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. 2025 May 29;13:RP100996. doi: 10.7554/eLife.100996

AgRP1 modulates breeding season-dependent feeding behavior in female medaka

Yurika Tagui 1, Shingo Takeda 1, Hiroyo Waida 1, Shoichi Kitahara 1, Tomoki Kimura 2, Shinji Kanda 3, Yoshitaka Oka 1, Yu Hayashi 1, Chie Umatani 1,4,
Editors: Kristin Tessmar-Raible5, Kate M Wassum6
PMCID: PMC12122003  PMID: 40439220

Abstract

Feeding and reproduction are known to be closely correlated with each other, and the seasonal breeders show breeding season-dependent feeding behavior. However, most model animals do not have definite breeding seasonality, and the mechanisms for such feeding behavior remain unclear. Here, we focused on female medaka (Oryzias latipes); they show breeding season-dependent feeding behavior, and their condition of breeding season can be experimentally controlled by day-length. We first demonstrated that, among previously reported feeding-related peptides (neuropeptides involved in feeding), agouti-related peptide 1 (agrp1) and neuropeptide y b (npyb) show higher brain expression under the breeding condition than under the non-breeding one. Combined with analysis of agrp1 knockout medaka, we obtained results to suggest that long day-induced sexually mature condition, especially ovarian estrogenic signals, increase the expressions of agrp1 in the brain, which results in increased food intake to promote reproduction. Our findings advance the understanding of neural mechanisms of feeding behavior for reproductive success.

Research organism: Other

Introduction

Feeding behavior is essential to animals for their survival and reproduction and is known to be modulated by various internal and external factors: nutritional status, sexual maturity, temperature, seasonality, etc. This behavior is known to be closely correlated with reproduction (Kauffman and Rissman, 2004), which is an essential biological activity important for the animal life. Previous studies reported that nutritional-state modulates reproductive behaviors and functions (Chen et al., 2006; Amirjani et al., 2019; Volk et al., 2017; Lynn et al., 2010). For example, musk shrews show defective sexual behavior under fasted conditions (Temple and Rissman, 2000). In addition, not a few studies demonstrated that fasting-induced low energy condition suppresses reproduction (Evans and Anderson, 2012; Kalra and Kalra, 1996; Kirkwood et al., 1987; Merry and Holehan, 1979; Hasebe et al., 2016). Thus, it has been well investigated how nutritional status resulting from feeding modulates reproduction. On the other hand, it has been reported that some animals change their feeding behavior during the breeding season. For instance, the black seabream migrates to the shallow water during the breeding season (Tsuyuki, 2018; Kawai et al., 2020) where they can get more food, and the white-tailed deer spends more time for feeding under reproductive status (Stone et al., 2017). Such a close relationship between reproduction and feeding is thought to be important for biological fitness. However, the regulatory mechanisms for breeding season-dependent feeding behavior are still unknown. One possible reason is that most of the model animals appear to have lost the well-defined breeding season. Although the mammalian models, mice and rats, and teleost model zebrafish, have reproductive cycles of about 4–5 days (Nilsson et al., 2015; Peute et al., 1978), they do not have definite breeding seasonality. Thus, the mechanisms for long-term changes in feeding behavior according to the breeding season have not yet been studied in detail.

Here, as a model animal for the seasonal breeder, we used a teleost fish, medaka (Oryzias latipes). Medaka is a useful model animal, whose reproductive status can be experimentally controlled by day-length (Robinson and Rugh, 1943; Egami, 1954) while keeping an appropriate temperature constant. In the long-day (LD) condition (14 h light/10 h dark), female medaka becomes reproductive and regularly spawns every day, while it becomes non-reproductive in the short-day (SD) condition (10 h light/14 h dark). In other words, LD or SD condition can induce breeding or non-breeding season of female medaka, respectively. Thus, medaka enables us to analyze the mechanisms of breeding season-dependent feeding behavior without consideration for possible changes in metabolism and gene expressions due to the changes in ambient temperature, which means medaka is suitable for this study.

Regulatory mechanisms of feeding behavior have mainly been analyzed in mammals. These studies reported that some neuropeptides, such as agouti-related peptide (AgRP) and neuropeptide Y (NPY), are involved in the control of feeding and called ‘feeding-related peptides’ as key molecules for the regulation of feeding behavior (Hahn et al., 1998; Aponte et al., 2011; Krashes et al., 2011; Andermann and Lowell, 2017). Teleosts have also been thought to possess a regulatory mechanism for feeding similar to mammals. In fact, expression of homologous genes coding for feeding-related peptides have been reported (Rønnestad et al., 2017; Conde-Sieira and Soengas, 2016). On the other hand, although administration of some of them have been suggested to induce feeding behavior in teleosts as well (Rønnestad et al., 2017), their functions in feeding behaviors still remain unclear.

In the present study, to understand mechanisms of breeding season-dependent feeding behavior, we focused on female medaka, which clearly show seasonal changes in breeding conditions by day length (Mitani et al., 2010; Kanda et al., 2008) under the fixed appropriate temperature. We first quantified changes in feeding behavior according to the breeding states and found that female medaka under the condition of breeding season (LD) eat more than those under the condition of non-breeding (SD). Therefore, we searched for genes that show breeding state-dependent changes in expression and found some candidates for feeding-related peptides in medaka. We then analyzed expressions of the candidate genes by using RNA-seq, in situ hybridization (ISH), and RT-qPCR, and analyzed phenotypes of gene knockout medaka. These results led us to conclude that AgRP1 plays a key role in the breeding season-dependent changes in feeding behavior via ovarian estrogenic signals.

Results

Feeding behavior of female medaka is upregulated in the breeding season

To analyze food intake of male and female medaka in breeding/non-breeding seasons, we first established a method for measuring food intake in medaka. In brief, we placed medaka in a white cup, fed brine shrimp to medaka in all-you-can-eat style for 10 min, and counted the leftover brine shrimp in the cup with a ‘shrimp-counter’ system (called Japanese ‘Wanko-soba’-like method, Figure 1—source code 1 and Figure 1—figure supplement 1). We used this system to analyze food intake of male and female medaka under the breeding condition equivalent to that in the breeding season (kept under LD condition) or under the non-breeding condition equivalent to that in non-breeding season (SD condition) (Figure 1A; Kanda et al., 2008). We found that female medaka under the breeding (LD) condition eat more than those under the non-breeding (SD) condition (Figure 1B; p=0.02519). In contrast to female, in males there was no significant difference in food intake between the breeding and non-breeding condition (Figure 1C; p=0.6540). Since these results demonstrated that females, not males, show breeding season-dependent feeding behavior, we focused only on female medaka in the following analyses on neuronal mechanism for breeding season-dependent feeding behavior. Next, to examine which gene products modulate feeding behavior of female medaka in the breeding season, we performed mRNA-sequencing (RNA-seq) using the whole brain of female medaka in breeding condition (LD) and non-breeding condition (SD) (Figure 1—figure supplement 2A). Overall, 1025 genes showed significantly different expression between LD and SD female medaka. Figure 1—figure supplement 2B shows a heat map of representative genes mainly related to neuroendocrine system, which were differently expressed between LD and SD females. Among the conventional candidate feeding-related neuropeptides, we identified two kinds of neuropeptides, agrp1 and npyb, both of which showed higher expression in LD than in SD (Figure 1—figure supplement 2C and D). Both AgRP and NPY are known to have orexigenic effects mainly in mice (Schwartz et al., 2000; Andermann and Lowell, 2017). Therefore, in the subsequent analyses, we focused on agrp1 and npyb as candidate genes that modulate breeding season-dependent feeding behavior in female medaka.

Figure 1. Reproductive female medaka show larger amount of food intake.

(A) Light conditions for breeding and non-breeding status. (B) Food intake (10 min) of female medaka in long day (LD) (orange; n=7) and SD (blue; n=7) conditions, normalized to the amount of artemia eaten by medaka in LD (breeding) condition (p=0.02519, U=42.5). (C) Food intake (10 min) of male medaka in LD (orange; n=7) and short day (SD) (blue; n=7) conditions, normalized to the amount of artemia eaten by medaka in LD (breeding) condition (p=0.6540, U=20.5). Mann–Whitney U test, *p<0.05. n.s., not significant.

Figure 1—source code 1. The code of ‘Shrimp-counter’ system.
Figure 1—source data 1. The numerical data for Figure 1.

Figure 1.

Figure 1—figure supplement 1. 'Wanko-soba’ method for calculation of the amount of food intake of fish.

Figure 1—figure supplement 1.

(A) One medaka is put into a white cup with 100 mL breeding water and is habituated for 5 min. (B) Medaka is fed by application of 200 μL aliquots of food water containing brine shrimp in all-you-can-eat style and serve another aliquot once done with it, which is repeated N times (like the Japanese ‘Wanko soba’). (C) Stop feeding 10 min after the start, take 10 mL out of the breeding water and transfer it to a conical tube. The conical tube is frozen overnight and the leftover brine shrimp sunk in the bottom are counted by ‘shrimp-counter’. The food intake is calculated as follows (also see ‘Materials and methods’). (Food Intake) = (The average number of brine shrimp in the solution) * (number of aliquots, N) – (number of leftover brine shrimp sunk in the bottom) * 10. Food intake was normalized by the average of LD medaka.
Figure 1—figure supplement 2. Whole-brain gene expression in long day (LD) (n=3) and short day (SD) (n=3) female medaka.

Figure 1—figure supplement 2.

(A) Volcano plot comparing whole-brain gene expression in LD (n=3) and SD (n=3) female medaka. Genes with higher expression in LD than in SD (p-value<0.05 and logFC<–1) are shown in orange, and those with higher expression in SD than in LD (p-value<0.05 and logFC>1) are shown in blue. (B) Heatmap of representative genes, which are mainly related to neuroendocrine functions and show different expression patterns between LD and SD. (C, D) Transcripts per million (TPM) value of agrp1 and npyb.
Figure 1—figure supplement 2—source data 1. The numerical data for Figure 1—figure supplement 2.

AgRP1, NPYa, and NPYb may be the ‘feeding-related peptides’ in female medaka

Medaka has two agrp paralogues, agrp1 and agrp2, and two npy paralogues, npya and npyb, which arose from third round whole genome duplication early in the teleost lineage (Liu et al., 2019; Sundström et al., 2008). Therefore, we next examined the anatomical distribution of neurons expressing agrp1, npyb, and their paralogs in the female brain by in situ hybridization (ISH). We found that agrp1- and npyb-expressing neurons are distributed in local brain regions (Figure 2A, B and E), while npya- and agrp2- expressing neurons are more widely distributed (Figure 2A, C and D) in the brain. The agrp1 neurons were distributed in the nucleus ventralis tuberis (NVT) of the hypothalamus (Figure 2B), while agrp2 neurons were expressed in the telencephalon and in the hypothalamus (Figure 2C). On the other hand, npya neurons were distributed more widely from telencephalon to hypothalamus (Figure 2D). npyb neurons were distributed locally in the nucleus ventralis telencephali pars dorsalis (Vd) of the telencephalon (Figure 2E).

