Abstract
Artificial light at night (ALAN) is increasingly recognized as a potential threat to wildlife and ecosystem health. Among the ecological effects of ALAN, changes in reproductive timing are frequently reported, but the mechanisms underlying this relationship are still poorly understood. Here, we experimentally investigated these mechanisms by assessing dose‐dependent photoperiodic responses to ALAN in the great tit (Parus major). We individually exposed photosensitive male birds to one of three nocturnal light levels (0.5, 1.5, and 5 lux), or to a dark control. Subsequent histological and molecular analyses on their testes indicated a dose‐dependent reproductive response to ALAN. Specifically, different stages of gonadal growth were activated after exposure to different levels of light at night. mRNA transcript levels of genes linked to the development of germ cells (stra8 and spo11) were increased under 0.5 lux compared to the dark control. The 0.5 and 1.5 lux groups showed slight increases in testis size and transcript levels associated with steroid synthesis (lhr and hsd3b1) and spermatogenesis (fshr, wt1, sox9, and cldn11), although spermatogenesis was not detected in histological analysis. In contrast, all birds under 5 lux had 10 to 30 times larger testes than birds in all other groups, with a parallel strong increase in mRNA transcript levels and clear signs of spermatogenesis. Across treatments, the volume of the testes was generally a good predictor of testicular transcript levels. Overall, our findings indicate that even small changes in nocturnal light intensity can increase, or decrease, effects on the reproductive physiology of wild organisms.
Keywords: ALAN, HPG axis, spermatogenesis, testis, timing of reproduction, urbanization
1. INTRODUCTION
Artificial light at night (ALAN) is one of the most evident anthropogenic modifications of the natural environment (Falchi et al., 2016; Kyba et al., 2017). As natural and rural lands are increasingly converted into urban areas globally, and in particular in developing countries, the proportion of the Earth exposed to ALAN is also increasing (Falchi et al., 2016; Gaston, Visser, & Hölker, 2015b; Kyba et al., 2017). This increase has been recently quantified as 6% per year worldwide (Falchi et al., 2016). The presence of light pollution alters natural regimes of light and darkness (Davies, Bennie, Inger, & Gaston, 2013), and this can have important consequences for human health and economy (Gaston, Gaston, Bennie, & Hopkins, 2014). The ecological consequences of ALAN were first recognized in the early 20th century (Rowan, 1937), but have only recently become an important focus of scientific research. ALAN is being increasingly associated with changes in behavior, physiology, and life histories of wild organisms, from plants to invertebrates, fishes, amphibians, reptiles, birds, and mammals (Bennie, Davies, Cruse, & Gaston, 2016; Bruening, Hölker, & Wolter, 2011; Da Silva, Valcu, & Kempenaers, 2015; Davies, Bennie, & Gaston, 2012; Jones, Durrant, Michaelides, & Green, 2015; Knop et al., 2017; Perry, Buchanan, & Fisher, 2008; Spoelstra et al., 2017).
The effects of ALAN on seasonal cycles, for instance reproduction, have been a key focus of light pollution research (Bruening, Hölker, Franke, Kleiner, & Kloas, 2016; Dominoni, 2015; Gaston, Davies, Nedelec, & Holt, 2017; Robert et al., 2015). For example, clear evidence for a direct effect of ALAN on reproduction comes from experimental studies on birds in controlled environments. European blackbirds (Turdus merula) exposed to 0.3 lux of ALAN began to grow their gonads 3 weeks earlier than conspecifics exposed to dark nights (Dominoni, Quetting, & Partecke, 2013a). Birds have also been the focus of experimental studies in the field, although these have not measured gonadal growth. For instance, great tits (Parus major) living in areas polluted with white LEDs laid their eggs 5 days earlier than in dark areas, although only in cold springs (de Jong et al., 2015). In addition, a correlational study has shown that female blue tits (Cyanistes careuleus) breeding in proximity of street lights laid their first egg 1.5 days earlier than females breeding in dark areas (Kempenaers, Borgström, Loës, Schlicht, & Valcu, 2010). Other field studies have focused on the phenology of dawn song and morning activity. These studies have shown that ALAN is associated with an advancement of dawn song earlier in the morning (with the exception of Da Silva et al., 2017), and also earlier in the season, an effect that is suggestive of an earlier propensity to breed (Da Silva et al., 2015; Dominoni & Partecke, 2015; Kempenaers et al., 2010; Miller, 2006; Nordt & Klenke, 2013). In contrast to advanced reproductive behaviors in birds, other taxa have been shown to delay reproduction in response to ALAN, presumably as a consequence of short‐day breeding. Examples include delayed average birth time of tammar wallabies (Macropus eugenii) (Robert, Lesku, Partecke, & Chambers, 2015) or completely inhibited reproductive physiology of adult perch (Perca fluviatilis) (Bruening et al., 2016). Similarly, in insects, ALAN has been shown to disrupt mating behavior and delay the time to pupation of moths (van Geffen, van Grunsven, van Ruijven, Berendse, & Veenendaal, 2014, 2015).
Effects of ALAN on reproduction are intuitive given that most organisms use photoperiod to time the development of their reproductive system in anticipation of the expected annual peak in resource availability (Bradshaw & Holzapfel, 2010; Helm et al., 2013). Use of reliable timing cues is particularly important for animals that substantially regrow their reproductive organs on an annual basis, such as birds, where the process of gonadal development requires several weeks to be completed. In temperate areas, for long‐day breeders, the increasing day length of late winter/early spring is the best proximate cue to start gonadal development in advance of breeding (Dawson, King, Bentley, & Ball, 2001). This is because day length, unlike temperature and food availability, shows little inter‐annual variation. Experimental exposure to long days causes birds to enter into reproductive state relatively quickly (Follett & Sharp, 1969; Follett, Mattocks, & Farner, 1974; Rowan, 1938; te Marvelde, Schaper, & Visser, 2012). However, other environmental factors, such as temperature and food availability, fine‐tune the final breeding decisions, in particular the timing of egg‐laying (Ball, 2012; Schoech & Hahn, 2007; Schaper et al., 2012b). Therefore, variation in timing of reproductive physiology does not necessarily predict variation in egg‐laying dates, but defines its scope (Schaper et al., 2012a; te Marvelde et al., 2012).
In birds, reproductive activation is mediated by the hypothalamus–pituitary–gonadal (HPG) axis via photo‐stimulation of deep‐brain photoreceptors. Increasing day lengths stimulate the secretion of gonadotropin‐release hormone (GnRH) in the hypothalamus (Nakane et al., 2010). GnRH then activates the pituitary gland that releases follicle‐stimulating hormone (FSH) and luteinizing hormone (LH) into the blood stream (Dawson, 2002; Sharp, 2005; Figure 1). LH and FSH bind to their specific receptors (lhr and fshr). In the males’ testes, they activate Leydig and Sertoli cells, respectively (Brown, Baylé, Scanes, & Follett, 1975). LH stimulates Leydig cells to produce androgens, mediated by enzymes, such as cyp11a1, cyp17a1, as well as several dehydrogenases (for instance hsd3b1, required for progesterone production, and hsd17b3, involved in the synthesis of testosterone) (Brown et al., 1975; Purcell and Wilson, 1975). Sertoli cells are somatic cells that are essential for the development of the testis and spermatogenesis (Figure 1; Thurston & Korn, 2000). They are located in the seminiferous tubules of the testis and promote spermatogenesis through formation of a blood‐testis barrier and through direct interactions with the developing germ cells. Sertoli cell activity depends on FSH stimulation and on androgens secreted by the Leydig cells (da Silva et al., 1996; Thurston & Korn, 2000). In the absence of hormone stimulation of the Sertoli cells, germ cell development does not progress beyond early meiosis (O'Shaughnessy, 2014).
During gonadal development in birds, transcript levels of glucocorticoid (nr3c1, also referred to as gr) and mineralocorticoid receptors (nr3c2, also referred to as mr) also increase (Fudickar et al., 2017; Kirby, Geraghty, Ubuka, Bentley, & Kaufer, 2009; Lattin et al., 2012; McGuire, Koh, & Bentley, 2013). This provides a mechanistic basis for the widespread links between adrenal steroids and timing of reproduction and reproductive investment reported in several bird species (Crespi, Williams, Jessop, & Delehanty, 2013; Deviche et al., 2010; Goutte et al., 2010a; Lattin, Breuner, & Michael Romero, 2016; McGuire et al., 2013; Schoech, Rensel, Bridge, Boughton, & Wilcoxen, 2009). Indeed, during stressful periods, sex steroid production and spermatogenesis can be suppressed via several routes, one of which is by increased glucocorticoid levels (Blas, 2015; Hazra et al., 2014; McGuire et al., 2013; Witorsch, 2016). Since ALAN has been linked to higher baseline corticosterone levels in birds (Ouyang et al., 2015), it could also influence reproductive activation, although it would be expected to slow, not accelerate, testicular development. Alternatively, upregulation of gonadal receptors for adrenal steroids could be a mechanism to enhance growth of the reproductive system, which is an energetically costly process requiring metabolic activation by adrenal steroids (Wingfield & Farner, 1993).
