Microsatellite evolution: Mutations, sequence variation, and homoplasy in the hypervariable avian microsatellite locus -2

Ows and tree swallows. The alleles were lumped into 4 size classes (barn swallows: class 1 = 100–199 bp, class 2 = 200–299 bp, class 3 = 300–399 bp, class 4 = 400+ bp; tree swallows: class 1 = 200–299 bp, class 2 = 300–399 bp, class 3 = 400–499 bp, class 4 = 500+ bp). refers to number of alleles in the particular size class.<p><b>Copyright information:</b></p><p>Taken from "Microsatellite evolution: Mutations, sequence variation, and homoplasy in the hypervariable avian microsatellite locus "</p><p>http://www.biomedcentral.com/1471-2148/8/138</p><p>BMC Evolutionary Biology 2008;8():138-138.</p><p>Published online 9 May 2008</p><p>PMCID:PMC2396632.</p><p></p

Microsatellite evolution: Mutations, sequence variation, and homoplasy in the hypervariable avian microsatellite locus -1

(= 375) and tree swallows (= 144). Each bar represents the alleles from the corresponding size class, which has been organized in groups of 50 and 50 bp.<p><b>Copyright information:</b></p><p>Taken from "Microsatellite evolution: Mutations, sequence variation, and homoplasy in the hypervariable avian microsatellite locus "</p><p>http://www.biomedcentral.com/1471-2148/8/138</p><p>BMC Evolutionary Biology 2008;8():138-138.</p><p>Published online 9 May 2008</p><p>PMCID:PMC2396632.</p><p></p

Microsatellite evolution: Mutations, sequence variation, and homoplasy in the hypervariable avian microsatellite locus -0

Utant barn swallow alleles.<p><b>Copyright information:</b></p><p>Taken from "Microsatellite evolution: Mutations, sequence variation, and homoplasy in the hypervariable avian microsatellite locus "</p><p>http://www.biomedcentral.com/1471-2148/8/138</p><p>BMC Evolutionary Biology 2008;8():138-138.</p><p>Published online 9 May 2008</p><p>PMCID:PMC2396632.</p><p></p

Resource utilization by the Kori bustard in the Serengeti ecosystem - Fig 3

Brownian bridge utilization distributions for male (blue) and female (red) Kori bustards in the Serengeti Ecosystem. The points indicate the central location during the breeding (December-June; triangles) and non-breeding (July-November, squares) periods, interconnected by solid lines. The small dots represent the daily GPS locations.</p

DNA microsatelite and metabarcoding details from Fecal DNA metabarcoding reveals seasonal and annual variation in willow ptarmigan diet

Additional information about DNA micrositelite analyses and diet analysed based on DNA metabarcodin

Modelling results of Kori bustard preferences for different types of vegetation, Shannon diversity and distance to rivers (centred and scaled), assessing various functional responses, within the Serengeti Ecosystem.

The values indicate the effect sizes (F statistics) of the covariates in the models.</p

Monitoring methods for the Golden Eagle <i>Aquila chrysaetos</i> in Norway

Capsule: A description of the methods used for monitoring the Golden Eagle Aquila chrysaetos in Norway Aims: To provide a comprehensive description of monitoring methods. Methods: The intensive monitoring of the Golden Eagle in Norway started in 1991 as part of a national monitoring programme initiated by the Directorate for Nature Management (now the Norwegian Environment Agency). It has since become part of the Norwegian Large Predator Programme, and Golden Eagles are currently being monitored in 12 separate areas. Here we provide a comprehensive description of the current methods used in the intensive monitoring, with definitions, fieldwork and evaluation criteria for the final breeding status. In addition, a description of estimation of annual adult survival by genetic analysis is given. We describe the current methodology used in the intensive part of the Golden Eagle monitoring in Norway. Results: We present some results derived from the Norwegian monitoring system and discuss the potential for further analyses. In addition, we highlight aspects in the monitoring of the Golden Eagles where our methods deviate slightly from those applied in other countries and the potential effects of these. Conclusions: Intensive long-term monitoring programmes, such as this, will become increasingly valuable for monitoring the impact of environmental change, both from natural phenomena and from anthropogenic activities. To facilitate comparisons among the Golden Eagle monitoring programmes, detailed knowledge about the various methods applied is important.</p

Map of the Serengeti-Mara ecosystem indicating the study area and movements of satellite GPS-collared Kori bustards.

Map of the Serengeti-Mara ecosystem indicating the study area and movements of satellite GPS-collared Kori bustards.</p

Resource utilization by the Kori bustard in the Serengeti ecosystem - Fig 5

The most parsimonious models explaining the sexual and seasonal differentiations in preferences for vegetation (upper left), distance to rivers (centred and scaled, upper right) and Shannon diversity (lower panels) for Kori bustards in the Serengeti Ecosystem. Seasonal periods were categorized as breeding (December-June) and non-breeding (July-November) periods. The vegetation types are open grassland (OG), dense grassland (DG), shrubbed grassland (SG), treed grassland (TG), shrubland (S) and woodland (W). The relative preference indicates the relative probability on the back-transformed binomial scale excluding the intercept.</p

Average site values

This file contains average values (SD) for each of the 33 sites used in the study. The variables are latitude, longitude, elevation, tarsus length, wing length, body mass, sperm head length, sperm midpiece length, sperm tail length, sperm total length, CVbm, WW1 allele frequency, WW2 allele frequency, and length of the Clock gene