Identification of QTL with effects on intramuscular fat content and fatty acid composition in a Duroc × Large White cross

Sanchez, Marie-Pierre; Iannuccelli, Nathalie; Basso, B.; Bidanel, Jean Pierre; Billon, Yvon; Gandemer, G.; Gilbert, Hélène; Larzul, Catherine; Legault, Christian; Riquet, Juliette; Milan, Denis; Roy, Pascale Le

doi:10.1186/1471-2156-8-55

Cited by 59 publications

(53 citation statements)

References 33 publications

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“…However, the same authors have also located several small QTL with reduced individual effects afterwards. In Duroc pig population, Sanchez et al (2007) further indicated that the putative major gene corresponded in fact to two QTL.…”

Section: Genetic and Genomic Markers Of Imf Contentmentioning

confidence: 93%

“…Considerable efforts have been made during the past decades to identify quantitative trait loci (QTL) for IMF (de Koning et al, 1999 andSanchez et al, 2007; Finally, the existence of a major gene with a great effect on IMF content has been postulated by segregation analysis (Janss et al, 1997). The gene, named MI, has a recessive allele (imf) that increases IMF content and originates from the Chinese Meishan pig breed.…”

Section: Genetic and Genomic Markers Of Imf Contentmentioning

confidence: 99%

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Intramuscular fat content in meat-producing animals: development, genetic and nutritional control, and identification of putative markers

Hocquette

Gondret

Baéza³

et al. 2010

Animal

637

447

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Intramuscular fat (IMF) content plays a key role in various quality traits of meat. IMF content varies between species, between breeds and between muscle types in the same breed. Other factors are involved in the variation of IMF content in animals, including gender, age and feeding. Variability in IMF content is mainly linked to the number and size of intramuscular adipocytes. The accretion rate of IMF depends on the muscle growth rate. For instance, animals having a high muscularity with a high glycolytic activity display a reduced development of IMF. This suggests that muscle cells and adipocytes interplay during growth. In addition, early events that influence adipogenesis inside the muscle (i.e proliferation and differentiation of adipose cells, the connective structure embedding adipocytes) might be involved in interindividual differences in IMF content. Increasing muscularity will also dilute the final fat content of muscle. At the metabolic level, IMF content results from the balance between uptake, synthesis and degradation of triacylglycerols, which involve many metabolic pathways in both adipocytes and myofibres. Various experiments revealed an association between IMF level and the muscle content in adipocyte-type fatty acid-binding protein, the activities of oxidative enzymes, or the delta-6-desaturase level; however, other studies failed to confirm such relationships. This might be due to the importance of fatty acid fluxes that is likely to be responsible for variability in IMF content during the postnatal period rather than the control of one single pathway. This is evident in the muscle of most fish species in which triacylglycerol synthesis is almost zero. Genetic approaches for increasing IMF have been focused on live animal ultrasound to derive estimated breeding values. More recently, efforts have concentrated on discovering DNA markers that change the distribution of fat in the body (i.e. towards IMF at the expense of the carcass fatness). Thanks to the exhaustive nature of genomics (transcriptomics and proteomics), our knowledge on fat accumulation in muscles is now being underpinned. Metabolic specificities of intramuscular adipocytes have also been demonstrated, as compared to other depots. Nutritional manipulation of IMF independently from body fat depots has proved to be more difficult to achieve than genetic strategies to have lipid deposition dependent of adipose tissue location. In addition, the biological mechanisms that explain the variability of IMF content differ between genetic and nutritional factors. The nutritional regulation of IMF also differs between ruminants, monogastrics and fish due to their digestive and nutritional particularities.

