Estimation of genetic diversity of Brassica germplasm provides the basis for rapeseed/mustard genetic improvement. Studies were undertaken to estimate the genetic diversity of 30 lines of Brassica napus using Randomly Amplified Polymorphic DNA (RAPD) primers. A total of 30 B. napus genotypes of local and exotic origin were characterized using molecular markers. Four RAPD primers were used to estimate the genetic distances among the genotypes in all the possible combinations. The genetic diversity study revealed different levels of genetic polymorphism for RAPD primers GLA05, GLA07, GLA09 and GLA 10, resulting in amplification of 5.7, 3.5, 3.1 and 5.4 scorable bands (loci) per genotype, respectively. Individual genetic distances observed among B. napus genotypes ranged from 6.5 to 51%. Bivariate data matrix was generated and genetic distances were calculated using Unweighted Pair Group of Arithmetic Mean (UPGMA) procedure. The UPGMA cluster analyses revealed maximum genetic dissimilarity for 8966-1 and 8969-1 genotypes, closely followed by Ganyou-5, 89127-1, 89111-2 and Mlep-048. It is recommended that among the thirty B. napus genotypes, genetically distinct lines pointed out in the present study, should be used in future breeding programs for improvement of Brassica napus.
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http://dx.doi.org/10.3923/pjbs.2007.2490.2494 | DOI Listing |
Brief Bioinform
November 2024
Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.
This study aimed to investigate the genetic association between glioblastoma (GBM) and unsupervised deep learning-derived imaging phenotypes (UDIPs). We employed a combination of genome-wide association study (GWAS) data, single-nucleus RNA sequencing (snRNA-seq), and scPagwas (pathway-based polygenic regression framework) methods to explore the genetic links between UDIPs and GBM. Two-sample Mendelian randomization analyses were conducted to identify causal relationships between UDIPs and GBM.
View Article and Find Full Text PDFBrief Bioinform
November 2024
Department of Biology, University of Padova, Via U.Bassi 58/ B, 35131, Italy.
Shallow whole-genome sequencing (sWGS) offers a cost-effective approach to detect copy number alterations (CNAs). However, there remains a gap for a standardized workflow specifically designed for sWGS analysis. To address this need, in this work we present SAMURAI, a bioinformatics pipeline specifically designed for analyzing CNAs from sWGS data in a standardized and reproducible manner.
View Article and Find Full Text PDFSci Transl Med
January 2025
Graduate Program in Human Genetics, University of Miami Miller School of Medicine, 1501 NW 10th Avenue (M-860), Miami, FL 33136, USA.
Primary mitochondrial disorders are most often caused by deleterious mutations in the mitochondrial DNA (mtDNA). Here, we used a mitochondrial DddA-derived cytosine base editor (DdCBE) to introduce a compensatory edit in a mouse model that carries the pathological mutation in the mitochondrial transfer RNA (tRNA) alanine (mt-tRNA) gene. Because the original m.
View Article and Find Full Text PDFPLoS One
January 2025
Faculty of Sciences and Technology (FAST), Laboratory of Biology and Molecular Typing in Microbiology (LBTMM), University of Abomey-Calavi, Atlantic, Benin.
Background: Antiretroviral treatment increases the risk of accumulation of resistance mutations that negatively impact the possibilities of future treatment. This study aimed to present the frequency of HIV-1 antiretroviral resistance mutations and the genetic diversity among children with virological failure in five pediatric care facilities in Benin.
Methods: A cross-sectional study was carried out from November 20, 2020, to November 30, 2022, in children under 15 years of age who failed ongoing antiretroviral treatment at five facilities care in Benin (VL > 3log10 on two consecutive realizations three months apart).
PLoS Biol
January 2025
Department of Molecular Biology, Massachusetts General Hospital, Boston, Massachusetts, United States of America.
RNA interference (RNAi) mediates antiviral defense in many eukaryotes. Caenorhabditis elegans mutants that disable RNAi are more sensitive to viral infection. Many mutants that enhance RNAi have also been identified; these mutations may reveal genes that are normally down-regulated in antiviral defense.
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