MYOD1 Inhibits Avian Adipocyte Differentiation via miRNA-206/KLF4 Axis

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Abstract Background: A considerable number of muscle development-related genes were differentially expressed in the early stage of avian adipocyte differentiation. However, the functions of them in adipocyte differentiation remain largely known. In this study, the myoblast determination protein 1 (MYOD1) was selected as a representative of muscle development and we investigated its expression, function and regulation in avian adipocyte differentiation.Results: The expression of MYOD1 decreased significantly in the early stage of avian adipocyte differentiation. CRISPR/CAS9-mediated deletion of MYOD1 induced adipocyte differentiation, whereas over-expression of MYOD1 inhibited adipogenesis. mRNA-seq showed that MYOD1 could perturb the lipid biosynthetic process during differentiation. Mechanistically, MYOD1 directly up-regulates the miR-206 expression by binding upstream 1200 bp region, and over-expression of miR-206 also inhibits adipogenesis. Furthermore, MYOD1 affected the expression of endogenous miR-206 and its target gene Kruppel Like Factor 4 (KLF4), which is an important activator of adipogenesis. Accordingly, the inhibition of miR-206 or over-expression of KLF4 could counteract the inhibitory effect of MYOD1 on adipocyte differentiation. Conclusions: These findings suggest that MYOD1 inhibited adipocyte differentiation by up-regulating miR-206 to suppress the KLF4 expression. Collectively, these findings identify a novel function of MYOD1 in adipocyte differentiation, suggesting a potential role in body-fat distribution regulation.
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MYOD1 Inhibits Avian Adipocyte Differentiation via miRNA-206/KLF4 Axis | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research MYOD1 Inhibits Avian Adipocyte Differentiation via miRNA-206/KLF4 Axis Zheng Wang, Qiang-Sen Zhao, Xiao-Qin Li, Zhong-Tao Yin, Si-Rui Chen, and 3 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-107745/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 05 May, 2021 Read the published version in Journal of Animal Science and Biotechnology → Version 1 posted 11 You are reading this latest preprint version Abstract Background: A considerable number of muscle development-related genes were differentially expressed in the early stage of avian adipocyte differentiation. However, the functions of them in adipocyte differentiation remain largely known. In this study, the myoblast determination protein 1 (MYOD1) was selected as a representative of muscle development and we investigated its expression, function and regulation in avian adipocyte differentiation. Results: The expression of MYOD1 decreased significantly in the early stage of avian adipocyte differentiation. CRISPR/CAS9-mediated deletion of MYOD1 induced adipocyte differentiation, whereas over-expression of MYOD1 inhibited adipogenesis. mRNA-seq showed that MYOD1 could perturb the lipid biosynthetic process during differentiation. Mechanistically, MYOD1 directly up-regulates the miR-206 expression by binding upstream 1200 bp region, and over-expression of miR-206 also inhibits adipogenesis. Furthermore, MYOD1 affected the expression of endogenous miR-206 and its target gene Kruppel Like Factor 4 (KLF4), which is an important activator of adipogenesis. Accordingly, the inhibition of miR-206 or over-expression of KLF4 could counteract the inhibitory effect of MYOD1 on adipocyte differentiation. Conclusions: These findings suggest that MYOD1 inhibited adipocyte differentiation by up-regulating miR-206 to suppress the KLF4 expression. Collectively, these findings identify a novel function of MYOD1 in adipocyte differentiation, suggesting a potential role in body-fat distribution regulation. Animal Science Biotechnology and Bioengineering Avian MYOD1 Adipocyte differentiation CRISPR/CAS9 miR-206/KLF4 axis Figures Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 Background Adipocytes are unique in the quantity of lipids that they can store, the rapid release of these calories, and protein for use by other organs, which can profoundly affect our health [ 1 ]. Avian has been utilized as a good animal model for studying basic adipogenesis mechanisms, which can be directly used for genetic improvement of avian fat deposition [ 2 ]. Adipogenesis is driven by an increase in adipocyte cell size (hypertrophy) or number (hyperplasia) [ 3 ]. Adipocyte differentiation is regulated by an elaborate network of transcription factors, and understanding the underlying transcriptional networks is relevant and timely both from a basic and medical research perspective [ 4 ]. Several studies and observations showed fat deposits in the muscles will cause the loss of muscle quality and are more likely to induce metabolic diseases in various animals [ 5 – 8 ]. Adipose and muscle tissues originate from mesenchymal stem cells (MSCs) [ 9 – 12 ], which are the multipotent and relevant targets for therapies aiming to enhance tissue regeneration [ 13 ]. In response to lineage-specific inducers, MSCs from different depots can differentiate into many different, mutually exclusive lineages, including the adipocyte and myoblast lineages [ 14 – 16 ]. It has been shown that peroxisome proliferator-activated receptor γ (PPARγ) and myoblast determination protein 1 (MYOD1) are master regulators of adipogenesis and myogenesis, respectively [ 17 , 18 ], and that the MYOD1-driven and PPARγ-driven differentiation programs are mutually exclusive [ 19 – 21 ]. However, the functional contributions of muscle development genes to adipocyte differentiation remain largely unexplored. Our previous work found many muscle development genes involved in the early regulation of adipocyte differentiation [ 22 ]. In this study, MYOD1, a representative of muscle development, was significantly down-regulated in the early stage of avian adipocyte differentiation. Studies of loss-of-function and gain-of-function demonstrated that MYOD1 is a key repressor of adipocyte differentiation by interacting with miR-206/ Kruppel Like Factor 4 (KLF4) axis. The mRNA-seq showed that over-expression of MYOD1 in adipocytes inhibits the expression of most lipid biosynthesis genes and also promotes the expression of some myogenic genes. Our findings imply that a novel function of MYOD1 in adipocyte differentiation. Thus, affecting MYOD1 might represent a viable strategy to improve fat ratio to muscle in avian. Materials And Methods Plasmid construction` MYOD1- Knock-out and Knock-in plasmids: Using the chMYOD1 sequence obtained from the NCBI database (Accession: NC_006092.5), we designed gRNA sequences targeting exon1 of chMYOD1, known as sgRNA1: CGACCCGTGCTTCAACACGT and sgRNA2: GCGGCTCAGCAAGGTCAACG. We synthesized the oligo-DNAs corresponding to these gRNAs. We annealed them to a T7 promoter-driven Cas9 and to a U6 promoter-driven gRNA vector in order to obtain two gRNA-expressing plasmids. In order to construct the MYOD1-over-expression vector, the full-length coding sequence of chMYOD1 (NCBI Reference Sequence: NM_204214.2) was amplified from chicken subcutaneous adipose cDNA by PCR, and cloned into the CMV promoter-driven piggyBac and an EF1α promoter-driven GFP plasmid by replacing GFP using EcoRI and SalI (New England Biolabs, Ipswich, MA, USA). Above plasmids were a gift from Professor Sen Wu (State Key Laboratory of Agrobiotechnology, College of Biological Sciences, China Agricultural University). pmirGLO dual-luciferase reporters: The 3′-UTR fragment of KLF4 (NCBI Reference Sequence: XM_004949369.3) containing the binding sites were amplified by PCR from chicken subcutaneous adipose cDNA and then cloned into pmirGLO vector. The mutant vectors were constructed by PCR mutagenesis. Six seed sequences were successfully mutated from CATTCC to GTGAAG for the KLF4-3′-UTR vector. Gene over-expression vector: The MYOD1 and KLF4 over-expression vector was constructed according to the user manual of the Easy Ligation Kit (Sidansai, Shanghai, China). MYOD1 and KLF4 coding sequence (NCBI Reference Sequence: NM_204214.2 and XM_004949369.3) were amplified from chicken subcutaneous adipose cDNA by PCR. The PCR product was cloned into the pcDNA3.1 vector. The successful MYOD1 and KLF4, over-expression vector, was confirmed by DNA sequencing. miR-206 promoter reporter plasmid: A 1876 bp fragment of the miR-206 promoter was isolated by PCR using the primers listed in Tab. S1 . After the PCR product was digested with KpnI and SmaI restriction sites, the insertion was ligated into the pGL4.1 vector (Promega, Madison, WI, USA) to create the expression vector pGL4.1(-1876). After pGL4.1(-1876) was sequenced, this construct was used as a template, and pGL4.1(-1234) was isolated by PCR. All cloning plasmids were confirmed by sequencing. RNA extraction, cDNA synthesis, and quantitative real-time PCR Total RNA was isolated from the cells using RNAiso reagent (Takara, Otsu, Japan) according to the manufacturer's instruction. According to the manufacturer's manual, the reverse transcription reaction for mRNA was performed with PrimeScript RT reagent Kit (Perfect Real-Time) (Takara, Otsu, Japan). The reverse transcription reaction for miRNA was using miRNA First-Strand cDNA Synthesis SuperMix (Transgen, Beijing, China). The specific qRT-PCR Primer of mRNA and miRNA were designed using Primer 3 software (version 0.4.0, Howard Hughes Medical Institute). Primer sets are listed in Tab. S1 . With KAPA SYBR FAST qPCR Kit (KAPA Biosystems, MA, USA), qPCR program was carried out in ABI-7500 PCR machine (Applied Biosystems, MA, USA), and the method was as described [ 23 ]. All reactions were run in triplicate. Cell culture A cell line of immortalized chicken preadipocytes (ICPs) [ 24 ] was a kind gift of the Poultry Breeding Group of the College of Animal Science and Technology, Northeast Agricultural University, and was cultured in DMEM/F12 (Gibco, Gaithersburg, MD, USA) supplemented with 10% fetal bovine serum (Hyclone, Logan, UT, USA), and 0.2% penicillin/streptomycin (Invitrogen, Carlsbad, CA, USA). To induce ICPs differentiation, we added 160 µM sodium oleate (Sigma Life Science, St. Louis, MO, USA) to the medium [ 25 ]. For MYOD1 OE and MYOD KO cells selection, ICPs were seeded in 6-well plates for further transfection using Lipofectamine 3000 (Invitrogen, Carlsbad, CA, USA). After a 48 h recovery period, the cells were supplemented with 3 µg/mL of puromycin (Sigma-Aldrich, MO, USA) in the culture medium for 12 days until clone formation. Cells were harvested using 0.25% trypsin/EDTA (Gibco, Gaithersburg, MD, USA), and the cell density was calculated using a handheld automated cell counter (Millipore, Darmstadt, Germany). Single cells were plated in each well of a 96-well plate by limiting dilution and then cultured for 10 d in the cell culture medium. The medium was replaced every 4 d. Confluent cell colonies were propagated and genotyped by PCR and sequencing. Transfections Transfections were performed with Lipofectamine 3000 reagent (Invitrogen, Carlsbad, CA, USA) according to the manufacturer's direction. Nucleic acids were diluted in OPTI-MEM Medium (Gibco, Gaithersburg, MD, USA). All experiments were carried out at least three times independently. Oil Red O staining and quantification The cells were washed with PBS and fixed in 4% formaldehyde for 10 min. Then the cells were stained with Oil-Red-O working solution (Solarbio, Beijing, China) according to the manufacturer's manual. After another wash with PBS, the cell nuclei were counterstained with Hoechst 33342 (Solarbio, Beijing, China). Morphological changes were observed and photographed under an inverted fluorescent microscope (Nikon). The Oil-Red-O dyes were then extracted in isopropanol solution containing 4% Nonidet P-40 and quantified by NanoDrop 2000C spectrophotometers (Thermo Fisher Scientific, San Jose, CA, USA) at 510 nm. RNA oligonucleotides The miR-206 mimics, negative control (NC) mimic, miR-206 inhibitors and NC inhibitor were all purchased from GenePharma (GenePharma, Shanghai, China). Dual-luciferase reporter assay For the promoter activity assays, ICPs were cotransfected with reporter plasmid and MYOD1 over-expression vector or control vector, and the TK-Renilla reporter was also cotransfected to each sample as an internal control using the Lipofectamine 3000 reagent (Invitrogen, Carlsbad, CA, USA) in 48-well plates. The miRNA target verification assay was also performed in ICPs. Wild-type or mutant KLF4-3′-UTR dual-luciferase reporter (200 ng) and miR-206 mimic or NC mimic (50 nM) were cotransfected into ICPs. After 48 h transfection, cells were washed by PBS twice, and the activities of Firefly and Renilla luciferase were measured according to the manual of Luc-pair Duo-Luciferase Assay Kit 2.0 (GeneCopoeia, Rockville, MD, USA). All the data were acquired by averaging the results from three independent repeats. Western blot Cultured cells were washed with PBS and homogenized with RIPA buffer (Beyotime, Jiangsu, China) containing protease inhibitor cocktail (Beyotime, Jiangsu, China). Protein concentrations were determined using the BCA Protein Assay Kit (Beyotime, Jiangsu, China). Proteins were denatured and subjected to 10% polyacrylamide gel and transferred to methanol-activated PVDF membranes. Blots were probed using the primary antibodies: mouse anti-MYOD1 (1:500; Santa Cruz Biotechnology, USA, Cat# sc-377460), rabbit anti-KLF4 (1:500; Bioss, Beijing, China, Cat# 52850R), mouse anti-GAPDH, (1:5000; Bioworld, St Louis Park, MN, USA, Cat#MB001), overnight at 4 °C. After one h incubation with anti-mouse or anti-rabbit HRP‐conjugated second antibody (1:5000, Bioss, Beijing, China, Cat# 40296G, 40295G). Immunodetection was performed using enhanced chemiluminescence (ECL) Western blotting substrate (Beyotime, Jiangsu, China) and