generated using 11 rounds of amplification with 10 ng RNA input.
Source of odorants
Request a detailed protocolMTMT was synthesized as previously described in Lin et al., 2005. Racemic SBT was synthesized in two steps from 2-aminoethanol and methyl 2-methylbutanedithioate (Meijer et al., 1973) in >80% yield (Abrunhosa et al., 2001). The final product showed high purity by gas chromatography, 1H and 13C NMR, and mass spectroscopic data. The data were in agreement with reported parameters for this compound (Tashiro and Mori, 1999). DHB was synthesized as previously described (Wiesler et al., 1984). β-Caryophyllene (Sigma W225207), 2,5-DMP (Sigma 175420), 2-heptanone (Sigma W254401), (E)-β-farnesene (Bedoukian P3500-90), and CPD (Sigma C111201) were purchased.
Single-cell RNA-Seq analysis
Request a detailed protocolUnique molecular identifier (UMI) counts were downloaded from NCBI GEO accession GSE151346. Mature OSNs were subset into a Seurat (v 3.2.2) object (Butler et al., 2018). For UMAP dimensionality reduction, mitochondrial genes, and genes beginning with "Olfr" and "Taar" were pre-filtered. Highly variable and predicted olfactory receptor genes "OR5BS1P", "Gm13762", "Gm13723", and "Gm13757" were also pre-filtered. UMI counts were then log-normalized, scaled, and top variable genes identified by the "vst" selection method were examined to confirm no chemosensory receptor or predicted chemosensory receptor genes. The dimensionality of the data was then reduced via principal component analysis. Eighteen dimensions were used as input for two dimensional UMAP visualization.
Mature OSNs were each assigned an intact olfactory receptor defined by the greatest number of raw UMI counts for that cell. To identify genes enriched, cells expressing Olfr910, Olfr912, and Olfr1295 were pooled (A), cells expressing Olfr1437 and Olfr235 were pooled (B), cells expressing Olfr910, Olfr912, Olfr1295, Olfr1437, and Olfr235 were pooled (C). Pools A, B, and C were then individually differentially expressed to all other mature OSNs. Only genes with an average log fold change > 0 and p-adjusted < 0.05 were considered. Further analysis was then focused on the subset of enriched genes that were then also consistently found in the literature to be implicated in activity-dependent processes. Shown genes were also cross validated by differentially expressing normalized and scaled UMI counts of single receptor expressing OSNs (post-filtering of "Olfr", "Taar", and predicted olfactory receptors) to all mature OSNs to confirm an average log fold change > 0 and p-adjusted value < 0.05 in at least one of the cell types (see summary statistics for Figure 8).
Data availability
Sequencing data have been deposited in GEO under accession codes GSE160272.
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NCBI Gene Expression OmnibusID GSE160270. Semiochemical responsive olfactory sensory neurons are sexually dimorphic and plastic [RNA-Seq of whole olfactory mucosa].
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NCBI Gene Expression OmnibusID GSE160271. Semiochemical responsive olfactory sensory neurons are sexually dimorphic and plastic [pS6-IP-Seq of whole olfactory mucosa].
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NCBI Gene Expression OmnibusID GSE151346. Non-neuronal expression of SARS-CoV-2 entry genes in the olfactory system suggests mechanisms underlying COVID-19-associated anosmia (scRNA-seq: olfactory mucosa).
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Article and author information
Author details
Funding
National Institute on Deafness and Other Communication Disorders (DC014423)
- Eric Block
- Hiroaki Matsunami
National Institute on Deafness and Other Communication Disorders (DC016224)
- Hiroaki Matsunami
National Science Foundation (1556207)
- Hiroaki Matsunami
The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
Acknowledgements
We thank lab members Claire A de March, Ha Na Choe, Conan Juan, Yen Dinh, Tatjanna Abaffy, and Maira Nagai for comments on the manuscript, Mengjue Jessica Ni for expert technical assistance, and Douglas Marchuk and Debra Silver for generous sharing of equipment.
Ethics
Animal experimentation: This study was performed in strict accordance with the recommendations in the Guide for the Care and Use of Laboratory Animals of the National Institutes of Health. All of the animals were handled according to approved institutional animal care and use committee (IACUC) protocol A128-19-06 at Duke University.
Copyright
© 2020, Vihani et al.
This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.
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