Nova hantavirus (NVAV) was first identified in a single European mole (), captured in Hungary. Analysis of lung tissues from 94 moles captured in France revealed NVAV in 50%. Based on the genetic diversity of the cytochrome mtDNA, moles collected in Poitiers and Bordeaux were more closely related to the Iberian mole (), a species previously assumed to be restricted to the Iberian Peninsula. Several hypotheses are discussed to explain these observations: 1) presence of hitherto unnoticed in southwestern France; 2) existence of an ancient mitochondrial introgression phenomenon between the two species, producing a particular phenotype in some hybrids; 3) existence of a hybrid zone between the two species; and 4) existence of a new species. NVAV was not detected in the southwestern moles, which begs the question of the potential presence of a particular Hantavirus sp. in this population and/or in the Iberian moles.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4269262 | PMC |
| http://dx.doi.org/10.4267/2042/54201 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Genomic Prediction of Individual Inbreeding Levels for the Management of Genetic Diversity in Populations With Small Effective Size.
Mol Ecol Resour
January 2025
Unit of Animal Genomics, GIGA-R & Faculty of Veterinary Medicine, University of Liège, Liège, Belgium.
In populations of small effective size (N), such as those in conservation programmes, companion animals or livestock species, inbreeding control is essential. Homozygosity-by-descent (HBD) segments provide relevant information in that context, as they allow accurate estimation of the inbreeding coefficient, provide locus-specific information and their length is informative about the "age" of inbreeding. Our objective was to evaluate tools for predicting HBD in future offspring based on parental genotypes, a problem equivalent to identifying segments identical-by-descent (IBD) among the four parental chromosomes.
View Article and Find Full Text PDFAntidepressants exhibit a considerable variation in efficacy, and increasing evidence suggests that individual genetics contribute to antidepressant treatment response. Here, we combined data on antidepressant non-response measured using rating scales for depressive symptoms, questionnaires of treatment effect, and data from electronic health records, to increase statistical power to detect genomic loci associated with non-response to antidepressants in a total sample of 135,471 individuals prescribed antidepressants (25,255 non-responders and 110,216 responders). We performed genome-wide association meta-analyses, genetic correlation analyses, leave-one-out polygenic prediction, and bioinformatics analyses for genetically informed drug prioritization.
View Article and Find Full Text PDFCase-control genome-wide association studies (GWAS) are often used to find associations between genetic variants and diseases. When case-control GWAS are conducted, researchers must make decisions regarding how many cases and how many controls to include in the study. Depending on differing availability and cost of controls and cases, varying case fractions are used in case-control GWAS.
View Article and Find Full Text PDFStructural variants (SVs) drive gene expression in the human brain and are causative of many neurological conditions. However, most existing genetic studies have been based on short-read sequencing methods, which capture fewer than half of the SVs present in any one individual. Long-read sequencing (LRS) enhances our ability to detect disease-associated and functionally relevant structural variants (SVs); however, its application in large-scale genomic studies has been limited by challenges in sample preparation and high costs.
View Article and Find Full Text PDFTraditional clustering and visualization approaches in human genetics often operate under frameworks that assume inherent, discrete groupings . These methods can inadvertently simplify multifaceted relationships, functioning to entrench the idea of typological groups . We introduce a network-based pipeline and visualization tool grounded in relational thinking , which constructs networks from a variety of genetic similarity metrics.
View Article and Find Full Text PDFWant 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!