Despite the increasing interest in the effects of light pollution on reproduction of wild animals, we have still little understanding of the sensitivity of day length detection and of the ensuing sequence of reproductive activation events to ALAN. The aim of our study was thus to investigate the sensitivity of different stages of gonadal development to a realistic range of light intensities, derived from recordings from free‐living birds (Dominoni et al., 2013a). We tested for the existence of dose‐dependent, or alternatively, threshold responses, of the reproductive system to increasing levels of ALAN. As study subject we chose a songbird, the great tit, which was previously reported to show behavioral responses to similar levels of ALAN (de Jong et al., 2016a). We used a between‐animal design in which we exposed captive male great tits to three different nocturnal light treatments (0.5, 1.5, and 5 lux) or to dark nights in late winter. After 3 weeks of exposure, birds were sacrificed and their testes were collected. We recorded testicular sizes for comparison with laparotomy data measured in field and captivity studies of living birds (e.g., (Partecke, Van't Hof, & Gwinner, 2005)). These measures were complemented by morphological, histological, and molecular analyses. We assessed mRNA transcript levels in the testis for 10 candidate genes implicated in morphological development of the reproductive system, in synthesis of steroids and in promotion of spermatogenesis (Table 1). More specifically, these genes are involved in germ cell development (stra8 and spo11), Sertoli cell activation, and spermatogenesis (fshr, wt1, sox9, cldn11), Leydig cell activation and steroid synthesis (lhr and hsd3b1), and adrenal steroid function (gr and mr) (Table 1, Figure 1).
Table 1.
General function | Gene acronym | Specific function | References |
---|---|---|---|
Germ cells development | |||
stra8 | Regulation of meiotic initiation | (Krentz et al., 2011; Zhang et al., 2015) | |
spo11 | Involved in meiotic recombination | (Guioli et al., 2014; Oréal, Mazaud, Picard, Magre, & Carré‐Eusèbe, 2002) | |
Sertoli cells activity (spermatogenesis) | |||
fshr | Gonadotropin receptor, stimulates spermatogenesis | (Akazome, Abe, & Mori, 2002; Yamamura et al., 2000) | |
wt1 | Marker of Sertoli cells activity | (Kent, Coriat, Sharpe, Hastie, & van Heyningen, 1995; Oréal et al., 2002) | |
sox9 | Required for Sertoli cell differentiation and marker of adult Sertoli cell | (da Silva et al., 1996; Lee, Kim, Kim, Song, & Lim, 2007) | |
cldn11 | Involved in the formation of tight junctions (blood testis barrier) | (Gunzel & Yu, 2013) | |
Leydig cells activity (steroid synthesis) | |||
lhr | Leydig cell gonadotropin receptor, stimulates steroid synthesis | (Akazome et al., 2002; Yamamura et al., 2000) | |
hsd3b1 | Enzyme required for androgen synthesis | (Lee et al., 2007; London & Clayton, 2010) | |
Adrenal steroid receptors | |||
nr3c1 (gr) | Glucocorticoid receptor | (Landys, Piersma, Ramenofsky, & Wingfield, 2004; Liebl & Martin, 2013) | |
Stress and metabolism | nr3c2 (mr) | Mineralocorticoid receptor | (Landys et al., 2004; Liebl & Martin, 2013) |
Overall, we hypothesized that:
Increasing light intensity at night would lead to larger testicular volume and advanced morphological differentiation.
Changes in size and morphology would be paralleled by changes in transcript levels of functionally related genes. Higher light levels should progressively activate early stages of gonadal development, such as germ cells development (stra8 and spo11), activation of Sertoli (fshr, wt1, sox9, and cldn11) and Leydig cells (lhR and hsd3b1), and complete spermatogenesis. Whether or not a set of functionally related genes would show increased mRNA levels would depend on light intensity.
Since reproductive activation has been linked to an increased expression of adrenal steroid receptors, we also expect increased ALAN levels to be associated with increased adrenal steroid receptors. Alternatively, reproductive activation could be this association could be counteracted by elevated circulating CORT levels, which have been associated to ALAN.
Levels of mRNA transcripts encoding cell‐specific proteins would be related to testis size at the individual level.
2. MATERIALS AND METHODS
2.1. Animals and experimental setup
We conducted the experiment between February 1 and February 23, 2014. We used 34 adult male great tits that had been used in a previous experiment aimed at assessing the impact of different levels of light intensity at night on daily activity and physiology (de Jong et al., 2016a). All birds had been hand‐raised and housed at the Netherlands Institute of Ecology, Wageningen, The Netherlands, in individual cages (90 × 50 × 40 cm). All birds were between 1 and 4 years of age (hatched in 2012 or before), but mean age did not differ between treatment (P = 0.576). Temperature was maintained between 10 and 14°C, and did not vary structurally between day‐ and night‐time. Birds had access to food and water ad libitum.
During the ALAN experiment, birds were kept under fixed natural day‐length of 10 hr light and 14 hr darkness. Each cage had two separate light sources for day‐ and night‐time illumination. We used dividers between the cages, so that birds could only hear but not see each other, and light from one cage did not influence the light environment in adjacent cages because we had placed a wooden plate in the front of the cage. During the daytime, all birds were exposed to full spectrum daylight by high frequency fluorescent lights emitting ±1000 lux at perch level (Activa 172, Philips, Eindhoven, the Netherlands). During the night‐time, birds were assigned to different treatment groups that varied in the level of light intensity used (warm white LED light; Philips, Eindhoven, The Netherlands). The spectral composition of this light is shown in Supporting Information Figure S1 as part of the description of the preceding experiment mentioned in the Introduction (de Jong et al., 2016a). In this earlier experiment, the birds were exposed to five levels of ALAN (0.05, 0.15, 0.5, 1.5, and 5 lux) for 1 month between December 10, 2013 and January 10, 2014 and otherwise kept under dark nights. The experimental setup we used here differed in which we used four and not five experimental levels of ALAN, of which one was a dark control. The birds in the dark control were derived from the two earlier treatment groups with the lowest light intensity (0.05 and 0.15 lux, respectively), while birds in all other treatments were kept in the same treatment that they were exposed to in the previous experiment. Thus, from the start of our present experiment on February 1, 2014, the birds were exposed for the entire night to either one out of three nocturnal light intensities measured at perch level in the cages: 0.5 lux (n = 7), 1.5 lux (n = 7), or 5 lux (n = 7), or to dark control conditions (n = 13). For details on the spectral composition of lights, see the supplementary information of de Jong et al. (2016a).
The four treatment groups were assigned to one of seven blocks of cages arranged within two experimental rooms. Each block contained all treatment groups, distributed using a Latin Squares design. The birds were kept under these conditions for 3 weeks, and were then killed to collect tissues for morphological and molecular analyses. We sacrificed birds under isoflurane anesthesia (Forene, Abbott, Hoofddorp, the Netherlands) at midday (±2 hr) on February 22, 2014 or midnight (±2 hr) on both February 22 and 23, 2014. We used two sampling times to assess day–night differences in transcript levels for a separate study. Organs were extracted, snap‐frozen on dry ice, and stored at −80oC within 10 min of capture. Testes samples were then shipped to Glasgow, UK, in dry ice and stored at −80oC until further use. All experimental procedures were carried out under license NIOO 13.11 of the Animal Experimentation Committee (DEC) of the Royal Netherlands Academy of Arts and Sciences.
2.2. Morphological and histological analyses
On June 4, 2014, one frozen testis from each bird was placed into Neutral Buffered Formalin overnight to fix and preserve the tissue. Testes were weighed and their length and width measured before being placed into 70% ethanol. Testes were then embedded in wax, sectioned, and stained with hematoxylin and eosin for visualization of tissue structure. Tubule diameter and tubule area (where round tubular sections could be seen) were measured using ImageJ (NIH Image, https://imagej.net) and the development of spermatogenesis assessed.
We suspected that freezing might have caused the testes to change in size from the original, freshly measured state. We used measurements on fresh and frozen testes obtained from male great tits in another experiment to test this hypothesis (data are courtesy of Irene Verhagen). Testes length and width were highly correlated between fresh and frozen measurements (percentage change ± SD: width = 8.43 ± 9.84, length = 6.43 ± 11.13; P < 0.001; and r = 0.98 in both cases; N = 36; Supporting Information Figure S1).
2.3. Transcript analysis
The second testis was used for assessing mRNA transcript levels. Tissue was homogenized with a ribolyzer, and RNA extracted using 0.5 ml of Trizol (Thermofisher, UK) per sample. During the extraction, 5 ng of luciferase mRNA (Promega U.K., Southampton, UK) was added to each sample to serve as an external control (Rebourcet et al., 2014). Total RNA was reverse transcribed to generate cDNA using random hexamers and Moloney murine leukemia virus reverse transcriptase (Superscript III, Life Technologies) as described previously (O'Shaughnessy & Murphy, 1993).
Primers for the 10 candidate genes (Supporting Information Table S1) were designed using the great tit genome version 1.03 (Laine et al., 2016), and intron/exon boundaries were identified through BLAST against the zebra finch (Taeniopygia guttata) genome (Warren et al., 2010). Primers were designed using Primer ExpressTM 2.0.0 (Applied Biosystems) using parameters described previously (Czechowski, Bari, Stitt, Scheible, & Udvardi, 2004; O'Shaughnessy, Morris, & Baker, 2008). In order to avoid genomic DNA (gDNA) amplification, every primer pair was designed to span an intron of more than 1000 base pairs.
