Abstract
The Wnt family features conserved glycoproteins that play roles in tissue regeneration, animal development and cell proliferation and differentiation. For its functional diversity and importance, this family has been studied in several species, but not in the Bovinae. Herein we identified 19 Wnt genes in cattle, and seven other species of Bovinae, and described their corresponding protein properties. Phylogenetic analysis clustered the 149 Wnt proteins in Bovinae, and 38 Wnt proteins from the human and mouse into 12 major clades. Wnt genes from the same subfamilies shared similar protein motif compositions and exon–intron patterns. Chromosomal distribution and collinearity analysis revealed that they were conservative in cattle and five species of Bovinae. RNA-seq data analysis indicated that Wnt genes exhibited tissue-specific expression in cattle. qPCR analysis revealed a unique expression pattern of each gene during bovine adipocytes differentiation. Finally, the comprehensive analysis indicated that Wnt2B may regulate adipose differentiation by activating FZD5, which is worthy of further study. Our study presents the first genome-wide study of the Wnt gene family in Bovinae, and lays the foundation for further functional characterization of this family in bovine adipocytes differentiation.
Similar content being viewed by others
Introduction
Wnt proteins, the initiators of the Wnt signaling pathway, comprise a large family of secreted glycoproteins that are rich in cysteine1. The transduction of Wnt signaling mainly includes three pathways: the canonical Wnt (Wnt/β-catenin), non-canonical Wnt/Ca2+, and non-canonical planar cell polarity (PCP). To regulate intracellular responses, all three patterns require binding to transmembrane receptor Frizzled (Fzd).
In the canonical Wnt pathway, activation of Fzd leads to the stable accumulation of β-catenin in the cytoplasm and translocation to the nucleus. Then, β-catenin binds to the transcription factor T-cell factor/lymphoid enhancing factor (LEF1/TCF) family. This activates the transcription of target genes that regulate embryo development, tissue regeneration and cell proliferation and differentiation2,3.
In the non-canonical Wnt/Ca2+ pathway, the activation of Fzd (mainly Fzd2) results in intracellular Ca2+ release. This activates Ca2+–calmodulin-dependent protein kinase II (CamKII), calnexin (CaN) and protein kinase C (PKC), thus regulating cell adhesion and gene transcription4. In the non-canonical Wnt/PCP pathway, Wnt proteins (e.g., Wnt5a and Wnt11) activate Fzd and signals are transmitted from Disheveled (Dvl) to trimeric G proteins. This is followed by the activation of downstream target genes Rho-associated kinase (Rock) and Jun N-terminal serine/threonine kinase (JNK), thereby regulating cytoskeletal actin and cell polarity5,6.
Canonical Wnt signaling mainly plays an important role in maintaining precursor adipocytes in an undifferentiated state by inhibiting adipogenesis. In 3T3-L1 preadipocytes, Wnt1 ectopic expression stabilizes β-catenin and activates TCF-dependent gene transcription, thus blocking adipogenesis7,8. Adipogenesis is promoted by Glucagon Like Peptide-1 (GLP-1) through the up-regulation of the Wnt4 and β-catenin9. KDM5A interacts with C/EBPβ and cooperatively inhibits the transcription of Wnt6, thus leading to the inhibition of the canonical Wnt/β-catenin pathway and promotion of 3T3-L1 preadipocyte differentiation10. In human bone marrow stromal (mesenchymal) stem cells (hMSCs), treatment with Wnt3A activates the Wnt/β-catenin signaling pathway, thus reducing adipogenesis and increasing osteogenesis11,12. Wnt10B activates the Wnt signaling cascade and prevents preadipocytes differentiation by inhibiting the expression of C/EBPα and PPARγ8,13,14. In porcine adipose-derived mesenchymal stem cells (AMSCs), Wnt3A inhibits the potential of adipogenic differentiation and alters the cell fate from adipocytes to osteoblasts15. In murine embryonic mesenchymal cell line C3H10T1/2, the Wnt3-Fz1 chimera is an inhibitor of differentiation into the adipocyte lineage and a potent activator of differentiation into osteoblasts16. In addition, the Wnt gene family also functions via the non-canonical Wnt signaling pathway. In hMSCs, the inhibition of Wnt3A suppressed the non-canonical Wnt/JNK pathway and enhanced adipocyte differentiation whereas its activation enhanced osteoblast differentiation11. In 3T3-L1 preadipocytes, Wnt4 and Wnt5A positively regulated adipogenesis at the initial stage of the differentiation process by activating PKC and calcium/calmodulin-dependent kinase II17.
So far, the Wnt family has been extensively studied in some species, e.g., Drosophila melanogaster, Tribolium castaneum, Acyrthosiphon pisum, Anopheles gambiae, and Apis mellifera 18,19,20,21,22. Spatiotemporal expression profile revealed that some Wnts might participate in early embryonic development as well as in adult organ/tissue morphogenesis and homeostasis, whereas others may be involved in coping with challenging intertidal environments20. Similarly, research on Wnts and Wnt signaling pathway has mainly focused on regulating embryonic development in cattle23,24. For instance, Wnt11 activate JNK to improve the competence of the embryo to develop to the blastocyst stage25. The expression of Wnt6 was upregulated in bovine trophectoderm25, consistant with the previous study which found that it can promote differentiation of primitive endoderm26. Wnt7A inhibited the PCP pathway to improve blastocyst development, without affecting the amount of CTNNB127. These findings stimulated our interest and guided us to explore the evolution of the Wnt gene family in Bovinae and function in adipocyte differentiation.
