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Chromosomal Intervals (chromosomal + interval)
Selected AbstractsLinkage and QTL mapping for Sus scrofa chromosome 1JOURNAL OF ANIMAL BREEDING AND GENETICS, Issue 2003P. Beeckmann Summary Linkage maps of Sus scrofa chromosome 1 (SSC1) have been produced using 10 markers in three different F2 families based on crosses of Meishan (M), Pietrain (P) and Wild Boar (W). The maps were similar for the different families and show higher paternal recombination, especially in the interval SW2130,SW803. Quantitative trait loci (QTLs) affecting body conformation, carcass composition, fat deposition and numbers of teats were identified in all three families. Major QTLs were mapped in chromosomal intervals centred at approximately 60, 120 and 170 cM. The QTLs explain up to 8.4% of phenotypic variance in the F2 generation. Pietrain QTL alleles were superior in comparison with Wild Boar and Meishan alleles for most of the trait values. Meishan alleles were associated with highest fat deposition. Additive gene effects were generally larger than dominance effects. QTL profiles on SSC1 differed between families, with the W × P family being most distinct. Zusammenfassung Kopplungskarten für Chromosom 1 (SSC1), die durch die Analyse von 10 Markern erstellt wurden, stimmten in drei untersuchten F2 -Familien (basierend auf Kreuzungen mit Meishan (M), Pietrain (P) und Wildschwein (W)) wie auch mit den bisher publizierten Karten überein. Die geschlechtsspezifischen Karten zeigten eine höhere Frequenz der Rekombinationen in der paternalen Meiose als in der maternalen, besonders im Intervall SW2130 bis SW803. Auf SSC1 konnten bedeutsame QTL-Effekte mit Wirkung auf Wachstum, Schlachtkörperzusammensetzung und Fettansatz sowie die Zitzenzahl in allen drei Familien kartiert werden, insbesondere in den Regionen um 60, 120 und 170 cM. Sie erklärten bis zu 8,4% der phänotypischen Varianz in der F2 -Generation. Pietrain-Allele zeigten positive Auswirkungen auf die meisten Fleischleistungsmerkmale. Meishan-Allele waren mit einer stärkeren Verfettung assoziiert. Es wurden Unterschiede zwischen den QTL-Profilen in den Familien beobachtet, wobei die Familie W × P besonders stark von den QTL-Profilen in den beiden anderen Familien abwich. [source] A genetic linkage map of Vigna vexillataPLANT BREEDING, Issue 4 2005E. A. Ogundiwin Abstract Vigna vexillata is a wild cross-incompatible relative of cowpea. It is highly resistant to several diseases and pests plaguing cowpea. A linkage map was developed for V. vexillata comprising 120 markers, including 70 random amplified polymorphic DNAs, 47 amplified fragment length polymorphisms, one simple sequence repeat and two morphological traits namely, the cowpea mottle carmovirus resistance locus (CPMo V) and leaf shape (La), utilizing an F2 generation of the intra-specific cross Tvnu 1443'× Tvnu 73,. The genetic map comprised 14 linkage groups spanning 1564.1 cM of the genome. Thirty-nine quantitative trait loci (QTLs) associated with nine traits were detected on the linkage map, explaining between 15.62 and 66.58% of their phenotypic variation. Seven chromosomal intervals contained QTLs with effects on multiple traits. [source] Decisive factors: a transcription activator can overcome heterochromatin silencingBIOESSAYS, Issue 9 2001Joel C. Eissenberg Eukaryotes organize certain chromosomal intervals into domains capable of si lencing most genes. Examples of silencing domains include the HML/HMR loci and subtelomeric chromatin in yeast, the Barr body X chromosome in mammals, and the pericentric heterochromatin of Drosophila. Silencing chromatin is often correlated with more regularized nucleosomal array than that found in active chromatin, and transcriptional activators appear to be missing from their target sites in silent chromatin. In Drosophila, gene silencing by heterochromatin is often variegated, indicating that a gene may escape silencing in some cells. In a recent study, Ahmad and Henikoff(1) show that a yeast activator can compete successfully with Drosophila heterochromatic silencing factors for target sites in DNA. This competition, together with developmental change in the stability of heterochromatin itself, decides the transcriptional state for a gene subject to heterochromatin repression. BioEssays 23:767,771, 2001. © 2001 John Wiley & Sons, Inc. [source] Integrated genomic and expression profiling in mantle cell lymphoma: identification of gene-dosage regulated candidate genesBRITISH JOURNAL OF HAEMATOLOGY, Issue 2 2008Margit Schraders Summary Mantle cell lymphoma (MCL) is characterized by the t(11;14)(q13;q32) translocation and several other cytogenetic aberrations, including heterozygous loss of chromosomal arms 1p, 6q, 11q and 13q and/or gains of 3q and 8q. The common intervals of chromosomal imbalance have been narrowed down using array-comparative genomic hybridization (CGH). However, the chromosomal intervals still contain many genes potentially involved in MCL pathogeny. Combined analysis of tiling-resolution array-CGH with gene expression profiling on 11 MCL tumours enabled the identification of genomic alterations and their corresponding gene expression profiles. Only subsets of genes located within given cytogenetic anomaly-intervals showed a concomitant change in mRNA expression level. The genes that showed consistent correlation between DNA copy number and RNA expression levels are likely to be important in MCL pathology. Besides several ,anonymous genes', we also identified various fully annotated genes, whose gene products are involved in cyclic adenosine monophosphate-regulated pathways (PRKACB), DNA damage repair, maintenance of chromosome stability and prevention of rereplication (ATM, ERCC5, FBXO5), energy metabolism (such as genes that are involved in the synthesis of proteins encoded by the mitochondrial genome) and signal transduction (ARHGAP29). Deregulation of these gene products may interfere with the signalling pathways that are involved in MCL tumour development and maintenance. [source] | |||||||||||||