#PAGE_PARAMS# #ADS_HEAD_SCRIPTS# #MICRODATA#

Regions of Homozygosity in the Porcine Genome: Consequence of Demography and the Recombination Landscape


Inbreeding has long been recognized as a primary cause of fitness reduction in both wild and domesticated populations. Consanguineous matings cause inheritance of haplotypes that are identical by descent (IBD) and result in homozygous stretches along the genome of the offspring. Size and position of regions of homozygosity (ROHs) are expected to correlate with genomic features such as GC content and recombination rate, but also direction of selection. Thus, ROHs should be non-randomly distributed across the genome. Therefore, demographic history may not fully predict the effects of inbreeding. The porcine genome has a relatively heterogeneous distribution of recombination rate, making Sus scrofa an excellent model to study the influence of both recombination landscape and demography on genomic variation. This study utilizes next-generation sequencing data for the analysis of genomic ROH patterns, using a comparative sliding window approach. We present an in-depth study of genomic variation based on three different parameters: nucleotide diversity outside ROHs, the number of ROHs in the genome, and the average ROH size. We identified an abundance of ROHs in all genomes of multiple pigs from commercial breeds and wild populations from Eurasia. Size and number of ROHs are in agreement with known demography of the populations, with population bottlenecks highly increasing ROH occurrence. Nucleotide diversity outside ROHs is high in populations derived from a large ancient population, regardless of current population size. In addition, we show an unequal genomic ROH distribution, with strong correlations of ROH size and abundance with recombination rate and GC content. Global gene content does not correlate with ROH frequency, but some ROH hotspots do contain positive selected genes in commercial lines and wild populations. This study highlights the importance of the influence of demography and recombination on homozygosity in the genome to understand the effects of inbreeding.


Vyšlo v časopise: Regions of Homozygosity in the Porcine Genome: Consequence of Demography and the Recombination Landscape. PLoS Genet 8(11): e32767. doi:10.1371/journal.pgen.1003100
Kategorie: Research Article
prolekare.web.journal.doi_sk: https://doi.org/10.1371/journal.pgen.1003100

Souhrn

Inbreeding has long been recognized as a primary cause of fitness reduction in both wild and domesticated populations. Consanguineous matings cause inheritance of haplotypes that are identical by descent (IBD) and result in homozygous stretches along the genome of the offspring. Size and position of regions of homozygosity (ROHs) are expected to correlate with genomic features such as GC content and recombination rate, but also direction of selection. Thus, ROHs should be non-randomly distributed across the genome. Therefore, demographic history may not fully predict the effects of inbreeding. The porcine genome has a relatively heterogeneous distribution of recombination rate, making Sus scrofa an excellent model to study the influence of both recombination landscape and demography on genomic variation. This study utilizes next-generation sequencing data for the analysis of genomic ROH patterns, using a comparative sliding window approach. We present an in-depth study of genomic variation based on three different parameters: nucleotide diversity outside ROHs, the number of ROHs in the genome, and the average ROH size. We identified an abundance of ROHs in all genomes of multiple pigs from commercial breeds and wild populations from Eurasia. Size and number of ROHs are in agreement with known demography of the populations, with population bottlenecks highly increasing ROH occurrence. Nucleotide diversity outside ROHs is high in populations derived from a large ancient population, regardless of current population size. In addition, we show an unequal genomic ROH distribution, with strong correlations of ROH size and abundance with recombination rate and GC content. Global gene content does not correlate with ROH frequency, but some ROH hotspots do contain positive selected genes in commercial lines and wild populations. This study highlights the importance of the influence of demography and recombination on homozygosity in the genome to understand the effects of inbreeding.


Zdroje

1. AutonA, BrycK, BoykoAR, LohmuellerKE, NovembreJ, et al. (2009) Global distribution of genomic diversity underscores rich complex history of continental human populations. Genome Res 19: 795–803.

2. vonHoldtBM, PollingerJP, EarlDA, KnowlesJC, BoykoAR, et al. (2011) A genome-wide perspective on the evolutionary history of enigmatic wolf-like canids. Genome Res 21: 1294–1305.

