Skip to main content

Comparative whole-genome resequencing to uncover selection signatures linked to litter size in Hu Sheep and five other breeds


Hu sheep (HS), a breed of sheep carrying the FecB mutation gene, is known for its “year-round estrus and multiple births” and is an ideal model for studying the high fecundity mechanisms of livestock. Through analyzing and comparing the genomic selection features of Hu sheep and other sheep breeds, we identified a series of candidate genes that may play a role in Hu sheep’s high fecundity mechanisms. In this study, we conducted whole-genome resequencing on six breeds and screened key mutations significantly correlated with high reproductive traits in sheep. Notably, the CC2D1B gene was selected by the fixation index (FST) and the cross-population composite likelihood ratio (XP-CLR) methods in HS and other five breeds. It was worth noting that the CC2D1B gene in HS was different from that in other sheep breeds, and seven missense mutations have been identified. Furthermore, the linkage disequilibrium (LD) analysis revealed a strong linkage disequilibrium in this specific gene region. Subsequently, by performing different grouping based on FecB genotypes in Hu sheep, genome-wide selective signal analysis screened several genes related to reproduction, such as BMPR1B and PPM1K. Besides, FST analysis identified functional genes related to reproductive traits, including RHEB, HSPA2, PPP1CC, HVCN1, and CCDC63. Additionally, a missense mutation was found in the CCDC63 gene and the haplotype was different between the high reproduction (HR) group and low reproduction (LR) group in HS. In summary, we discovered genetic differentiation among six distinct breeding sheep breeds at the whole genome level. Additionally, we identified a set of genes which were associated with reproductive performance in Hu sheep and visualized how these genes differed in different breeds. These findings laid a theoretical foundation for understanding genetic mechanisms behind high prolific traits in sheep.

Peer Review reports


Sheep (Ovis aries) have been a foundational source of meat, wool, and milk for humans, representing one of the most economically significant livestock for thousands of years [1]. The reproductive trait holds significant economic value for sheep production, regulated by heredity [2], hormone [3], environment [4], and managing factors. Previous studies have demonstrated the pivotal role of genetic factors in determining the reproductive performances of sheep. Elucidating the genetic mechanisms underlying high prolificacy is crucial for improving sheep production through the utilization of prolific resources. The litter size in sheep was influenced by a combination of major genes and polygenes. Currently, multiple major genes affecting prolificacy have been reported in sheep [5]. Previous studies have demonstrated a positive correlation between litter size and the genotypes of FecB [6]. The distribution of FecB genotypes was various among breeds and strains [7, 8]. In the high-fertility Hu sheep, some ewes harboring the FecB homozygous mutation (c.746 A > G) that delivered a single lamb, indicating additional genetic factors resulted in a reduction in litter sizes. Screening for fertility genes is helpful for marker-assisted breeding to increase the performance of reproduction in sheep. Uncovering the genetic mechanism of sheep prolificacy is conducive to enhancing the reproduction of Chinese sheep breeds.

The genetic mechanisms of morphological and agronomic traits in sheep have been gradually revealed and continue to be studied with the completion of the sheep reference genome [9]. Studies have focused on various aspects, including the domestication and chromosome evolution in wild sheep [10]. Additionally, researchers have delved into important traits, such as reproduction, coat color [11], horn phenotype [12], tail fat deposition [13], and body size [14]. Whole-genome resequencing could identify the selective traits behind phenotypic differences and reveal the genetic basis of complex traits [13]. Identifying the genetic variations responding to different phenotypes could clarify the genetic mechanisms underlying high productivity in varieties. The acquisition of genome-wide genetic mutations provided a solid foundation for establishing genomic selective breeding [15]. The primary work is to further explore reproduction-related genes and functional loci to supply favorable conditions for exploring the genetic underpinnings of high fecundity and new variety breeding. While the main relevant major genes affecting the reproductive traits have been identified, such as BMP15 [16, 17], GDF9 [17, 18], B4GALNT2 [5], and KISS1R [19], their genetic roles in most sheep breeds remained unclear. In addition, the candidate genes affecting litter size varied among breeds and resulted from the combined effects of multiple candidate genes. Thus, further investigation is necessary to uncover the key genes regulating reproductive traits in sheep [20,21,22]. Hu sheep, a prolific native breed in China, serve as valuable animal models for understanding the genetic underpinnings of prolific sheep breeds [23]. Furthermore, analyzing the genome data in Hu sheep could provide new insight into differences in reproduction performance, potentially enabling the replication of the multiple birth characteristics of Hu sheep in other sheep breeds [24].

Lacking evidence to clarify the regulatory mechanisms and candidate genes related to reproductive traits, we performed the whole-genome resequencing of Hu sheep and Liangshan Black sheep (LB), and jointly analyzed with the genome-wide data of Bamei Mutton sheep (BM), White Xizang sheep (WX), Oula sheep (OL), and Poll Dorset sheep (PD) aimed to explore the molecular basis of the high fertility trait, as well as conducting a comparative analysis of genome-wide DNA SNPs among individuals with different FecB genotypes. We identified genomic regions and key mutations significantly associated with high fertility traits in Hu sheep and validated in various breeds with different fertility levels. In addition, our findings contribute to the exploration of high-quality genes related to high fertility in Hu sheep and provide insight into the molecular regulatory mechanisms underlying reproduction among different sheep breeds.

Materials and methods

Sampling collection and DNA extraction

274 ewes of Hu sheep were collected from the sheep farm of the Yuexi Oriental Agricultural Development Co., LTD (Liangshan, Sichuan, China). 53 female Liangshan Black sheep were randomly selected from the Butuo County Black Sheep Breeding Farm (Liangshan, Sichuan, China). Whole blood was collected from the jugular vein and kept in EDTA vacutainer tubes. The genomic DNA of blood sample was extracted using a Genomic DNA Kit (TansGen Biotech, Beijing, China). The integrity and concentration of DNA samples were assessed using 1% agarose gel electrophoresis and a NanoDrop 2000 spectrophotometer (Thermo Fisher Scientific, Waltham, MA, USA). Extracted DNA samples were stored at -20 °C prior to further analysis.

