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Quantitative trait loci analysis to study the genetic regulation of non-polar metabolites in perennial ryegrass

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Abstract

In recent years advances in quantitative trait loci (QTL) mapping of complex metabolomics traits have been made in plants. This study is a two-phase experiment in which we have profiled transesterified non-polar metabolites in a Lolium perenne population consisting of parents, F1 and 325 F2 genotypes. These were grown in a replicated field trial, then analysed in batches by a targeted approach using gas-chromatography mass spectrometry (GC–MS), which identified 17 metabolites. The metabolite data was analysed using a mixed model that included random effects of field replicate, laboratory batch and technical replication to derive genotype means for QTL mapping. Using a linkage map of 326 markers, mainly Diversity Array Technology markers, QTLs were detected for seven of the metabolites. The most heritable metabolite was octacosanol, where a single QTL on linkage group four explained 42 % of the trait variance.

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References

  • Ali, H. A. M., Mayes, R. W., Hector, B. L., & Orskov, E. R. (2005a). Assessment of n-alkanes, long-chain fatty alcohols and long-chain fatty acids as diet composition markers: The concentrations of these compounds in rangeland species from Sudan. Animal Feed Science and Technology, 121, 257–271.

    Article  CAS  Google Scholar 

  • Ali, H. A. M., Mayes, R. W., Hector, B. L., Verma, A. K., & Orskov, E. R. (2005b). The possible use of n-alkanes, long chain fatty alcohols and long-chain fatty acids as markers in studies of the botanical composition of the diet of free-ranging herbivores. Journal of Agricultural Science, 143, 85–95.

    Article  CAS  Google Scholar 

  • Ali, H. A. M., Mayes, R. W., Lamb, C. S., Hector, B. L., Verma, A. K., & Orskov, E. R. (2004). The potential of long-chain fatty alcohols and long-chain fatty acids as diet composition markers: Development of methods for quantitative analysis and faecal recoveries of these compounds in sheep fed mixed diets. Journal of Agricultural Science, 142, 71–78.

    Article  CAS  Google Scholar 

  • Anhalt, U. C. M., Heslop-Harrison, J. S., Byrne, S. L., Guillard, A., & Barth, S. (2008). Segregation distortion in Lolium: Evidence for genetic effects. TAG. Theoretical and Applied Genetics, 117, 297–306.

    Article  CAS  Google Scholar 

  • Anhalt, U. C. M., Heslop-Harrison, J. S., Piepho, H. P., Byrne, S. L., & Barth, S. (2009). Quantitative trait loci mapping for biomass yield traits in a Lolium inbred line derived F2 population. Euphytica, 170, 99–107.

    Article  CAS  Google Scholar 

  • Armstead, I. P., Turner, L. B., King, I. P., Cairns, A. J., & Humphreys, M. O. (2002). Comparison and integration of genetic maps generated from F2 and BC1-type mapping populations in perennial ryegrass. Plant Breeding, 121, 501–507.

    Article  CAS  Google Scholar 

  • Ashes, J. R., Siebert, B. D., Gulati, S. K., Cuthbertson, A. Z., & Scott, T. W. (1992). Incorporation of n-3-fatty acids of fish oil into tissue and serum lipids of ruminants. Lipids, 27, 629–631.

    Article  CAS  PubMed  Google Scholar 

  • Bert, P. F., Charmet, G., Sourdille, P., Hayward, M. D., & Balfourier, F. (1999). A high-density molecular map for ryegrass (Lolium perenne) using AFLP markers. TAG. Theoretical and Applied Genetics, 99, 445–452.

    Article  CAS  Google Scholar 

  • Brien, C. J., & Bailey, R. A. (2006). Multiple randomizations. Journal of the Royal Statistical Society: Series B, 68, 571–609.

    Article  Google Scholar 

  • Broman, K. W., Wu, H., Sen, Ś., & Churchill, G. A. (2003). R/qtl: QTL mapping in experimental crosses. Bioinformatics, 19, 889–890.

    Article  CAS  PubMed  Google Scholar 

  • Buzatto, A. Z., de Sousa, A. C., Guedes, S. F., et al. (2014). Metabolomic investigation of human diseases biomarkers by CE and LC coupled to MS. Electrophoresis, 35, 1285–1307.