3. KuCS, NaidooN, TeoSM, PawitanY (2011) Regions of homozygosity and their impact on complex diseases and traits. Hum Genet 129: 1–15.

4. NallsMA, GuerreiroRJ, Simon-SanchezJ, BrasJT, TraynorBJ, et al. (2009) Extended tracts of homozygosity identify novel candidate genes associated with late-onset Alzheimer's disease. Neurogenetics 10: 183–190.

5. VineAE, McQuillinA, BassNJ, PereiraA, KandaswamyR, et al. (2009) No evidence for excess runs of homozygosity in bipolar disorder. Psychiatr Genet 19: 165–170.

6. LenczT, LambertC, DeRosseP, BurdickKE, MorganTV, et al. (2007) Runs of homozygosity reveal highly penetrant recessive loci in schizophrenia. Proc Natl Acad Sci U S A 104: 19942–19947.

7. WrightS (1921) Systems of Mating. II. the Effects of Inbreeding on the Genetic Composition of a Population. Genetics 6: 124–143.

8. PryceJE, HayesBJ, GoddardME (2012) Novel strategies to minimize progeny inbreeding while maximizing genetic gain using genomic information. J Dairy Sci 95: 377–388.

9. ShafferML (1981) Minimum population sizes for species conservation. Bioscience 31, No.2: 131–134.

10. AllendorfFW, HohenlohePA, LuikartG (2010) Genomics and the future of conservation genetics. Nat Rev Genet 11: 697–709.

11. LaikreL, AllendorfFW, AronerLC, BakerCS, GregovichDP, et al. (2010) Neglect of genetic diversity in implementation of the convention on biological diversity. Conserv Biol 24: 86–88.

12. KellerMC, VisscherPM, GoddardME (2011) Quantification of inbreeding due to distant ancestors and its detection using dense single nucleotide polymorphism data. Genetics 189: 237–249.

13. NothnagelM, LuTT, KayserM, KrawczakM (2010) Genomic and geographic distribution of SNP-defined runs of homozygosity in Europeans. Hum Mol Genet 19: 2927–2935.

14. MacLeodIM, MeeuwissenTHE, HayesBJ, GoddardME (2009) A novel predictor of multilocus haplotype homozygosity: comparison with existing predictors. Genetics Research 91: 413–426.

15. PembertonTJ, AbsherD, FeldmanWM, MyersRM, RosenbergNA, et al. Genomic Patterns of Homozygosity in Worldwide Human Populations. (2012). Am J Hum Genet 91: 275–292.

16. VonholdtBM, PollingerJP, LohmuellerKE, HanE, ParkerHG, et al. (2010) Genome-wide SNP and haplotype analyses reveal a rich history underlying dog domestication. Nature 464: 898–902.

17. HowriganDP, SimonsonMA, KellerMC (2011) Detecting autozygosity through runs of homozygosity: a comparison of three autozygosity detection algorithms. BMC Genom 12: 460.

18. TortereauF, ServinB, FrantzL, MegensH, MilanD, et al. (2012) Sex-specific recombination rate differences observed in the pig are correlated with GC content. BMC Genom In press.

19. LarsonG, CucchiT, FujitaM, Matisoo-SmithE, RobinsJ, et al. (2007) Phylogeny and ancient DNA of Sus provides insights into neolithic expansion in Island Southeast Asia and Oceania. Proc Natl Acad Sci U S A 104: 4834–4839.

20. MonaS, RandiE, Tommaseo-PonzettaM (2007) Evolutionary history of the genus Sus inferred from cytochrome b sequences. Mol Phylogenet Evol 45: 757–762.

21. GroenenMAM, ArchibaldAL, UenishiH, TuggleCK, TakeuchiY, et al. (2012) Analyses of pig genomes provide insight into porcine demography and evolution. Nature in Press.

22. LarsonG, DobneyK, AlbarellaU, FangM, Matisoo-SmithE, et al. (2005) Worldwide phylogeography of wild boar reveals multiple centers of pig domestication. Science 307: 1618–1621.

23. ScanduraM, IacolinaL, CrestanelloB, PecchioliE, Di BenedettoMF, et al. (2008) Ancient vs. recent processes as factors shaping the genetic variation of the European wild boar: are the effects of the last glaciation still detectable?. Mol Ecol 17: 1745–1762.

24. ZachosJ, PaganiM, SloanL, ThomasE, BillupsK (2001) Trends, rhythms, and aberrations in global climate 65 Ma to present. Science 292: 686–93.

25. LarsonG, AlbarellaU, DobneyK, Rowley-ConwyP, SchiblerJ, et al. (2007) Ancient DNA, pig domestication, and the spread of the Neolithic into Europe. Proc Natl Acad Sci U S A 104: 15276–15281.

26. NeiM, LiWH (1979) Mathematical model for studying genetic variation in terms of restriction endonucleases. Proc Natl Acad Sci 76: 5269–5273.

27. FerrazALJ, OjedaA, López-BéjarM, FernandesLT, CastellóA, et al. (2008) Transcriptome architecture across tissues in the pig. BMC Genomics 173: 1–20.

28. KirinM, McQuillanR, FranklinCS, CampbellH, McKeiguePM, et al. (2010) Genomic runs of homozygosity record population history and consanguinity. PLoS One 5: e13996.

29. RamachandranS, DeshpandeO, RosemanCC, RosenbergNA, FeldmanMW, et al. (2005) Support from the relationship of genetic and geographic distance in human populations for a serial founder effect originating in Africa. Proc Natl Acad Sci U S A 102: 15942–15947.

30. LiJZ, AbsherDM, TangH, SouthwickAM, CastoAM, et al. (2008) Worldwide human relationships inferred from genome-wide patterns of variation. Science 319: 1100–1104.

31. HabierD, GötzK (2009) Breeding programme for Piétrain pigs in Bavaria with an estimation of genetic trends and effective population size. Livestock Science 123, Issues 2–3: 187–192.

32. RamírezO, OjedaA, TomàsA, GallardoD, HuangLS, et al. (2009) Integrating Y-chromosome, mitochondrial, and autosomal data to analyze the origin of pig breeds. Mol Biol Evol 26: 2061–2072.

33. GiuffraE, KijasJM, AmargerV, CarlborgO, JeonJT, et al. (2000) The origin of the domestic pig: independent domestication and subsequent introgression. Genetics 154: 1785–1791.

34. MegensHJ, CrooijmansRPMA, San CristobalM, HuiX, LiN, et al. (2008) Biodiversity of pig breeds from China and Europe estimated from pooled DNA samples: differences in microsatellite variation between two areas of domestication. Genet Sel Evol 40: 103–128.

35. SanCristobalM, ChevaletC, HaleyCS, JoostenR, RattinkAP, et al. (2006) Genetic diversity within and between European pig breeds using microsatellite markers. Anim Genet 37: 189–198.

36. GoedbloedD, MegensH, van HooftP, LutzW, CrooijmansRPMA, et al. (2012) Genome-wide SNP analysis reveals recent genetic introgression from domestic pigs into Northwest European wild boar populations. Mol Ecol In press.

37. MegensHJ, CrooijmansRP, BastiaansenJW, KerstensHH, CosterA, et al. (2009) Comparison of linkage disequilibrium and haplotype diversity on macro- and microchromosomes in chicken. BMC Genet 10: 86.

38. LohmuellerKE, AlbrechtsenA, LiY, KimSY, KorneliussenT, et al. (2011) Natural selection affects multiple aspects of genetic variation at putatively neutral sites across the human genome. PLoS Genet 7: e1002326.

39. AndolfattoP (2005) Adaptive evolution of non-coding DNA in Drosophila. Nature 437: 1149–1152.

40. CurtisD, VineAE, KnightJ (2008) Study of regions of extended homozygosity provides a powerful method to explore haplotype structure of human populations. Ann Hum Genet 72: 261–278.

41. SunHF, ErnstCW, YerleM, PintonP, RothschildMF, et al. (1999) Human chromosome 3 and pig chromosome 13 show complete synteny conservation but extensive gene-order differences. Cytogenet Cell Genet 85: 273–278.

42. RohrerGA, AlexanderLJ, HuZ, SmithTP, KeeleJW, et al. (1996) A comprehensive map of the porcine genome. Genome Res 6: 371–391.