detected with FluoChem R imaging system (ProteinSimple, CA, USA). RNA-seq analysis Raw reads were trimmed to remove adapters and low-quality reads, with Trimmomatic (version 0.39) [ 26 ]. Trimmed reads were mapped to the chicken reference genome (Ensembl release 100: ftp://ftp.ensembl.org/pub/release100/fasta/gallus_gallus/dna/Gallus_gallus.GRCg6a.dna.toplevel.fa.gz ) using HISAT2[ 27 ]. Read counts for each gene were calculated using Stringtie (v.2.1.2) and normalized by library sequencing depth using the R package DESeq2 (v.1.28.1) after filtering the gene with low expression [ 28 ]. We used the DEGSeq2 (v.1.28.1) package to identify DEGs between MYOD1 NC , MYOD1 KO , and MYOD1 OE cells at different days (day 0 and day 5). Therefore, samples were excluded from further analysis due to its low global Pearson correlation with the other repeat samples (R 2 < 0.95). Genes with |log2FC|≥ 0.585 (or ≥ 1) and the Benjamini༆Hochberg (BH) adjusted p-value (adjusted-P value) < 0.05 were considered as differentially expressed genes. Functional enrichment and prediction of miRNA target genes Genes were annotated with gene Symbols from the Uniprot database for functional annotation. Gene ontology (GO) analysis of the enriched genes was performed using the web-based Metascape [ 29 ] (a gene annotation & analysis resource, http://metascape.org/gp/index.html#/main ). Putative miRNA targets for miR-206 were predicted by online software, TargetScan (version 7.2, http://www.targetscan.org/ ), miRDB ( http://mirdb.org/ ) as well as miRTarBase ( http://mirtarbase.cuhk.edu.cn/ ) to choose target genes for validation. Statistical analysis. Each experiment was repeated three times, and all results are represented as the mean ± SD. Three independent sample t-test was used to perform the statistically significant difference between groups. The level of significance was presented as ∗ ( p < 0.05). Results MYOD1 is a repressor of adipocyte differentiation We found that the expression of MYOD1 is significantly down-regulated after the beginning of Pekin duck adipocyte differentiation (Fig. 1 a). To further understand the relationship between MYOD1 and adipocyte differentiation, we detected its expression in adipogenic differentiation of immortalized chicken preadipocytes (ICPs) by qPCR (Fig. 1 b) and Western blot (Fig. 1 c). MYOD1 was also significantly down-regulated its expression after adipocyte differentiation in chicken. These results indicate that MYOD1is involved in the avian adipocyte differentiation process. To further determine the roles of MYOD1 in avian adipocyte differentiation, we first performed gain-of-function experiments by using piggyBack delivery [ 30 ] of MYOD1 into ICPs. As shown in Fig. 2 a and b, transduced MYOD1 clone can significantly induce MYOD1 expression relative to cells transduced with a control vector. Strikingly, over-expression of MYOD1 in ICPs (MYOD1 OE ) significantly blocked adipogenesis (Fig. 2 c, d), as shown by oil red O staining of neutral lipids. Adipocyte markers, such as PPARγ, A-FABP, C/EBPα,and C/EBPβ (Fig. 2 e), were significantly decreased in MYOD1 OE cells. We further sought confirmation of MYOD1 anti-adipogenic activity through loss-of-function studies, in which we would predict enhanced adipose conversion. We transfected ICPs with two single guide RNAs (sgRNAs) targeting the exon 1 of MYOD1 and a Cas9 vector. We established MYOD1-knock-out ICP Clones (MYOD1 KO ) with a 260-bp frame-shifting deletions in MYOD1 (Fig. 2 f), indicating that both gRNAs work efficiently with Cas9 to edit MYOD1. The mutation of MYOD1 also dramatically down-regulated its expression relative to cells transfected with an only Cas9 vector (Fig. 2 g, h). MYOD1 KO cells demonstrated enhanced adipogenic potential, including greater lipid accumulation (Fig. 2 i, j), and increased the expression of adipocyte marker genes (Fig. 2 k). MYOD1 perturb the lipid biosynthetic process To further understand the effect of MYOD1 on adipogenesis, we performed mRNA-Seq experiments in MYOD1 OE , MYOD1 NC , MYOD1 KO cells prior to differentiation (day 0) and day 5 after differentiation. In total, 886 and 1335 differentially expressed genes (DEGs) were up-regulated and down-regulated in MYOD1 OE cells compared to MYOD1 NC cells on day 0, respectively (Tab. S2, Fold-Change > 2; adjusted- P value < 0.05). GO analysis for DEGs up-regulated in MYOD1 OE cells are enriched for development processes such as blood vessel development, muscle structure development, and positive regulation of muscle tissue development, while DEGs down-regulated in MYOD1 OE cells are enriched for extracellular matrix organization, metabolism process, and cell morphogenesis involved in differentiation (Table 1 , Tab. S3). Also, 256 and 971 DEGs were up-regulated and down-regulated in MYOD1 KO cells compared to MYOD1 NC cells on day 0, respectively (Tab. S2, Fold-Change > 2; adjusted- P value < 0.05). As expected, GO analysis for genes down-regulated in MYOD1 KO cells also are enriched for striated muscle cell differentiation and muscle system process. In contrast, genes up-regulated in MYOD1 KO cells are enriched in the adipogenesis related pathway, including cell morphogenesis in differentiation, regulation of MAPK cascade, and positive regulation of lipid metabolic process (Table 1 , Tab. S3). These results indicate that although differentiation has not yet begun, the knock-in or knockout of MYOD1 alone seems to have affected preadipocytes characteristics. Table 1 GO enrichment analysis of DEGs in MYOD1 OE , MYOD1 NC , and MYOD1 KO cells Up-regulated Gene count Log (q-value) Down-regulated Gene count Log (q-value) MYOD1 OE VS MYOD1 KO (Day 0) blood vessel development 74 -11.19 cell involved in differentiation 25 -1.35 muscle structure development 64 9.51 extracellular matrix organization 38 -1.35 heart development 56 -8.84 ATP metabolic process 21 -1.35 actin cytoskeleton organization 60 -7.72 inorganic cation transmembrane transport 36 -1.12 muscle tissue development 41 -6.50 developmental growth 30 -0.66 MYOD1 KO VS MYOD1 NC (Day 0) regulation of cell morphogenesis 18 -3.09 regulation of system process 44 -8.02 positive regulation of cell development 17 -2.34 skeletal system development 35 -5.05 cell involved in differentiation 19 -2.19 muscle structure development 37 -3.82 regulation of MAPK cascade 18 − 1.89 heart development 34 -3.82 regulation of lipid metabolic process 11 -1.09 muscle system process 29 -3.66 MYOD1 OE Day 5 VS Day 0 nuclear division 70 -13.19 actin cytoskeleton organization 146 -23.46 ncRNA metabolic process 78 -10.61 heart development 128 -21.58 DNA replication 48 -9.70 skeletal system development 118 -20.87 regulation of cell cycle process 83 -5.79 extracellular structure organization 95 -16.49 ribosomal large subunit biogenesis 17 -4.12 muscle structure development 126 -15.92 MYOD1 NC Day 5 VS Day 0 nuclear division 59 − 21.11 extracellular matrix organization 46 -11.38 cell division 71 -21.11 heart development 52 -8.01 lipid biosynthetic process 40 -2.74 muscle structure development 55 -7.35 regulation of MAPK cascade 36 -1.33 skeletal system development 45 -6.29 glycerophospholipid metabolic process 19 -1.72 regulation of lipid metabolic process 35 -4.68 MYOD1 KO Day 5 VS Day 0 cell division 68 -6.78 extracellular structure organization 66 -8.36 protein autophosphorylation 22 -4.05 DNA replication 44 -4.73 mitotic nuclear division 46 -4.02 skeletal system development 61 -3.78 lipid biosynthetic process 40 -2.74 phospholipid metabolic process 53 -3.78 regulation of cell cycle process 64 -2.13 muscle structure development 56 -0.89 To better understand the effect of MYOD1 on adipogenesis, we re-analyzed the DEGs before and after adipogenic differentiation in MYOD1 KO , MYOD1 NC, and MYOD1 OE cells. A total of 2457, 781, and 1636 DEGs were significantly up-regulated on day 5 of differentiation of MYOD1 OE , MYOD1 NC, and MYOD1 KO cells compared to day 0, respectively (Tab. S4, Fold-Change > 1.5; adjusted- P value < 0.05). The up-regulated DEGs of the three adipocyte lines on day 5 were significantly enriched in cell division and DNA replication, which is an essential step in adipocyte differentiation. At the same time, down-regulated DEGs are also significantly enriched in muscle structure development (Table 1 , Tab. S5), indicating that muscle development-specific genes are also considerably suppressed during chicken adipocyte differentiation. Notably, we found that the lipid biosynthetic process was only enriched in the DEGs up-regulated on day 5 in MYOD1 KO and MYOD1 NC cells, but not in MYOD1 OE cells (Table 1 , Tab. S5). Furthermore, to test whether MYOD1 over-expression impacts the lipid biosynthetic process in a statistical threshold-independent manner, we directly compared expression fold-changes of known lipid biosynthesis genes (from Genecards database: Pathcards: Fatty Acyl-CoA Biosynthesis & Triglyceride Biosynthesis) during adipocyte differentiation and found that most lipid biosynthesis genes tended to be up-regulated on day 5 of MYOD1 KO cells, but down-regulated in MYOD1 OE cells (Fig. 2 l, Tab. S6), which consistent with observations from our phenotype-profiling experiments and indicating that MYOD1 is a repressor for the adipogenesis. The expression of miR-206 can be significantly induced in MYOD1 OE cells MYOD1 has been confirmed to induce highly conserved muscle-specific microRNAs (myomiRs) expression by binding to miRNA upstream regions, including miR-1, miR-133a, miR-133b, and miR-206, and these myomiRs are widely directly involved in the inhibition of other pathways [ 31 – 35 ]. qPCR assay found that MYOD1 OE cells expressed significantly higher levels of miR-1, miR-133a, miR-133b, and miR-206 (Fig. 3 a), and miR-206 has the highest expression fold change (≈ 40 fold). MYOD1 KO cells also significantly reduce miR-206 expression (Fig. 3 b). Also, we found multiple binding sites of MYOD1 in the 2000 bp upstream region of gga-miR-206, especially within 1200 bp (Tab. S7). Thus, we hypothesize that miR-206 may be an essential mediator for MYOD1 to inhibit adipocyte differentiation. To validate the regulatory relationship between MYOD1 and miR-206 transcription, two distinct lengths of upstream regions (1876 and 1234 bp) of the gga-miR-206 transcription start site were amplified and cloned into pGL4.10 vector to detect the promoter activity. After cotransfecting with pGL-TK and pcNA3.1-MYOD1 into ICPs, both of pGL4.1(− 1876 bp) and pGL4.1(− 1234 bp) showed a significantly increasing promoter activity compared to cotransfected with pGL-TK and pcNA3.1 ( p < 0.05) (Fig. 3 c). Our results showed that the chicken MYOD1 can bind to 1200 bp upstream region of gga-miR-206 and promote the transcription activity of miR-206 in ICPs, as previously reported [ 36 ]. miR-206 is a downstream gene of MYOD1 that inhibits adipocyte differentiation We then examined the expression and function of miR-206 during adipocyte differentiation. The expression of miR-206, similar to the protein level of MYOD1, was significantly down-regulated after differentiation (Fig. 3 d), suggesting a synergistic relationship between them, and both of them were involved in this process. Therefore, we transfected miR-206 mimic and inhibitor into ICPs, respectively. Transfection-mediated gene transfer resulted in up to 840-fold elevation in the expression of miR-206 (Fig. 3 e). Over-expression of miR-206 also significantly inhibits lipid droplet accumulation and reduced adipocyte marker genes expression (Fig. 3 f, g), whereas the inhibition of miR-206 promotes adipocyte differentiation (Fig. 3 h-j). Together, these results demonstrated that miR-206 could inhibit adipocyte differentiation. To examine whether MYOD1 targets miR-206 to regulate adipocyte differentiation, we transfected MYOD1 OE cells with miR-206 inhibitor and knock-down of miR-206 could counteract the inhibition effect of MYOD1 over-expression on adipocyte differentiation (Fig. 3 k, l). Similarly, over-expression of miR-206 also significantly inhibited lipid accumulation in MYOD1 KO cells (Fig. S1a-c). Together, these results suggest that the inhibitory effect of MYOD1 on adipocyte differentiation was achieved by its downstream gene miR-206. KLF4 is a miR-206 target gene, functioning as an activator of adipocyte differentiation In order to explore the potential mechanism of miR-206 in regulating adipocyte differentiation, we performed bioinformatic analysis. Three bioinformatic tools (TargetScan, miRDB, and miRTarBase) were employed to identify the candidate targets of miR-206 (Tab. S8). All three programs predicted a total of 16 miR-206 target genes, such as KLF4, CCND2, and UTRN (Fig. 4 a). Among them, we noticed that KLF4, a key activator of adipocyte differentiation, contains the miR-206 binding site in its 3′-UTR (Fig. 4 b). This binding site is conserved among avian (Fig. 4 c), suggesting the biological relevance of miR-206 in regulating KLF4 expression in avian. mRNA-seq also showed that the fold change (day 5 vs. day 0) of KLF4 expression was the highest in the differentiated MYOD1 KO cells, followed by the MYOD1 NC , and the lowest in the MYOD1 OE cells (Fig. 4 d). To validate whether KLF4 is the target gene of miR-206, the 3ʹ-UTR of chicken KLF4 containing the wild-type or mutated miR-206-binding sites were cloned into pmirGLO vector, and the luciferase activity was found to be significantly decreased in ICPs cotransfected with the vector carrying the wild-type-binding site in the presence of miR-206 mimics, but not in ICPs carrying the mutated-binding site (Fig. 4 e). On the other hand, the luciferase activity was found to be significantly increased in ICPs cotransfected with the vector carrying the wild-type-binding site in the presence of miR-206 inhibitor, but not in ICPs carrying the mutated-binding site (Fig. 4 f). In addition, over-expression of miR-206 inhibited the mRNA and