AI Article Synopsis
- The study found a significant correlation between genetic distances and geographic distances among various Eskimo and Chuckchie populations in Asia and Alaska, with a correlation coefficient of 0.650.
- Among five coast Chuckchie subpopulations, there was an even stronger correlation (r = 0.871), showing that genetic variations align closely with geographic separations.
- These results suggest that ecological factors may play a role in shaping the genetic structure of these populations and subpopulations.
Article Abstract
Significant correlation of genetic distances (estimated for 17 polymorphic loci) between populations of Asia and Alaska Eskimos, coast and reindeer chuckchies, Kamchatka koryaks and Chuckotka even with geographic distances (r = 0.650; P less than 0.01) is shown. Also, significant correlation of genetic and geographic distances between 5 coast chuckchies subpopulations have been revealed (r = 0.871; P less than 0.001). The findings can indicate some ecological conditionality of population and subpopulation genetic structure's features.
Download full-text PDF |
Source |
|---|
Publication Analysis
Top Keywords
Similar Publications
Genetic diversity and population structure studies of West African sweetpotato [Ipomoea batatas (L.) Lam] collection using DArTseq.
PLoS One
January 2025
Department of Crop Production and Landscape Management, Ebonyi State University, Abakaliki, Nigeria.
Background: Sweetpotato is a vegetatively propagated crop cultivated worldwide, predominantly in developing countries, valued for its adaptability, short growth cycle, and high productivity per unit land area. In most sub-Saharan African (SSA) countries, it is widely grown by smallholder farmers. Niger, Nigeria, and Benin have a huge diversity of sweetpotato accessions whose potential has not fully been explored to date.
View Article and Find Full Text PDFHuman Footprint and Forest Disturbance Reduce Space Use of Brown Bears (Ursus arctos) Across Europe.
Glob Chang Biol
January 2025
Biotechnical Faculty, Department of Biology, University of Ljubljana, Ljubljana, Slovenia.
Three-quarters of the planet's land surface has been altered by humans, with consequences for animal ecology, movements and related ecosystem functioning. Species often occupy wide geographical ranges with contrasting human disturbance and environmental conditions, yet, limited data availability across species' ranges has constrained our understanding of how human pressure and resource availability jointly shape intraspecific variation of animal space use. Leveraging a unique dataset of 758 annual GPS movement trajectories from 375 brown bears (Ursus arctos) across the species' range in Europe, we investigated the effects of human pressure (i.
View Article and Find Full Text PDFHave Degree, Will Travel? Geography and Orthopaedic Surgery Residency Match.
J Surg Educ
December 2024
Department of Orthopaedic Surgery, Medical College of Wisconsin, Milwaukee, Wisconsin.
Introduction: The paucity of objective data on the residency application is challenging to Orthopedic Surgery residency programs when selecting candidates to interview and to rank. Qualifying or quantifying the effect of geography on match results will help programs screen and rank candidates more effectively. The aim of this study is to describe the geographic background of current Orthopedic Surgery residents in the United States relative to their current residency program.
View Article and Find Full Text PDFIdentifying human activities causing water pollution based on microbial community sequencing and source classifier machine learning.
Environ Int
December 2024
State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Science, Beijing 100012, China; State Environmental Protection Key Laboratory of Estuarine and Coastal Environment, Chinese Research Academy of Environmental Science, Beijing 100012, China; State Key Laboratory of Pollution Control and Resource Reuse, College of Environmental Science and Engineering, Tongji University, Shanghai, 200092, China. Electronic address:
Identifying and differentiating human activities is crucial for effectively preventing the threats posed by environmental pollution to aquatic ecosystems and human health. Machine learning (ML) is a powerful analytical tool for tracking human impacts on river ecosystems based on high-through datasets. This study employed an ML framework and 16S rRNA sequencing data to reveal microbial dynamics and trace human activities across China.
View Article and Find Full Text PDFBackground: This study evaluated the quality of cancer recurrence data in the National Cancer Database (NCDB) to determine if missingness and reporting consistency have improved enough to support national research.
Methods: This multi-methods study included NCDB analyses and a cancer registry staff survey. Trends in recurrence data missingness from 2004 to 2021 and multivariable analyses of factors associated with missingness from 2017 to 2021 were evaluated for 4,568,927 patients with non-metastatic cancer.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!