Next Article in Journal
Towards Practical Conservation Cloning: Understanding the Dichotomy Between the Histories of Commercial and Conservation Cloning
Next Article in Special Issue
Revealing the Hidden Social Structure of Pigs with AI-Assisted Automated Monitoring Data and Social Network Analysis
Previous Article in Journal
Assessment of Fish Biomass and Distribution in a Nuclear Power Plant’s Water Intake Zone Using Acoustic and Trawl Methods
Previous Article in Special Issue
Genome-Wide Association Analysis of Boar Semen Traits Based on Computer-Assisted Semen Analysis and Flow Cytometry
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Runs of Homozygosity Preliminary Investigation in Pig Breeds

1
State Key Laboratory of Swine and Poultry Breeding Industry, National Engineering Research Center for Breeding Swine Industry, Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou 510642, China
2
State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, China
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Animals 2025, 15(7), 988; https://doi.org/10.3390/ani15070988
Submission received: 11 February 2025 / Revised: 26 March 2025 / Accepted: 27 March 2025 / Published: 29 March 2025
(This article belongs to the Special Issue Genetic Improvement in Pigs)

Simple Summary

This study investigated genetic diversity in domestic and wild pig populations across Asia and Europe by analyzing patterns of genomic regions with identical DNA segments inherited from both parents. These regions, often linked to inbreeding and selective breeding, were more frequent and longer in European pigs, reflecting intensive modern breeding practices. Asian pigs showed shorter segments, suggesting ancient inbreeding. Crossbreeding reduced these regions, improving genetic diversity in hybrid pigs. Key genomic areas under strong selection were associated with traits like disease resistance, growth, and reproduction. For example, a gene linked to growth rates in European pigs showed distinct genetic patterns compared to Asian pigs. These findings help farmers and breeders improve pig health and productivity by balancing genetic diversity with selective breeding, supporting sustainable livestock practices and food security. This work highlights the importance of genetic monitoring to maintain resilient pig populations while meeting global demands for animal protein.

Abstract

Runs of homozygosity (ROH) are contiguous homozygous genomic segments that provide valuable insights into population history, selection pressures, and inbreeding levels. However, the global distribution of ROH and their implications for pig domestication and breeding are not yet fully understood. In this study, we analyzed whole-genome resequencing data from 1203 pigs across 49 breeds to characterize ROH patterns worldwide. European commercial pigs exhibited longer and more numerous ROH segments than Asian indigenous breeds, indicative of stronger artificial selection and higher inbreeding. Crossbreeding led to a reduction in ROH burden, with greater reductions observed when parental genetic divergence was larger. Notably, Asian and European pigs displayed distinct ROH islands, reflecting divergent selection pressures. Functional analysis revealed that these ROH islands were associated with growth, immunity, and reproduction. These findings enhance our understanding of the genetic diversity and selection history of global pig populations, providing valuable insights for future breeding strategies.

1. Introduction

In diploid organisms, runs of homozygosity (ROH) serve as key markers of population genetics, shaped by natural selection, artificial selection, population structure, and inbreeding. Since Broman and Weber (1999) first described long homozygous segments in the human genome [1], ROH analyses have expanded to livestock species, including cattle [2,3], pigs [4,5], horses [6], sheep [7], and goats [8], offering insights into demographic history, genetic relationships, inbreeding levels, and selection effects.
Pigs have undergone distinct domestication histories in Asia and Europe, resulting in unique genetic architectures. Previous studies have shown that Asian domestic pigs predominantly harbor long ROH segments, reflecting recent bottlenecks. In contrast, European pigs exhibit more numerous but shorter ROH segments, indicative of intensive artificial selection [5]. This continental divergence provides a unique model system to investigate how human-mediated selection pressures differentially sculpt genome architecture during breed formation. In commercial breeds, ROH islands are enriched for genes linked to economically important traits, such as reproduction in Yorkshire pigs [9], immunity and growth in Duroc pigs [10], and fat deposition in Large White pigs [11]. Identification of candidate genes in commercial pig breeding populations will be applied to pig breeding to improve pig economics. Conversely, ROH in indigenous breeds are often associated with environmental adaptability, helping breeders develop more effective conservation programs and breeding materials for resilience [12,13,14].
Despite significant advances, inconsistencies in ROH detection methodologies complicate cross-study comparisons. Differences in ROH length thresholds, allowances for heterozygous genotypes, single-nucleotide polymorphism (SNP) density, and sequencing depth can affect results [15]. Commonly used detection tools, including Plink [16], Germline [17], and Beagle [18], employ varying algorithms, with Plink being the most widely applied.
In this study, we leveraged whole-genome resequencing data from 1203 pigs to systematically investigate the global distribution of ROH. Using standardized parameters in PLINK, we characterized differences in ROH between Asian and European pig populations and assessed the impact of hybridization. Our findings reveal fundamental differences in ROH patterns, highlight breed-specific selection pressures, and offer insights into genetic diversity and breeding strategies.