protein level of KLF4 (Fig. 4 g, h), and the inhibition of miR-206 promoted the mRNA and protein level of KLF4 (Fig. 4 i, j). Therefore, the above results indicated that KLF4 is the miR-206 target gene. During adipocyte differentiation, KLF4 mRNA has gradually up-regulated its expression until day 3 (Fig. 4 k). However, the protein level for KLF4 reached the highest on the day 1 after differentiation and disappeared on day 3 (Fig. 4 l). Our results, as the previous report, showed that KLF4 was induced very early following the induction of adipogenesis, and function as an early regulator of adipocyte development has been attributed to its capacity to induce C/EBPβ expression [ 37 , 38 ]. Furthermore, we cotransfected miR-206 and pcDNA3.1-KLF4 into ICPs, and KLF4 over-expression is able to counteract the inhibition effect of miR-206 on adipocyte differentiation (Fig. 4 m, n). Therefore, KLF4 is the miR-206 target gene, which can function as an activator of adipocyte differentiation. Based on the above results, we can deduce MYOD1 inhibits adipocyte differentiation by inhibiting the expression of KLF4. Western blot show MYOD1 KO cells expressed significantly higher protein levels of KLF4, while MYOD1 OE cells expressed lower protein levels of KLF4 (Fig. 5 a). Finally, over-expression of KLF4 also significantly promoted adipocyte differentiation in MYOD1 OE cells (Fig. 5 b, c). In addition, over-expression of MYOD1 could significantly inhibit the expression of KLF4's target genes C/EBPβ, while inhibiting miR-206 or over-expression of KLF4 in MYOD1 OE cells will significantly increase C/EBPβ expression. Discussion Avian are important farm animals throughout the world, producing eggs and high-quality meat for humans. Muscle mass and fat content are both important traits for meat-producing chickens but attaining an appropriate muscle and fat ratio is an excellent challenge for the broiler industry [ 39 ]. Discovering functional genes that can simultaneously regulate muscle and adipocyte development is a key step to improve these traits [ 40 ]. Previous and current transcriptomic data have shown that many muscle development genes were differentially expressed during adipocyte differentiation. Among these, our study investigated MYOD1 inhibited avian adipocyte differentiation via the miRNA-206/KLF4 axis (Fig. 5 d). We have also identified a negative regulation between MYOD1 and lipid biosynthesis genes during adipogenesis. Previous studies reported that MYOD1 expression in brown fat is significantly reduced, and it inhibits brown fat development through PRDM16 [ 41 ]. A lineage-tracing study reveals that the MYOD1 lineage does not give rise to brown adipocytes, indicating a role of MYOD1 in myogenic cell fate switch in the common progenitors that give rise to both myoblasts and brown preadipocytes [ 20 ]. Moreover, the loss of MYOD1 also facilitates the adipogenic trans-differentiation of C2C12 myoblasts by the miR-133/IGF1R/PI3K/AKT signaling pathway [ 35 ]. These findings revealed a novel function of MYOD1 in adipogenesis. MYOD1 is considered as a master regulator of myogenesis as its expression can induce myogenic differentiation in myoblasts, fibroblasts, and a variety of other cell types [ 18 , 42 , 43 ].In this study, muscle structure development was significantly enriched in the up-regulated DEGs of MYOD1 OE cells, and also enriched in down-regulated DEGs of MYOD1 KO on day 0, which all demonstrate the strong transcriptional regulatory activity of MYOD1 on downstream genes. Whether the ectopic expression of MYOD1 in preadipocytes promoted the myogenesis has not been examined in this study. Still, this evidence makes us believe that the over-expression of MYOD1 can promote the trans-differentiation of preadipocytes into muscle cells. In addition, several co-culture experiments have revealed that adipogenesis is strongly inhibited by the presence of satellite cell-derived myofibres [ 8 , 44 ]. Supportively, the transcriptomic analysis also suggested that MYOD1 would be a repressor of adipogenesis by inhibiting the expression of lipid biosynthesis genes. Similarly, myogenesis was wholly blocked in both the MYOD1/MYF5 and MYOD1/IGF2 double knockout mice. Both results showed potential functions of MYOD1 on adipogenesis [ 45 , 46 ]. On the other hand, myoblasts trans-differentiate into mature adipocytes by ectopic expression of adipogenic transcription factors under conditions permissive for adipogenesis [ 14 ]. The mutual exclusion of the two lineage-specific transcription factors balances and determines the developmental separation of fat and muscle tissue. The current fast-growing and high-energy diet makes the chicken more likely to show myopathy, such as white striping, characterized by more fat in the breast muscles, resulting in meat with higher fat content and lower protein content [ 47 , 48 ]. Combined with previously reported that MYOD1 can promote muscle development, increasing the expression of MYOD1 may be an effective strategy to treat these diseases. Finally, we show that miR-206 is an important mediator of MYOD1 induced inhibition of adipogenesis. The miR-206 is one of the most studied miRs thus far, and it has also been confirmed to be involved in the pathogenesis of many diseases, including heart failure, chronic obstructive pulmonary disease, and various types of cancers [ 49 , 50 ]. In chicken, miR-206 is significantly associated with broiler birthweight [ 36 ]. Various TFs essential for skeletal muscle development have been shown to regulate miR-206 expression during myogenic differentiation, such as MYF5, MYOD1, MYOG, and MEF2C [ 51 – 53 ]. In mammals, miR-206 promotes apoptosis, induce cell cycle arrest, and inhibit cell migration and adipocyte differentiation by targeting c-Met and its downstream PI3K/AKT pathway [ 54 , 55 ]. Through TargetScan and miRDB analysis, however, c-MET was not the target gene of gga-miR-206 (Tab. S8). And the potential binding site of gga-miR-206 is also not in the 3′-UTR of c-Met (Tab. S9), which may be due to a divergence in evolution. KLF4 has been shown to be induced very early following the induction of adipogenesis, and knock-down of KLF4 inhibits adipogenesis [ 37 ]. The ability of KLF4 to function as an early regulator of adipocyte development has been attributed to its capacity to induce C/EBPβ expression [ 37 ]. C/EBPβ, an important early factor of adipogenesis, is responsible for inducing C/EBPα and PPARγ, which are the two master transcription factors for terminal adipocyte differentiation [ 56 , 57 ]. Indeed, in this study, we found that C/EBPβ, C/EBPα, and PPARγ were significantly inhibited in MYOD1 OE cells than in MYOD1 NC , but they were increased after over-expression of KLF4 or inhibition of miR-206, suggesting a possible involvement of KLF4 and C/EBPβ in the inhibition of MYOD1 on C/EBPα and PPARγ transcription. Conclusions In summary, this study provides a new insight into that MYOD1 also works as the repressor of adipocyte differentiation via miR-206/KLF4 axis in avian adipocyte model. Considering the significant role of adipocyte differentiation in the formation and function of adipose, clarification of the mechanism of MYOD1-mediated regulation of adipocyte differentiation is essential for exploring strategies for the treatment of metabolic disorders, including white striping. In combination with previous findings of the beneficial role of MYOD1 in muscle differentiation, we proposed that MYOD1 may be a crucial target for improving the ratio of muscle to fat in avian. Abbreviations A-FABP: Fatty Acid Binding Protein 4; C/EBPs: CCAAT Enhancer Binding Proteins; CDS: Coding sequence; c-MET: MET Proto-Oncogene, Receptor Tyrosine Kinase; CRISPR: Clustered Regularly Interspaced Short Palindromic Repeats; DEGs: Differentially expressed unigenes; FBS: Foetal bovine serum; GO: Gene Ontology; KLF4: Kruppel Like Factor 4; MYOD1: Myogenic Differentiation 1; PPARγ: Peroxisome Proliferator Activated Receptor Gamma; RT-qPCR: Quantitative real-time PCR; RNA-Seq: High-throughput sequencing of RNA; UTR: Untranslated region Declarations Acknowledgements We thank the Poultry Breeding Group of the College of Animal Science and Technology, Northeast Agricultural University, for providing the ICPs line. Funding The work was supported by the National Waterfowl-Industry Technology Research System (CARS-42), National Nature Science Foundation of China (31972525, 31572388), Beijing Municipal Science & Technology Commission (Z181100002418008), Key-Area Research and Development Program of Guangdong Province (2020B020222003). Availability of data and materials The data analyzed during the current study are available from the corresponding author on reasonable request. Authors’ contributions ZCH conceived and designed the experimental plan. ZW, XQL and SRC collected samples and performed the experiments. ZW, QSZ and ZTY participated in bioinformatics analyses. ZW, QSZ, NY and ZCH drafted and revised this manuscript. All authors read and approved the final manuscript. Ethics statement Collection of adipose samples for use in the described experiments were conducted following methods approved by the Animal Care and Use Committee of China Agricultural University (permit number: SYXK 2007–0023). 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Supplementary Files FigureS1.tif SupplementaryInformation.docx Tab.S1.xlsx Tab.S2.xlsx Tab.S3.xlsx Tab.S4.xlsx Tab.S5.xlsx Tab.S6.xlsx Tab.S7.xlsx Tab.S8.xlsx Tab.S9.xlsx Cite Share Download PDF Status: Published Journal Publication published 05 May, 2021 Read the published version in Journal of Animal Science and Biotechnology → Version 1 posted Review # 2 received at journal 17 Dec, 2020 Editorial decision: Major revision 17 Dec, 2020 Reviewer # 3 agreed at journal 06 Dec, 2020 Review # 1 received at journal 17 Nov, 2020 Reviewer # 2 agreed at journal 08 Nov, 2020 Editor assigned by journal 08 Nov, 2020 Reviewers invited by journal 08 Nov, 2020 Reviewer # 1 agreed at journal 08 Nov, 2020 Submission checks completed at journal 08 Nov, 2020 Editor invited by journal 08 Nov, 2020 First submitted to journal 05 Nov, 2020 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-107745","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research","associatedPublications":[],"authors":[{"id":4734659,"identity":"1a0bbd2a-824c-4441-bc38-a51fef6517b9","order_by":1,"name":"Zheng Wang","email":"","orcid":"","institution":"China Agricultural University","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Zheng","middleName":"","lastName":"Wang","suffix":""},{"id":4734660,"identity":"789d0a97-95f3-4c4f-9778-2c6ee06f3164","order_by":2,"name":"Qiang-Sen Zhao","email":"","orcid":"","institution":"China Agricultural University","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Qiang-Sen","middleName":"","lastName":"Zhao","suffix":""},{"id":4734669,"identity":"50fd4966-3955-499e-bb9d-0f26e49178d9","order_by":3,"name":"Xiao-Qin Li","email":"","orcid":"","institution":"China Agricultural University","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Xiao-Qin","middleName":"","lastName":"Li","suffix":""},{"id":4734670,"identity":"51562d70-1a77-46b4-9d73-3ad095d98b0d","order_by":4,"name":"Zhong-Tao Yin","email":"","orcid":"","institution":"China Agricultural University","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Zhong-Tao","middleName":"","lastName":"Yin","suffix":""},{"id":4734671,"identity":"bf0d6968-51a4-4350-91cb-f45b1dd4cfd1","order_by":5,"name":"Si-Rui Chen","email":"","orcid":"","institution":"China Agricultural University","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Si-Rui","middleName":"","lastName":"Chen","suffix":""},{"id":4734672,"identity":"89e2598e-603b-4e14-9f37-b5f39827a07e","order_by":6,"name":"Sen Wu","email":"","orcid":"","institution":"China Agricultural University","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Sen","middleName":"","lastName":"Wu","suffix":""},{"id":4734673,"identity":"fc4b7c05-cbe5-4977-b263-363dc39348b3","order_by":7,"name":"Ning Yang","email":"","orcid":"","institution":"China Agricultural University","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Ning","middleName":"","lastName":"Yang","suffix":""},{"id":4734666,"identity":"1eb3ff39-c566-4b35-af9e-5f1dc22f88f9","order_by":8,"name":"Zhuo-cheng hou","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAsElEQVRIiWNgGAWjYFACHiCugDAlSNByhmQtjG2kaJFvP3vwMe88O3mDA8wHb/Mw2OUR1MLYk5dszLst2XDDAbZkax6G5GKCWpgleMykebcdYNxwAMjgYTiQ2EBICxtYy5wD9hsO8H8jTgsPWEvDgUSgLWzEaZHgyTE2nHMsOXnmYTZjyzkGyYS1yLefMXzwpsbOtu9488MbbyrsCGtBAGYQYUC8+lEwCkbBKBgFeAAAKGcycoAj1mcAAAAASUVORK5CYII=","orcid":"https://orcid.org/0000-0002-9506-612X","institution":"China Agricultural University","correspondingAuthor":true,"submittingAuthor":false,"prefix":"","firstName":"Zhuo-cheng","middleName":"","lastName":"hou","suffix":""}],"badges":[],"createdAt":"2020-11-13 13:45:36","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-107745/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-107745/v1","draftVersion":[],"editorialEvents":[{"content":"https://doi.org/10.1186/s40104-021-00579-x","type":"published","date":"2021-05-05T19:07:10+00:00"}],"editorialNote":"","failedWorkflow":false,"files":[{"id":3695306,"identity":"c9746f76-650c-4f16-82b2-9dd70a68e6a1","added_by":"auto","created_at":"2020-11-19 15:36:13","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":364053,"visible":true,"origin":"","legend":"MYOD1 is down-regulated in the early stage of avian adipocyte differentiation. (a, b) MYOD1 mRNA levels in different time points during the differentiation of Pekin duck subcutaneous preadipocytes (mRNA-Seq) and ICPs (qPCR). (c) MYOD1 protein levels at different time points during ICPs differentiation were determined by Western blotting.","description":"","filename":"Fig.1.png","url":"https://assets-eu.researchsquare.com/files/rs-107745/v1/630128c43046abc05ce6e4d9.png"},{"id":3695307,"identity":"b61e5a1f-89b1-4e3f-acb8-ac757c1ee677","added_by":"auto","created_at":"2020-11-19 15:36:14","extension":"png","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":2574569,"visible":true,"origin":"","legend":"MYOD1 is a repressor of avian adipocyte differentiation. (a, b) MYOD1OE cell significantly promoted MYOD1 mRNA and protein expression in ICPs. (c) Representative images of MYOD1OE cells reduced the lipid droplet formation by Oil Red O staining on day 3. (d) Comparison of the lipid droplet content of MYOD1OE and MYOD1NC cells obtained by oil red O staining and extraction methods. (e) mRNA levels of adipocyte genes PPARγ, A-FABP, C/EBPα, and C/EBPβ were analyzed with qPCR. (f) Upper part: schematic diagram of MYOD1 exon1 region and the two targeting loci of MYOD1 sgRNA (red). Lower part: DNA sequence map around the targeting locus of the cleaved band amplified from ICPs transfected with both sgRNAs. (g, h) MYOD1KO significantly reduced MYOD1 mRNA and protein expression in ICPs. (i) Representative images of MYOD1KO cells promoted the lipid droplet formation by Oil Red O staining on day 3. (j) Comparison of the lipid droplet content of MYOD1OE and MYOD1NC cells obtained by oil red O staining and extraction methods. (k) mRNA levels of adipocyte marker genes were analyzed with qPCR. (l) Compare the fold change of known lipid biosynthesis genes in MYOD1OE, MYOD1NC, and MYOD1KO cells on day 5 compared to day 0. Data are shown as mean ± SD of three biological replicates. Three independent sample t-test was used to analyze the statistical differences between groups. *, P < 0.05.","description":"","filename":"Fig.2.png","url":"https://assets-eu.researchsquare.com/files/rs-107745/v1/dd550fbdd4643e3f98316978.png"},{"id":3695308,"identity":"6f79b8d2-3674-4500-840d-cc9c355a6538","added_by":"auto","created_at":"2020-11-19 15:36:14","extension":"png","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":3127701,"visible":true,"origin":"","legend":"The inhibitory effect of MYOD1 on adipocyte differentiation was achieved by its downstream gene miR-206. (a) over-expression of MYOD1 up-regulated miR-1, miR-133a, miR-133b, and miR-206 expression in ICPs. (b) MYOD1 knockout down-regulated miR-1, miR-133a, miR-133b, and miR-206 expression in ICPs. (c) MYOD1 over-expression promoted the relative luciferase activity of the pGL4.1 (−1234 bp) and pGL4.1(−1876 bp) reporter in ICPs. (d) Relative miR-206 expression during ICPs differentiation. (e) Transfected with miR-206 mimic significantly promoted miR-206 expression in ICPs. (f) Over-expression of miR-206 reduced the lipid droplet formation by Oil Red O staining on day 3. (g) mRNA levels of adipocyte marker genes were analyzed with qPCR. (h) Transfected with miR-206 inhibitor significantly reduced miR-206 expression in ICPs. (i) Inhibition of miR-206 promoted the lipid droplet formation by Oil Red O staining on day 3. (j) mRNA levels of adipocyte marker genes were analyzed with qPCR. (k) Inhibition of miR-206 could counteract the inhibition effect of MYOD1 over-expression on adipocyte differentiation. (l) mRNA levels of adipocyte marker genes were analyzed with qPCR. Data are shown as mean ± SD of three biological replicates. Three independent sample t-test was used to analyze the statistical differences between groups. *, P < 0.05.","description":"","filename":"Fig.3.png","url":"https://assets-eu.researchsquare.com/files/rs-107745/v1/def9185957f0ec1453be165d.png"},{"id":3695309,"identity":"f1409961-9ed0-437a-8d83-f7471692339f","added_by":"auto","created_at":"2020-11-19 15:36:14","extension":"png","order_by":4,"title":"Figure 4","display":"","copyAsset":false,"role":"figure","size":2863021,"visible":true,"origin":"","legend":"KLF4 is the miR-206 target gene, functioning as an activator of adipocyte differentiation. (a) Overlap of three miRNA target bioinformatic prediction algorithms. (b) The potential binding site of miR-206 in the KLF4 mRNA 3′-UTR. (c) The potential binding site (red) of miR-206 in the KLF4 mRNA 3′ -UTR is highly conserved among vertebrates. (d) Compare the fold change of KLF4 in MYOD1OE, MYOD1NC, and MYOD1KO cells at day 5 compared to day 0. (e, f) Dual-luciferase reporter assay indicated that miR-206 could bind to the predicted binding site of the KLF4 mRNA 3′-UTR. (g, h) miR-206 over-expression inhibited KLF4 mRNA and protein expression in ICPs. (i, j) miR-206 inhibition promoted KLF4 mRNA and protein expression in ICPs. (k, l) KLF4 mRNA and protein levels at different time points during ICPs differentiation. (m) Over-expression of KLF4 could counteract the inhibition effect of miR-206 over-expression on adipocyte differentiation. (n) mRNA levels of adipocyte marker genes were analyzed with qPCR. Data are shown as mean ± SD of three biological replicates. Three independent sample t-test was used to analyze the statistical differences between groups. *, P < 0.05.","description":"","filename":"Fig.4.png","url":"https://assets-eu.researchsquare.com/files/rs-107745/v1/5b395abf966fda74783e083d.png"},{"id":3695310,"identity":"001e96b7-2ac9-4dbd-a4c3-96942e357349","added_by":"auto","created_at":"2020-11-19 15:36:14","extension":"png","order_by":5,"title":"Figure 5","display":"","copyAsset":false,"role":"figure","size":979578,"visible":true,"origin":"","legend":"MYOD1 affected KLF4 expression. (a) Western blot analysis of the protein levels of KLF4 in MYOD1OE, MYOD1NC, and MYOD1KO cells. (b) mRNA levels of adipocyte marker genes were analyzed with qPCR. (c) Representative images of KLF4 over-expression promoted the lipid droplet formation by Oil Red O staining (red). (d) Model of the MYOD1-mediated regulatory pathway for adipocyte differentiation. Data are shown as mean ± SD of three biological replicates. Three independent sample t-test was used to analyze the statistical differences between groups. *, P < 0.05.","description":"","filename":"Fig.5.png","url":"https://assets-eu.researchsquare.com/files/rs-107745/v1/882bcfaaac1279d9c3a7b1fe.png"},{"id":13616712,"identity":"2aa1f8ea-6364-45fa-99ae-20e8df0d81f3","added_by":"auto","created_at":"2021-09-17 06:50:42","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":5336328,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-107745/v1/5e163c33-9da9-45a7-b5da-2cfbc9745610.pdf"},{"id":3695311,"identity":"733a4de0-6de9-447b-a17b-bbd95fc08f98","added_by":"auto","created_at":"2020-11-19 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15:36:17","extension":"xlsx","order_by":9,"title":"","display":"","copyAsset":false,"role":"supplement","size":12547,"visible":true,"origin":"","legend":"","description":"","filename":"Tab.S7.xlsx","url":"https://assets-eu.researchsquare.com/files/rs-107745/v1/d7d96c0e2229526684243d44.xlsx"},{"id":3695320,"identity":"4f278817-5516-45e5-8a39-f88ceed3f847","added_by":"auto","created_at":"2020-11-19 15:36:17","extension":"xlsx","order_by":10,"title":"","display":"","copyAsset":false,"role":"supplement","size":109711,"visible":true,"origin":"","legend":"","description":"","filename":"Tab.S8.xlsx","url":"https://assets-eu.researchsquare.com/files/rs-107745/v1/fb0198a5e7f0e1e8c7ec8a35.xlsx"},{"id":3695321,"identity":"0377da77-f886-4379-828e-58d7e52aba02","added_by":"auto","created_at":"2020-11-19 15:36:17","extension":"xlsx","order_by":11,"title":"","display":"","copyAsset":false,"role":"supplement","size":12140,"visible":true,"origin":"","legend":"","description":"","filename":"Tab.S9.xlsx","url":"https://assets-eu.researchsquare.com/files/rs-107745/v1/7596c8d5df0c55510847bd46.xlsx"}],"financialInterests":"","formattedTitle":"\u003cp\u003eMYOD1 Inhibits Avian Adipocyte Differentiation via miRNA-206/KLF4 Axis\u003c/p\u003e","fulltext":[{"header":"Background","content":" \u003cp\u003eAdipocytes are unique in the quantity of lipids that they can store, the rapid release of these calories, and protein for use by other organs, which can profoundly affect our health [\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e]. Avian has been utilized as a good animal model for studying basic adipogenesis mechanisms, which can be directly used for genetic improvement of avian fat deposition [\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e]. Adipogenesis is driven by an increase in adipocyte cell size (hypertrophy) or number (hyperplasia) [\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e]. Adipocyte differentiation is regulated by an elaborate network of transcription factors, and understanding the underlying transcriptional networks is relevant and timely both from a basic and medical research perspective [\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eSeveral studies and observations showed fat deposits in the muscles will cause the loss of muscle quality and are more likely to induce metabolic diseases in various animals [\u003cspan additionalcitationids=\"CR6 CR7\" citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e]. Adipose and muscle tissues originate from mesenchymal stem cells (MSCs) [\u003cspan additionalcitationids=\"CR10 CR11\" citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e], which are the multipotent and relevant targets for therapies aiming to enhance tissue regeneration [\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e]. In response to lineage-specific inducers, MSCs from different depots can differentiate into many different, mutually exclusive lineages, including the adipocyte and myoblast lineages [\u003cspan additionalcitationids=\"CR15\" citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e]. It has been shown that peroxisome proliferator-activated receptor γ (PPARγ) and myoblast determination protein 1 (MYOD1) are master regulators of adipogenesis and myogenesis, respectively [\u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e, \u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e], and that the MYOD1-driven and PPARγ-driven differentiation programs are mutually exclusive [\u003cspan additionalcitationids=\"CR20\" citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e]. However, the functional contributions of muscle development genes to adipocyte differentiation remain largely unexplored.\u003c/p\u003e \u003cp\u003eOur previous work found many muscle development genes involved in the early regulation of adipocyte differentiation [\u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e]. In this study, MYOD1, a representative of muscle development, was significantly down-regulated in the early stage of avian adipocyte differentiation. Studies of loss-of-function and gain-of-function demonstrated that MYOD1 is a key repressor of adipocyte differentiation by interacting with miR-206/ Kruppel Like Factor 4 (KLF4) axis. The mRNA-seq showed that over-expression of MYOD1 in adipocytes inhibits the expression of most lipid biosynthesis genes and also promotes the expression of some myogenic genes. Our findings imply that a novel function of MYOD1 in adipocyte differentiation. Thus, affecting MYOD1 might represent a viable strategy to improve fat ratio to muscle in avian.\u003c/p\u003e "},{"header":"Materials And Methods","content":" \u003cdiv id=\"Sec3\" class=\"Section2\"\u003e \u003ch2\u003ePlasmid construction`\u003c/h2\u003e \u003cp\u003eMYOD1- Knock-out and Knock-in plasmids: Using the chMYOD1 sequence obtained from the NCBI database (Accession: NC_006092.5), we designed gRNA sequences targeting exon1 of chMYOD1, known as sgRNA1: CGACCCGTGCTTCAACACGT and sgRNA2: GCGGCTCAGCAAGGTCAACG. We synthesized the oligo-DNAs corresponding to these gRNAs. We annealed them to a T7 promoter-driven Cas9 and to a U6 promoter-driven gRNA vector in order to obtain two gRNA-expressing plasmids. In order to construct the MYOD1-over-expression vector, the full-length coding sequence of chMYOD1 (NCBI Reference Sequence: NM_204214.2) was amplified from chicken subcutaneous adipose cDNA by PCR, and cloned into the CMV promoter-driven piggyBac and an EF1α promoter-driven GFP plasmid by replacing GFP using EcoRI and SalI (New England Biolabs, Ipswich, MA, USA). Above plasmids were a gift from Professor Sen Wu (State Key Laboratory of Agrobiotechnology, College of Biological Sciences, China Agricultural University).\u003c/p\u003e \u003cp\u003epmirGLO dual-luciferase reporters: The 3\u0026prime;-UTR fragment of KLF4 (NCBI Reference Sequence: XM_004949369.3) containing the binding sites were amplified by PCR from chicken subcutaneous adipose cDNA and then cloned into pmirGLO vector. The mutant vectors were constructed by PCR mutagenesis. Six seed sequences were successfully mutated from CATTCC to GTGAAG for the KLF4-3\u0026prime;-UTR vector.\u003c/p\u003e \u003cp\u003eGene over-expression vector: The MYOD1 and KLF4 over-expression vector was constructed according to the user manual of the Easy Ligation Kit (Sidansai, Shanghai, China). MYOD1 and KLF4 coding sequence (NCBI Reference Sequence: NM_204214.2 and XM_004949369.3) were amplified from chicken subcutaneous adipose cDNA by PCR. The PCR product was cloned into the pcDNA3.1 vector. The successful MYOD1 and KLF4, over-expression vector, was confirmed by DNA sequencing.\u003c/p\u003e \u003cp\u003emiR-206 promoter reporter plasmid: A 1876\u0026nbsp;bp fragment of the miR-206 promoter was isolated by PCR using the primers listed in \u003cb\u003eTab. S1\u003c/b\u003e. After the PCR product was digested with KpnI and SmaI restriction sites, the insertion was ligated into the pGL4.1 vector (Promega, Madison, WI, USA) to create the expression vector pGL4.1(-1876). After pGL4.1(-1876) was sequenced, this construct was used as a template, and pGL4.1(-1234) was isolated by PCR. All cloning plasmids were confirmed by sequencing.