Skip to main content
Download PDF

miR-330 targeting BCO2 is involved in carotenoid metabolism to regulate skin pigmentation in rainbow trout (Oncorhynchus mykiss)

BMC Genomics volume 24, Article number: 124 (2023) Cite this article

Abstract

Background

MicroRNAs (miRNAs) play a critical role in regulating skin pigmentation. As a key economic trait, skin color directly affects the market value of rainbow trout (Oncorhynchus mykiss), however, the regulatory mechanism of most miRNAs in fish skin color is still unclear.

Results

In this study, the full-length cDNA sequence of β-carotene oxygenase 2 (BCO2, a key regulator of carotenoid metabolism) from the rainbow trout was obtained using rapid-amplification of cDNA ends (RACE) technology, and qRT-PCR was used to investigate the differential expression of miR-330 and BCO2 in 14 developmental stages and 13 tissues between wild-type rainbow trout (WTrt) and yellow mutant rainbow trout (YMrt). Additionally, the function of miR-330 was verified by overexpression and silencing in vitro and in vivo. The results showed that the complete cDNA sequence of BCO2 was 2057 bp with a 1707 bp ORF, encoding a 568 amino acid protein having a molecular weight of 64.07 kD. Sequence alignment revealed that higher conservation of BCO2 protein amongst fishes than amongst other vertebrates, which was further confirmed by phylogenetic analysis. The analysis of spatial and temporal expression patterns suggested that BCO2 and miR-330 were abundantly expressed from fertilized-stage to multi-cell as well as in the dorsal and ventral skin of WTrt and YMrt, and their expression patterns were opposite in most of the same periods and tissues. In vitro, luciferase reporter assay confirmed that BCO2 was a direct target of miR-330, and transfection of miR-330 mimics into rainbow trout liver cells resulted in a decrease in the expression of BCO2; conversely, miR-330 inhibitor had the opposite effect to the miR-330 mimics. In vivo, miR-330 agomir significantly decreased BCO2 expression in dorsal skin, tail fin, and liver. Furthermore, overexpression of miR-330 could suppress cell proliferation and induce apoptosis.

Conclusion

Our results showed that miR-330 is involved in the regulation of skin pigmentation in rainbow trout by targeting BCO2 and shows its promise as a potential molecular target to assist the selection of rainbow trout with better skin color patterns.

Peer Review reports

Introduction

The coloration of fish is one of the most significant quality characteristics dictating the market acceptance and price for human consumption and ornamental use, and it is generally considered to depend on the type and number of chromatophores included in the epidermis and in the dermis [1]. In comparison with mammals, where only one pigment cell type is present, six types of pigment cells (i.e. melanophores, xanthophores, erythrophores, iridophores, leucophores, and cyanophores) have been identified in fish skin, which provides excellent materials for the study of biological development and evolutionary applications [2]. Extensive studies have illustrated that the formation of skin color pattern is controlled by a series of complex and well-balanced programs of gene activation and silencing [3]. Within this pigmentation system, there are multiple layers of molecular regulation, and the ability of microRNAs (miRNAs) to achieve sequence-specific regulation of gene function could obviously prove to be of major functional importance [4].

MiRNAs, defined as transcripts approximately 22 nucleotides in length and lacking protein-coding capacity, negatively regulate target genes through binding to the 3′-untranslated region (3'-UTR) of mRNAs in the transcriptional or post-transcriptional level [5]. In mammals, over 60% of mRNAs are thought to be regulated by miRNAs [6]. Since their initial discovery in the 1993, miRNAs have been successively proven to participate in various biological processes, including cell development, differentiation, cell proliferation, and apoptosis [7]. In recent years, miRNAs have also been suggested to perform a critical role in regulating skin pigmentation. For example, overexpression of miR-508-3p in Lama glama (Alpacas) caused a decrease in melanin production by downregulating microphtalmia-associated transcription factor (MITF) [8]. MiR-206 was reported to be involved in skin pigmentation of koi carp (Cyprinus carpio L.), and its silencing in vivo could suppress the transcription level of melanocortin 1 receptor (MC1R) and its downstream genes [9]. Similarly, in common carp, miR-429 downregulation in vivo led to a substantial change in skin melanin content via directly targeting forkhead box D3 (FOXD3) [10]. In our previous study, we studied the miRNA expression profiles of rainbow trout (Oncorhynchus mykiss) with black skin (wild-type rainbow trout, WTrt) vs. yellow skin (yellow mutant rainbow trout, YMrt), and found that miR-330 was expressed differentially; in addition, the results of target genes prediction analysis via three bioinformatics software showed that miR-330 binds to the 3'-UTR of β-carotene oxygenase 2 (BCO2), suggesting that miR-330 may be a key regulator of skin pigmentation in rainbow trout [11].

Yellow and red hues, given by the storage of carotenoids in skin or muscle, are important for commercial fish species, such as rainbow trout, koi carp, and Atlantic salmon (Salmo salar) [12]. BCO2 encodes a carotenoid-cleavage enzyme that mediates the asymmetrical cleavage of carotenoids from the diet to prevent excessive deposition of carotenoids in the body, in other words, BCO2 expression level is closely related to tissue-specific yellow phenotype [13]. Based on the results of our previous study, we found that BCO2 plays an important role in the formation of rainbow trout yellow skin color [11, 14]. Accordingly, it is necessary to further verify whether miR-330 has a regulatory function on BCO2.

Rainbow trout, a key economic freshwater fish throughout the world, is widely accepted by consumers. As a mutant species, YMrt has the phenomenon of skin color variation in the long-term intensive farming process, which seriously restricts the healthy development of aquaculture. However, to date, researches on rainbow trout skin color have been limited to expression patterns analysis and pigment cells observation [15, 16], and the specific regulation mechanism of key skin color related genes or miRNAs are barely understood. As an essential regulator of yellow skin, the post-transcriptional regulatory mechanism of BCO2 at the miRNA level was further investigated in this study. Firstly, the full-length cDNA sequence of BCO2 was obtained by rapid-amplification of cDNA ends (RACE) technique, and expression patterns of miR-330 and BCO2 in different developmental stages and tissues between WTrt and YMrt were characterized by quantitative real-time PCR (qRT-PCR). Then, we used luciferase reporter assay to study the regulatory effect between miR-330 and BCO2, and the effects of miR-330 on BCO2 expression, cell proliferation, and apoptosis were observed by overexpression and inhibition of miR-330 in liver cells. Finally, we overexpressed miR-330 in vivo with agomir to further verify the function. The findings demonstrated the negative regulation of miR-330 on BCO2, which provide more information on the function of miRNAs in regulating fish skin color and suggest a molecular basis for breeding with skin color as the target trait.