Genotyping of the c.746 A > G locus of FecB gene

A fragment of 328 bp harbored the c.746 A > G locus was amplified by the primer pair (Forward 5′-CAGATGGTGAAACAGATTG-3′, Reverse 5′-CAAGTCCACCATCCATTC-3′), which was designed by Primer Premier 5.0 software and synthesized by Sangon Biotech Co., Ltd (Shanghai, China). Polymerase chain reaction (PCR) was conducted on a BIO-RAD C1000Touch Thermal Cycler (CA, USA) under the following conditions: 95 °C for 3 min and 34 cycles of 30 s at 95 °C, 30 s at 55 °C, 23 s at 72 °C, and a final step of 5 min at 72 °C, then stored at 4 °C. The PCR products were purified and sequenced by an ABI 3730 Sequencer (Thermo Fisher Scientific, Waltham, MA, USA) to determine the FecB genotype (c.746 A > G) in all HS and LB individuals. In addition, the genotype of the c.746 A > G locus in the other joined analyzed breeds (BM, WX, OL, and PD) were determined by the whole genome resequencing data.

Whole genome resequencing and data processing

29 HS and 19 LB were randomly selected for whole genome resequencing. The paired-end sequencing libraries with an insert size of  350 bp fragments for each individual were constructed to 10× raw coverage using the BGISEQ DNBSEQ-T7 platform (BGI lnc., Shenzhen, China) according to the manufacturer’s protocol at Novogene Bioinformatics Technology Co., Ltd (Beijing, China). In addition, resequencing data of BM, WX, OL, and PD were obtained from the previous studies [25, 26].

All fastq files were processed through the use of fastp (v0.19.5) to obtain clean reads. The following filter criteria were employed to eliminate adapters and low-quality bases: reads with more than 10% unknown nucleotides (N), reads with over 50% low-quality bases (Q-value < 5), and reads with more than 10 nucleotides aligned to the adaptor sequence with a maximum of two mismatches. The resulting clean reads were then mapped to the sheep Oar_v4.0 reference genome utilizing Burrows-Wheeler Aligner v0.7.17 (BWA) algorithm with default parameters [27]. Mapping files were converted to BAM files and sorted using SAMtools (v1.9). Single nucleotide polymorphism (SNP) calling was performed using the Bayesian method in the GATK package (v4.1.3.0–0) with the subsequent filtering criteria: QD < 10.0, ReadPos RankSum < -8.0, FS > 10, QUAL < 30, and DP < 4. VCFtools (v0.1.14) was utilized to generate a raw VCF file, which was then filtered to create a high-quality VCF file with retained SNPs for further analysis. The filtering criteria for the high-quality VCF file were as follows: (1) %QUAL < 100 and (2) INFO/DP < 5. To annotate the SNPs and indels, ANNOVAR was employed, utilizing gene models from GFF annotation [28].

Genetic diversity and runs of homozygosity (ROH)

Nucleotide diversity (π) for each breed was investigated using VCFtools v.0.1.16 with a 40 kb non-overlapping window across all autosomes [29]. PLINK (--hardy) was used to estimate observed heterozygosity (Ho) and expected heterozygosity (He). He and Ho estimates for individuals in each breed were averaged across all SNPs. Long homozygous fragments were scanned by using PLINK according to the following parameters: --homozyg-window-snp 50 --homozyg-snp 50 --homozyg-kb 300 --homozyg-density 50 --homozyg-gap 1000 --homozyg-window-missing 5 --homozyg-window-threshold 0.05 --homozyg-window-het 1 [30]. The genomic inbreeding coefficient based on ROH (FROH) is the ratio of the total length of ROH fragments in the genome to the total length of the permanent genome, and each ROH is classified according to its physical length as follows: 0–1, 1–4, and ≥ 4 Mb.

Population structure analysis

Population genomics analyses was used to explore the genetic relationship of individuals from HS, LB, BM, WX, OL, and PD, SNPs that did not meet one of the following criteria (--maf 0.05 --max-missing 0.9) were filtered by PLINK v1.9 [31]. Additionally, the linkage disequilibrium (LD) of each sheep population was removed with the criteria: --indep-pairwise 50 10 0.1. Principal components analysis (PCA) was applied to visualize patterns in relationships between six sheep breeds. Furthermore, population structure was examined using ADMIXTURE v.1.23 to estimate the cross-error for genetic clustering with the ancestral clusters (K) ranging from 2 to 5 and each K was run the analysis for 100 times [32]. The SNPs were used to calculate distance matrix by the software VCF2Dis to construct the phylogenetic tree. The topological structure was displayed by the Interactive Tree of Life (ITOL) tool ( [33]. The linkage disequilibrium (LD) r2 with physical distance between SNPs for each breed was calculated using PopLDdecay with default parameters [34].

Selective signatures related to litter size

We identified genome-wide selective sweeps during all breeds based on FST analysis using VCFtools. The FST values were calculated using a sliding window approach, with 80 kb windows and 40 kb sliding steps according to the previous study [35]. Windows with FST values which were > 0.25 were defined as the putatively selected genomic regions. For the fecundity analysis of Hu sheep, we combined the LB, OL, WX, BM, and PD into a group (others) and compared them with HS using two different statistics, including FST and XP-CLR with size 80 kb windows and 40 kb step. Overlapping regions that FST > 0.25 [36] and XP-CLR score > 2.5 were identified to be candidate regions. The selective sweeps of Hu sheep breeds were also detected by comparison with different litter size. The haplotype blocks based on vcf file were analyzed by LDBlockShow [37]. Moreover, the KOBAS 3.0 ( was utilized to conduct the Kyoto Encyclopaedia of Genes and Genomes (KEGG) analysis.


Whole genome resequencing, SNP calling, and genetic diversity

We conducted whole-genome resequencing on a total of 86 sheep samples (Table S1). The sequencing data had an average coverage depth of  10.31× for HS and LB,  5.76× for the previously characterized 39 individual genomes. After aligning the clean reads to the reference genome, we identified a total of 39,467,233 putative SNPs and 8,677,193 indels in the six breeds, 50.1% of which were located within introns and 41.1% within intergenic regions. A total of 26,664,234 SNPs were retained after quality filtering.

To gain insights into the genetic diversity of the six sheep breeds, He, Ho, and the numbers of ROH were estimated based on genotype frequencies (Table 1). The highest He value was observed in HS, indicating a greater level of genetic diversity within the population, while the lowest values were found in WX. The Ho within the population ranged from 0.1828 to 0.2395, respectively, with the lowest values in BM and the highest in LB. Apart from that, ROH analysis revealed that HS and LB had 14 and 38 long ROH segments, respectively. Meanwhile, shorter ROH segments exited in OL, WX, BM, and PD. In addition, the LD decay pattern and ROH distribution of each group were roughly consistent with the results of nucleotide diversity. (Fig. S1). The distribution of SNPs in each chromosome was visualized in Fig. S2, presenting a non-uniform distribution with wide coverage.

Table 1 Genetic diversity parameters and the runs of homozygosity (ROH) of the six sheep breeds

Population-level analyses of genetic structure and LD decay

Principal component analysis showed that all sheep clustered into four distinct genetic groups that were completely separate from each other, while WX and OL that belonged to Tibetan sheep were clustered together (Fig. 1A). BM and PD were inextricably interwoven as a branch. Population structure analysis, aiming to estimate the proportion of common ancestry among the six breeds, yielded five genetic clusters at the optimal number K = 5 (Fig. 1B). We observed that WX and OL were in the same genetic clusters, BM and PD population tended towards completely distinct layers while K = 4 and K = 5, these results were consistent with PCA. To further verify the relationships among breeds, NJ tree results showed that all individuals of the same species formed their own clusters (Fig. 1D). Obviously, HS were separated in a single cluster distinctively, meanwhile, OL and WX were in a branch which formed a main branch with LB. On the other hand, BM and PD were in the same branch, which were in agreement about the result of PCA. LD decay analysis suggested that HS showed minimum LD values at larger physical distances, followed by LB and WX (Fig. S1). The LD decay in OL, PD, and BM had the maximum values. In addition, we observed a relatively low level of nucleotide diversity in BM (0.002448429), the average value of nucleotide diversity in HS (0.002958546) was higher than that in other groups (Fig. 1C).

Fig. 1
figure 1

Population genetic analysis of 6 breeds. (A) Principal component analysis of 86 individuals. (B) Population genetic structure of sheep. (C) Genome-wide distribution of nucleotide diversity of each breed. The points which were on the outside the of whiskers showed outliers. (D) Neighbor-joining (NJ) trees of sheep based on whole-genome SNPs

Selection signals and candidate genes related to prolificacy

Figure 2A presented the positive genome selections for FST in six breeds. Thresholds set at FST > 0.25 uncovered substantial sites with 71 putative selective sweeps accounting for 211 genes exhibiting positive selection within six breeds, as detailed in Table S2. Furthermore, KEGG Pathway analysis identified the specific pathways in which selected genes were involved (Table S3). We detected candidate genes related to reproduction (e.g., TSHR, THRA, CDC25A, RARA), what’s more, MED24 and THRA played a role in thyroid hormone signaling pathway which was closely related to reproduction. RARA was involved in the estrogen signaling pathway. CDC25A was found to be enriched in progesterone-mediated oocyte maturation. RIPK1 and TNFAIP3 were found associated with NF-kappa B signaling pathway. Genes associated with disease and immunity, including GMDS, TNFAIP3, LRRK2, and DDB1, were identified in several candidate genomic regions under selection. Selective sweep analysis also captured candidate genes associated with adaptation to the plateau, of these, IL6R was involved in HIF-1 signaling pathway. Meanwhile, positive selection was detected in HoxA and HoxC gene cluster. In addition, we also identified the candidate genes related to other traits, such as the high-altitude hypoxic adaptation (HBB) and regulation of horn growth and development (RXFP2).

Fig. 2
figure 2

Manhattan plot of selective sweeps by FST and XP-CLR methods in Hu sheep vs. others. (A) Genome-wide distribution of FST, which is measured by the average value for each SNP across 5 breeds. (B) XP-CLR scores from sheep to two groups: HS, other sheep breeds (LB, WX, OL, BM, PD). (C) Fixation index (FST) values from sheep to two groups: HS, other sheep breeds (LB, WX, OL, BM, PD). (D) Plot of FST windows of chr1 region (10–50 Mb) based on HS and others. (E) Structures of CC2D1B gene. (F) Seven missense mutations of CC2D1B gene. (G) Haplotype differentiation patterns of CC2D1B gene. (H) Linkage disequilibrium analysis of SNPs in CC2D1B region

Shared selected and candidate genes in Hu sheep

For screening out the associated genetic variation, we estimated the FST values and XP-CLR scores to investigate specific genomic regions associated with HS, in comparison to a collective group of five other breeds: LB, WX, OL, PD, and BM. The windows selected as potentially positively selected regions were those simultaneously with both FST values > 0.25 and XP-CLR scores > 2.5. A total of 17 regions, encompassing 39 genes, were found to have undergone positive selection in the populations (Fig. 2B, C, Table S4). Genes associated with reproduction (CCDC103, CC2D1B, C1QL1), cell growth (LIN52, CRADD), growth and development (VRTN, C1QL1), immune function (KLRF1, MAP3K6), and other traits were identified. PAPSS2 was found to be enriched in pathways associated with metabolism, including sulfur metabolism, selenocompound metabolism, and purine metabolism. What’s more, LIN52 was involved in cellular senescence (Table S5).

CC2D1B was observed to have a high FST value and XP-CLR scores on chromosome 1 (Fig. 2D), we performed genotype imputation and visualized the data for CC2D1B, revealing variations in this gene among different sheep breeds. Meanwhile, the genetic composition of BM and PD was similar, while the genetic composition of HS was distinct from the other five breeds. Additionally, we identified seven missense mutations in CC2D1B and found that the allele frequency of each locus differed among breeds (Fig. 2E, F). Among them, the frequency of c.1349 A > G in HS reached 100%, while up to 86.84% and 88.89% in LB and OL, respectively. Visualizing the CC2D1B genotype revealed variations among different breeds (Fig. 2G), and haplotype analysis indicated a significant imbalance in linkage within this region (Fig. 2H).

Selection prints in Hu sheep harbored different FecB genotypes

To compare the distribution of FecB among different breeds, we examined the FecB genotypes of 366 sheep (Table S6). The results showed that there were three genotypes BB (79.9%), B+ (18.6%) and ++ (1.5%) in HS, and only two genotypes B+ (20%) and ++ (80%) were found in WX, and only + + genotype was detected in LB, OL, BM, and PD.

FST values were calculated based on different FecB genotypes ((BB and B+) vs. ++) to explore critical molecular signals related to the high prolificacy of Hu sheep (Fig. 3A, B). We selected the windows with FST > 0.25 across the genome and identified three unique autosomal regions with the strongest selective signals containing five candidate genes which included UNC5C, U6, ABCG2, BMPR1B, and PPM1K. The BMPR1B (FST = 0.300978) and PPM1K (FST = 0.283851), associated with reproduction traits, were identified on chromosome 6: 33,975,001–34,125,000 bp and 41,100,001–41,250,000 bp, respectively. A significant differentiation was observed in genotype profiles of BMPR1B among the three groups with different FecB genotypes (Fig. 3E). Many strong linkages were detected in BMPR1B (Fig. 3F). Within the BMPR1B gene, there was a missense mutation c.746 A > G was identified, which resulted in the substitution of Gln with Arg (Fig. 3C). This specific mutation showed the highest occurrence rate in HS at 61.11%, followed by 15% in WX (Fig. 3D). Furthermore, this mutation was not observed in LB, OL, BM, and PD (Fig. 3D).