In the present study we have performed a genome-wide identification and evolutionary analysis of the Wnt gene family in eight species of Bovinae. And the expression profiles in different tissues and stages during adipocytes differentiation were also analyzed in cattle based on transcriptome data and qPCR. Our study provides a basis for understanding the distribution of Wnt genes and will contributes to further elucidate their potential function in adipocytes differentiation.
Results
The Wnt gene repertoire in Bovinae
To identify the Wnt family members, 45 verified Wnt amino acid sequences were used as the query terms. These verified sequences were derived from cattle (Bos taurus, 7), human (Homo sapiens, 19) and mouse (Mus musculus, 19). We used these query sequences for genome-wide detection of homologous sequences in Bos taurus, Bos indicus, Hybrid-Bos taurus, Hybrid-Bos Indicus, Bos grunniens, Bos mutus, Bubalus bubalis and Bison bison bison. In Bos taurus, 19 non-redundant Wnt protein sequences were identified (Table 1). Wnt family proteins were also recognized in Bos indicus (17), Hybrid-Bos taurus (19), Hybrid-Bos Indicus (19), Bos grunniens (19), Bos mutus (19), Bubalus bubalis (19) and Bison bison bison (18). (Supplementary Info File 1 and 2).
Two unannotated genes from the Wnt family, ENSBMUG00000022627 and ENSBMUG00000022624, were also identified in Bos mutus. Further analysis revealed that they both possessed the WNT conserved domain; however, ENSBMUG00000022627 had an incomplete N-terminus and ENSBMUG00000022624 had an incomplete C-terminus. These two genes showed the highest sequence similarity and a collinear relationship with Wnt7B, and were temporarily named Wnt7B1 and Wnt7B2 (Supplementary Info File 3).
The amino acid sequences of the 19 bovine Wnt proteins ranged from 333 residues (Wnt8B) to 585 residues (Wnt4); their molecular weight (Mw) ranged from 36.61 to 63.17 kDa. With the exception of Wnt3, which had an isoelectric points (pI) of 7.73, the rest Wnt proteins had a pI higher than 8.0, consistent with their high content in basic amino acids. All 19 Wnt proteins possessed the WNT conserved domain (Supplementary Info File 4).
Structural features of bovine Wnt family members
To investigate the structural characteristics of bovine Wnt proteins and genes, we predicted their phylogenetic relationships based on the conserved motifs and gene structures (Fig. 1). The 19 bovine Wnt family members clustered into six main subfamilies (I–VI). All the Wnt family proteins shared six conserved domains termed motifs 1, 2, 4, 5, 6, and 7 formed by 50, 49, 41, 29, 28 and 9 amino acids, respectively (Supplementary Info File 5). Wnt2, Wnt5A and Wnt5B of the first subfamily, and Wnt3 of the third subfamily had all ten motifs. Wnt2B, Wnt3A and Wnt4A had nine motifs; Wnt2B lacked motif 9, and Wnt3A and Wnt4A lacked motif 10. Wnt7A, Wnt7B, Wnt10A, Wnt10B and Wnt11 (lacking motifs 9 and 10) and Wnt1 (lacking motifs 8 and 10) had eight motifs. Wnt8A, Wnt8B, Wnt11 and Wnt16 possessed seven motifs (lacking motifs 8, 9 and 10). Wnt9A and Wnt9B possessed six motifs (lacking motifs 3, 8, 9 and 10).
Introns, coding sequences (CDS) and untranslated regions (UTR) were variable among the Wnt gene family. For instance, the length of Wnt genes ranged from 3,084 nt (Wnt1) to 64,231 nt (Wnt7A), mainly due to intron variation. The number of CDS varied from 3 to 6, and the length and layout of the noncoding regions (3’UTR and 5’UTR) were also variable. Despite this variability, the Wnt members in the same evolutionary subfamily tend to possess similar gene structures patterns and conserved motifs.
Phylogenetic relationship of Wnt proteins in different organisms
Phylogenetic analysis can provide a reference for understanding the functional diversification of the Wnt family in Bovinae. Our phylogenetic analysis included eight species of Bovinae. We also included the Wnt proteins from well-studied model organisms (human and mouse). Of these ten species, 186 amino acid sequences were aligned to generate a non-rooted Neighbor-Joining (NJ) tree (Fig. 2), which showed 12 proposed subfamilies, including Wnt1–11 and Wnt16. There were seven subfamilies containing two Wnt members: I (Wnt7A and Wnt7B), III (Wnt3 and Wnt3A), VI (Wnt2 and Wnt2B), VII (Wnt5A and Wnt5B), IX (Wnt10A and Wnt10B), XI (Wnt9A and Wnt9B), XII (Wnt8A and Wnt8B).
Chromosomal distribution and collinearity analysis of Wnt genes
Wnt genes were mapped on nine chromosomes of cattle (Fig. 3) and the distribution was found to be similar in the other five species. However, the order of Wnt1 (30,832,513–30,835,596 bp) and Wnt10B (30,841,487–30,847,512 bp) in Chr 5, and Wnt3A (3,035,810–3,087,361 bp) and Wnt9A (3,155,441–3,163,239 Mb) in Chr 7 of Bos taurus was reversed from that in Bos grunniens. In addition, compared with Bos taurus, Wnt9B and Wnt16 were lacking in Bos Indicus.
Genome collinearity analysis revealed a satisfactory corresponding relationship between the chromosomes of Bos taurus and Hybrid-Bos Indicus, Hybrid-Bos taurus, Bos indicus, and Bos grunniens (Fig. 4A). Although the chromosome number differed between cattle (2 N = 60) and buffalo (2 N = 50), the level of chromosome homology was high between these two species. Also, collinearity modules explained the difference in the position of the Wnt gene family in cattle relative to the other five species in Bovinae. For instance, the position variation of Wnt2B, Wnt11, Wnt1 and Wnt10B between Bos taurus and Bos grunniens might have been caused by complex intra-chromosomal translocation events (Fig. 4B). Wnt3 and Wnt9B are distributed on different chromosomes between cattle and buffalo (bovine Chr 19 and buffalo Chr 3). This may be caused by inter-chromosomal rupture or fusion during the evolution (Supplementary Info File 6).
Expression analysis of Wnt genes in different tissues
Functionally related genes tend to show a co-expression patterns and often regulate biological processes collaboratively. To explore the expression patterns of the Wnt gene family, we investigated their expression levels in 163 samples of 60 tissue types. The Wnt genes along with other 13 closely related genes can be classified into four groups (I to IV) (Fig. 5A) according to their differential expression patterns in tissues. Accordingly, the 60 bovine tissue types also clustered into four main clades (a–d) based on the expression patterns of all the 31 genes including Wnt family. The members of the Wnt family and their receptors, the FZD gene family, displayed overlapping expression patterns, suggesting a coordinated regulatory role. PPARγ, a marker gene for adipocyte differentiation, showed high expression in Group a (omental, intramuscular, subcutaneous and mammary gland fats). The cluster formed by CTNNB1, FZD1, FZD5, FZD6 and Wnt2B showed a similar pattern of PPARγ in expression.
Further analysis of the five different fat tissues revealed that CTNNB1, a core gene of Wnt signaling pathway, showed high expression and similar expression pattern as PPARγ (Fig. 5B). High expression was observed for Wnt7B, Wnt9B and FZD3 (adult mammary gland fat) and Wnt2B and FZD2 (embryonic subcutaneous fat). Expressions of C/EBPα, FZD1 and FZD8 were higher in some tissues (omental fat, intramuscular fat (IMF) and subcutaneous fat of adult cattle) than in others (mammary gland fat of adult cattle and subcutaneous fat of embryo). Knowledge of these patterns will provide useful information in bovine fat research. Meanwhile, the clustering analysis of tissue expression pattern revealed that intramuscular fat and subcutaneous fat of adult cattle got together firstly, indicating that they were the most similar among the five types of fat. This also suggests that primary adipocytes isolated from subcutaneous fat can be used for preliminary expression pattern validation of the Wnt gene family.
Isolation and induced differentiation of bovine primary adipocytes
Meat tenderness and juiciness are affected by IMF content, whereas it is too limited to be sampled. Subcutaneous fat is significantly associated with IMF28, which is consistent with our clustering results (Fig. 5B). To explore the expression patterns of the Wnt gene family during adipocyte differentiation, primary adipocytes collected from subcutaneous adipose tissue of cattle were induced. Ten days after induction, Oil red O staining showed a greater extent of lipid droplet accumulation in adipocytes than in preadipocytes (Fig. 6A). The absorbance at 510 nm was significantly higher in differentiated adipocytes than in preadipocytes (Fig. 6B). Furthermore, the adipogenic marker genes (PPARγ, C/EBPα and FABP4) were all up-regulated (Fig. 6C). These results indicate that the induced differentiation of primary adipocytes was successful and could be used in the subsequent gene expression analysis.
Expression analysis of Wnt genes during adipocyte differentiation
qPCR analysis was conducted to detect the expression of Wnt genes and their Fzd receptors at different time points (0, 2, 6, and 10 days) during adipocytes differentiation (Fig. 7). Wnt8B, Wnt11, Wnt16 and their receptors (Fzd1, Fzd2, Fzd3, Fzd4, Fzd6) showed high levels of expression in preadipocytes. These levels were reduced after induction, suggesting a collective involvement in keeping adipocytes undifferentiated. Wnt2, Wnt6, Wnt9B, Wnt10A and their receptors (Fzd9, Fzd10) were significantly up-regulated, indicating a regulatory role during adipocyte differentiation. Furthermore, Wnt2B, Wnt4, Wnt8A and Fzd5, Fzd8 reached the lowest expression at the second day and displayed a similar overall trend of expression.
Discussion
Structural features of bovine Wnt family proteins and genes
The core motifs and domains of a protein determine its function and activity 29. Gene families usually encode proteins that share similar motifs and act synergistically30. All the 19 bovine Wnt members have six conserved amino acid sequences (Motifs 1, 2, 4, 5, 6 and 7), pointing to a common functional site. Four members (Wnt2, Wnt3, Wnt5A, and Wnt5A) have ten motifs, whereas the other 15 members lack 1 to 4 of these motifs. Thus, it is likely that these four motifs (Motifs 3, 8, 9 or 10) are not located at the core of the Wnt protein domain.
Since the introns and UTRs vary in length and layout, the distribution of CDSs in the Wnt genes was also variable. Their sequences and conserved motifs were similar, and all possessed the WNT conserved domain. This might play a role in maintaining their three-dimensional structure and binding function.