Real‐time PCR used the SYBR green method with a Stratagene MX3000 cycler 96‐well plates. Reactions contained 5 μl 2xSYBR mastermix (Agilent Technologies, Wokingham, UK), primers (100 nM), and template in a total volume of 10 μl. The thermal profile used for amplification was 95oC for 8 min followed by 40 cycles of 95oC for 25 s, 63oC for 25 s, and 72 oC for 30 s. At the end of the amplification phase, a melting curve analysis was carried out on the products formed. We ran one transcript on each plate. Each sample was run in duplicate, and in each plate, we also included duplicate negative control wells (with RNA instead of cDNA). None of the primer pairs amplified gDNA and the efficiency of the qPCR reactions was always between 95% and 103%. Levels of transcripts encoding genes of interest were quantified relative to the luciferase external standard (luciferase) using the ΔCt method levels (Baker & O'Shaughnessy, 2001).
2.4. Statistical analyses
We ran all analyses in the statistical environment R (R Development Core Team, 2015). All models were linear mixed effects (LMMs) with block nested into room as random effect, to account for possible effects of location of the cage, and a Gaussian error structure. Treatment (continuous variable with four levels: dark (0 lux), 0.5, 1.5, and 5 lux), time (factor with two levels: day and night), the interaction of treatment and time, and age were always included as explanatory variables in the initial maximal models, unless specified otherwise. In the preliminary models, we also always included the second order polynomial effect of treatment to test for potential quadratic effect of increasing light intensities. Model selection was done by backward stepwise deletion of nonsignificant terms. When treatment or time were found to be significant, post hoc tests were done by comparing estimated marginal means and confidence intervals (CI) of the estimates for each level, using the function emmeans in the R package emmeans ( https://cran.r-project.org/web/packages/emmeans/index.html ). Two levels were considered to be significantly different if the estimated marginal mean (Tukey's corrected) for one level was not included in the CI of another level. Assumptions for using linear models (normality and homogeneity of residuals) were met.
We first ran two separate LMMs to assess changes in morphology, with either testis volume or tubule diameter as response variables. In these models, we neither included time nor the interaction of time and treatment as explanatory variables, because we did not expect any change between day and night on the weekend that birds were sacrificed. We then ran four LMMs using grouped transcript levels as response variables. Genes were grouped based on their function as in Table 1, resulting in four groups: germ cells development (stra8 and spo11), Sertoli cells activity (fshr, wt1, sox9, and cldn11), Leydig cells activity (lhr and hsd3b1) and adrenal steroid receptors (gr and mr). In these models individual ID was nested into block nested into room as random effect to correct for multiple transcript measurements of individuals in each model. Transcript levels were standardized within each group by calculating Z‐scores. To do so, we first calculated the mean and standard deviation of the entire vector of transcript levels within a functional group. Then, each value was recalculated by subtracting the mean and then divided by the standard deviation. Finally, we took a closer look at transcript levels of individual target genes by running 10 additional LMMs with the 10 target genes as response variables, log‐transformed.
To test for a potential relationship between testes size and gene transcript levels, we selected a single trait for testes size as response variable. Since testis volume was highly correlated to tubule diameter (r = 0.95 and P < 0.001), we decided to select testis volume because it is commonly taken on live birds through laparotomy, therefore enabling comparison with other studies. We then ran independent LMMs for each gene where transcript levels were the response variable, and testis volume, treatment, the quadratic effect of treatment, age, mass, and the interaction between testis volume and treatment were modeled as the explanatory variables.
3. RESULTS
3.1. Morphology and histology
All our models showed a significant increase in testis volume and tubule diameter with increasing light intensity (P < 0.001 in both cases, Supporting Information Table S2). For testis volume, this relationship was quadratic, while for tubule diameter this was linear. Post hoc comparisons of estimated means and confidence intervals indicated that there was a slight, nonsignificant increase in testis volume between the dark group and the 0.5 lux group, and a much larger, highly significant increase between 0.5 and 1.5 lux and between 1.5 and 5 lux (Figure 2a, Supporting Information Table S2). Indeed, the testes of the 5 lux birds were six times larger than those of the birds in the 1.5 lux group (Figure 2a and Supporting Information Table S2). Tubule diameter was found to be significantly different between all treatment groups, with a particularly strong increase between 1.5 and 5 lux, although with a smaller effect size compared to the testis volume (Figures 2b and 3, Supporting Information Table S2). Spermatogenesis was detected in all 5 lux testes, but not in the testes of any other treatment group (Figure 3). Age was not a significant predictor of either testis volume (P = 0.79) or tubule diameter (0.94).
3.2. Gene expression
The analysis of functionally grouped transcripts revealed progressive activation on different stages of gonadal growth with increasing light intensity. Transcript levels of all functional groups analyzed were significantly increased by light exposure (P < 0.001 in all cases, Table 2). However, for the germ cell development group, we found significant differences between all levels of the variable treatment, whereas for all other functional groups we found significantly increased transcript levels only at 5 lux (Table 2). In addition, for the germ cell development and the corticoid receptor groups, transcript levels were significantly higher when birds were sacrificed during the day compared to when they were euthanized during the night (Table 2). However, for the corticoid receptors, the effect of time of sacrifice depended on the treatment level (treatment × time interaction, P < 0.001): daytime and night‐time transcript levels were similar in the dark control group and in the 0.5 lux group, while at 1.5 and 5 lux, daytime levels were significantly higher than night‐time ones (Table 2).
Table 2.
Main model | Post‐hoc test | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Germ cells development (stra8 and spo11) | Germ cells development (stra8 and spo11) | ||||||||||
Estimate | SEM | df | t | P‐value | Treatment | Estimate | SEM | Lower CI | Upper CI | Significance | |
Intercept | −0.37 | 0.13 | 30 | −2.86 | 0.008 | dark | −0.57 | 0.09 | −0.76 | ‐0.38 | a |
Treatment | 0.43 | 0.04 | 30 | 11.40 | <0.001 | 0.5 | −0.35 | 0.08 | −0.52 | −0.18 | b |
Time | −0.40 | 0.15 | 30 | −2.66 | 0.012 | 1.5 | 0.08 | 0.08 | −0.07 | 0.24 | c |
5 | 1.60 | 0.16 | 1.28 | 1.92 | d | ||||||
Sertoli cells activity (fshr, wt1, sox9, cldn11) | Sertoli cells activity (fshr, wt1, sox9, cldn11) | ||||||||||
Intercept | −0.29 | 0.10 | 130 | −2.89 | 0.004 | dark | −0.29 | 0.10 | −0.50 | −0.09 | a |
Treatment | 0.20 | 0.04 | 130 | 4.83 | <0.001 | 0.5 | −0.19 | 0.09 | −0.37 | −0.01 | a |
1.5 | 0.01 | 0.08 | −0.15 | 0.18 | b | ||||||
5 | 0.72 | 0.17 | 0.37 | 1.06 | c | ||||||
Leydig cells activity (lhr and hsd3b1) | Leydig cells activity (lhr and hsd3b1) | ||||||||||
Intercept | −0.93 | 0.20 | 30 | −4.73 | <0.001 | dark | −0.35 | 0.12 | −0.61 | −0.10 | a |
Treatment | 0.29 | 0.05 | 30 | 5.56 | <0.001 | 0.5 | −0.21 | 0.11 | −0.44 | 0.02 | a |
Age | 0.25 | 0.07 | 30 | 3.45 | 0.002 | 1.5 | 0.08 | 0.10 | −0.13 | 0.28 | b |
5 | 1.08 | 0.21 | 0.65 | 1.51 | c |
Corticoid receptors (gr and mr) | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Corticoid receptors (gr and mr) | Treatment | Time | Estimate | SEM | lower CI | upper CI | Significance | |||||
Intercept | −0.44 | 0.16 | 62 | −2.80 | 0.007 | dark | day | −0.44 | 0.16 | −0.76 | −0.12 | A |
Treatment | 0.59 | 0.07 | 62 | 8.06 | <0.001 | 0.5 | day | −0.14 | 0.14 | −0.43 | 0.14 | A |
Time | −0.09 | 0.20 | 62 | −0.45 | 0.654 | 1.5 | day | 0.45 | 0.13 | 0.17 | 0.72 | B |
Treatment × Time | −0.35 | 0.09 | 62 | −3.90 | <0.001 | 5 | day | 2.52 | 0.31 | 1.88 | 3.15 | C |
dark | night | −0.53 | 0.13 | −0.79 | −0.27 | a | ||||||
0.5 | night | −0.41 | 0.11 | −0.64 | −0.18 | a | ||||||
1.5 | night | −0.17 | 0.10 | −.37 | 0.04 | d | ||||||
5 | night | 0.69 | 0.20 | 0.28 | 1.09 | e |
The individual analyses of transcript levels of all genes revealed similar patterns to the functional groups analysis. Transcript levels were significantly increased by light exposure (P < 0.001 in all cases, Figure 4 and Supporting Information Table S3). For spo11, we detected significant changes over all light levels and both at day and at night, while this was not true for stra8, the other marker of germ cell development, for which we only found significant changes between 0.5–1.5 lux and 1.5–5 lux.