Figure 2. agrp1- and npyb-expressing neurons are distributed locally, while npya- and agrp2-expressing neurons are distributed more widely in the brain.

(A) Illustration of the lateral view of medaka brain and distributions of cell bodies expressing each agrp or npy gene. The oblique lines labeled with (a–e) indicate the level of the frontal sections in (a–e). (a–e) Illustrations of frontal sections showing the distribution of neurons expressing each gene. The localization of neurons is indicated in the right half of the illustrations. BO, bulbus olfactorius; dDm, dorsal region of area dorsalis telencephali pars medialis; Dl, area dorsalis telencephali pars lateralis; lfb, lateral forebrain bundle; NAT, nucleus anterior tuberis; NRL, nucleus recessus lateralis; NVT, nucleus ventralis tuberis; PIT, pituitary; POA, area preoptica; POp, nucleus preopticus pars paravocellularis; TO, tectum opticum; Vd, area ventralis telencephali pars dorsalis; Vl, area ventralis telencephali pars lateralis; Vs, area ventralis telencephali pars supracommissuralis; Vv, area ventralis telencephali pars ventralis; agrp1 (gray circle), agrp2 (open triangle: high expression, dotted triangle: low expression), npya (star), npyb (open square). (B) agrp1-expressing neurons are localized in NVT. Scale bar: 100 μm. (C) agrp2-expressing neurons are observed in Vv, POA, and NVT. Scale bar: 100 μm. (D) npya-expressing neurons are distributed in dDm, Dl, BO, Vs, Vl, lfb, NRL, NAT, NVT, and TO. Scale bar: 100 μm. (E) npyb-expressing neurons are localized in Vd. Scale bar: 100 μm. (F) Left: agrp1 (green) and npya (magenta) are distributed in NVT, but the two genes are not co-expressed. Right: agrp2 (magenta) and npya (green) are distributed in NVT, but the two genes are not co-expressed. Scale bars: 50 μm. (G–J) agrp and npy expressions in the whole brain of female medaka under normally fed condition (Fed; white; n=7) or 2-week food restricted (FR; gray; n=8). (G) agrp1 (p=0.001243, U=2), (H) agrp2 (p=0.9551, U=29), (I) npya (p=0.2319, U=39), and (J) npyb (p=0.0003108, U=56). Mann–Whitney U test, **p<0.01, ***p<0.001. n.s., not significant.

Figure 2—source data 1. The numerical data for Figure 2.

Figure 2.

Figure 2—figure supplement 1. The number of npya-expressing neurons and the expression of agrp2 in the hypothalamus of fed and food-restricted (FR) medaka.

Figure 2—figure supplement 1.

(A) Total number of npya-expressing neurons in the hypothalamus of female medaka under normal fed condition (Fed; white; n=4) or 2 weeks food restriction (FR; gray; n=4). p=0.02857, U=16. (B) The number of npya-expressing neurons in the NVT of female medaka under normal fed condition (Fed; white; n=4) or 2 weeks food restriction (FR; gray; n=4). p=0.1143, U=14. (C) The number of npya-expressing neurons in the NRL of female medaka under normal fed condition (Fed; white; n=4) or 2 weeks food restriction (FR; gray; n=4). p=0.02857, U=16. (D) The number of npya-expressing neurons in the NAT of female medaka under normal fed condition (Fed; white; n=4) or 2 weeks food restriction (FR; gray; n=4). p=0.02857, U=16. Mann–Whitney U test, *p<0.05. (E) agrp2 expression of female medaka under normal fed condition (Fed) or 10 days food restriction (FR). Arrowheads indicate cell bodies of agrp2-expressing neurons. Scale bar: 100 μm.
Figure 2—figure supplement 1—source data 1. The numerical data for Figure 2—figure supplement 1.

In mice, agrp is known to be only expressed in the hypothalamus and mostly co-expressed with npy (Hahn et al., 1998), and these AgRP/NPY neurons are known to regulate mammal feeding behavior (Shutter et al., 1997; Broberger et al., 1998; Ollmann et al., 1997; Takahashi and Cone, 2005). In medaka, on the other hand, agrp1 signals were not observed in npya neurons (Figure 2F, left), although the both genes were expressed in the hypothalamus. In addition, agrp2 signals were not observed in hypothalamic npya neurons (Figure 2F, right), either. These results suggest that AgRP and NPY are not co-expressed in medaka. Since AgRP and NPY of medaka showed different expressing patterns compared with other animals such as mice, we examined whether they act as modulators of feeding. We divided female medaka in LD condition into two groups; one group was kept under normally fed condition (Fed), and the other was kept under 2-week food restricted condition (FR). We then analyzed whole-brain expressions of these four genes. RT-qPCR analysis demonstrated that 2-week FR increased the expression of agrp1 (Figure 2G; p=0.001243) but decreased that of npyb (Figure 2J; p=0.0003108), suggesting that the two peptides are involved in feeding in an opposite manner. On the other hand, agrp2 did not significantly change their expressions between Fed and FR conditions (Figure 2H; p=0.9551). Although npya did not significantly change their expressions between Fed and FR conditions (Figure 2I; p=0.2319), it may be possible that npya expression changed in a specific brain region, since npya neurons are widely distributed in various brain regions as described above (Figure 2D). Since it is suggested that NPY released from hypothalamic npy-expressing neurons controls food intake in mice (Kohno and Yada, 2012), we also examined the npya-expression in medaka hypothalamus by ISH. We counted npya-expressing neurons in each hypothalamic region and compared them between Fed and FR female medaka (Figure 2—figure supplement 1). We found that the total number of npya-expressing neurons in the hypothalamus was significantly larger in Fed compared with FR (Figure 2—figure supplement 1A; p=0.02857). Here, significant increase in cell number was observed in nucleus recessus lateralis (NRL) (p=0.02857) and nucleus anterior tuberis (NAT) (p=0.02857), but not in NVT (p=0.1143) (Figure 2—figure supplement 1B–D). On the other hand, the expression of agrp2 did not show remarkable difference in the hypothalamus under food restriction or not (Figure 2—figure supplement 1E). Thus, the results suggest that AgRP1, NPYa, and NPYb may be the ‘feeding-related peptides’ in female medaka.

Both agrp1 and npyb show higher expression levels in LD than in SD female medaka

To further examine the result of RNA-sequencing (Figure 1—figure supplement 2), we compared expression of agrp1 and npyb between the female medaka under the breeding condition (LD) and those under the non-breeding condition (SD) using ISH and whole-brain RT-qPCR (Figure 3). First, we performed whole-brain RT-qPCR and found that the expression level of agrp1 was higher in LD than in SD female (Figure 3A, p=0.001865). In ISH experiments, we observed larger number of agrp1-expressing neurons in LD than in SD females (Figure 3B and C; p=0.02828, Figure 3—figure supplement 1). Since the expression level of agrp1 was higher in LD than that in SD (Figure 3A), higher expression of agrp1 under the breeding condition may be due to the increase in the number of neurons expressing agrp1. On the other hand, npyb expression in RT-qPCR was significantly higher in LD than that in SD (Figure 3D; p=0.0001554), although ISH analysis demonstrated that npyb-expressing cell number was not significantly different between LD and SD (Figure 3E; p=0.4206). These results suggest that the expression level for each neuron increased in LD compared with SD. Thus, higher expression of npyb under the breeding condition may be due to the increase of expressions in each neuron expressing npyb.

Figure 3. agrp1 and npyb show higher expression levels in long day (LD) than in short day (SD) female.

(A) agrp1 expression in the whole brain of LD (orange; n=8) and SD (blue; n=8) female medaka (p=0.001865, U=60). (B) In situ hybridization (ISH) of agrp1-expressing neurons in LD and SD female medaka. Scale bar: 100 μm. (C) The number of neurons expressing agrp1 in LD (orange; n=5) and SD (blue; n=5) (p=0.02828, U=23). (D) npyb expression in the whole brain of LD (orange; n=8) and SD (blue; n=8) female medaka (p=0.0001554, U=64). (E) The number of neurons expressing npyb in LD (orange; n=5) and SD (blue; n=5) (p=0.4206, U=17). The upper, middle, and lower bars show the third quartile, median, and the first quartile, respectively. Mann–Whitney U test, *p<0.05, **p<0.01, ***p<0.001. n.s., not significant.

Figure 3—source data 1. The numerical data for Figure 3.

Figure 3.

Figure 3—figure supplement 1. Time course of the number of neurons showing in situ hybridization (ISH) signals for agrp1.

Figure 3—figure supplement 1.

(A) Time course of the number of neurons showing ISH signals for agrp1 at each 30 min time point from the beginning of the chromogenic reaction in long day (LD) (orange; n=5) and short day (SD) (blue; n=5). The positive neurons were counted from 0 min to 300 min after application of NBT/BCIP (see ‘Materials and methods’), and the reaction saturated at 300 min onward. (B) Ratio of cell number at 90 min divided by that at 300 min. The relative cell number was not significantly different between LD and SD (p=0.2948, U=18).
Figure 3—figure supplement 1—source data 1. The numerical data for Figure 3—figure supplement 1.

In juvenile female medaka, expression levels of neither agrp1 nor npyb show significant change according to the day-length

The results thus far indicates that expressions of agrp1 and npyb are upregulated in female medaka under the condition of breeding season. Since the breeding/non-breeding state is experimentally controlled by day-length (LD/SD) in the present study, we examined which of the two factors, day-length itself or substance(s) from LD-induced mature ovary, regulates the expression of agrp1 and npyb. Here, we used sexually immature juvenile medaka and compared their whole-brain expressions of agrp1 and npyb under LD/SD conditions using RT-qPCR (Figure 4). We found that expression levels of neither agrp1 nor npyb show significant difference between LD and SD (Figure 4A [p=0.4179] and Figure 4B [p=0.3357]). Furthermore, food intake of juvenile female was not different between LD and SD (Figure 4—figure supplement 1; p=0.7197). These results suggest that neither of them is regulated directly by day-length itself. Instead, the gene expression is suggested to be regulated by LD-induced sexual maturity.

Figure 4. In juvenile female medaka, expression levels of neither agrp1 nor npyb show significant change according to the day-length.

(A) agrp1 expression in the brain of juvenile female medaka (p=0.4179, U=21). (B) npyb expression in the brain of juvenile female medaka (p=0.3357, U=19). Long day (LD): orange, n=8; short day (SD): blue, n=7. The upper, middle, and lower bars show the third quartile, median, and the first quartile, respectively. Mann–Whitney U test. n.s., not significant.

Figure 4—source data 1. The numerical data for Figure 4.

Figure 4.

Figure 4—figure supplement 1. Food intake of juvenile female does not show significant change according to the day-length.

Figure 4—figure supplement 1.

(A) Method for counting food intake of juvenile. A fish was placed in a white cup containing 50 mL breeding water. After 5 min habituation, 200 µL shrimp water was applied. Fish was picked up 10 min later by a dropper, and its fin was cut for the genotype of sex. The food intake was calculated by subtraction from the number of applied shrimps to that of the leftover shrimps. (B) Food intake of juvenile female medaka in long day (LD) (n=9) and short day (SD) (n=10) conditions. Each food intake was normalized to the average food intake of LD fish (p=0.7197, U=50). Mann–Whitney U test. n.s., not significant.
Figure 4—figure supplement 1—source data 1. The numerical data for Figure 4—figure supplement 1.