    Article  CAS  PubMed  Google Scholar 

  • Calingacion, M. N., Boualaphanh, C., Daygon, V. D., et al. (2012). A genomics and multi-platform metabolomics approach to identify new traits of rice quality in traditional and improved varieties. Metabolomics, 8, 771–783.

    Article  CAS  Google Scholar 

  • Carreno-Quintero, N., Acharjee, A., Maliepaard, C., et al. (2012). Untargeted metabolic quantitative trait loci analyses reveal a relationship between primary metabolism and potato tuber quality. Plant Physiology, 158, 1306–1318.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  • Chilliard, Y., & Ferlay, A. (2004). Dietary lipids and forages interactions on cow and goat milk fatty acid composition and sensory properties. Reproduction Nutrition Development, 44, 467–492.

    Article  CAS  Google Scholar 

  • Cogan, N. O. I., Smith, K. F., Yamada, T., et al. (2005). QTL analysis and comparative genomics of herbage quality traits in perennial ryegrass (Lolium perenne L.). TAG. Theoretical and Applied Genetics, 110, 364–380.

    Article  CAS  Google Scholar 

  • Connor, W. E. (2000). Importance of n-3 fatty acids in health and disease. American Journal of Clinical Nutrition, 71, 171S–175S.

    CAS  PubMed  Google Scholar 

  • Dewhurst, R. J., Scollan, N. D., Lee, M. R. F., Ougham, H. J., & Humphreys, M. O. (2003). Forage breeding and management to increase the beneficial fatty acid content of ruminant products. Proceedings of the Nutrition Society, 62, 329–336.

    Article  CAS  PubMed  Google Scholar 

  • Dohme, F., Fievez, V. I., Raes, K., & Demeyer, D. I. (2003). Increasing levels of two different fish oils lower ruminal biohydrogenation of eicosapentaenoic and docoshexaenoic acid in vitro. Journal of Applied Animal Research, 52, 309–320.

    Article  CAS  Google Scholar 

  • Dunn, W. B., Erban, A., Weber, R. J. M., et al. (2012). Mass appeal: Metabolite identification in mass-spectrometry-focused untargeted metabolomics. Metabolomics, 9(S1), 44–66.

    Article  Google Scholar 

  • Espinoza, C., Degenkolbe, T., Caldana, C., et al. (2010). Interaction with diurnal and circadian regulation results in dynamic metabolic and transcriptional changes during cold acclimation in Arabidopsis. PLoS ONE, 5, e14101.

    Article  PubMed Central  PubMed  Google Scholar 

  • Farré, E. M., & Weise, S. E. (2012). The interactions between circadian clock and primary metabolism. Current Opinion in Plant Biology, 15, 293–300.

    Article  PubMed  Google Scholar 

  • Faville, M. J., Vecchies, A. C., Schreiber, M., et al. (2004). Functionally associated molecular genetic marker map construction in perennial ryegrass (Lolium perenne L.). TAG. Theoretical and Applied Genetics, 110, 12–32.

    Article  CAS  Google Scholar 

  • Ferreira, L. M. M., Celaya, R., Santos, A. S., Mayes, R. W., Rodrigues, M. A. M., & Osoro, K. (2013). Application of long-chain alcohols as diet-composition markers in sheep fed on grass-white clover and heather-gorse plant species. Grass & Forage Science. doi:10.1111/gfs.12083.

    Google Scholar 

  • Fievez, V., Van Nevel, C., & Demeyer, D. (2000). Lipolysis and biohydrogenation of PUFA’s from fish oil during in vitro incubations with rumen contents. Proceedings of the Nutrition Society, 59, 193A.

    Article  Google Scholar 

  • Foito, A., Byrne, S. L., Shepherd, T., Stewart, D., & Barth, S. (2009). Transcriptional and metabolic profiles of Lolium perenne L. genotypes in response to a PEG-induced water stress. Plant Biotechnology Journal, 7, 719–732.

    Article  CAS  PubMed  Google Scholar 

  • Fraser, M. D., Theobald, V. J., & Moorby, J. M. (2006). Determining diet composition on complex swards using n-alkanes and long-chain fatty alcohols. Ecological Applications, 16, 1901–1910.

    Article  CAS  PubMed  Google Scholar 

  • Fukushima, A., Kusano, M., Nakamichi, N., et al. (2009). Impact of clock-associated Arabidopsis pseudo-response regulators in metabolic coordination. Proceedings of National Academy of Sciences, 106, 7251–7256.

