#PAGE_PARAMS# #ADS_HEAD_SCRIPTS# #MICRODATA#

A Splice Mutation in the Gene Causes High Glycogen Content and Low Meat Quality in Pig Skeletal Muscle


Glycogen storage diseases (GSD) are a group of inherited disorders characterized by storage of excess glycogen, which are mainly caused by the abnormality of a particular enzyme essential for releasing glucose from glycogen. GSD-like conditions have been described in a wide variety of species. Pigs are a valuable model for the study of human GSD. Moreover, pigs affected by GSD usually produce inferior pork with a lower ultimate pH (so-called “acid meat”) and less processing yield due to post-mortem degradation of the excess glycogen. So far, only one causal variant, PRKAG3 R225Q, has been identified for GSD in pigs. Here we reported a loss-of-function mutation in the PHKG1 gene that causes the deficiency of the glycogen breakdown, consequently leading to GSD and acid meat in Duroc-sired pigs. Eliminating the undesirable mutation from the breeding stock by a diagnostic DNA test will greatly reduce the incidence of GSD and significantly improve pork quality and productivity in the pig.


Vyšlo v časopise: A Splice Mutation in the Gene Causes High Glycogen Content and Low Meat Quality in Pig Skeletal Muscle. PLoS Genet 10(10): e32767. doi:10.1371/journal.pgen.1004710
Kategorie: Research Article
prolekare.web.journal.doi_sk: https://doi.org/10.1371/journal.pgen.1004710

Souhrn

Glycogen storage diseases (GSD) are a group of inherited disorders characterized by storage of excess glycogen, which are mainly caused by the abnormality of a particular enzyme essential for releasing glucose from glycogen. GSD-like conditions have been described in a wide variety of species. Pigs are a valuable model for the study of human GSD. Moreover, pigs affected by GSD usually produce inferior pork with a lower ultimate pH (so-called “acid meat”) and less processing yield due to post-mortem degradation of the excess glycogen. So far, only one causal variant, PRKAG3 R225Q, has been identified for GSD in pigs. Here we reported a loss-of-function mutation in the PHKG1 gene that causes the deficiency of the glycogen breakdown, consequently leading to GSD and acid meat in Duroc-sired pigs. Eliminating the undesirable mutation from the breeding stock by a diagnostic DNA test will greatly reduce the incidence of GSD and significantly improve pork quality and productivity in the pig.


Zdroje

1. HuZL, ParkCA, WuXL, ReecyJM (2013) Animal QTLdb: an improved database tool for livestock animal QTL/association data dissemination in the post-genome era. Nucleic Acids Research 41: D871–D879.

2. RenJ, MaoH, ZhangZ, XiaoS, DingN, et al. (2011) A 6-bp deletion in the TYRP1 gene causes the brown colouration phenotype in Chinese indigenous pigs. Heredity (Edinb) 106: 862–868.

3. RubinCJ, ZodyMC, ErikssonJ, MeadowsJR, SherwoodE, et al. (2010) Whole-genome resequencing reveals loci under selection during chicken domestication. Nature 464: 587–591.

4. RubinCJ, MegensHJ, Martinez BarrioA, MaqboolK, SayyabS, et al. (2012) Strong signatures of selection in the domestic pig genome. Proc Natl Acad Sci U S A 109: 19529–19536.

5. AnderssonL, GeorgesM (2004) Domestic-animal genomics: deciphering the genetics of complex traits. Nat Rev Genet 5: 202–212.

6. GeorgesM (2007) Mapping, fine Mapping, and molecular dissection of quantitative trait loci in domestic animals. Annu Rev Genomics Hum Genet 8: 131–162.

7. RenJ, DuanY, QiaoR, YaoF, ZhangZ, et al. (2011) A Missense Mutation in PPARD Causes a Major QTL Effect on Ear Size in Pigs. PLoS Genet 7: e1002043.

8. SchadtEE, LambJ, YangX, ZhuJ, EdwardsS, et al. (2005) An integrative genomics approach to infer causal associations between gene expression and disease. Nat Genet 37: 710–717.

9. AyrolesJF, CarboneMA, StoneEA, JordanKW, LymanRF, et al. (2009) Systems genetics of complex traits in Drosophila melanogaster. Nat Genet 41: 299–307.

10. TuZ, KellerMP, ZhangC, RabagliaME, GreenawaltDM, et al. (2012) Integrative analysis of a cross-loci regulation network identifies App as a gene regulating insulin secretion from pancreatic islets. PLoS Genet 8: e1003107.

11. ChenC, YangB, ZengZ, YangH, LiuC, et al. (2013) Genetic dissection of blood lipid traits by integrating genome-wide association study and gene expression profiling in a porcine model. BMC Genomics 14: 848.

12. PonsuksiliS, MuraniE, SchwerinM, SchellanderK, WimmersK (2010) Identification of expression QTL (eQTL) of genes expressed in porcine M. longissimus dorsi and associated with meat quality traits. BMC Genomics 11: 572.

13. PonsuksiliS, JonasE, MuraniE, PhatsaraC, SrikanchaiT, et al. (2008) Trait correlated expression combined with expression QTL analysis reveals biological pathways and candidate genes affecting water holding capacity of muscle. BMC Genomics 9: 367.

14. CorominasJ, Ramayo-CaldasY, Puig-OliverasA, Perez-MontareloD, NogueraJL, et al. (2013) Polymorphism in the ELOVL6 gene is associated with a major QTL effect on fatty acid composition in pigs. PLoS One 8: e53687.

15. HamiltonDN, MillerKD, EllisM, McKeithFK, WilsonER (2003) Relationships between longissimus glycolytic potential and swine growth performance, carcass traits, and pork quality. J Anim Sci 81: 2206–2212.

16. WulfDM, EmnettRS, LeheskaJM, MoellerSJ (2002) Relationships among glycolytic potential, dark cutting (dark, firm, and dry) beef, and cooked beef palatability. J Anim Sci 80: 1895–1903.

17. BurwinkelB, HuB, SchroersA, ClemensPR, MosesSW, et al. (2003) Muscle glycogenosis with low phosphorylase kinase activity: mutations in PHKA1, PHKG1 or six other candidate genes explain only a minority of cases. Eur J Hum Genet 11: 516–526.

18. CiobanuD, BastiaansenJ, MalekM, HelmJ, WoollardJ, et al. (2001) Evidence for new alleles in the protein kinase adenosine monophosphate-activated gamma(3)-subunit gene associated with low glycogen content in pig skeletal muscle and improved meat quality. Genetics 159: 1151–1162.

19. MilanD, JeonJT, LooftC, AmargerV, RobicA, et al. (2000) A mutation in PRKAG3 associated with excess glycogen content in pig skeletal muscle. Science 288: 1248–1251.

20. DuanYY, MaJW, YuanF, HuangLB, YangKX, et al. (2009) Genome-wide identification of quantitative trait loci for pork temperature, pH decline, and glycolytic potential in a large-scale White Duroc x Chinese Erhualian resource population. J Anim Sci 87: 9–16.

21. RamosAM, CrooijmansRP, 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.

22. RoscignoRF, WeinerM, Garcia-BlancoMA (1993) A mutational analysis of the polypyrimidine tract of introns. Effects of sequence differences in pyrimidine tracts on splicing. J Biol Chem 268: 11222–11229.

23. GhazalpourA, BennettB, PetyukVA, OrozcoL, HagopianR, et al. (2011) Comparative analysis of proteome and transcriptome variation in mouse. PLoS Genet 7: e1001393.

24. WuL, CandilleSI, ChoiY, XieD, JiangL, et al. (2013) Variation and genetic control of protein abundance in humans. Nature 499: 79–82.

25. BaliDS, GoldsteinJL, FredricksonK, RehderC, BoneyA, et al. (2013) Variability of disease spectrum in children with liver phosphorylase kinase deficiency caused by mutations in the PHKG2 gene. Mol Genet Metab 111(3): 309–13.

26. Goldstein J, Austin S, Kishnani P, Bali D (1993) Phosphorylase Kinase Deficiency. In: Pagon RA, Adam MP, Bird TD, Dolan CR, Fong CT et al., editors. GeneReviews. Seattle (WA).

27. PreislerN, OrngreenMC, Echaniz-LagunaA, LaforetP, Lonsdorfer-WolfE, et al. (2012) Muscle phosphorylase kinase deficiency: a neutral metabolic variant or a disease? Neurology 78: 265–268.

