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Journal of Animal Science and Biotechnology logoLink to Journal of Animal Science and Biotechnology
. 2023 Jul 8;14:88. doi: 10.1186/s40104-023-00893-6

Genome-wide DNA methylation and transcriptome analyses reveal the key gene for wool type variation in sheep

Jiankui Wang 1,2, Guoying Hua 1, Ganxian Cai 1, Yuhao Ma 1, Xue Yang 1, Letian Zhang 1, Rui Li 3, Jianbin Liu 4, Qing Ma 5, Keliang Wu 1, Yaofeng Zhao 1,2, Xuemei Deng 1,2,
PMCID: PMC10329393  PMID: 37420295

Abstract

Background

Wool fibers are valuable materials for textile industry. Typical wool fibers are divided into medullated and non-medullated types, with the former generated from primary wool follicles and the latter by either primary or secondary wool follicles. The medullated wool is a common wool type in the ancestors of fine wool sheep before breeding. The fine wool sheep have a non-medullated coat. However, the critical period determining the type of wool follicles is the embryonic stage, which limits the phenotypic observation and variant contrast, making both selection and studies of wool type variation fairly difficult.

Results

During the breeding of a modern fine (MF) wool sheep population with multiple-ovulation and embryo transfer technique, we serendipitously discovered lambs with ancestral-like coarse (ALC) wool. Whole-genome resequencing confirmed ALC wool lambs as a variant type from the MF wool population. We mapped the significantly associated methylation locus on chromosome 4 by using whole genome bisulfite sequencing signals, and in turn identified the SOSTDC1 gene as exons hypermethylated in ALC wool lambs compare to their half/full sibling MF wool lambs. Transcriptome sequencing found that SOSTDC1 was expressed dozens of times more in ALC wool lamb skin than that of MF and was at the top of all differentially expressed genes. An analogy with the transcriptome of coarse/fine wool breeds revealed that differentially expressed genes and enriched pathways at postnatal lamb stage in ALC/MF were highly similar to those at the embryonic stage in the former. Further experiments validated that the SOSTDC1 gene was specifically highly expressed in the nucleus of the dermal papilla of primary wool follicles.

Conclusion

In this study, we conducted genome-wide differential methylation site association analysis on differential wool type trait, and located the only CpG locus that strongly associated with primary wool follicle development. Combined with transcriptome analysis, SOSTDC1 was identified as the only gene at this locus that was specifically overexpressed in the primary wool follicle stem cells of ALC wool lamb skin. The discovery of this key gene and its epigenetic regulation contributes to understanding the domestication and breeding of fine wool sheep.

Supplementary Information

The online version contains supplementary material available at 10.1186/s40104-023-00893-6.

Keywords: Primary wool follicle; RNA-seq, SOSTDC1; Whole genome bisulfite sequencing

Introduction

Sheep are important livestock animals that supply people with meat, milk, fur, and wool fibers. Wool is a valuable natural textile fiber, and fine wool is used in textile clothing. Fine wool sheep was first developed in Iberia and have been bred for over hundreds of years [1]. Merino is the main fine wool sheep breed since the eighteenth century and has spread widely in the world. In general, modern Merino breeds were cultivated by crossing local sheep breeds with imported Merino, such as the France Merino and Germany Merino [2]. Chinese Merino sheep breeds were mainly produced by crossing Tibetan or Mongolian sheep with Soviet Merino, Rambouillet sheep and Australian Merino [3]. The main distinction of fine and coarse wool sheep breeds is that the coarse wool sheep have a large amount of medullated wool, while the key to fine wool sheep breeding is to select with less medullated wool until only non-medullated wool retained [4, 5]. The medullated wool is developed from primary wool follicle, while the non-medullated wool is developed from primary and secondary wool follicle [6]. Thus, the wool type variation should be due to the diversity of wool follicle types, however, the main determining period of wool follicle morphogenesis is at the embryonic stage, where, primary wool follicles concentrate at embryonic d 50–90 and secondary wool follicles at embryonic d 80–100 [7]. Moreover, the epigenome comprising different mechanisms, e.g., DNA methylation, remodeling, histone tail modifications, chromatin microRNAs and long non-coding RNAs, interact with environ-mental factors like nutrition, pathogens, climate to influence the expression profile of genes and the emergence of specific phenotypes [8]. Multi-level interactions between the genome, epigenome and environmental factors might occur. Furthermore, numerous lines of evidence suggest the influence of epigenome variation on health and production [9]. One of the basic activities in domestic animals is the study of genes and proteins related to economic traits and their study at the cellular or chromosomal level [10]. Besides, the RNA-sequencing of tissues from embryonic stages has been performed, it still poses great difficulties for the study of the mechanisms of wool follicle morphogenesis due to limitation of phenotypic observation and variant contrast [11].Wool follicle development is a progressive process. For example, the structure of wool follicle in embryonic stage is different from that after birth [12]. Compared with the newborn period, the wool follicle structure of fur sheep changes after adulthood [13]. A small number of Merino fine wool lambs with medullated wool had also been found, but by adulthood, medulla wool has all taken off, leaving only non-medulla wool. Since the wool type variation changes with time, this implies that it has the effect of epigenetic modification and regulates gene expression when the DNA sequence remains unchanged [14]. Studies had shown that the skin tissues of coarse and fine wool sheep exhibited different levels of m6A modification, which was an important epigenetic regulation at the RNA level [15]. DNA methylation also regulates almost every aspect of biological development [16]. Whole-genome bisulfite sequencing (WGBS) was performed widely by using next-generation sequencing on bisulfite treated DNA, distinguishing methylated cytosines from cytosines [17]. WGBS has been used for epigenetic studies of sheep wool traits, for example, a recent study reported the dynamic changes of methylation pattern at different growth stages of Chinese Tan sheep and identified DMGs that were associated with age and fleece growth [14]. Another example was about the function of methylation dynamics in the transition of the Chinese Zhongwei goat curly fleece characteristic, which suggested the importance of epigenetic inheritance in controlling wool development in Zhongwei goat [18]. However, none of these reports were able to propose specific genes that are epigenetically regulated in relation to wool follicle development.

In previous studies, it has been found that the major genes of fine wool in sheep, such as IRF2BP2, are considered to be the most influential gene in fine wool sheep [19, 20]. However, almost all of these gene variations are based on genomic variations [21]. Although there are epigenetic studies related to wool development, few key epigenetic regulatory genes have been reported. In this study, we selected three pairs of full/half sib ALCs and MFs from the same family with almost the same genomic background to specifically search for major genes based on methylation differences. However, the key epigenetic regulatory loci associated with wool development was rarely reported.

Materials and methods

Animals and samples preparation

The ALC and MF wool lambs were produced by multiple-ovulation and embryo transfer (MOET), and Aohan fine wool sheep, a Merino related breed in China, were used as donors. A total of four ALC wool lambs were discovered from two families (Additional file 1: Fig. S1), of which three female ALC lambs and three female MF lambs from one ram and two ewes were used for subsequent WGS, WGBS and RNA-seq analysis, these lambs were also used for phenotype determination and gene expression analysis of different tissues. Besides, the same growth environment and feed conditions were provided to these lambs. At 30 days of age, the wool fibers at middle-sided dorsal area of each lamb were collected for determination of wool diameter. One square centimeter of middle-sided dorsal skin of these lambs was collected, and immediately frozen in liquid nitrogen for total DNA and RNA extraction and the preparation of frozen section of skin tissue.