Fig. 3
figure 3

Genome-wide annotations during sheep of reproduction. (A) Manhattan plot of genome-wide selection signatures associated with FecB genotypes in Hu sheep. (B) Plot of FST windows of chr6 region (20–50 Mb) based on different BMPR1B genotypes in Hu sheep. (C) Structures of BMPR1B gene. (D) Allele frequencies of BMPR1B gene c.746 A > G. Locations of the SNPs were determined by the generated VCF file. (E) Haplotype diversity of a local region of BMPR1B (chromosome 6: 33,990,928–34,214,488). (F) Linkage disequilibrium analysis of SNPs in BMPR1B region

Insight into the novel target genes response to high prolificacy in Hu sheep

Previous studies have confirmed that mutations in the FecB gene were completely associated with high reproduction. However, we found some HS ewes carrying the homozygous FecB alleles still produced single-offspring. To further determine the significance of genomic divergence, we analyzed and compared the genomes of single-lamb and multi-lamb groups of HS (Table 2), representing high reproduction and low reproduction groups, to identify potential selection imprints. 118 genes were identified as under positive selection with FST > 0.25 (Fig. 4A). Particularly, PPP1CC, CCDC63, HSPA2, and RHEB which were associated with reproductive traits, indicating functional importance. In addition, genes related to immune diseases (e.g., BID, SMARCD3, ATP6V1E1, NFKB2), energy metabolism (e.g., HAO1, NDUFA7, CERS4, MTHFD1), and other factors were also screened (Fig. 4B, Table S7). In KEGG analysis, it was found that PPP1CC was involved in two reproductive-related biological processes: the oxytocin signaling pathway and oocyte meiosis. HSPA2 and RHEB were identified to participate in the estrogen signaling pathway and thyroid hormone signaling pathway. These pathways played a crucial role in the secretion and regulation of hormones. The KEGG enrichment analysis revealed that candidate genes were significantly enriched in important economic traits, such as reproductive traits, growth and development traits (Fig. 4B, Table S7). Especially, a missense mutation on CCDC63, (c.1564 A > G) was identified in all six breeds (Fig. 4D), what’s more, haplotype diversity and linkage disequilibrium analysis were performed to detect mutations in gene regions (Fig. 4C, D, E). Simultaneously, allelic frequencies of the c.1564 A > G locus in CCDC63 were calculated within the 86 individuals of the six breeds (Fig. 4F). The allele frequency in PD was the highest at 45%, while the allele frequency in WX and OL was the lowest at 28.57% (Fig. 4F). KEGG enrichment analysis detected top 30 enriched signaling pathways relevant to candidate genes. Some known pathways related to immunity were found to be significantly enriched (Fig. S3, Table S8).

Table 2 The classification information of different reproduction of Hu sheep
Fig. 4
figure 4

Selection imprints of different litter sizes. (A) Identification of candidate genes related to litter size of Hu sheep. (B) Plot of FST windows of chr17 region (30–80 Mb) based on HR vs. LR in Hu sheep. (C) Haplotype diversity of a local region of CCDC63 (chromosome 17: 63,652,194–63,687,626) in HR and LR. (D) Linkage disequilibrium analysis of SNPs in CCDC63 gene region of HR group. (E) Linkage disequilibrium analysis of SNPs in CCDC63 gene region of LR group. (F) Structures of CCDC63 gene and allele frequencies of CCDC63 gene


Hu sheep is one of the high reproductive breeds in China, the occurrence of multiple births in Hu sheep is still not clearly understood. Some scholars speculated that it may be influenced by human selection and historical migration patterns [38]. Others suggested that the occurrence of multiple births in Hu sheep was determined by specific genotypes that can be inherited by subsequent generations [39].

The characteristics of population genetic diversity were essential for assessing the genetic potential of breeds as well as for the utilization and protection of sheep breed resources. The ranking of nucleotide diversity (π) within different breeds was: HS > LB > OL > WX > PD > BM. One possible explanation for the high nucleotide diversity in HS could be that Hu sheep, with a larger effective population size, originated from the northern Mongolian sheep. Through years of domestication and breeding in a favorable environment, they acquired genetic information from multiple sources [40]. Beyond that, OL and WX exhibited a close genetic relationship, likely due to their proximity geographically and intentional breeding practices [41]. The WX breed was originally bred by Tibetans specifically in the high-altitude environment of the Tibetan Plateau. Known for its superior wool quality, the breed exhibited relatively lower meat productivity. OL, on the other hand, originated from local Tibetan sheep and wild sheep [42, 43]. Genetic diversity, as an essential foundation of biodiversity, was the result of long-term species survival, evolution, and adaptation. This study found that the domestic sheep breed, HS, LB, OL, and WX, exhibited higher genetic diversity, while BM and PD with foreign genetic backgrounds, demonstrated lower genetic diversity. These findings were consistent with the previous studies [44]. Additionally, the ROH analysis indicated that HS and LB, which exhibit longer ROH segments, have undergone adaptive evolution in response to specific environmental pressures, leading to the selection and fixation of certain alleles that confer an advantage [45]. In contrast, shorter ROH segments in OL, WX, BM, and PD may be related to their population history and lower levels of inbreeding [46]. A lower FROH value suggests a lower degree of inbreeding and potentially a more diverse gene pool [47]. The high FROH and low He in LB may suggest a need for strategies to increase genetic diversity and reduce inbreeding to avoid potential issues such as inbreeding depression [46]. On the other hand, the low FROH and high He in WX may be beneficial for maintaining a stable population with a rich genetic background [45].

The molecular mechanisms underlying the high prolificacy trait in Hu sheep have not been extensively studied, and so far, no other major molecular markers have been identified except for FecB. Genome selection signals have been used to identify genomic regions and genes associated with the reproductive traits of Hu sheep. In our study, a set of genes has been identified through global FST analysis in six breeds (Fig. 2A, Table S2). As previously reported, one of the functions of TSHR was to regulate the development of the thyroid gland and the secretion of thyroid hormone, which in turn plays an important role in the seasonal reproduction of mammals [48, 49]. TSHR could catalyze cAMP synthesis, as a secondary messenger, cAMP was a major contributor to the process of releasing follicle-stimulating hormone and luteinizing hormone. It was noteworthy that RARA participated in signaling pathways associated with reproduction, indicating its potential importance in regulating hormones. RARA was further predicted to be a transcription factor specifically involved in hair follicle morphogenesis at different stages [50]. We found a region with the highest FST value (0.282032) on chromosome 8. TNFAIP3, the gene encoding A20, has been documented to be an anti-inflammatory and immune factor [51] and expressed increased abnormally in many types of tumor cells and tissues, which was closely associated with the progression, therapy and prognosis of cancer [52, 53]. Zammit [54] explored the impact of the Tnfaip3 I325N variant on limiting fecundity by inducing hormonal imbalance, underscoring the role of the anti-inflammatory enzyme TNFAIP3 in affecting fecundity. Naturally, further studies are needed to delve deeper into the specific mechanisms by which these genes influence sheep reproduction and the implications of mutations on fertility.

We also analyzed the potential selection signatures of HS vs. others using FST and XP-CLR methods, overlapping regions that FST > 0.25 and XP-CLR scores > 2.5 were selected as candidate regions. According to the reference genome annotation information, there are 39 genes located in these selected chromosome regions. We identified candidate genes associated with immune response (BCAP29 [55], ATP8B4 [56]), reproductive traits (CC2D1B) [57], teat number (SYNDIG1L) [58], and horn phenotype (RXFP2) [12]. The upregulation of critical genes during the follicular phase reflects the immune system’s role in follicular recruitment, while endocrine changes throughout the estrous cycle regulate immune gene expression, affecting follicular atresia and recruitment [59]. The immune system precisely regulates follicle development and maturation, influenced by the ovarian microenvironment [60]. The co-localization of CC2D1B and DPY19L2 suggested that CC2D1B plays a crucial role in the reformation of the sperm nuclear envelope [57]. Li found patient P38 with pyriform-headed sperm showed a CC2D1B mutation, elucidating the significant role of CC2D1B in sperm-head formation [61]. In the present study, CC2D1B was located in a significant selective region (Fig. 2B, C), and the genotype pattern differed between the HS and other sheep breeds, suggesting that CC2D1B may play an important role in sheep fertility (Fig. 2F). Luongo [62] reported a case where a man exhibited total sperm immotility due to the CCDC103 p.His154Pro mutation, which confirmed that CCDC103 does indeed have an impact on sperm development. The VRTN gene variants exhibited a strong correlation with the number of thoracic vertebrae (TVN) in pigs [63]. The loss-of-function mutations of CC2D1B contributed to morphological abnormalities of the sperm head [61]. SYNDIG1L has been identified as a candidate gene for teat number in pigs [58]. In a study conducted by Lu et al., it was discovered that C1QL1 played a crucial role in the regulation of follicle failure in the ovaries. This regulation occurred through a multidimensional collaborative mechanism involving intraovarian and endocrine control. These findings demonstrated that the loss of C1QL1 led to the failure of ovarian follicles, disrupting their proper development and function [64].

A previous study has revealed a close relationship between the FecB gene and ovulation number in sheep [65]. Based on different FecB genotypes in Hu sheep, the FST analysis has identified BMPR1B, PPM1K, UNC5C, and ABCG2 genes (Fig. 3A, B). It is widely known, BMPR1B plays a crucial role in the multiple births effect in sheep [66]. Studies using a PPM1K-deficient mouse model and downregulated PPM1K in human ovarian granulosa cells have shown that PPM1K deficiency results in impaired metabolism of branched-chain amino acids, contributing to polycystic ovary syndrome in females [67]. ABCG2 was found to be associated with milk production in sheep [68].

Using single-lamb HS as the control group, we investigated the positively selected regions associated with multi-lambs, and then discovered genes related to sperm development. Research has shown that the removal of CCDC63 leads to infertility in male mice, primarily due to the shortening of flagella. Although CCDC63 did not participate in the formation of the outer dynein arms, it played a crucial role in sperm production [69]. Male mice lacking both PP1γ1 and PP1γ2 due to PPP1CC knockout were sterile because of impaired sperm morphogenesis. However, fertility and normal sperm function can be restored by introducing transgenic expression of PP1γ2 alone in the testis of PPP1CC mice [70]. HVCN1 channels were associated with the cryotolerance of mammalian sperm [71] and played a crucial role in modulating sperm motility, kinematics, and facilitating calcium entry into the sperm head in pigs [72].

In conclusion, our study revealed significant genetic differentiations among six distinct sheep breeds at the whole-genome level. Additionally, we identified a set of genes associated with reproductive performance in Hu sheep and visualized the variations in these genes across different sheep breeds. These findings will contribute to the future identification of candidate genes related to reproduction in sheep and identify high-yield gene variants with greater precision which benefits breeding strategies.

Data availability

The datasets generated during the present study are available in the NCBI under BioProject accession number PRJNA1058981.



Single nucleotide polymorphism

Ho :

Observed heterozygosity

He :

Expected heterozygosity

π :

Nucleotide diversity


Runs of homozygosity


Linkage disequilibrium


Kyoto encyclopaedia of genes and genomes

F ST :

Fixation index


Cross-population composite likelihood ratio test


Principal component analysis


  1. Chessa B, Pereira F, Arnaud F, Amorim A, Goyache F, Mainland I, et al. Revealing the history of sheep domestication using retrovirus integrations. Science. 2009;324(5926):532–6.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  2. Tao L, He X, Jiang Y, Liu Y, Ouyang Y, Shen Y, et al. Genome-wide analyses reveal genetic convergence of prolificacy between goats and sheep. Genes. 2021;12(4):480.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  3. Castilho AC, Nogueira MF, Fontes PK, Machado MF, Satrapa RA, Razza EM, et al. Ovarian superstimulation using FSH combined with equine chorionic gonadotropin (eCG) upregulates mRNA-encoding proteins involved with LH receptor intracellular signaling in granulosa cells from Nelore cows. Theriogenology. 2014;82(9):1199–205.

    Article  CAS  PubMed  Google Scholar 

  4. Castillo-Gutierrez D, Hernández-Arteaga LES, Flores-Najera MJ, Cuevas-Reyes V, Vázquez-García JM, Loredo-Osti C, et al. Methionine supplementation during pregnancy of goats improves kids’ birth weight, body mass index, and postnatal growth pattern. Biology. 2022;11(7):1065.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  5. Talebi R, Ahmadi A, Afraz F, Sarry J, Woloszyn F, Fabre S. Detection of single nucleotide polymorphisms at major prolificacy genes in the Mehraban sheep and association with litter size. Annals Anim Sci. 2018;18(3):685–98.

    Article  CAS  Google Scholar 

  6. Guan F, Liu SR, Shi GQ, Yang LG. Polymorphism of FecB gene in nine sheep breeds or strains and its effects on litter size, lamb growth and development. Anim Reprod Sci. 2007;99(1–2):44–52.

    Article  CAS  PubMed  Google Scholar 

  7. Gholizadeh M, Esmaeili-Fard SM. Meta-analysis of genome-wide association studies for litter size in sheep. Theriogenology. 2022;180:103–12.

    Article  CAS  PubMed  Google Scholar 

  8. Chen S, Guo X, He X, Di R, Zhang X, Zhang J, et al. Insight into pituitary lncRNA and mRNA at two estrous stages in small tail Han Sheep with different FecB genotypes. Front Endocrinol. 2021;12:789564.

    Article  Google Scholar 

  9. Jiang Y, Xie M, Chen W, Talbot R, Maddox JF, Faraut T, et al. The sheep genome illuminates biology of the rumen and lipid metabolism. Science. 2014;344(6188):1168–73.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  10. Li X, He SG, Li WR, Luo LY, Yan Z, Mo DX, et al. Genomic analyses of wild argali, domestic sheep, and their hybrids provide insights into chromosome evolution, phenotypic variation, and germplasm innovation. Genome Res. 2022;32(9):1669–84.

    Article  PubMed  PubMed Central  Google Scholar 

  11. Zhang X, Li W, Liu C, Peng X, Lin J, He S, et al. Alteration of sheep coat color pattern by disruption of ASIP gene via CRISPR Cas9. Sci Rep. 2017;7(1):8149.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Pan Z, Li S, Liu Q, Wang Z, Zhou Z, Di R, et al. Whole-genome sequences of 89 Chinese sheep suggest role of RXFP2 in the development of unique horn phenotype as response to semi-feralization. Gigascience. 2018;7(4):giy019.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Lagler DK, Hannemann E, Eck K, Klawatsch J, Seichter D, Russ I, et al. Fine-mapping and identification of candidate causal genes for tail length in the Merinolandschaf breed. Commun Biology. 2022;5(1):918.

    Article  CAS  Google Scholar 

  14. Tao L, Liu YF, Zhang H, Li HZ, Zhao FP, Wang FY, et al. Genome-wide association study and inbreeding depression on body size traits in Qira black sheep (Ovis aries). Anim Genet. 2021;52(4):560–4.

    Article  CAS  PubMed  Google Scholar 

  15. Asadollahpour Nanaei H, Cai Y, Alshawi A, Wen J, Hussain T, Fu WW, et al. Genomic analysis of indigenous goats in Southwest Asia reveals evidence of ancient adaptive introgression related to desert climate. Zoological Res. 2023;44(1):20–9.

    Article  Google Scholar 

  16. Chantepie L, Bodin L, Sarry J, Woloszyn F, Plisson-Petit F, Ruesche J, et al. Genome-wide identification of a regulatory mutation in BMP15 controlling prolificacy in sheep. Front Genet. 2020;11:585.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  17. Ahmadi A, Afraz F, Talebi R, Farahavar A, Vahidi SMF. Investigation of GDF9 and BMP15 polymorphisms in mehraban sheep to find the missenses as impact on protein. Iran J Appl Anim Sci. 2016;6(4):863–72.

    CAS  Google Scholar 

  18. Wang H, Wang X, Li T, An X, Yin D, Chen N, et al. Regulation of GDF9 and CDKN1B expression in tibetan sheep testes during different stages of maturity. Gene Expr Patterns. 2022;43:119218.

    Article  CAS  PubMed  Google Scholar 

  19. Majd SA, Ahmadi A, Talebi R, Koohi PM, Fabre S, Qanbari S. Polymorphism identification in ovine KISS1R / GPR54 gene among pure and crossbreeds of Iranian sheep. Small Ruminant Res. 2019;173:23–9.

    Article  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.

    Article  CAS  PubMed  Google Scholar 

  21. Xu YX, Wang B, Jing J, Ma R, Luo Y, Li X, et al. Whole-body adipose tissue multi-omic analyses in sheep reveal molecular mechanisms underlying local adaptation to extreme environments. Commun Biology. 2023;6(1):159.

    Article  CAS  Google Scholar 

  22. Liu Z, Tan X, Wang J, Jin Q, Meng X, Cai Z, et al. Whole genome sequencing of Luxi Black Head sheep for screening selection signatures associated with important traits. Anim Bioscience. 2022;35(9):1340–50.

    Article  CAS  Google Scholar 

  23. Lv X, Chen W, Wang S, Cao X, Yuan Z, Getachew T, et al. Whole-genome resequencing of Dorper and Hu sheep to reveal selection signatures associated with important traits. Anim Bioscience. 2023;34(7):3016–26.

    CAS  Google Scholar 

  24. Zhu M, Yang Y, Yang H, Zhao Z, Zhang H, Blair HT, et al. Whole-genome resequencing of the native sheep provides insights into the microevolution and identifies genes associated with reproduction traits. BMC Genomics. 2023;24(1):392.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  25. Yao Y, Pan Z, Di R, Liu Q, Hu W, Guo X, et al. Whole genome sequencing reveals the effects of recent artificial selection on litter size of Bamei mutton sheep. Animals. 2021;11(1):157.

    Article  PubMed  PubMed Central  Google Scholar 

  26. Zhang Y, Xue X, Liu Y, Abied A, Ding Y, Zhao S, et al. Genome-wide comparative analyses reveal selection signatures underlying adaptation and production in Tibetan and Poll Dorset sheep. Sci Rep. 2021;11(1):2466.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  27. Li H, Durbin R. Fast and accurate long-read alignment with Burrows-Wheeler transform. Bioinformatics. 2010;26(5):589–95.

    Article  PubMed  PubMed Central  Google Scholar 

  28. Wang K, Li M, Hakonarson H. ANNOVAR: functional annotation of genetic variants from high-throughput sequencing data. Nucleic Acids Res. 2010;38(16):e164.