2. Materials and Methods

2.1. Population and Genomic Data

Whole-genome resequencing data were obtained from the pig genomics reference panel (PGRP, V1) [19]. Initially, we removed 45 samples from closely related Sus species in the PGRP panel. Subsequently, 374 samples with ambiguous ancestry were excluded, followed by the removal of 144 samples representing breeds with fewer than five individuals. Ultimately, 1203 individuals remained for analysis. SNP data were filtered using Plink (v1.90), removing variants with a minor allele frequency (MAF) < 0.01 or a missing genotype rate > 0.1 [11]. All autosomes were kept, and sex chromosomes were removed. After a serious filtration step, a total of 33,623,520 SNPs were retained to perform association analysis.

2.2. ROH Detection

ROH were identified using Plink (v1.9) with the following criteria: (i) sliding window of 50 SNPs; (ii) minimum overlap of 0.05 between consecutive windows; (iii) minimum of 100 consecutive SNPs per ROH; (iv) SNP density of at least one per 50 kb; (v) minimum ROH length of 500 kb, with a maximum gap of 100 kb between consecutive homozygous SNPs; and (vi) allowance for up to two missing genotypes and one heterozygous genotype per ROH segment.
ROH segments were categorized into three classes based on length: short (0.5–2 Mb), medium (2–5 Mb), and long (>5 Mb). For each population, we first calculated the total number and cumulative length of ROH within each category. Subsequently, these values were normalized by dividing the total counts and lengths by the number of individuals in the population, yielding population-level averages for both ROH counts and segment lengths per individual.

2.3. Genetic Differentiation and Selection Signatures

Pairwise FST values between hybrid and parental populations were computed using the hierfstat package (v0.5-11) in R (V4.4.2). SNP filtering was conducted using Plink (v1.9) “--indep-pairwise 50 5 0.5”, retaining 7,897,020 SNPs. FST values were calculated via hierfstat and visualized with ComplexHeatmap (v2.22.0).
To evaluate the differences in selection pressure between ROH islands and non-island regions, we defined ROH islands as genomic regions overlapping with the top 1% of high-frequency ROHs (threshold determined by ranking all ROHs based on their population carrier rates) and extracted SNPs within these regions. An equivalent number of SNPs were randomly sampled from non-ROH island regions as a control set to calculate selection signatures. We employed multiple complementary approaches to assess selection pressure: FST (measuring population differentiation), Tajima’s D (detecting deviations from neutral polymorphism distributions), XP-EHH (comparing haplotype extension across populations), and π (nucleotide diversity). These methods capture selection signals through distinct perspectives: FST identifies regions of divergent selection between populations, Tajima’s D distinguishes balancing selection (positive values) from directional selection (negative values), π quantifies diversity loss under recent selective sweeps, and XP-EHH detects population-specific positive selection. Their combined application enables cross-validation of strong selection signals in ROH islands while mitigating method-specific biases. Nucleotide diversity (π), FST and Tajima’s D were calculated using VCFtools (v0.1.17) [20] with a 2-kb window. XP-EHH were calculated usingselscan (v2.0) [21] and FST were implemented to evaluate the selection intensity of European and Asian populations. We defined ROH islands and annotated these regions using Ensembl (Sscrofa11.1 v100). Genes located within ROH island regions were considered candidate genes. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were conducted using clusterProfiler (v4.0) [22] to infer the biological functions of candidate genes.

3. Results

3.1. ROH Distribution Across Global Pig Populations

After stringent filtering, 1203 individuals across 49 breeds remained (Supplementary Table S1), with 3,485,897 high-quality SNPs retained for downstream analysis. A total of 318,131 ROH segments were identified in 1,203 individuals across 49 breeds (Supplementary Table S2). Populations were categorized into four groups: Asian domestic pigs (ASD), Asian wild boars (ASW), European domestic pigs (EUD), and European wild boars (EUW). European pig populations exhibited significantly higher cumulative ROH length and greater total number of ROH segments per individual compared to Asian counterparts (Figure 1A,B). Population-based ROH analysis revealed distinct patterns between continental groups: Asian populations were predominantly characterized by short ROH segments (0.5–2 Mb), which are indicative of ancient inbreeding events. In contrast, European populations exhibited significantly elevated proportions of both medium (2–5 Mb) and long (>5 Mb) ROH segments (Figure 1C, Supplementary Table S3). This pattern strongly suggests intensified recent inbreeding in European populations, likely resulting from modern breeding practices.

3.2. Hybridization Reduces ROH Burden

Two hybrid populations, Diannanxiaoer × Duroc (DD) and Duroc × Landrace × Yorkshire (DLY), were examined to assess the effects of crossbreeding. Both exhibited reduced ROH compared to their parental breeds. The DD population, resulting from an Asian–European cross, showed a significant reduction, suggesting that greater parental genetic divergence leads to substantial ROH attenuation (Figure 2A–D). Pairwise Fst values confirmed that the genetic distance between Diannanxiaoer and Duroc was significantly larger (Figure 2E).

