scholarly journals Genomic data detect corresponding signatures of population size change on an ecological time scale in two salamander species

2017 ◽  
Vol 26 (4) ◽  
pp. 1060-1074 ◽  
Author(s):  
Schyler O. Nunziata ◽  
Stacey L. Lance ◽  
David E. Scott ◽  
Emily Moriarty Lemmon ◽  
David W. Weisrock
Keyword(s):  
Population Size ◽  
Time Scale ◽  
Genomic Data ◽  
Size Change ◽  
Salamander Species ◽  
Population Size Change

scholarly journals Demographic inference using genetic data from a single individual: separating population size variation from population structure

2014 ◽  
Author(s):  
Olivier Mazet ◽  
Willy Rodríguez ◽  
Lounès Chikhi
Keyword(s):  
Population Size ◽  
Genomic Data ◽  
Genetic Data ◽  
Structured Populations ◽  
Parameter Estimates ◽  
Single Individual ◽  
Model Choice ◽  
Size Change ◽  
History Of ◽  
Population Size Change

The rapid development of sequencing technologies represents new opportunities for population genetics research. It is expected that genomic data will increase our ability to reconstruct the history of populations. While this increase in genetic information will likely help biologists and anthropologists to reconstruct the demographic history of populations, it also represents new challenges. Recent work has shown that structured populations generate signals of population size change. As a consequence it is often difficult to determine whether demographic events such as expansions or contractions (bottlenecks) inferred from genetic data are real or due to the fact that populations are structured in nature. Given that few inferential methods allow us to account for that structure, and that genomic data will necessarily increase the precision of parameter estimates, it is important to develop new approaches. In the present study we analyse two demographic models. The first is a model of instantaneous population size change whereas the second is the classical symmetric island model. We (i) re-derive the distribution of coalescence times under the two models for a sample of size two, (ii) use a maximum likelihood approach to estimate the parameters of these models (iii) validate this estimation procedure under a wide array of parameter combinations, (iv) implement and validate a model choice procedure by using a Kolmogorov-Smirnov test. Altogether we show that it is possible to estimate parameters under several models and perform efficient model choice using genetic data from a single diploid individual.

scholarly journals POPULATION SIZE CHANGE IN RURAL AREAS OF WEST POMERANIAN VOIVODESHIP IN 2011–2014

2018 ◽  
Vol 47 (1) ◽  
pp. 65-72
Author(s):  
Luiza Ossowska ◽  
Natalia Bartkowiak-Bakun
Keyword(s):  
Growth Rate ◽  
Population Size ◽  
Rural Areas ◽  
Population Growth Rate ◽  
Local Level ◽  
Natural Increase ◽  
Demographic Information ◽  
Size Change ◽  
Net Migration ◽  
Population Size Change

The aim of this study is to discuss changes in thepopulation and indicate the main reasons of these changes inrural areas of West Pomeranian voivodeship. The study wasconducted on the local level and based on Central StatisticalOffice data from the years 2010 to 2014. In the first part ofthe research, main demographic information is discussed. Itincludes population density, natural increase per 1000 populationand net migration per 1000 population in rural areasof West Pomeranian voivodeship. In the next part of the research,the average population growth rate was counted in theyears 2011–2014. Based on these changes, researched unitswere divided into four groups – two groups with positivechanges and two groups with negative changes. Subsequently,the main reasons of the changes in population size were analyzedin particular groups including natural increase, migration,population structure by age, level of unemployment andentrepreneurship. All indicators were designated as averagesfrom 2011 to 2014. According to the results in most of the researchunits, the net migration determined the population size.The net migration was characterized by higher absolute valuesthan natural increase. The population size changes are relatedto density. The lowest density areas are more depopulated.Moreover, the population size changes are positive related tothe level of entrepreneurship and negative related to the levelof unemployment.

scholarly journals Inferring the History of Population Size Change from Genome-Wide SNP Data

2012 ◽  
Vol 29 (12) ◽  
pp. 3653-3667 ◽  
Author(s):  
Christoph Theunert ◽  
Kun Tang ◽  
Michael Lachmann ◽  
Sile Hu ◽  
Mark Stoneking
Keyword(s):  
Population Size ◽  
Size Change ◽  
Snp Data ◽  
Genome Wide ◽  
History Of ◽  
Population Size Change

scholarly journals Demographic histories of three predatory lady beetles reveal complex patterns of diversity and population size change in the United States

2017 ◽  
Vol 25 (6) ◽  
pp. 1065-1079 ◽  
Author(s):  
Arun Sethuraman ◽  
Fredric J. Janzen ◽  
Michael A. Rubio ◽  
Yumary Vasquez ◽  
John J. Obrycki
Keyword(s):  
United States ◽  
Population Size ◽  
The United States ◽  
Size Change ◽  
Lady Beetles ◽  
Complex Patterns ◽  
Population Size Change ◽  
Predatory Lady Beetles
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