, commonly known as the button mushroom, is widely cultivated throughout the world. To breed new strains with more desirable traits and improved adaptability, diverse germplasm, including wild accessions, is a valuable genetic resource. To better understand the genetic diversity available in and identify previously unknown diversity within accessions, a phylogenetic analysis of 360 spp. accessions using single-nucleotide polymorphism genotyping was performed. Genetic relationships were compared using principal coordinate analysis (PCoA) among accessions with known origins and accessions with limited collection data. The accessions clustered into four groups based on the PCoA with regard to genetic relationships. A subset of 67 strains, which comprised a core collection where repetitive and uninformative accessions were not included, clustered into 7 groups following analysis. Two of the 170 accessions with limited collection data were identified as wild germplasm. The core collection allowed for the accurate analysis of genetic relationships, and accessions with an unknown pedigree were effectively grouped, allowing for origin identification, by PCoA analysis in this study.
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http://dx.doi.org/10.1080/12298093.2020.1850172 | DOI Listing |
J Health Popul Nutr
January 2025
Department of Nutrition and Dietetics, Faculty of Health Sciences, Mersin University, 33000, Mersin, Turkey.
Background: Food neophobia, characterized by the fear of unfamiliar foods, can be influenced by environmental, cultural, and genetic factors, leading to decreased consumption of novel or diverse foods. Understanding the impact of Mediterranean diet adherence and eating disorders on dietary behaviors is crucial, particularly for young adults who are developing lifelong eating patterns.
Methods: The aim of this study was to investigate the relationships among food neophobia, Mediterranean diet adherence, and eating disorders in university students aged 18-24 years.
Reprod Biol Endocrinol
January 2025
Department of Clinical Psychology and Psychotherapy, University of Zurich, Binzmühlestrasse 14, Zurich, 8050, Switzerland.
Background: Despite the growing use of social egg freezing (SEF), research focusing on its psychological aspects is lacking. This study aimed to investigate possible psychological predictors, reasons, and outcomes of SEF in German-speaking countries.
Methods: The cross-sectional study included 1,131 women (average age 31 years) who had never used medical egg freezing.
BMC Public Health
January 2025
Department of Endocrinology, China-Japan Friendship Hospital, No.2 Yinghuayuan East Street, Hepingli, Chaoyang District, 100029, Beijing, China.
Background: The prevalence of type 2 diabetes (T2D) and asthma is rising, yet evidence regarding the relationship between T2D and asthma, particularly in the context of genetic predispositions, remains limited.
Methods: This study utilized data from the UK Biobank longitudinal cohort, involving 388,775 participants. A polygenic risk score (PRS) for asthma was derived from genome-wide association studies summary.
J Mol Neurosci
January 2025
Bio-Med Big Data Center, CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China.
Alzheimer's disease (AD) is a neurodegenerative disease with no effective treatment, often preceded by mild cognitive impairment (MCI). Multimodal imaging genetics integrates imaging and genetic data to gain a deeper understanding of disease progression and individual variations. This study focuses on exploring the mechanisms that drive the transition from normal cognition to MCI and ultimately to AD.
View Article and Find Full Text PDFNat Methods
January 2025
Statistical Center for Single-Cell and Spatial Genomics, Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Spatial molecular profiling has provided biomedical researchers valuable opportunities to better understand the relationship between cellular localization and tissue function. Effectively modeling multimodal spatial omics data is crucial for understanding tissue complexity and underlying biology. Furthermore, improvements in spatial resolution have led to the advent of technologies that can generate spatial molecular data with subcellular resolution, requiring the development of computationally efficient methods that can handle the resulting large-scale datasets.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!