3.3. Selection Pressures and Functional Significance of ROH Islands

ROH were non-randomly distributed, with strong selection signals detected within ROH islands. SNPs within ROH island regions exhibited significantly lower π (pi) values and higher Tajima’s D, suggesting reduced genetic diversity and balancing selection. XP-EHH and Fst analyses further confirmed that European and Asian pigs have experienced distinct selection pressures in ROH regions (Figure 3).
Candidate genes within ROH islands reflected distinct functional roles. The candidate genes in the Asian pig population are significantly associated with growth and immune pathways (Supplementary Tables S5–S7). In contrast, the candidate genes in the European pig population are predominantly related to taste perception, gonadal hormone secretion, and immune responses to microbial exposure (Figure 4) (Supplementary Tables S4, S8 and S9).

3.4. FSTL5: A Key Gene Under Selection in European Pigs

To illustrate the functional significance of genes within ROH islands, we focused on FSTL5 as a representative example, demonstrating its potential role in shaping phenotypic traits and responding to artificial selection pressures. To investigate the impact of FSTL5 on pigs, we utilized data from the PigBiobank resource [23]. First, based on phenotype association analysis across 298 traits, we identified FSTL5 as being associated with the total litter weight of piglets and average daily gain (ADG) (Figure 5A). Second, transcriptome-wide association study (TWAS) results from 34 tissues further confirmed that FSTL5 is significantly associated with ADG in muscle tissue (Figure 5B). Finally, haplotype analysis of the FSTL5 gene region in Asian and European pig populations revealed distinct haplotype patterns between the two groups, highlighting potential genetic differentiation at this locus (Figure 5C).

4. Discussion

Pigs were domesticated across multiple regions of Eurasia between 9000 and 10,000 years ago, becoming one of the most important livestock species worldwide, supplying more than one-third of the animal protein consumed by humans [24]. Numerous studies have investigated the patterns of ROH in Asian and European pigs separately, exploring their associations with inbreeding and selection [25]. However, due to limitations in sample availability, data consistency, and differences in ROH-calling criteria, the global distribution patterns of ROH across major pig breeds remain largely unexplored. Here, we analyzed high-quality, whole-genome resequencing data from 1203 individuals representing 49 major pig breeds worldwide, revealing striking differences in ROH patterns between European and Asian pig populations. European pigs exhibited a higher number and total length of ROH compared to their Asian counterparts, and hybridization was found to reduce both the number and length of ROH. ROH regions showed strong signatures of selection, with ROH islands in European and Asian pigs enriched for distinct sets of functional genes, reflecting their divergent domestication histories and selection pressures. Notably, our study highlights FSTL5 as an example of how ROH segments contribute to selection responses by influencing key genes associated with growth and reproduction.
Comparative ROH analysis revealed distinct patterns between Asian and European porcine populations. Asian pigs demonstrated significantly fewer and shorter ROH segments, aligning with archaeological evidence indicating their origins from multiple independent domestication events across East Asia, including distinct lineages in northern China, southern China, and Southeast Asia [26]. In contrast, European domestic pigs principally descended from a single Near Eastern domestication followed by westward dispersal [27], with population bottlenecks explaining their elevated frequency of short ROH fragments. This continental dichotomy was further reflected in European breeding histories: while medieval-initiated systematic selection in commercial breeds has accumulated long ROH segments through recent directional breeding, native European populations (e.g., Dutch heritage breeds: Netherlands) retained predominantly short-to-medium ROH patterns. These observations corroborate two evolutionary trajectories—the singular domestication origin with bottleneck effects (reduced long ROH) versus intensive artificial selection (enhanced long ROH) in European pig. We identified highly inbred individuals within specific Asian populations, such as the Wuzhishan pig. This highlights a potential risk of inbreeding in small populations, underscoring the need for improved breeding management strategies [28]. European pig populations exhibited higher inbreeding coefficients; however, in contrast to purebred parental lines, the hybrid DLY population demonstrated a reduced ROH burden, which aligns with our expectations. This highlights the strategic value of ROH profiling in parental line selection—by identifying purebred individuals with minimized homozygous deleterious segments, breeders can systematically reduce recessive risk alleles in hybrid offspring while retaining heterosis benefits. Our findings necessitate rigorous ROH monitoring within elite purebred stocks as a prerequisite for designing optimal crossbreeding schemes, particularly in pyramid breeding systems where parental genetic quality directly determines commercial herd viability. Furthermore, the near absence of ROH segments in the hybrid DD population suggests extensive historical admixture between Eurasian pig lineages, which likely diverged approximately 1.2 million years ago [29].
ROH islands are non-randomly distributed across the genome and are often associated with selection. Using conventional selection signature detection methods, we confirmed that ROH islands are under significantly stronger selection pressure. Further functional annotation of genes within these ROH regions revealed that both Asian and European pigs showed enrichment for immune-related pathways, underscoring the role of disease resistance as a key selective force across Asian and European pig populations. Functional analyses demonstrated that CFD, AZU1, and C3 are significantly enriched in the humoral immune response pathway within European pig populations, where they collectively mediate complement activation and pathogen neutralization [30,31]. In parallel, functional enrichment analysis identified TRAF7, CCNF, LZTR1, PPIL2, and PRMT1 as key regulators in Asian porcine populations, showing prominent enrichment in pathways associated with ubiquitination-mediated degradation, methylation modification, and protein conformational regulation. These genes orchestrate critical biological processes, including immune cell activation, inflammatory signal amplification, and autoimmune homeostasis, highlighting their complementary roles in immune adaptation across geographically distinct pig populations [32,33,34,35]. Additionally, we examined the phenotypic impact of FSTL5, one of the most frequent ROH-associated genes in European pigs, and found that it is associated with daily weight gain. The pronounced selection signatures observed at the FSTL5 locus in European pigs reflect its critical role in enhancing economically vital traits. As a TGF-β superfamily regulator, FSTL5 modulates muscle development and metabolic efficiency—key determinants of growth performance [36,37]. The extended haplotype homozygosity at this locus aligns with centuries of artificial selection in European breeding programs that prioritized daily weight gain and feed conversion efficiency. We identified the IGFALS gene within the highest-frequency ROH islands in Asian pig populations. IGFALS mediates growth hormone (GH)-insulin-like growth factor-1 (IGF-1) axis signaling to promote tissue growth, a mechanism directly associated with organismal growth rate. This finding aligns with the observed slower growth phenotype prevalent in Asian pig breeds [38,39].