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Section: Genetic and Genomic Markers Of Imf Contentmentioning

confidence: 93%

Section: Genetic and Genomic Markers Of Imf Contentmentioning

confidence: 99%

Intramuscular fat content in meat-producing animals: development, genetic and nutritional control, and identification of putative markers

Hocquette

Gondret

Baéza³

et al. 2010

Animal

637

447

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“…The average distance between adjacent markers was 24.6 cM on the sexaveraged map (see Sanchez et al (2007) for the genetic map). One to six F1 boars were heterozygous (4.4 in average) for the 91 microsatellite markers.…”

Section: Molecular Analysesmentioning

confidence: 99%

“…Stress hormone levels, which have been found to be related to meat quality in the F2 population (Foury et al, 2005), and major production traits were also measured. The F2 Duroc 3 Large White population has already allowed detecting QTL for intramuscular fat content and fatty acid composition in the longissimus dorsi muscle (Sanchez et al, 2007). In this study, we investigated the QTL for other meat quality criteria, stress hormone levels and the main growth and carcass traits.…”

Section: Introductionmentioning

confidence: 99%

Microsatellite mapping of quantitative trait loci affecting meat quality, stress hormones and production traits in Duroc × Large White F2 pigs

Sanchez

Iannuccelli

Basso

et al. 2011

Animal

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An F2 cross between Duroc and Large White pigs was carried out in order to detect quantitative trait loci (QTL) for 11 meat quality traits (L*, a* and b* Minolta coordinates and water-holding capacity (WHC) of two ham muscles, ultimate pH of two ham and one loin muscles), 13 production traits (birth weight, average daily gain during post-weaning and fattening periods, carcass fat depths at three locations, estimated lean meat content, carcass length and weights of five carcass cuts) and three stress hormone-level traits (cortisol, adrenaline and noradrenaline). Animals from the three generations of the experimental design (including 456 F2 pigs) were genotyped for 91 microsatellite markers covering all the autosomes. A total of 56 QTL were detected: 49 reached the chromosome-wide level (suggestive QTL with a maximal probability of 0.05) and seven were significant at the genome-wide level (with a probability varying from 6 3 10 24 to 3 3 10 23 ). Twenty suggestive QTL were identified for ultimate pH, colour measurements and WHC on chromosome (SSC) 5, 6, 7, 8, 9, 11, 13, 14, 15 and 17. For production traits, 33 QTL were detected on all autosomes except SSC6, 8 and 9. Seven of these QTL, located on SSC2, 3, 10, 13, 16 and 17, exceeded the genome-wide significance threshold. Finally, three QTL were identified for levels of stress hormones: a QTL for cortisol level on SSC7 in the cortisol-binding globulin gene region, a QTL for adrenaline level on SSC10 and a QTL for noradrenaline level on SSC13. Among all the detected QTL, seven are described for the first time: a QTL for ultimate pH measurement on SSC5, two QTL affecting birth weight on SSC2 and 10, two QTL for growth rate on SSC15 (during fattening) and 17 (during post-weaning) and two QTL affecting the adrenaline and noradrenaline levels. For each QTL, only one to five of the six F1 sires were found to be heterozygous. It means that all QTL are segregating in at least one of the founder populations used in this study. These results suggest that both meat quality and production traits can be improved in purebred Duroc and Large White pigs through markerassisted selection. It is of particular interest for meat quality traits, which are difficult to include in classical selection programmes.

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“…Quantitative trait locus analysis has indicated that the fatty acid composition of livestock species is regulated by many potential candidate genes with small effects (Taylor et al, 1998;Sanchez et al, 2007;Abe et al, 2008). Additionally, differential expression of adipogenic factors is known to play a key role in regulating multiple responsive pathways involved in fat development and lipid metabolism in cattle adipocytes .…”

Section: Other Genes Associated With Fatty Acid Compositionmentioning

confidence: 99%

Genes Associated with Fatty Acid Composition of Beef

Mannen

2012

FSTR

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Identification of QTL with effects on intramuscular fat content and fatty acid composition in a Duroc × Large White cross

Cited by 59 publications

References 33 publications

Intramuscular fat content in meat-producing animals: development, genetic and nutritional control, and identification of putative markers

Intramuscular fat content in meat-producing animals: development, genetic and nutritional control, and identification of putative markers

Microsatellite mapping of quantitative trait loci affecting meat quality, stress hormones and production traits in Duroc × Large White F2 pigs

Genes Associated with Fatty Acid Composition of Beef

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