The phylogenetic relationships of Wnt family proteins
Phylogenetic analysis provides a credible way to explore the relationship between amino acid sequence similarity and function of proteins in the same family31. In multicellular eukaryotes, the Wnt family proteins is divided into 13 subfamilies. For instance, a total of 11 (Zhikong scallop), 12 (Yesso scallop, Pacific oyster) and 13 (Lingula anatine, Plathynereis dumerlii, Lottia gigantean, Crassostrea gigas, etc.) subfamilies have been identified previously20. In the Bovinae, Wnt proteins were classified into 12 subfamilies but lacked WntA. This was consistent with previous studies reporting that vertebrates all have reserved subfamilies except for WntA32,33.
Although the function of the Wnt family is highly conserved, several members have been lost in many species after the complete set of Wnt genes emerged in cnidarians34,35. Among the eight species of Bovinae, Wnt7B was missing in Bison, while Wnt9B and Wnt16 were missing in Bos indicus. The Wnt9 subfamily specific to Bilateria was also found to be absent from Chlamys farreri 20. It remains unclear whether these genes were not identified due to limitations in genome assembly or whether they were lost during evolution.
In the phylogenetic relationship, two genes from distinct species that are located in the same clade are defined as orthologs36. The orthologous gene pairs among cattle and the other five bovine species were identified based on homologous relationships. Orthologous Wnt members first clustered in a single clade, indicating that they were conserved among different species.
Collinearity analysis of Wnts in Bovidae
Genome-wide collinearity analysis of Wnt genes provided key information on the function and evolution in the Bovidae. Gene duplication events can cause gene family expansion during genome evolution37. Indeed, both tandem and segmental duplications are responsible for the expansion of the Wnt family in Bovinae (Figs. 3, 4). The members of the Wnt gene family were distributed across nine chromosomes in the six selected species. WNT9B and WNT3 were tandem repeats on chromosome 19 of Bos Taurus, while WNT9B was missing on chromosome 19 of Bos Indicus (Fig. 3). This deletion may be due to the absence of a tandem duplication event or the loss of WNT9B after the tandem repeats occurred in Bos indicus during evolution. However, the causes, processes, and outcomes of this evolutionary event are still unclear and need more research; such work may further help to clarify the function of WNT9B.
Due to the different starting points of chromosome annotation among species, the arrangement of genes might be totally reversed. For instance, in Bos taurus and Hybrid-Bos taurus, the order of Wnt6, Wnt10A and Wnt4 in Chr2, Wnt2 and Wnt16 in Chr4, and Wnt3A, Wnt9A and Wnt8A in Chr 7 was opposite.
Intra-chromosomal translocation and rearrangement during species evolution also lead to the changes in gene arrangement38,39. For example, the position of Wnt2B was altered in Bos taurus and Bos grunniens due to the inversion of large segments within the chromosome (Fig. 4B). Furthermore, the locations of Wnt genes change from collinear (conserved in the same order) to syntenic (not necessarily in the same order) 40. In addition, buffalo Chr 1–5 are collinear with bovine Chr 27 and Chr 1, Chr 23 and Chr 2, Chr 19 and Chr 8, Chr 5 and Chr 28, and Chr 16 and Chr 29, respectively (Supplementary Info File 6). This may be caused by inter-chromosomal rupture or fusion during evolution.
Wnt genes affecting adipocyte differentiation
The Wnt proteins can activate their Fzd receptors and regulate adipocyte differentiation through the canonical and/or non-canonical Wnt signaling pathway. It is commonly known that functionally related genes usually exhibit similar expression patterns. Furthermore, gene expression clustering analysis can group genes of similar function41. Wnt is selective in recognizing its Fzd receptors42. For instance, Wnt3 formed a chimera with FZD1 to regulate the canonical Wnt signaling pathway16.
The observed overlaps in the expression of 19 Wnt and 10 Fzd members in 60 tissue types suggest a coordinated and selective regulatory role (Fig. 5). Group IV (PPARG, CTNNB1, FZD1, FZD5, FZD6 and WNT2B) was highly expressed in four fat tissues (omental, intramuscular, subcutaneous and mammary gland). Meanwhile, previous studies, carried out in humans, showed that Wnt2B and FZD5 exhibited physical interactions and co-expression relationships (Table 2) and displayed similar expression patterns during the differentiation of bovine adipocytes (Fig. 7). Since PPARG is a marker gene for adipocyte differentiation and CTNNB1 is a core gene in the canonical Wnt signaling pathway, WNT2B might bind to its receptor FZD5 to regulate adipogenic differentiation through the canonical Wnt signaling pathway.
Adipogenic differentiation is a well-organized and complicated process regulated by various genes. Analysis of the interactions between the Wnt and the Fzd family is essential to explore their roles. An integrated network for the Wnt and Fzd gene family and their interacting genes were constructed by STRING (https://string-db.org/)46 and visualized by Cytoscape (Supplementary Info File 7)44. To ensure the accuracy of this interaction network, only sources from literature mining and experimental verification were selected. Analysis showed there were extensive and complex direct or indirect relationships between the Wnt and Fzd gene family. Since such studies have not been carried out in cattle, we used GeneMANIA (https://genemania.org/) to mine their relationship in human. We observed clear bias in the Wnt family members in terms of their ability to recognize their Fzd receptors (Table 2) 16,42. Collectively, these results revealed that the Wnt and Fzd genes interact and activate the canonical and/or non-canonical Wnt signaling pathway, thus regulating adipocyte differentiation. The results provide a foundation for further study Wnt genes and the regulation of adipocyte differentiation in cattle.
