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BACKGROUND: The relationship between fibroids and infertility remains an unsolved question, and management of intramural fibroids is controversial. During the implantation phase, uterine peristalsis is dramatically reduced, which is thought to facilitate embryo implantation. Our aims were to evaluate (i) the occurrence and frequency of uterine peristalsis in infertile women with intramural fibroids and (ii) whether the presence of uterine peristalsis decreases the pregnancy rate. [ABSTRACT FROM AUTHOR]

Constructing high-degree gene-pyramided lines has important practical implications; such lines could be used for multiple purposes, for example, as a high-powered breeding stock line, a material line for characterizing multigene interactions, or a market variety as it stands. Effectiveness of two typical marker-based schemes for constructing such lines, named AF (gene assemblage first) and BF (backcross first), is discussed. In AF, target genes of all donor parents are assembled onto the genome of a plant first, followed by backcross generations for the recovery of recipient parent genome. In BF, backcross is performed first separately for each donor, followed by generations of crossing for the assemblage of target genes. Our stochastic calculations show that BF is superior to AF when molecular selection is used for both target genes and background markers; with the same number of generations (time) and cost of genotyping, BF produces a much higher recovery of recurrent parent genome than AF. The superiority of BF weakens somewhat when target genes are selected by phenotype; AF is superior when assembling three or more unlinked target genes, or could be a choice of the breeder when assembling three or more linked genes. Otherwise, BF is superior. To minimize cost, genotyping and selection for background markers should be performed stepwise in each generation, that is, in three or four stages starting from markers closely linked with target genes to unlinked ones. [ABSTRACT FROM AUTHOR]

Reports on the sequences of genes coding for porcine tyrosinase (TYR) and related proteins. Confirmation of TYR and dopachrome tautomerase to chromosomes 9; Detection of single nuclei polymorphism in porcine reference DNA panels; Polymorphism detection in reverse transcriptase polymerase chain reaction.

In this paper, we propose a new Bayesian method for QTL analysis in outbred F2 families based on Markov chain Monte Carlo (MCMC) estimation allowing inference about whether each of F0 founders (grandparents) is homozygous or heterozygous at QTL. This, in turn, allows us to select a model accurately explaining observations of phenotypes for F2 individuals. The proposed method performs the fitting a statistical model of the two possible QTL states in each F0 grandparent, that is, homozygous and heterozygous at QTL, and gives a posterior distribution for the QTL states in each F0 grandparent. We confine ourselves to the discrimination of two QTL states, homozygous or heterozygous, for each of the F0 grandparents without taking into consideration whether common alleles are shared by F0 grandparents. The statistical model includes allelic effects and dominance effects for each QTL. The number of parameters representing allelic effects and dominance effects is therefore changed depending on the QTL states. A Reversible Jump MCMC technique is used for transition between the models of different dimensions. The effectiveness of the proposed method was investigated using simulation experiments. It was practicable to estimate the QTL states of F0 grandparents as well as the number, the locations and the effects of QTL segregating in an outbred F2 family.Heredity (2005) 94, 326-337. doi:10.1038/sj.hdy.6800638 Published online 26 January 2005 [ABSTRACT FROM AUTHOR]

The article discusses the assignment of genes from human chromosome 18 to the porcine. The article discusses several aspects involved in the research including the selection of gene, radiation hybrid mapping and chromosome assignments. The analysis of assignment of genes to porcine using carthagene is also discussed.