    Article  PubMed  PubMed Central  Google Scholar 

  29. Danecek P, Auton A, Abecasis G, Albers CA, Banks E, DePristo MA, et al. The variant call format and VCFtools. Bioinformatics. 2011;27(15):2156–8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  30. McQuillan R, Leutenegger AL, Abdel-Rahman R, Franklin CS, Pericic M, Barac-Lauc L, et al. Runs of homozygosity in European populations. Am J Hum Genet. 2008;83(3):359–72.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  31. Purcell S, Neale B, Todd-Brown K, Thomas L, Ferreira MA, Bender D, et al. PLINK: a tool set for whole-genome association and population-based linkage analyses. Am J Hum Genet. 2007;81(3):559–75.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  32. Alexander JN, Kenneth L. Fast model-based estimation of ancestry in unrelated individuals. Genome Res. 2009;19(9):1655–64.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  33. Letunic I, Bork P. Interactive tree of life (iTOL) v5: an online tool for phylogenetic tree display and annotation. Nucleic Acids Res. 2021;49(W1):W293–6.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  34. Zhang C, Dong SS, Xu JY, He WM, Yang TL. PopLDdecay: a fast and effective tool for linkage disequilibrium decay analysis based on variant call format files. Bioinformatics. 2019;35(10):1786–8.

    Article  CAS  PubMed  Google Scholar 

  35. Wang W, Zhang X, Zhou X, Zhang Y, La Y, Zhang Y, et al. Deep Genome Resequencing reveals Artificial and Natural selection for visual deterioration, Plateau adaptability and high prolificacy in Chinese Domestic Sheep. Front Genet. 2019;10:300.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  36. Hanning W, Liang Z, Yanbing D, Lingbo M, Cheng J, Hui L, et al. Whole-genome resequencing reveals domestication and signatures of selection in Ujimqin, Sunit, and Wu Ranke Mongolian sheep breeds. Anim Bioscience. 2022;35(9):1303–13.

    Article  Google Scholar 

  37. Dong SS, He WM, Ji JJ, Zhang C, Guo Y, Yang TL. LDBlockShow: a fast and convenient tool for visualizing linkage disequilibrium and haplotype blocks based on variant call format files. Brief Bioinform. 2021;22(4):bbaa227.

    Article  PubMed  Google Scholar 

  38. Zhao YX, Yang J, Lv FH, Hu XJ, Xie XL, Zhang M, et al. Genomic reconstruction of the history of native sheep reveals the peopling patterns of nomads and the expansion of early pastoralism in East Asia. Mol Biol Evol. 2017;34(9):2380–95.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  39. Chong Y, Liu G, Jiang X. Effect of BMPRIB gene on litter size of sheep in China: a meta-analysis. Anim Reprod Sci. 2019;210:106175.

    Article  CAS  PubMed  Google Scholar 

  40. Lv FH, Peng WF, Yang J, Zhao YX. Mitogenomic meta-analysis identifies two phases of migration in the history of Eastern eurasian sheep. Mol Biol Evol. 2015;32(10):2515–33.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  41. Wei C, Wang H, Liu G, Zhao F, Kijas JW, Ma Y, et al. Genome-wide analysis reveals adaptation to high altitudes in tibetan sheep. Sci Rep. 2016;6:26770.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  42. Tian D, Han B, Li X, Liu D, Zhou B, Zhao C, et al. Genetic diversity and selection of tibetan sheep breeds revealed by whole-genome resequencing. Anim Bioscience. 2023;36(7):991–1002.

    Article  CAS  Google Scholar 

  43. Hu XJ, Yang J, Xie XL, Lv FH, Cao YH, Li WR, et al. The genome landscape of tibetan sheep reveals adaptive introgression from argali and the history of early human settlements on the Qinghai-Tibetan plateau. Mol Biol Evol. 2019;36(2):283–303.

    Article  CAS  PubMed  Google Scholar 

  44. Xia Q, Wang X, Pan Z, Zhang R, Wei C, Chu M, et al. Genetic diversity and phylogenetic relationship of nine sheep populations based on microsatellite markers. Archives Anim Breed. 2021;64(1):7–16.

    Article  Google Scholar 

  45. Talebi R, Szmatoła T, Mészáros G, Qanbari S. Runs of homozygosity in modern chicken revealed by sequence data. G3 Genes Genomes Genet. 2020;10(12):4615–23.

    Article  CAS  Google Scholar 

  46. Gorssen W, Meyermans R, Janssens S, Buys N. A publicly available repository of ROH islands reveals signatures of selection in different livestock and pet species. Genet Selection Evol. 2021;53(1):2.

    Article  CAS  Google Scholar 

  47. Stoffel MA, Johnston SE, Pilkington JG, Pemberton JM. Genetic architecture and lifetime dynamics of inbreeding depression in a wild mammal. Nat Commun. 2021;12(1):2972.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  48. Chen J, Bi H, Mats EP, Daiki XS, Angela PFP, Mo C, et al. Functional differences between TSHR alleles associate with variation in spawning season in Atlantic herring. Commun Biology. 2021;4(1):795–795.

    Article  CAS  Google Scholar 

  49. Li M, Zhou Q, Pan Y, Lan X, Zhang Q, Pan C, et al. Screen of small fragment mutations within the sheep thyroid stimulating hormone receptor gene associated with litter size. Animal Biotechnol. 2023;34(3):658–63.

    Article  CAS  Google Scholar 

  50. 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.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  51. Priem D, van Loo G, Bertrand MJM. A20 and cell death-driven inflammation. Trends Immunol. 2020;41(5):421–35.

    Article  CAS  PubMed  Google Scholar 

  52. Gao M, Li X, Yang M, Feng W, Lin Y, He T. TNFAIP3 mediates FGFR1 activation-induced breast cancer angiogenesis by promoting VEGFA expression and secretion. Clin Transl Oncol. 2022;24(12):2453–65.

    Article  CAS  PubMed  Google Scholar 

  53. Li RS, Zhang Y, Wu B, He M, Shan Z, et al. Clinical and basic evaluation of the effects of upregulated TNFAIP3 expression on colorectal cance. Dis Markers. 2022;2022:1263530.

    Article  PubMed  PubMed Central  Google Scholar 

  54. Zammit NW, McDowell J, Warren J, Muskovic W, Gamble J, Shi YC, et al. TNFAIP3 reduction-of-function drives female infertility and CNS inflammation. Front Immunol. 2022;13:811525.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  55. Seonggyun H, Emily D, T ME, Andrey S, Elliott F, Danli C, et al. Whole-genome sequencing analysis of suicide deaths integrating brain-regulatory eQTLs data to identify risk loci and genes. Mol Psychiatry. 2023;28(9):3909–19.