Estrogen, which is released from mature ovary, may affect the expression of agrp1

Among various factors associated with ovarian maturity, estrogens are known to be abundantly released from mature ovary and play important roles in reproductive readiness, sexual behavior, and so on Jennings and de Lecea, 2020; Naftolin et al., 2007; Adachi et al., 2007; Clarkson and Herbison, 2009; Wintermantel et al., 2006; Micevych and Meisel, 2017; Melo and Ramsdell, 2001. Among the ovarian estrogens, 17β-estradiol (E2) is the major factor important for reproduction (Kanda et al., 2011; Kelly and Qiu, 2010), and the blood E2 concentration of LD-conditioned female medaka is higher than those of SD (Ikegami et al., 2022). Thus, we hypothesized that E2 regulates the expression of agrp1 and npyb under the condition of breeding season. We analyzed the expression of agrp1 and npyb in sham-operated (Sham), ovariectomized (OVX, fish with surgical ablation of the ovary), and OVX medaka with E2-administration (OVX+E) (Figure 5A and B). The OVX medaka were allowed to survive at least for 2 weeks to clear the endogenous E2 (Kayo et al., 2020), and spawning of all the Sham medaka were confirmed for three consecutive days. By using whole-brain RT-qPCR, we found that OVX induces significantly lowered agrp1 expression than Sham, and OVX+E shows a tendency to recover agrp1 expression compared with OVX (Figure 5A; Sham vs OVX: p=0.04310, OVX vs OVX+E: p=0.05790, Sham vs OVX+E: p=0.2000), which suggests that the ovarian E2 regulates agrp1 expression. On the other hand, the expression levels of npyb did not show significant differences among the three groups (Figure 5B; Sham vs OVX: p=0.1386, OVX vs OVX+E: p=0.9991, Sham vs OVX+E: p=0.08120). In addition, food intake of OVX female was not significantly different between LD and SD (Figure 5—figure supplement 1; p=0.7308), which suggests that ovarian signal may be important for breeding season-dependent feeding behavior. Therefore, we focused more on the estrogenic regulation of agrp1 expression.

Figure 5. Estrogen, which is secreted from mature ovary, may affect the expression of agrp1.

(A) Relative expression of agrp1 in Sham (white; n=6), OVX (ovariectomized medaka, gray; n=6), and OVX+E (OVX medaka kept in the tank containing E2, yellow; n=7). Sham vs OVX: p=0.04310, OVX vs OVX+E: p=0.05790, Sham vs OVX+E: p=0.2000. (B) Relative expression of npyb in Sham, OVX, and OVX+E. Sham vs OVX: p=0.1386, OVX vs OVX+E: p=0.9991, Sham vs OVX+E: p=0.08120. The upper, middle, and lower bars show the third quartile, median, and the first quartile, respectively. Steel–Dwass test, *p<0.05. n.s., not significant. (C) Photographs of brain slices after experiments of double in situ hybridization (agrp1 [green] and estrogen receptors [magenta]). (D) Expanded photograph of agrp1 and esr2a co-expressing neurons (white arrowhead). Scale bars: 50 µm.

Figure 5—source data 1. The numerical data for Figure 5.

Figure 5.

Figure 5—figure supplement 1. Food intake of OVX female does not show significant change according to the day-length.

Figure 5—figure supplement 1.

Food intake of OVX female medaka in long day (LD) (n=7) or short day (SD) (n=6) conditions. Food intake was normalized to the average food intake of LD fish (p=0.7308, U=18). Mann–Whitney U test. n.s., not significant.
Figure 5—figure supplement 1—source data 1. The numerical data for Figure 5—figure supplement 1.

Estrogens act mainly by interacting with estrogen receptors (Chen et al., 2022). Medaka has three kinds of estrogen receptors; esr1, esr2a, and esr2b (Tohyama et al., 2016; Kinoshita et al., 2009), and all of them have been reported to be expressed in NVT (Zempo et al., 2013), in which agrp1 was also expressed (Figure 2B). Therefore, we examined co-expression of these esr genes and agrp1. As shown in Figure 5C and D, esr2a signal was clearly co-expressed in some agrp1-expressing neurons, which strongly suggests that E2 affects the expression of agrp1 via esr2a in those neurons of NVT.

agrp1−/− female medaka show a decrease in food intake and in the number of fertilized eggs

Our present experimental evidence thus far highlights the importance of agrp1 as the factor modulating the season-dependent feeding behavior in medaka. To analyze the function of AgRP1 in medaka, we generated knockout medaka of agrp1 (agrp1−/−) by using CRISPR/Cas9. The designed CRISPR guide RNA cleaved targeted sites of agrp1 (exon3, Figure 6—figure supplement 1A), and we obtained agrp1−/− medaka, which has lots of amino acid changes in functional site for AgRP1 (Figure 6—figure supplement 1B). In agrp1−/− brain, AgRP1 immunoreactive signals, which were observed in WT, were not found (Figure 6—figure supplement 1C). These suggested that agrp1−/− possess nonfunctional AgRP. As for phenotype of the knockout, the agrp1−/− female medaka appeared skinny and the body weight was significantly lower than that of agrp1+/+ (Figure 6A; body weight: p=0.04113; abdominal length: p=0.002165). In addition, abdominal height of agrp1−/− was also smaller than that of agrp1+/+, while the body length was not significantly different (Figure 6A; body length: p=0.3939). We next analyzed food intake of agrp1−/− female medaka in LD condition (breeding). As shown in Figure 6B (p=0.004329) and Figure 6—figure supplement 2 (agrp1+/+ vs agrp1−/+: p=0.5470, agrp1+/+ vs agrp1−/−: p=0.009353, agrp1−/+ vs agrp1−/−: p=0.01234), we found that LD agrp1−/− female medaka eat less than agrp1+/+. Then, we kept agrp1−/− medaka in LD or SD condition and compared their food intake. In contrast to agrp1+/+, agrp1−/− in LD condition did not show a significant increase in food intake compared with SD (Figure 6C; p=0.5953). We also examined whether loss of AgRP1 affects reproductive function. Whereas the agrp1−/− females were fertile, the pairs of agrp1−/− female and agrp1+/+ male resulted in fewer spawned eggs than agrp1+/+ pairs (Figure 6D; p=0.008658). In addition, the ovarian size of agrp1−/− appeared to be smaller than agrp1+/+ (Figure 6E, left). In particular, since relative ovarian weight normalized by body weight (gonadosomatic index [GSI]) of agrp1−/− female tended to be marginally smaller than agrp1+/+ (Figure 6E, right; p=0.06494), the smaller body size of agrp1−/− (Figure 6A) may drastically affect ovarian morphology. Since the number of spawned eggs was decreased in agrp1−/− female, we analyzed gene expressions of gonadotropins which should affect ovarian maturation. Oocyte maturation and ovulation are known to be regulated by gonadotropins, follicular-stimulating hormone (FSH) and luteinizing hormone (LH). As shown in Figure 6F, agrp1−/− females showed lower levels of expression of gonadotropin genes (fshb and lhb; lhb: p=0.008658; fshb: p=0.02597), which suggests that loss of function of agrp1 impaired breeding season-dependent feeding behavior and led to attenuation of reproductive functions, especially the decrease in number of spawned eggs in the breeding season.

Figure 6. agrp1−/− female medaka show decrease in food intake and the number of fertilized eggs.

(A) Lateral views of representative agrp1+/+ and agrp1−/− female medaka (left), and body weight, body length, and abdominal height (right) of agrp1+/+ (white; n=6) and agrp1−/− (gray; n=6). All the fish are 4-month-old adult medaka. Scale bar: 1 cm. body weight: p=0.04113, U=31; body length: p=0.3939, U=24; abdominal height: p=0.002165, U=36. (B) Food intake (10 min) of agrp1+/+ (white; n=6) and agrp1−/− (gray; n=6) female medaka. Each amount of food intake is normalized by the average number of that of agrp1+/+ medaka (p=0.004329, U=35). (C) Food intake (10 min) of LD agrp1−/− (white; n=9) and SD agrp1−/− (gray; n=7) female medaka. Each amount of food intake is normalized by the average number of that of LD agrp1−/− medaka (p=0.5953, U=37). (D) The number of eggs spawned by agrp1+/+ (white; n=6) and agrp1−/− (gray; n=5) female medaka in a day. Each female was paired with a wildtype male (p=0.008658, U=28.5). (E) Photograph of ovary in representative agrp1+/+ and agrp1−/− female (left) and the gonado-somatic index (GSI, right). n=6 of each group (p=0.06494, U=30). Scale bar: 1 mm. (F) Expression of gonadotropin genes (lhb and fshb) in the pituitary of agrp1+/+ (white; n=6) and agrp1−/− (gray; n=6) female medaka. lhb: (p=0.008658, U=34); fshb: (p=0.02597, U=32). The upper, middle, and lower bars show the third quartile, median, and the first quartile, respectively. Mann–Whitney U test, *p<0.05, **p<0.01. n.s., not significant.

Figure 6—source data 1. The numerical data for Figure 6.

Figure 6.

Figure 6—figure supplement 1. Mutation site of agrp1 knockout medaka.

Figure 6—figure supplement 1.

(A) The DNA sequence of WT (agrp1 +/+) and mutated (agrp1−/−) exon3 of agrp1 gene. The nucleotide indicated with magenta represents an insertion. (B) The predicted amino acid sequence of agrp1 +/+ and agrp1−/−. Mutated amino acids are indicated with magenta. (C) AgRP1 immunoreactive signals were found in WT female brain but not in agrp1−/− one. Upper row: WT, lower row: agrp1−/−. Green: AgRP1 immunoreactive signals; blue: nuclei (DAPI). Scale bar: 50 µm.
Figure 6—figure supplement 2. Food intake of WT, agrp1 hetero, and homo knockout medaka.

Figure 6—figure supplement 2.

Food intake of WT (agrp1 +/+, n=8), hetero (agrp1+/−, n=7), and homo knockout (agrp1−/−, n=5) female medaka. agrp1 +/+ vs agrp1−/+: p=0.5470, agrp1 +/+ vs agrp1−/−: p=0.009353, agrp1−/+ vs agrp1−/−: p=0.01234. The upper, middle, and lower bars show the third quartile, median, and the first quartile, respectively. Steel–Dwass test, *p<0.05, **p<0.01. n.s., not significant.
Figure 6—figure supplement 2—source data 1. The numerical data for Figure 6—figure supplement 2.