    Article  CAS  Google Scholar 

  • Gill, G. P., Wilcox, P. L., Whithaker, D. J., et al. (2006). A framework linkage map of perennial ryegrass based on SSR markers. Genome, 49, 354–364.

    Article  CAS  PubMed  Google Scholar 

  • Goodacre, R., Vaidyanatham, S., Dunn, W. B., et al. (2004). Metabolomics by numbers: Acquiring and understanding global metabolite data. Trends in Biotechnology, 22, 245–252.

    Article  CAS  PubMed  Google Scholar 

  • Hargrove, J. L., Greenspan, P., & Hartle, D. K. (2004). Nutritional significance and metabolism of very long chain fatty alcohols and acids from dietary waxes. Experimental Biology and Medicine, 229, 215–226.

    CAS  PubMed  Google Scholar 

  • Hegarty, M., Yadav, R., Lee, M., et al. (2013). Genotyping by RAD sequencing enables mapping of fatty acid composition traits in perennial ryegrass (Lolium perenne (L.)). Plant Biotechnology Journal, 11, 572–581.

    Article  CAS  PubMed  Google Scholar 

  • Holland, J. B., Nyquist, W. E., & Cervantes-Martinez, C. T. (2003). Estimating and interpreting heritability for plant breeding: An update. Plant Breeding Reviews, 22, 9–112.

    Google Scholar 

  • Jones, E. S., Mahoney, N. L., Hayward, M. D., Armstead, I. P., Jones, J. G., Humphreys, M. O., et al. (2002). An enhanced molecular marker based genetic map of perennial ryegrass (Lolium perenne) reveals comparative relationships with other Poaceae genomes. Genome, 45, 282–295.

    Article  CAS  PubMed  Google Scholar 

  • Kearsey, M. J., & Pooni, H. S. (1996). The genetical analysis of quantitative traits. London: Chapman and Hall.

    Book  Google Scholar 

  • Keller, S., Gimmler, F., & Jahreis, G. (2008). Octacosanol administration to humans decreases neutral sterol and bile acid concentration in faeces. Lipids, 43, 109–1015.

    Article  CAS  PubMed  Google Scholar 

  • Keurentjes, J. J. B., Fu, J., Vos, C. H. R., Lommen, A., et al. (2006). The genetics of plant metabolism. Nature Genetics, 38, 842–849.

    Article  CAS  PubMed  Google Scholar 

  • Koulman, A., Cao, M., Faville, M., Lane, G., Mace, W., & Rasmussen, S. (2009). Semi-quantitative and structural metabolic phenotyping by direct infusion ion trap mass spectrometry and its application in genetical metabolomics. Rapid Communications in Mass Spectrometry, 23, 2253–2263.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  • Kumaraswamy, G. K., Bollina, V., Kushalappa, A. C., et al. (2011). Metabolomics technology to phenotype resistance in barley against Gibberella zeae. European Journal of Plant Pathology, 130, 29–43.

    Article  CAS  Google Scholar 

  • Liu, W., Zhou, X., Li, G., et al. (2011). Multiple plant surface signals are sensed by different mechanisms in the rice blast fungus for appressorium formation. PLoS Pathogens. doi:10.1371/journal.ppat.1001261.

    Google Scholar 

  • Lock, A. L., & Bauman, D. E. (2004). Modifying milk fat composition of dairy cows to enhance fatty acids beneficial to human health. Lipids, 39, 1197–1206.

    Article  CAS  PubMed  Google Scholar 

  • Matsuda, F., Okazaki, Y., Oikawa, A., et al. (2012). Dissection of genotype-phenotype associations in rice grains using metabolome quantitative trait loci analysis. Plant Journal, 70, 624–636.

    Article  CAS  PubMed  Google Scholar 

  • McIntyre, G. A. (1955). Design and analysis of two phase experiments. Biometrics, 11, 324–334.

    Article  Google Scholar 

  • Piepho, H. P., & Möhring, J. (2007). Computing heritability and selection response from unbalanced plant breeding trials. Genetics, 177, 1881–1888.

    Article  PubMed Central  PubMed  Google Scholar 

  • Quinones, M. P., & Kaddurah-Daouk, R. (2009). Metabolomics tools for identifying biomarkers for neuropsychiatric diseases. Neurobiology of Diseases, 35, 165–176.