The general pattern for the other genes indicated that mRNA transcript levels were low and not different between the dark group and the 0.5 lux group. Then, transcript levels increased slightly but significantly between the 0.5 and the 1.5 lux group (except for hsd3b1), and finally peaked at 5 lux, with a minimum increase of 20% compared to the 1.5 lux treatment for all genes (Figure 4 and Supporting Information Table S3). The time at which the gonads were harvested had little effect on these transcript levels. The variable time was only found to be significant for stra8, spo11, and gr, which showed reduced transcript levels at night compared to daytime (Supporting Information Table S3), similarly to what we found in the functional group analysis. In addition, for five out of the 10 transcripts measured (gr, lhr, fshr, hsd3b1, and sox9), there was a positive, significant relationship between age of a bird and transcript levels (Supporting Information Table S3), with older birds showing higher gene expression.
In our separate analysis of testis size, we found highly significant, positive relationships between testis volume and transcript levels for all genes analyzed (Supporting Information Table S4 and Figure 5). However, the slope of these relationships was not different between treatments.
4. DISCUSSION
In this study, we show that all investigated intensities of ALAN affect the reproductive system of male great tits. Our lowest treatment level, an intensity of 0.5 lux, is comparable to measurements obtained from individual wild birds living in light‐polluted areas (de Jong, Ouyang, van Grunsven, Visser, & Spoelstra, 2016b; Dominoni et al., 2013a). It thus represents realistic levels that birds may encounter in the wild. In particular, we found evidence that different stages of gonadal growth are activated at different levels of light at night. Indeed, mRNA transcript levels of genes linked to the development of germ cells (stra8 and spo11) were already increased under 0.5 lux compared to the dark control group. Germ cell development depends on Sertoli cells activity, but we detected a significant change in the markers of Sertoli cells only under light levels higher than the 0.5 lux group. The explanation for this apparent contradiction might be partly biological and partly methodological. When Sertoli cells are first activated, their response is to induce the proliferation of germ cells. Such proliferation rapidly leads to a much higher number of germ cells, implying a very strong response of germ cell markers compared to those of Sertoli cells. Our method for measuring activation was probably more sensitive to the cumulative transcripts of an increasing numbers of germ cells, as compared to the more gradual activation of Sertoli cells.
mRNA transcript levels associated with markers of Leydig cell activity were found to be increased only under light levels equal to or higher than 1.5 lux. Indeed, we also found that testes of birds under 1.5 lux were larger than those of birds under 0.5 lux or under dark nights, confirming that a second stage of gonadal development that includes increase in size and the initiation of sperm and steroid production was initiated. However, we only found full spermatogenesis in the histological analyses of birds under 5 lux, which indicates that only birds in this treatment group had functional testes and were thus potentially ready to breed (Figure 6). These birds also showed a dramatic increase in testes size, as they had 10 to 30 times larger testes than birds kept at lower light intensities, as well as greatly increased mRNA levels of all transcripts analyzed (Figure 6). Therefore, while exposure to ALAN as low as 0.5 lux during our experiment already induced a photoperiodic response in great tits, only levels equal to 5 lux led to full spermatogenesis. However, despite the fact that birds in the 5 lux group had far larger testes than birds in any other treatment group and also showed full spermatogenesis, at the time of sampling, the birds were still far from having reached the average and maximum testis volume of this species (130 and 150 mm3, Figure 6 and Schaper et al., 2012a, b).
A gradual increase of effects with increasing levels of light at night for gonadal development parallels our findings for daily rhythms (de Jong et al., 2016a). When the same individual birds were exposed to similar levels of ALAN during the preceding experiment, activity patterns and nocturnal melatonin concentration were also affected in a dose‐dependent manner. The earlier study also reported slight but significant effects at lower light intensities, and more marked effects under 5 lux (de Jong et al., 2016a). In particular, the strong advancement of the morning onset of activity found under 5 lux in the previous study (figure 2a in de Jong et al., 2016a) is comparable to the strong increase in testes size and gene expression that we show here for the 5 lux group. Over the course of these two studies, the birds were exposed twice to their respective ALAN conditions, interrupted for 3 weeks by exposure to dark nights. It is therefore possible that the reproductive activation we measured had been primed before the start of our experiment (Sockman, Williams, Dawson, & Ball, 2004; te Marvelde et al., 2012). However, given the intermittent pausing of the ALAN treatments, we consider it likely that the main effects detected in our present study had developed during our 3‐week experiment in February. We also need to stress that our experimental findings are specific to the photosensitive phase of the annual cycle. It is currently unclear what effects temporary exposure to ALAN will have at other phases of the annual cycle. In a previous experiment, in which we exposed blackbirds to ALAN for an entire annual cycle, we found that ALAN advanced reproductive development, as in this study. Under continued exposure to ALAN, blackbirds regressed testes at similar times as dark‐night controls. However, under ALAN, birds did not recover photosensitivity and remained locked in the photorefractory phase until at least the following summer. Associated physiological processes, i.e., postbreeding moult, were also impaired by persistent exposure to ALAN (Dominoni, Quetting, & Partecke, 2013b).
A limitation of our sampling design is that we have obtained only a single‐point measurement during the gonadal growth of great tits. It is therefore impossible to obtain information about the growth curve of each individual's reproductive system, which would have been helpful to establish more precisely the shape of the dose‐dependent response of the reproductive system to ALAN. On the other hand, our terminal experiment allowed us to obtain tissue samples for histological and molecular analyses. Future studies should attempt to use more treatment groups and repeatedly measure gonadal size in the same individuals, to understand the exact shape of the dose‐response of reproductive growth to ALAN. In our experiment we found that testis volume was correlated at the individual level to mRNA transcript levels, suggesting that it is possible to infer from consecutive measures of testicular size of living birds the underlying molecular processes (Partecke et al., 2005).
Interestingly, the increase in testis volume due to ALAN was also strongly linked to increased mRNA levels of two adrenal steroid receptors, GR and MR. In birds, glucocorticoids have been suggested to mediate timing of reproduction via the regulation of steroid hormone synthesis (Crespi et al., 2013; Deviche et al., 2010; Goutte et al., 2010a, b; Kirby et al., 2009; McGuire et al., 2013; Schoech, Mumme, & Wingfield, 1997, 2009). Indeed, recent studies have shown that acute stressors and the resulting heightened circulating corticosterone levels are able to lower testosterone and estradiol release in Rufous‐winged sparrows (Peucaea carpalis) and European starlings (Sturnus vulgaris) (Deviche et al., 2010; McGuire et al., 2013). However, these manipulations did not result in changes in the gonadal expression of GnRH in the starling study (McGuire et al., 2013). Moreover, recent work in captive dark‐eyed juncos (Junco hyemalis thurberi) has also questioned the direct effect of glucocorticoids on gonadal processes (Fudickar et al., 2017). While we did not measure corticosterone, the ratio of MR/GR, which is often used to test for altered stability of the stress axis (Marasco, Herzyk, Robinson, & Spencer, 2016), did not vary between the four treatments (Supporting Information Figure S2a), and individual gr and mr transcript levels were highly correlated (Supporting Information Figure S2b). These data seem to indicate that the birds in our experiment were not stressed, and thus provide little support for a negative influence of ALAN on the HPA axis. Rather, they suggest that higher levels of adrenal steroid receptors are likely a by‐product of major metabolic changes accompanying, or even preparing for, important life‐history transitions, as shown for avian migration (Piersma, Reneerkens, & Ramenofsky, 2000) and for reproduction (this study).
One additional factor that affected mRNA levels was the age of birds. An advancement of reproductive activation with increasing age is common in birds and has also been linked to age‐related changes in photic sensitivity (Sockman et al., 2004). However, in our birds only mRNA levels of few genes were related to age, and both testis volume and tubule diameter were not. Thus, whether the effect of ALAN on reproductive development of wild birds might be age‐specific, and particularly affects older birds, remains to be established.
From previous work on avian species, exposure to ALAN is known to advance both the development of the reproductive system and egg‐laying (Dominoni, 2015). Indeed, in blackbirds, experimental exposure to 0.3 lux of ALAN for 8 weeks in captivity caused birds to develop fully functional testes (Dominoni et al., 2013a). Although exposure was longer and methods were not directly comparable to those in our study, it is possible that blackbirds are particularly sensitive to ALAN, matching reports of species‐specific differences (Da Silva, Samplonius, Schlicht, Valcu, & Kempenaers, 2014; Kempenaers et al., 2010). To explore possible differences in sensitivity to ALAN, future work could empirically compare the physiological responses of different avian species, both closely and distantly related, to increasing levels of light at night.