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec4\" class=\"Section2\"\u003e \u003ch2\u003eRNA extraction, cDNA synthesis, and quantitative real-time PCR\u003c/h2\u003e \u003cp\u003eTotal RNA was isolated from the cells using RNAiso reagent (Takara, Otsu, Japan) according to the manufacturer's instruction. According to the manufacturer's manual, the reverse transcription reaction for mRNA was performed with PrimeScript RT reagent Kit (Perfect Real-Time) (Takara, Otsu, Japan). The reverse transcription reaction for miRNA was using miRNA First-Strand cDNA Synthesis SuperMix (Transgen, Beijing, China). The specific qRT-PCR Primer of mRNA and miRNA were designed using Primer 3 software (version 0.4.0, Howard Hughes Medical Institute). Primer sets are listed in \u003cb\u003eTab. S1\u003c/b\u003e. With KAPA SYBR FAST qPCR Kit (KAPA Biosystems, MA, USA), qPCR program was carried out in ABI-7500 PCR machine (Applied Biosystems, MA, USA), and the method was as described [\u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e]. All reactions were run in triplicate.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec5\" class=\"Section2\"\u003e \u003ch2\u003eCell culture\u003c/h2\u003e \u003cp\u003eA cell line of immortalized chicken preadipocytes (ICPs) [\u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e24\u003c/span\u003e] was a kind gift of the Poultry Breeding Group of the College of Animal Science and Technology, Northeast Agricultural University, and was cultured in DMEM/F12 (Gibco, Gaithersburg, MD, USA) supplemented with 10% fetal bovine serum (Hyclone, Logan, UT, USA), and 0.2% penicillin/streptomycin (Invitrogen, Carlsbad, CA, USA). To induce ICPs differentiation, we added 160\u0026nbsp;\u0026micro;M sodium oleate (Sigma Life Science, St. Louis, MO, USA) to the medium [\u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eFor MYOD1\u003csup\u003eOE\u003c/sup\u003e and MYOD\u003csup\u003eKO\u003c/sup\u003e cells selection, ICPs were seeded in 6-well plates for further transfection using Lipofectamine 3000 (Invitrogen, Carlsbad, CA, USA). After a 48\u0026nbsp;h recovery period, the cells were supplemented with 3\u0026nbsp;\u0026micro;g/mL of puromycin (Sigma-Aldrich, MO, USA) in the culture medium for 12 days until clone formation. Cells were harvested using 0.25% trypsin/EDTA (Gibco, Gaithersburg, MD, USA), and the cell density was calculated using a handheld automated cell counter (Millipore, Darmstadt, Germany). Single cells were plated in each well of a 96-well plate by limiting dilution and then cultured for 10 d in the cell culture medium. The medium was replaced every 4 d. Confluent cell colonies were propagated and genotyped by PCR and sequencing.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec6\" class=\"Section2\"\u003e \u003ch2\u003eTransfections\u003c/h2\u003e \u003cp\u003eTransfections were performed with Lipofectamine 3000 reagent (Invitrogen, Carlsbad, CA, USA) according to the manufacturer's direction. Nucleic acids were diluted in OPTI-MEM Medium (Gibco, Gaithersburg, MD, USA). All experiments were carried out at least three times independently.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec7\" class=\"Section2\"\u003e \u003ch2\u003eOil Red O staining and quantification\u003c/h2\u003e \u003cp\u003eThe cells were washed with PBS and fixed in 4% formaldehyde for 10\u0026nbsp;min. Then the cells were stained with Oil-Red-O working solution (Solarbio, Beijing, China) according to the manufacturer's manual. After another wash with PBS, the cell nuclei were counterstained with Hoechst 33342 (Solarbio, Beijing, China). Morphological changes were observed and photographed under an inverted fluorescent microscope (Nikon). The Oil-Red-O dyes were then extracted in isopropanol solution containing 4% Nonidet P-40 and quantified by NanoDrop 2000C spectrophotometers (Thermo Fisher Scientific, San Jose, CA, USA) at 510\u0026nbsp;nm.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec8\" class=\"Section2\"\u003e \u003ch2\u003eRNA oligonucleotides\u003c/h2\u003e \u003cp\u003eThe miR-206 mimics, negative control (NC) mimic, miR-206 inhibitors and NC inhibitor were all purchased from GenePharma (GenePharma, Shanghai, China).\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec9\" class=\"Section2\"\u003e \u003ch2\u003eDual-luciferase reporter assay\u003c/h2\u003e \u003cp\u003eFor the promoter activity assays, ICPs were cotransfected with reporter plasmid and MYOD1 over-expression vector or control vector, and the TK-Renilla reporter was also cotransfected to each sample as an internal control using the Lipofectamine 3000 reagent (Invitrogen, Carlsbad, CA, USA) in 48-well plates. The miRNA target verification assay was also performed in ICPs. Wild-type or mutant KLF4-3\u0026prime;-UTR dual-luciferase reporter (200\u0026nbsp;ng) and miR-206 mimic or NC mimic (50\u0026nbsp;nM) were cotransfected into ICPs. After 48\u0026nbsp;h transfection, cells were washed by PBS twice, and the activities of Firefly and Renilla luciferase were measured according to the manual of Luc-pair Duo-Luciferase Assay Kit 2.0 (GeneCopoeia, Rockville, MD, USA). All the data were acquired by averaging the results from three independent repeats.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec10\" class=\"Section2\"\u003e \u003ch2\u003eWestern blot\u003c/h2\u003e \u003cp\u003eCultured cells were washed with PBS and homogenized with RIPA buffer (Beyotime, Jiangsu, China) containing protease inhibitor cocktail (Beyotime, Jiangsu, China). Protein concentrations were determined using the BCA Protein Assay Kit (Beyotime, Jiangsu, China). Proteins were denatured and subjected to 10% polyacrylamide gel and transferred to methanol-activated PVDF membranes. Blots were probed using the primary antibodies: mouse anti-MYOD1 (1:500; Santa Cruz Biotechnology, USA, Cat# sc-377460), rabbit anti-KLF4 (1:500; Bioss, Beijing, China, Cat# 52850R), mouse anti-GAPDH, (1:5000; Bioworld, St Louis Park, MN, USA, Cat#MB001), overnight at 4\u0026nbsp;\u0026deg;C. After one h incubation with anti-mouse or anti-rabbit HRP‐conjugated second antibody (1:5000, Bioss, Beijing, China, Cat# 40296G, 40295G). Immunodetection was performed using enhanced chemiluminescence (ECL) Western blotting substrate (Beyotime, Jiangsu, China) and detected with FluoChem R imaging system (ProteinSimple, CA, USA).\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec11\" class=\"Section2\"\u003e \u003ch2\u003eRNA-seq analysis\u003c/h2\u003e \u003cp\u003eRaw reads were trimmed to remove adapters and low-quality reads, with Trimmomatic (version 0.39) [\u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e26\u003c/span\u003e]. Trimmed reads were mapped to the chicken reference genome (Ensembl release 100:\u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003eftp://ftp.ensembl.org/pub/release100/fasta/gallus_gallus/dna/Gallus_gallus.GRCg6a.dna.toplevel.fa.gz\u003c/span\u003e\u003c/span\u003e) using HISAT2[\u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e27\u003c/span\u003e]. Read counts for each gene were calculated using Stringtie (v.2.1.2) and normalized by library sequencing depth using the R package DESeq2 (v.1.28.1) after filtering the gene with low expression [\u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e28\u003c/span\u003e]. We used the DEGSeq2 (v.1.28.1) package to identify DEGs between MYOD1\u003csup\u003eNC\u003c/sup\u003e, MYOD1\u003csup\u003eKO\u003c/sup\u003e, and MYOD1\u003csup\u003eOE\u003c/sup\u003e cells at different days (day 0 and day 5). Therefore, samples were excluded from further analysis due to its low global Pearson correlation with the other repeat samples (R\u003csup\u003e2\u003c/sup\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.95). Genes with |log2FC|\u0026ge; 0.585 (or \u0026ge;\u0026thinsp;1) and the Benjamini༆Hochberg (BH) adjusted p-value (adjusted-P value)\u0026thinsp;\u0026lt;\u0026thinsp;0.05 were considered as differentially expressed genes.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec12\" class=\"Section2\"\u003e \u003ch2\u003eFunctional enrichment and prediction of miRNA target genes\u003c/h2\u003e \u003cp\u003eGenes were annotated with gene Symbols from the Uniprot database for functional annotation. Gene ontology (GO) analysis of the enriched genes was performed using the web-based Metascape [\u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e29\u003c/span\u003e] (a gene annotation \u0026amp; analysis resource, \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttp://metascape.org/gp/index.html#/main\u003c/span\u003e\u003c/span\u003e). Putative miRNA targets for miR-206 were predicted by online software, TargetScan (version 7.2, \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttp://www.targetscan.org/\u003c/span\u003e\u003c/span\u003e), miRDB (\u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttp://mirdb.org/\u003c/span\u003e\u003c/span\u003e) as well as miRTarBase (\u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttp://mirtarbase.cuhk.edu.cn/\u003c/span\u003e\u003c/span\u003e) to choose target genes for validation.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec13\" class=\"Section2\"\u003e \u003ch2\u003eStatistical analysis.\u003c/h2\u003e \u003cp\u003eEach experiment was repeated three times, and all results are represented as the mean\u0026thinsp;\u0026plusmn;\u0026thinsp;SD. Three independent sample t-test was used to perform the statistically significant difference between groups. The level of significance was presented as \u0026lowast; (\u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.05).\u003c/p\u003e \u003c/div\u003e "},{"header":"Results","content":" \u003cdiv id=\"Sec15\" class=\"Section2\"\u003e \u003ch2\u003eMYOD1 is a repressor of adipocyte differentiation\u003c/h2\u003e \u003cp\u003eWe found that the expression of MYOD1 is significantly down-regulated after the beginning of Pekin duck adipocyte differentiation (Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003ea). To further understand the relationship between MYOD1 and adipocyte differentiation, we detected its expression in adipogenic differentiation of immortalized chicken preadipocytes (ICPs) by qPCR (Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003eb) and Western blot (Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003ec). MYOD1 was also significantly down-regulated its expression after adipocyte differentiation in chicken. These results indicate that MYOD1is involved in the avian adipocyte differentiation process.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cp\u003eTo further determine the roles of MYOD1 in avian adipocyte differentiation, we first performed gain-of-function experiments by using piggyBack delivery [\u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e30\u003c/span\u003e] of MYOD1 into ICPs. As shown in Fig.\u0026nbsp;\u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e2\u003c/span\u003ea and b, transduced MYOD1 clone can significantly induce MYOD1 expression relative to cells transduced with a control vector. Strikingly, over-expression of MYOD1 in ICPs (MYOD1\u003csup\u003eOE\u003c/sup\u003e) significantly blocked adipogenesis (Fig.\u0026nbsp;\u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e2\u003c/span\u003ec, d), as shown by oil red O staining of neutral lipids. Adipocyte markers, such as PPARγ, A-FABP, C/EBPα,and C/EBPβ (Fig.\u0026nbsp;\u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e2\u003c/span\u003ee), were significantly decreased in MYOD1\u003csup\u003eOE\u003c/sup\u003e cells.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cp\u003eWe further sought confirmation of MYOD1 anti-adipogenic activity through loss-of-function studies, in which we would predict enhanced adipose conversion. We transfected ICPs with two single guide RNAs (sgRNAs) targeting the exon 1 of MYOD1 and a Cas9 vector. We established MYOD1-knock-out ICP Clones (MYOD1\u003csup\u003eKO\u003c/sup\u003e) with a 260-bp frame-shifting deletions in MYOD1 (Fig.\u0026nbsp;\u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e2\u003c/span\u003ef), indicating that both gRNAs work efficiently with Cas9 to edit MYOD1. The mutation of MYOD1 also dramatically down-regulated its expression relative to cells transfected with an only Cas9 vector (Fig.\u0026nbsp;\u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e2\u003c/span\u003eg, h). MYOD1\u003csup\u003eKO\u003c/sup\u003e cells demonstrated enhanced adipogenic potential, including greater lipid accumulation (Fig.\u0026nbsp;\u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e2\u003c/span\u003ei, j), and increased the expression of adipocyte marker genes (Fig.\u0026nbsp;\u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e2\u003c/span\u003ek).\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec16\" class=\"Section2\"\u003e \u003ch2\u003eMYOD1 perturb the lipid biosynthetic process\u003c/h2\u003e \u003cp\u003eTo further understand the effect of MYOD1 on adipogenesis, we performed mRNA-Seq experiments in MYOD1\u003csup\u003eOE\u003c/sup\u003e, MYOD1\u003csup\u003eNC\u003c/sup\u003e, MYOD1\u003csup\u003eKO\u003c/sup\u003e cells prior to differentiation (day 0) and day 5 after differentiation. In total, 886 and 1335 differentially expressed genes (DEGs) were up-regulated and down-regulated in MYOD1\u003csup\u003eOE\u003c/sup\u003e cells compared to MYOD1\u003csup\u003eNC\u003c/sup\u003e cells on day 0, respectively (Tab. S2, Fold-Change\u0026thinsp;\u0026gt;\u0026thinsp;2; adjusted-\u003cem\u003eP\u003c/em\u003e value\u0026thinsp;\u0026lt;\u0026thinsp;0.05). GO analysis for DEGs up-regulated in MYOD1\u003csup\u003eOE\u003c/sup\u003e cells are enriched for development processes such as blood vessel development, muscle structure development, and positive regulation of muscle tissue development, while DEGs down-regulated in MYOD1\u003csup\u003eOE\u003c/sup\u003e cells are enriched for extracellular matrix organization, metabolism process, and cell morphogenesis involved in differentiation (Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e, Tab. S3). Also, 256 and 971 DEGs were up-regulated and down-regulated in MYOD1\u003csup\u003eKO\u003c/sup\u003e cells compared to MYOD1\u003csup\u003eNC\u003c/sup\u003e cells on day 0, respectively (Tab. S2, Fold-Change\u0026thinsp;\u0026gt;\u0026thinsp;2; adjusted-\u003cem\u003eP\u003c/em\u003e value\u0026thinsp;\u0026lt;\u0026thinsp;0.05). As expected, GO analysis for genes down-regulated in MYOD1\u003csup\u003eKO\u003c/sup\u003e cells also are enriched for striated muscle cell differentiation and muscle system process. In contrast, genes up-regulated in MYOD1\u003csup\u003eKO\u003c/sup\u003e cells are enriched in the adipogenesis related pathway, including cell morphogenesis in differentiation, regulation of MAPK cascade, and positive regulation of lipid metabolic process (Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e, Tab. S3). These results indicate that although differentiation has not yet begun, the knock-in or knockout of MYOD1 alone seems to have affected preadipocytes characteristics.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab1\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 1\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eGO enrichment analysis of DEGs in MYOD1\u003csup\u003eOE\u003c/sup\u003e, MYOD1\u003csup\u003eNC\u003c/sup\u003e, and MYOD1\u003csup\u003eKO\u003c/sup\u003e cells\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"7\"\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eUp-regulated\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eGene\u003c/p\u003e \u003cp\u003ecount\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eLog\u003c/p\u003e \u003cp\u003e(q-value)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003eDown-regulated\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c6\"\u003e \u003cp\u003eGene\u003c/p\u003e \u003cp\u003ecount\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c7\"\u003e \u003cp\u003eLog\u003c/p\u003e \u003cp\u003e(q-value)\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"4\" rowspan=\"5\"\u003e \u003cp\u003eMYOD1\u003csup\u003eOE\u003c/sup\u003e VS MYOD1\u003csup\u003eKO\u003c/sup\u003e\u003c/p\u003e \u003cp\u003e(Day 0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eblood vessel development\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e74\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-11.19\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003ecell involved in differentiation\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e25\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e-1.35\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003emuscle structure development\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e64\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e9.51\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003eextracellular matrix organization\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e38\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e-1.35\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eheart development\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e56\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-8.84\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003eATP metabolic process\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e21\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e-1.35\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eactin cytoskeleton organization\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e60\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-7.72\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003einorganic cation transmembrane transport\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e36\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e-1.12\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003emuscle tissue development\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e41\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-6.50\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003edevelopmental growth\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e30\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e-0.66\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"4\" rowspan=\"5\"\u003e \u003cp\u003eMYOD1\u003csup\u003eKO\u003c/sup\u003e VS MYOD1\u003csup\u003eNC\u003c/sup\u003e\u003c/p\u003e \u003cp\u003e(Day 0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eregulation of cell morphogenesis\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e18\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-3.09\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003eregulation of system process\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e44\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e-8.02\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003epositive regulation of cell development\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e17\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-2.34\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003eskeletal system development\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e35\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e-5.05\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003ecell involved in differentiation\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e19\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-2.19\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003emuscle structure development\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e37\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e-3.82\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eregulation of MAPK cascade\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e18\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u0026minus;\u0026thinsp;1.89\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003eheart development\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e34\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e-3.82\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eregulation of lipid metabolic process\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e11\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-1.09\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003emuscle system process\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e29\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e-3.66\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"4\" rowspan=\"5\"\u003e \u003cp\u003eMYOD1\u003csup\u003eOE\u003c/sup\u003e\u003c/p\u003e \u003cp\u003eDay 5\u003c/p\u003e \u003cp\u003eVS Day 0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003enuclear division\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e70\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-13.19\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003eactin cytoskeleton organization\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e146\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e-23.46\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003encRNA metabolic process\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e78\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-10.61\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003eheart development\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e128\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e-21.58\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eDNA replication\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e48\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-9.70\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003eskeletal system development\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e118\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e-20.87\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eregulation of cell cycle process\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e83\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-5.79\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003eextracellular structure organization\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e95\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e-16.49\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eribosomal large subunit biogenesis\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e17\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-4.12\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003emuscle structure development\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e126\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e-15.92\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"4\" rowspan=\"5\"\u003e \u003cp\u003eMYOD1\u003csup\u003eNC\u003c/sup\u003e\u003c/p\u003e \u003cp\u003eDay 5\u003c/p\u003e \u003cp\u003eVS Day 0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003enuclear division\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e59\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u0026minus;\u0026thinsp;21.11\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003eextracellular matrix organization\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e46\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e-11.38\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003ecell division\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e71\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-21.11\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003eheart development\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e52\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e-8.01\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003elipid biosynthetic process\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e40\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-2.74\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003emuscle structure development\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e55\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e-7.35\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eregulation of MAPK cascade\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e36\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-1.33\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003eskeletal system development\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e45\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e-6.29\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eglycerophospholipid metabolic process\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e19\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-1.72\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003eregulation of lipid metabolic process\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e35\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e-4.68\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"4\" rowspan=\"5\"\u003e \u003cp\u003eMYOD1\u003csup\u003eKO\u003c/sup\u003e\u003c/p\u003e \u003cp\u003eDay 5\u003c/p\u003e \u003cp\u003eVS Day 0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003ecell division\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e68\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-6.78\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003eextracellular structure organization\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e66\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e-8.36\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eprotein autophosphorylation\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e22\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-4.05\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003eDNA replication\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e44\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e-4.73\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003emitotic nuclear division\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e46\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-4.02\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003eskeletal system development\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e61\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e-3.78\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003elipid biosynthetic process\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e40\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-2.74\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003ephospholipid metabolic process\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e53\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e-3.78\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eregulation of cell cycle process\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e64\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-2.13\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003emuscle structure development\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e56\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e-0.89\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003eTo better understand the effect of MYOD1 on adipogenesis, we re-analyzed the DEGs before and after adipogenic differentiation in MYOD1\u003csup\u003eKO\u003c/sup\u003e, MYOD1\u003csup\u003eNC,\u003c/sup\u003e and MYOD1\u003csup\u003eOE\u003c/sup\u003e cells. A total of 2457, 781, and 1636 DEGs were significantly up-regulated on day 5 of differentiation of MYOD1\u003csup\u003eOE\u003c/sup\u003e, MYOD1\u003csup\u003eNC,\u003c/sup\u003e and MYOD1\u003csup\u003eKO\u003c/sup\u003e cells compared to day 0, respectively (Tab. S4, Fold-Change\u0026thinsp;\u0026gt;\u0026thinsp;1.5; adjusted-\u003cem\u003eP\u003c/em\u003e value\u0026thinsp;\u0026lt;\u0026thinsp;0.05). The up-regulated DEGs of the three adipocyte lines on day 5 were significantly enriched in cell division and DNA replication, which is an essential step in adipocyte differentiation. At the same time, down-regulated DEGs are also significantly enriched in muscle structure development (Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e, Tab. S5), indicating that muscle development-specific genes are also considerably suppressed during chicken adipocyte differentiation. Notably, we found that the lipid biosynthetic process was only enriched in the DEGs up-regulated on day 5 in MYOD1\u003csup\u003eKO\u003c/sup\u003e and MYOD1\u003csup\u003eNC\u003c/sup\u003e cells, but not in MYOD1\u003csup\u003eOE\u003c/sup\u003e cells (Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e, Tab. S5). Furthermore, to test whether MYOD1 over-expression impacts the lipid biosynthetic process in a statistical threshold-independent manner, we directly compared expression fold-changes of known lipid biosynthesis genes (from Genecards database: Pathcards: Fatty Acyl-CoA Biosynthesis \u0026amp; Triglyceride Biosynthesis) during adipocyte differentiation and found that most lipid biosynthesis genes tended to be up-regulated on day 5 of MYOD1\u003csup\u003eKO\u003c/sup\u003e cells, but down-regulated in MYOD1\u003csup\u003eOE\u003c/sup\u003e cells (Fig.\u0026nbsp;\u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e2\u003c/span\u003el, Tab. S6), which consistent with observations from our phenotype-profiling experiments and indicating that MYOD1 is a repressor for the adipogenesis.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec17\" class=\"Section2\"\u003e \u003ch2\u003eThe expression of miR-206 can be significantly induced in MYOD1\u003csup\u003eOE\u003c/sup\u003e cells\u003c/h2\u003e \u003cp\u003eMYOD1 has been confirmed to induce highly conserved muscle-specific microRNAs (myomiRs) expression by binding to miRNA upstream regions, including miR-1, miR-133a, miR-133b, and miR-206, and these myomiRs are widely directly involved in the inhibition of other pathways [\u003cspan additionalcitationids=\"CR32 CR33 CR34\" citationid=\"CR31\" class=\"CitationRef\"\u003e31\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR35\" class=\"CitationRef\"\u003e35\u003c/span\u003e]. qPCR assay found that MYOD1\u003csup\u003eOE\u003c/sup\u003e cells expressed significantly higher levels of miR-1, miR-133a, miR-133b, and miR-206 (Fig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003ea), and miR-206 has the highest expression fold change (\u0026asymp;\u0026thinsp;40 fold). MYOD1\u003csup\u003eKO\u003c/sup\u003e cells also significantly reduce miR-206 expression (Fig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003eb). Also, we found multiple binding sites of MYOD1 in the 2000\u0026nbsp;bp upstream region of gga-miR-206, especially within 1200\u0026nbsp;bp (Tab. S7). Thus, we hypothesize that miR-206 may be an essential mediator for MYOD1 to inhibit adipocyte differentiation. To validate the regulatory relationship between MYOD1 and miR-206 transcription, two distinct lengths of upstream regions (1876 and 1234\u0026nbsp;bp) of the gga-miR-206 transcription start site were amplified and cloned into pGL4.10 vector to detect the promoter activity. After cotransfecting with pGL-TK and pcNA3.1-MYOD1 into ICPs, both of pGL4.1(\u0026minus;\u0026thinsp;1876\u0026nbsp;bp) and pGL4.1(\u0026minus;\u0026thinsp;1234\u0026nbsp;bp) showed a significantly increasing promoter activity compared to cotransfected with pGL-TK and pcNA3.1 (\u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.05) (Fig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003ec). Our results showed that the chicken MYOD1 can bind to 1200\u0026nbsp;bp upstream region of gga-miR-206 and promote the transcription activity of miR-206 in ICPs, as previously reported [\u003cspan citationid=\"CR36\" class=\"CitationRef\"\u003e36\u003c/span\u003e].\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec18\" class=\"Section2\"\u003e \u003ch2\u003emiR-206 is a downstream gene of MYOD1 that inhibits adipocyte differentiation\u003c/h2\u003e \u003cp\u003eWe then examined the expression and function of miR-206 during adipocyte differentiation. The expression of miR-206, similar to the protein level of MYOD1, was significantly down-regulated after differentiation (Fig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003ed), suggesting a synergistic relationship between them, and both of them were involved in this process. Therefore, we transfected miR-206 mimic and inhibitor into ICPs, respectively. Transfection-mediated gene transfer resulted in up to 840-fold elevation in the expression of miR-206 (Fig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003ee). Over-expression of miR-206 also significantly inhibits lipid droplet accumulation and reduced adipocyte marker genes expression (Fig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003ef, g), whereas the inhibition of miR-206 promotes adipocyte differentiation (Fig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003eh-j). Together, these results demonstrated that miR-206 could inhibit adipocyte differentiation.\u003c/p\u003e \u003cp\u003eTo examine whether MYOD1 targets miR-206 to regulate adipocyte differentiation, we transfected MYOD1\u003csup\u003eOE\u003c/sup\u003e cells with miR-206 inhibitor and knock-down of miR-206 could counteract the inhibition effect of MYOD1 over-expression on adipocyte differentiation (Fig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003ek, l). Similarly, over-expression of miR-206 also significantly inhibited lipid accumulation in MYOD1\u003csup\u003eKO\u003c/sup\u003e cells (Fig. S1a-c). Together, these results suggest that the inhibitory effect of MYOD1 on adipocyte differentiation was achieved by its downstream gene miR-206.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec19\" class=\"Section2\"\u003e \u003ch2\u003eKLF4 is a miR-206 target gene, functioning as an activator of adipocyte differentiation\u003c/h2\u003e \u003cp\u003eIn order to explore the potential mechanism of miR-206 in regulating adipocyte differentiation, we performed bioinformatic analysis. Three bioinformatic tools (TargetScan, miRDB, and miRTarBase) were employed to identify the candidate targets of miR-206 (Tab. S8). All three programs predicted a total of 16 miR-206 target genes, such as KLF4, CCND2, and UTRN (Fig.\u0026nbsp;\u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e4\u003c/span\u003ea). Among them, we noticed that KLF4, a key activator of adipocyte differentiation, contains the miR-206 binding site in its 3\u0026prime;-UTR (Fig.\u0026nbsp;\u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e4\u003c/span\u003eb). This binding site is conserved among avian (Fig.\u0026nbsp;\u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e4\u003c/span\u003ec), suggesting the biological relevance of miR-206 in regulating KLF4 expression in avian. mRNA-seq also showed that the fold change (day 5 vs. day 0) of KLF4 expression was the highest in the differentiated MYOD1\u003csup\u003eKO\u003c/sup\u003e cells, followed by the MYOD1\u003csup\u003eNC\u003c/sup\u003e, and the lowest in the MYOD1\u003csup\u003eOE\u003c/sup\u003e cells (Fig.\u0026nbsp;\u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e4\u003c/span\u003ed). To validate whether KLF4 is the target gene of miR-206, the 3ʹ-UTR of chicken KLF4 containing the wild-type or mutated miR-206-binding sites were cloned into pmirGLO vector, and the luciferase activity was found to be significantly decreased in ICPs cotransfected with the vector carrying the wild-type-binding site in the presence of miR-206 mimics, but not in ICPs carrying the mutated-binding site (Fig.\u0026nbsp;\u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e4\u003c/span\u003ee). On the other hand, the luciferase activity was found to be significantly increased in ICPs cotransfected with the vector carrying the wild-type-binding site in the presence of miR-206 inhibitor, but not in ICPs carrying the mutated-binding site (Fig.\u0026nbsp;\u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e4\u003c/span\u003ef). In addition, over-expression of miR-206 inhibited the mRNA and protein level of KLF4 (Fig.\u0026nbsp;\u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e4\u003c/span\u003eg, h), and the inhibition of miR-206 promoted the mRNA and protein level of KLF4 (Fig.\u0026nbsp;\u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e4\u003c/span\u003ei, j). Therefore, the above results indicated that KLF4 is the miR-206 target gene.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cp\u003eDuring adipocyte differentiation, KLF4 mRNA has gradually up-regulated its expression until day 3 (Fig.\u0026nbsp;\u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e4\u003c/span\u003ek). However, the protein level for KLF4 reached the highest on the day 1 after differentiation and disappeared on day 3 (Fig.\u0026nbsp;\u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e4\u003c/span\u003el). Our results, as the previous report, showed that KLF4 was induced very early following the induction of adipogenesis, and function as an early regulator of adipocyte development has been attributed to its capacity to induce C/EBPβ expression [\u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e37\u003c/span\u003e, \u003cspan citationid=\"CR38\" class=\"CitationRef\"\u003e38\u003c/span\u003e]. Furthermore, we cotransfected miR-206 and pcDNA3.1-KLF4 into ICPs, and KLF4 over-expression is able to counteract the inhibition effect of miR-206 on adipocyte differentiation (Fig.\u0026nbsp;\u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e4\u003c/span\u003em, n). Therefore, KLF4 is the miR-206 target gene, which can function as an activator of adipocyte differentiation.\u003c/p\u003e \u003cp\u003eBased on the above results, we can deduce MYOD1 inhibits adipocyte differentiation by inhibiting the expression of KLF4. Western blot show MYOD1\u003csup\u003eKO\u003c/sup\u003e cells expressed significantly higher protein levels of KLF4, while MYOD1\u003csup\u003eOE\u003c/sup\u003e cells expressed lower protein levels of KLF4 (Fig.\u0026nbsp;\u003cspan refid=\"Fig5\" class=\"InternalRef\"\u003e5\u003c/span\u003ea). Finally, over-expression of KLF4 also significantly promoted adipocyte differentiation in MYOD1\u003csup\u003eOE\u003c/sup\u003e cells (Fig.\u0026nbsp;\u003cspan refid=\"Fig5\" class=\"InternalRef\"\u003e5\u003c/span\u003eb, c). In addition, over-expression of MYOD1 could significantly inhibit the expression of KLF4's target genes C/EBPβ, while inhibiting miR-206 or over-expression of KLF4 in MYOD1\u003csup\u003eOE\u003c/sup\u003e cells will significantly increase C/EBPβ expression.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003c/div\u003e "},{"header":"Discussion","content":" \u003cp\u003eAvian are important farm animals throughout the world, producing eggs and high-quality meat for humans. Muscle mass and fat content are both important traits for meat-producing chickens but attaining an appropriate muscle and fat ratio is an excellent challenge for the broiler industry [\u003cspan citationid=\"CR39\" class=\"CitationRef\"\u003e39\u003c/span\u003e]. Discovering functional genes that can simultaneously regulate muscle and adipocyte development is a key step to improve these traits [\u003cspan citationid=\"CR40\" class=\"CitationRef\"\u003e40\u003c/span\u003e]. Previous and current transcriptomic data have shown that many muscle development genes were differentially expressed during adipocyte differentiation. Among these, our study investigated MYOD1 inhibited avian adipocyte differentiation via the miRNA-206/KLF4 axis (Fig.\u0026nbsp;\u003cspan refid=\"Fig5\" class=\"InternalRef\"\u003e5\u003c/span\u003ed). We have also identified a negative regulation between MYOD1 and lipid biosynthesis genes during adipogenesis. Previous studies reported that MYOD1 expression in brown fat is significantly reduced, and it inhibits brown fat development through PRDM16 [\u003cspan citationid=\"CR41\" class=\"CitationRef\"\u003e41\u003c/span\u003e]. A lineage-tracing study reveals that the MYOD1 lineage does not give rise to brown adipocytes, indicating a role of MYOD1 in myogenic cell fate switch in the common progenitors that give rise to both myoblasts and brown preadipocytes [\u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e]. Moreover, the loss of MYOD1 also facilitates the adipogenic trans-differentiation of C2C12 myoblasts by the miR-133/IGF1R/PI3K/AKT signaling pathway [\u003cspan citationid=\"CR35\" class=\"CitationRef\"\u003e35\u003c/span\u003e]. These findings revealed a novel function of MYOD1 in adipogenesis.\u003c/p\u003e \u003cp\u003eMYOD1 is considered as a master regulator of myogenesis as its expression can induce myogenic differentiation in myoblasts, fibroblasts, and a variety of other cell types [\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e, \u003cspan citationid=\"CR42\" class=\"CitationRef\"\u003e42\u003c/span\u003e, \u003cspan citationid=\"CR43\" class=\"CitationRef\"\u003e43\u003c/span\u003e].In this study, muscle structure development was significantly enriched in the up-regulated DEGs of MYOD1\u003csup\u003eOE\u003c/sup\u003e cells, and also enriched in down-regulated DEGs of MYOD1\u003csup\u003eKO\u003c/sup\u003e on day 0, which all demonstrate the strong transcriptional regulatory activity of MYOD1 on downstream genes. Whether the ectopic expression of MYOD1 in preadipocytes promoted the myogenesis has not been examined in this study. Still, this evidence makes us believe that the over-expression of MYOD1 can promote the trans-differentiation of preadipocytes into muscle cells. In addition, several co-culture experiments have revealed that adipogenesis is strongly inhibited by the presence of satellite cell-derived myofibres [\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e, \u003cspan citationid=\"CR44\" class=\"CitationRef\"\u003e44\u003c/span\u003e]. Supportively, the transcriptomic analysis also suggested that MYOD1 would be a repressor of adipogenesis by inhibiting the expression of lipid biosynthesis genes. Similarly, myogenesis was wholly blocked in both the MYOD1/MYF5 and MYOD1/IGF2 double knockout mice. Both results showed potential functions of MYOD1 on adipogenesis [\u003cspan citationid=\"CR45\" class=\"CitationRef\"\u003e45\u003c/span\u003e, \u003cspan citationid=\"CR46\" class=\"CitationRef\"\u003e46\u003c/span\u003e]. On the other hand, myoblasts trans-differentiate into mature adipocytes by ectopic expression of adipogenic transcription factors under conditions permissive for adipogenesis [\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e]. The mutual exclusion of the two lineage-specific transcription factors balances and determines the developmental separation of fat and muscle tissue.\u003c/p\u003e \u003cp\u003eThe current fast-growing and high-energy diet makes the chicken more likely to show myopathy, such as white striping, characterized by more fat in the breast muscles, resulting in meat with higher fat content and lower protein content [\u003cspan citationid=\"CR47\" class=\"CitationRef\"\u003e47\u003c/span\u003e, \u003cspan citationid=\"CR48\" class=\"CitationRef\"\u003e48\u003c/span\u003e]. Combined with previously reported that MYOD1 can promote muscle development, increasing the expression of MYOD1 may be an effective strategy to treat these diseases.\u003c/p\u003e \u003cp\u003eFinally, we show that miR-206 is an important mediator of MYOD1 induced inhibition of adipogenesis. The miR-206 is one of the most studied miRs thus far, and it has also been confirmed to be involved in the pathogenesis of many diseases, including heart failure, chronic obstructive pulmonary disease, and various types of cancers [\u003cspan citationid=\"CR49\" class=\"CitationRef\"\u003e49\u003c/span\u003e, \u003cspan citationid=\"CR50\" class=\"CitationRef\"\u003e50\u003c/span\u003e]. In chicken, miR-206 is significantly associated with broiler birthweight [\u003cspan citationid=\"CR36\" class=\"CitationRef\"\u003e36\u003c/span\u003e]. Various TFs essential for skeletal muscle development have been shown to regulate miR-206 expression during myogenic differentiation, such as MYF5, MYOD1, MYOG, and MEF2C [\u003cspan additionalcitationids=\"CR52\" citationid=\"CR51\" class=\"CitationRef\"\u003e51\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR53\" class=\"CitationRef\"\u003e53\u003c/span\u003e]. In mammals, miR-206 promotes apoptosis, induce cell cycle arrest, and inhibit cell migration and adipocyte differentiation by targeting c-Met and its downstream PI3K/AKT pathway [\u003cspan citationid=\"CR54\" class=\"CitationRef\"\u003e54\u003c/span\u003e, \u003cspan citationid=\"CR55\" class=\"CitationRef\"\u003e55\u003c/span\u003e]. Through TargetScan and miRDB analysis, however, c-MET was not the target gene of gga-miR-206 (Tab. S8). And the potential binding site of gga-miR-206 is also not in the 3\u0026prime;-UTR of c-Met (Tab. S9), which may be due to a divergence in evolution. KLF4 has been shown to be induced very early following the induction of adipogenesis, and knock-down of KLF4 inhibits adipogenesis [\u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e37\u003c/span\u003e]. The ability of KLF4 to function as an early regulator of adipocyte development has been attributed to its capacity to induce C/EBPβ expression [\u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e37\u003c/span\u003e]. C/EBPβ, an important early factor of adipogenesis, is responsible for inducing C/EBPα and PPARγ, which are the two master transcription factors for terminal adipocyte differentiation [\u003cspan citationid=\"CR56\" class=\"CitationRef\"\u003e56\u003c/span\u003e, \u003cspan citationid=\"CR57\" class=\"CitationRef\"\u003e57\u003c/span\u003e]. Indeed, in this study, we found that C/EBPβ, C/EBPα, and PPARγ were significantly inhibited in MYOD1\u003csup\u003eOE\u003c/sup\u003e cells than in MYOD1\u003csup\u003eNC\u003c/sup\u003e, but they were increased after over-expression of KLF4 or inhibition of miR-206, suggesting a possible involvement of KLF4 and C/EBPβ in the inhibition of MYOD1 on C/EBPα and PPARγ transcription.\u003c/p\u003e "},{"header":"Conclusions","content":" \u003cp\u003eIn summary, this study provides a new insight into that MYOD1 also works as the repressor of adipocyte differentiation via miR-206/KLF4 axis in avian adipocyte model. Considering the significant role of adipocyte differentiation in the formation and function of adipose, clarification of the mechanism of MYOD1-mediated regulation of adipocyte differentiation is essential for exploring strategies for the treatment of metabolic disorders, including white striping. In combination with previous findings of the beneficial role of MYOD1 in muscle differentiation, we proposed that MYOD1 may be a crucial target for improving the ratio of muscle to fat in avian.\u003c/p\u003e "},{"header":"Abbreviations","content":"\u003cp\u003eA-FABP: Fatty Acid Binding Protein 4; C/EBPs: CCAAT Enhancer Binding Proteins; CDS: Coding sequence; c-MET: MET Proto-Oncogene, Receptor Tyrosine Kinase; CRISPR: Clustered Regularly Interspaced Short Palindromic Repeats; DEGs: Differentially expressed unigenes; FBS: Foetal bovine serum; GO: Gene Ontology; KLF4: Kruppel Like Factor 4; MYOD1: Myogenic Differentiation 1; PPAR\u0026gamma;: Peroxisome Proliferator Activated Receptor Gamma; RT-qPCR: Quantitative real-time PCR; RNA-Seq: High-throughput sequencing of RNA; UTR: Untranslated region\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eAcknowledgements\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eWe thank the Poultry Breeding Group of the College of Animal Science and Technology, Northeast Agricultural University, for providing the ICPs line.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFunding\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe work was supported by the National Waterfowl-Industry Technology Research System (CARS-42), National Nature Science Foundation of China (31972525, 31572388), Beijing Municipal Science \u0026amp; Technology Commission (Z181100002418008), Key-Area\u0026nbsp;Research\u0026nbsp;and\u0026nbsp;Development\u0026nbsp;Program\u0026nbsp;of\u0026nbsp;Guangdong\u0026nbsp;Province (2020B020222003).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAvailability of data and materials\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe data analyzed during the current study are available from the corresponding author on reasonable request.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAuthors\u0026rsquo; contributions\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eZCH conceived and designed the experimental plan. ZW, XQL and SRC collected samples and performed the experiments. ZW, QSZ and ZTY participated in bioinformatics analyses. ZW, QSZ, NY and ZCH drafted and revised this manuscript. All authors read and approved the final manuscript.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eEthics statement\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eCollection of adipose samples for use in the described experiments were conducted following methods approved by the Animal Care and Use Committee of China Agricultural University (permit number: SYXK 2007\u0026ndash;0023).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConsent for publication\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eNot applicable.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCompeting interests\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe authors declare that they have no competing interests.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAuthor details\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eDepartment of Animal Genetics and Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China.\u003c/p\u003e\n\u003cp\u003eState Key Laboratory of Agrobiotechnology, College of Biological Sciences, China Agricultural University\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\u003cli\u003e\u003cspan\u003eGhaben AL, Scherer PE. 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Cell Death Differ. 2012;19(12):1917\u0026ndash;27.\u003c/span\u003e\u003c/li\u003e\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":true,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"journal-of-animal-science-and-biotechnology","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"jasb","sideBox":"Learn more about [Journal of Animal Science and Biotechnology](http://jasbsci.biomedcentral.com/)","snPcode":"","submissionUrl":"https://www.editorialmanager.com/jasb/default.aspx","title":"Journal of Animal Science and Biotechnology","twitterHandle":"@animalplantsci","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"BMC/SO AJ","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"Avian, MYOD1, Adipocyte differentiation, CRISPR/CAS9, miR-206/KLF4 axis","lastPublishedDoi":"10.21203/rs.3.rs-107745/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-107745/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003e\u003cstrong\u003eBackground:\u003c/strong\u003e A considerable number of muscle development-related genes were differentially expressed in the early stage of avian adipocyte differentiation. However, the functions of them in adipocyte differentiation remain largely known. In this study, the myoblast determination protein 1 (MYOD1) was selected as a representative of muscle development and we investigated its expression, function and regulation in avian adipocyte differentiation.\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eResults: \u003c/strong\u003eThe expression of MYOD1 decreased significantly in the early stage of avian adipocyte differentiation. CRISPR/CAS9-mediated deletion of MYOD1 induced adipocyte differentiation, whereas over-expression of MYOD1 inhibited adipogenesis. mRNA-seq showed that MYOD1 could perturb the lipid biosynthetic process during differentiation. Mechanistically, MYOD1 directly up-regulates the miR-206 expression by binding upstream 1200 bp region, and over-expression of miR-206 also inhibits adipogenesis. Furthermore, MYOD1 affected the expression of endogenous miR-206 and its target gene Kruppel\u0026nbsp;Like\u0026nbsp;Factor\u0026nbsp;4 (KLF4), which is an important activator of adipogenesis. Accordingly, the inhibition of miR-206 or over-expression of KLF4 could counteract the inhibitory effect of MYOD1 on adipocyte differentiation. \u003c/p\u003e\u003cp\u003e\u003cstrong\u003eConclusions: \u003c/strong\u003eThese findings suggest that MYOD1 inhibited adipocyte differentiation by up-regulating miR-206 to suppress the KLF4 expression. Collectively, these findings identify a novel function of MYOD1 in adipocyte differentiation, suggesting a potential role in body-fat distribution regulation.\u003c/p\u003e","manuscriptTitle":"MYOD1 Inhibits Avian Adipocyte Differentiation via miRNA-206/KLF4 Axis","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2020-11-19 15:36:12","doi":"10.21203/rs.3.rs-107745/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"editorInvitedReview","content":"","date":"2020-12-18T00:00:00+00:00","index":2,"fulltext":"Recommendation: Reviewer's comments unavailable due to the journal's policy.\n"},{"type":"decision","content":"Major revision","date":"2020-12-18T00:00:00+00:00","index":"","fulltext":""},{"type":"reviewerAgreed","content":"","date":"2020-12-07T00:00:00+00:00","index":3,"fulltext":""},{"type":"editorInvitedReview","content":"","date":"2020-11-18T00:00:00+00:00","index":1,"fulltext":"Recommendation: Reviewer's comments unavailable due to the journal's policy.\n"},{"type":"reviewerAgreed","content":"","date":"2020-11-09T01:00:00+00:00","index":2,"fulltext":""},{"type":"editorAssigned","content":"","date":"2020-11-09T00:00:00+00:00","index":"","fulltext":""},{"type":"reviewersInvited","content":"","date":"2020-11-09T00:00:00+00:00","index":"","fulltext":""},{"type":"reviewerAgreed","content":"","date":"2020-11-09T00:00:00+00:00","index":1,"fulltext":""},{"type":"checksComplete","content":"","date":"2020-11-08T23:00:00+00:00","index":"","fulltext":""},{"type":"editorInvited","content":"","date":"2020-11-08T23:00:00+00:00","index":"","fulltext":""},{"type":"submitted","content":"","date":"2020-11-06T00:00:00+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"journal-of-animal-science-and-biotechnology","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"jasb","sideBox":"Learn more about [Journal of Animal Science and Biotechnology](http://jasbsci.biomedcentral.com/)","snPcode":"","submissionUrl":"https://www.editorialmanager.com/jasb/default.aspx","title":"Journal of Animal Science and Biotechnology","twitterHandle":"@animalplantsci","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"BMC/SO AJ","inReviewEnabled":true,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"d63264fa-42ab-4547-9c2d-96dac04d40e8","owner":[],"postedDate":"November 19th, 2020","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"published-in-journal","subjectAreas":[{"id":1132078,"name":"Animal Science"},{"id":1132079,"name":"Biotechnology and Bioengineering"}],"tags":[],"updatedAt":"2021-08-18T19:25:04+00:00","versionOfRecord":{"articleIdentity":"rs-107745","link":"https://doi.org/10.1186/s40104-021-00579-x","journal":{"identity":"journal-of-animal-science-and-biotechnology","isVorOnly":false,"title":"Journal of Animal Science and Biotechnology"},"publishedOn":"2021-05-05 19:07:10","publishedOnDateReadable":"May 5th, 2021"},"versionCreatedAt":"2020-11-19 15:36:12","video":"","vorDoi":"10.1186/s40104-021-00579-x","vorDoiUrl":"https://doi.org/10.1186/s40104-021-00579-x","workflowStages":[]},"version":"v1","identity":"rs-107745","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-107745","identity":"rs-107745","version":["v1"]},"buildId":"ehx78VzkSd0WSzXnipQa-","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}

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