5. Conclusions

This study establishes the first global characterization of ROH patterns in pigs, revealing how contrasting Eurasian domestication histories and breeding practices have sculpted genomic architectures. The elevated ROH burden in European breeds versus Asian counterparts underscores the necessity for systematic inbreeding monitoring in purebred stocks, while hybrid vigor effects demonstrated in DLY crosses validate strategic crossbreeding protocols. Prioritizing ROH profiling enables targeted conservation of adaptive genetic variants in indigenous Asian breeds and optimized utilization of European elite lines. Our findings advocate integrating ROH analytics into modern breeding frameworks to balance heterosis exploitation with genetic diversity preservation, thereby enhancing both productivity and resilience in global swine industries.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/ani15070988/s1, Table S1: Detailed information on WGS data, Table S2: The descriptive statistics of ROH and ROH region for pig breeds, Table S3: Features of ROH clustered according to length in pigs, Table S4: Location of ROH islands and annotated genes in European pig populations, Table S5: Location of ROH islands and annotated genes in Asian pig populations, Table S6: GO enrichment results for Asian pig candidate genes, Table S7: KEGG enrichment results for Asian pig candidate genes, Table S8: GO enrichment results for European pig candidate genes, Table S9: KEGG enrichment results for European pig candidate genes.

Author Contributions

Study design: J.L., X.L. and J.S.; population and genomic data processing: Y.L., G.L. and Z.Z.; ROH detection: Y.L. and G.L.; drafting the manuscript: Y.L., Z.Z., X.L., J.S. and W.A. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by the Biological Breeding–National Science and Technology Major Project (2023ZD04044), the China Agriculture Research System (CARS-35), the Selection and Breeding of New Local Pig Breeds and Promotion of Industrialization (2024-440000-87020100-8794). All the funders had no role in study design, data collection, analysis, decision to publish, or preparation of the manuscript.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

All the data necessary to evaluate the conclusions of this paper are included within the main manuscript and/or the Supplementary Materials. The 1203 resequenced datasets analyzed in this study were derived from our previously published pig genomics reference panel (PGRP). Detailed information on these datasets is provided in Supplementary Table S1.