Preparation of frozen skin sections and phenotype determination

ALC and MF wool lamb skin were sectioned at 10 μm by using freezing microtome (CM1900; Leica, Nussloch, Germany), and stained with hematoxylin and eosin staining kit (C0105S, Beyotime, Shanghai, China). Photographs were taken using the microscope (RVL-100-G, ECHO, San Diego, CA, USA). The four ALC lambs and their full/half-sib of MF wool lambs were used for statistical analysis of wool follicle diameter and wool follicle number. Specifically, for each lamb skin section, the diameter and number of primary and secondary wool follicles are measured and counted in 5 randomly selected fields under the microscope (M1, BEINO, Shanghai, China), and the average of these 5 fields is taken as the wool follicle diameter and number of this lamb. Finally, the ratio of secondary to primary wool follicle (S/P) is used to evaluate the wool quality. Besides, the wool diameter was measured using a microscope projector (M1, BEINO, Shanghai, China). In order to calculate the average fiber diameter and determine the fiber diameter distribution, wool fibers were collected from ten ALC (collected for four consecutive years in embryo transfer experiments) and ten MF wool lambs, and the Y172 fiber slicer (also called Hastelloy slicer) was used to determine wool diameter, each of which included 200 fibers for testing the wool diameter.

Whole genome re-sequencing

Skin tissues of the three sibling pairs of ALC and MF wool sheep were collected and place it in 75% ethanol for genomic DNA (gDNA) extraction. gDNA was extracted from sheep skin tissues using the TIANamp Tissue/Cell Genomic DNA extraction kit (DP304, TIANGEN, Beijing, China) following the manufacturer’s protocols. For each DNA sample, a whole-genome sequencing library was built using the Illumina TruSeq DNA Sample Preparation kit (Nextera XT, Illumina, Inc, San Diego, CA, USA) with an insert size of ~ 350 bp. The libraries were sequenced on the Illumina HiSeq 2000 platform. The paired-end reads of 100 bp were generated for each fragment. Sequencing depth was 30×. The fastqc software was used to identify the quality of sequencing data (https://www.bioinformatics.babraham.ac.uk/projects/fastqc/). The fastp software was used to conduct the quality control of sequencing data by the default parameters (https://github.com/OpenGene/fastp). Sequencing reads of WGS were aligned to the sheep reference genome (GCA_016772045.1, NCBI) using the BWA-MEM algorithm with the default parameters (http://bio-bwa.sourceforge.net/https://github.com/lh3/bwa). PCR duplicates were removed with the MarkDuplicates module in the Picard Tools package v2.9.0 (http://broadinstitute.github.io/picard/). GATK 4.0 module HaplotypeCaller was used to conduct variant calling, and variant filtering was done using the parameters “QUAL < 30, QD < 2.0, MQ < 40.0” (https://github.com/broadinstitute/gatk). The VCFtools software was used to convert the variant data file from VCF format to Plink format (https://vcftools.github.io/index.html). For quality control filtering, SNPs were removed under the call rates < 90%, minor allele frequency < 0.05, Hardy–Weinberg equilibrium < 0.00001. The phylogenic tree was constructed by the Neighbor-Joining method using phylip software (https://evolution.genetics.washington.edu/phylip.html) and was draw by Figtree software [22], using data from self-tests (Accession: PRJNA760647) and public databases (Accession: PRJNA304478 [23]), five breeds were used in the construction of phylogenetic tree, shown in Additional file 2: Table S1, Hu sheep (public data, n = 3), Ujimqin sheep (public data, n = 3), Tan sheep (public data, n = 3), Tibetan sheep (public data, n = 3), Australia Merino sheep (public data, n = 6), ALC and MF sheep (self-test data, n = 6), Pan (public data, n = 3).

Whole-genome bisulfite sequencing

Whole-genome bisulfite sequencing (WGBS) was performed as previously described [24]. Specifically, Genomic DNA (a full/half-sib family with three coarse and three fine) were isolated from skin tissues using TIANamp Tissue/Cell Genomic DNA extraction kit (DP304, TIANGEN, Beijing, China) following the manufacturer’s protocols. For each DNA sample, a whole-genome sequencing library was built using the Illumina TruSeq DNA Sample Preparation kit (Nextera XT, Illumina, Inc., San Diego, CA, USA) with an insert size of ~ 350 bp. The libraries were sequenced on the Illumina HiSeq 2000 platform. The paired-end reads of 150 bp were generated for each fragment. The raw reads were filtered to remove contaminated reads. Softwares of quality control were trim_galore and fastqc. Clean reads were mapped to the sheep reference genome (GCF_016772045.1_ARS-UI_Ramb_v2.0, NCBI) using Bismark (v0.23.1). In the whole genome BS-Seq procedure, unmethylated cytosines in genomic DNA were converted into thymines after bisulfite treatment and PCR amplification, but methylated cytosines remained unchanged. The bisulfite conversion rate was calculated using Bismark as the percentage of methylated reads in the total number of clean reads. Default parameters were used by the Bismark software. No mismatch was permitted in the “seed” during alignment. The “bismark_methylation_extractor” script packaged with Bismark was used to extract methylation calls. The methylation level at a C site was determined using the procedure referred to Cokus. The methylation status of each cytosine with higher than fivefold coverage was analyzed using the binomial distribution model. At each position, read depth was used to test whether the number of detected cytosines exceeded the number expected because of sequencing error. This analysis generated coverage statistics for methylated cytosine reads and their contexts (CG, CHG and CHH, where H can be A, T, C, respectively). To analyze differentially methylated genes (DMGs) and differentially methylated regions (DMRs), we compared coarse wool group and fine wool group using methylKit (v.0.9.2). The criteria were applied to identify methylation level differences, which was Q-value < 0.01. DMGs and DMRs were annotated using GO and KEGG functional databases to infer gene function.

mRNA-seq

A total of 5 μg of RNA from each sample was used as input material for RNA sample preparation. Ribosomal RNA was removed by using Epicentre Ribo-zero™ rRNA removal kit (Epicentre, Madison, WI, USA), the mRNA sequencing libraries were constructed by using the NEBNext® Ultra™ Directional RNA Library Prep kit for Illumina® (E7420, NEB, Beverly, MA, USA), according to the manufacturer’s instructions. The mRNA libraries were sequenced on Illumina Hiseq 2000 platform. The sheep reference genome and annotation files were obtained from the Ovis genome website ( ftp://ftp.ncbi.nlm.nih.gov/genomes/all/GCF_000298735.2_Oar_v4.0/GCF_000298735.2_Oar_v4.0_genomic.fna.gz). The clean reads were obtained from raw reads by removing poly-N regions, reads containing adapters and low-quality reads (Trimmomatic). The Q20, Q30, and GC contents of the clean reads were calculated. The reference genome index was constructed by using Bowtie2, and clean paired-end reads were aligned to the reference genome by using TopHat. The mapped reads of each sample were assembled using both Cufflinks and Scripture (beta2) with a reference-based approach. We used the PhyloFit program to compute phylogenetic models for conserved and non-conserved regions among species. The Cuffdiff algorithm was used to calculate the fragments per kilobase of exon per million fragments mapped (FPKMs) of mRNAs. Using a model based on the negative binomial distribution, the differentially expressed genes (DEGs) with an adjusted P-value (P-adjust < 0.05; Benjamini-Hochberg (BH) multiple test correction) between ALC and MF lambs were identified.