43. Esteve-CodinaA, KoflerR, HimmelbauerH, FerrettiL, VivancosAP, et al. (2011) Partial short-read sequencing of a highly inbred Iberian pig and genomics inference thereof. Heredity 107: 256–264.

44. Herrero-Medrano JM, Megens HJ, Crooijmans RP, Abellaneda JM, Ramis G. Farm-by-farm analysis of microsatellite, mtDNA, and SNP genotype data reveals inbreeding and crossbreeding as threats to the survival of a native Spanish pig breed. In press.

45. NieH, CrooijmansRP, LammersA, van SchothorstEM, KeijerJ, et al. (2010) Gene expression in chicken reveals correlation with structural genomic features and conserved patterns of transcription in the terrestrial vertebrates. PLoS One 5(8): e11990.

46. WernerssonR, SchierupMH, JørgensenFG, GorodkinJ, PanitzF, et al. (2005) Pigs in sequence space: A 0.66× coverage pig genome survey based on shotgun sequencing. BMC Genom 6: 70.

47. LeuteneggerA, PrumB, GéninE, VernyC, LemainqueA, et al. (2003) Estimation of the inbreeding coefficient through use of genomic data. Am J Hum Genet 73: 516–523.

48. RamosAM, CrooijmansRPMA, AffaraNA, AmaralAJ, ArchibaldAL, et al. (2009) Design of a high density SNP genotyping assay in the pig using SNPs identified and characterized by next generation sequencing technology. PLoS One 4: e6524.

49. LiH, HandsakerB, WysokerA, FennellT, RuanJ, et al. (2009) The Sequence Alignment/Map format and SAMtools. Bioinformatics 25: 2078–2079.

50. PurcellS, NealeB, Todd-BrownK, ThomasL, FerreiraMAR, et al. (2007) PLINK: a tool set for whole-genome association and population-based linkage analyses. Am J Hum Genet 81: 559–575.

51. Felsenstein J. (2005). PHYLIP (Phylogeny Inference Package) version 3.6. Distributed by the author. Department of Genome Sciences, University of Washington, Seattle.

52. LiH, DurbinR (2011) Inference of human population history from individual whole-genome sequences. Nature 475: 493–496.

53. MyersS, BottoloL, FreemanC, McVeanG, DonnellyP (2005) A fine-scale map of recombination rates and hotspots across the human genome. Science 310: 321–324.

54. ShifmanS, BellJT, CopleyRR, TaylorMS, WilliamsRW, et al. (2006) A high-resolution single nucleotide polymorphism genetic map of the mouse genome. PLoS Biol 4: e395.

55. AriasJA, KeehanM, FisherP, CoppietersW, SpelmanR (2009) A high density linkage map of the bovine genome. BMC Genet 10: 18.

56. HaiderS, BallesterB, SmedleyD, et al. (2009) BioMart Central Portal–unified access to biological data. Nucleic Acids Res 37: 23–27.

57. MaereS, HeymansK, KuiperM 2005. BiNGO: a Cytoscape plugin to assess overrepresentation of Gene Ontology categories in Biological Networks. Bioinformatics 21: 3448–3449.

58. ShannonP, MarkielA, OzierO, BaligaNS, WangJT, RamageD, AminN, SchwikowskiB, IdekerT (2003) Cytoscape: A Software Environment for Integrated Models of Biomolecular Interaction Networks. Genome Research 13: 2498–2504.

Štítky
Genetika Reprodukčná medicína

Článok vyšiel v časopise

PLOS Genetics


2012 Číslo 11
Najčítanejšie tento týždeň
Najčítanejšie v tomto čísle
Kurzy

Zvýšte si kvalifikáciu online z pohodlia domova

Aktuální možnosti diagnostiky a léčby litiáz
nový kurz
Autori: MUDr. Tomáš Ürge, PhD.

Všetky kurzy
Prihlásenie
Zabudnuté heslo

Zadajte e-mailovú adresu, s ktorou ste vytvárali účet. Budú Vám na ňu zasielané informácie k nastaveniu nového hesla.

Prihlásenie

Nemáte účet?  Registrujte sa

#ADS_BOTTOM_SCRIPTS#