Acknowledgments

We are very grateful to all the researchers who contributed to the publicly available data used in this research. We are grateful to the National Supercomputing Center in Wuxi for doing the numerical calculations in this paper on its supercomputer system.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Broman, K.W.; Weber, J.L. Long homozygous chromosomal segments in reference families from the centre d’Etude du polymorphisme humain. Am. J. Hum. Genet. 1999, 65, 1493–1500. [Google Scholar] [CrossRef] [PubMed]
  2. Xu, L.; Zhao, G.; Yang, L.; Zhu, B.; Chen, Y.; Zhang, L.; Gao, X.; Gao, H.; Liu, G.E.; Li, J. Genomic Patterns of Homozygosity in Chinese Local Cattle. Sci. Rep. 2019, 9, 16977. [Google Scholar] [CrossRef] [PubMed]
  3. Liu, Y.; Zhao, G.; Lin, X.; Zhang, J.; Hou, G.; Zhang, L.; Liu, D.; Li, Y.; Li, J.; Xu, L. Genomic inbreeding and runs of homozygosity analysis of indigenous cattle populations in southern China. PLoS ONE 2022, 17, e0271718. [Google Scholar] [CrossRef]
  4. Di Gregorio, P.; Perna, A.; Di Trana, A.; Rando, A. Identification of ROH Islands Conserved through Generations in Pigs Belonging to the Nero Lucano Breed. Genes 2023, 14, 1503. [Google Scholar] [CrossRef] [PubMed]
  5. Zhang, Z.; Zhang, Q.; Xiao, Q.; Sun, H.; Gao, H.; Yang, Y.; Chen, J.; Li, Z.; Xue, M.; Ma, P.; et al. Distribution of runs of homozygosity in Chinese and Western pig breeds evaluated by reduced-representation sequencing data. Anim. Genet. 2018, 49, 579–591. [Google Scholar] [CrossRef]
  6. Chen, C.; Zhu, B.; Tang, X.; Chen, B.; Liu, M.; Gao, N.; Li, S.; Gu, J. Genome-Wide Assessment of Runs of Homozygosity by Whole-Genome Sequencing in Diverse Horse Breeds Worldwide. Genes 2023, 14, 1211. [Google Scholar] [CrossRef]
  7. Abdoli, R.; Mirhoseini, S.Z.; Ghavi Hossein-Zadeh, N.; Zamani, P.; Moradi, M.H.; Ferdosi, M.H.; Sargolzaei, M.; Gondro, C. Runs of homozygosity and cross-generational inbreeding of Iranian fat-tailed sheep. Heredity 2023, 130, 358–367. [Google Scholar] [CrossRef]
  8. Bertolini, F.; Cardoso, T.F.; Marras, G.; Nicolazzi, E.L.; Rothschild, M.F.; Amills, M.; AdaptMap Consortium. Genome-wide patterns of homozygosity provide clues about the population history and adaptation of goats. Genet. Sel. Evol. 2018, 50, 59. [Google Scholar] [CrossRef]
  9. Zhang, L.; Zhang, S.; Yuan, M.; Zhan, F.; Song, M.; Shang, P.; Yang, F.; Li, X.; Qiao, R.; Han, X.; et al. Genome-Wide Association Studies and Runs of Homozygosity to Identify Reproduction-Related Genes in Yorkshire Pig Population. Genes 2023, 14, 2133. [Google Scholar] [CrossRef]
  10. Wang, S.; Yang, J.; Li, G.; Ding, R.; Zhuang, Z.; Ruan, D.; Wu, J.; Yang, H.; Zheng, E.; Cai, G.; et al. Identification of Homozygous Regions with Adverse Effects on the Five Economic Traits of Duroc Pigs. Front. Vet. Sci. 2022, 9, 855933. [Google Scholar] [CrossRef]
  11. Zhang, Z.; Zhao, W.; Wang, Z.; Pan, Y.; Wang, Q.; Zhang, Z. Integration of ssGWAS and ROH analyses for uncovering genetic variants associated with reproduction traits in Large White pigs. Anim. Genet. 2024, 55, 714–724. [Google Scholar] [CrossRef]
  12. Xu, Z.; Sun, H.; Zhang, Z.; Zhao, Q.; Olasege, B.S.; Li, Q.; Yue, Y.; Ma, P.; Zhang, X.; Wang, Q.; et al. Assessment of Autozygosity Derived from Runs of Homozygosity in Jinhua Pigs Disclosed by Sequencing Data. Front. Genet. 2019, 10, 274. [Google Scholar] [CrossRef]
  13. Wang, Z.; Zhong, Z.; Xie, X.; Wang, F.; Pan, D.; Wang, Q.; Pan, Y.; Xiao, Q.; Tan, Z. Detection of Runs of Homozygosity and Identification of Candidate Genes in the Whole Genome of Tunchang Pigs. Animals 2024, 14, 201. [Google Scholar] [CrossRef] [PubMed]
  14. Liu, S.Q.; Xu, Y.J.; Chen, Z.T.; Li, H.; Zhang, Z.; Wang, Q.S.; Pan, Y.C. Genome-wide detection of runs of homozygosity and heterozygosity in Tunchang pigs. Animal 2024, 18, 101236. [Google Scholar] [CrossRef] [PubMed]
  15. Peripolli, E.; Munari, D.P.; Silva, M.; Lima, A.L.F.; Irgang, R.; Baldi, F. Runs of homozygosity: Current knowledge and applications in livestock. Anim. Genet. 2017, 48, 255–271. [Google Scholar] [CrossRef] [PubMed]
  16. Chang, C.C.; Chow, C.C.; Tellier, L.C.; Vattikuti, S.; Purcell, S.M.; Lee, J.J. Second-generation PLINK: Rising to the challenge of larger and richer datasets. Gigascience 2015, 4, 7. [Google Scholar] [CrossRef]
  17. Gusev, A.; Lowe, J.K.; Stoffel, M.; Daly, M.J.; Altshuler, D.; Breslow, J.L.; Friedman, J.M.; Pe’er, I. Whole population, genome-wide mapping of hidden relatedness. Genome Res. 2009, 19, 318–326. [Google Scholar] [CrossRef]