In an ecological context, it is still unclear whether earlier development of the reproductive system due to ALAN would lead to earlier breeding. In wild great tits, the advancement of lay date due to ALAN is limited to only a few days. Moreover, such an effect seems to be modulated by temperature, being stronger in cold and late springs compared to warmer ones (de Jong et al., 2015). This refines reported relationships between warmer temperatures in urban areas (the “heat island effect”) and avian reproductive timing (Deviche & Davies, 2014). In any case, in our experiment, temperature was kept equal across all treatments and rooms, thus the observed variation in reproductive timing is mostly attributable to the light treatments. However, although ALAN can be perceived as a long photoperiod (Dominoni & Partecke, 2015) and lead to earlier gonadal development, individual variation in reproductive physiology is not necessarily related to individual variation in egg‐laying dates. Indeed, recent experimental work in great tits has shown that although long photoperiods lead to increased secretion of reproductive hormones and larger gonads, this was unrelated to subsequent egg‐laying dates (Salis et al. in review; Schaper et al., 2012a; te Marvelde et al., 2012). To our knowledge, no study has attempted to simultaneously measure the timing of both gonadal growth and egg‐laying in response to ALAN, and this remains a considerable research gap. Further comparisons can be made also to studies performed in other taxa. Indeed, in a similar experiment with a freshwater fish species (European perch), Bruening and collaborators (Bruening et al., 2016) also showed intensity‐dependent effects of ALAN on the expression of gonadotropins (LH and FSH), although with two key differences compared to our study. First, they only found an effect in females but not males, and second, they found that gonadotropin expression decreased, rather than increased, with higher light intensity at night. This latter difference can be explained by the different reproductive strategies of the two species. Our work in great tits was conducted in late winter when great tits are photosensitive and may be expected to show reproductive activation under ALAN, as the presence of light at night may be interpreted as a stimulating photoperiod in long‐day avian breeders (Dominoni & Partecke, 2015; Dominoni et al., 2013a). Conversely, perch are short‐day breeders, which require shortening photoperiods to initiate reproductive activity (Migaud, Wang, Gardeur, & Fontaine, 2006, 2010). ALAN‐induced perceived long photoperiods are known to suppress gonadotropins in this species and other short‐day breeders (Bruening, Hölker, Franke, Preuer, & Kloas, 2015; Robert et al., 2015). Overall, the studies suggest that the photoperiodic response of birds and fish to ALAN is dose‐dependent. The presence of ALAN is globally increasing in both spatial extent and radiance, despite the recent switch to LED technology in developed countries (Falchi et al., 2016; Gaston, Duffy, & Bennie, 2015a; Kyba et al., 2017). This suggests that exposure to ALAN of wild animals is likely also increasing, and thus there is impellent need to understand what the ecological consequences of ALAN will be in the coming years (Davies & Smyth, 2018). Our study adds to the increasing evidence that the exposure to artificial light can affect the reproductive system of animals, and in particular of birds. Our study was aimed at understanding in detail the physiological pathways involved in the stimulation of the reproductive system by ALAN, as well as potential thresholds above which the reproductive response is triggered. It remains to be established whether not only seasonal processes, but also diel ones, can be profoundly affected at the tissue level by low levels of light at night (de Jong et al., 2016a). In our experiment, we also collected other tissue samples, such as brain, liver, and spleen, which are key regulators of daily rhythms in sleep, metabolism, and immunity, but these data will be published separately (Dominoni et al in prep). From this present work we conclude that even light levels as low as 0.5 lux can produce early gonadal activation, although only higher light intensities of at least 5 lux were able to strongly increase testes size and lead to full spermatogenesis within our experimental period. Wild birds are likely to be exposed to such levels in light polluted areas (de Jong et al., 2016b; Dominoni et al., 2013a, 2014). For some species exposure as in our captive experiment might not last for the entire night. However, others, in particular animals living in open areas, will be less able to “escape” light pollution, as shown in wallabies (Robert et al., 2015). Thus, we argue that ALAN should be limited to minimal levels wherever possible to avoid chronically high exposure for wildlife. However, to build a stronger case for the negative effects of light pollution on wildlife, and thus to support the implementation of novel policies aimed at limiting ALAN, future work should not only examine the behavioral and physiological effects of light pollution, but also clarify whether these come with health and fitness consequences (de Jong et al., 2015; Dominoni, Borniger, & Nelson, 2016; Kempenaers et al., 2010; McLay, Green, & Jones, 2017; Ouyang et al., 2017; Swaddle et al., 2015).
Supporting information
ACKNOWLEDGMENTS
We thank all animal caretakers, Lisa Trost and Pietro D'Amelio for their wonderful support during the experiment. We also thank Irene Verhagen for contributing data on testes shrinkage.
Dominoni DM, de Jong M, Bellingham M, et al. Dose‐response effects of light at night on the reproductive physiology of great tits (Parus major): Integrating morphological analyses with candidate gene expression. J Exp Zool. 2018;329:473–487. 10.1002/jez.2214
Funding information Funding of DMD and of gene analysis was provided by a Marie‐Curie Career Integration Grant to B.H. (EC CIG (618578) Wildclocks) and by the Wellcome Trust (097821/Z/11/Z).
REFERENCES
- Akazome, Y. , Abe, T. , & Mori, T. (2002). Differentiation of chicken gonad as an endocrine organ: Expression of LH receptor, FSH receptor, cytochrome P450c17 and aromatase genes. Reproduction (Bristol, United Kingdom), 123, 721–728. https://www.ncbi.nlm.nih.gov/pubmed/12006100 [PubMed] [Google Scholar]
- Baker, P. J. , & O'Shaughnessy, P. J. (2001). Expression of prostaglandin D synthetase during development in the mouse testis. Reproduction (Bristol, United Kingdom), 122, 553–559. https://www.ncbi.nlm.nih.gov/pubmed/11570962 [DOI] [PubMed] [Google Scholar]
- Ball, G. (2012). The neural integration of environmental information by seasonally breeding birds. American Zoologist, 33, 185–199. [Google Scholar]
- Bennie, J. , Davies, T. W. , Cruse, D. , & Gaston, K. J. (2016). Ecological effects of artificial light at night on wild plants. Journal of Ecology, 104, 611–620. [Google Scholar]
- Blas, J. (2015). Stress in birds In Scanes C. G. (Ed.), Sturkie's avian physiology (6th ed, pp. 769–810). San Diego, CA: Academic Press. [Google Scholar]
- Bradshaw, W. E. , & Holzapfel, C. M. (2010). Light, time, and the physiology of biotic response to rapid climate change in animals. Annual Review of Physiology, 72, 147–166. [DOI] [PubMed] [Google Scholar]
- Brown, N. L. , Baylé, J. D. , Scanes, C. G. , & Follett, B. K. (1975). Chicken gonadotrophins: Their effects on the testes of immature and hypophysectomized Japanese quail. Cell and Tissue Research, 156, 499–520. https://link.springer.com/10.1007/BF00225109 [DOI] [PubMed] [Google Scholar]
- Bruening, A. , Hölker, F. , Franke, S. , Kleiner, W. , & Kloas, W. (2016). Impact of different colours of artificial light at night on melatonin rhythm and gene expression of gonadotropins in European perch. Science of the Total Environment, 543, 214–222. 10.1016/j.scitotenv.2015.11.023 [DOI] [PubMed] [Google Scholar]
- Bruening, A. , Hölker, F. , Franke, S. , Preuer, T. , & Kloas, W. (2015). Spotlight on fish: Light pollution affects circadian rhythms of European perch but does not cause stress. Science of the Total Environment, 511, 516–522. https://linkinghub.elsevier.com/retrieve/pii/S0048969714018051 [DOI] [PubMed] [Google Scholar]
- Bruening, A. , Hölker, F. , & Wolter, C. (2011). Artificial light at night: Implications for early life stages development in four temperate freshwater fish species. Aquatic Sciences, 73, 143–152. https://link.springer.com/10.1007/s00027-010-0167-2 [Google Scholar]
- Crespi, E. J. , Williams, T. D. , Jessop, T. S. , & Delehanty, B. (2013). Life history and the ecology of stress: How do glucocorticoid hormones influence life‐history variation in animals? Functional Ecology, 27, 93–106. [Google Scholar]
- Czechowski, T. , Bari, R. P. , Stitt, M. , Scheible, W‐R. , & Udvardi, M. K. (2004). Real‐time RT‐PCR profiling of over 1400 Arabidopsis transcription factors: Unprecedented sensitivity reveals novel root‐ and shoot‐specific genes. Plant Journal, 38, 366–379. 10.1111/j.1365-313X.2004.02051.x [DOI] [PubMed] [Google Scholar]
- Davies, T. W. , Bennie, J. , & Gaston, K. J. (2012). Street lighting changes the composition of invertebrate communities. Biology Letters, 8, 764–767. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Davies, T. W. , Bennie, J. , Inger, R. , & Gaston, K. J. (2013). Artificial light alters natural regimes of night‐time sky brightness. Scientific Reports, 3, 1–6. https://www.nature.com/doifinder/10.1038/srep01722 [Google Scholar]
- Davies, T. W. , & Smyth, T. (2018). Why artificial light at night should be a focus for global change research in the 21st century. Global Change Biology, 24(3)872–882. 10.1111/gcb.13927 [DOI] [PubMed] [Google Scholar]
- Dawson, A. (2002). Photoperiodic control of the annual cycle in birds and comparison with mammals. Ardea, 90, 355–367. https://cat.inist.fr/?aModele=afficheN&cpsidt=14959380 [Google Scholar]
- Dawson, A. , King, V. M. , Bentley, G. E. , & Ball, G. F. (2001). Photoperiodic control of seasonality in birds. Journal of Biological Rhythms, 16, 365–380. https://www.ncbi.nlm.nih.gov/pubmed/11506381 [DOI] [PubMed] [Google Scholar]
- Deviche, P. J. , & Davies, S. (2014). Reproductive phenology of urban birds: Environmental cues and mechanisms In In Gil D. & Brumm H. (Eds.), Avian urban ecology: Behavioural and physiological adaptations (pp. 98–115). Oxford, England: Oxford University Press. [Google Scholar]
- Deviche, P. J. , Hurley, L. L. , Fokidis, H. B. , Lerbour, B. , Silverin, B. , Silverin, B. , … Sharp, P. J. (2010). Acute stress rapidly decreases plasma testosterone in a free‐ranging male songbird: Potential site of action and mechanism. General and Comparative Endocrinology, 169, 82–90. https://linkinghub.elsevier.com/retrieve/pii/S0016648010002571 [DOI] [PubMed] [Google Scholar]
- Dominoni, D. , Quetting, M. , & Partecke, J. (2013a). Artificial light at night advances avian reproductive physiology. Proceedings of the Royal Society B Biological Sciences, 280, 20123017 https://www.ncbi.nlm.nih.gov/pubmed/23407836 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Dominoni, D. M. (2015). The effects of light pollution on biological rhythms of birds: An integrated, mechanistic perspective. Journal of Ornithology, 156, 409–418. https://link.springer.com/10.1007/s10336-015-1196-3 [Google Scholar]
- Dominoni, D. M. , Borniger, J. C. , & Nelson, R. J. (2016). Light at night, clocks and health: From humans to wild organisms. Biology Letters, 12, 20160015 https://rsbl.royalsocietypublishing.org/lookup/doi/10.1098/rsbl.2016.0015 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Dominoni, D. M. , Carmona‐Wagner, E. O. , Hofmann, M. , Kranstauber, B. , & Partecke, J. (2014). Individual‐based measurements of light intensity provide new insights into the effects of artificial light at night on daily rhythms of urban‐dwelling songbirds. Journal of Animal Ecology, 83, 681–692. 10.1111/1365-2656.12150 [DOI] [PubMed] [Google Scholar]
- Dominoni, D. M. , & Partecke, J. (2015). Does light pollution alter daylength? A test using light loggers on free‐ranging European blackbirds (Turdus merula). Philosophical Transactions of the Royal Society B, 370, 20140118. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Dominoni, D. M. , Quetting, M. , & Partecke, J. (2013b). Long‐term effects of chronic light pollution on seasonal functions of European blackbirds (Turdus merula). PLoS One, 8, e85069 https://plos.org/10.1371/journal.pone.0085069 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Falchi, F. , Cinzano, P. , Duriscoe, D. , Kyba, C. C. M. , Elvidge, C. D. , Baugh, K. , … Furgoni, R. (2016). The new world atlas of artificial night sky brightness. Science Advances, 2, e1600377 https://advances.sciencemag.org/content/2/6/e1600377.short [DOI] [PMC free article] [PubMed] [Google Scholar]
- Follett, B. K. , Mattocks, P. W. , & Farner, D. S. (1974). Circadian function in the photoperiodic induction of gonadotropin secretion in the white‐crowned sparrow, Zonotrichia leucophrys gambelii . Proceedings of the National Academy of Sciences of the United States of America, 71, 1666–1669. https://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=388298&tool=pmcentrez&rendertype=abstract [DOI] [PMC free article] [PubMed] [Google Scholar]
- Follett, B. K. , & Sharp, P. J. (1969). Circadian rhythmicity in photoperiodically induced gonadotrophin release and gonadal growth in the quail. Nature (London, United Kingdom), 223, 968–971. [DOI] [PubMed] [Google Scholar]
- Fudickar, A. M. , Greives, T. J. , Abolins‐Abols, M. , Atwell, J. W. , Meddle, S. L. , Friis, G. , … Ketterson, E. D. (2017). Mechanisms associated with an advance in the timing of seasonal reproduction in an urban songbird. Frontiers in Ecology and Evolution, 5, 1–13. https://journal.frontiersin.org/article/10.3389/fevo.2017.00085/full [Google Scholar]
- Gaston, K. J. , Davies, T. W. , Nedelec, S. L. , & Holt, L. A. (2017). Impacts of artificial light at night on biological timings. Annual Reviews of Ecology, Evolution, and Systematics, 48, 49–68. https://www.annualreviews.org/doi/10.1146/annurev-ecolsys-110316-022745 [Google Scholar]
- Gaston, K. J. , Duffy, J. P. , & Bennie, J. (2015a). Quantifying the erosion of natural darkness in the global protected area system. Conservation Biology, 29, 1132–1141. https://www.ncbi.nlm.nih.gov/pubmed/25693660 [DOI] [PubMed] [Google Scholar]
- Gaston, K. J. , Gaston, S. , Bennie, J. , & Hopkins, J. (2014). Benefits and costs of artificial nighttime lighting of the environment. Environmental Reviews, 10, 1–10. https://www.nrcresearchpress.com/doi/abs/10.1139/er-2014-0041 [Google Scholar]
- Gaston, K. J. , Visser, M. E. , & Hölker, F. (2015b). The biological impacts of artificial light at night: The research challenge. Philosophical Transactions of the Royal Society of London B, 370, 20140133. [DOI] [PMC free article] [PubMed] [Google Scholar]
- van Geffen, K. G. , van Eck, E. , de Boer, R. A. , van Grunsven, R. H. A. , Salis, L. , Berendse, F. , & Veenendaal, E. M. (2015). Artificial light at night inhibits mating in a Geometrid moth. Insect Conservation and Diversity, 8, 282–287. 10.1111/icad.12116 [DOI] [Google Scholar]
- van Geffen, K. G. , van Grunsven, R. H. A. , van Ruijven, J. , Berendse, F. , & Veenendaal, E. M. (2014). Artificial light at night causes diapause inhibition and sex‐specific life history changes in a moth. Ecology and Evolution, 4, 2082–2089. 10.1002/ece3.1090%5Cnhttps://doi.wiley.com/10.1002/ece3.1090 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Goutte, A. , Angelier, F. , Chastel, C. C. , Trouvé, C. , Moe, B. , Bech, C. , … Chastel, O. (2010a). Stress and the timing of breeding: Glucocorticoid‐luteinizing hormones relationships in an arctic seabird. General and Comparative Endocrinology, 169, 108–116. https://www.ncbi.nlm.nih.gov/pubmed/20688061 [DOI] [PubMed] [Google Scholar]
- Goutte, A. , É, Antoine , Weimerskirch, H. , & Chastel, O. (2010b). Age and the timing of breeding in a long‐lived bird: A role for stress hormones? Functional Ecology, 24, 1007–1016. 10.1111/j.1365-2435.2010.01712.x [DOI] [Google Scholar]
- Guioli, S. , Nandi, S. , Zhao, D. , Burgess‐Shannon, J. , Lovell‐Badge, R. , & Clinton, M. (2014). Gonadal asymmetry and sex determination in birds. Sex Development, 8, 227–242. https://www.ncbi.nlm.nih.gov/pubmed/24577119 [DOI] [PubMed] [Google Scholar]
- Gunzel, D. , & Yu, A. S. L. (2013). Claudins and the modulation of tight junction permeability. Physiological Reviews, 93, 525–569. https://physrev.physiology.org/cgi/doi/10.1152/physrev.00019.2012 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hazra, R. , Upton, D. , Jimenez, M. , Desai, R. , Handelsman, D. J. , & Allan, C. M. (2014). In vivo actions of the sertoli cell glucocorticoid receptor. Endocrinology, 155, 1120–1130. https://academic.oup.com/endo/article-lookup/doi/10.1210/en.2013-1940 [DOI] [PubMed] [Google Scholar]
- Helm, B. , Ben‐Shlomo, R. , Sheriff, M. J. , Hut, R. A. , Foster, R. , Barnes, B. M. , & Dominoni, D. M. (2013). Annual rhythms that underlie phenology: Biological time‐keeping meets environmental change. Proceedings of the Royal Society of London B Biological Sciences, 280, 20130016 https://www.ncbi.nlm.nih.gov/pubmed/23825201 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Jones, T. M. , Durrant, J. , Michaelides, E. B. , & Green, M. P. (2015). Melatonin: A possible link between the presence of artificial light at night and reductions in biological fitness. Philosophical Transactions of the Royal Society B Biological Sciences, 370, 20140122 https://www.ncbi.nlm.nih.gov/pubmed/25780235 [DOI] [PMC free article] [PubMed] [Google Scholar]
- de Jong, M. , Jeninga, L. , Ouyang, J. Q. , van Oers, K. , Spoelstra, K. , & Visser, M. E. (2016a). Dose‐dependent responses of avian daily rhythms to artificial light at night. Physiology & Behavior, 155, 172–179. 10.1016/j.physbeh.2015.12.012 [DOI] [PubMed] [Google Scholar]
- de Jong, M. , Ouyang, J. Q. , van Grunsven, R. H. A. , Visser, M. E. , & Spoelstra, K. (2016b). Do wild great tits avoid exposure to light at night? PLoS One, 11, e0157357 https://plos.org/10.1371/journal.pone.0157357 [DOI] [PMC free article] [PubMed] [Google Scholar]
- de Jong, M. , Ouyang, J. Q. , Da Silva, A. , Van Grunsven, R. H. A. , Kempenaers, B. , Visser, M. E. , & Spoelstra, K. (2015). Effects of nocturnal illumination on life‐history decisions and fitness in two wild songbird species. Philosophical Transactions of the Royal Society of London B Biological Sciences, 370, 1–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kempenaers, B. , Borgström, P. , Loës, P. , Schlicht, E. , & Valcu, M. (2010). Artificial night lighting affects dawn song, extra‐pair siring success, and lay date in songbirds. Current Biology, 20, 1735–1739. [DOI] [PubMed] [Google Scholar]
- Kent, J. , Coriat, A. M. , Sharpe, P. T. , Hastie, N. D. , & van Heyningen, V. (1995). The evolution of WT1 sequence and expression pattern in the vertebrates. Oncogene, 11, 1781–1792. https://www.ncbi.nlm.nih.gov/pubmed/7478606 [PubMed] [Google Scholar]
- Kirby, E. D. , Geraghty, A. C. , Ubuka, T. , Bentley, G. E. , & Kaufer, D. (2009). Stress increases putative gonadotropin inhibitory hormone and decreases luteinizing hormone in male rats. Proceedings of the National Academy of Sciences of the United States of America, 106, 11324–11329. https://www.pnas.org/content/106/27/11324.full [DOI] [PMC free article] [PubMed] [Google Scholar]
- Knop, E. , Zoller, L. , Ryser, R. , Gerpe, C. , Hörler, M. , & Fontaine, C. (2017). Artificial light at night as a new threat to pollination. Nature (London, United Kingdom), 548, 206–209. https://www.nature.com/doifinder/10.1038/nature23288 [DOI] [PubMed] [Google Scholar]
- Krentz, A. D. , Murphy, M. W. , Sarver, A. L. , Griswold, M. D. , Bardwell, V. J. , & Zarkower, D. (2011). DMRT1 promotes oogenesis by transcriptional activation of Stra8 in the mammalian fetal ovary. Developmental Biology (Amsterdam, Netherlands), 356, 63–70. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kyba, C. C. M. , Kuester, T. , Sánchez de Miguel, A. , Baugh, K. , Jechow, A. , Hölker, F. , … Guanter, L. (2017). Artificially lit surface of Earth at night increasing in radiance and extent. Science Advances, 3, e1701528 https://advances.sciencemag.org/lookup/doi/10.1126/sciadv.1701528 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Laine, V. N. , Gossmann, T. I. , Schachtschneider, K. M. , Garroway, C. J. , Madsen, O. , Verhoeven, K. J. , … Groenen, M. A. (2016). Evolutionary signals of selection on cognition from the great tit genome and methylome. Nature Communications, 7, 10474. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Landys, M. M. , Piersma, T. , Ramenofsky, M. , & Wingfield, J. C. (2004). Role of the low‐affinity glucocorticoid receptor in the regulation of behavior and energy metabolism in the migratory red knot Calidris canutus islandica . Physiological and Biochemical Zoology, 77, 658–668. https://www.ncbi.nlm.nih.gov/pubmed/15449237 [DOI] [PubMed] [Google Scholar]
- Lattin, C. R. , Breuner, C. W. , & Michael Romero, L. (2016). Does corticosterone regulate the onset of breeding in free‐living birds? The CORT‐flexibility hypothesis and six potential mechanisms for priming corticosteroid function. Hormones and Behaviour, 78, 107–120. 10.1016/j.yhbeh.2015.10.020 [DOI] [PubMed] [Google Scholar]
- Lattin, C. R. , Waldron‐Francis, K. , Richardson, J. W. , de Bruijn, R. , Bauer, C. M. , Breuner, C. W. , & Michael Romero, L. (2012). Pharmacological characterization of intracellular glucocorticoid receptors in nine tissues from house sparrow (Passer domesticus). General and Comparative Endocrinology, 179, 214–220. https://www.sciencedirect.com/science/article/pii/S0016648012003243 [DOI] [PubMed] [Google Scholar]
- Lee, J‐Y. , Kim, H‐B. , Kim, D‐K. , Song, K‐D. , Lim, J. ‐M. , & Han, J. ‐Y. (2007). Screening of chicken genes related to germ cell development. Journal of Animal Science and Technology, 49, 183–194. https://koreascience.or.kr/journal/view.jsp?kj=DMJGDA&py=2007&vnc=v49n2&sp=183 [Google Scholar]
- Liebl, A. , & Martin, L. (2013). Stress hormone receptors change as range expansion progresses in house sparrows. Biology Letters, 9, 20130181 https://rsbl.royalsocietypublishing.org/content/9/3/20130181.short [DOI] [PMC free article] [PubMed] [Google Scholar]
- London, S. E. , & Clayton, D. F. (2010). Genomic and neural analysis of the estradiol‐synthetic pathway in the zebra finch. BMC Neurosciences, 11, 46 https://bmcneurosci.biomedcentral.com/articles/10.1186/1471-2202-11-46 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Marasco, V. , Herzyk, P. , Robinson, J. , & Spencer, K. A. (2016). Pre‐ and post‐natal stress programming: Developmental exposure to glucocorticoids causes long‐term brain‐region specific changes to transcriptome in the precocial Japanese quail. Journal of Neuroendocrinology, 28, 10.1111/jne.12387 [DOI] [PMC free article] [PubMed] [Google Scholar]
- te Marvelde, L. , Schaper S. V., & Visser, M. E. (2012). A single long day triggers follicle growth in captive female great tits (Parus major) in winter but does not affect laying dates in the wild in spring. PLoS One, 7, e35617 https://plos.org/10.1371/journal.pone.0035617 [DOI] [PMC free article] [PubMed] [Google Scholar]
- McGuire, N. L. , Koh, A. , & Bentley, G. E. (2013). The direct response of the gonads to cues of stress in a temperate songbird species is season‐dependent. PeerJ, 1, e139 https://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=3746958&tool=pmcentrez&rendertype=abstract [DOI] [PMC free article] [PubMed] [Google Scholar]
- McLay, L. K. , Green, M. P. , & Jones, T. M. (2017). Chronic exposure to dim artificial light at night decreases fecundity and adult survival in Drosophila melanogaster. Journal of Insect Physiology, 100, 15–20. https://www.sciencedirect.com/science/article/pii/S0022191017300379 [DOI] [PubMed] [Google Scholar]
- Migaud, H. , Davie, A. , & Taylor, J. F. (2010). Current knowledge on the photoneuroendocrine regulation of reproduction in temperate fish species. Journal of Fish Biology, 76, 27–68. 10.1111/j.1095-8649.2009.02500.x [DOI] [PubMed] [Google Scholar]
- Migaud, H. , Wang, N. , Gardeur, J‐N. , & Fontaine, P. (2006). Influence of photoperiod on reproductive performances in Eurasian perch Perca fluviatilis . Aquaculture, 252, 385–393. https://linkinghub.elsevier.com/retrieve/pii/S0044848605005144 [Google Scholar]
- Miller, M. W. (2006). Apparent effects of light pollution on singing behavior of American robins. Condor, 108, 130–139. https://www.jstor.org/stable/4123202%5Cnhttps://www.jstor.org/stable/pdfplus/4123202.pdf?acceptTC=true [Google Scholar]
- Nakane, Y. , Ikegami, K. , Ono, H. , Yamamoto, N. , Yoshida, S. , Hirunagi, K. , … Yoshimura, T. (2010). A mammalian neural tissue opsin (Opsin 5) is a deep brain photoreceptor in birds. Proceedings of the National Academy of Sciences of the United States of America, 107, 15264–15268. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Nordt, A. , & Klenke, R. (2013). Sleepless in town—Drivers of the temporal shift in dawn song in urban European blackbirds. PLoS One, 8, 1–10. [DOI] [PMC free article] [PubMed] [Google Scholar]
- O'Shaughnessy, P. J. (2014). Hormonal control of germ cell development and spermatogenesis. Seminars in Cell and Developmental Biology, 29, 55–65. https://www.sciencedirect.com/science/article/pii/S1084952114000226 [DOI] [PubMed] [Google Scholar]
- O'Shaughnessy, P. J. , Morris, I. D. , & Baker, P. J. (2008). Leydig cell re‐generation and expression of cell signaling molecules in the germ cell‐free testis. Reproduction (Bristol, United Kingdom), 135, 851–858. https://www.ncbi.nlm.nih.gov/pubmed/18502897 [DOI] [PubMed] [Google Scholar]
- O'Shaughnessy, P. J. , & Murphy, L. (1993). Cytochrome‐P‐450 17‐alpha‐hydroxylase protein and messenger RNA in the testis of the testicular feminized (Tfm) mouse. Journal of Molecular Endocrinology, 11, 77–82. https://www.ncbi.nlm.nih.gov/pubmed/8240674 [DOI] [PubMed] [Google Scholar]
- Oréal, E. , Mazaud, S. , Picard, J‐Y. , Magre, S. , & Carré‐Eusèbe, D. (2002). Different patterns of anti‐Müllerian hormone expression, as related to DMRT1, SF‐1, WT1, GATA‐4, Wnt‐4, and Lhx9 expression, in the chick differentiating gonads. Developmental Dynamics, 225, 221–232. 10.1002/dvdy.10153 [DOI] [PubMed] [Google Scholar]
- Ouyang, J. Q. , de Jong, M. , van Grunsven, R. H. A. , Matson, K. D. , Haussmann, M. F. , Meerlo, P. , … Spoelstra, K. (2017). Restless roosts: Light pollution affects behavior, sleep and physiology in a free‐living songbird. Global Change Biology, 23(11), 4987–4994. [DOI] [PubMed] [Google Scholar]
- Ouyang, J. Q. , de Jong, M. , Hau, M. , Visser, M. E. , van Grunsven, R. H. A. , Spoelstra, K. , … Morris, T. (2015). Stressful colours: Corticosterone concentrations in a free‐living songbird vary with the spectral composition of experimental illumination. Biology Letters, 11, 13–20. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Partecke, J. , Van't Hof, T. J. , & Gwinner, E. (2005). Underlying physiological control of reproduction in urban and forest‐dwelling European blackbirds Turdus merula . Journal of Avian Biology, 36, 295–305. 10.1111/j.0908-8857.2005.03344.x [DOI] [Google Scholar]
- Perry, G. , Buchanan, B. , & Fisher, R. (2008). Effects of artificial night lighting on amphibians and reptiles in urban environments. Urban Herpetology, 239–256. https://www.rw.ttu.edu/perry/Reprints/08 lights chapter.pdf [Google Scholar]
- Piersma, T. , Reneerkens, J. , & Ramenofsky, M. (2000). Baseline corticosterone peaks in shorebirds with maximal energy stores for migration: A general preparatory mechanism for rapid behavioral and metabolic transitions? General and Comparative Endocrinology, 120, 118–126. https://www.sciencedirect.com/science/article/pii/S0016648000975439 [DOI] [PubMed] [Google Scholar]
- Purcell, S. M. , & Wilson, W. O. (1975). Growth and maturation of testes in young coturnix and modification by exogenous FSH, LH, and testosterone—A stereologic evaluation. Poultry Science, 54, 1115–1122. https://academic.oup.com/ps/article-lookup/doi/10.3382/ps.0541115 [DOI] [PubMed] [Google Scholar]
- R Development Core Team . (2015). R: A language and environment for statistical computing. Vienna, Austria: R Foundation; Retrieved from http//www.R-project.org [Google Scholar]
- Rebourcet, D. , O'Shaughnessy, P. J. , Monteiro, A. , Milne, L. , Cruickshanks, L. , Jeffrey, N. , … Smith, L. B. (2014). Sertoli cells maintain leydig cell number and peritubular myoid cell activity in the adult mouse testis. PLoS One, 9, e105687 https://plos.org/10.1371/journal.pone.0105687 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Robert, K. A. , Lesku, J. A. , Partecke, J. , & Chambers, B. (2015). Artificial light at night desynchronizes strictly seasonal reproduction in a wild mammal. Proceedings of the Royal Society B, 282, 20151745 https://rspb.royalsocietypublishing.org/content/282/1816/20151745.abstract [DOI] [PMC free article] [PubMed] [Google Scholar]
- Rowan, W. (1937). Effects of traffic disturbance and night illumination on London starlings. Nature (London, United Kingdom), 139, 668–669. https://www.nature.com/nature/journal/v139/n3520/abs/139668a0.html [Google Scholar]
- Rowan, W. (1938). Light and seasonal reproduction in animals. Biological Reviews, 13(4), 374–401. https://onlinelibrary.wiley.com/doi/10.1111/j.1469-185X.1938.tb00523.x/abstract [Google Scholar]
- Schaper S. V., Dawson, A. , Sharp, P. J. , Caro, S. P. , & Visser, M. E. (2012a). Individual variation in avian reproductive physiology does not reliably predict variation in laying date. General and Comparative Endocrinology, 179, 53–62. 10.1016/j.ygcen.2012.07.021 [DOI] [PubMed] [Google Scholar]
- Schaper S. V., Dawson, A. , Sharp, P. J. , Gienapp, P. , Caro, S. P. , & Visser, M. E. (2012b). Increasing temperature, not mean temperature, is a cue for avian timing of reproduction. American Naturalist, 179, E55–E69. https://www.jstor.org/stable/info/10.1086/663675 [DOI] [PubMed] [Google Scholar]
- Schoech, S. J. , & Hahn, T. P. (2007). Food supplementation and timing of reproduction: Does the responsiveness to supplementary information vary with latitude? Journal of Ornithology, 148, 625–632. https://link.springer.com/10.1007/s10336-007-0177-6 [Google Scholar]
- Schoech, S. J. , Mumme, R. L. , & Wingfield, J. C. (1997). Corticosterone, reproductive status, and body mass in a cooperative breeder, the Florida scrub‐jay (Aphelocoma coerulescens). Physiological Zoology, 70, 68–73. https://www.ncbi.nlm.nih.gov/pubmed/9231378 [DOI] [PubMed] [Google Scholar]
- Schoech, S. J. , Rensel, M. A. , Bridge, E. S. , Boughton, R. K. , & Wilcoxen, T. E. (2009). Environment, glucocorticoids, and the timing of reproduction. General and Comparative Endocrinology, 163, 201–207. https://linkinghub.elsevier.com/retrieve/pii/S0016648008003596 [DOI] [PubMed] [Google Scholar]
- Sharp, P. J. (2005). Photoperiodic regulation of seasonal breeding in birds. Annals of the New York Academy of Sciences, 1040, 189–199. [DOI] [PubMed] [Google Scholar]
- Da Silva, A. , de Jong, M. , van Grunsven, R. H. A. , Visser, M. E. , Kempenaers, B. , & Spoelstra, K. (2017). Experimental illumination of a forest: No effects of lights of different colours on the onset of the dawn chorus in songbirds. R. Soc. Open Sci., 4, 160638. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Da Silva, A. , Samplonius, J. M. , Schlicht, E. , Valcu, M. , & Kempenaers, B. (2014). Artificial night lighting rather than traffic noise affects the daily timing of dawn and dusk singing in common European songbirds. Behavioural Ecology, 25, 1037–1047. https://www.beheco.oxfordjournals.org/cgi/doi/10.1093/beheco/aru103 [Google Scholar]
- Da Silva, A. , Valcu, M. , & Kempenaers, B. (2015). Light pollution alters the phenology of dawn and dusk singing in common European songbirds. Philosophical Transactions of the Royal Society of London B Biological Sciences, 370, 1–9. https://rstb.royalsocietypublishing.org/content/370/1667/20140126.short [DOI] [PMC free article] [PubMed] [Google Scholar]
- da Silva, S. M. , Hacker, A. , Harley, V. , Goodfellow, P. , Swain, A. , & Lovell‐Badge, R. (1996). Sox9 expression during gonadal development implies a conserved role for the gene in testis differentiation in mammals and birds. Nature Genetics, 14, 62–68. https://www.nature.com/doifinder/10.1038/ng0996-62 [DOI] [PubMed] [Google Scholar]
- Sockman, K. W. , Williams, T. D. , Dawson, A. , & Ball, G. F. (2004). Prior experience with photostimulation enhances photo‐induced reproductive development in female European starlings: A possible basis for the age‐related increase in avian reproductive performance. Biology of Reproduction, 71, 979–986. https://academic.oup.com/biolreprod/article-lookup/doi/10.1095/biolreprod.104.029751 [DOI] [PubMed] [Google Scholar]
- Spoelstra, K. , van Grunsven, R. H. A. , Ramakers, J. J. C. , Ferguson, K. B. , Raap, T. , Donners, M. , … Visser, M. E. (2017). Response of bats to light with different spectra: Light‐shy and agile bat presence is affected by white and green, but not red light. Proceedings of the Royal Society of London B Biological Sciences, 284, 11–15. https://www.ncbi.nlm.nih.gov/pubmed/28566484 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Swaddle, J. P. , Francis, C. D. , Barber, J. R. , Cooper, C. B. , Kyba, C. C. M. , Dominoni, D. M. , … Longcore, T. (2015). A framework to assess evolutionary responses to anthropogenic light and sound. Trends in Ecology and Evolution, 30, 550–560. https://linkinghub.elsevier.com/retrieve/pii/S0169534715001603 [DOI] [PubMed] [Google Scholar]
- Thurston, R. J. , & Korn, N. (2000). Spermiogenesis in commercial poultry species: Anatomy and control. Poultry Science, 79, 1650–1668. https://academic.oup.com/ps/article-lookup/doi/10.1093/ps/79.11.1650 [DOI] [PubMed] [Google Scholar]
- Warren, W. C. , Clayton, D. F. , Ellegren, H. , Arnold, A. P. , Hillier, L. W. , Künstner, A. , … Wilson RK (2010). The genome of a songbird. Nature (London, United Kingdom), 464, 757–762. https://www.ncbi.nlm.nih.gov/pubmed/20360741 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wingfield, J. C. , & Farner, D. S. (1993). Endocrinology of reproduction in wild species In In Farner D. S., King J., & Parkes K. (Eds.), Avian biology (Vol. 9, pp. 327). New York, NY: Academic Press. [Google Scholar]
- Witorsch, R. J. (2016). Effects of elevated glucocorticoids on reproduction and development: Relevance to endocrine disruptor screening. Critical Reviews in Toxicology, 46, 420–436. https://www.tandfonline.com/doi/abs/10.3109/10408444.2016.1140718 [DOI] [PubMed] [Google Scholar]
- Yamamura, N. , Takeishi, M. , Goto, N. , Tagami, M. , Mizutani, T. , Miyamoto, K. , … Kamiyoshi, M. (2000). Expression of messenger RNAs of luteinizing hormone and follicle‐stimulating hormone receptors in the granulosa layer during the ovulatory cycle of the hen. British Poultry Science, 41, 71–72. https://www.tandfonline.com/doi/abs/10.1080/00071660050149047 [Google Scholar]
- Zhang, Y. , Zuo, Q. , Liu, Z. , Li, D. , Tang, B. , Xiao, T. , … Li, B. (2015). The induction effect of Am80 and TSA on ESC differentiation via regulation of Stra8 in chicken. PLoS One, 10, e0140262 https://plos.org/10.1371/journal.pone.0140262 [DOI] [PMC free article] [PubMed] [Google Scholar]
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