Respiratory disease is the most important health concern for the swine industry. Genetic improvement for disease resistance is challenging because of the difficulty in obtaining good phenotypes related with disease resistance; however, identification of genes or markers associated with disease resistance can help in the genetic improvement of pig health. The purpose of our study was to investigate whether quantitative trait loci ( QTL) associated with disease resistance were segregated in a purebred population of Landrace pigs that had been selected for meat production traits and mycoplasmal pneumonia of swine ( MPS) scores over five generations. We analysed 1395 pigs from the base to the fifth generation of this population. Two respiratory disease traits [ MPS scores and atrophic rhinitis ( AR) scores] and 11 immune-capacity traits were measured in 630-1332 animals at 7 weeks of age and when the animal's body weight reached 105 kg. Each of the pigs, except sires in the base population, was genotyped using 109 microsatellite markers, and then, QTL analysis of the full-sib family population with a multi-generational pedigree structure was performed. Variance component analysis was used to detect QTL associated with MPS or AR scores, and the logarithm of odds ( LOD) score and genotypic heritability of the QTL were estimated. Five significant ( LOD > 2.51) and 18 suggestive ( LOD > 1.35) QTL for respiratory disease traits and immune-capacity traits were detected. The significant QTL for Log- MPS score, located on S. scrofa chromosome 2, could explain 87% of the genetic variance of this score in this analysis. This is the first report of QTL associated with respiratory disease lesions. [ABSTRACT FROM AUTHOR]

A genome-wide scan for QTL affecting economically important traits in beef production was performed using an F2 resource family from a Japanese Black × Limousin cross, where 186 F2 animals were measured for growth, carcass, and meat-quality traits. All family members were genotyped for 313 informative microsatellite markers that spanned 2,382 cM of bovine autosomes. The centromeric region of BTA2 contained significant QTL (i.e., exceeding the genomewide 5% threshold) for 5 carcass grading traits [LM area, beef marbling standards (BMS) number, luster, quality grade, and firmness), 8 computer image analysis (CIA) traits [LM lean area, ratio of fat area (RFA) to LM area, LM area, RFA to musculus (M.) trapezius area, M. trapezius lean area, M. semispinalis lean area, RFA to M. semispinalis area, and RFA to M. semispinalis capitis area], and 5 meat quality traits (contents of CP, crude fat, moisture, C16:1, and C18:2 of LM). A significant QTL for withers height was detected at 80.3 cM on BTA5. We detected significant QTL for the C 14:0 content in backfat and C14:0 and C 14:1 content in intermuscular fat around the 62.3 to 71.0 cM region on BTA19 and for C14:0, C14:1, C18:1, and C16:0 content and ratio of total unsaturated fatty acid content to total SFA content in intramuscular fat at 2 different regions on BTA19 (41.1 cM for C14:1 and 62.3 cM for the other 4 traits). Overall, we identified 9 significant QTL regions controlling 27 traits with genomewide significance of 5%; of these, 22 traits exceeded the 1% genome-wide threshold. Some of the QTL affecting meat quality traits detected in this study might be the same QTL as previously reported. The QTL we identified need to be validated in commercial Japanese Black cattle populations. [ABSTRACT FROM AUTHOR]

A large number of significant QTL for economically important traits including average daily gain have been located on SSC1q, which, as shown by chromosome painting, corresponds to four human chromosomes (HSA9, 14, 15 and 18). To provide a comprehensive comparative map for efficient selection of candidate genes, 81 and 34 genes localized on HSA9 and HSA14 respectively were mapped to SSC1q using a porcine 7000-rad radiation hybrid panel (IMpRH). This study, together with the cytogenetic map ( ), demonstrates that SSC1q2.1-q2.13 corresponds to the region ranging from 44.6 to 63.2 Mb on HSA14q21.1-q23.1, the region from 86.5 to 86.8 Mb on HSA15q24-q25, the region from 0.9 to 27.2 Mb on HSA9p24.3-p21, the region from 35.1 to 38.0 Mb on HSA9p13, the region from 70.3 to 79.3 Mb on HSA9q13-q21 and the region from 96.4 to 140.0 Mb on HSA9q22.3-q34. The conserved synteny between HSA9 and SSC1q is interrupted by at least six sites, and the synteny between HSA14 and SSC1q is interrupted by at least one site. [ABSTRACT FROM AUTHOR]

Understanding of the genetic control of female reproductive performance in pigs would offer the opportunity to utilize natural variation and improve selective breeding programs through marker-assisted selection. The Chinese Meishan is one of the most prolific pig breeds known, farrowing 3 to 5 more viable piglets per litter than Western breeds. This difference in prolificacy is attributed to the Meishan's superior prenatal survival. Our study utilized a 3-generation resource population, in which the founder grandparental animals were purebred Meishan and Duroc pigs, in a genome scan for QTL. Grandparent, F1, and F2 animals were genotyped for 180 microsatellite markers. Reproductive traits, including number of corpora lutea (number of animals = 234), number of fetuses per animal (n = 226), number of teats (n = 801), and total number born (n = 288), were recorded for F2 females. Genome- wide significance level thresholds of 1, 5, and 10% were calculated using a permutation approach. We identified 9 QTL for 3 traits at a 10% genome-wise significance level. Parametric interval mapping analysis indicated evidence of a 1% genome-wise significant QTL for corpora lutea on SSC 3. Nonparametric interval mapping for number of teats found 4 significant QTL on chromosomes SSC3 (P < 0.01), SSC7 (P < 0.01), SSC8 (P < 0.01), and SSC12 (P < 0.05). Partial imprinting of a QTL affecting teat number (P < 0.10) was detected on SSC8. Using the likelihood-ratio test for a categorical trait, 2 QTL for pin nipples were detected on SSC2 and SSC16 (P < 0.01). Fine mapping of the QTL regions will be required for their application to introgression programs and gene cloning. [ABSTRACT FROM AUTHOR]

Pear scab (caused by Venturia nashicola) is one of the most harmful diseases of pears, especially Japanese and Chinese pear species. The molecular identification and early selection of resistant plants could greatly improve pear breeding. We have identified the position of the scab resistance gene, designated Vnk in an indigenous Japanese pear cultivar Kinchaku, within the pear genome by using simple sequence repeat (SSR) markers derived from pear and apple. The position of Vnk was identified in the central region of linkage group 1 of Kinchaku. Several amplified fragment length polymorphism (AFLP) markers linked to Vnk were obtained by bulked segregant analysis. Among them, the AFLP marker closest to Vnk was converted into a sequence tagged site (STS) marker. Four random amplified polymorphic DNA (RAPD) markers previously found to be loosely associated with Vnk (Iketani et al. ) were successfully converted into STS markers. Six markers (one SSR Hi02c07 and five STSs converted from AFLP and RAPD) showed tight linkages to Vnk, being mapped with distances ranging from 2.4 to 12.4 cM. The SSR CH-Vf2, which was isolated from a BAC clone of the contig containing the apple scab gene Vf, was mapped at the bottom of linkage group 1 in Kinchaku, suggesting that the Vnk and Vf loci are located in different genomic regions of the same homologous linkage group. [ABSTRACT FROM AUTHOR]

We previously mapped a locus for porcine intramuscular fat content (IMF) by linkage analysis to a 17.1-cM chromosome interval on Sus scrofa chromosome 7 (SSC7) flanked by microsatellite markers SW1083 and SW581. In this study, we identified 34 microsatellite markers and 14 STSs from the 17.1-cM IMF quantitative trait loci (QTL) region corresponding to HSA14q and aligned those loci using the INRA-University of Minnesota porcine radiation hybrid (IMpRH) panel. We then constructed a 5.2-Mb porcine bacterial artificial chromosome (BAC) contig of this region that was aligned using the RH panel. Finally, the IMF QTL was fine-mapped to 12.6 cM between SJ169 and MM70 at the 0.1% chromosome-wise significance level by genotyping the previously studied F2 resource family with 17 additional microsatellites. We also demonstrated that the SJ169– MM70 interval spans approximately 3.0 Mb and contains at least 12 genes: GALC, GPR65, KCNK10, SPATA7, PTPN21, FLJ11806, EML5, TTC8, CHES1, CAP2P1, CHORDC2P and C14orf143. [ABSTRACT FROM AUTHOR]