  18. Browning, S.R.; Browning, B.L. High-resolution detection of identity by descent in unrelated individuals. Am. J. Hum. Genet. 2010, 86, 526–539. [Google Scholar] [CrossRef]
  19. Teng, J.; Gao, Y.; Yin, H.; Bai, Z.; Liu, S.; Zeng, H.; Pig, G.C.; Bai, L.; Cai, Z.; Zhao, B.; et al. A compendium of genetic regulatory effects across pig tissues. Nat. Genet. 2024, 56, 112–123. [Google Scholar] [CrossRef]
  20. Danecek, P.; Auton, A.; Abecasis, G.; Albers, C.A.; Banks, E.; DePristo, M.A.; Handsaker, R.E.; Lunter, G.; Marth, G.T.; Sherry, S.T.; et al. The variant call format and VCFtools. Bioinformatics 2011, 27, 2156–2158. [Google Scholar] [CrossRef]
  21. Szpiech, Z.A. selscan 2.0: Scanning for sweeps in unphased data. Bioinformatics 2024, 40, btae006. [Google Scholar] [CrossRef] [PubMed]
  22. Wu, T.; Hu, E.; Xu, S.; Chen, M.; Guo, P.; Dai, Z.; Feng, T.; Zhou, L.; Tang, W.; Zhan, L.; et al. clusterProfiler 4.0: A universal enrichment tool for interpreting omics data. Innovation 2021, 2, 100141. [Google Scholar] [CrossRef] [PubMed]
  23. Zeng, H.; Zhang, W.; Lin, Q.; Gao, Y.; Teng, J.; Xu, Z.; Cai, X.; Zhong, Z.; Wu, J.; Liu, Y.; et al. PigBiobank: A valuable resource for understanding genetic and biological mechanisms of diverse complex traits in pigs. Nucleic Acids Res. 2024, 52, D980–D989. [Google Scholar] [CrossRef] [PubMed]
  24. Smith, N.W.; Fletcher, A.J.; Hill, J.P.; McNabb, W.C. Modeling the Contribution of Meat to Global Nutrient Availability. Front. Nutr. 2022, 9, 766796. [Google Scholar] [CrossRef]
  25. Zhao, F.; Zhang, P.; Wang, X.; Akdemir, D.; Garrick, D.; He, J.; Wang, L. Genetic gain and inbreeding from simulation of different genomic mating schemes for pig improvement. J. Anim. Sci. Biotechnol. 2023, 14, 87. [Google Scholar] [CrossRef]
  26. Larson, G.; Liu, R.; Zhao, X.; Yuan, J.; Fuller, D.; Barton, L.; Dobney, K.; Fan, Q.; Gu, Z.; Liu, X.H.; et al. Patterns of East Asian pig domestication, migration, and turnover revealed by modern and ancient DNA. Proc. Natl. Acad. Sci. USA 2010, 107, 7686–7691. [Google Scholar] [CrossRef]
  27. Larson, G.; Dobney, K.; Albarella, U.; Fang, M.; Matisoo-Smith, E.; Robins, J.; Lowden, S.; Finlayson, H.; Brand, T.; Willerslev, E.; et al. Worldwide phylogeography of wild boar reveals multiple centers of pig domestication. Science 2005, 307, 1618–1621. [Google Scholar] [CrossRef]
  28. Humble, E.; Stoffel, M.A.; Dicks, K.; Ball, A.D.; Gooley, R.M.; Chuven, J.; Pusey, R.; Remeithi, M.A.; Koepfli, K.P.; Pukazhenthi, B.; et al. Conservation management strategy impacts inbreeding and mutation load in scimitar-horned oryx. Proc. Natl. Acad. Sci. USA 2023, 120, e2210756120. [Google Scholar] [CrossRef]
  29. Groenen, M.A.; Archibald, A.L.; Uenishi, H.; Tuggle, C.K.; Takeuchi, Y.; Rothschild, M.F.; Rogel-Gaillard, C.; Park, C.; Milan, D.; Megens, H.J.; et al. Analyses of pig genomes provide insight into porcine demography and evolution. Nature 2012, 491, 393–398. [Google Scholar] [CrossRef]
  30. Barratt, J.; Weitz, I. Complement Factor D as a Strategic Target for Regulating the Alternative Complement Pathway. Front. Immunol. 2021, 12, 712572. [Google Scholar] [CrossRef]
  31. Hemmann, P.; Kloppenburg, L.; Breinbauer, R.; Ehnert, S.; Blumenstock, G.; Reumann, M.K.; Erne, F.; Jazewitsch, J.; Schwarz, T.; Baumgartner, H.; et al. AZU1: A new promising marker for infection in orthopedic and trauma patients? EXCLI J. 2024, 23, 53–61. [Google Scholar] [CrossRef]
  32. Ye, J.; Liu, W.; Yu, X.; Wu, L.; Chen, Z.; Yu, Y.; Wang, J.; Bai, S.; Zhang, M. TRAF7-targeted HOXA5 acts as a tumor suppressor in prostate cancer progression and stemness via transcriptionally activating SPRY2 and regulating MEK/ERK signaling. Cell Death Discov. 2023, 9, 378. [Google Scholar] [CrossRef] [PubMed]
  33. Wei, L.; Li, H.; Xiao, M.; Zhou, C.; Liu, J.; Weng, S.; Wei, R. CCNF is a potential pancancer biomarker and immunotherapy target. Front. Oncol. 2023, 13, 1109378. [Google Scholar] [CrossRef]
  34. Steklov, M.; Pandolfi, S.; Baietti, M.F.; Batiuk, A.; Carai, P.; Najm, P.; Zhang, M.; Jang, H.; Renzi, F.; Cai, Y.; et al. Mutations in LZTR1 drive human disease by dysregulating RAS ubiquitination. Science 2018, 362, 1177–1182. [Google Scholar] [CrossRef] [PubMed]
  35. Liu, J.; Bu, X.; Chu, C.; Dai, X.; Asara, J.M.; Sicinski, P.; Freeman, G.J.; Wei, W. PRMT1 mediated methylation of cGAS suppresses anti-tumor immunity. Nat. Commun. 2023, 14, 2806. [Google Scholar] [CrossRef]
