Deep-seeding tolerant seeds can emerge from deep soil where the moisture is suitable for seed germination. Breeding deep-seeding tolerant cultivars is becoming increasingly important in arid and semi-arid regions. To dissect the quantitative trait loci (QTL) controlling deep-seeding tolerance traits, we selected a tolerant maize inbred line 3681-4 and crossed it with the elite inbred line-X178 to generate an F(2) population and the derivative F(2:3) families. A molecular linkage map composed of 179 molecular markers was constructed, and 25 QTL were detected including 10 QTL for sowing at 10 cm depth and 15 QTL for sowing at 20 cm depth. The QTL analysis results confirmed that deep-seeding tolerance was mainly caused by mesocotyl elongation and also revealed considerable overlap among QTL for different traits. To confirm a major QTL on chromosome 10 for mesocotyl length measured at 20 cm depth, we selected and self-pollinated a BC(3)F(2) plant that was heterozygous at the markers around the target QTL and homozygous at other QTL to generate a BC(3)F(3) population. We found that this QTL explained more phenotypic variance in the BC(3)F(3) population than that in the F(2) population, which laid the foundation for fine mapping and NIL (near-isogenic line) construction.
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http://dx.doi.org/10.1007/s00122-011-1700-y | DOI Listing |
Theor Appl Genet
January 2025
College of Agronomy, Hebei Agricultural University, Baoding, 071000, Hebei, China.
Wheat (Triticum aestivum L.) is one of the most important cereal crops, with its grain serving as a predominant staple food source on a global scale. However, there are many biotic and abiotic stresses challenging the stability of wheat production.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Ace Alzheimer Center Barcelona - International University of Catalunya (UIC), Barcelona, Spain.
Background: Alzheimer's Disease (AD) is a complex disorder and much of its etiopathology is still unknown. Here, we applied dimensionality reduction methods to disentangle cyptic patterns in CSF proteomic and lipidomic data.
Method: We studied 1121 CSF samples using targeted lipidomics based on liquid chromatography (LC)-MS/MS (mass spectrometry), generated by Lipometrix (Lueven, Belgium), and proteomic data generated by Somalogic (Boulder, Colorado) using the SOMAscan 7k Assay.
Alzheimers Dement
December 2024
Radboud University Medical Center, Nijmegen, Gelderland, Netherlands.
Background: Commissural tracts are the white matter fibre bundles intercommunicating left and right brain hemispheres. They integrate many cognitive functions such as memory, verbal processing, motor and perceptual skills. Also, commissures connect specific layers of cortical neurons that are also lost in Alzheimer's disease (AD) and other neurodegenerative disorders.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University, New York, NY, USA.
Background: Multi-omics integration can clarify molecular mechanisms contributing to Alzheimer's Disease (AD). We conducted a quantitative trait locus (QTL) analysis across three omics layers to identify genetic variants that regulate metabolomics, gene expression, and DNA methylation in AD.
Method: We analyzed data from Caribbean Hispanic individuals from the Dominican Republic and New York with AD or family history of AD including: N = 750 with whole genome sequencing (WGS), RNA-sequencing, and DNA methylation (in blood), and N = 272 with untargeted metabolomics.
Alzheimers Dement
December 2024
NeuroGenomics & Informatics Center, Washington University School of Medicine, St. Louis, MO, USA.
Background: Cerebrospinal fluid (CSF) is a valuable resource for the study and diagnosis of neurological diseases, but few studies have comprehensively characterized the genetic determinants of CSF protein levels that may contribute to the development of disease. These quantitative trait loci (QTL) have proven vital to identifying candidate genes for disease treatment and monitoring. Here, we utilize our largest-to-date CSF protein QTL atlas to prioritize potentially causal proteins for 14 neurological traits and examine the unique and overlapping disease mechanisms observed using CSF proteins.
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