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1

Association of POU1F1/RsaI genotypes with carcass traits in pigs

100%
Kuryl J., Pierzchala P. M., Pierzchala M.
Journal of Applied Genetics
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2001
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vol. 42
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issue 3
309-316
EN
The objective of this study was to evaluate an association between the polymorphism of the porcine pituitary-specific transcription factor gene (POU1F1, previously called PIT1) and carcass quality in F2 animals (grandparents: Zlotnicka Spotted boars and Polish Large White sows) being a part of experimental material prepared for a QTL mapping project. The analysis covered a total of 188 F2 offspring of 13 males and 67 females (F1 generation). The RsaI PCR/RFLP polymorphism of the POU1F1 gene was identified and the least squares method was used to evaluate the significance of its effect on the value of carcass quality traits. Three POU1F1/RsaI genotypes were identified in F2 porkers: EE (n=32), EF (n=68) and FF (n=88). Twenty-four carcass quality traits were measured after 24 h of cooling. The POU1F1/RsaI genotype proved to have a significant effect on the following traits: weight of ham bone and bacon including ribs, fat thickness at the lower back (point K3), over the loin, and average fat thickness (mean of five measurements). These results confirm that the POU1F1 gene may be linked to the gene/genes affecting fat deposition in the pig carcass. Moreover, pigs with the EE genotype had a greater loin eye area and showed a higher meat weight and content of carcass than animals of both EF and FF genotypes (unsignificant association), which suggests that a further study is necessary to confirm or exclude the effect of the POU1F1 gene on these traits.
2

Divergent selection for skeletal malformations in chickens alters polymorphism at microsatellite loci

88%
Wardecka B., Jaszczak K., Pierzchala M., Parada R., Korczak M.
Journal of Applied Genetics
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2004
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vol. 45
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issue 1
61-71
EN
The objective of this study was to determine microsatellite polymorphism in Rhode Island Red (RIR) and Sussex (SX) chickens, divergently selected over six generations for high (H) or low (L) incidence of skeletal defects in embryos (30.7% for H lines, 3.7% for L lines). The polymorphism analysis covered 15 microsatellite markers within four lines (a total of 60 individuals). Eight alleles were identified as specific to H lines and six alleles as specific to L lines. The selection for skeletal malformation appears to have affected the frequency of microsatellite alleles. The experimental material examined constitutes a valuable source for identification of real genes causing skeletal defects.
3

Evaluation of reference genes for studies of gene expression in the bovine liver, kidney, pituitary, and thyroid

88%
Lisowski P., Pierzchala M., Goscik J., Pareek C. S., Zwierzchowski L.
Journal of Applied Genetics
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2008
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vol. 49
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issue 4
367-372
EN
Expression patterns of candidate genes with important functions in animal metabolism can help to identify potential molecular markers for cattle production traits. Reverse transcription followed by polymerase chain reaction is a method for rapid and accurate mRNA quantification. However, for exact comparison of mRNA quantity in various samples or tissues, it is important to choose appropriate reference genes. In cattle, little information is available on the expression stability of housekeeping genes (HKGs). The aim of the present study is to develop a set of reference genes that can be used for normalization of concentrations of mRNAs of genes expressed in the bovine liver, kidney, pituitary and thyroid. The study was performed on 6-, 9-, and 12-month-old bulls of dairy and meat cattle breeds. Six HKGs were investigated: ACTB, GAPDH, HPRTI, SDHA, TBP, and YWHAZ. The most stably expressed potential reference HKGs differed among tissues/organs examined: ACTB, TBP, YWHAZ, GAPDH, HPRTI, and SDHA in the liver; GAPDH and YWHAZ in the kidney; GAPDH and SDHA in the pituitary; and TBP and HPRTI in the thyroid. The results showed that the use of a single gene for normalization may lead to relatively large errors, so it is important to use multiple control genes based on a survey of potential reference genes applied to representative samples from specific experimental conditions.
4

Polymorphism of the porcine growth hormone gene and its linkage to hormone gene and its linkage to microsatellites S0083 and S0090

76%
Korwin-Kossakowska A., Pierzchala M., Kuryl J., Zwierzchowski L., Cymerowska-Prokopczyk I., SiadkowskaE.
Journal of Applied Genetics
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1999
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vol. 40
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issue 2
85-91
EN
Polymorphism of microsatellites S0083 and S0090 as well as of the second exon and second intron of the pGH (porcine growth hormone) gene was determined for 293 pedigrees obtained from crossing of 12 F1 (Zlotnicka Spotted x Polish Large White) boars with 64 F1 (Zlotnicka Spotted x Polish Large White) sows, experimental material arranged for a QTL mapping project. Microsatellites were genotyped by capillary electrophoresis of PCR products in an ABI PRISM 310 Genetic Analyser PERKIN-ELMER. The PCR-RFLP polymorphism of the GH gene was identified using HaeII and MspI restriction endonucleases. The following order of linked loci was established: GH-S0083-S0090. This is important information for the mapping of QTLs on chromosome 12.
5

Relationship between microsatellite marker alleles on chromosomes 1-5 originating from the Rhode Island Red and Green-legged Partrigenous breeds and egg production and quality traits in F2 mapping population

76%
Wardecka B., Olszewski R., Jaszczak K., Zieba G., Pierzchala M., Wicinska K.
Journal of Applied Genetics
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2002
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vol. 43
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issue 3
319-329
EN
The objective of this study was to determine the relationship between the origin of marker alleles from the Rhode Island Red (RIR) and Green-legged Partrigenous (GlP) breeds and chosen egg production and quality traits in F2 generation consisting of 10 full-sib families. Polymorphism analysis of 23 microsatellite markers within the mapping population (519 F2) was made. In parental generation 17 alleles were identified as specific for the GlP and 23 for the RIR. The least squares method was used to evaluate the significance of effects of genotype (GlP/GlP, RIR/RIR, GlP/RIR) on the analysed quantitative traits. Thirty traits of egg production and quality were measured during the laying period. It was shown that the effects of the genotype (GlP/GlP, RIR/RIR, GlP/RIR) at the loci on analysed traits of F2 animals were diversified. Significant effects were found for 16 traits. These results confirm that the analysed microsatellite loci may be linked to the genes affecting egg production and quality traits. The loci examined and the experimental population constitutes a valuable material for QTL mapping (linkage analysis).
6

Polymorphisms in coding and regulatory regions of the porcine MYF6 and MYOG genes and expression of the MYF6 gene in m. longissimus dorsi versus productive traits in pigs

76%
Wyszynska-Koko J., Pierzchala M., Flisikowski K., Kamyczek M., Rozycki M., Kuryl J.
Journal of Applied Genetics
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2006
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vol. 47
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issue 2
131-138
EN
MYOG and MYF6 belong to the MyoD gene family. They code for the bHLH transcription factors playing a key role in later stages of myogenesis: differentiation and maturation of myotubes. Three SNPs in porcine MYF6 and two in porcine MYOG were analysed in order to establish associations with chosen carcass quality and growth rate traits in Polish Landrace, Polish Large White and line 990 sows. No statistically significant effect of SNP in the promoter region of the MYF6 gene on its expression measured on mRNA level was found. Associations between the genotype at the MYF6 locus and carcass quality traits appeared to be breed-dependent. The C allele in the case of SNP in the promoter region and GC haplotype in exon 1 were advantageous for right carcass side weight in Polish Landrace sows and disadvantageous for this trait in Polish Large White sows. These gene variants were also the most advantageous for loin and ham weight in sows of line 990. The mutation in exon 1 of the MYOG gene had no statistically significant association with carcass quality traits and the mutation in the 3'-flanking region had the breed-dependent effect as well. These results suggest that SNPs analysed in this study are not causative mutations, but can be considered as markers of some other, still unrevealed genetic polymorphism that influences the physiological processes and phenotypic traits considered in this study.
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