    Article  Google Scholar 

  56. Elena L, Lara B, Shervin BPA, P A, Norberto SC. Analysis of ATP8B4 F436L missense variant in a large systemic sclerosis cohort. Arthritis Rheumatol. 2017;69(6):1337–8.

    Article  Google Scholar 

  57. Ventimiglia LN, Cuesta-Geijo MA, Martinelli N, Caballe A, Macheboeuf P, Miguet N, et al. CC2D1B coordinates ESCRT-III activity during the mitotic reformation of the nuclear envelope. Dev Cell. 2018;47(5):547–e563546.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  58. Verardo LL, Silva FF, Lopes MS, Madsen O, Bastiaansen JW, Knol EF, et al. Revealing new candidate genes for reproductive traits in pigs: combining bayesian GWAS and functional pathways. Genet Selection Evol. 2016;48:9.

    Article  Google Scholar 

  59. Talebi R, Ahmadi A, Afraz F. Analysis of protein-protein interaction network based on transcriptome profiling of ovine granulosa cells identifies candidate genes in cyclic recruitment of ovarian follicles. J Anim Sci Technol. 2018;60:11.

    Article  PubMed  PubMed Central  Google Scholar 

  60. Talebi R, Ahmadi A, Afraz F, Sarry J, Plisson-Petit F, Genêt C, et al. Transcriptome analysis of ovine granulosa cells reveals differences between small antral follicles collected during the follicular and luteal phases. Theriogenology. 2018;108:103–17.

    Article  CAS  PubMed  Google Scholar 

  61. Li Y, Wang Y, Wen Y, Zhang T, Wang X, Jiang C, et al. Whole-exome sequencing of a cohort of infertile men reveals novel causative genes in teratozoospermia that are chiefly related to sperm head defects. Hum Reprod. 2021;37(1):152–77.

    Article  CAS  PubMed  Google Scholar 

  62. Luongo FP, Luddi A, Ponchia R, Ferrante R, Di Rado S, Paccagnini E, et al. Case report: the CCDC103 variant causes ultrastructural sperm axonemal defects and total sperm immotility in a professional athlete without primary ciliary diskinesia. Front Genet. 2023;14:1062326.

    Article  PubMed  PubMed Central  Google Scholar 

  63. Duan Y, Zhang H, Zhang Z, Gao J, Yang J, Wu Z, et al. VRTN is required for the development of thoracic vertebrae in mammals. Int J Biol Sci. 2018;14(6):667–81.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  64. Lu X, Ding F, Chen Y, Ke S, Yuan S, Qiu H, et al. Deficiency of C1QL1 reduced murine ovarian follicle reserve through intraovarian and endocrine control. Endocrinology. 2022;163(6):bqac048.

    Article  PubMed  Google Scholar 

  65. Davis GH, Balakrishnan L, Ross IK, Wilson T, Galloway SM, Lumsden BM, et al. Investigation of the Booroola (FecB) and inverdale (FecX(I)) mutations in 21 prolific breeds and strains of sheep sampled in 13 countries. Anim Reprod Sci. 2006;92(1–2):87–96.

    Article  CAS  PubMed  Google Scholar 

  66. Akhatayeva Z, Bi Y, He Y, Khan R, Li J, Li H, et al. Survey of the relationship between polymorphisms within the BMPR1B gene and sheep reproductive traits. Animal Biotechnol. 2023;34(3):718–27.

    Article  CAS  Google Scholar 

  67. Mu L, Ye Z, Hu J, Zhang Y, Chen K, Sun H, et al. PPM1K-regulated impaired catabolism of branched-chain amino acids orchestrates polycystic ovary syndrome. EBioMedicine. 2023;89:104492.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  68. Signe H, Burren H, Ammann A, Drögemüller P, Flury C. Runs of homozygosity and signatures of selection: a comparison among eight local Swiss sheep breeds. Anim Genet. 2019;50(5):512–25.

    Article  Google Scholar 

  69. Young SA, Miyata H, Satouh Y, Kato H, Nozawa K, Isotani A, et al. CRISPR/Cas9-mediated rapid generation of multiple mouse lines identified CCDC63 as essential for spermiogenesis. Int J Biol Sci. 2015;16(10):24732–50.

    CAS  Google Scholar 

  70. Dudiki T, Joudeh N, Sinha N, Goswami S, Eisa A, Kline D, et al. The protein phosphatase isoform PP1γ1 substitutes for PP1γ2 to support spermatogenesis but not normal sperm function and fertility†. Biol Reprod. 2019;100(3):721–36.

    Article  PubMed  Google Scholar 

  71. Tyler D, Susannah V. Development to blastocyst is impaired when intracytoplasmic sperm injection is performed with abnormal sperm from infertile mice harboring a mutation in the protein phosphatase 1cgamma gene. Biol Reprod. 2003;68(4):1470–6.

    Article  Google Scholar 

  72. Yeste M, Llavanera M, Mateo-Otero Y, Catalán J, Bonet S, Pinart E. HVCN1 channels are relevant for the maintenance of sperm motility during in vitro capacitation of pig spermatozoa. Int J Biol Sci. 2020;21(9):3255.

    CAS  Google Scholar 

Download references


We thank Tao Lin (Guang’an Feed Industry Management Station) for her support in data analysis.


This research was supported by the Open Fund of Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province (cndky-2023-02), the Sichuan Natural Science Foundation of China (2023NSFSC1144), and the Key Research and Development of Liangshan (21KJCX0011).

Author information

Authors and Affiliations



TZ designed this study. TZ, DH, and QZ collected samples. TZ, DH, LL, and SZ analyzed the data. HZ, WZ, SY, LW, and LN participated in methodology. TZ and DH wrote the manuscript. All authors have read and approved the final manuscript.

Corresponding author

Correspondence to Tao Zhong.

Ethics declarations

Ethics approval and consent to participate

All sampling procedures were approved by the Institutional Animal Care and Use Committee at the College of Animal Science and Technology, Sichuan Agricultural University (Chengdu, China, Dky-2021302158). Informed consent was obtained from the owner of the Yuexi Oriental Agricultural Development Co., LTD, before the sampling of the Hu sheep in this study.

Consent for publication

Not applicable.

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.

Electronic supplementary material

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 The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zhong, T., Hou, D., Zhao, Q. et al. Comparative whole-genome resequencing to uncover selection signatures linked to litter size in Hu Sheep and five other breeds. BMC Genomics 25, 480 (2024).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: