15 research outputs found
Genome-wide linkage analysis of QTL for growth and body composition employing the PorcineSNP60 BeadChip
[EN] Background: The traditional strategy to map QTL is to use linkage analysis employing a limited number of markers. These analyses report wide QTL confidence intervals, making very difficult to identify the gene and polymorphisms underlying the QTL effects. The arrival of genome-wide panels of SNPs makes available thousands of markers increasing the information content and therefore the likelihood of detecting and fine mapping QTL regions. The aims of the current study are to confirm previous QTL regions for growth and body composition traits in different generations of an Iberian x Landrace intercross (IBMAP) and especially identify new ones with narrow confidence intervals by employing the PorcineSNP60 BeadChip in linkage analyses.
Results: Three generations (F3, Backcross 1 and Backcross 2) of the IBMAP and their related animals were genotyped with PorcineSNP60 BeadChip. A total of 8,417 SNPs equidistantly distributed across autosomes were selected after filtering by quality, position and frequency to perform the QTL scan. The joint and separate analyses of the different IBMAP generations allowed confirming QTL regions previously identified in chromosomes 4 and 6 as well as new ones mainly for backfat thickness in chromosomes 4, 5, 11, 14 and 17 and shoulder weight in chromosomes 1, 2, 9 and 13; and many other to the chromosome-wide signification level. In addition, most of the detected QTLs displayed narrow confidence intervals, making easier the selection of positional candidate genes.
Conclusions: The use of higher density of markers has allowed to confirm results obtained in previous QTL scans carried out with microsatellites. Moreover several new QTL regions have been now identified in regions probably not covered by markers in previous scans, most of these QTLs displayed narrow confidence intervals. Finally, prominent putative biological and positional candidate genes underlying those QTL effects are listed based on recent porcine genome annotation.This work was funded by MICINN projects AGL2008-04818-C03/GAN and CSD2007-00036. DPM was funded by a FPI Ph.D grant from the Spanish Ministerio de Educacion (BES-2009-025417). YR was funded by a FPU Ph.D grant from the Spanish Ministerio de Educacion (AP2008-01450). We want to thanks to Dr. Martien Groenen (Wageningen, NL) for the SNP annotation on porcine genome assembly, to Anna Mercade for her technical assistance with the SNPs genotyping and to Rita Benitez and Fabian Garcia for technical support.Fernández, A.; Pérez-Montarelo, D.; Barragan, C.; Ramayo-Caldas, Y.; Ibáñez-Escriche, N.; Castelló, A.; Noguera, J.... (2012). Genome-wide linkage analysis of QTL for growth and body composition employing the PorcineSNP60 BeadChip. BMC Genetics. 13:1-11. https://doi.org/10.1186/1471-2156-13-41S11113Van Laere, A.-S., Nguyen, M., Braunschweig, M., Nezer, C., Collette, C., Moreau, L., … Andersson, L. (2003). A regulatory mutation in IGF2 causes a major QTL effect on muscle growth in the pig. Nature, 425(6960), 832-836. doi:10.1038/nature02064John, S., Shephard, N., Liu, G., Zeggini, E., Cao, M., Chen, W., … Kennedy, G. C. (2004). Whole-Genome Scan, in a Complex Disease, Using 11,245 Single-Nucleotide Polymorphisms: Comparison with Microsatellites. The American Journal of Human Genetics, 75(1), 54-64. doi:10.1086/422195Mercadé, A., Estellé, J., Noguera, J. L., Folch, J. M., Varona, L., Silió, L., … Pérez-Enciso, M. (2005). On growth, fatness, and form: A further look at porcine Chromosome 4 in an Iberian × Landrace cross. Mammalian Genome, 16(5), 374-382. doi:10.1007/s00335-004-2447-4Óvilo, C., Pérez-Enciso, M., Barragán, C., Clop, A., Rodríguez, C., Oliver, M. A., … Noguera, J. L. (2000). A QTL for intramuscular fat and backfat thickness is located on porcine Chromosome 6. Mammalian Genome, 11(4), 344-346. doi:10.1007/s003350010065Cristina, Ó., Oliver, A., Noguera, J. L., Clop, A., Barragán, C., Varona, L., … Silió, L. (2002). Test for positional candidate genes for body composition on pig chromosome 6. Genetics Selection Evolution, 34(4). doi:10.1186/1297-9686-34-4-465ÓVILO, C., FERNÁNDEZ, A., NOGUERA, J. L., BARRAGÁN, C., LETÓN, R., RODRÍGUEZ, C., … TORO, M. (2005). Fine mapping of porcine chromosome 6 QTL and LEPR effects on body composition in multiple generations of an Iberian by Landrace intercross. Genetical Research, 85(1), 57-67. doi:10.1017/s0016672305007330Óvilo, C., Fernández, A., Fernández, A. I., Folch, J. M., Varona, L., Benítez, R., … Silió, L. (2010). Hypothalamic expression of porcine leptin receptor (LEPR), neuropeptide Y (NPY), and cocaine- and amphetamine-regulated transcript (CART) genes is influenced by LEPR genotype. Mammalian Genome, 21(11-12), 583-591. doi:10.1007/s00335-010-9307-1Estellé, J., Fernández, A. I., Pérez-Enciso, M., Fernández, A., Rodríguez, C., Sánchez, A., … Folch, J. M. (2009). A non-synonymous mutation in a conserved site of theMTTPgene is strongly associated with protein activity and fatty acid profile in pigs. Animal Genetics, 40(6), 813-820. doi:10.1111/j.1365-2052.2009.01922.xEstellé, J., Pérez-Enciso, M., Mercadé, A., Varona, L., Alves, E., Sánchez, A., & Folch, J. M. (2006). Characterization of the porcine FABP5 gene and its association with the FAT1 QTL in an Iberian by Landrace cross. Animal Genetics, 37(6), 589-591. doi:10.1111/j.1365-2052.2006.01535.xMercadé, A., Pérez-Enciso, M., Varona, L., Alves, E., Noguera, J. L., Sánchez, A., & Folch, J. M. (2006). Adipocyte fatty-acid binding protein is closely associated to the porcine FAT1 locus on chromosome 41. Journal of Animal Science, 84(11), 2907-2913. doi:10.2527/jas.2005-663Evans, D. M., & Cardon, L. R. (2004). Guidelines for Genotyping in Genomewide Linkage Studies: Single-Nucleotide–Polymorphism Maps Versus Microsatellite Maps. The American Journal of Human Genetics, 75(4), 687-692. doi:10.1086/424696Gonzalez-Neira, A., Rosa-Rosa, J., Osorio, A., Gonzalez, E., Southey, M., Sinilnikova, O., … Benitez, J. (2007). Genomewide high-density SNP linkage analysis of non-BRCA1/2 breast cancer families identifies various candidate regions and has greater power than microsatellite studies. BMC Genomics, 8(1), 299. doi:10.1186/1471-2164-8-299Chioza, B. A., Aicardi, J., Aschauer, H., Brouwer, O., Callenbach, P., Covanis, A., … Everett, K. V. (2009). Genome wide high density SNP-based linkage analysis of childhood absence epilepsy identifies a susceptibility locus on chromosome 3p23-p14. Epilepsy Research, 87(2-3), 247-255. doi:10.1016/j.eplepsyres.2009.09.010Ramos, A. M., Crooijmans, R. P. M. A., Affara, N. A., Amaral, A. J., Archibald, A. L., Beever, J. E., … Groenen, M. A. M. (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(8), e6524. doi:10.1371/journal.pone.0006524Purcell, S., Neale, B., Todd-Brown, K., Thomas, L., Ferreira, M. A. R., Bender, D., … Sham, P. C. (2007). PLINK: A Tool Set for Whole-Genome Association and Population-Based Linkage Analyses. The American Journal of Human Genetics, 81(3), 559-575. doi:10.1086/519795Barrett, J. C., Fry, B., Maller, J., & Daly, M. J. (2004). Haploview: analysis and visualization of LD and haplotype maps. Bioinformatics, 21(2), 263-265. doi:10.1093/bioinformatics/bth457Andersson, L., Haley, C., Ellegren, H., Knott, S., Johansson, M., Andersson, K., … et, al. (1994). Genetic mapping of quantitative trait loci for growth and fatness in pigs. Science, 263(5154), 1771-1774. doi:10.1126/science.8134840Marklund, L., Nyström, P.-E., Stern, S., Andersson-Eklund, L., & Andersson, L. (1999). Confirmed quantitative trait loci for fatness and growth on pig chromosome 4. Heredity, 82(2), 134-141. doi:10.1038/sj.hdy.6884630Fan, B., Onteru, S. K., Du, Z.-Q., Garrick, D. J., Stalder, K. J., & Rothschild, M. F. (2011). Genome-Wide Association Study Identifies Loci for Body Composition and Structural Soundness Traits in Pigs. PLoS ONE, 6(2), e14726. doi:10.1371/journal.pone.0014726Bidanel, J.-P., Milan, D., Iannuccelli, N., Amigues, Y., Boscher, M.-Y., Bourgeois, F., … Chevalet, C. (2001). Detection of quantitative trait loci for growth and fatness in pigs. Genetics Selection Evolution, 33(3). doi:10.1186/1297-9686-33-3-289Geldermann, H., Čepica, S., Stratil, A., Bartenschlager, H., & Preuss, S. (2010). Genome-wide mapping of Quantitative Trait Loci for fatness, fat cell characteristics and fat metabolism in three porcine F2 crosses. Genetics Selection Evolution, 42(1). doi:10.1186/1297-9686-42-31Quintanilla, R., Milan, D., & Bidanel, J.-P. (2002). A further look at quantitative trait loci affecting growth and fatness in a cross between Meishan and Large White pig populations. Genetics Selection Evolution, 34(2), 193. doi:10.1186/1297-9686-34-2-193Sławińska, A., Siwek, M., Knol, E. F., Roelofs-Prins, D. T., van Wijk, H. J., Dibbits, B., & Bednarczyk, M. (2009). Validation of the QTL on SSC4 for meat and carcass quality traits in a commercial crossbred pig population. Journal of Animal Breeding and Genetics, 126(1), 43-51. doi:10.1111/j.1439-0388.2008.00753.xMilan, D., Bidanel, J.-P., Iannuccelli, N., Riquet, J., Amigues, Y., Gruand, J., … Chevalet, C. (2002). Detection of quantitative trait loci for carcass composition traits in pigs. Genetics Selection Evolution, 34(6), 705. doi:10.1186/1297-9686-34-6-705Guo, T., Ren, J., Yang, K., Ma, J., Zhang, Z., & Huang, L. (2009). Quantitative trait loci for fatty acid composition in longissimus dorsi and abdominal fat: results from a White Duroc × Erhualian intercross F2population. Animal Genetics, 40(2), 185-191. doi:10.1111/j.1365-2052.2008.01819.xLiu, G., Kim, J. J., Jonas, E., Wimmers, K., Ponsuksili, S., Murani, E., … Schellander, K. (2008). Combined line-cross and half-sib QTL analysis in Duroc–Pietrain population. Mammalian Genome, 19(6), 429-438. doi:10.1007/s00335-008-9132-yKIM, C. W., HONG, Y. H., YUN, S.-I., LEE, S.-R., KIM, Y. H., KIM, M.-S., … CHANG, K.-T. (2006). Use of Microsatellite Markers to Detect Quantitative Trait Loci in Yorkshire Pigs. Journal of Reproduction and Development, 52(2), 229-237. doi:10.1262/jrd.17046Liu, G., Jennen, D. G. J., Tholen, E., Juengst, H., Kleinwächter, T., Hölker, M., … Wimmers, K. (2007). A genome scan reveals QTL for growth, fatness, leanness and meat quality in a Duroc-Pietrain resource population. Animal Genetics, 38(3), 241-252. doi:10.1111/j.1365-2052.2007.01592.xXu, X. L., Xu, X. W., Pan, P. W., Li, K., Jiang, Z. H., Yu, M., … Liu, B. (2009). Porcine skeletal muscle differentially expressed geneCMYA1: isolation, characterization, mapping, expression and association analysis with carcass traits. Animal Genetics, 40(3), 255-261. doi:10.1111/j.1365-2052.2008.01825.xRamos, A. M., Bastiaansen, J. W. M., Plastow, G. S., & Rothschild, M. F. (2009). Genes located on a SSC17 meat quality QTL region are associated with growth in outbred pig populations. Animal Genetics, 40(5), 774-778. doi:10.1111/j.1365-2052.2009.01907.xRusso, V., Fontanesi, L., Scotti, E., Beretti, F., Davoli, R., Nanni Costa, L., … Buttazzoni, L. (2008). Single nucleotide polymorphisms in several porcine cathepsin genes are associated with growth, carcass, and production traits in Italian Large White pigs1. Journal of Animal Science, 86(12), 3300-3314. doi:10.2527/jas.2008-0920Tsai, F.-J., Yang, C.-F., Chen, C.-C., Chuang, L.-M., Lu, C.-H., Chang, C.-T., … Wu, J.-Y. (2010). A Genome-Wide Association Study Identifies Susceptibility Variants for Type 2 Diabetes in Han Chinese. PLoS Genetics, 6(2), e1000847. doi:10.1371/journal.pgen.1000847Silva, K. M., Bastiaansen, J. W. M., Knol, E. F., Merks, J. W. M., Lopes, P. S., Guimarães, S. E. F., & van Arendonk, J. A. M. (2010). Meta-analysis of results from quantitative trait loci mapping studies on pig chromosome 4. Animal Genetics, 42(3), 280-292. doi:10.1111/j.1365-2052.2010.02145.xFontanesi, L., Scotti, E., Buttazzoni, L., Dall’Olio, S., Davoli, R., & Russo, V. (2009). A single nucleotide polymorphism in the porcine cathepsin K (CTSK) gene is associated with back fat thickness and production traits in Italian Duroc pigs. Molecular Biology Reports, 37(1), 491-495. doi:10.1007/s11033-009-9678-0Ojeda, A., Estellé, J., Folch, J. M., & Pérez-Enciso, M. (2008). Nucleotide variability and linkage disequilibrium patterns at the porcineFABP5gene. Animal Genetics, 39(5), 468-473. doi:10.1111/j.1365-2052.2008.01752.xHan, S.-H., Shin, K.-Y., Lee, S.-S., Ko, M.-S., Jeong, D. K., Oh, H.-S., … Cho, I.-C. (2009). SINE indel polymorphism of AGL gene and association with growth and carcass traits in Landrace × Jeju black pig F2 population. Molecular Biology Reports, 37(1), 467-471. doi:10.1007/s11033-009-9644-xYamauchi, T., Kamon, J., Ito, Y., Tsuchida, A., Yokomizo, T., Kita, S., … Kadowaki, T. (2003). Cloning of adiponectin receptors that mediate antidiabetic metabolic effects. Nature, 423(6941), 762-769. doi:10.1038/nature01705Grundberg, E., Brandstrom, H., Ribom, E., Ljunggren, O., Mallmin, H., & Kindmark, A. (2004). Genetic variation in the human vitamin D receptor is associated with muscle strength, fat mass and body weight in Swedish women. European Journal of Endocrinology, 323-328. doi:10.1530/eje.0.1500323Muñoz, G., Alcázar, E., Fernández, A., Barragán, C., Carrasco, A., de Pedro, E., … Rodríguez, M. C. (2011). Effects of porcine MC4R and LEPR polymorphisms, gender and Duroc sire line on economic traits in Duroc×Iberian crossbred pigs. Meat Science, 88(1), 169-173. doi:10.1016/j.meatsci.2010.12.018Krzęcio, E., Koćwin-Podsiadła, M., Kurył, J., Zybert, A., Sieczkowska, H., & Antosik, K. (2008). The effect of interaction between genotype CAST/RsaI (calpastatin) and MYOG/MspI (myogenin) on carcass and meat quality in pigs free of RYR1T allele. Meat Science, 80(4), 1106-1115. doi:10.1016/j.meatsci.2008.05.002Wyszyńska-Koko, J., Pierzchała, M., Flisikowski, K., Kamyczek, M., Różycki, M., & Kurył, J. (2006). Polymorphisms in coding and regulatory regions of the porcineMYF6 andMYOG genes and expression of theMYF6 gene inm. longissimus dorsi versus productive traits in pigs. Journal of Applied Genetics, 47(2), 131-138. doi:10.1007/bf03194612IKEDA, T., KANAZAWA, T., OTSUKA, S., ICHII, O., HASHIMOTO, Y., & KON, Y. (2009). Expression of Caspase Family and Muscle- and Apoptosis-Specific Genes during Skeletal Myogenesis in Mouse Embryo. Journal of Veterinary Medical Science, 71(9), 1161-1168. doi:10.1292/jvms.71.1161Lin, Z., Lou, Y., & Squires, E. J. (2006). Functional polymorphism in porcine CYP2E1 gene: Its association with skatole levels. The Journal of Steroid Biochemistry and Molecular Biology, 99(4-5), 231-237. doi:10.1016/j.jsbmb.2005.07.001Aubert, J., Begriche, K., Knockaert, L., Robin, M. A., & Fromenty, B. (2011). Increased expression of cytochrome P450 2E1 in nonalcoholic fatty liver disease: Mechanisms and pathophysiological role. Clinics and Research in Hepatology and Gastroenterology, 35(10), 630-637. doi:10.1016/j.clinre.2011.04.015Latreille, M., Laberge, M.-K., Bourret, G., Yamani, L., & Larose, L. (2011). Deletion of Nck1 attenuates hepatic ER stress signaling and improves glucose tolerance and insulin signaling in liver of obese mice. American Journal of Physiology-Endocrinology and Metabolism, 300(3), E423-E434. doi:10.1152/ajpendo.00088.2010Akerfeldt, M. C., & Laybutt, D. R. (2011). Inhibition of Id1 Augments Insulin Secretion and Protects Against High-Fat Diet-Induced Glucose Intolerance. Diabetes, 60(10), 2506-2514. doi:10.2337/db11-008
Haplotypic diversity of porcine LEP and LEPR genes involved in growth and fatness regulation
The analysis of structural genetic variability in candidate genes can make it possible to analyse the selection footprint and deepen the understanding of the genetic basis of complex traits. The leptin (LEP) and its receptor (LEPR) porcine genes are involved in food intake and energy homeostasis, and polymorphisms associated to growth and fatness traits have been detected in both genes. The main objective of this study was to explore the genetic variability of the most polymorphic regions of both genes in a variety of pig populations and wild boars from diverse European and Asian origins. In total, 54 animals were included in the analyses, with a remarkable sampling of Spanish wild boars and Iberian pigs. The sequencing allowed the identification of 69 and 26 polymorphisms in LEP and LEPR genes, respectively. Neighbour-joining trees built for the 69 haplotypes identified in the LEP and the 24 haplotypes detected in the LEPR showed the known genetic divergence between European and Asian pig breeds. A high variability of the LEP was detected in the different analysed populations providing new data for the existence of two domestication centres in Asia. In comparison to the LEP gene, the LEPR showed a lower variability, especially in the Iberian breed that showed no variability. Moreover, results of the Hudson-Kreitman-Aguadé neutrality test support a possible selection event of the LEPR gene region in this breed, potentially related with its leptin resistance pattern and good adaptation to a traditional extensive production system with strong seasonal changes of feeding resources. © 2015, Institute of Plant Genetics, Polish Academy of Sciences, Poznan
Identification of mitochondrial markers for genetic traceability of European wild boars and Iberian and Duroc pigs
Iberian pigs and wild boars are the source of highly priced meat and dry-cured products. Iberian maternal origin is mandatory for labeled Iberian products, making necessary the authentication of their maternal breed origin. Discrimination between wild and domestic pig maternal origin may be useful to distinguish labeled wild boar meat obtained from hunting or farming. In order to detect useful polymorphisms to trace Iberian, Duroc and wild boar maternal lineages, we herein investigated the complete porcine mitochondrial DNA (mtDNA) using three complementary approaches. Near-complete mtDNA sequences (16989 bp), excluding the minisatellite present in the displacement loop region (D-loop), were successfully determined in six Iberian pigs, two Duroc and six European wild boars. To complete the mtDNA analysis, the D-loop minisatellite region was also analyzed in the same set of samples by amplification and capillary electrophoresis detection. Finally, the frequencies of Asian and European Cytochrome B (Cyt B) haplotypes were estimated in Iberian (n = 96) and Duroc (n = 