Integrated analysis of RNA-seq between coarse and fine wool sheep of different growth stages

The transcriptome data includes self-test data (Accession: PRJNA760647) and public database data, of which the public database data includes 4 Tan Sheep (Accession: PRJNA182914 [13]), 3 Super Merino and 3 Small Tail Han (Accession: PRJNA378408 [25]), 9 Aohan fine wool sheep (Accession: PRJNA595784 [26]), and 6 Tibetan sheep (Accession: PRJNA421633 [27]). The description of samples was listed in Additional file 3: Table S2. The fastqc software was used to identify the quality of sequencing data. The fastp software was used to conduct the quality control of sequencing data by the default parameters. Sequencing reads of RNA-Seq were aligned to the sheep reference genome (GCF_016772045.1_ARS-UI_Ramb_v2.0, NCBI) using the STAR algorithm with the default parameters. We used SubRead package featureCount (v2.21) for counting reads. Transcripts Per Million (TPM) method was used for normalization of RNA-seq. The t-test method for the gene expression differential analysis. The principal component analysis (PCA) was conducted using Transcripts Per Million (TPM) data through “prcomp() function” in R package “stats”.

Real time quantitative PCR

Three lambs were used to examine the expression profile of the SOSTDC1 gene among different tissues, including heart, liver, spleen, lung, kidney, muscle, fat and skin. Each tissue sample was a mixed pool of three different parts of that tissue. These lambs were sexually uniform female one-month-old lambs, including one Aohan fine-wool lamb (Fine wool), one Tan lamb (Coarse wool), and one Ujimqin lamb (Coarse wool). One-month-old lambs were used for relative expression analysis of the SOSTDC1 gene in skin tissue between coarse and fine wool breeds, including 4 ALC lambs (Coarse wool), 4 MF lambs (Fine wool), 4 Tan sheep lambs (Coarse wool), 4 Ujimqin lambs (Coarse wool) and 8 Aohan fine wool lambs (Fine wool). Each skin tissue sample was derived from a mixed pool of three different parts of the scapula. Quantitative real-time PCR (qPCR) primers of SOSTDC1 gene (accession number: XM_004007767): F: 5´ CCTCCTGCCATTCATTTCTC 3', R: 5' CGAGATGTATTTGGTGGAACG 3'. The β-actin gene (accession number: U39357) is used as a house keeping gene, The primers: 5' CTGTCCCTGTACGCCTCTGG, TTGATGTCACGGACGATTTCC 3'. Total RNA was extracted by trizol (15596026, Invitrogen, Carlsbad, CA, USA). 500 ng RNA was used to synthesize the first strand of cDNA using FastKing RT kit (KR116, TIANGEN, Beijing, China), Reaction system were carried out in a volume of 20 μL with reaction mixtures purchased from TIANGEN Biotech (Beijing) Co., Ltd. (FP205, TIANGEN, Beijing, China). CFX96TM Real-Time System was used for Q-PCR (CFX96, BIO-RAD, Hercules, CA, USA), thermal cycling conditions were as follows: 5 min at 95 °C; 40 cycles at 95, 55, and 72 °C for 1 min each; and finally 3 min at 72 °C. The results of SOSTDC1 expression related β-actin were test in triplicate.

Western-blot

One-month-old ALC, Tan, Ujimqin, MF and Aohan fine wool lambs were used for total protein extraction and subsequent Western-blot. In these five lamb breeds, 3 of each were selected for mixing pools, where Merino-1 and Merino-2 were derived from mixing pools with 3 Aohan fine wool lambs skin tissue, respectively. The skin tissues of these lambs were well ground in liquid nitrogen and the total proteins were extracted by IP lysate (P0013, Beyotime, Shanghai, China). The total proteins and the pre-stained protein molecular weight marker (MF291-01, Mei5bio, Beijing, China) were separated by 10% SDS-PAGE and transferred onto nitrocellulose membrane, then blocked one hour with blocking solution (P0252, Beyotime, Shanghai, China). The membrane was incubated overnight with mixed antibodies, that is SOSTDC1 (PK90017S, Abmart, Shanghai, China) antibody with 1:1,000 dilution and β-actin antibody with 1:2,000 dilution (AF5003, Beyotime, Shanghai, China). The overnight membrane was washed three times with washing solution (P0023C, Beyotime, Shanghai, China), then the membrane was incubated with a 1:2,000 dilution of HRP conjugated anti-rabbit secondary antibody (A0208, Beyotime, Shanghai, China) for 1 h at room temperature. Target protein were detected by Gel Documentation System (G:box, SynGene, Cambridge, UK). Band density was analyzed using image J software.

Immunofluorescence

For immunostaining, frozen sections of skin tissues were fixed with acetone for 30 min and permeabilized with 0.1% Triton-X100 for 5 min. Frozen sections were blocked with 5% BSA for 60 min and incubated with anti-SOSTDC1 (PK90017S, Abmart, Shanghai, China) antibody (1:150) at 4 °C. On the second day, frozen sections were incubated with Cy3-labeled goat anti-rabbit IgG (A0516, Beyotime, Shanghai, China) (1:300) for 60 min in the dark. Nuclei were stained with DAPI (C1005, Beyotime, Shanghai, China). The photographs were taken using a fluorescence microscope (RVL-100-G, ECHO, San Diego, CA, USA).

Statistical analysis

Differences between two groups were tested using independence Student’s t-test, two-tailed t-tests were performed with the following P-values: *P < 0.05; **P < 0.01; ***P < 0.001.

Results

Phenotypic comparison of ALC and MF wool lambs

During four consecutive years of MOET breeding of Aohan fine wool sheep, We continually find that ALC wool lambs up to one month of age have medullated wool all over their bodies, with a total percentage of 5% (Fig. 1A and Fig. S1). The coat of ALC wool lamb was composed of both medullated and non-medullated wool fibers (Fig. 1D), whereas of MF lambs had only non-medullated wool fibers (Fig. 1B). In addition, both ALC and MF wool lambs consisted of primary and secondary wool follicles, with the difference that ALC wool lambs has larger primary wool follicles than MF wool lambs (Fig. 1C and E). Moreover, the microstructure and diameter distribution of wool fibers also showed that ALC wool lambs contained a large proportion of medullated wool, while MF lambs had non-medullated wool fibers with uniform diameter (Fig. 1F). Given that medullated wool are developed from primary wool follicles [28], we measured wool follicle diameters and S/P ratio in ALC and MF wool lambs and the results showed that the primary wool follicles diameter was significantly larger in ALC group than that of MF group, while the secondary wool follicles diameter was not significantly different between this two groups (Fig. 1G). In addition, the S/P tatio of the MF wool lambs were significantly higher than that of the ALC group (Fig. 1H). these results suggested that the postpone development of primary wool follicles should have contribution to the appearance of ALC fibers in the fine wool lamb population.

Fig. 1.

Fig. 1

Discovery of ALC wool lambs in fine wool sheep population. A The appearance of ALC and MF wool lambs in P30. B The wool fibers of MF wool lambs. C The Cross-sectioning of MF lamb skin and subsequent HE staining. D The wool fibers of ALC wool lambs. E The Cross-sectioning of ALC lamb skin and subsequent HE staining. The bars in C and E are 180 μm. F The distribution of ALC and MF wool diameters. G Comparison and analysis of primary and secondary wool follicle diameters in ALC and MF wool type lambs. P: primary wool follicles, S: secondary wool follicles. ***P < 0.001. H Comparative analysis of S/P ratio for ALC and MF wool type lambs. S/P: Ratio of the number of secondary wool follicles to primary wool follicles. ***P < 0.001

WGBS revealed SOSTDC1 as the key gene associated with the ALC wool type

ALC and MF siblings were used for whole genome resequencing (Additional file 2: Table S1) and WGBS (Additional file 4: Table S3). Phylogenic tree based on whole-genome SNPs showed that both ALC and MF wool sheep were clustered together with Australia Merino sheep, although they showed different wool types (Fig. 2A). This result indicated that the coarse wool phenotype of ALC lambs was not led by recent introgression hybridization of coarse wool sheep breed, but rather by some mechanism hidden in the population of fine wool sheep except for genomic DNA variation. Therefore, WGBS was conducted to identify epigenetic signals. PCA of WGBS data showed a distinct separation between ALC and MF wool lambs (Fig. 2B). A total of 1,586 differentially methylated regions (DMRs) related genes were screened, among which, 856 hypermethylated and 730 hypomethylated genes were identified (Additional file 5: Fig. S2). Manhattan plot was constructed by comparing the significance of differentially methylated CpG sites in different chromosomes, and the most significant differentially methylated CpG sites were located on chromosome 4 (Fig. 2C and D). Furthermore, all the top differentially methylated CpG sites were located on the second exon of the SOSTDC1 gene (Fig. 2D). In addition, the gene structural analysis showed that the second exon of SOSTDC1 gene has the highest GC content and unique CpG island (Fig. 2E), which was in line with the results of WGBS (Fig. 2D).

