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A A Paszek

Publications and source records attributed to A A Paszek.

7 recordsLinked to original sources

Interval mapping of growth in divergent swine cross.

A genomic scan of 18 swine autosomal chromosomes was constructed with 119 polymorphic microsatellite (ms) markers to identify quantitative trait loci (QTL) for 11 growth traits in the University of Illinois Meishan x Yorkshire Swine Resource Family. A significant QTL effect was found for post-weaning average daily gain (ADG) between 5.5 and 56 kg of body weight that mapped between markers SW373 and SW1301 near the telomere of Chromosome (Chr) 1 q (SSC1). This QTL effect had a nominal (pointwise) p-value of 0.000007, a genome wide p-value of 0.012, and accounted for 26% of the F2 phenotypic variance. The same chromosome region also had significant effects on ADG between birth and 56 kg body weight (p-value =. 000227), and on ADG between 35 and 56 kg (p-value =.00077). These observations suggest that a significant QTL for post-weaning growth resides on SSC1.

Animals↗

A genomic scan of porcine reproductive traits reveals possible quantitative trait loci (QTLs) for number of corpora lutea.

Reproductive traits have low heritabilities, are expressed in only one sex, and are not measurable until sexual maturity (Avalos and Smith, Anim Prod 44:153, 1987). Using traditional methods, selection for reproductive traits is relatively less effective than selecting for growth or carcass traits. Traits most affected by a small number of genes with major effects rather than many genes with small effects are most amenable to MAS. As part of our porcine genome scan to identify quantitative trait loci (QTLs) of economic importance in marker-assisted selective (MAS) breeding programs, we examined 8 reproductive and farrowing traits in the University of Illinois (UI) Meishan x Yorkshire Resource Family. Gilts were genotyped with 119 microsatellite markers (MS) with intervals averaging 24 cM over all 18 porcine autosomes. F-ratios supporting QTL location were calculated by the least squares regression method. Results suggestive of linkage at the 5% genome-wide level were observed for the number of stillborn piglets on Chromosome (Chr) 4 (SSC4) (p-value = 0.0001), corpora lutea on SSC8 (p-value = 0.00027), and gestation length on SSC9 (p-value = 0.00019). Results for additional loci relevant to litter size, number of corpora lutea on SSC15 and 7 (p-value = 0.0029 and 0.0028 at 107 and 150 cM, respectively), gestation length on SSC15 and 1 (p-value = 0.0017 and 0.0069 at 96 and 166 cM, respectively), uterine length on SSC7 and 5 (p-value = 0.0044 and 0.0075 at 148 and 1 cM, respectively) and piglets born per litter on SSC6 (p-value = 0.0075 at 102 cM), were not statistically significant at the 5% genome-wide level. Thus, the use of a linked marker to facilitate selection for reproductive traits has considerable potential. By using linked markers, selection can be applied to both sexes before sexual maturity, making genetic selection considerably more efficient and less costly.

Animals↗

Standardization and conversion of marker polymorphism measures.

Large scale gene mapping efforts in domestic animals have generated and mapped a large number of genetic markers that are useful for mapping quantitative trait and disease loci and for DNA diagnostic purposes such as parentage testing. Marker polymorphism is an important criterion for selecting genetic markers in planning experiment for mapping quantitative trait loci or for DNA diagnostic purposes. Current formulations of marker polymorphism measures are functions of marker allele frequencies. In this study, two measures of marker polymorphism that are available from gene mapping studies and do not require allele frequencies were proposed and analyzed: the observed polymorphic information content (PIC) and the observed family information content (FIC). The observed FIC was more stable than the observed PIC because the observed FIC is unaffected by the variation in the frequency of heterozygous parents. However, both FIC and PIC are dependent on the gene mapping design. The effective number of alleles is recommended as a tool to standardize marker polymorphism measures so that polymorphism of different markers can be compared on an equal basis, and to obtain a new polymorphism measure (such an exclusion probability) from an existing measure (such as FIC). The usage of the effective number of alleles to standardize FIC, PIC and exclusion probabilities is illustrated using genetic markers in a published linkage map.

Animals↗

Evaluating evolutionary divergence with microsatellites.

We report the use of microsatellites (MS) to track the recent evolution of swine. Allelic frequencies for nine MS loci linked on swine chromosome 6 (SSC6) representing four western and one Chinese swine breeds were used to estimate genetic distances and times of breed divergence. A phylogenetic tree was constructed which partitioned into western and Meishan breed branches. Yorkshire and Hampshire breeds exhibited the most recent divergence with a calculated distance of 391 years. The oldest divergence, of 2,227 years, was between Meishan and Hampshire swine. Estimates of breed divergence are consistent with historical records. Additional analysis suggests that polymorphic MS linked on a single chromosome are sufficient to determine evolutionary relationships within a single species.

Animals↗

Livestock variation of linked microsatellite markers in diverse swine breeds.

A panel of nine framework microsatellites (MS) linked to the Calcium Release Channel (CRC) locus on swine chromosome 6 (SSC6) was developed from the consensus genetic map. MS were screened across groups of unrelated animals from Yorkshire, Hampshire, Duroc, Landrace and Meishan swine breeds. Unique MS alleles for Yorkshire, Duroc, Landrace and Meishan breeds, and statistically significant (P < .05) associations between breeds and allele frequencies were found for each MS. Although breed marker heterozygosities ranged from 0.0 (S0035 in Duroc) to 0.92 (S0087 in Meishan), Correspondence Analysis identified MS alleles uniquely associated with either the Meishan breed, western breeds or alleles common to all breeds. Furthermore, an overall marker heterozygosity of < 0.70 demonstrates the need for multiple MS panels to accommodate reduced within-breed differences for identification of quantitative trait loci (QTL), marker assisted selection (MAS) programs or parental identification in commercial breeds.

Alleles↗

First international workshop on porcine chromosome 6. Report and abstracts.

Recent advances in the use of microsatellite markers and the development of comparative gene mapping techniques have made the construction of high resolution genetic maps of livestock species possible. Framework and comprehensive genetic linkage maps of porcine chromosome 6 have resulted from the first international effort to integrate genetic maps from multiple laboratories. Eleven highly polymorphic genetic markers were exchanged and mapped by four independent laboratories on a total of 583 animals derived from four reference populations. The chromosome 6 framework map consists of 10 markers ordered with high local support. The average marker interval of the framework map is 15.1 cM (sex averaged). The framework map is 135, 175 and 109 cM in length (for sex averaged, female and male maps, respectively). The comprehensive map includes a total of 48 type I and type II markers with a sex averaged interval of 3.5 cM and is 166, 196 and 126 cM (for sex averaged, female and male maps, respectively). Additional markers within framework map marker intervals can thus be selected from the comprehensive map for further analysis of quantitive trait loci (QTL) located on chromosome 6. The resulting maps of swine chromosome 6 provide a valuable tool for analysing and locating QTL.

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