Results

Sequence analysis of BCO2 cDNA

The full-length cDNA sequence of BCO2 (GenBank accession number: OQ053250) was assembled as a 2057 bp and contained a 1707 bp open reading frame (ORF), which contained a 91 bp 5′-UTR and a 259 bp 3′-UTR, encoding a total of 568 amino acids and polyadenylation signal sequence (AATAAA) was found in the 3′-UTR (Fig. 1). Protparam analysis showed BCO2 corresponds to a molecular mass of 64.07 kD (molecular formula: C2875H4417N763O850S25), with a theoretical pI of 6.84 and grand average of hydropathicity of –0.476, suggesting that BCO2 is a hydrophilic protein. Protscale analysis showed the highest hydrophilicity (hydrophobic parameter: –3.367) was lysine (K) at position 14, and the highest hydrophobicity (hydrophobic parameter: 2.400) was serine (S) at position 507. Further bioinformatical analyses indicated that the RPE65 domain was found in polypeptide of BCO2 (residues 31–550), which belonged to a non-transmembrane protein. The predicted secondary structure revealed that BCO2 included random coils (57.04%), extended strands (21.30%), α-helices (17.08%), and β-turns (4.58%) (Fig. 2A). From tertiary structure, it can be clearly seen that BCO2 protein was also mainly composed of random coils and extended strands (Fig. 2B).

Fig. 1
figure 1

The full-length cDNA and deduced amino-acid sequences of β-carotene oxygenase 2 (BCO2) in rainbow trout. Boxes represent start codon (ATG) and stop codon (TAA). * Means no amino acid is encoded

Full size image
Fig. 2
figure 2

Predicted second and tertiary structures of BCO2 protein in rainbow trout. A Second structure. B Tertiary structure. c, random coils; e, extended strands; h, α-helices; t, β-turns

Full size image

Comparison of BCO2 proteins and phylogenetic tree construction

To analyze the similarity of amino acid sequences of BCO2 protein among different species, we compared the amino acid sequences of rainbow trout BCO2 with those of other vertebrates BCO2. The results showed that the deduced amino acid sequence of BCO2 in rainbow trout shared the highest homology with Salmo salar BCO2 (98.01%, NP_001266006.1), and there is 76.52–79.70% homology with BCO2 of Carassius auratus (XP_026138906.1), Oreochromis niloticus (XP_013131987.2), and Larimichthys crocea (XP_010727865.2), 54.17–61.48% homology with BCO2 of Xenopus tropicalis (XP_031760855.1), Homo sapiens (NP_001032367.3), Ovis aries (NP_001152750.2), Mus musculus (NP_573480.1), and Gallus gallus (XP_004948199.2) (Fig. 3).

Fig. 3
figure 3

Multiple alignments of BCO2 amino acid sequences in rainbow trout with those of other vertebrates. Grey represents amino acid sequences with high similarity. Black indicates the same amino acid sequences

Full size image

To evaluate the molecular evolutionary relationships of BCO2, a phylogenetic tree based on the protein sequences was constructed by maximum likelihood algorithm (Fig. 4). In general, species from the same taxonomic status were clustered together and formed a separated subgroup. As shown in the result, BCO2 of rainbow trout is clustered first with BCO2 from Salmo salar, then formed a sister group with those of other fishes, and further with those of amphibian, poultry, and mammals.

Fig. 4
figure 4

Phylogenetic tree generated using maximum likelihood algorithm from the BCO2 amino acid sequences of rainbow trout and other vertebrates. Numbers at the nodes indicate bootstrap values. Scale bar below the tree measures evolutionary distances in substitutions per site

Full size image

Expression patterns analysis of BCO2 and miR-330 in different developmental stages and tissues between WTrt and YMrt

To gain insight into the role of BCO2 and miR-330 in skin pigmentation of WTrt and YMrt, it is essential to have precise information on their temporal and spatial expression patterns. In 14 different development stages, the results indicated that the expression of both BCO2 and miR-330 were mainly concentrated in fertilized-stage to multi-cell, and their expression patterns were opposite in these four stages (Fig. 5A and B). In addition, except for 4-cell and somites, the expression level of BCO2 was higher in WTrt than in YMrt in other same stages, and most of them have significant differences (P < 0.05), including fertilized-stage, 16-cell, multi-cell, blastula, gastrula, neurula, 10 days post hatching (10 dph), 1 month post hatching (1 mph), and 2 mph. In 13 various tissues, the highest expression level of BCO2 in WTrt and YMrt were detected in the intestine and ventral skin, respectively, whose expression was significantly higher than other tissues (P < 0.05) (Fig. 5C). For miR-330, a higher expression level was found in the dorsal muscle and liver of WTrt and YMrt, and relative expression in other tissues were comparable (Fig. 5D). Moreover, the expression patterns of BCO2 and miR-330 in dorsal skin, ventral skin, dorsal muscle, ventral muscle, eye, gill, midkidney, and heart were opposite between WTrt and YMrt. Given those results, we speculated that miR-330 is a potential regulator of the pigmentation process in rainbow trout.

Fig. 5
figure 5

Expression profiles of BCO2 and miR-330 in wild-type rainbow trout (WTrt) and yellow mutant rainbow trout (YMrt). A and B Expression patterns of BCO2 and miR-330 at different developmental stages. (C and D) Expression patterns of BCO2 and miR-330 in different tissues. 1: Fertilized-stage; 2: 4-cell; 3: 16-cell; 4: Multi-cell; 5: Blastula; 6: Gastrula; 7: Neurula; 8: Somites; 9: Heartbeating; 10: 1 day post hatching (1 dph); 11: 10 dph; 12: 1 month post hatching (1 mph); 13: 2 mph; 14: 3 mph. Ds: Dorsal skin; Vs: Ventral skin; Dm: Dorsal muscle; Vm: Ventral muscle; Br: Brain; E: Eye; Gi: Gill; Mk: Midkidney; Hk: Headkidney; In: Intestine; Li: Liver; Sp: Spleen; He: Heart. Reference gene: β-actin and U6; n = 3 different independent samples. Capital alphabet superscripts were used to indicate the differences within WTrt, and lowercase alphabet superscripts were used to indicate the differences within YMrt, different letters represent significant difference (P < 0.05) (one-way ANOVA). The difference analysis in the same developmental stage or tissue between WTrt and YMrt is indicated by * and **, *: P < 0.05, **: P < 0.01 (student’s t-test)

Full size image

MiR-330 directly targeted BCO2

To reveal the potential mechanism of miR-330 during skin pigmentation in rainbow trout, several online analysis tools were used to predict the targets of miR-330 and found that a potential binding site were located from 1971 to 1977 nt (5′…TGCTTTG…3′) in the 3′-UTR region of BCO2, which was matched miR-330 seed sequence (5′…CAAAGCA…3′). As shown in Fig. 6A, luciferase reporter assay showed that the luciferase activity of HEK293T cells was significantly reduced (P < 0.01) after co-transfection with miR-330 mimics and BCO2-wild-type receptor vectors (BCO2-WT) compared with mimics negative control (NC), while the luciferase activity of HEK293T cells that were transfected with BCO2-mutant receptor vectors (BCO2-MUT) was not affected by miR-330 mimics, suggesting BCO2 is a direct target of miR-330.

Fig. 6
figure 6

MiR-330 negatively regulated BCO2 expression. A Dual-luciferase analysis of miR-330 mimics/mimics NC co-transfected with either BCO2-WT or BCO2-MUT into HEK293T cells. B and C The expression of miR-330 and BCO2 in rainbow trout liver cells after transfection with miR-330 mimics and miR-330 inhibitor. D and E The effect of miR-330 agomir on the expression of miR-330 and BCO2 in dorsal skin (Ds), tail fin (Tf), and liver (Li). The different lowercase letters above the bars represent significant differences (P < 0.05); *: P < 0.05, **: P < 0.01, ns: P > 0.05

Full size image

MiR-330 negatively regulated BCO2 expression in liver cells

To further explore the underlying regulation mechanism of miR-330 on BCO2, we treated liver cells with miR-330 mimics, miR-330 inhibitor, and their corresponding NC. According to the qRT-PCR results, the relative expression of miR-330 in mimics group reached nearly 15 times in contrast with other groups, while BCO2 expression level was significantly reduced (P < 0.01) (Fig. 6B and C). Conversely, miR-330 inhibitor resulted in contradictory outcomes (P < 0.05) compared with inhibitor NC group (Fig. 6C). The results suggested that miR-330 and BCO2 were negatively correlated.

MiR-330 restrained liver cells proliferation

Having confirmed the interaction of miR-330 and BCO2, we next sought to explore the biological role of miR-330 in liver cells. CCK-8 assay revealed that the viability of liver cells declined remarkably in miR-330 mimics group (P < 0.05), whereas the viability enhanced in miR-330 inhibitor group (P > 0.05) (Fig. 7A). Meanwhile, cell proliferation was estimated through EdU staining, and the results were consistent with CCK-8 assay (Fig. 7B and C). In other words, miR-330 substantially suppressed the proliferation of liver cells.

Fig.7
figure 7

The effect of miR-330 on cell viability and proliferation of rainbow trout liver cells. A The viability of liver cells using CCK-8 assay after miR-330 mimics and miR-330 inhibitor were transfected into liver cells. B and C Percentage of EdU-positive cells of liver cells (red and yellow) after miR-330 mimics and miR-330 inhibitor treatment by EdU staining (20 ×). *: P < 0.05, ns: P > 0.05

Full size image

MiR-330 induced liver cells apoptosis

To investigate whether the anti-proliferative activity of miR-330 was correlated with an apoptotic effect, flow cytometry was then carried out to detect the impact of miR-330 on the number of apoptotic cells in each group. As shown in Fig. 8A–D, the apoptosis rate of liver cells rose dramatically in miR-330 mimics group (P < 0.01), but declined in miR-330 inhibitor group (P > 0.05), indicating that miR-330 had a positive effect on liver cells apoptosis.

Fig. 8
figure 8

Rainbow trout liver cells apoptosis was controlled by the change of miR-330 expression. A and B Cell apoptosis rate of liver cells after overexpression of miR-330. C and D Cell apoptosis rate of liver cells after inhibition of miR-330. Cell apoptosis rate (%) indicates the sum of early and late apoptotic cells ratio (Q1-LR + Q1-UR). **: P < 0.01, ns: P > 0.05

Full size image

Effect of miR-330 agomir on the expression of BCO2 in vivo

After explaining the regulatory relationship between miR-330 and BCO2 in vitro, we further verified the regulatory relationship between miR-330 and BCO2 in vivo by agomir. As expected, the results showed that the expression level of BCO2 was down-regulated to varying degrees in dorsal skin, tail fin, and liver of fish with a significant increase in the expression of miR-330 after treated with agomiR-330 (Fig. 6D and E).

Discussion

Rainbow trout, an important cold-water economic fish, is becoming increasingly popular for aquaculture production in China in recent years. Skin color is a key economic trait for this species, as it has a strong impact on quality and market value when rainbow trout are marketed. In addition to the direct influence of genes, other regulators, such as miRNAs, are reported to play crucial roles in fish skin color via regulating the expression of key genes in specific pigment synthesis pathways [9, 10]. In our previous study, although 275 differentially expressed miRNAs were identified in skin between WTrt and YMrt, the specific regulatory mechanism of miRNAs underlying rainbow trout skin pigmentation has not yet been elucidated. The aim of the current study was to investigate the regulatory function of miR-330 on BCO2 by in vitro and in vivo experiments. Understanding the effects of miRNAs on regulating rainbow trout skin color can provide a molecular basis for breeding with skin color as the target trait.

Chromatophores of fish emanate from neural crest cells during embryonic development, and then differentiate into various pigment cell types under the action of cell type specific genes expression [17, 18]. Thus, analysis of expression patterns of key genes at different developmental stages is essential to understand the skin pigmentation. Unlike most genes, the way of BCO2 involving in skin color regulation is to catalyze the oxidative cleavage of yellow carotenoids acquired from the diet into colorless apocarotenoids; besides, the expression level of BCO2 is negatively corrected with yellow phenotype [19, 20]. Several studies have shown that mutations in BCO2 gene had significant impact on the carotenoid metabolism, resulting in visible increase in yellow pigment production of skin in chicken (Gallus gallus domesticus) and reptiles [21, 22]. Similarly, loss-of-function mutations in BCO2 in sheep (Ovis aries), cows (Bovine), and rabbits (Leporidae) caused a yellow fat phenotype [23,24,25]. In East African cichlid fish (Tropheus duboisi), Ahi et al. revealed that BCO2 expression in white skin was obvious higher than that in yellow skin [20]. Consistent with these researches, our data showed that similar effects of BCO2 on carotenoid-based skin color polymorphism exist in rainbow trout. In addition, miR-330 and BCO2 were highly expressed from fertilized-stage to multi-cell in WTrt and YMrt. Given that BCO2 is required for normal embryogenesis in mammals through maintaining vitamin A balance in vivo [26], we hypothesize that both of them may play important roles in embryogenesis of rainbow trout. BCO2 showed relative higher expression levels in the WTrt and YMrt dorsal skin at developmental stages of 10 dph and 1 mph; however, miR-330 showed almost no expression in the same time frames. The results may indicate that the basal expression level of miR-330 can exert a regulatory effect on BCO2, and also reflect the complexity of the molecular regulation mechanism of skin color formation in rainbow trout. Furthermore, previous studies found that overexpression of miR-330 can induce a significant reduction in the production of melanin in human and mouse melanocytes by targeting tyrosinase (TYR) gene, encoding a key rate-limiting enzyme in melanogenesis [27, 28], suggesting lower expression of miR-330 after the gastrula stage may contribute to the generation of dark skin in WTrt.

Interestingly, widespread expression of miR-330 and BCO2 was also found in all tissues tested. From the expression patterns of dorsal and ventral skin between WTrt and YMrt, it is again demonstrated that the low expression of BCO2 is conductive to the carotenoid accumulation in skin. In the process of carotenoid metabolism, the intestine is a major site for absorption and bioconversion [29]. In chicken, lower expression level of BCO2 was detected in yellow skin, but not in the intestine [25]. Our data possibly indicated BCO2 expression level in the intestine is tightly associated with the difference of skin carotenoid deposition between WTrt and YMrt. In addition to the skin, muscle also contains relatively higher contents of carotenoids [30]. As a mitochondrial protein, BCO2 is responsible for changes in carotenoid accumulation in the muscle of Chinook salmon (Oncorhynchus tshawytscha) [31]. In our study, we observed opposite expression patterns of miR-330 and BCO2 in the dorsal and ventral muscle of WTrt and YMrt, which implied a key role of miR-330 in regulating flesh color.

It’s was widely accepted that miRNAs suppress targets by binding their 3'-UTR to induce protein translational inhibition or mRNA degradation [32]. To identify whether miR-330 could target BCO2 gene, we examined the changes in BCO2 expression in rainbow trout liver cells after overexpression or inhibition of miR-330. Notably, BCO2 expression was apparently inhibited and promoted by miR-330 mimics and inhibitor when compared with the control. Agomir, a cholesterol-conjugated double-stranded RNA molecule, has been widely used in several fish species to verify the relationship between miRNAs and their target genes in vivo [33,34,35], which was also adopted to further confirm the effect of miR-330 overexpression on BCO2. As expected, we found that miR-330 expression level was significantly enhanced in the dorsal skin, tail fin and liver, while the BCO2 gene was marked downregulation. Additionally, luciferase reporter assay verified that miR-330 inhibited BCO2 expression by specifically binding its 3'-UTR. All of these experiments collectively supported that miR-330 was involved in carotenoid accumulation to regulate skin pigmentation via targeting BCO2.

Cell proliferation and apoptosis are normal physiological phenomena that help to maintain the number of cells in the body during the development, which are implicated with the process of skin pigmentation [36]. Previous studies have reported that melanophores proliferation and apoptosis are regulated by numerous key melanin-related genes, such as MITF, Kit type III receptor tyrosine kinase (KIT), and G protein subunit alpha i2 (GNAI2), thereby further affecting melanin synthesis [37,38,39]. Although the biologic functions of most miRNAs are not yet clarified, there is growing evidence that they perform essential roles in cell proliferation and apoptosis [7]. So far, several miRNAs, such as miR-330, miR-7013, and miR-18a, have been identified to regulate the apoptotic pathways of melanoma cells via targeting specific genes [40,41,42]. Moreover, overexpression of miR-330 can also suppress proliferation and induce apoptosis in other cell types [43, 44], thus, miR-330 is often considered a pro-apoptotic factor. As its target, BCO2 gene was also found to involve in apoptosis activity. A study in zebrafish (Danio rerio) revealed that BCO2 deficiency promoted blood cell apoptosis at larval stages [45]. In this study, our results showed that overexpression of miR-330 accelerated cellular apoptosis, while the opposite trend was shown in proliferation. Therefore, miR-330 is a positive regulator of apoptosis in rainbow trout liver cells. However, the effect of miR-330 on xanthophores proliferation and apoptosis remains to be further studied.

Conclusion

In the present study, we investigated the regulatory mechanism of miR-330 in rainbow trout skin pigmentation in vitro and in vivo. The results revealed that the full-length cDNA of BCO2 gene was 2057 bp encoding 568 amino acids, which was shown to be a target of miR-330, and both of them were highly expressed from fertilized-stage to multi-cell as well as in the dorsal and ventral skin of WTrt and YMrt. Treatment with miR-330 mimics or agomir resulted in a significantly decrease of BCO2 expression, and the opposite result was obtained after processing with miR-330 inhibitor. Additionally, overexpression of miR-330 could obviously suppress rainbow trout liver cells proliferation and induce apoptosis. The research here confirmed a functional role of miR-330 in regulating skin pigmentation of rainbow trout via targeting BCO2 and shows its promise as a potential molecular target to assist the selection of rainbow trout with better skin color patterns.