Fig. 2.

Fig. 2

The key gene was revealed by whole genome methylation sequencing (WGBS). A The construction of phylogenic tree among different sheep breeds according to whole genome resequencing data. B The principal component analysis (PCA) of WGBS data in ALC and MF group. C Manhattan plot of differentially methylated CpGs in ALC vs. MF lambs. D The distribution of differentially methylated CpG sites on chromosome 4 and SOSTDC1 gene. E Methylation pattern map of SOSTDC1 gene was constructed based on the results of WGBS and prediction online tool (https://www.ebi.ac.uk/Tools/seqstats/emboss_cpgplot/)

Transcriptome analyses revealed the key pathway of ALC wool type

The same samples as for WGBS were used for RNA-seq to detect ALC related DEGs and corresponding pathways. PCA of RNA-seq data showed distinct expression signatures between ALC and MF skin tissues (Fig. 3A). A total of 728 genes were higher expressed in ALC lamb skin tissue and 805 genes were lower expressed in this group (Additional file 6: Table S4). SOSTDC1 genes was found in the overlapping genes with up-regulated DEGs and hypermethylation related genes in ALC lambs (Fig. 3B). Among the up-regulated genes, “Hair follicle morphogenesis” was the first significantly highly enriched and obviously, this category serves as the most important symbol in hair follicle development (Fig. 3C). And the significantly enriched Wnt signaling pathway is also known for hair follicle morphogenesis (Fig. 3C) [29]. Notably, both of these pathways contain the SOSTDC1 gene, which, along with other important genes, was at the top of all up-regulated DEGs in the skin of ALC lambs (Fig. 3D). Interestingly, “regulation of gene expression by genetic imprinting” was enriched in top ranking terms, which was consisted of four genes: DNMT3A, ARID4A, BRCA1 and CTCF, all of which are related to the DNA methylation (Fig. 3C) [3033].

Fig. 3.

Fig. 3

Transcriptomic data revealed the key signals of ALC wool trait. A PCA of RNA-seq data in ALC and MF wool lambs. B The overlapped genes between hypermethylated genes and up-regulated DEGs in ALC lambs. C Gene Ontology and KEGG pathway analysis of DEGs in ALC and MF wool lamb skin. The bottom X-axis represents the negative logarithm of the P-values (classic Fisher t-test) enriched by the corresponding gene ontology terms and KEGG pathways; The X-axis at the top shows the count level, also shown in red broken lines. D The expression of key candidate genes in ALC wool lamb skin

Analogy between ALC lambs and the modern coarse wool sheep breeds

In order to trace the significance of the ALC wool lamb model for study of wool follicle morphogenesis, we picked out the DEGs from the public transcriptome data of coarse and fine wool sheep breeds at three different developmental stages, of which are embryo, birth and adult (Fig. 4A and Additional file 3: Table S2). The raw expression counts from different sources were normalized using TPM method (Additional file 7: Fig. S3A). PCA analysis of the transcriptome data showed that coarse and fine wool sheep are virtually indistinguishable in adulthood, and there were no absolute differences between coarse and fine wool sheep at birth (Fig. 4B). However, embryonic coarse wool sheep were completely clustered together and clearly separated from embryonic fine wool sheep (Fig. 4B). Similar hair follicle morphogenesis related pathways were enriched in embryonic period of coarse wool breeds versus ALC wool lambs (Fig. 5A and Additional file 7: Fig. S3B). Moreover, similar significantly higher expression of epigenetic regulators was present in embryo of coarse wool sheep as in ALC lamb skin tissue (Fig. 4C and D), and ranked among the top of all up-regulated DEGs (Fig. 4E). This illustrated that the ALC lambs identified in this study have a comparable regulation pattern of wool follicle morphogenesis at the embryonic stage in the general coarse wool breeds, which provides better chance for investigating of genes and epigenetic regulatory mechanisms involved in wool type variations.

Fig. 4.

Fig. 4

Analysis of differentially expressed genes at different developmental stages of skin tissue between coarse and fine wool breeds using transcriptome public data. A RNA-seq data analysis workflow of coarse and fine wool breeds. (I) Fastq data check and quality control. (II) Reads alignment and count. (III) Gene differential expression analysis. B PCA analysis of all expressed genes for sheep of different breeds and different periods. C The bar-plot of TPM mean for DNMT3A, ARID4A, BRCA1, CTCF gene between coarse and fine wool breeds at three stages. *0.01 < P < 0.05, ***P < 0.001. D The bar-plot of TPM mean for METTL3, METTL14, FTO, ALKBH5, YTHDF1, YTHDF2 and HNRNPA2B1 gene between coarse and fine wool breed at three stages. *0.01 < P < 0.05, ***P < 0.001. E The key epigenetic regulators expression in ALC wool lamb skin

Fig. 5.

Fig. 5

Comparison of the molecular mechanism of coarse wool follicle morphogenesis between ALC and coarse wool lamb breeds. A Analysis of top GO terms and KEGG pathways (Metascape database: http://www.metascape.org/) by using up and down-regulated differentially expressed genes in ALC wool lamb skin. −log10 of the P value as were taken at the X-axis for enrichment analysis. The up-regulated differentially expressed genes in embryos are shown in red bars, while the blue bars indicate the at-birth or adulthood stage. The numbers represent the number of genes enriched in each term. B The overlap of up-regulated DEGs in hair follicle morphogenesis process between ALC wool lambs and coarse wool lamb breeds. C The overlap of up-regulated DEGs in Wnt signal pathway between ALC wool lambs and coarse wool lamb breeds. D Expression analysis of candidate genes among coarse and fine wool breeds at different developmental stages. *0.01 < P < 0.05, **P < 0.01, ***P < 0.001. E Analysis of key protein interactions network by using online tool (GeneMANIA: http://genemania.org/)

Both “Hair follicle morphogenesis” and “Wnt signal pathway” were enriched at the embryonic stage of coarse wool sheep breeds as well as in ALC lambs. In addition, all up-regulated DEGs related to hair follicle morphogenesis process in ALC group were overlapped to that in embryonic stage of the coarse wool sheep breeds (Fig. 5A–C). The candidate genes, including the SOSTDC1, showed significantly higher expression levels in coarse wool sheep skin tissues, and there is a decreasing expression trend from embryonic to birth and then to adulthood (Fig. 5D), indicating that these genes mainly function at the embryonic stage. Gene interaction analysis showed that the SOSTDC1 gene has the potential to interoperate with BMP family proteins (Fig. 5E).