    Article  CAS  Google Scholar 

  • Raes, K., De Smet, S., & Demeyer, D. (2004). Effect of dietary fatty acids on incorporation of long chain polyunsaturated fatty acids and conjugated linoleic acid in lamb, beef and pork meat: A review. Animal Feed Science and Technology, 113, 199–221.

    Article  CAS  Google Scholar 

  • Rasmussen, S., Parsons, A. J., & Jones, C. S. (2012). Metabolomics of forage plants: A review. Annals of Botany, 110, 1281–1290.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  • Riedelsheimer, C., Czedik-Eysenberg, A., Grieder, C., et al. (2012). Genomic and metabolic prediction of complex heterotic traits in hybrid maize. Nature Genetics, 44, 217–220.

    Article  CAS  PubMed  Google Scholar 

  • Ringelmann, A., Riedel, M., Riederer, M., & Hildebrandt, U. (2009). Two sides of a leaf blade: Blumeria graminis needs chemical cues in cuticular waxes of Lolium perenne for germination and differentiation. Planta, 230, 95–105.

    Article  CAS  PubMed  Google Scholar 

  • Schauer, N., Semel, Y., Roessner, U., et al. (2006). Comprehensive metabolic profiling and phenotyping of interspecific introgression lines for tomato improvement. Nature Biotechnology, 24, 447–454.

    Article  CAS  PubMed  Google Scholar 

  • Shepherd, T., & Griffiths, D. W. (2006). The effects of stress on plant cuticular waxes. New Phytologist, 171, 469–499.

    Article  CAS  PubMed  Google Scholar 

  • Smith, A. B., Lim, P., & Cullis, B. R. (2006). The design and analysis of multi-phase plant breeding experiments. Journal of Agricultural Science, 144, 393–409.

    Article  Google Scholar 

  • Smith, A. B., Thompson, R., Butler, D. G., & Cullis, B. R. (2011). The design and analysis of variety trials using mixtures of composite and individual plot samples. Journal of the Royal Statistical Society: Series C, 60, 437–455.

    Article  Google Scholar 

  • Tomaszewski, C., Byrne, S. L., Foito, A., et al. (2012). Genetic linkage mapping in an F2 perennial ryegrass population using DArT markers. Plant Breeding, 131, 345–349.

    Article  CAS  Google Scholar 

  • Turner, L. B., Cairns, A. J., Armstead, I. P., et al. (2006). Dissecting the regulation of fructan metabolism in perennial ryegrass (Lolium perenne) with quantitative trait locus mapping. New Phytologist, 169, 45–58.

    Article  CAS  PubMed  Google Scholar 

  • Van Ooijen, J. W. (2004). MapQTL ® 5, Software for the mapping of quantitative trait loci in experimental populations. Kyazma B.V.: Wageningen.

    Google Scholar 

  • Williams, C. M. (2000). Dietary fatty acids and human health. Annales De Zootechnie, 49, 165–180.

    Article  CAS  Google Scholar 

  • Wood, J. D., Enser, M., Fisher, A. V., Nute, G. R., Sheard, P. R., Richardson, R. I., et al. (2008). Fa deposition, fatty acid composition and meat quality: A review. Meat Science, 78, 343–358.

    Article  CAS  PubMed  Google Scholar 

  • Wood, J. D., Richardson, R. I., Nute, G. R., Fisher, A. V., Campo, M. M., Kasapidou, E., et al. (2003). Effects of fatty acids on meat quality: A review. Meat Science, 66, 21–32.

    Article  Google Scholar 

  • Xiao, J. F., Varghese, R. S., Zhou, B., et al. (2012). LC-MS based serum metabolomics for identification of hepatocellular carcinoma biomarkers in Egyptian cohort. Journal of Proteome Research, 11, 5914–5923.

    PubMed Central  CAS  PubMed  Google Scholar 

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Acknowledgments

We are grateful to the expert help in manually editing metabolite data to Alexandre Gervaise. This study was financed through a Research Stimulus Fund Grant by the Irish Department of Agriculture, Fisheries and Marine (RSF 06-346).

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Correspondence to Susanne Barth.

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Alexandre Foito and Christine Anne Hackett contributed equally to the work.

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Foito, A., Hackett, C.A., Byrne, S.L. et al. Quantitative trait loci analysis to study the genetic regulation of non-polar metabolites in perennial ryegrass. Metabolomics 11, 412–424 (2015). https://doi.org/10.1007/s11306-014-0703-5

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