Materials and methods

Embryo and tissue collection

Eggs of WTrt and YMrt from full-sib families were obtained from, and raised at the Aquatic Science Training Center of Gansu Agricultural University in Gansu province, China. During the incubation phase, all fertilized eggs were kept in a cylindrical plastics water tank with temperature 12 ± 0.5 °C, pH = 7–8, and dissolved oxygen (DO) = 9 ± 0.5 mg/L. After hatching, the fish were maintained in a 18 ± 0.5 °C flow-through water system (pH = 7–8, DO = 9 ± 0.5 mg/L). Embryos and larvae were collected at the following stages as described previously [16]: fertilized-stage, 4-cell, 16-cell, multi-cell, blastula, gastrula, neurula, somites, heartbeating, 1 dph, 10 dph, 1 mph, 2 mph, and 3 mph (12 embryos or six larvae (from 1 dph to 1 mph) or one fish dorsal skin (2 mph and 3 mph) were collected as one sample, n = 3). Samples were also obtained from 12 mph WTrt and YMrt after anaesthetization by MS-222 (Sigma Aldrich Co., St. Louis, USA). Individual tissues including dorsal skin, ventral skin, dorsal muscle, ventral muscle, brain, eye, gill, midkidney, headkidney, intestine, liver, spleen, and heart were quickly collected and immediately stored in liquid nitrogen until RNA extraction. Three independent individuals were used for replication. All the experimental procedures were carried out in accordance with the Guidelines for the Care and Use of Laboratory Animals in China, and the protocol was approved by the Animal Experimentation Ethics Committee at Gansu Agricultural University, China (GSAU-Eth-AST-2021–004).

Molecular cloning of full-length cDNA of BCO2

Based on the skin transcriptome analysis of rainbow trout [11], partial cDNA sequence of BCO2 was obtained. Gene specific primers were designed to amplify the full-length cDNA of BCO2 (Table 1). The first strand cDNA for RACE was prepared using the SMARTer RACE 5′/3′ Kit (Clontech, Mountain View, CA, USA). The PCR reaction system and condition of touchdown PCR (outer and UPMlong) and nested PCR (inner and UPMshort) for 5′RACE/3′RACE were conducted according to the manufacturer's instructions, respectively. Products from touchdown PCR or nested PCR were extracted and purified by Zymoclean™ Gel DNA Recovery Kit (ZYMO Research, USA). Purified RACE products were then ligated into linearized pRACE vector (a SMARTer RACE 5′/3′ Kit component) and transformed into stellar competent cells (Clontech, Mountain View, CA, USA). Positive colonies containing insert fragments of the expected size were identified by colony PCR, and three independent positive colonies were finally sequenced at Sangon (Shanghai, China).

Table 1 Primers information used in the study
Full size table

Bioinformatic analysis of BCO2

DNAMAN 9.0 software was used to splice the sequencing results to obtain the full-length sequence of BCO2. The results of the sequence were then blasted against NCBI non-redundant (nr) protein database by BLAST (www.ncbi.nlm.nih.gov/blast), and extract protein names for comparative analysis of gene and protein sequences. The online software Protparam (https://web.expasy.org/protparam) and Protscale (https://web.expasy.org/ protscale/) were used to analyze the basic physicochemical properties. Transmembrane structure and domains of the encoded protein were predicted using TMHMM (http://www.cbs.dtu.dk/services/TMHMM/) and SMART (http://smart.embl -heidelberg.de), respectively. SOPMA (https://npsa-prabi.ibcp.fr/) was used to analyze the protein secondary structure, and the protein tertiary structure was modeled using SWISS-MODEL (https://swissmodel.expasy.org/). The ClustalX 1.83 software was used to perform multiple alignments of amino acid sequences, and phylogenetic tree was constructed using the maximum likelihood algorithm with 1000 bootstrap replicates within the MEGA7.0 program [46].

Dual-luciferase reporter assay

MiR-330 target genes were predicted using the RNAhybrid (v2.1.2) + svm_light (v6.01), Miranda (Version 3.3a), and TargetScan (Version 7.0). The BCO2-3′-UTR vectors were constructed by GENEWIZ (Suzhou, China). HEK293T cells were grown to 70–80% confluence in 24-well plate and co-transfected BCO2-WT/BCO2-MUT with miR-330 mimics or NC using INVI DNA RNA transfection Reagent (Invigentech, USA) (n = 3 different independent samples). The luciferase activity was measured 48 h post-transfection using Dual-Glo® Luciferase Assay System (Promega, USA) following the instruction of manufacturer. The 3′-UTR activity on the luciferase reporter gene was calculated as a ratio of firefly luciferase to renilla luciferase luminescence.

Cell transfection

In our previous experiments, we found that miR-330 and BCO2 were highly expressed in rainbow trout liver cells, thus, liver cells were used for functional analysis of miR-330 in vitro. MiR-330 mimics, mimics NC, miR-330 inhibitor, and inhibitor NC were all synthesized by Genepharma Co. Ltd (Shanhai, China). After rainbow trout liver cells reached 80% confluence in 24-well plate (n = 3 different independent samples), miR-330 mimics, miR-330 inhibitor, and their NC were transfected into cells using NVI DNA RNA transfection Reagent (Invigentech, USA) according to the manufacturer's protocol, respectively. Afterward, cells were incubated for 48 h and harvested for further analysis.

Cell viability assay

After liver cells were transiently transfected with miR-330 mimics, miR-330 inhibitor, and their NC for 48 h in 96-well plate, the cell counting kit-8 (CCK-8, Solarbio, China) was introduced to detect cell viability (n = 3 different independent samples) [47]. 10 μL CCK-8 reagent was added into each well, and the cells were incubated at 20℃ for another 2 h. Following that, the optical density values were measured with a microplate reader (Thermo, UAS) at an absorbance of 450 nm.

Cell proliferation assay

Cell proliferation was detected with 5-Ethynyl-2′-Deoxyuridine (EdU) assay. The EdU assay was performed according to the protocol of the BeyoClick™ EdU Cell Proliferation Kit with Alexa Fluor 555 (Beyotime, China). Briefly, normal growing liver cells were seed in a 24-well plate and treated with miR-330 mimics, miR-330 inhibitor, and their NC for 48 h (n = 3 different independent samples). Subsequently, the cells in each well were incubated with 500 μL of EdU (20 μM) for 24 h at 20℃. After being fixed with cell fixative (namely PBS containing 4% paraformaldehyde), the cells were exposed to 100 μL of click reaction buffer, followed by incubation at room temperature in dark for 30 min. Finally, 1 × Hoechst 33,342 was added to stain cell nuclei, and the positive cells were captured using a fluorescence microscope (Olympus IX71, Japan).

Apoptosis assay

For cell apoptosis assay, propidium iodide (PI) (Beyotime, China) and annexin V-FITC (Beyotime, China) were used to detect cell apoptosis [48]. After miR-330 mimics, miR-330 inhibitor, and their NC transfection for 48 h, liver cells were washed with 1 mL annexin V-FITC binding buffer and stained by 5 μL annexin V-FITC and 5 μL propidium iodide (PI) for 10−15 min at 4 °C in the dark. Afterward, flow cytometry (Beckman, USA) was used to analyze cell apoptosis rate of each treatment.