125) breeds. Comparison of near-complete mtDNA sequences revealed a total of 57 substitutions and two Indels. Out of them, 32 polymorphisms were potential Iberian markers, 10 potential Duroc markers and 16 potential wild boar markers. Fourteen potential markers (five Iberian and nine Duroc), were selected to be genotyped in 96 Iberian and 91 Duroc samples. Five wild boar potential markers were selected and tested in samples of wild boars (73) and domestic pigs including 96 Iberian, 16 Duroc, 16 Large White and 16 Landrace. Genotyping results showed three linked markers (m.7998C>T, m.9111T>C, m.14719A>G) absent in Duroc and present in Iberian pigs with a frequency 0.72. Six markers (m.8158C>T, m.8297T>C, m.9230G>A, m.11859A>G, m.13955T>C, m.16933T>C), three of them linked, were absent in Iberian pigs and present in Duroc with a joint frequency of almost 0.50. Finally three linked markers (m.7188G>A, m.9224T>C, m.15823A>G) were solely detected in wild boars with a frequency 0.22. The D-loop minisatellite results showed overlapping ranges of fragment sizes and suggested heteroplasmy, a result that nullify the use of this region for the development of breed diagnostic markers. The Cyt B haplotype results showed the presence of European haplotypes in Iberian while one of the Asian haplotypes was detected in Duroc with a frequency 0.22, linked to the Duroc marker m.9230G>A. Our results are valuable to resolve the problems of Iberian and wild boar maternal origin determination but additional markers are required to achieve totally useful genetic tests. © The Animal Consortium 2009
Impact of Staphylococcus aureus phenotype and genotype on the clinical characteristics and outcome of infective endocarditis. A multicentre, longitudinal, prospective, observational study.
We aimed to evaluate the impact of Staphylococcus aureus phenotype (vancomycin MIC) and genotype (agr group, clonal complex CC) on the prognosis and clinical characteristics of infective endocarditis (IE). We performed a multicentre, longitudinal, prospective, observational study (June 2013 to March 2016) in 15 Spanish hospitals. Two hundred and thirteen consecutive adults (≥18 years) with a definite diagnosis of S. aureus IE were included. Primary outcome was death during hospital stay. Main secondary end points were persistent bacteraemia, sepsis/septic shock, peripheral embolism and osteoarticular involvement. Overall in-hospital mortality was 37% (n = 72). Independent risk factors for death were age-adjusted Charlson co-morbidity index (OR 1.20; 95% CI 1.08-1.34), congestive heart failure (OR 3.60; 95% CI 1.72-7.50), symptomatic central nervous system complication (OR 3.17; 95% CI 1.41-7.11) and severe sepsis/septic shock (OR 4.41; 95% CI 2.18-8.96). In the subgroup of methicillin-susceptible S. aureus IE (n = 173), independent risk factors for death were the age-adjusted Charlson co-morbidity index (OR 1.17; 95% CI 1.03-1.31), congestive heart failure (OR 3.39; 95% CI 1.51-7.64), new conduction abnormality (OR 4.42; 95% CI 1.27-15.34), severe sepsis/septic shock (OR 5.76; 95% CI 2.57-12.89) and agr group III (OR 0.27; 0.10-0.75). Vancomycin MIC ≥1.5 mg/L was not independently associated with death during hospital nor was it related to secondary end points. No other genotype variables were independently associated with in-hospital death. This is the first prospective study to assess the impact of S. aureus phenotype and genotype. Phenotype and genotype provided no additional predictive value beyond conventional clinical characteristics. No evidence was found to justify therapeutic decisions based on vancomycin MIC for either methicillin-resistant or methicillin-susceptible S. aureus