28. WehnerM, ClemensPR, EngelAG, KilimannMW (1994) Human muscle glycogenosis due to phosphorylase kinase deficiency associated with a nonsense mutation in the muscle isoform of the alpha subunit. Hum Mol Genet 3: 1983–1987.

29. AchouitarS, GoldsteinJL, MohamedM, AustinS, BoyetteK, et al. (2011) Common mutation in the PHKA2 gene with variable phenotype in patients with liver phosphorylase b kinase deficiency. Mol Genet Metab 104: 691–694.

30. LongYC, BarnesBR, MahlapuuM, SteilerTL, MartinssonS, et al. (2005) Role of AMP-activated protein kinase in the coordinated expression of genes controlling glucose and lipid metabolism in mouse white skeletal muscle. Diabetologia 48: 2354–2364.

31. AnderssonL (2003) Identification and characterization of AMPK gamma 3 mutations in the pig. Biochem Soc Trans 31: 232–235.

32. CostaLN, FiegoDPL, PantanoA, RussoV (1998) Relationship between glycolytic potential and technological quality of meat and dry-cured Parma ham in the Italian heavy pig. CIHEAM - Options Mediterraneennes 999: 227–231.

33. GuoY, MaoH, RenJ, YanX, DuanY, et al. (2009) A linkage map of the porcine genome from a large-scale White Duroc x Erhualian resource population and evaluation of factors affecting recombination rates. Anim Genet 40: 47–52.

34. MaJ, RenJ, GuoY, DuanY, DingN, et al. (2009) Genome-wide identification of quantitative trait loci for carcass composition and meat quality in a large-scale White Duroc x Chinese Erhualian resource population. Anim Genet 40: 637–647.

35. GroenenMA, ArchibaldAL, UenishiH, TuggleCK, TakeuchiY, et al. (2012) Analyses of pig genomes provide insight into porcine demography and evolution. Nature 491: 393–398.

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

37. YuJ, PressoirG, BriggsWH, Vroh BiI, YamasakiM, et al. (2006) A unified mixed-model method for association mapping that accounts for multiple levels of relatedness. Nat Genet 38: 203–208.

38. HayesBJ, GoddardME (2008) Technical note: prediction of breeding values using marker-derived relationship matrices. J Anim Sci 86: 2089–2092.

39. AulchenkoYS, RipkeS, IsaacsA, van DuijnCM (2007) GenABEL: an R library for genome-wide association analysis. Bioinformatics 23: 1294–1296.

40. YangQ, CuiJ, ChazaroI, CupplesLA, DemissieS (2005) Power and type I error rate of false discovery rate approaches in genome-wide association studies. BMC Genet 6 Suppl 1S134.

41. PearsonTA, ManolioTA (2008) How to interpret a genome-wide association study. JAMA 299: 1335–1344.

42. ChenC, WeiR, QiaoR, RenJ, YangH, et al. (2012) A genome-wide investigation of expression characteristics of natural antisense transcripts in liver and muscle samples of pigs. PLoS One 7: e52433.

43. LiR, YuC, LiY, LamTW, YiuSM, et al. (2009) SOAP2: an improved ultrafast tool for short read alignment. Bioinformatics 25: 1966–1967.

44. LourencoVM, PiresAM, KirstM (2011) Robust linear regression methods in association studies. Bioinformatics 27: 815–821.

45. NezerC, ColletteC, MoreauL, BrouwersB, KimJJ, et al. (2003) Haplotype sharing refines the location of an imprinted quantitative trait locus with major effect on muscle mass to a 250-kb chromosome segment containing the porcine IGF2 gene. Genetics 165: 277–285.

46. GaildratP, KillianA, MartinsA, TournierI, FrebourgT, et al. (2010) Use of splicing reporter minigene assay to evaluate the effect on splicing of unclassified genetic variants. Methods Mol Biol 653: 249–257.

47. TamuraK, StecherG, PetersonD, FilipskiA, KumarS (2013) MEGA6: Molecular Evolutionary Genetics Analysis version 6.0. Mol Biol Evol 30: 2725–2729.

Štítky
Genetika Reprodukčná medicína

Článok vyšiel v časopise

PLOS Genetics


2014 Číslo 10
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#