MiR-330 agomir injection in vivo

To determine the function of miR-330 in vivo, eight YMrt (25 ± 0.5 g) belonged to a full-sib family were selected and randomly divided into two groups: agomiR group and agomiR NC group. Four independent individuals were used for replication in each group. agomiR-330 and agomiR-330 NC were synthesized by Genepharma Co. Ltd (Shanhai, China). The animals in agomiR group and its negative control group were injected via tail vein with agomiR-330 and agomiR-330 NC for three consecutive days [33, 34]. On day four, the dorsal skin, tail fin, and liver samples were promptly removed and stored at − 80 °C for further assay.

qRT-PCR analysis

Total RNA from different tissues and liver cells was isolated with Trizol reagent kit (Invitrogen, Carlsbad, CA, USA), and the cDNA was synthesized using a Mir-X miRNA First-Strand Synthesis Kit (Clontech, Mountain View, CA, USA) and a PrimerScript RT Reagent Kit with gDNA Eraser (Takara, Dalian, China). qRT-PCR was performed on LightCycler® 480 II Instrument (Roche, Basel, Switzerland) with SYBR Premix Ex Taq (Takara, Dalian, China). For BCO2 quantification, the 20 μL reaction volume contained 10 μL of SYBR Premix Ex Taq II (2 ×), 1 μL of each sense and antisense primer (10 μM), 0.5 μL of cDNA, 7.5 μL of ddH2O. For miR-330 quantification, the 20 μL reaction volume contained 10 μL of SYBR Premix Ex Taq II (2 ×), 0.4 μL of each sense and antisense primer (10 μM), 1.6 μL of cDNA, 7.6 μL of ddH2O. PCR amplification procedure for all experiments were carried out at 95 ℃ for 30 s, followed by 40 cycles at 95 ℃ for 5 s and 60 ℃ for 30 s. Primers for qRT-PCR were designed by Primer v5.0 as listed in Table 1, and expression levels for U6 and β-actin were used as the internal references to normalize the expression levels of miR-330 and BCO2, respectively [49]. Software SPSS version 22.0 (IBM Corp, Armonk, NY, USA) was used to conduct all statistical analyses and the results were presented as mean ± SD (Standard Deviation). Student’s t-test was conducted to compare the difference of the same stage or tissue between WTrt and YMrt, and one-way ANOVA was applied to compare the difference of various developmental stages or tissues in WTrt and YMrt. Statistically, P < 0.05 and P < 0.01 were considered significant and extremely significant differences, respectively.

Availability of data and materials

All data generated or analyzed during this study are included in this article, and the raw data can be obtained by contacting the corresponding author. The full-length cDNA sequence of BCO2 has been submitted to National Center for Biotechnology Information (NCBI) (GenBank accession number: OQ053250).

Abbreviations

WTrt:

Wild-type rainbow trout

YMrt:

Yellow mutant rainbow trout

ORF:

Open reading frame

UTR:

Untranslated region

qRT-PCR:

Quantitative real-time PCR

NC:

Negative control

BCO2-WT:

BCO2-wild-type receptor vectors

BCO2-MUT:

BCO2- mutant receptor vectors

MS-222:

Tricaine methanesulfonate

1 dph:

1 Day post hatching

1 mph:

1 Month post hatching

UPM:

Universal primer mix

References

  1. Vissio PG, Darias MJ, Di Yorio MP, Pérez Sirkin DI, Delgadin TH. Fish skin pigmentation in aquaculture: The influence of rearing conditions and its neuroendocrine regulation. Gen Comp Endocrinol. 2021;301: 113662.

    Article  CAS  PubMed  Google Scholar 

  2. Kelsh RN. Genetics and evolution of pigment patterns in fish. Pigment Cell Res. 2004;17:326–36.

    Article  CAS  PubMed  Google Scholar 

  3. Singh AP, Nüsslein-Volhard C. Zebrafish stripes as a model for vertebrate colour pattern formation. Curr Biol. 2015;25:R81–92.

    Article  CAS  PubMed  Google Scholar 

  4. Hushcha Y, Blo I, Oton-Gonzalez L, Mauro GD, Martini F, Tognon M, et al. microRNAs in the regulation of melanogenesis. Int J Mol Sci. 2021;22:6104.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  5. Saliminejad K, Khorram Khorshid HR, Soleymani Fard S, Ghaffari SH. An overview of microRNAs: Biology, functions, therapeutics, and analysis methods. J Cell Physiol. 2019;234:5451–65.

    Article  CAS  PubMed  Google Scholar 

  6. Guo H, Ingolia NT, Weissman JS, Bartel DP. Mammalian microRNAs predominantly act to decrease target mRNA levels. Nature. 2010;466:835–40.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. Shin VY, Chu KM. MiRNA as potential biomarkers and therapeutic targets for gastric cancer. World J Gastroenterol. 2014;20:10432–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Liu X, Du B, Zhang P, Zhang J, Zhu Z, Liu B, et al. miR-380-3p regulates melanogenesis by targeting SOX6 in melanocytes from alpacas (Vicugna pacos). BMC Genomics. 2019;20:962.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Dong Z, Luo M, Wang L, Yin H, Zhu W, Fu J. MicroRNA-206 regulation of skin pigmentation in Koi Carp (Cyprinus carpio L.). Front Genet. 2020;11:47.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  10. Yan B, Liu B, Zhu CD, Li KL, Yue LJ, Zhao JL, et al. microRNA regulation of skin pigmentation in fish. J Cell Sci. 2013;126:3401–8.

    CAS  PubMed  Google Scholar 

  11. Wu S, Huang J, Li Y, Zhao L, Liu Z, Kang Y, et al. Integrative mRNA-miRNA interaction analysis reveals the molecular mechanism of skin color variation between wild-type and yellow mutant rainbow trout (Oncorhynchus mykiss). Comp Biochem Physiol Part D Genomics Proteomics. 2021;40: 100914.

    Article  CAS  PubMed  Google Scholar 

  12. Sun Y, Liu M, Yan C, Yang H, Wu Z, Liu Y, et al. CRISPR/Cas9-mediated deletion of β, β-carotene 9’, 10’-oxygenase gene (EcBCO2) from Exopalaemon carinicauda. Int J Biol Macromol. 2020;151:168–77.

