Waterfowl Population Structure: Phylogeographic Inference
نویسندگان
چکیده
منابع مشابه
Bayesian approach to inference of population structure
Methods of inferring the population structure, its applications in identifying disease models as well as foresighting the physical and mental situation of human beings have been finding ever-increasing importance. In this article, first, motivation and significance of studying the problem of population structure is explained. In the next section, the applications of inference of p...
متن کاملPopulation growth confounds phylogeographic inference in Namaqua sandgrouse.
The Namaqua sandgrouse, Pterocles namaqua, is a highly nomadic granivore of semiarid to arid habitats. As a result of nomadic movements in response to rainfall, the size of the breeding population in any one area fluctuates dramatically between breeding seasons. This high mobility in response to spatial and temporal abundance of food resources is expected to result in little population genetic ...
متن کاملThree roads diverged? Routes to phylogeographic inference.
Phylogeographic methods facilitate inference of the geographical history of genetic lineages. Recent examples explore human migration and the origins of viral pandemics. There is longstanding disagreement over the use and validity of certain phylogeographic inference methodologies. In this paper, we highlight three distinct frameworks for phylogeographic inference to give a taste of this disagr...
متن کاملPHRAPL: Phylogeographic Inference Using Approximate Likelihoods.
The demographic history of most species is complex, with multiple evolutionary processes combining to shape the observed patterns of genetic diversity. To infer this history, the discipline of phylogeography has (to date) used models that simplify the historical demography of the focal organism, for example by assuming or ignoring ongoing gene flow between populations or by requiring a priori s...
متن کاملStructurama: Bayesian Inference of Population Structure
Structurama is a program for inferring population structure. Specifically, the program calculates the posterior probability of assigning individuals to different populations. The program takes as input a file containing the allelic information at some number of loci sampled from a collection of individuals. After reading a data file into computer memory, Structurama uses a Gibbs algorithm to sa...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Achievements in the Life Sciences
سال: 2014
ISSN: 2078-1520
DOI: 10.1016/j.als.2015.01.007