Discussion

In the present study, we took advantage of female medaka, which clearly shows breeding season-dependent feeding behavior and found that neuropeptides, agrp1 and npyb, show higher expression under the breeding condition than under the non-breeding condition. We also obtained results to suggest that the expression of both agrp1 and npyb changes depending on nutritional status of female medaka. In addition, ovariectomy and E2 administration changed expression of agrp1 but not npyb, suggesting that increased release of ovarian E2 in the breeding season upregulates the agrp1 expression, which results in the facilitation of female feeding behavior. Finally, loss-of-function mutation of AgRP1 decreased the amount of food intake and the number of spawned eggs. The present results suggest that breeding season-dependent feeding behavior can be modulated by the increased expression of agrp1 upregulated by increased release of ovarian estrogen in the breeding season (Figure 7). To date, not a few previous reports have shown the influence of nutritional status on reproduction (Evans and Anderson, 2012; Kalra and Kalra, 1996; Kirkwood et al., 1987; Merry and Holehan, 1979; Hasebe et al., 2016). On the other hand, although seasonal breeders have been reported to show changes in feeding behavior during the breeding season (Tsuyuki, 2018; Kawai et al., 2020), its neuroendocrine mechanisms have largely remained enigmatic. Our present results may provide a neuroendocrinological model for the mechanisms that play a key role in the control of breeding season-dependent feeding behavior in teleosts.

Figure 7. Illustration of mechanisms of breeding season-dependent feeding behavior in medaka suggested by the present study.

Figure 7.

(A) Long day (LD) condition in the breeding season induces ovarian maturation, which facilitates release of estrogen (E2) from the mature ovary. (B) High concentration of serum E2 increases agrp1 expression in the brain via the estrogen receptors, especially, esr2a. (C) Higher expression of AgRP1 is suggested to activate neural circuitry for feeding, which leads to an increase in food intake and egg spawning of female medaka in the breeding season.

Feeding-related peptides AgRP and NPY in medaka

Here, we demonstrated that female medaka eat more under the condition of breeding season (Figure 1B). Various kinds of neuropeptides in the brain have been suggested to control feeding, and these are generally called ‘feeding-related peptides’ (Funahashi et al., 2003). In the present study, we first used a seasonally breeding model teleost medaka and searched for the ‘feeding-related peptides’ involved in seasonal feeding behavior. A whole-brain RNA-seq analysis using female medaka under the breeding condition (LD) and non-breeding condition (SD) revealed two kinds of feeding-related peptides, agrp1 and npyb, which show different expression levels between LD and SD (Figure 1—figure supplement 2). In mammals, AgRP and NPY are known to have orexigenic function and are co-expressed in hypothalamic neurons (Schwartz et al., 2000; Hahn et al., 1998). Previous studies in mammals (Schwartz et al., 2000; Andermann and Lowell, 2017; Muroi and Ishii, 2016) have suggested neural mechanisms of appetite including functions of AgRP and NPY. However, such mechanisms in non-mammalian vertebrates such as teleosts (Rønnestad et al., 2017; Blanco and Soengas, 2021) have not yet been clarified. Our present study using medaka has shown possible functions of AgRP and NPY in teleost feeding behavior, especially in a breeding season-dependent manner.

Our present study using medaka showed that female medaka express agrp1 in hypothalamus, and food restriction increases the agrp1 expression (Figure 2B and G). It has been reported that leptin receptor-knockout medaka show higher food intake and higher expressions of agrp1 and npya than wild type, whereas the expression of agrp2 and npyb remained to be analyzed (Chisada et al., 2014). Zebrafish has also been used as a model animal in teleosts. In zebrafish, food restriction increased agrp1 (Song et al., 2003; Opazo et al., 2018) expression, and transgenic overexpression of agrp1 caused gain of body weight (Song and Cone, 2007), as in mammals (Graham et al., 1997; Adam et al., 2002; Hahn et al., 1998; Ilnytska and Argyropoulos, 2008). It has also been reported that agrp1 knockout zebrafish eat less than the wild type (Shainer et al., 2019), although loss of AgRP in mice showed little effect on food intake (Qian et al., 2002). Our present results and these previous studies strongly support that agrp1 regulates feeding and may act as an orexigenic factor in teleosts. On the other hand, agrp2 neurons were distributed mainly in telencephalon, and its weak expressions were also observed in the POA and the hypothalamus (Figure 2C), which is different from the results in zebrafish (Shainer et al., 2017). In the present study, food restriction did not remarkably affect the agrp2 expression in medaka (Figure 2, Figure 2—figure supplement 1E), and AgRP2 in zebrafish is suggested to play an important role in stress response, not feeding (Shainer et al., 2019). Thus, it is highly probable that agrp2 is involved in functions other than feeding in female medaka.

Furthermore, we demonstrated that npya is expressed in multiple brain regions including hypothalamus in medaka (Figure 2D), which is similar to mammals (Gray and Morley, 1986) and zebrafish (Yokobori et al., 2012; Jeong et al., 2018). We also showed that npya is not co-expressed with agrp1 nor agrp2 (Figure 2F) as in the zebrafish (Jeong et al., 2018), suggesting that the relationship between NPY and AgRP of teleosts may be different from that of mammals, in which most of the agrp-expressing neurons co-express npy (Hahn et al., 1998). Moreover, the present study also showed that npyb expression is localized in telencephalon (Figure 2E), which is similar to the previous report using tiger puffer (Kamijo et al., 2011). Previous studies of NPY in zebrafish showed that zebrafish has only one type of NPY (NPYa) (Söderberg et al., 2000; Larsson et al., 2009) and has lost NPYb during evolution. Like in mammals (Marks et al., 1992; Clark et al., 1984; Glenn Stanley et al., 1986; Marks and Waite, 1997; Baldock et al., 2009), food restriction in zebrafish increased the npya expression in the hypothalamus (Song et al., 2003; Opazo et al., 2018), and intracerebroventricular administration of NPYa increased food intake (Yokobori et al., 2012). Although these zebrafish studies suggest that NPYa may increase food intake, it is still debatable since body weight was not significantly different between npya knockout zebrafish and wild type (Shiozaki et al., 2020). Interestingly, by analyzing both npya and npyb expression in medaka of different nutritional conditions, we found that food restriction decreased the npya-expressing cell number in the hypothalamus (Figure 2—figure supplement 1) and npyb expression level (Figure 2J). These changes in npya and npyb expressions are not consistent with previous studies using other conventional model animals described above (Yokobori et al., 2012; Marks et al., 1992; Clark et al., 1984; Glenn Stanley et al., 1986; Marks and Waite, 1997; Baldock et al., 2009). The present study may suggest that the function of npy may be different among teleosts. In addition, npyb expression was increased under the breeding condition (LD), while LD female showed increase in food intake (Figure 3F). Thus, decreased expression of npyb by food restriction (Figure 2J) may suggest that the change in npyb expression reflects nutritional condition in medaka. Thus, future study of npya and npyb functions in the control of feeding will be necessary.

As described above, we found that agrp1, npya, and npyb change expression levels in response to nutritional status. Among these three genes, we suggest that agrp1 most probably affects relatively long-term feeding in the breeding season, which agrees well with the recent studies in mice showing the function of AgRP as a long-term orexigenic factor. In mice, it has been reported that intracerebroventricular administration of AgRP increases food intake for 1 week (Hagan et al., 2000), and stimulation of receptors expressed in AgRP neurons triggers AgRP release, leading to an increase in food intake for 3 days (Nakajima et al., 2016). The present study also suggests a long-term (seasonal) orexigenic effect of AgRP in teleosts and may also provide an important insight into the understanding of common regulatory mechanisms of feeding by AgRP among various animal species.

High concentration of E2 in the breeding season facilitates agrp1 expression

Our results suggest that agrp1 and npyb show higher expressions under the breeding condition (LD) (Figure 3), but the experiments using juvenile female medaka (Figure 4) showed that expression levels of these two genes do not change according to the day-length itself but to the LD-induced sexual maturity. In addition, the present results indicate that the ovarian estrogen E2 upregulates agrp1 expression mainly via the estrogen receptors esr2a that are co-expressed in some population of agrp1 neurons in the hypothalamic nucleus NVT (Figure 5). Since LD female medaka (breeding) shows high blood concentration of E2 (Ikegami et al., 2022), this pathway may be important for breeding season-dependent feeding behavior. Especially, in teleost, main egg protein for nutrition is vitellogenin, whose expression is also facilitated by E2 (Tohyama et al., 2017). Taken together, it is suggested that E2 may synchronously regulate amount of food intake and female-specific reproductive signals (vitellogenin production and oocyte maturation), which plays a key role in reproductive success in oviparous animals.

In mammals, previous studies have reported on inconsistent effects of ovary and E2 on feeding. Ablation of ovary caused suppression of food intake in mice (Yu et al., 2020), whereas it caused no change in rats (Roesch, 2006). On the other hand, administration of E2 decreased food intake in both mice (Yu et al., 2020) and rats (Roesch, 2006). It should be noted that these laboratory rodents only exhibit short estrous cyclicity and have lost breeding seasonality, and the blood E2 concentration drastically changes in a few days (Nilsson et al., 2015). Thus, it is possible that the control mechanisms of feeding may be different between animals with short estrous cyclicity and those with breeding seasonality.

Furthermore, the present study suggests different control mechanisms of feeding between the animals with breeding seasonally and those without. Here, we showed that E2 directly modulates agrp1 expression via esr2a receptors co-expressed in the agrp1 neurons (Figure 5C), while in mice, AgRP/NPY neurons are reported to be suppressed by E2 indirectly via esr1 (erα)-expressing Kiss1 neurons located in the hypothalamic arcuate nucleus (Qiu et al., 2018; Dubois et al., 2016; Yang et al., 2017). On the other hand, in medaka, expressions of all kinds of estrogen receptors are reported to be localized in NVT (Zempo et al., 2013), in which agrp1 expression is also localized (Figure 2B). In addition, esr2a has been reported to be involved in the feedback regulation of follicle-stimulating hormone in the pituitary and in the development of oviduct, and esr2a knockout females are completely infertile (Kayo et al., 2019). Our hypothesis that estrogen signaling via esr2a affects agrp1 expression may highlight another important function of esr2a for reproduction, while a possibility still remains that esr1- and esr2b-expressing neurons also affect agrp1 expression indirectly.

AgRP1 changes feeding behavior depending on LD-induced sexual maturity, which causes the increase in food intake in the breeding season

Since our results thus far indicate the importance of agrp1, which shows upregulated expression directly stimulated by the ovarian E2 in the breeding season, we examined phenotypes of agrp1 knockout (agrp1−/−) medaka. We found that agrp1−/− medaka under the condition of breeding season eat less (Figure 6B) and spawn a smaller number of eggs (Figure 6D) than WT. Furthermore, the agrp1−/− females did not show significant difference of food intake in LD and SD (Figure 6C). These results strengthen our hypothesis that agrp1 is involved in the increased food intake in the breeding season. Furthermore, agrp1−/− female displayed light body weight (Figure 6A), accompanied by smaller ovary (Figure 6E) and low level of expression of gonadotropins, fshb and lhb (Figure 6F), which are considered to have caused smaller number of spawned eggs. All of these results support our hypothesis that AgRP1 plays an important role in the breeding season-dependent feeding behavior, which culminates in normal reproduction.