Validation of SOSTDC1 as a key candidate gene for wool follicle development

mRNA expression profile among lamb tissues showed that the SOSTDC1 gene is specifically highly expressed in skin tissues and its expression was 274-fold higher than average in other tissues (Fig. 6A). Further analysis of the relative expression of the SOSTDC1 gene in skin tissues between coarse and fine wool sheep at newborn stage showed that the expression of SOSTDC1 gene in the coarse wool lambs was higher than in the fine wool lambs, with a highly significant difference at a multiplicity of 40 (Fig. 6B). Amino acid sequence alignment analysis showed that SOSTDC1 protein has 93% homology among human, mouse and sheep (Fig. 6C). Therefore, the SOSTDC1 antibody was used for Western-blot assay, which showed that SOSTDC1 protein expression was significantly higher in coarse wool lambs than in fine wool lambs (Fig. 6D and E). In addition, localization of SOSTDC1 protein expression in skin tissues was detected by immunofluorescence, the result showed that the expression level of SOSTDC1 protein was higher in ALC wool lambs skin tissue than that of MF wool lambs, especially in the outer/inner root sheath of primary wool follicles (Additional file 8: Fig. S4). Besides, high magnification microscopic results of primary wool follicles of ALC wool lamb skin tissue showed that SOSTDC1 protein was highly expressed in the cell membrane of wool matrix cells and the nucleus of wool dermal papillae (the stem cells), respectively (Fig. 6F).

Fig. 6.

Fig. 6

The expression analysis of SOSTDC1 gene. A The relative expression of SOSTDC1 at different tissues of newborn stage lambs, n = 3, the different letters indicate significant difference among tissues (P < 0.05). B The relative expression of SOSTDC1 mRNA between coarse and fine wool lambs skin tissue, ALC lambs: the ancestral-like coarse lambs in this study (n = 4), Tan lambs: Tan sheep breed at one month of age (n = 4), Ujimqin lambs: Ujimqin sheep breed at one month of age (n = 4), Merino lambs: Aohan fine wool sheep at one month of age (n = 4), MF lambs: The half/full siblings of ALC lambs with fine wool (n = 4). C The amino acid sequence alignment of SOSTDC1 protein in mice, sheep and humans using DANMAN software. D Western-blot analysis of SOSTDC1 protein skin tissues of coarse and fine wool lambs. β-actin was used as housekeeping protein. ALC: the ancestral-like coarse lamb, Tan: Tan lamb, Ujimqin: Ujimqin lamb, MF: The half/full siblings of ALC lambs with fine wool, Merino-1 and Merino-2 indicate Aohan fine wool lamb. E Gray-scale analysis of Western-blot result in D using image J. *0.01 < P < 0.05. SOSTDC1 protein was detected in primary wool follicle of ALC lambs by immunofluorescence. The left, Immunofluorescent staining for SOSTDC1. The middle, Nuclei were stained with DAPI. The right, Merged immunofluorescence images using SOSTDC1 (red) and DAPI–stained nuclei (blue)

Discussion

Primary wool follicles develop by embryonic d 50–90 (E50 to E90) in sheep and secondary wool follicles by embryonic d 80–100 [34]. In the Merino breed, the development of secondary follicles continues until three months after birth [35]. Larger primary wool follicles generate medullated coarse wool, and smaller primary and secondary wool follicles generate non-medullated fine wool [7]. In general, fine wool sheep are coated with non-medullated wool from birth [36]. The ALC wool lambs found in this study in a population of fine wool sheep with the same genetic background, but the ALC wool lambs retained significant medullated wool after birth. It was observed that its medullated wool gradually faded away with age, just as its late embryonic primary wool follicles gradually decreased [7]. Our study compared the embryos of modern coarse wool sheep and ALC wool lambs, which have distinct similarities in gene expression. The results of this study showed that Hair Follicle Morphogenesis and Wnt signaling pathways were enriched in both of the comparison groups. Moreover, all Hair Follicle Morphogenesis related genes of the ALC group also appeared in the same pathway of up-regulated DEGs in the embryonic stage of coarse wool breeds. This suggests that the molecular mechanisms of wool follicle morphogenesis are somewhat similar between ALC lambs and other coarse wool breeds. The ALC wool trait is likely due to the delay from the embryonic stage to the early postnatal stage in the process of primary wool follicle development. Although we found significantly associated genes, the related molecular mechanisms still need continued investigation.

Among the candidate genes, numerous studies have shown that SOSTDC1 and TGFB2 play crucial roles for normal hair follicle formation, for example, SODTDC1 has an important impact on the size of primary hair placodes [37]. Protein interaction analysis has shown that the proteins interacting with SOSTDC1 are mainly members of the BMP family, such as BMP2, BMP4, BMP6 and BMP7 (Fig. 5E), and SOSTDC1 is an antagonist of the BMP signaling pathway, which inhibits its activity by binding to BMP family proteins [38]. It has also been shown that active BMP signaling has an inhibitory effect on hair follicle development [39, 40]. Therefore, it can be hypothesized that SOSTDC1 is able to promote hair follicle development by inhibiting the activity of the BMP signaling pathway. In addition, it was also shown that SOSTDC1 and TGFB2 genes are critical for the regulation of the immune system, with SOSTDC1 secreted from dermal lymphatic vessels identified as growth a factor for hair follicle growth [41]. Moreover, three TGF-β isoforms (TGFB1 [42], TGFB2 [43] and TGFB3 [44]) are expressed in mammalian epithelium, they all belong to the TGF signaling pathway [45], which are all closely associated with immune regulation [46] and hair follicle development [47]. Besides, TGFB3 can be secreted by regulatory T cells and promotes hair follicle regeneration [48], suggesting a close association between the immune system and hair follicle development. In fact, numerous studies have shown that regulatory T cells in the skin play a major role in hair follicle biology [4951]. In this study, the down-regulated DEGs of ALC group were also enriched to the immune signaling pathway and ranked first in the list (Fig. 3C). This result further suggested the negative correlation between immunity and wool follicle development [49]. In fact, it has been shown that the highly expressed genes at E135-P30 were significantly enriched in various immune processes [11], and this is the time when the development of primary wool follicles are inhibited while secondary wool follicles are growing vigorously [34]. Therefore, in the ALC model, we hypothesize that SOSTDC1 and TGFB2 likely work together as a bridge to maintain the balance between immunity and wool follicle development, which is also expected further explorations.

When analyzing the DEGs of wool type between the ALC/MF model and coarse/fine wool breeds, we found that numerous epigenetic regulators were significantly differentially expressed between the coarse and fine wool types at the key stage for wool follicle morphogenesis. This suggests that the wool types are likely to be epigenetically regulated [14]. In this study, we found that the differential methylation signal of SOSTDC1 gene was ranked at the top, and combined with the expression characteristics of SOSTDC1 gene, we suggest that differential methylation of SOSTDC1 is the main reason for differential expression of the SOSTDC1 gene, and consequently the formation of the ALC wool type. Indeed, in the studies related to genome-wide methylation analysis to date, the significantly differential methylation sites tend to be scattered across chromosomes [5255], however, in this study, the differentially methylated sites were concentrated in one gene and the signals were much more significant than other sites in the genome. This result is most likely due to three reasons: first, the samples tested are siblings with a relatively consistent genetic background, second, the target characteristics are distinctly different and the time points and body parts where the samples were collected are precisely consistent among individuals, and finally, there does exist a CpG island on the second exon of sheep SOSTDC1 gene (Fig. 2E) that is susceptible to modification by DNA methylation. In addition, differentially expressed RNA methylation regulators were also screened for significantly higher expression in skin tissues of ALC lambs and coarse wool sheep embryos (Fig. 4D and E). This suggests that RNA methylation may influence wool follicle morphogenesis [56, 57]. In our previous study, we found that PI3K/AKT signaling pathway related genes were affected by RNA methylation in the ALC group by meRIP-seq [58], therefore, we speculated that both DNA and RNA methylation contributes to the generation of the ALC wool type.

Conclusions

In this study, we found newborn lambs with coarse medullated wool, which were so called ancestral-like coarse (ALC) wool sheep, in a modern fine (MF) wool sheep population by MOET breeding. Using this model, we found the strongest differential methylation locus located in the second exon of the SOSTDC1 gene, which corresponds to the differential expression of the SOSTDC1 gene revealed by transcriptome analysis. Validation experiments showed that SOSTDC1 gene was specifically overexpressed in the nucleus of wool follicle stem cells of ALC wool lambs, indicating its importance in primary wool follicle development. This study provides a new perspective for the role of epigenetics in wool follicle development, and its role in wool sheep domestication and breeding.

Supplementary Information

40104_2023_893_MOESM1_ESM.jpg (228.7KB, jpg)

Additional file 1: Fig. S1. The genealogical relations of ALC wool type lambs.

40104_2023_893_MOESM2_ESM.xlsx (12.9KB, xlsx)

Additional file 2: Table S1. Information about part of the whole genome re-sequence data in this study.

40104_2023_893_MOESM3_ESM.xlsx (12.6KB, xlsx)

Additional file 3: Table S2. Information about part of the RNA-seq data in this study.

40104_2023_893_MOESM4_ESM.xlsx (10.3KB, xlsx)

Additional file 4: Table S3. The evaluation of WGBS data.

40104_2023_893_MOESM5_ESM.jpg (140.2KB, jpg)

Additional file 5: Fig. S2. The filtration of differentially methylated genes and the statistics of DMRs in different gene regulatory elements, Filtering criteria: −log10> 20.

40104_2023_893_MOESM6_ESM.xlsx (297.2KB, xlsx)

Additional file 6: Table S4. The list of DEGs between ALC and MF wool lambs.

40104_2023_893_MOESM7_ESM.jpg (874.3KB, jpg)

Additional file 7: Fig. S3. Analysis of differentially expressed genes at different developmental stages of skin tissue between coarse and fine wool breeds using transcriptome public data. A The raw expression count was normalized using TPM method. B The heatmap of highly expressed DEGs in sheep skin of different breeds and different periods.

40104_2023_893_MOESM8_ESM.jpg (979.3KB, jpg)

Additional file 8: Fig. S4. SOSTDC1 protein was detected in skin tissues of ALC and MF lambs by immunofluorescence. Nuclei were stained with DAPI.

Acknowledgements

We thank all the collaborators in Jinfeng Animal Husbandry Group Co., Ltd. (Chifeng, China) for keeping experimental sheep well.

Abbreviations

ALC

Ancestral-like coarse

BS-Seq

Bisulfite sequencing

DEGs

Differentially expressed genes

DMG

Differentially methylated gene

DMR

Differentially methylated region

FDR

False discovery rate

GO

Gene Ontology

KEGG

Kyoto Encyclopedia of Genes and Genomes

mC

5-methylated cytosines

MF

Modern fine

MOET

Multiple ovulation and embryo transfer

PCR

Polymerase chain reaction

WGBS

Whole genome bisulfite sequencing

WGS

Whole-genome resequencing

Authors’ contributions

XMD designed the research. XMD and JKW wrote the manuscript. JKW and GYH performed the experiments. JKW, GYH and GXC analyzed the data. YFZ, QM, RL, JBL, KLW, YHM, XY and LTZ participated in manuscript revision or sample collection. The authors read and approved the final manuscript.

Funding

This research was supported by the programs of National Key R&D Program of China (2021YFF1000700), National Natural Science Foundation of China (32002145), the Major Project for Cultivation Technology of New Varieties of Genetically Modified Organisms of the Ministry of Agriculture (grant Nos. 2016ZX08008-001 and 2013ZX08008-001), Ningxia Agricultural Breeding Project (NXNYYZ2015010).

Availability of data and materials

The WGS, WGBS-seq and RNA-seq data reported in this study had been deposited in National Center for Biotechnology Information with the accession numbers PRJNA760647, PRJNA760832 and PRJNA760789.

Declarations

Ethics approval and consent to participate

Experimental procedures were approved by the Animal Welfare Committee in the State Key Laboratory for Agrobiotechnology at China Agricultural University (permit number: SKLAB-2012–04-07) and this study was carried out in strict accordance with the guidelines and regulations established by this committee.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