    Article  CAS  PubMed  Google Scholar 

  13. Wu L, Guo X, Wang W, Medeiros DM, Clarke SL, Lucas EA, et al. Molecular aspects of β, β-carotene-9’, 10’-oxygenase 2 in carotenoid metabolism and diseases. Exp Biol Med. 2016;241:1879–87.

    Article  CAS  Google Scholar 

  14. Wu S, Huang J, Li Y, Zhao L, Liu Z. Analysis of yellow mutant rainbow trout transcriptomes at different developmental stages reveals dynamic regulation of skin pigmentation genes. Sci Rep. 2022;12:256.

    Article  PubMed  PubMed Central  Google Scholar 

  15. Hattori RS, Yoshinaga TT, Butzge AJ, Hattori-Ihara S, Tsukamoto RY, Takahashi NS, et al. Generation of a white-albino phenotype from cobalt blue and yellow-albino rainbow trout (Oncorhynchus mykiss): Inheritance pattern and chromatophores analysis. PLoS ONE. 2020;15: e0214034.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. Wu SJ, Huang JQ, Li YJ, Liu Z, Zhang Q, Pan YC, et al. Cloning, sequence analysis, and expression of tyrp1a and tyrp2 genes related to body colour in different developmental stages and tissues of rainbow trout Oncorhynchus mykiss. Aquacult Int. 2021;29:941–61.

    Article  CAS  Google Scholar 

  17. Kelsh RN, Harris ML, Colanesi S, Erickson CA. Stripes and belly-spots – a review of pigment cell morphogenesis in vertebrates. Semin Cell Dev Biol. 2009;20:90–104.

    Article  CAS  PubMed  Google Scholar 

  18. Bronner ME, LeDouarin NM. Development and evolution of the neural crest: an overview. Dev Biol. 2012;366:2–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  19. Babino D, Palczewski G, Widjaja-Adhi MA, Kiser PD, Golczak M, von Lintig J. Characterization of the role of β-carotene 9,10-dioxygenase in macular pigment metabolism. J Biol Chem. 2015;290:24844–57.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  20. Ahi EP, Lecaudey LA, Ziegelbecker A, Steiner O, Glabonjat R, Goessler W, et al. Comparative transcriptomics reveals candidate carotenoid color genes in an East African cichlid fish. BMC Genomics. 2020;21:54.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Eriksson J, Larson G, Gunnarsson U, Bed’hom B, Tixier-Boichard M, Strömstedt L, et al. Identification of the yellow skin gene reveals a hybrid origin of the domestic chicken. PLoS Genet. 2008;4: e1000010.

    Article  PubMed  PubMed Central  Google Scholar 

  22. Andrade P, Pinho C, Pérez I de Lanuza G, Afonso S, Brejcha J, Rubin CJ. Regulatory changes in pterin and carotenoid genes underlie balanced color polymorphisms in the wall lizard. Proc NatlAcad Sci. 2019;116:5633–42.

    Article  CAS  Google Scholar 

  23. VÃ¥ge DI, Boman IA. A nonsense mutation in the beta-carotene oxygenase 2 (BCO2) gene is tightly associated with accumulation of carotenoids in adipose tissue in sheep (Ovis aries). BMC Genet. 2010;11:10.

    Article  PubMed  PubMed Central  Google Scholar 

  24. Berry SD, Davis SR, Beattie EM, Thomas NL, Burrett AK, Ward HE. Mutation in bovine beta-carotene oxygenase 2 affects milk color. Genetics. 2009;182:923–6.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  25. Fallahshahroudi A, Sorato E, Altimiras J, Jensen P. The domestic BCO2 allele buffers low-carotenoid diets in chickens: possible fitness increase through species hybridization. Genetics. 2019;212:1445–52.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  26. Quadro L, Giordano E, Costabile BK, Nargis T, Iqbal J, Kim Y, et al. Interplay between β-carotene and lipoprotein metabolism at the maternal-fetal barrier. Biochim Biophys Acta Mol Cell Biol Lipids. 2020;1865: 158591.

    Article  CAS  PubMed  Google Scholar 

  27. Su BB, Zhou SW, Gan CB, Zhang XN. MiR-330-5p regulates tyrosinase and PDIA3 expression and suppresses cell proliferation and invasion in cutaneous malignant melanoma. J Surg Res. 2016;203:434–40.

    Article  CAS  PubMed  Google Scholar 

  28. Liu Y, Xue L, Gao H, Chang L, Yu X, Zhu Z, et al. Exosomal miRNA derived from keratinocytes regulates pigmentation in melanocytes. J Dermatol Sci. 2019;93:159–67.

    Article  CAS  PubMed  Google Scholar 

  29. Von Lintig J, Moon J, Lee J, Ramkumar S. Carotenoid metabolism at the intestinal barrier. Biochim Biophys Acta Mol Cell Biol Lipids. 2020;1865: 158580.

    Article  Google Scholar 

  30. Li X, Li N, Zhao L, Shi J, Wang S, Ning X, et al. Tissue distribution and seasonal accumulation of carotenoids in Yesso scallop (Mizuhopecten yessoensis) with orange adductor muscle. Food Chem. 2022;367: 130701.

    Article  CAS  PubMed  Google Scholar 

  31. Lehnert SJ, Christensen KA, Vandersteen WE, Sakhrani D, Pitcher TE, Heath JW, et al. Carotenoid pigmentation in salmon: variation in expression at BCO2-l locus controls a key fitness trait affecting red coloration. Proc Biol Sci. 2019;286:20191588.

    CAS  PubMed  PubMed Central  Google Scholar 

  32. Hernando B, Peña-Chilet M, Ibarrola-Villava M, Martin-Gonzalez M, Gomez-Fernandez C, Ribas G, et al. Genetic 3’UTR variation is associated with human pigmentation characteristics and sensitivity to sunlight. Exp Dermatol. 2017;26:896–903.

    Article  CAS  PubMed  Google Scholar 

  33. Tang X, Fu J, Tan X, Shi Y, Ye J, Guan W, et al. The miR-155 regulates cytokines expression by SOSC1 signal pathways of fish in vitro and in vivo. Fish Shellfish Immunol. 2020;106:28–35.

    Article  CAS  PubMed  Google Scholar 

  34. Li H, Di G, Zhang Y, Liang J, Wang X, Xu Z, et al. miR-217 through SIRT1 regulates the immunotoxicity of cadmium in Cyprinus carpio. Comp Biochem Physiol C Toxicol Pharmacol. 2021;248: 109086.