Methods
Ethics statement
Animal experiments were conducted in accordance with the Regulations for the Administration of Affairs Concerning Experimental Animals (Ministry of Science and Technology, China, 2004). It is authorized by the Animal Ethics Committee of Ningxia University (permit number NXUC20200521). The cattle used in the experiments was electric shocked before being released. Primary adipocytes were isolated immediately, making all efforts to minimize its suffering. This work also conformed to the requirements of American Veterinary Medical Association (AVMA) Guidelines. This study is reported in accordance with the recommendations put forward by the ARRIVE guidelines45.
Genome-wide identification of Wnt genes
The genome and annotation of Bos taurus (ARS-UCD1.2.101 assembly), Hybrid-Bos taurus (Bos indicus × Bos taurus, UOA_Angus_1.101 assembly), Hybrid-Bos Indicus (Bos indicus × Bos taurus, UOA_Brahman_1.101 assembly), Bos grunniens (LU_Bosgru_v3.0.101 assembly), Bos mutus (BosGru_v2.0.101 assembly), Bison bison bison (Bison_UMD1.0.101 assembly), Homo sapiens (GRCh38.101 assembly) and Mus musculus (GRCm38.101 assembly) were downloaded from Ensembl database (http://asia.ensembl.org/index.html). The genome and annotation of Bos indicus (GCF_000247795.1 assembly) and Bubalus bubalis (ASM312139v1 assembly) were downloaded from NCBI database (https://www.ncbi.nlm.nih.gov/). To identify all the possible Wnt genes in the Bovinae, we used the Basic Local Alignment Search Tool (BLAST) and Hidden Markov Model (HMM) searches46. A total of 45 reviewed Wnt sequences of bovine (7), human (19) and mouse (19) were obtained from the UniProt database (https://www.uniprot.org/) and used to query potential Wnt genes via BLASTP with a threshold e-value of 10–5. The HMM of Wnt (PF00110) was downloaded from Pfam (https://pfam.xfam.org/)50 and HMMER 3.3.1 (http://hmmer.org/)51 was used to construct HMM profiles for the Bovidae to detect Wnt genes with the default settings. Candidate sequences were manually checked to confirm Wnt homology.
Analysis of Wnt protein characteristics
The properties of the proteins encoded by the identified Wnt genes were obtained from ExPASy (https://web.expasy.org/protparam/)49. Conserved motifs were detected in MEME 5.050 with minimum and maximum lengths of 6 and 50 amino acids, respectively. Exon–intron structures and motif patterns of the Wnt family were visualized using TBtools (v1.0971) software51which can be downloaded from the GitHub website (https://github.com/CJ-Chen/TBtools/releases). NCBI-CDD52 was used to identify the conservative domains in the 19 Wnt proteins, which were visualized by the TBtools software51. Multiple sequence alignments for Wnt proteins and a phylogenetic Neighbor-Joining tree were constructed using the MEGA 7.0 software53, which can be downloaded from the website at https://mega.software.informer.com/7.0/.
Phylogenetic tree construction, chromosomal distribution, and collinearity analysis
Protein sequences were aligned using ClustalW to investigate the phylogenetic relationship of Wnt genes. A Neighbor-Joining tree was constructed in MEGA 7.053 using the bootstrap method (1000 replicates), the Poisson model, and complete deletion. FigTree software (version 1.4.3) was used to adjust and enhance the evolutionary tree and it can be downlord from the GitHub website (https://github.com/rambaut/figtree/releases). The chromosomal locations of Wnt genes in cattle and the five other species of Bovinae were obtained from general feature format (GFF3) files. Gene Location Visualize from GFF51 was used to map the distribution of Wnt genes. Collinearity analysis for orthologous genes between Bos taurus and the five other bovine species was performed using the MCScanX toolkit54. Subsequently, genome collinearity results and orthologous Wnt genes were visualized by Dual Systeny Plot for MCscanX51.
The tissue expression profiles analysis of Wnt genes
RNA-Seq data of 163 tissue samples were collected from the Ruminant Genome Database (http://animal.nwsuaf.edu.cn/code/index.php/Ruminantia)55 and all the raw data was deposited in the National Center for Biotechnology Information (NCBI) Sequence Read Archive (Supplementary Info File 8). The sequencing quality was checked using FastQC56. Quality control of the raw sequence data was performed using the trimmomatic-0.36 57. Clean reads were then mapped to the Bos taurus genome reference using STAR58 and Hisat259. FPKMs (Fragments Per Kilobase per Million mapped reads) of the genes in each sample were computed by Ballgown (Version 2.2.0)60,61. The heatmap was constructed using the TBtools software51.
Isolation, culture, and induction differentiation of bovine primary adipocytes
Primary adipocytes were isolated and cultured from subcutaneous adipose tissue of the cattle in the Zerui Ecological Breeding Farm using the Type I collagenase digestion method. Induction of primary adipocytes differentiation62 and Oil red O staining63 were performed as previous described. The absorbance of the substance extracted from adipocytes at 0 day and 10 day after induction was also measured at 510 nm with isopropanol as a control.
RNA extraction and quantitative RT-PCR (qPCR)
Primers for the Wnt genes were designed using Primer Premier 5.0 software (Supplementary Info File 9). Total RNA was extracted by the phenol–chloroform method using TRIzol (9109, Takara) and samples with an OD260/OD280 absorbance ratio between 1.8 and 2.0 were used in the subsequent experiments. Then, a total of 1000 ng RNA was reverse transcribed using random primers with Moloney murine leukemia virus reverse transcriptase (Takara Bio, Kyoto, Japan). Realtime PCR was carried out in a CFX96 Touch Real-Time PCR Detection System (Bio-Rad, Hercules, CA, USA) with SYBR Green Master Mix (Takara Bio, Kyoto, Japan). The qPCR reaction procedure involved 40 cycles of pre-denaturation for 3 min (95 °C), denaturation for 10 s (95 °C), annealing for 20 s (60 °C), and extension for 30 s (72 °C). Relative expression was calculated using the 2−∆∆Ct method64,65 with β-actin as the reference. Three replicates were performed for each test. One-way analysis of variance (ANOVA) was applied to test the statistical significance among groups at 0.05 and 0.01 significance levels using GraphPad Prism 7.0 software.
Ethics approval and consent to participate
The Animal Ethics Committees of Ningxia University approved the experimental design and animal sample collection (permit number NXUC20200521). We also obtained informed consent from the owners and the Ethics Committees of Zerui Ecological Breeding Farm. All the animal experiments were conducted according to the guidelines of the Regulations for the Administration of Affairs Concerning Experimental Animals (Ministry of Science and Technology, China, 2004). This study is reported according to the recommendations put forward in the ARRIVE guidelines.
Data availability
All of the data generated or analyzed during this study are included in this published article and its supplementary information files.
References
Lorzadeh, S., Kohan, L., Ghavami, S. & Azarpira, N. Autophagy and the Wnt signaling pathway: A focus on Wnt/beta-catenin signaling. Biochim. Biophys. Acta Mol. Cell Res. 1868, 118926 (2021).
Yao, L. et al. The effect of regulating the Wnt signaling pathway on the proliferation and differentiation of spermatogonial stem cells. Ann. Transl. Med. 8, 1003 (2020).
Taciak, B., Pruszynska, I., Kiraga, L., Bialasek, M. & Krol, M., Wnt signaling pathway in development and cancer. J. Physiol. Pharmacol. 69 (2018).
De, A. Wnt/Ca2+ signaling pathway: a brief overview. Acta Biochim. Biophys. Sin. (Shanghai) 43, 745 (2011).
Yamanaka, H. et al. JNK functions in the non-canonical Wnt pathway to regulate convergent extension movements in vertebrates. Embo. Rep. 3, 69 (2002).
Andre, P., Song, H., Kim, W., Kispert, A. & Yang, Y. Wnt5a and Wnt11 regulate mammalian anterior-posterior axis elongation. Development 142, 1516 (2015).
Bennett, C. N. et al. Regulation of Wnt signaling during adipogenesis. J. Biol. Chem. 277, 30998 (2002).
Ross, S. E. et al. Inhibition of adipogenesis by Wnt signaling. Science 289, 950 (2000).
Liu, R. et al. Glucagon like peptide-1 promotes adipocyte differentiation via the Wnt4 mediated sequestering of beta-catenin. PLoS ONE 11, e160212 (2016).
Guo, L., Guo, Y. Y., Li, B. Y., Peng, W. Q. & Tang, Q. Q. Histone demethylase KDM5A is transactivated by the transcription factor C/EBPbeta and promotes preadipocyte differentiation by inhibiting Wnt/beta-catenin signaling. J. Biol. Chem. 294, 9642 (2019).
Qiu, W., Chen, L. & Kassem, M. Activation of non-canonical Wnt/JNK pathway by Wnt3a is associated with differentiation fate determination of human bone marrow stromal (mesenchymal) stem cells. Biochem. Biophys. Res. Commun. 413, 98 (2011).
Qiu, W. et al. Patients with high bone mass phenotype exhibit enhanced osteoblast differentiation and inhibition of adipogenesis of human mesenchymal stem cells. J. Bone Miner. Res. 22, 1720 (2007).
Isakson, P., Hammarstedt, A., Gustafson, B. & Smith, U. Impaired preadipocyte differentiation in human abdominal obesity: Role of Wnt, tumor necrosis factor-alpha, and inflammation. Diabetes 58, 1550 (2009).
Hammarstedt, A., Isakson, P., Gustafson, B. & Smith, U. Wnt-signaling is maintained and adipogenesis inhibited by TNFalpha but not MCP-1 and resistin. Biochem. Biophys. Res. Commun. 357, 700 (2007).
Li, H. X., Luo, X., Liu, R. X., Yang, Y. J. & Yang, G. S. Roles of Wnt/beta-catenin signaling in adipogenic differentiation potential of adipose-derived mesenchymal stem cells. Mol. Cell Endocrinol. 291, 116 (2008).
Bhat, R. A., Stauffer, B., Della, P. A. & Bodine, P. V. Wnt3-frizzled 1 chimera as a model to study canonical Wnt signaling. J. Cell Biochem. 109, 876 (2010).
Nishizuka, M., Koyanagi, A., Osada, S. & Imagawa, M. Wnt4 and Wnt5a promote adipocyte differentiation. Febs. Lett. 582, 3201 (2008).
Bolognesi, R. et al. Tribolium Wnts: Evidence for a larger repertoire in insects with overlapping expression patterns that suggest multiple redundant functions in embryogenesis. Dev. Genes Evol. 218, 193 (2008).
Murat, S., Hopfen, C. & McGregor, A. P. The function and evolution of Wnt genes in arthropods. Arthropod. Struct. Dev. 39, 446 (2010).
Liu, S. et al. Genome-wide identification and expression profiling of the Wnt gene family in three bivalve molluscs. Comp. Biochem. Physiol. D Genomics Proteomics 29, 299 (2019).
Bai, Y., Nie, H., Wang, Z. & Yan, X., Genome-wide identification and transcriptome-based expression profiling of Wnt gene family in Ruditapes philippinarum. Comp. Biochem. Physiol. D Genomics Proteomics 35:100709 (2020).
Ding, X. et al., Genome-wide identification and expression profiling of Wnt family genes in the silkworm, bombyx mori. Int. J. Mol. Sci. 20 (2019).
Wang, X. et al. 3, 3’, 5-Triiodo-L-thyronine affects polarity proteins of bovine Sertoli cells via WT1/non-canonical Wnt signaling pathway. Theriogenology 148, 8 (2020).
Sidrat, T. et al., Role of Wnt signaling during in-vitro bovine blastocyst development and maturation in synergism with PPARdelta signaling. Cells-Basel 9 (2020).
Tribulo, P. et al. WNT regulation of embryonic development likely involves pathways independent of nuclear CTNNB1. Reproduction 153(4), 405–419 (2017).
Krawetz, R. & Kelly, G. M. Wnt6 induces the specification and epithelialization of F9 embryonal carcinoma cells to primitive endoderm. Cell Signal 20, 506 (2008).
Tribulo, P., Leao, B., Lehloenya, K. C., Mingoti, G. Z. & Hansen, P. J. Consequences of endogenous and exogenous WNT signaling for development of the preimplantation bovine embryo. Biol. Reprod. 96, 1129 (2017).
Newcom, D. W., Baas, T. J., Schwab, C. R. & Stalder, K. J. Genetic and phenotypic relationships between individual subcutaneous backfat layers and percentage of longissimus intramuscular fat in Duroc swine. J. Anim. Sci. 83, 316 (2005).
Vallbracht, M., Fuchs, W., Klupp, B. G. & Mettenleiter, T. C., Functional relevance of the transmembrane domain and cytoplasmic tail of the pseudorabies virus glycoprotein H for membrane fusion. J. Virol. 92 (2018).
Esposito, D., Koliopoulos, M. G. & Rittinger, K. Structural determinants of TRIM protein function. Biochem Soc. Trans. 45, 183 (2017).
Song, L., Wu, S. & Tsang, A. Phylogenetic analysis of protein family. Methods Mol. Biol. 1775, 267 (2018).
Garriock, R. J., Warkman, A. S., Meadows, S. M., D’Agostino, S. & Krieg, P. A. Census of vertebrate Wnt genes: Isolation and developmental expression of Xenopus Wnt2, Wnt3, Wnt9a, Wnt9b, Wnt10a, and Wnt16. Dev. Dyn. 236, 1249 (2007).
Prud’Homme, B., Lartillot, N., Balavoine, G., Adoutte, A. & Vervoort, M. Phylogenetic analysis of the Wnt gene family. Insights from lophotrochozoan members. Curr. Biol. 12, 1395 (2002).
Kusserow, A. et al. Unexpected complexity of the Wnt gene family in a sea anemone. Nature 433, 156 (2005).
Lengfeld, T. et al. Multiple Wnts are involved in Hydra organizer formation and regeneration. Dev. Biol. 330, 186 (2009).
Koonin, E. V. Orthologs, paralogs, and evolutionary genomics. Annu. Rev. Genet. 39, 309 (2005).
Lawton-Rauh, A. Evolutionary dynamics of duplicated genes in plants. Mol. Phylogenet. Evol. 29, 396 (2003).
Pellestor, F. Chromoanagenesis: Cataclysms behind complex chromosomal rearrangements. Mol. Cytogenet. 12, 6 (2019).
Weckselblatt, B. & Rudd, M. K. Human structural variation: Mechanisms of chromosome rearrangements. Trends Genet. 31, 587 (2015).
Liu, J., Wang, Z., Li, J., Li, H. & Yang, L. Genome-wide identification of diacylglycerol acyltransferases (DGAT) family genes influencing Milk production in Buffalo. BMC Genet. 21, 26 (2020).
Eisen, M. B., Spellman, P. T., Brown, P. O. & Botstein, D. Cluster analysis and display of genome-wide expression patterns. Proc. Natl. Acad. Sci. USA 95, 14863 (1998).
Wada, N. et al. Selective modulation of Wnt ligands and their receptors in adipose tissue by chronic hyperadiponectinemia. PLoS ONE 8, e67712 (2013).
Szklarczyk, D. et al. STRING v11: Protein-protein association networks with increased coverage, supporting functional discovery in genome-wide experimental datasets. Nucleic Acids Res. 47, D607 (2019).
Shannon, P. et al. Cytoscape: A software environment for integrated models of biomolecular interaction networks. Genome Res. 13, 2498 (2003).
Percie, D. S. N. et al. The ARRIVE guidelines 2.0: Updated guidelines for reporting animal research. Plos Biol. 18, e3000410 (2020).
Li, Y., He, L., Li, J., Chen, J. & Liu, C. Genome-wide identification, characterization, and expression profiling of the legume BZR transcription factor gene family. Front. Plant. Sci. 9, 1332 (2018).
El-Gebali, S. et al. The Pfam protein families database in 2019. Nucleic Acids Res. 47, D427 (2019).
