Perspectives on the use of landscape genetics to detect genetic adaptive variation in the field
Graph Chatbot
Chat with Graph Search
Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.
DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.
There is a fundamental gap in our understanding of how horizontal gene transfer contributes to the enormous range of genetic variations that are observed among bacteria. Our model organism is Vibrio cholerae, the causative agent of cholera. V. cholerae ent ...
Long noncoding RNAs (lncRNAs) are one of the most intensively studied groups of noncoding elements. Debate continues over what proportion of lncRNAs are functional or merely represent transcriptional noise. Although characterization of individual lncRNAs h ...
Genetic diversity is essential for population survival and adaptation to changing environments. Demographic processes (e.g., bottleneck and expansion) and spatial structure (e.g., migration, number, and size of populations) are known to shape the patterns ...
Iran is an area of particular interest for investigating goat diversity. Archaeological remains indicate early goat domestication (about 10 000 years ago) in the Iranian Zagros Mountains as well as in the high Euphrates valley and southeastern Anatolia. In ...
Sheep (Ovis aries) have been well adapted to thrive in a diverse range of climates during the domestication and breed development process. These climate-mediated selective pressures have shown to influence phenotypic variation within and among breeds and, ...
Species distribution models are increasingly used to address conservation questions, so their predictive capacity requires careful evaluation. Previous studies have shown how individual factors used in model construction can affect prediction. Although som ...
GIScience methods and geodata may contribute to the elaboration of efficient decision‐making approaches to favor the conservation of plant/animal genetic diversity and to favor the advancement of our understanding of mechanisms controlling the evolution of ...
Multiple genome-wide association studies (GWAS) have been performed in HIV-1 infected individuals, identifying common genetic influences on viral control and disease course. Similarly, common genetic correlates of acquisition of HIV-1 after exposure have b ...
The recent availability of whole genome sequence (WGS) data implies to reconsider sampling strategies in landscape genomics for economic reasons. Indeed, while we had many individuals and few genetic markers ten years ago, we now face the contrary with hig ...
In the field of landscape genetics, environmental variables are needed to assess the influence of the environment on the spatial distribution of the genetic information of animals or plants. However, measuring variables (e.g. temperature, precipitation) at ...