    Article  CAS  PubMed  Google Scholar 

  35. Sun L, Zhong Y, Qiu W, Guo J, Gui L, Li M. MiR-26 regulates ddx3x expression in medaka (Oryzias latipes) gonads. Comp Biochem Physiol B Biochem Mol Biol. 2020;246–247: 110456.

    Article  PubMed  Google Scholar 

  36. Luo MK, Lu GQ, Yin HR, Wang LM, Atuganile M, Dong ZJ. Fish pigmentation and coloration: Molecular mechanisms and aquaculture perspectives. Rev Aquac. 2021;13:2395–412.

    Article  Google Scholar 

  37. Hu S, Bai S, Dai Y, Yang N, Li J, Zhang X, et al. Deubiquitination of MITF-M regulates melanocytes proliferation and apoptosis. Front Mol Biosci. 2021;8: 692724.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  38. Hu S, Chen Y, Zhao B, Yang N, Chen S, Shen J, et al. KIT is involved in melanocyte proliferation, apoptosis and melanogenesis in the Rex Rabbit. PeerJ. 2020;8: e9402.

    Article  PubMed  PubMed Central  Google Scholar 

  39. Hu S, Dai Y, Bai S, Zhao B, Wu X, Chen Y. GNAI2 promotes proliferation and decreases apoptosis in rabbit melanocytes. Genes. 2021;12:1130.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  40. Sehati N, Sadeghie N, Mansoori B, Mohammadi A, Shanehbandi D, Baradaran B. MicroRNA-330 inhibits growth and migration of melanoma A375 cells: In vitro study. J Cell Biochem. 2020;121:458–67.

    Article  CAS  PubMed  Google Scholar 

  41. Huang YJ, Gao Y, Wang CJ, Han DX, Zheng Y, Wang WH, et al. Hydroxyurea regulates the development and survival of B16 Melanoma Cells by upregulating MiR-7013-3p. Int J Med Sci. 2021;18:1877–85.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  42. Guo Y, Shi W, Fang R. miR-18a-5p promotes melanoma cell proliferation and inhibits apoptosis and autophagy by targeting EPHA7 signaling. Mol Med Rep. 2021;23:79.

    Article  CAS  PubMed  Google Scholar 

  43. Wei CH, Wu G, Cai Q, Gao XC, Tong F, Zhou R, et al. MicroRNA-330-3p promotes cell invasion and metastasis in non-small cell lung cancer through GRIA3 by activating MAPK/ERK signaling pathway. J Hematol Oncol. 2017;10:125.

    Article  PubMed  PubMed Central  Google Scholar 

  44. Chen Q, Fang X, Yao N, Wu F, Xu B, Chen Z. Suppression of miR-330-3p alleviates DSS-induced ulcerative colitis and apoptosis by upregulating the endoplasmic reticulum stress components XBP1. Hereditas. 2020;157:18.

    Article  PubMed  PubMed Central  Google Scholar 

  45. Lobo GP, Isken A, Hoff S, Babino D, von Lintig J. BCDO2 acts as a carotenoid scavenger and gatekeeper for the mitochondrial apoptotic pathway. Development. 2012;139:2966–77.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  46. Kumar S, Stecher G, Tamura K. MEGA7: Molecular evolutionary genetics analysis version 7.0 for bigger datasets. Mol Biol Evol. 2016;33:1870–4.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  47. He GN, Bao NR, Wang S, Xi M, Zhang TH, Chen FS. Ketamine induces ferroptosis of liver cancer cells by targeting lncRNA PVT1/miR-214-3p/GPX4. Drug Des Devel Ther. 2021;15:3965–78.

    Article  PubMed  PubMed Central  Google Scholar 

  48. Chen W, Yan X, Yang A, Xu A, Huang T, You H. miRNA-150-5p promotes hepatic stellate cell proliferation and sensitizes hepatocyte apoptosis during liver fibrosis. Epigenomics. 2020;1:53–67.

    Article  Google Scholar 

  49. Ma F, Liu Z, Huang J, Kang Y, Wang J. Evaluation of reference genes for quantitative real-time PCR analysis of messenger RNAs and microRNAs in rainbow trout Oncorhynchus mykiss under heat stress. J Fish Biol. 2019;95:540–54.

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgements

We thank Xiaolan Wang and Yucai Pan for sampling.

Funding

This work was supported by the Young Ph.D. Fund for Higher Education in Gansu Province (2022QB-085), Funds for Excellent Ph.D. of Gansu Province (22JR5RA844), Fostering Foundation for the Excellent Ph.D. Dissertation of Gansu Agricultural University (YB2022001), and National Natural Science Foundation of China (31760755).

Author information

Author notes

  1. Shenji Wu and Lu Zhao contributed equally to this work.

Authors and Affiliations

  1. College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, 730070, China

    Shenji Wu, Lu Zhao, Jinqiang Huang, Zhe Liu & Dongqiang Zhang

  2. College of Science, Gansu Agricultural University, Lanzhou, 730070, China

    Yongjuan Li

Authors
  1. Shenji Wu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Lu Zhao
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Jinqiang Huang
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Yongjuan Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Zhe Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Dongqiang Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

SJW: Writing-original draft and data curation; JQH: Conceptualization and funding acquisition; YJL and ZL: Writing-review & editing; SJW, LZ, and DQZ: Data curation and formal analysis. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Jinqiang Huang.

Ethics declarations

Ethics approval and consent to participate

The animal study was reviewed and approved by the Faculty Animal Policy and Welfare Committee of Gansu Agricultural University (Lanzhou, China; Ethic approval file No. GSAU-Eth-AST-2021–004). All experimental procedures and sample collection methods were performed in accordance with approved guidelines and regulations to ensure animal welfare. Meanwhile, the study is in accordance with ARRIVE guidelines.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wu, S., Zhao, L., Huang, J. et al. miR-330 targeting BCO2 is involved in carotenoid metabolism to regulate skin pigmentation in rainbow trout (Oncorhynchus mykiss). BMC Genomics 24, 124 (2023). https://0-doi-org.brum.beds.ac.uk/10.1186/s12864-023-09173-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://0-doi-org.brum.beds.ac.uk/10.1186/s12864-023-09173-z

Keywords

BMC Genomics

ISSN: 1471-2164

Contact us