In summary, by using a seasonal breeder medaka, we found evidence to suggest that long day-length facilitates ovarian maturation and E2 release, which upregulates agrp1 expression of hypothalamic neurons to activate neural circuitry for feeding behavior and boost oocyte maturation. We propose that this kind of positive feedback control may be important for animals that spawn many eggs every day in the breeding season (Figure 7); medaka needs plenty of food for the production of many eggs. In other words, the metabolic costs of producing eggs on a daily basis in medaka would inevitably require increased food intake. Indeed, previous study showed a need for high food intake for reproduction (Hasebe et al., 2016). It is expected that future studies will elucidate whether or not the present findings in medaka are applicable to other seasonal breeders as well.

Materials and methods

Animals

Female and male wild-type d-rR medaka (O. latipes) and agrp1 knockout (agrp1−/−) medaka were maintained in pairs or shoals at 27℃. Fish were fed three times a day with brine shrimp and flake food (Otohime B-2; San-u Fish Farm, Osaka, Japan). Their reproductive status was controlled by day-length (LD [14 h light/10 h dark]: reproductive, SD [10 h light/14 h dark]: non-reproductive). The light-on time was 8:00 AM. We used juvenile medaka (~5 weeks after fertilization) and adult medaka (>3 months after fertilization). Female medaka, which spawned at least three consecutive days, were used as reproductive ones. For the analysis of the effect of food restriction, reproductive and non-reproductive female medaka were fasted for 14 days or 10 days. Note that all medaka survived after food restriction. For the analyses of food intake, we food-restricted medaka for 6 h after 10 min feeding in the morning and sampled their whole brains for subsequent experiments. Food-restricted medaka were sampled at the same time as the other fed medaka. All experiments and fish maintenance were conducted in accordance with the Guidelines for Proper Conduct of Animal Experiments (Science Council of Japan) and the protocols approved by the Animal Care and Use Committee of Graduate School of Science, the University of Tokyo (permission number, 17-1, 20-6), and the Animal Care and Use Committee of Graduate School of Agriculture, Tokyo University of Agriculture and Technology (permission number, R05-15, R06-27).

Food intake assay

Each 6 h food-restricted medaka was put into a white cup with 100 mL breeding water and was habituated for 5 min. Then, we fed medaka by application of 200 μL aliquots of food water containing brine shrimp in all-you-can-eat style and serve another aliquot once done with it, which is repeated N times (like the Japanese ‘Wanko soba’; so-called Japanese ‘Wanko soba’ method). Then, 10 min after the start, we stopped feeding medaka and placed a magnetic bar to stir the breeding water so that the shrimp concentration will be constant. Then, we collected 10 mL aliquot from the experimental cup by using a micro pipette and transferred it to a conical tube. The conical tube was frozen overnight, and the leftover brine shrimp sunk in the bottom were counted by ‘shrimp-counter’. We counted the number of brine shrimp in the 200 μL solution three times before and after the experiments, and the average number was used. The food intake was calculated as follows.

  • (Food Intake) = (The average number of brine shrimp in the solution) * (number of aliquots, N)

  • - (number of leftover brine shrimp sunk in the bottom) * 10

Food intake was normalized by the average of LD or WT medaka.

‘Shrimp-counter’ system

The number of shrimps in the solution was counted using OpenCV3 library (Intel, Santa Clara, CA) run under a Python script (Figure 1—source code 1). This script was run under Anaconda 4.4.0 for Windows running Python 3.5.

RNA-sequencing

We collected two whole brains of LD or SD female in one tube (note that pituitary was confirmed not to be included) and extracted total RNA by using NucleoSpin RNA Plus kit (MACHEREY-NAGEL, Düren, Germany). cDNA was obtained by KAPA Stranded mRNA-Seq Kit (Kapa Biosystems, Inc, Wilmington, MA) and KAPA Library preparation kit (Kapa Biosystems, Inc). Then, it was applied to a next-generation sequencer Hiseq 2500 (Illumina, San Diego, CA), following the standard protocol of Illumina system. We selected the candidate genes judging from transcripts per million (TPM) for expression value in the obtained data using CLC Genomics Workbench. We made volcano plot using R (R Development Core Team, 2023) and RStudio (2023) and colored dots, which indicate p-value <0.05 and |log FC|>1. In addition, we made a heatmap of genes related to neuroendocrine system using DESeq2 (Love et al., 2014).

Histological analysis of the distribution of agrp- and npy-neurons in the brain

To analyze the distribution of agrp- and npy-expressing neurons, we performed ISH for agrp and npy on frozen sections of reproductive medaka. In brief, female medaka was anesthetized (FA100, Bussan Animal Health Co, Ltd, Osaka, Japan), and its brain was picked up and fixed with 4% paraformaldehyde (PFA)/PBS. In analyses on agrp2 expression, we performed perfusion-fixation by using 4% PFA/PBS. After incubation with 30% sucrose/PBS, brains were embedded in 5% low melting agar/20% sucrose/PBS and sectioned at a thickness of 25 µm. The sections were hybridized with agrp1 (ENSORLG00000000398, 177 bases), agrp2 (ENSORLG00000029106, 303 bases), npya (ENSORLG00000004649, 288 bases) and npyb (ENSORLG00000007880, 288 bases)-specific digoxigenin (DIG)-labeled RNA probes and performed nitro blue tetrazolium (NBT)/ 5-bromo-4-chloro-3-indolyl-phosphate color-reaction (BCIP) after wash and incubation with anti-digoxigenin antibody (Cat# 11093274910; Roche; RRID:AB_514497) as previously reported (Zempo et al., 2013). Photographs were taken with a digital camera (DFC310FX; Leica Microsystems, Wetzlar, Germany) attached to an upright microscope (DM5000B; Leica Microsystems).

Histological analysis of agrp1-, npy-, and estrogen receptor (esr)-expressing neurons

To examine whether agrp1-expressing neurons co-express npya and esr, we prepared agrp1 fluorescein-labeled RNA probe and carried out double ISH as previously reported (Umatani et al., 2022). esr DIG-labeled probes were kindly given by Dr. Kayo (Kyoto Univ.), and we used npya DIG-labeled probe described in the previous paragraph. In brief, we made brain sections as described above and applied both agrp1 fluorescein-labeled and each DIG-labeled RNA probes. Signals for npya, esr1, esr2a, and esr2b were visualized by incubation with anti-digoxigenin antibody (Cat# 11207733910; Roche; RRID:AB_514500) and TSA Plus Cy3 System (TSA-Plus Cyanine 3 system, Cat# NEL744001KT, Akoya Biosciences, Marlborough, MA). After inactivation of Cy3 system by 3% H2O2, we applied peroxidase-conjugated anti-fluorescein antibody (Cat# 11426346910, Roche; RRID:AB_840257) on sections and performed TSA Plus biotin system (Cat# NEL749A001KT, Akoya Biosciences). Then, signals for agrp1 were visualized by Alexa 488 conjugated streptavidin (Cat# S11223, Invitrogen). For counter-staining of cell nuclei, DAPI in PBS was applied on section. On the other hand, to examine whether agrp2-expressing neurons co-express npya, we used npya fluorescein-labeled RNA probe and agrp2 DIG- labeled one. Double ISH of them was performed according to the same method described above. Fluorescent images were acquired with a confocal laser-scanning microscope (AXR, Nikon, Tokyo, Japan) using excitation and emission wavelengths of 405 nm and 429–474 nm for DAPI, 488 nm and 512–526 nm for Alexa 488, and 561 nm and 571–625 nm for Cy3, respectively. These were photographed at the Tokyo University of Agriculture and Technology for Smart Core facility Promotion Organization.

Quantitative real-time polymerase chain reaction (RT-qPCR)

A whole brain or a pituitary was collected from each medaka and total RNA was extracted by using FastGene RNA basic kit (Nippon Genetics Co, Ltd) according to the manufacturer’s instructions. For the juvenile medaka, we checked their sex as previously reported, and two samples of the same sex were mixed and used as one sample. Total RNA samples were reverse transcribed by FastGene cDNA synthesis 5×ReadyMix OdT according to the manufacturer’s instructions. For the analyses of the brain, 1 μL of cDNA diluted with 10-fold MQ was mixed with KAPA SYBR Fast qPCR kit (Kapa Biosystems, Inc) and amplified with Lightcycler96 [Roche; 95℃ 150 s (95℃ 10 s, 60℃ 10 s, 72℃ 15 s)×45 cycles]. For the analysis of the pituitary, 1 μL of cDNA diluted with fivefold MQ was mixed with KAPA SYBR Fast qPCR kit and amplified with Lightcycler96 [Roche; 95℃ 150 s (95℃ 10 s, 60℃ 10 s, 72℃ 10 s)×45 cycles]. The data was normalized by housekeeping gene, ribosomal protein s13 (rps13). Primer sequences were as follows:

  • AgRP1 RT-PCR F1 CCAATTTCCAGTCACCGAAG

  • AgRP1 RT-PCR R1 CTGGGTCCAACACAGAATCA

  • AgRP2 RT-PCR F1 TTGTTGTGCTTCTTGCTGCT

  • AgRP2 RT-PCR R1 ACAGAGCTCCAAACGGTGTC

  • NPYa SE CTCATCACAAGACAGAGGTATGGG

  • NPYa AS GGGTTGTAACTTGACTGTGGAAGTG

  • NPYb SE CTGCCTGCTCCTCTGTTTTTTCTC

  • NPYb AS CACAGTGTCTGGGTTGTCTCTCTTTC

  • qPCR FSHb Fw new TGGAGATCTACAGGCGTCGGTAC

  • qPCR FSHb Rv new AGCTCTCCACAGGGATGCTG

  • qPCR LHb Fw new AGGGTATGTGACTGACGGATCCAC

  • qPCR LHb Rv new TGCCTTACCAAGGACCCCTTGATG

  • RPS13 SE GTGTTCCCACTTGGCTCAAGC

  • RPS13 AS CACCAATTTGAGAGGGAGTGAGAC

Sham operations, ovariectomy, and E2 administration

Ovariectomy and E2 administration were performed according to a previous study (Kayo et al., 2020). Briefly, reproductive female medaka were anesthetized with 0.02% MS-222 (Sigma-Aldrich, St. Louis, MO) and their ovaries were excised via intraperitoneal operation. Sham operation group was anesthetized, received an abdominal incision without removing the ovaries, and received skin suture by using a silk thread. After checking that all Sham females spawn, we prepared three tanks; two tanks contained 7–8 OVX medaka, and one tank contained Sham medaka in 2 L breeding water in it. We dissolved β-estradiol 1.4 mg in 1 mL EtOH (E2 stock) and dispensed 2 μL of E2 stock or the same amount of 100% ethanol for the control tank. Ethanol or E2-containing water were changed every day. After the steroid treatment for 5 days, the medaka were anesthetized, and their whole brains were collected for RT-qPCR analysis.

Generation of agrp1 KO medaka lines

We generated agrp1 KO medaka lines by using CRISPR/Cas9. Cas9 mRNA and tracer RNA were purchased from Integrated DNA Technologies (IDT, Coralville, IA). The guide RNA sequence for digestion by CRISPR/Cas9 complex was ‘CCTCACCAGCAGTCCTGCCTGG’.