  36. Li, C.; Dai, L.; Zhang, J.; Zhang, Y.; Lin, Y.; Cheng, L.; Tian, H.; Zhang, X.; Wang, Q.; Yang, Q.; et al. Follistatin-like protein 5 inhibits hepatocellular carcinoma progression by inducing caspase-dependent apoptosis and regulating Bcl-2 family proteins. J. Cell. Mol. Med. 2018, 22, 6190–6201. [Google Scholar] [CrossRef] [PubMed]
  37. Liu, L.; Fu, Y.; Zhu, F.; Mu, C.; Li, R.; Song, W.; Shi, C.; Ye, Y.; Wang, C. Transcriptomic analysis of Portunus trituberculatus reveals a critical role for WNT4 and WNT signalling in limb regeneration. Gene 2018, 658, 113–122. [Google Scholar] [CrossRef]
  38. Fadel, I.M.; Ragab, M.H.; Eid, O.M.; Helmy, N.A.; El-Bassyouni, H.T.; Mazen, I. IGF1R, IGFALS, and IGFBP3 gene copy number variations in a group of non-syndromic Egyptian short children. J. Genet. Eng. Biotechnol. 2021, 19, 109. [Google Scholar] [CrossRef]
  39. Alizadeh, F.; Moradian, F.; Farhadi, A. Association of allelic polymorphisms of IGFALS gene with growth traits in Makouei and Ghezel sheep breeds. Trop. Anim. Health Prod. 2020, 52, 3027–3034. [Google Scholar] [CrossRef]
Figure 1. Individual patterns of ROH. The distributions of ROH statistics per individual for 49 pig breeds. We divided the population into four groups (ASD: Asian domestic pigs, ASW: Asian wild boars, EUD: European domestic pigs, EUW: European wild boars) corresponding to the four colors based on geographic location, with the name of the breeds and the number of groups indicated in the horizontal coordinates of the figure. The diamonds indicate the mean value of the population. (A) The length of ROH per individual. (B) The number of ROH per individual. (C) ROH length category distribution. Stacked bar charts depicting the proportion of ROH by length (0.5–2 Mb: short, 2–5 Mb: medium, >5 Mb: long) across the 49 pig breeds, with colors corresponding to ROH categories, and each column representing a breed. Netherlands is a local pig breed originating from the Netherlands. TBT refers to Tibetan pigs from the Qinghai–Tibet Plateau of China. TBTGanSu denotes Tibetan pigs from the Gansu Province, China. TBTSiChuan represents Tibetan pigs from the Sichuan Province, China. TBTYunNan indicates Tibetan pigs from the Yunnan Province, China.
Figure 1. Individual patterns of ROH. The distributions of ROH statistics per individual for 49 pig breeds. We divided the population into four groups (ASD: Asian domestic pigs, ASW: Asian wild boars, EUD: European domestic pigs, EUW: European wild boars) corresponding to the four colors based on geographic location, with the name of the breeds and the number of groups indicated in the horizontal coordinates of the figure. The diamonds indicate the mean value of the population. (A) The length of ROH per individual. (B) The number of ROH per individual. (C) ROH length category distribution. Stacked bar charts depicting the proportion of ROH by length (0.5–2 Mb: short, 2–5 Mb: medium, >5 Mb: long) across the 49 pig breeds, with colors corresponding to ROH categories, and each column representing a breed. Netherlands is a local pig breed originating from the Netherlands. TBT refers to Tibetan pigs from the Qinghai–Tibet Plateau of China. TBTGanSu denotes Tibetan pigs from the Gansu Province, China. TBTSiChuan represents Tibetan pigs from the Sichuan Province, China. TBTYunNan indicates Tibetan pigs from the Yunnan Province, China.
Animals 15 00988 g001
Figure 2. ROH patterns and pairwise Fst in individuals of hybrid and parental populations. (A) Boxplot comparing cumulative ROH length per individual (MB) between the hybrid population DD (Diannanxiaoer × Duroc) and its parental populations (Diannanxiaoer [DNXE] and Duroc [D]). (B) Cumulative ROH length comparison for the hybrid population DLY (Duroc × Landrace × Yorkshire) against its parental populations (Duroc [D], Landrace [L], and Yorkshire [Y]). (C) Boxplot showing cumulative ROH number per individual in hybrid population DD versus parental populations DNXE and D. (D) Cumulative ROH number comparison for hybrid population DLY versus parental populations D, L, and Y. In (AD) plots, where diamonds represent mean values, significance levels are indicated by *, **, *** and **** at p < 0.05, 0.01, 0.001 and 0.0001, respectively. (E) Heatmap of pairwise FST values among five populations: Diannanxiaoer (DNXE), Duroc (D), Landrace (L), Yorkshire (Y), and hybrids DD and DLY. Color gradient (blue to red) reflects genetic differentiation intensity, with red indicating higher divergence.