Potter, S. C. et al. HMMER web server: 2018 update. Nucleic Acids Res. 46, W200 (2018).
Artimo, P. et al. ExPASy: SIB bioinformatics resource portal. Nucleic Acids Res. 40, W597 (2012).
Bailey, T. L., Johnson, J., Grant, C. E. & Noble, W. S. The MEME suite. Nucleic Acids Res. 43, W39 (2015).
Chen, C. et al. TBtools: An integrative toolkit developed for interactive analyses of big biological data. Mol. Plant 13, 1194 (2020).
Lu, S. et al. CDD/SPARCLE: The conserved domain database in 2020. Nucleic Acids Res. 48, D265 (2020).
Kumar, S., Stecher, G. & Tamura, K. MEGA7: Molecular evolutionary genetics analysis version 7.0 for bigger datasets. Mol. Biol. Evol. 33, 1870 (2016).
Wang, Y. et al. MCScanX: A toolkit for detection and evolutionary analysis of gene synteny and collinearity. Nucleic Acids Res. 40, e49 (2012).
Chen, L. et al., Large-scale ruminant genome sequencing provides insights into their evolution and distinct traits. Science 364 (2019).
Wingett, S. W. & Andrews, S. FastQ Screen: A tool for multi-genome mapping and quality control. F1000Res 7, 1338 (2018).
Bolger, A. M., Lohse, M. & Usadel, B. Trimmomatic: A flexible trimmer for Illumina sequence data. Bioinformatics 30, 2114 (2014).
Dobin, A. & Gingeras, T. R. Mapping RNA-seq reads with STAR. Curr. Protoc. Bioinform. 51, 11 (2015).
Kim, D., Paggi, J. M., Park, C., Bennett, C. & Salzberg, S. L. Graph-based genome alignment and genotyping with HISAT2 and HISAT-genotype. Nat. Biotechnol. 37, 907 (2019).
Pertea, M., Kim, D., Pertea, G. M., Leek, J. T. & Salzberg, S. L. Transcript-level expression analysis of RNA-seq experiments with HISAT, StringTie and Ballgown. Nat. Protoc. 11, 1650 (2016).
Frazee, A. C. et al. Ballgown bridges the gap between transcriptome assembly and expression analysis. Nat. Biotechnol. 33, 243 (2015).
Huang, J. et al., High-throughput RNA sequencing reveals NDUFC2-AS lncRNA promotes adipogenic differentiation in Chinese buffalo (Bubalus bubalis L). Genes (Basel) 10 (2019).
Wang, Y., Goulart, R. A. & Pantanowitz, L. Oil red O staining in cytopathology. Diagn. Cytopathol. 39, 272 (2011).
Adnan, M., Morton, G. & Hadi, S. Analysis of rpoS and bolA gene expression under various stress-induced environments in planktonic and biofilm phase using 2(-DeltaDeltaCT) method. Mol. Cell Biochem. 357, 275 (2011).
Arocho, A., Chen, B., Ladanyi, M. & Pan, Q. Validation of the 2-DeltaDeltaCt calculation as an alternate method of data analysis for quantitative PCR of BCR-ABL P210 transcripts. Diagn. Mol. Pathol. 15, 56 (2006).
Acknowledgements
We would also like to express our gratitude to EditSprings (https://www.editsprings.cn/) for the expert linguistic services provided.
Funding
This study was funded by the National Natural Science Foundation of China (32072720 and 31672403), the Leading Talents Fund in Science and Technology Innovation in Henan Province (No. 194200510022), the Key Research and Talent Introduction Project of Ningxia Hui Autonomous Region (2019YCZX0068) and the Science and Technology Innovation Team Projects of Ningxia Hui Autonomous Region (03010360052). The funding bodies played no role in the design of the study, collection, analysis and interpretation of data and writing the manuscript.
Author information
Authors and Affiliations
Contributions
C.L.P. and S.Z.W. contributed equally to this research. Y.M. and C.L.P. conceived and designed the research. C.L.P., S.Z.W. and C.L.H. analyzed the data and conducted the experiment. C.L.P. wrote the manuscript. Y.M., C.Y.Y., H.S., X.S.X., H.H.H., Z.X.L. and M.L.Y. revised the manuscript. All authors read and approved the final manuscript.
Corresponding author
Ethics declarations
Competing interests
The authors declare no competing interests.
Additional information
Publisher's note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
About this article
Cite this article
Pan, C., Wang, S., Yang, C. et al. Genome-wide identification and expression profiling analysis of Wnt family genes affecting adipocyte differentiation in cattle. Sci Rep 12, 489 (2022). https://doi.org/10.1038/s41598-021-04468-1
Received:
Accepted:
Published:
DOI: https://doi.org/10.1038/s41598-021-04468-1
- Springer Nature Limited
This article is cited by
-
A transcriptomic analysis of skeletal muscle tissues reveals promising candidate genes and pathways accountable for different daily weight gain in Hanwoo cattle
Scientific Reports (2024)
-
DNA-(cytosine-C5) methyltransferases and demethylases in Theobroma cacao: insights into genomic features, phylogenetic relationships, and protein–protein interactions
Tree Genetics & Genomes (2024)
-
Genome-wide scan for runs of homozygosity in South American Camelids
BMC Genomics (2023)
-
Identification of HQT gene family and their potential function in CGA synthesis and abiotic stresses tolerance in vegetable sweet potato
Physiology and Molecular Biology of Plants (2023)