Mixture of Cas9 protein, tracer RNA, CRISPR RNA, GFP mRNA diluted with PBS and 0.02% phenol red (final concentration: Cas9 protein; 500 ng/μL, tracer RNA; 100  ng/μL, CRISPR RNA; 50  ng/μL, GFP mRNA; 5  ng/μL) was injected into the cytoplasm of one- or two-cell-stage embryos (F0). To obtain homozygous transgenic offspring, the carriers were crossed with each other.

Measurement of body size and ovary size

We took photographs of fish bodies from the lateral side by using a digital camera MC120HD (Leica) and calculated the abdominal and body length using ImageJ. For the analysis of body length, we measured the length from the mouth to the base of the tail. GSI was calculated as ovary weight/ body weight * 100.

Immunohistochemistry using AgRP1 antibody

We made brain sections of WT and agrp1 KO as described in the ‘Histological analysis of the distribution of agrp- and npy-neurons in the brain’. After washing with PBST two times for 10 min, sections were incubated with AgRP1 antibody (1:1000; rabbit polyclonal AgRP [83-132] amide [human], Cat# H-003-53; RRID:AB_2313908, Phoenix Pharmaceutical, Burlingame, CA)/0% goat serum/PBS overnight. On the next day, slides were washed with PBST and incubated with anti-rabbit biotinylated goat antibody (1:200; Cat#BA-1000; Vector Laboratories, Burlingame, CA) for 1 h. Then we applied Alexa 488 conjugated streptavidin (1:500, Cat#S11223, Invitrogen) and DAPI (1:2000; Dojindo Laboratories, Kumamoto, Japan). Photographs were taken with a digital camera (Leica Microsystems) attached to an upright microscope (Leica Microsystems).

Statistics

For the statistical analysis, we used Kyplot 5.0 software (Kyence, Osaka, Japan) or R software (R Development Core Team, 2023) with RStudio (version 2023.06.0+421). For the comparison of the TPM, we used Student’s t-test. For the comparison of agrp1 and npyb expressions in OVX and E2-administrated medaka, Steel–Dwass test was used for multiple comparison of the expression level. In the other experiments, we used Mann–Whitney U test. In all statistical analysis, significance levels were described as follows: *p<0.05, **p<0.01, and ***p<0.001.

Code availability

The code of ‘Shrimp-counter’ system is available in the present study in Figure 1—source code 1.

Acknowledgements

We thank Drs. Mikoto Nakajo (Osaka Med and Pharm Univ), Soma Tomihara (Hiroshima Univ), and Kana Ikegami (Kitasato Univ) for helpful discussion. We also thank Dr. Daichi Kayo (Kyoto Univ.) for his kind supply of esr DIG-labeled probes. In addition, we deeply appreciate Dr. Hiroyuki Takeda (U Tokyo) for his continued kind support and encouragement during our experiments. We also thank Dr. Yutaka Miura (Tokyo Univ of Agri and Tech) for his kind support of our experiments. As for the help of animal care, we thank Ms. Hisako Kohno, Miho Kyokuwa, Hiroko Tsukamoto, and Risa Nakaba. We thank Ms. Maiko Matsuda (Vesper studio) for her kind gift of medaka illustrations to us. The present study was supported by JSPS KAKENHI (JP21J20864 and JP22KJ0597 to YT, JP26221104 and JP21K06262 to YO, JP20H03071 to CU), and MEXT Initiative for Realizing Diversity in the Research Environment (Leadership training for women) (CU).

Funding Statement

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Contributor Information

Chie Umatani, Email: chie@go.tuat.ac.jp.

Kristin Tessmar-Raible, University of Vienna, Austria.

Kate M Wassum, University of California, Los Angeles, United States.

Funding Information

This paper was supported by the following grants:

  • Japan Society for the Promotion of Science JP21J20864 to Yurika Tagui.

  • Japan Society for the Promotion of Science JP26221104 to Yoshitaka Oka.

  • Japan Society for the Promotion of Science JP20H03071 to Chie Umatani.

  • Ministry of Education, Culture, Sports, Science and Technology MEXT Initiative for Realizing Diversity in the Research Environment to Chie Umatani.

  • Japan Society for the Promotion of Science JP22KJ0597 to Yurika Tagui.

  • Japan Society for the Promotion of Science JP21K06262 to Yoshitaka Oka.

Additional information

Competing interests

No competing interests declared.

Author contributions

Conceptualization, Data curation, Funding acquisition, Validation, Investigation, Visualization, Methodology, Writing - original draft, Writing – review and editing.

Data curation, Validation, Investigation, Methodology.

Data curation, Validation, Investigation, Methodology.

Data curation, Validation, Investigation, Visualization.

Software, Methodology.

Software, Supervision, Funding acquisition, Investigation, Methodology, Writing – review and editing.

Resources, Supervision, Funding acquisition, Writing – review and editing.

Resources, Supervision, Funding acquisition, Writing – review and editing.

Conceptualization, Resources, Data curation, Formal analysis, Supervision, Funding acquisition, Validation, Investigation, Visualization, Methodology, Writing - original draft, Project administration, Writing – review and editing.

Ethics

All experiments and fish maintenance were conducted in accordance with the Guidelines for Proper Conduct of Animal Experiments (Science Council of Japan) and the protocols approved by the Animal Care and Use Committee of Graduate School of Science, the University of Tokyo (Permission number, 17-1, 20-6) and the Animal Care and Use Committee of Graduate School of Agriculture, Tokyo University of Agriculture and Technology (Permission number, R05-15, R06-27).

Additional files

MDAR checklist

Data availability

All data generated or analyzed during this study are included in the manuscript and supporting files; source data files have been provided for Figures 1–6.

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eLife Assessment

Kristin Tessmar-Raible 1

This article provides fundamental new insight into the mechanisms linking photoperiod, reproduction function, and feeding activity, using medaka, a genetic model that itself exhibits photoperiodic responses. As well as identifying key neuropeptide genes that are regulated by photoperiod and involved in regulating feeding activity, the authors establish a knockout line for agrp1 using CRISPR Cas9-based approach, profiting from the extensive use and development on this methodology in medaka. The combination of the RNAseq and quantitative in situ hybridization analysis with the knockout results as well as the study of ovariectomized fish provides compelling evidence implicating agrp1 in feeding regulation in response to photoperiod and reproductive status.

Reviewer #1 (Public review):

Anonymous

Summary:

The authors use the teleost medaka as an animal model to study the effect of seasonal changes in day-length on feeding behaviour and oocyte production. They report a careful analysis how day-length affects female medakas and a thorough molecular genetic analysis of genes potentially involved in this process. They show a detailed analysis of two genes and include a mutant analysis of one gene to support their conclusions

Strengths:

The authors pick their animal model well and exploit the possibilities to examine in this laboratory model the effect of a key environmental influence, namely the seasonal changes of day-length. The phenotypic changes are carefully analysed and well controlled. The mutational analysis of the agrp1 by a ko-mutant provides important evidence to support the conclusions. Thus this report exceeds previous findings on the function of agrp1 and npyb as regulators of food-intake and shows how in medaka these genes are involved in regulating the organismal response to an environmental change. It thus furthers our understanding on how animals react to key exogenous stimuli for adaptation.

Weaknesses:

The authors are too modest when it comes to underscoring the importance of their findings. Previous animal models used to study the effect of these neuropeptides on feeding behaviour have either lost or were most likely never sensitive to seasonal changes of day-length. Considering the key importance of this parameter on many aspects of plant and animal life it could be better emphasised that a suitable animal model is at hand that permits this.

The molecular characterization of the agrp1 ko-mutant that the authors have generated lacks some details that would help to appreciate the validity of the mutant phenotype. Additional data would help in this respect.

Comments on revisions:

The authors dealt adequately with the comments and suggestions of this reviewer.

Reviewer #2 (Public review):

Anonymous

Summary:

The authors investigated the mechanisms behind breeding season-dependent feeding behavior using medaka, a well-known photoperiodic species, as a model. Through a combination of molecular, cellular, and behavioral analyses, including tests with mutants, they concluded that AgRP1 plays a central role in feeding behavior, mediated by ovarian estrogenic signals.

Strengths:

This study offers valuable insights into the neuroendocrine mechanisms that govern breeding season-dependent feeding behavior in medaka. The multidisciplinary approach, which includes molecular and physiological analyses, enhances the scientific contribution of the research.

Comments on revised version:

My concerns from the first review have been addressed. The manuscript's key points are clearly presented, and the conclusions are readily comprehensible

Reviewer #3 (Public review):

Anonymous

Summary:

Understanding the mechanisms whereby animals restrict the timing of their reproduction according to day length is a critical challenge given that many of the most relevant species for agriculture are strongly photoperiodic. However, the principal animal models capable of detailed genetic analysis do not respond to photoperiod so this has inevitably limited progress in this field. The fish model medaka occupies a uniquely powerful position since it's reproduction is strictly restricted to long days and it also offers a wide range of genetic tools for exploring, in depth, various molecular and cellular control mechanisms.

For these reasons, this manuscript by Tagui and colleagues is particularly valuable. It uses the medaka to explore links bridging photoperiod, feeding behaviour and reproduction. The authors demonstrate that in female, but not male medaka, photoperiod-induced reproduction is associated with an increase in feeding, presumably explained by the high metabolic cost of producing eggs on a daily basis during the reproductive period. Using RNAseq analysis of the brain, they reveal that the expression of the neuropeptides agrp and npy that have been previously implicated in the regulation of feeding behaviour in mice, are upregulated in the medaka brain during exposure to long photoperiod conditions. Unlike the situation in mouse, these two neuropeptides are not coexpressed in medaka neurons and food deprivation in medaka led to increases in agrp but also a decrease in npy expression. Furthermore, the situation in fish may be more complicated than in mouse due to the presence of multiple gene paralogs for each neuropeptide. Exposure to long day conditions increases agrp1 expression in medaka as the result of increases in the number of neurons expressing this neuropeptide, while the increase in npyb levels results from increased levels of expression in the same population of cells. Using ovariectomized medaka and in situ hybridization assays, the authors reveal that the regulation of agrp1 involves estrogen acting via the estrogen receptor esr2a. Finally, a loss of agrp1 function mutant is generated where the female mutants fail to show the characteristic increase in feeding associated with long day enhanced reproduction as well as yielding reduced numbers of eggs during spawning.

Strengths:

This manuscript provides important foundational work for future investigations aiming to elucidate the coordination of photoperiod sensing, feeding activity and reproduction function. The authors have used a combination of approaches with a genetic model that is particularly well suited to studying photoperiodic dependent physiology and behaviour. The data are clear and the results are convincing and support the main conclusions drawn. The findings are relevant not only for understanding photopriodic responses but also provide more general insight into links between reproduction and feeding behaviour control.

The manuscript has been further strengthened by the inclusion of additional information according to my advice: The analysis of ovariectomized female fish and juvenille fish has now been reported in terms of their feeding behaviour and so provide a complete view of the position of this feeding regulatory mechanism in the context of reproduction status. Furthermore, the discussion section has been expanded to speculate on the functional significance of linking feeding behaviour control with reproductive function. Modifications made in order to address technical concerns of the other 2 reviewers have also significantly strengthened the presentation of this work.

Weaknesses:

These have now been addressed in the revised version.

eLife. 2025 May 29;13:RP100996. doi: 10.7554/eLife.100996.3.sa4

Author response

Yurika Tagui 1, Shingo Takeda 2, Hiroyo Waida 3, Shoichi Kitahara 4, Tomoki Kimura 5, Shinji Kanda 6, Yoshitaka Oka 7, Yu Hayashi 8, Chie Umatani 9

The following is the authors’ response to the original reviews

Public Reviews:

Reviewer #1 (Public review):

Summary:

The authors use the teleost medaka as an animal model to study the effect of seasonal changes in day-length on feeding behaviour and oocyte production. They report a careful analysis of how day-length affects female medakas and a thorough molecular genetic analysis of genes potentially involved in this process. They show a detailed analysis of two genes and include a mutant analysis of one gene to support their conclusions

Strengths:

The authors pick their animal model well and exploit the possibilities to examine in this laboratory model the effect of a key environmental influence, namely the seasonal changes of day-length. The phenotypic changes are carefully analysed and well-controlled. The mutational analysis of the agrp1 by a ko-mutant provides important evidence to support the conclusions. Thus this report exceeds previous findings on the function of agrp1 and npyb as regulators of food-intake and shows how in medaka these genes are involved in regulating the organismal response to an environmental change. It thus furthers our understanding of how animals react to key exogenous stimuli for adaptation.

Weaknesses:

The authors are too modest when it comes to underscoring the importance of their findings. Previous animal models used to study the effect of these neuropeptides on feeding behaviour have either lost or were most likely never sensitive to seasonal changes of day length. Considering the key importance of this parameter on many aspects of plant and animal life it could be better emphasised that a suitable animal model is at hand that permits this. The molecular characterization of the agrp1 ko-mutant that the authors have generated lacks some details that would help to appreciate the validity of the mutant phenotype. Additional data would help in this respect.

We would like to thank Reviewer #1 for the really constructive advice. In the revised manuscript, we provided more information on the molecular characterization of the agrp1 KO-mutant and to emphasize the importance of our present animal model that permits the analysis of neuropeptide effects on feeding behavior in response to seasonal changes of day length.

Reviewer #2 (Public review):

Summary:

The authors investigated the mechanisms behind breeding season-dependent feeding behavior using medaka, a well-known photoperiodic species, as a model. Through a combination of molecular, cellular, and behavioral analyses, including tests with mutants, they concluded that AgRP1 plays a central role in feeding behavior, mediated by ovarian estrogenic signals.

Strengths:

This study offers valuable insights into the neuroendocrine mechanisms that govern breeding season-dependent feeding behavior in medaka. The multidisciplinary approach, which includes molecular and physiological analyses, enhances the scientific contribution of the research.

Weaknesses:

While medaka is an appropriate model for studying seasonal breeding, the results presented are insufficient to fully support the authors' conclusions.

Specifically, methods and data analyses are incomplete in justifying the primary claims:

- the procedure for the food intake assay is unclear;

- the sample size is very small;

- the statistical analysis is not always adequate.

Additionally, the discussion fails to consider the possible role of other hormones that may be involved in the feeding mechanism.

We would like to thank Reviewer #2 for the helpful comments. As the reviewer suggested, we revised the paragraph describing the procedure for the food intake assay to make it much easier for the readers to understand in the revised manuscript. In Figure 1-Supplementary figure 2, RNAseq was performed to search for the candidate neuropeptides, and that’s why the sample size was the minimum. On the other hand, each group in the other experiments consist of n ≥ 5 samples, which is usually accepted to be adequate sample size in various studies (cf. Kanda et al., Gen Comp Endocrinol., 2011, Spicer et al., Biol Reprod., 2017). As for the statistical analyses, we revised our manuscript so that the readers may be convinced with the validity of our statistical analyses.

Reviewer #3 (Public review):

Summary:

Understanding the mechanisms whereby animals restrict the timing of their reproduction according to day length is a critical challenge given that many of the most relevant species for agriculture are strongly photoperiodic. However, the principal animal models capable of detailed genetic analysis do not respond to photoperiod so this has inevitably limited progress in this field. The fish model medaka occupies a uniquely powerful position since its reproduction is strictly restricted to long days and it also offers a wide range of genetic tools for exploring, in depth, various molecular and cellular control mechanisms.

For these reasons, this manuscript by Tagui and colleagues is particularly valuable. It uses the medaka to explore links bridging photoperiod, feeding behaviour, and reproduction. The authors demonstrate that in female, but not male medaka, photoperiod-induced reproduction is associated with an increase in feeding, presumably explained by the high metabolic cost of producing eggs on a daily basis during the reproductive period. Using RNAseq analysis of the brain, they reveal that the expression of the neuropeptides agrp and npy that have been previously implicated in the regulation of feeding behaviour in mice are upregulated in the medaka brain during exposure to long photoperiod conditions. Unlike the situation in mice, these two neuropeptides are not co-expressed in medaka neurons, and food deprivation in medaka led to increases in agrp but also a decrease in npy expression. Furthermore, the situation in fish may be more complicated than in mice due to the presence of multiple gene paralogs for each neuropeptide. Exposure to long-day conditions increases agrp1 expression in medaka as the result of increases in the number of neurons expressing this neuropeptide, while the increase in npyb levels results from increased levels of expression in the same population of cells. Using ovariectomized medaka and in situ hybridization assays, the authors reveal that the regulation of agrp1 involves estrogen acting via the estrogen receptor esr2a. Finally, a loss of agrp1 function mutant is generated where the female mutants fail to show the characteristic increase in feeding associated with long-day enhanced reproduction as well as yielding reduced numbers of eggs during spawning.

Strengths:

This manuscript provides important foundational work for future investigations aiming to elucidate the coordination of photoperiod sensing, feeding activity, and reproduction function. The authors have used a combination of approaches with a genetic model that is particularly well suited to studying photoperiodic-dependent physiology and behaviour. The data are clear and the results are convincing and support the main conclusions drawn. The findings are relevant not only for understanding photopriodic responses but also provide more general insight into links between reproduction and feeding behaviour control.

Weaknesses:

Some experimental models used in this study, namely ovariectomized female fish and juvenile fish have not been analysed in terms of their feeding behaviour and so do not give a complete view of the position of this feeding regulatory mechanism in the context of reproduction status. Furthermore, the scope of the discussion section should be expanded to speculate on the functional significance of linking feeding behaviour control with reproductive function.

We would like to thank Reviewer #3 for the insightful advice. We added several pertinent sentences describing the ovariectomized female fish and juvenile fish, and our revised manuscript will give more complete view of their feeding regulatory mechanism in the context of reproduction status. In addition, we revised the discussion section to incorporate the valuable suggestion of the Reviewer #3.

Recommendations for the authors:

Reviewer #1 (Recommendations for the authors):

General: the text could profit from a careful editing of errors, including adjusting singular and plural status of nouns and verbs: examples are line 107 noun, line 96 verb suitable text editing software is available to do this task

Thank you for your suggestion. We thoroughly read the entire manuscript and corrected such errors in the revised manuscript.

As medaka is a unique genetic vertebrate model to study seasonal effects, it would be interesting to know whether the authors found novel or rather unexpected genes with a differential expression between LD and SD. It is understandable that the authors focused on argrp1 and npyb, as these have already been well studied in mammalian models although not in this context. Novel insights with genes previously not implicated in feeding regulation could underscore the unique nature of medaka as a model.

We appreciate your kind comments, which we found really encouraging to us. Since we focused on feeding-related peptides, we did not find any novel genes that have not been reported.

ISH is unreliable as a methodology to quantify expression levels. Yet the authors use this to compare fed and starved females to compare expression levels of agrp1. They use a temporal staining comparison and compare 90-minute and 300-minute staining reactions. However, they do not explain why they use the 90-minute staining time point and why 300 minutes of staining is the "saturation point of staining". They should provide compelling data for their claim and the selection of time points or else refrain from using these (at best) semi-quantitative ISH and provide more detailed (using serial sections) data to quantify the number of expressing cells.

Anyhow, the quantification of mRNA expression levels may not be that significant when trying to compare different states of gene function, as translational and post-translational steps can have large effects on gene function. This should be discussed adequately.

Thank you very much for your comments. We conducted ISH by using medaka under LD or SD, not using those under fed or starved conditions. In addition, our previous study demonstrated that the slopes of the increase in the number of cells stained by ISH are also different if there is a difference in the expression level (Mitani et al., 2010). Although we do not have quantitative data of cell numbers, we confirmed that the number of cells expressing agrp1 was saturated around 300 mins in our preliminary experiments, and therefore we terminated the chemogenic reactions at 300 mins. Based on these, we compared the cell ratio of 90 min (beginning of coloring) /300 min (saturation). However, since this analysis may not be worth discussing in detail, we moved this part to the supplementary figure as the reviewer suggested.

The molecular characterization of the agrp1 ko mutant is a bit thin.

Line 221: "We obtained agrp1−/− medaka, which has lots of amino acid changes in functional site for AgRP1" is a bit vague as a description for the ko-mutation. It would be really helpful if the authors could provide a scheme showing the wt protein with the relevant functional sites alongside the presumptive mutant protein.

How did the authors verify the molecular nature of their mutation? They should use suitable antibodies and western-blot analysis (maybe reagents from Shainer et al., 2019 work in medaka); in case this is not possible they could isolate & clone the mutant transcript and use in-vitro translation systems to show that the presumptive mutant protein can actually be translated from this transcript. Another strategy could be to use a second non-allelic and (hopefully) non-complementing mutation (ko1/ko2 heterozygots for example) to show that ko-mutation acts the way the authors presume. The authors mention agrp1 ko medaka lines (plural!) in line 520, thus they may have an additional ko allele at hand.

Thank you very much for your comments. We explained the mutation site in Figure 6-Supplementary Figure 1 (A: DNA sequences and B: predicted amino acid sequence, of WT and mutants). In addition, we added immunohistochemistry data of WT and mutant using anti-AgRP antibody (Figure 6-Supplementary Figure 1C). While AgRP-immunoreactive signals were observed in WT, those were not in agrp1−/−. This result suggests that AgRP1 is not functional in agrp1−/−.

Presumably, the authors analysed heterozygous agrp1+/− females and found they are as wt. If so the authors should say so.

Yes, we analyzed food intake of agrp1+/−. We added a supplementary figure (Figure 6-Supplementary Figure 2) and a sentence in L. 233-234.

How about agrp1−/− medaka males: do they show a discernible phenotype?

We analyzed the phenotypes of agrp1−/− males but did not describe the results, since the present paper only focused on female-specific feeding behavior.

agrp1−/− females show no significant sensitivity of food intake to day length (Figure 6C). Does their (reduced) oocyte production react to day length? With other words: how much of the seasonal sensitivity is left in agrp1−/− females. The authors suggest that E2 acts upstream of agrp1 and therefore some seasonality may still be left in agrp1−/− females.

