Determination of PRKAG1 coding sequence and mapping of PRKAG1 and PRKAG2 relatively to porcine back fat thickness QTL

Demeure, Olivier; Liaubet, Laurence; Riquet, Juliette; Milan, Denis

doi:10.1111/j.1365-2052.2004.01102.x

Cited by 10 publications

(6 citation statements)

References 12 publications

(13 reference statements)

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“…However, because we have not yet investigated protein levels of the different AMPK subunits, it seems premature to relate differences in transcriptional level to those observed for muscle glycogen content between chicken lines. Regarding the γ1 AMPK subunit, whose gene expression differed between the fat and lean line, it is worthy to note that in pork the gene encoding for it (PRKAG1) is mapped close to a region containing a QTL influencing fatness traits, suggesting possible involvement in the determination of body composition in this species (Demeure et al, 2004). The expression of several genes coding for enzymes involved in the synthesis and degradation of glycogen (Figure 1) were assessed.…”

Section: Discussionmentioning

confidence: 99%

Adenosine monophosphate-activated protein kinase involved in variations of muscle glycogen and breast meat quality between lean and fat chickens1

Sibut

Bihan-Duval

Tesseraud

et al. 2008

Journal of Animal Science

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The present study was aimed at evaluating the molecular mechanisms associated with the differences in muscle glycogen content and breast meat quality between 2 experimental lines of chicken divergently selected on abdominal fatness. The glycogen at death (estimated through the glycolytic potential) of the pectoralis major muscle and the quality of the resulting meat were estimated in the 2 lines. The fat chickens exhibited greater glycolytic potential, and in turn lower ultimate pH than the lean chickens. Consequently, the breast meat of fat birds was paler and less colored (i.e., less red and yellow), and exhibited greater drip loss compared with that of lean birds. In relation to these variations, transcription and activation levels of adenosine monophosphate-activated protein kinase (AMPK) were investigated. The main difference observed between lines was a 3-fold greater level of AMPK activation, evaluated through phosphorylation of AMPKalpha-(Thr(172)), in the muscle of lean birds. At the transcriptional level, data indicated concomitant down- and upregulation for the gamma1 and gamma2 AMPK subunit isoforms, respectively, in the muscle of lean chickens. Transcriptional levels of enzymes directly involved in glycogen turnover were also investigated. Data showed greater gene expression for glycogen synthase, glycogen phosphorylase, and the gamma subunit of phosphorylase kinase in lean birds. Together, these data indicate that selection on body fatness in chicken alters the muscle glycogen turnover and content and consequently the quality traits of the resulting meat. Alterations of AMPK activity could play a key role in these changes.

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Section: Discussionmentioning

confidence: 99%

Adenosine monophosphate-activated protein kinase involved in variations of muscle glycogen and breast meat quality between lean and fat chickens1

Sibut

Bihan-Duval

Tesseraud

et al. 2008

Journal of Animal Science

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“…The nonsignificant putative QTL identified for tenth rib and average backfat thicknesses by sib-pair analysis were located within the same marker interval as the QTL identified by outbred F 2 analysis (Table 5). Demeure et al (2004) reported that the gene encoding for an isoform of AMP-activated protein kinase γ chain, PRKAG2, believed to affect backfat thickness was mapped to SSC 18. The PRKAG2 gene has been mapped to a location with no statistically significant evidence for QTL; however, it is possible that the candidate gene may influence backfat measurements in other populations (Bidanel and Rothschild, 2002).…”

Section: Chromosome 18mentioning

confidence: 99%

Evaluation of approaches to detect quantitative trait loci for growth, carcass, and meat quality on swine chromosomes 2, 6, 13, and 18. I. Univariate outbred F2 and sib-pair analyses1

Stearns

Beever

Southey

et al. 2005

Journal of Animal Science

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Results from univariate outbred F2 interval mapping and sib-pair analyses of 12 growth and 28 carcass traits to identify QTL on SSC 2, 6, 13, and 18 were compared. Phenotypic and genetic data were recorded on a three-generation resource population including 832 F2 pigs from a cross between three Berkshire sires and 18 Duroc dams. Thirty markers with an average spacing of approximately 16 cM were genotyped across the four chromosomes. The outbred F2 mixed model included the effects of sex, birth month, and year, one-QTL additive, dominance and imprinting coefficients calculated every 1 cM using interval mapping, and a random family effect. The general sib-pair model used to describe the phenotypic differences between sib-pairs included the same systematic and random effects and a one-QTL additive coefficient calculated every 1 cM. The outbred F2 analysis found significant evidence of QTL on SSC 2 associated with 105-d weight, backfat thicknesses, LM area, fat percent, shear force, juiciness, marbling, and tenderness. In addition, QTL were identified on SSC 6 relating to 42-d weight and LM area, and on SSC 18 for fat and moisture percents. In most instances, the outbred F2 approach offered greater power to detect QTL; however, the sib-pair analysis offered greater power in several instances. The trait-specific superiority could be due to the relative advantage of each model within a trait data set. The two approaches provided complementary evidence for QTL segregating between the Berkshire and Duroc breeds used in the study that may be used to aid marker-assisted introgression and selection and candidate gene studies to improve swine growth and meat quality characteristics.

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“…However, in this study, the significant associations of E36 with backfat depth traits were mainly observed in live animals (Table 4). This could have occurred if the region harboring the IFRD1 gene contained other genes that affect carcass backfat traits, such as IGFBP3 (insulin-like growth factor binding protein 3) (Wu et al 2002;Wang et al 2009) and PRKAG2 (protein kinase, AMPactivated, gamma 2 non-catalytic subunit) (Demeure et al 2004). …”

Section: Discussionmentioning

confidence: 99%

Association of eight EST-derived SNPs with carcass and meat quality traits in pigs

et al. 2014

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The identification of genetic markers associated with important economic traits is fundamental to improving the productivity and quality of livestock. In this investigation, we searched for 177 expressed sequence tags (ESTs) putatively involved in meat quality from the available pig EST database, and detected eight single nucleotide polymorphisms (SNPs) in eight ESTs. We investigated the associations of these SNPs with 18 carcass and meat quality traits in a Landrace × Lantang F2 resource population (n = 257). Association analysis revealed that seven SNPs (except E42) were associated with some of the carcass- and meat quality-related traits. Particularly, significant associations of three SNPs (E53, E82, and E36) with backfat thickness traits were observed. Further, the genetic effects of E53 on four live backfat thickness traits were validated in an independent population (n = 221). More investigations about E53 sequence characteristics were performed, i.e., radiation hybrid (RH) mapping, 3'-RACE, and screening analysis of the positive BAC clones. Our research identified the genetic effects of eight EST-derived SNPs on carcass and meat quality traits, and suggested that E53 may be a useful marker for live backfat thickness traits in pig breeding programs.

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Determination of PRKAG1 coding sequence and mapping of PRKAG1 and PRKAG2 relatively to porcine back fat thickness QTL

Cited by 10 publications

References 12 publications

Adenosine monophosphate-activated protein kinase involved in variations of muscle glycogen and breast meat quality between lean and fat chickens1

Adenosine monophosphate-activated protein kinase involved in variations of muscle glycogen and breast meat quality between lean and fat chickens1

Evaluation of approaches to detect quantitative trait loci for growth, carcass, and meat quality on swine chromosomes 2, 6, 13, and 18. I. Univariate outbred F2 and sib-pair analyses1

Association of eight EST-derived SNPs with carcass and meat quality traits in pigs

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