98%
921
2 minutes
20
Background: The present availability of sequence data gives new opportunities to narrow down from QTL (quantitative trait locus) regions to causative mutations. Our objective was to decrease the number of candidate causative mutations in a QTL region. For this, a concordance analysis was applied for a leg conformation trait in dairy cattle. Several QTL were detected for which the QTL status (homozygous or heterozygous for the QTL) was inferred for each individual. Subsequently, the inferred QTL status was used in a concordance analysis to reduce the number of candidate mutations.
Methods: Twenty QTL for rear leg set side view were mapped using Bayes C. Marker effects estimated during QTL mapping were used to infer the QTL status for each individual. Subsequently, polymorphisms present in the QTL regions were extracted from the whole-genome sequences of 71 Holstein bulls. Only polymorphisms for which the status was concordant with the QTL status were kept as candidate causative mutations.
Results: QTL status could be inferred for 15 of the 20 QTL. The number of concordant polymorphisms differed between QTL and depended on the number of QTL statuses that could be inferred and the linkage disequilibrium in the QTL region. For some QTL, the concordance analysis was efficient and narrowed down to a limited number of candidate mutations located in one or two genes, while for other QTL a large number of genes contained concordant polymorphisms.
Conclusions: For regions for which the concordance analysis could be performed, we were able to reduce the number of candidate mutations. For part of the QTL, the concordant analyses narrowed QTL regions down to a limited number of genes, of which some are known for their role in limb or skeletal development in humans and mice. Mutations in these genes are good candidates for QTN (quantitative trait nucleotides) influencing rear leg set side view.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4046048 | PMC |
http://dx.doi.org/10.1186/1297-9686-46-31 | DOI Listing |
Plant Cell Rep
September 2025
Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding/Key Laboratory of Plant Functional Genomics of the Ministry of Education/Jiangsu Key Laboratory of Crop Genetics and Physiology, College of Agriculture, Yangzhou University, Yangzhou, 225009, China.
Plasma membrane Gγ protein MGG4, the candidate for maize yield QTL, positively regulates seed size mainly through affecting kernel width.
View Article and Find Full Text PDFEMBO J
September 2025
School of Life and Environmental Sciences, Faculty of Science, The University of Sydney, Sydney, NSW, Australia.
Insulin resistance is a heritable risk factor for many chronic diseases; however, the genetic drivers remain elusive. In seeking these, we performed genetic mapping of insulin sensitivity in 670 chow-fed Diversity Outbred in Australia (DOz) mice and identified a genome-wide significant locus (QTL) on chromosome 8 encompassing 17 defensin genes. By taking a systems genetics approach, we identified alpha-defensin 26 (Defa26) as the causal gene in this region.
View Article and Find Full Text PDFPlant Genome
September 2025
Agriculture Victoria, Centre for AgriBioscience, AgriBio, Bundoora, Victoria, Australia.
Global wheat (Triticum aestivum L.) production faces significant challenges due to the destructive nature of leaf (Puccinia triticina; leaf rust [Lr]), stem (Puccinia graminis; stem rust [Sr]), and stripe (Puccinia striiformis; stripe rust [Yr]) rust diseases. Despite ongoing efforts to develop resistant varieties, these diseases remain a persistent challenge due to their highly evolving nature.
View Article and Find Full Text PDFBrain Behav
September 2025
Department of Thoracic Surgery II, Department of Lung Transplantation, Organ Transplantation Center, the First Hospital of Jilin University, Changchun, China.
Background: Ischemic stroke (IS) treatment remains a significant challenge. This study aimed to identify potential druggable genes for IS using a systematic druggable genome-wide Mendelian Randomization (MR) analysis.
Methods: Two-sample MR analysis was conducted to identify the causal association between potential druggable genes and IS.
Plant Mol Biol
September 2025
Institute of Biological Chemistry, The Washington State University, Pullman, WA, 99164, USA.
Legumes are essential for agriculture and food security. Biotic and abiotic stresses pose significant challenges to legume production, lowering productivity levels. Most legumes must be genetically improved by introducing alleles that give pest and disease resistance, abiotic stress adaptability, and high yield potential.
View Article and Find Full Text PDF