Although agrp1−/− female is suggested to display abnormal seasonality of food intake, agrp1−/− female in LD spawns and that in SD does not, indicating that seasonality of gonadal maturation still remains in agrp1−/− female.

The authors show that fshb and lhb are downregulated in agrp1−/− females. Is this also the case in wt females at SD?

Thank you very much for your comment. As described above, agrp1−/− can spawn, which indicates that mechanisms for the downregulation of gonadotropins in agrp1−/− may be different from that in SD female.

Figure 1_Supplementary Figure 2: the trends are visible in B and C, however, there is quite some variance between LD1, 2, and 3; the same for SD 1, 2, and 3. Can the authors give an explanation for this?

Since the data for LD1, 2, and 3 (SD1, 2, and 3) were obtained from different individual fish, the variance may be reasonable. We conducted expression analyses by using RNA-seq to find candidate genes that show larger differences than individual ones.

Figure 7E: the ovaries are difficult to see and the size bar in the wt picture is missing.

Thank you very much for your comments. We added a scale bar in the wt picture.

509 ff: the authors do not describe what exactly the "sham operation" encompasses: were the females just anesthetised or was there an actual operation without removing the ovaries?

The sham operation group was anesthetized, received an abdominal incision without removing the ovaries, and received skin suture by using a silk thread. We added this explanation in the Method section.

519 ff: was the agrp1−/− ko induced in the d-rR strain to have the same genetic background as the wt fish?

Exactly. As the reviewer pointed out, the genetic background of agrp1 -/- was the same as that of WT.

Minor points (Text edits):

Line 42: change "when" into "where".

Line: 54 "under the fixed appropriate ambient temperature" change into "while keeping an appropriate temperature constant".

Line 55: here it would be good to briefly explain what long-day and short-day is so that the reader has an idea about the changes required without having to scroll down to the M&M section. For example LD 14/10 light-dark cycle, SD 10/14 light-dark cycle.

Line 88: change "measurement" into "measuring".

Line 96 change eats -> eat.

Line 107 change female -> females.

We deeply appreciate the reviewer’s suggestions described above. We corrected them as the reviewer suggested (L. 42, L. 54, L. 55, L. 89, L. 96, L. 107).

Line 144-145: the sentence "since hypothalamic npy control..." does not make sense. Please correct.

Thank you very much for your suggestion. We corrected the sentence so that it makes sense (L. 145-146).

Line 180 and 185: the term here should be "LD induced sexual activity" rather than maturity. Age is the main determinant of maturity whereas light (LD) determines activity, in other words SD females are sexually mature if they are post-puberty stage.

Thank you very much for your suggestion. Since the sentence “LD-induced sexual maturity” made the reviewer confused, we corrected the sentence “substance(s) from LD-induced mature ovary” or “ovarian maturity”. Even though SD females are at post-puberty stage, their ovaries are immature and do not possess mature oocytes (L. 181).

Line 222: the authors should include the relevant information about the females: presumably agrp1.

In Line 226-228, we explained the phenotypes of agrp1 knockout and added information for AgRP1 protein in Figure 6-Supplementary figure 1C.

Lines 449 ff: authors should state that the analysis was done in females, instead of just writing "medaka". This is also in line with the preceding paragraph of the M&M section.

Thank you very much for your suggestions. We corrected the sentence as the reviewer suggested (L.469)

Line 305: change like other mammals -> like in mammals.

Thank you very much for your suggestion. We corrected the sentence as the reviewer suggested (L. 320)

Reviewer #2 (Recommendations for the authors):

(1) The procedure of the food intake assay is not clear.

- Habituation Period: Medaka were placed into a white cup containing 100 mL of water and allowed to habituate for 5 minutes. However, is 5 minutes sufficient to reduce stress in the fish? A stressed fish does not exhibit the same feeding behavior as an unstressed one.

Thank you for your comment. We confirmed that 5 minutes is enough for habituation in medaka, since medaka can swim freely in a few minutes after replacement from the tank and show normal feeding behavior.

- Feeding Protocol: Medaka were fed with 200 μL aliquots of brine shrimp-containing water. This procedure was repeated multiple times. How many times was this feeding procedure repeated? Was it 3, 10, or 100 times?

Although there was a small variation in each trial, we usually applied tubes about 5 times or so.

- Brine Shrimp Counting: You collected 10 mL of the breeding water to count the number of uneaten brine shrimp. Can you confirm that sampling 10% of the total volume is representative? Were any tests conducted to validate this? Given that you developed an automated tool to count the brine shrimp, why didn't you count them in all 100 mL?

The reason for collecting 10 mL is to collect the leftover shrimp as soon as possible. Ten mins after the start of the experiment, we quickly placed a magnetic bar to stir the breeding water so that the shrimp concentration will be constant. Then we collected 10 mL aliquot from the experimental cup by using a micro pipette. In preliminary trials, we applied shrimps, the amount of which is almost the same as that applied to WT medaka in LD, to a white cup containing 100 mL water, and we divided it into 10 mL and 90 mL aliquots and separately counted the number of shrimps in each aliquot. Here, we confirmed that the variance between the numbers calculated by counting the shrimps in 10 mL aliquot and the total volume of 100 mL falls within the range of the variance of total applied shrimp. Thus, our present counting method can be considered reasonable.

- Brine Shrimp Aliquot Measurement: You mentioned counting the number of brine shrimp in the 200 μL solution three times before and after the experiments. What does this mean? Did you use this procedure to calculate the mean number of brine shrimp in each 200 μL aliquot?

Thank you for your comment. As the reviewer commented, to calculate the mean number of brine shrimp in each 200 µL aliquot, we counted the number of brine shrimp in the 200 µL solution three times before and after the experiments.

- How did you normalize the food intake data? This procedure is not detailed in the methods section.

Thank you very much for pointing it out. We normalized food intake by subtracting the amount of shrimp by the average of those in LD or WT fish. This explanation was added in the Method section (L. 439).

(2) Sample Size. Various tests were conducted with a low number of medaka (e.g., 2 brains for RNA-seq, 8 females for ovariectomy). Are these sample sizes sufficient to draw reliable conclusions?

In Figure 1-Supplementary figure 2, RNAseq was performed to search for the candidate neuropeptides, and that’s why the sample size was the minimum; we pooled two brains as one sample and used three samples per group. On the other hand, each group in the other experiments consist of n ≥ 5 samples, which is usually accepted to be adequate sample size in various studies (cf. Kanda et al., Gen Comp Endocrinol., 2011, Spicer et al., Biol Reprod., 2017).

(3) Statistical Analysis.

- The authors used both parametric and non-parametric tests but did not specify how they assessed the normal distribution of the data. For example, if I understood correctly, a t-test was used to compare a small dataset (n=3). In such cases, a U-test would be more appropriate.

Thank you for your comment. As for Figure 1 -Supplementary Figure 2C, we showed the graphs just to show you candidates. To avoid misunderstanding, we deleted statistical statements in that panel.

- It is unclear why the Steel-Dwass test was used instead of the Kruskal-Wallis test for comparing agrp1 and npyb expressions in control, OVX, and E2-administered medaka.

While the authors mentioned using non-parametric tests, they did not specify in which contexts or conditions they were applied.

Thank you very much for your comment. Kruskal-Wallis test statistically shows whether or not there are differences among any of three groups. To perform multiple comparisons among the three groups, we used Steel-Dwass test.

- The results section lacks details on the statistical tests used, including the specific test (e.g., Z, U, or W values) and degrees of freedom.

Thank you for your comment. As the reviewer pointed out, we added such statements in all the figure legends containing statistics.

(4) Previous studies have shown that photoperiod treatments alter the production of various hormones in medaka (e.g., Lucon-Xiccato et al., 2022; Shimmura et al., 2017), some of which, like growth hormone (GH), have been shown to influence feeding behavior (Canosa et al., 2007).

In your RNA-seq analysis, did you observe any changes in the expression of genes involved in other hormone synthesis pathways, such as pituitary hormones (GH and TSH), leptin, or ghrelin (e.g., see Volkoff, 2016; Blanco, 2020; Bertolucci et al., 2019)?

Including such evidence in the discussion would provide a broader perspective on the hormonal regulation of food intake in medaka.

We appreciate your constructive comments. Unfortunately, since we performed RNA-seq using the whole brain after removal of the pituitary, we could not check such changes in the expression of pituitary hormone-related genes. As additional information about the feeding-related hormones, leptin did not show significant difference in our RNA-seq analysis, and we could not analyze ghrelin because ghrelin has not been annotated in medaka (NCBI and ensembl).

Reviewer #3 (Recommendations for the authors):

There are some parts of the study that need to be developed further in order to provide a more comprehensive analysis.

(1) In the juvenile as well as ovariectomized female fish, the authors should confirm experimentally whether day length influences feeding activity.

Thank you very much for your suggestion. We analyzed feeding behavior of juvenile (Figure 4-Supplementary Figure 1) and OVX female (Figure 5-Supplementary Figure 1). As shown in these figures, food intake in juvenile and OVX were not significantly different between LD and SD.

(2) More discussion as to the relevance of increasing feeding activity to support reproductive functions such as sustained egg production would be valuable. One assumes the metabolic costs of producing eggs on a daily basis in this species would inevitably require increased food intake. Is this a reasonable prediction?

We deeply appreciate your suggestion. We strongly agree with this argument, and we added such discussion in “Discussion” section (L. 406-408).

Editor's note:

Should you choose to revise your manuscript, if you have not already done so, please include full statistical reporting including exact p-values wherever possible alongside the summary statistics (test statistic and df) and 95% confidence intervals. These should be reported for all key questions and not only when the p-value is less than 0.05 in the main manuscript.

We appreciate the editor’s suggestion. We added P-value in the main manuscript, where statistical analyses were performed. In addition, we described test statics in the figure legends. We did not use df values for the statistics used in the present analyses, and therefore did not describe it in the main text.

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    Figure 1—source code 1. The code of ‘Shrimp-counter’ system.
    Figure 1—source data 1. The numerical data for Figure 1.
    Figure 1—figure supplement 2—source data 1. The numerical data for Figure 1—figure supplement 2.
    Figure 2—source data 1. The numerical data for Figure 2.
    Figure 2—figure supplement 1—source data 1. The numerical data for Figure 2—figure supplement 1.
    Figure 3—source data 1. The numerical data for Figure 3.
    Figure 3—figure supplement 1—source data 1. The numerical data for Figure 3—figure supplement 1.
    Figure 4—source data 1. The numerical data for Figure 4.
    Figure 4—figure supplement 1—source data 1. The numerical data for Figure 4—figure supplement 1.
    Figure 5—source data 1. The numerical data for Figure 5.
    Figure 5—figure supplement 1—source data 1. The numerical data for Figure 5—figure supplement 1.
    Figure 6—source data 1. The numerical data for Figure 6.
    Figure 6—figure supplement 2—source data 1. The numerical data for Figure 6—figure supplement 2.
    MDAR checklist

    Data Availability Statement

    All data generated or analyzed during this study are included in the manuscript and supporting files; source data files have been provided for Figures 1–6.


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