References

  • 1.Sarti FM, Lasagna E, Panella F, Lebboroni G, Renieri C. Wool quality in Gentile di Puglia sheep breed as measure of genetic integrity. Ital J Anim Sci. 2006;5(4):371–6. doi: 10.4081/ijas.2006.371. [DOI] [Google Scholar]
  • 2.Pereira F, Davis SJ, Pereira L, McEvoy B, Bradley DG, Amorim A. Genetic signatures of a Mediterranean influence in Iberian Peninsula sheep husbandry. Mol Biol Evol. 2006;23(7):1420–1426. doi: 10.1093/molbev/msl007. [DOI] [PubMed] [Google Scholar]
  • 3.Ciani E, Lasagna E, D'Andrea M, Alloggio I, Marroni F, Ceccobelli S, et al. Merino and Merino-derived sheep breeds: A genome-wide intercontinental study. Genet Sel Evol. 2015;47:64. doi: 10.1186/s12711-015-0139-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Ma GW, Chu YK, Zhang WJ, Qin FY, Xu SS, Yang H, et al. Polymorphisms of FST gene and their association with wool quality traits in Chinese Merino sheep. Plos One. 2017;12(4):e174868. doi: 10.1371/journal.pone.0174868. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Guerra MH, Cabrera MC, Abella DF, Saadoun A, Burton A. Se and I status in pregnant ewes from a pastoral system and the effect of supplementation with Se and I or only Se on wool quality of lambs. Heliyon. 2019;5(9):e2486. doi: 10.1016/j.heliyon.2019.e02486. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Dl A, Ba K, Bn N. Increase in dermal papilla cells by proliferation during development of the primary wool follicle. Aust J Agr Res. 1992;43(4):843–856. doi: 10.1071/AR9920843. [DOI] [Google Scholar]
  • 7.McDowall ML, Edwards NM, Hynd PI. The effects of short-term manipulation of thyroid hormone status coinciding with primary wool follicle development on fleece characteristics in Merino sheep. Animal. 2011;5(9):1406–1413. doi: 10.1017/S1751731111000383. [DOI] [PubMed] [Google Scholar]
  • 8.Barazandeh A, Mohammadabadi MR, Ghaderi-Zefrehei M, Nezamabadipour H. Genome-wide analysis of CpG islands in some livestock genomes and their relationship with genomic features. Czech J Anim Sci. 2016;61(11):487–95. doi: 10.17221/78/2015-CJAS. [DOI] [Google Scholar]
  • 9.Mohamadipoor SL, Mohammadabadi M, Amiri GZ, Babenko O, Stavetska R, Kalashnik O, et al. Signature selection analysis reveals candidate genes associated with production traits in Iranian sheep breeds. BMC Vet Res. 2021;17(1):369. doi: 10.1186/s12917-021-03077-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Safaei S, Dadpasand M, Mohammadabadi M, Atashi H, Stavetska R, Klopenko N, et al. An origanum majorana leaf diet influences myogenin gene expression, performance, and carcass characteristics in lambs. Animals (Basel). 2022;13(1):14. 10.3390/ani13010014. [DOI] [PMC free article] [PubMed]
  • 11.Zhao B, Luo H, He J, Huang X, Chen S, Fu X, et al. Comprehensive transcriptome and methylome analysis delineates the biological basis of hair follicle development and wool-related traits in Merino sheep. BMC Biol. 2021;19(1):197. doi: 10.1186/s12915-021-01127-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Sennett R, Rendl M. Mesenchymal-epithelial interactions during hair follicle morphogenesis and cycling. Semin Cell Dev Biol. 2012;23(8):917–927. doi: 10.1016/j.semcdb.2012.08.011. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Kang X, Liu G, Liu Y, Xu Q, Zhang M, Fang M. Transcriptome profile at different physiological stages reveals potential mode for curly fleece in Chinese tan sheep. PLoS One. 2013;8(8):e71763. doi: 10.1371/journal.pone.0071763. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Liu Y, Xu Q, Kang X, Wang K, Wang J, Feng D, et al. Dynamic changes of genomic methylation profiles at different growth stages in Chinese Tan sheep. J Anim Sci Biotechnol. 2021;12(1):118. doi: 10.1186/s40104-021-00632-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Wang Y, Zheng Y, Guo D, Zhang X, Guo S, Hui T, et al. M6A methylation analysis of differentially expressed genes in skin tissues of coarse and fine type liaoning cashmere goats. Front Genet. 2019;10:1318. doi: 10.3389/fgene.2019.01318. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Smith ZD, Meissner A. DNA methylation: Roles in mammalian development. Nat Rev Genet. 2013;14(3):204–220. doi: 10.1038/nrg3354. [DOI] [PubMed] [Google Scholar]
  • 17.Frommer M, McDonald LE, Millar DS, Collis CM, Watt F, Grigg GW, et al. A genomic sequencing protocol that yields a positive display of 5-methylcytosine residues in individual DNA strands. Proc Natl Acad Sci USA. 1992;89(5):1827–1831. doi: 10.1073/pnas.89.5.1827. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Xiao P, Zhong T, Liu Z, Ding Y, Guan W, He X, et al. Integrated analysis of methylome and transcriptome changes reveals the underlying regulatory signatures driving curly wool transformation in Chinese Zhongwei goats. Front Genet. 2019;10:1263. doi: 10.3389/fgene.2019.01263. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Demars J, Cano M, Drouilhet L, Plisson-Petit F, Bardou P, Fabre S, et al. Genome-Wide identification of the mutation underlying fleece variation and discriminating ancestral hairy species from modern woolly sheep. Mol Biol Evol. 2017;34(7):1722–1729. doi: 10.1093/molbev/msx114. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Lv FH, Cao YH, Liu GJ, Luo LY, Lu R, Liu MJ, et al. Whole-genome resequencing of worldwide wild and domestic sheep elucidates genetic diversity, introgression, and agronomically important loci. Mol Biol Evol. 2022;39(2):msab353. 10.1093/molbev/msab353. [DOI] [PMC free article] [PubMed]
  • 21.Wright D. The genetic architecture of domestication in animals. Bioinform Biol Insights. 2015;9(Suppl 4):11–20. doi: 10.4137/BBI.S28902. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Lin MF, Jungreis I, Kellis M. PhyloCSF: A comparative genomics method to distinguish protein coding and non-coding regions. Bioinformatics. 2011;27(13):i275–i282. doi: 10.1093/bioinformatics/btr209. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Cheng J, Cao X, Hanif Q, Pi L, Hu L, Huang Y, et al. Integrating Genome-Wide CNVs into QTLs and high confidence GWAScore regions identified positional candidates for sheep economic traits. Front Genet. 2020;11:569. doi: 10.3389/fgene.2020.00569. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Kulis M, Heath S, Bibikova M, Queiros AC, Navarro A, Clot G, et al. Epigenomic analysis detects widespread gene-body DNA hypomethylation in chronic lymphocytic leukemia. Nat Genet. 2012;44(11):1236–1242. doi: 10.1038/ng.2443. [DOI] [PubMed] [Google Scholar]
  • 25.Zhang L, Sun F, Jin H, Dalrymple BP, Cao Y, Wei T, et al. A comparison of transcriptomic patterns measured in the skin of Chinese fine and coarse wool sheep breeds. Sci Rep. 2017;7(1):14301. doi: 10.1038/s41598-017-14772-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Zhao R, Liu N, Han F, Li H, Liu J, Li L, et al. Identification and characterization of circRNAs in the skin during wool follicle development in Aohan fine wool sheep. BMC Genomics. 2020;21(1):187. doi: 10.1186/s12864-020-6599-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Nie Y, Li S, Zheng X, Chen W, Li X, Liu Z, et al. Transcriptome reveals long non-coding RNAs and mRNAs involved in primary wool follicle induction in carpet sheep fetal skin. Front Physiol. 2018;9:446. doi: 10.3389/fphys.2018.00446. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Ciani E, Lasagna E, D'Andrea M, Alloggio I, Marroni F, Ceccobelli S, et al. Merino and Merino-derived sheep breeds: A genome-wide intercontinental study. Genet Sel Evol. 2015;47:64. doi: 10.1186/s12711-015-0139-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Andl T, Reddy ST, Gaddapara T, Millar SE. WNT signals are required for the initiation of hair follicle development. Dev Cell. 2002;2(5):643–653. doi: 10.1016/s1534-5807(02)00167-3. [DOI] [PubMed] [Google Scholar]
  • 30.Deplus R, Blanchon L, Rajavelu A, Boukaba A, Defrance M, Luciani J, et al. Regulation of DNA methylation patterns by CK2-mediated phosphorylation of Dnmt3a. Cell Rep. 2014;8(3):743–753. doi: 10.1016/j.celrep.2014.06.048. [DOI] [PubMed] [Google Scholar]