Figure 2. ROH patterns and pairwise Fst in individuals of hybrid and parental populations. (A) Boxplot comparing cumulative ROH length per individual (MB) between the hybrid population DD (Diannanxiaoer × Duroc) and its parental populations (Diannanxiaoer [DNXE] and Duroc [D]). (B) Cumulative ROH length comparison for the hybrid population DLY (Duroc × Landrace × Yorkshire) against its parental populations (Duroc [D], Landrace [L], and Yorkshire [Y]). (C) Boxplot showing cumulative ROH number per individual in hybrid population DD versus parental populations DNXE and D. (D) Cumulative ROH number comparison for hybrid population DLY versus parental populations D, L, and Y. In (AD) plots, where diamonds represent mean values, significance levels are indicated by *, **, *** and **** at p < 0.05, 0.01, 0.001 and 0.0001, respectively. (E) Heatmap of pairwise FST values among five populations: Diannanxiaoer (DNXE), Duroc (D), Landrace (L), Yorkshire (Y), and hybrids DD and DLY. Color gradient (blue to red) reflects genetic differentiation intensity, with red indicating higher divergence.
Animals 15 00988 g002
Figure 3. Comparative analysis of selective pressures between ROH-enriched genomic regions and randomly sampled non-ROH island SNPs revealed significantly heightened selection pressures within ROH islands. Significance levels for cohort boxplots were determined using *** for p < 0.001.
Figure 3. Comparative analysis of selective pressures between ROH-enriched genomic regions and randomly sampled non-ROH island SNPs revealed significantly heightened selection pressures within ROH islands. Significance levels for cohort boxplots were determined using *** for p < 0.001.
Animals 15 00988 g003
Figure 4. (A) Manhattan plot of the distribution of ROH island in the Asian pig (top) and European pig (bottom), where the red line is the top 1% threshold line. (B) Significant biological pathways (p < 0.01) for GO and KEGG enrichment analysis of candidate genes identified in ROH islands of Asian pig (top) and European pig (bottom) populations.
Figure 4. (A) Manhattan plot of the distribution of ROH island in the Asian pig (top) and European pig (bottom), where the red line is the top 1% threshold line. (B) Significant biological pathways (p < 0.01) for GO and KEGG enrichment analysis of candidate genes identified in ROH islands of Asian pig (top) and European pig (bottom) populations.
Animals 15 00988 g004
Figure 5. The FSTL5 gene suffers different selective pressures in European and Asian pig populations. (A) The point plot shows the association between FSTL5 gene and 298 complex traits. (B) The point plot shows significant association TWAS results between FSTL5 gene and traits in muscle tissue. (A,B) Data obtained from PigBiobank (http://pigbiobank.farmgtex.org, accessed on 11 January 2025). (C) Haplotype heat map of Asian and European pigs in the FSTL5 gene region (50.26–51.05 Mb).
Figure 5. The FSTL5 gene suffers different selective pressures in European and Asian pig populations. (A) The point plot shows the association between FSTL5 gene and 298 complex traits. (B) The point plot shows significant association TWAS results between FSTL5 gene and traits in muscle tissue. (A,B) Data obtained from PigBiobank (http://pigbiobank.farmgtex.org, accessed on 11 January 2025). (C) Haplotype heat map of Asian and European pigs in the FSTL5 gene region (50.26–51.05 Mb).
Animals 15 00988 g005
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Liu, Y.; Li, G.; Ayalew, W.; Zhong, Z.; Liu, X.; Sun, J.; Li, J. Runs of Homozygosity Preliminary Investigation in Pig Breeds. Animals 2025, 15, 988. https://doi.org/10.3390/ani15070988

AMA Style

Liu Y, Li G, Ayalew W, Zhong Z, Liu X, Sun J, Li J. Runs of Homozygosity Preliminary Investigation in Pig Breeds. Animals. 2025; 15(7):988. https://doi.org/10.3390/ani15070988

Chicago/Turabian Style

Liu, Yuqiang, Guangzhen Li, Wondossen Ayalew, Zhanming Zhong, Xiaohong Liu, Jiajie Sun, and Jiaqi Li. 2025. "Runs of Homozygosity Preliminary Investigation in Pig Breeds" Animals 15, no. 7: 988. https://doi.org/10.3390/ani15070988

APA Style

Liu, Y., Li, G., Ayalew, W., Zhong, Z., Liu, X., Sun, J., & Li, J. (2025). Runs of Homozygosity Preliminary Investigation in Pig Breeds. Animals, 15(7), 988. https://doi.org/10.3390/ani15070988

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop