Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1111/j.1601-5223.1996.00281.x | DOI Listing |
Vavilovskii Zhurnal Genet Selektsii
December 2021
Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia.
There are currently over a thousand indigenous cattle breeds well adapted to local habitat conditions thanks to their long history of evolution and breeding. Identification of the genetic variations controlling the adaptation of local cattle breeds for their further introduction into the genome of highly productive global breeds is a matter of great relevance. Studying individual populations of the same breed with the use of microsatellite markers makes it possible to assess their genetic diversity, relationships, and breed improvement potential.
View Article and Find Full Text PDFPeerJ
December 2018
Institute of Pharmacy and Molecular Biotechnology, Heidelberg University, Heidelberg, Germany.
We explored the genetic background of social interactions in two breeding metapopulations of the pied flycatcher () in Western Siberia. In 2005, we sampled blood from birds breeding in study areas located in the city of Tomsk and in a natural forest 13 km southward of Tomsk (Western Siberia, Russia). We sampled 30 males, 46 females, 268 nestlings (46 nests) in the urban settlement of pied flycatcher, and 232 males, 250 females, 1,485 nestlings (250 nests) in the woodland plot.
View Article and Find Full Text PDFBMC Evol Biol
August 2016
Department of Evolutionary Ecology, Estación Biológica de Doñana-CSIC, Av. Américo Vespucio s/n, 41092, Seville, Spain.
Background: Habitat selection may have profound evolutionary consequences, but they strongly depend on the underlying preference mechanism, including genetically-determined, natal habitat and phenotype-dependent preferences. It is known that different mechanisms may operate at the same time, yet their relative contribution to population differentiation remains largely unexplored empirically mainly because of the difficulty of finding suitable study systems. Here, we investigate the role of early experience and genetic background in determining the outcome of settlement by pied flycatchers (Ficedula hypoleuca) breeding in two habitat patches between which dispersal and subsequent reproductive performance is influenced by phenotype (body size).
View Article and Find Full Text PDFJ Hered
October 2015
From the Laboratório de Evolução e Genética Animal-LEGAL, Instituto de Ciências Biológicas, Universidade Federal do Amazonas, Av. Gen. Rodrigo Octávio Jordão Ramos, 3000, Campus Universitário, Bairro Coroado I, 69077-000 Manaus, AM, Brasil (Farias, Santos, and Hrbek); and the Laboratório de Ecologia, Projeto Sauim-de-Coleira, Instituto de Ciências Biológicas, Universidade Federal do Amazonas, Manaus, Brasil (Gordo).
We analyzed DNA at 9 microsatellite loci from hair samples of 73 pied tamarins (Saguinus bicolor) located in 3 urban forest fragments and a biological reserve in the city of Manaus, Amazonas, Brazil. The forest fragments had become isolated from the continuous forest 6-15 years prior to the time of sampling. Tests for reduction in population size showed that all groups from the urban forest fragments had undergone genetic bottlenecks.
View Article and Find Full Text PDFEcol Evol
November 2013
Biodiversity and Climate Research Centre Senckenberganlage 25, Frankfurt a. Main, D-60325, Germany ; Museum of Zoology, Senckenberg Natural History Collections Königsbrücker Landstraße 159, Dresden, D-01109, Germany.
Global climate change is one of the major driving forces for adaptive shifts in migration and breeding phenology and possibly impacts demographic changes if a species fails to adapt sufficiently. In Western Europe, pied flycatchers (Ficedula hypoleuca) have insufficiently adapted their breeding phenology to the ongoing advance of food peaks within their breeding area and consequently suffered local population declines. We address the question whether this population decline led to a loss of genetic variation, using two neutral marker sets (mitochondrial control region and microsatellites), and one potentially selectively non-neutral marker (avian Clock gene).
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!