An organism's phenotype depends on a multitude of genetic variants, spread over a linear genome. This is widely understood, and yet in practice, has hardly been incorporated into population genetic analysis. Recent developments in...
An organism's phenotype depends on a multitude of genetic variants, spread over a linear genome. This is widely understood, and yet in practice, has hardly been incorporated into population genetic analysis. Recent developments in theory, computation, and sequencing technology now make it possible to obtain and analyse whole haploid genomes on a large scale. This proposal is to develop and apply a theoretical analysis of genetic variation that is spread over continuous linear genomes. Theory and methods will be developed in close interaction with empirical data from artificial selection experiments and from an intensely studied hybrid zone in Antirrhinum; for both, we have a known pedigree, and phased whole-genome sequence. Population structure will be analysed by following blocks of genome through pedigrees, and across two-dimensional landscapes. Selection on discrete loci will be analysed by finding its effect on surrounding haplotypes, by analysing how favoured alleles become disentangled from heterogeneous backgrounds, and by seeing how haplotype blocks flow past selected clines. The contribution of variants that are spread across the genome to GWA, to selection response, and to hybrid zones will be modelled, and the overall effect of inherited fitness variance on haplotype structure will be determined. This work will establish a new framework for population genomics that goes beyond the current focus on individual loci. It will help bridge the distinct communities within genomics, quantitative genetics, and population genetics, which currently tackle these problems largely in isolation. The project will develop better tools for inferring selection and population structure from DNA sequence data, and more fundamentally, will give us a deeper understanding of how the abundant variation that is carried on linear genomes is shaped by evolution.ver más
02-11-2024:
Generación Fotovolt...
Se ha cerrado la línea de ayuda pública: Subvenciones destinadas al fomento de la generación fotovoltaica en espacios antropizados en Canarias, 2024
01-11-2024:
ENESA
En las últimas 48 horas el Organismo ENESA ha otorgado 6 concesiones
01-11-2024:
FEGA
En las últimas 48 horas el Organismo FEGA ha otorgado 1667 concesiones
Seleccionando "Aceptar todas las cookies" acepta el uso de cookies para ayudarnos a brindarle una mejor experiencia de usuario y para analizar el uso del sitio web. Al hacer clic en "Ajustar tus preferencias" puede elegir qué cookies permitir. Solo las cookies esenciales son necesarias para el correcto funcionamiento de nuestro sitio web y no se pueden rechazar.
Cookie settings
Nuestro sitio web almacena cuatro tipos de cookies. En cualquier momento puede elegir qué cookies acepta y cuáles rechaza. Puede obtener más información sobre qué son las cookies y qué tipos de cookies almacenamos en nuestra Política de cookies.
Son necesarias por razones técnicas. Sin ellas, este sitio web podría no funcionar correctamente.
Son necesarias para una funcionalidad específica en el sitio web. Sin ellos, algunas características pueden estar deshabilitadas.
Nos permite analizar el uso del sitio web y mejorar la experiencia del visitante.
Nos permite personalizar su experiencia y enviarle contenido y ofertas relevantes, en este sitio web y en otros sitios web.