  • 31.Ren J, Yao H, Hu W, Perrett S, Gong W, Feng Y. Structural basis for the DNA-binding activity of human ARID4B Tudor domain. J Biol Chem. 2021;296:100506. doi: 10.1016/j.jbc.2021.100506. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Shukla V, Coumoul X, Lahusen T, Wang RH, Xu X, Vassilopoulos A, et al. BRCA1 affects global DNA methylation through regulation of DNMT1. Cell Res. 2010;20(11):1201–1215. doi: 10.1038/cr.2010.128. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Wang H, Maurano MT, Qu H, Varley KE, Gertz J, Pauli F, et al. Widespread plasticity in CTCF occupancy linked to DNA methylation. Genome Res. 2012;22(9):1680–1688. doi: 10.1101/gr.136101.111. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Moore GP, Jackson N, Lax J. Evidence of a unique developmental mechanism specifying both wool follicle density and fibre size in sheep selected for single skin and fleece characters. Genet Res. 1989;53(1):57–62. doi: 10.1017/s0016672300027865. [DOI] [PubMed] [Google Scholar]
  • 35.Sun H, He Z, Xi Q, Zhao F, Hu J, Wang J, et al. Lef1 and dlx3 may facilitate the maturation of secondary hair follicles in the skin of gansu alpine merino. Genes (Basel). 2022;13(8):1326. 10.3390/genes13081326. [DOI] [PMC free article] [PubMed]
  • 36.Safari E, Fogarty NM, Gilmour AR, Atkins KD, Mortimer SI, Swan AA, et al. Genetic correlations among and between wool, growth and reproduction traits in Merino sheep. J Anim Breed Genet. 2007;124(2):65–72. doi: 10.1111/j.1439-0388.2007.00641.x. [DOI] [PubMed] [Google Scholar]
  • 37.Narhi K, Tummers M, Ahtiainen L, Itoh N, Thesleff I, Mikkola ML. Sostdc1 defines the size and number of skin appendage placodes. Dev Biol. 2012;364(2):149–161. doi: 10.1016/j.ydbio.2012.01.026. [DOI] [PubMed] [Google Scholar]
  • 38.Henley KD, Gooding KA, Economides AN, Gannon M. Inactivation of the dual Bmp/Wnt inhibitor Sostdc1 enhances pancreatic islet function. Am J Physiol Endocrinol Metab. 2012;303(6):E752–E761. doi: 10.1152/ajpendo.00531.2011. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Oshimori N, Fuchs E. Paracrine TGF-beta signaling counterbalances BMP-mediated repression in hair follicle stem cell activation. Cell Stem Cell. 2012;10(1):63–75. doi: 10.1016/j.stem.2011.11.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Botchkarev VA. Bone morphogenetic proteins and their antagonists in skin and hair follicle biology. J Invest Dermatol. 2003;120(1):36–47. doi: 10.1046/j.1523-1747.2003.12002.x. [DOI] [PubMed] [Google Scholar]
  • 41.Yoon SY, Detmar M. Sostdc1 secreted from cutaneous lymphatic vessels acts as a paracrine factor for hair follicle growth. Curr Issues Mol Biol. 2022;44(5):2167–2174. doi: 10.3390/cimb44050146. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Ingman WV, Robertson SA. Mammary gland development in transforming growth factor beta1 null mutant mice: Systemic and epithelial effects. Biol Reprod. 2008;79(4):711–717. doi: 10.1095/biolreprod.107.067272. [DOI] [PubMed] [Google Scholar]
  • 43.Yang B, Bai J, Shi R, Shao X, Yang Y, Jin Y, et al. TGFB2 serves as a link between epithelial-mesenchymal transition and tumor mutation burden in gastric cancer. Int Immunopharmacol. 2020;84:106532. doi: 10.1016/j.intimp.2020.106532. [DOI] [PubMed] [Google Scholar]
  • 44.Yang LT, Kaartinen V. Tgfb1 expressed in the Tgfb3 locus partially rescues the cleft palate phenotype of Tgfb3 null mutants. Dev Biol. 2007;312(1):384–395. doi: 10.1016/j.ydbio.2007.09.034. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Xu Y, Pasche B. TGF-beta signaling alterations and susceptibility to colorectal cancer. Hum Mol Genet. 2007;16(R1):R14–20. 10.1093/hmg/ddl486. [DOI] [PMC free article] [PubMed]
  • 46.Taylor AW. Review of the activation of TGF-beta in immunity. J Leukoc Biol. 2009;85(1):29–33. doi: 10.1189/jlb.0708415. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Tsuji Y, Denda S, Soma T, Raftery L, Momoi T, Hibino T. A potential suppressor of TGF-beta delays catagen progression in hair follicles. J Investig Dermatol Symp Proc. 2003;8(1):65–68. doi: 10.1046/j.1523-1747.2003.12173.x. [DOI] [PubMed] [Google Scholar]
  • 48.Liu Z, Hu X, Liang Y, Yu J, Li H, Shokhirev MN, et al. Glucocorticoid signaling and regulatory T cells cooperate to maintain the hair-follicle stem-cell niche. Nat Immunol. 2022;23(7):1086–1097. doi: 10.1038/s41590-022-01244-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Ali N, Rosenblum MD. Regulatory T cells in skin. Immunology. 2017;152(3):372–381. doi: 10.1111/imm.12791. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Sanchez RR, Pauli ML, Neuhaus IM, Yu SS, Arron ST, Harris HW, et al. Memory regulatory T cells reside in human skin. J Clin Invest. 2014;124(3):1027–1036. doi: 10.1172/JCI72932. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Chow Z, Mueller SN, Deane JA, Hickey MJ. Dermal regulatory T cells display distinct migratory behavior that is modulated during adaptive and innate inflammation. J Immunol. 2013;191(6):3049–3056. doi: 10.4049/jimmunol.1203205. [DOI] [PubMed] [Google Scholar]
  • 52.Mok A, Solomon O, Nayak RR, Coit P, Quach HL, Nititham J, et al. Genome-wide profiling identifies associations between lupus nephritis and differential methylation of genes regulating tissue hypoxia and type 1 interferon responses. Lupus Sci Med. 2016;3(1):e183. doi: 10.1136/lupus-2016-000183. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.McKinney BC, McClain LL, Hensler CM, Wei Y, Klei L, Lewis DA, et al. Schizophrenia-associated differential DNA methylation in brain is distributed across the genome and annotated to MAD1L1, a locus at which DNA methylation and transcription phenotypes share genetic variation with schizophrenia risk. Transl Psychiat. 2022;12(1):340. doi: 10.1038/s41398-022-02071-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Andrews SV, Yang IJ, Froehlich K, Oskotsky T, Sirota M. Large-scale placenta DNA methylation integrated analysis reveals fetal sex-specific differentially methylated CpG sites and regions. Sci Rep. 2022;12(1):9396. doi: 10.1038/s41598-022-13544-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Wang C, Wang M, Ma J. Analysis of genome-wide DNA methylation patterns in obesity. Endocr J. 2021;68(12):1439–1453. doi: 10.1507/endocrj.EJ20-0734. [DOI] [PubMed] [Google Scholar]
  • 56.Hui T, Zhu Y, Shen J, Bai M, Fan Y, Feng S, et al. Identification and molecular analysis of m(6)A-circRNAs from cashmere goat reveal their integrated regulatory network and putative functions in secondary hair follicle during anagen stage. Animals (Basel). 2022;12(6):694. 10.3390/ani12060694. [DOI] [PMC free article] [PubMed]
  • 57.Wang Y, Zheng Y, Guo D, Zhang X, Guo S, Hui T, et al. M6A methylation analysis of differentially expressed genes in skin tissues of coarse and fine type liaoning cashmere goats. Front Genet. 2019;10:1318. doi: 10.3389/fgene.2019.01318. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Hua G, Yang X, Ma Y, Li T, Wang J, Deng X. M6A methylation analysis reveals networks and key genes underlying the coarse and fine wool traits in a full-sib merino family. Biology (Basel). 2022;11(11):1637. 10.3390/biology11111637. [DOI] [PMC free article] [PubMed]

Associated Data

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

Supplementary Materials

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Additional file 1: Fig. S1. The genealogical relations of ALC wool type lambs.

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Additional file 2: Table S1. Information about part of the whole genome re-sequence data in this study.

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Additional file 3: Table S2. Information about part of the RNA-seq data in this study.

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Additional file 4: Table S3. The evaluation of WGBS data.

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Additional file 5: Fig. S2. The filtration of differentially methylated genes and the statistics of DMRs in different gene regulatory elements, Filtering criteria: −log10> 20.

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Additional file 6: Table S4. The list of DEGs between ALC and MF wool lambs.

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Additional file 7: Fig. S3. Analysis of differentially expressed genes at different developmental stages of skin tissue between coarse and fine wool breeds using transcriptome public data. A The raw expression count was normalized using TPM method. B The heatmap of highly expressed DEGs in sheep skin of different breeds and different periods.

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Additional file 8: Fig. S4. SOSTDC1 protein was detected in skin tissues of ALC and MF lambs by immunofluorescence. Nuclei were stained with DAPI.

Data Availability Statement

The WGS, WGBS-seq and RNA-seq data reported in this study had been deposited in National Center for Biotechnology Information with the accession numbers PRJNA760647, PRJNA760832 and PRJNA760789.


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