English yew (Taxus baccata L., Taxaceae), a Tertiary relict, provides a seminal example of a widespread albeit locally endangered (often close to extinction) tree species. In order to gain detailed insights into the evolutionary dynamics of the species on a broad geographical scale, over 1000 trees from 91 populations of English yew in the western Mediterranean were analyzed using seven nuclear microsatellite markers. Our results revealed contrasting patterns of genetic structure at different spatial scales: genetic variation was highly structured at the local scale, while only a low proportion of the observed variation was attributed to regional differences. We also found a geographic gradient of decreasing diversity and increasing population divergence from northwest (central Europe and northern Iberian Peninsula) to southeast (Mediterranean Iberia and North Africa). The patterns revealed in this study probably reflect the combined effects of Quaternary climatic changes and recent impact of human activities, and potentially also more ancient events dating back to the Tertiary. Both climatic and anthropogenic factors seem to have conducted to a long history of population isolation, which may have contributed significantly to enhance population divergence through restricted gene flow and genetic drift.
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http://dx.doi.org/10.1016/j.ympev.2010.03.001 | DOI Listing |
Extremophiles
January 2025
Microbiology Laboratory, Department of Botany (DST-FIST and UGC-DRS Funded), Institute of Science, Visva-Bharati (A Central University), Santiniketan, West Bengal, 731235, India.
To fish-out novel salt-tolerance genes, metagenomic DNA of moderately saline sediments of India's largest hypersaline Sambhar Lake was cloned in fosmid. Two functionally-picked clones helped the Escherichia coli host to tolerate 0.6 M NaCl.
View Article and Find Full Text PDFMol Biol Rep
January 2025
Division of Animal Genetics, ICAR-Indian Veterinary Research Institute (ICAR-IVRI), Izatnagar, Bareilly 243 122, Uttar Pradesh, India.
Background: Litter size in mice is an important fitness and economic feature that is controlled by several genes and influenced by non-genetic factors too. High positive selection pressure in each generation for Litter size at birth (LSB), resulted in the development of high and low prolific lines of inbred Swiss albino mice (SAM). Despite uniform management conditions, these lines showed variability in LSB across the generation.
View Article and Find Full Text PDFAppl Microbiol Biotechnol
January 2025
Department of Frontier Science for Advanced Environment, Graduate School of Environmental Studies, Tohoku University, Sendai, Japan.
RNA viruses have high genetic diversity, allowing rapid adaptation to environmental pressures, such as disinfection. This diversity increases the likelihood of mutations influencing the viral sensitivity to disinfectants. Ethanol is widely used to control viral transmission; however, insufficient disinfection facilitates the survival of less-sensitive viruses.
View Article and Find Full Text PDFPlant Cell
December 2024
Shenzhen Research Institute, State Key Laboratory for Crop Stress Resistance and High-Efficiency Production/Shaanxi Key Laboratory of Apple, College of Horticulture, Northwest A&F University, Yangling 712100, China.
A complex regulatory network governs fruit ripening, but natural variations and functional differentiation of fruit ripening genes remain largely unknown. Utilizing a genome-wide association study (GWAS), we identified the NAC family transcription factor MdNAC18.1, whose expression is closely associated with fruit ripening in apple (Malus × domestica Borkh.
View Article and Find Full Text PDFAnn Med
December 2025
Central Laboratory, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Background: Despite surgical and intravesical chemotherapy interventions, non-muscle invasive bladder cancer (NMIBC) poses a high risk of recurrence, which significantly impacts patient survival. Traditional clinical characteristics alone are inadequate for accurately assessing the risk of NMIBC recurrence, necessitating the development of novel predictive tools.
Methods: We analyzed microarray data of NMIBC samples obtained from the ArrayExpress and GEO databases.
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