scholarly journals Limited dispersal in mobile hunter–gatherer Baka Pygmies

2010 ◽  
Vol 6 (6) ◽  
pp. 858-861 ◽  
Author(s):  
Paul Verdu ◽  
Raphaël Leblois ◽  
Alain Froment ◽  
Sylvain Théry ◽  
Serge Bahuchet ◽  
...  
Keyword(s):  
Population Genetics ◽  
Genetic Markers ◽  
Strong Correlation ◽  
Isolation By Distance ◽  
Central Africa ◽  
Dispersal Behaviour ◽  
Hunter Gatherers ◽  
Limited Dispersal ◽  
Geographical Distances

Hunter–gatherer Pygmies from Central Africa are described as being extremely mobile. Using neutral genetic markers and population genetics theory, we explored the dispersal behaviour of the Baka Pygmies from Cameroon, one of the largest Pygmy populations in Central Africa. We found a strong correlation between genetic and geographical distances: a pattern of isolation by distance arising from limited parent–offspring dispersal. Our study suggests that mobile hunter–gatherers do not necessarily disperse over wide geographical areas.

scholarly journals Insights in genetic diversity of German and Italian grape berry moth (Eupoecilia ambiguella) populations using novel microsatellite markers

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Annette Reineke ◽  
Alberto Pozzebon ◽  
Olivia Herczynski ◽  
Carlo Duso
Keyword(s):  
Population Genetics ◽  
Microsatellite Markers ◽  
Isolation By Distance ◽  
Resistance Management ◽  
Grape Berry ◽  
Grape Berries ◽  
Eupoecilia Ambiguella ◽  
Significant Damage ◽  
Significant Divergence ◽  
Lepidopteran Pest

AbstractThe grape berry moth Eupoecilia ambiguella (Lepidoptera: Tortricidae) is causing significant damage to grape berries, however, little is known on population genetics of this lepidopteran pest insect, hindered so far by the lack of suitable molecular markers. Here we report on the development of ten microsatellite markers of which six were used to characterise 21 E. ambiguella populations obtained from two viticultural regions in Germany and Italy. Moths were sampled during two subsequent generations (flights) in the same vineyard as well as in vineyards surrounded by different landscape types. German and Italian populations were genetically differentiated and a significant isolation by distance was evident. No significant divergence was observed among the populations from first or second flight moths, however, inbreeding was higher in first than in second flight populations. Moreover, inbreeding was influenced by habitat composition and complexity of landscape around vineyards, being positively associated with the percentage of area covered by grapevine. Population genetics of E. ambiguella could thus be affected by the presence of alternative host plants in viticultural landscapes, which is important in the light of both insecticide resistance management and sustainable pest management.

scholarly journals mixIndependR: a R package for statistical independence testing of loci in database of multi-locus genotypes

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Bing Song ◽  
August E. Woerner ◽  
John Planz
Keyword(s):  
Population Genetics ◽  
Linkage Disequilibrium ◽  
Genetic Markers ◽  
Software Package ◽  
Tandem Repeats ◽  
Population Data ◽  
Real Data ◽  
R Package ◽  
Nucleotide Polymorphisms ◽  
Mutual Independence

Abstract Background Multi-locus genotype data are widely used in population genetics and disease studies. In evaluating the utility of multi-locus data, the independence of markers is commonly considered in many genomic assessments. Generally, pairwise non-random associations are tested by linkage disequilibrium; however, the dependence of one panel might be triplet, quartet, or other. Therefore, a compatible and user-friendly software is necessary for testing and assessing the global linkage disequilibrium among mixed genetic data. Results This study describes a software package for testing the mutual independence of mixed genetic datasets. Mutual independence is defined as no non-random associations among all subsets of the tested panel. The new R package “mixIndependR” calculates basic genetic parameters like allele frequency, genotype frequency, heterozygosity, Hardy–Weinberg equilibrium, and linkage disequilibrium (LD) by mutual independence from population data, regardless of the type of markers, such as simple nucleotide polymorphisms, short tandem repeats, insertions and deletions, and any other genetic markers. A novel method of assessing the dependence of mixed genetic panels is developed in this study and functionally analyzed in the software package. By comparing the observed distribution of two common summary statistics (the number of heterozygous loci [K] and the number of share alleles [X]) with their expected distributions under the assumption of mutual independence, the overall independence is tested. Conclusion The package “mixIndependR” is compatible to all categories of genetic markers and detects the overall non-random associations. Compared to pairwise disequilibrium, the approach described herein tends to have higher power, especially when number of markers is large. With this package, more multi-functional or stronger genetic panels can be developed, like mixed panels with different kinds of markers. In population genetics, the package “mixIndependR” makes it possible to discover more about admixture of populations, natural selection, genetic drift, and population demographics, as a more powerful method of detecting LD. Moreover, this new approach can optimize variants selection in disease studies and contribute to panel combination for treatments in multimorbidity. Application of this approach in real data is expected in the future, and this might bring a leap in the field of genetic technology. Availability The R package mixIndependR, is available on the Comprehensive R Archive Network (CRAN) at: https://cran.r-project.org/web/packages/mixIndependR/index.html.

scholarly journals Nonsignificant isolation by distance implies limited dispersal

2012 ◽  
Vol 21 (23) ◽  
pp. 5637-5639 ◽  
Author(s):  
Katie E. Lotterhos
Keyword(s):  
Isolation By Distance ◽  
Limited Dispersal

scholarly journals Morphometric and genetic differentiation among populations of Eupemphix nattereri (Amphibia, Anura, Leiuperidae) from central Brazil

2008 ◽  
Vol 98 (4) ◽  
pp. 493-500 ◽  
Author(s):  
Daniela de M. e Silva ◽  
Aparecido D. da Cruz ◽  
Rogério P. Bastos ◽  
Mariana P. de C. Telles ◽  
José Alexandre F. Diniz-Filho
Keyword(s):  
Rapd Markers ◽  
Phenotypic Diversity ◽  
Isolation By Distance ◽  
Mantel Test ◽  
Population Divergence ◽  
Morphometric Traits ◽  
Central Brazil ◽  
Geographical Populations ◽  
Geographical Distances ◽  
The Relationship

To assess genetic structure and phenotypic diversity of Eupemphix nattereri Steindachner, 1863, morphometric and molecular analyses were carried out for nine populations from the State of Goiás. A total of 11 morphometric traits were evaluated and genetic information was estimated using RAPD markers. Genetic and phenotypic distances were determined as a function of geographical origin. Correlation among genetic, morphometric, micro, and macroenviromental were analyzed by the Mantel test. Genetic data indicated high levels of genetic diversity (Φst= 0.3) among the nine populations. Mantel tests did not reveal a significant positive correlation between genetic and geographical distances, indicating that locally geographical populations were not genetically similar, even in distances smaller than 50 km. Discriminant analysis on 11 morphometric measurements showed a high divergence among the nine populations. However, a marginally significant correlation (P=0.08) between genetic and morphometric distances was found. The observed correlation was not causal in terms of the relationship between phenotype and genotype, but indicated common spatial structures. Thus, our results suggest that isolation-by-distance processes may explain population divergence in Eupemphix nattereri.

Modern DNA and the Ancient Mediterranean

2019 ◽  
pp. 224-248
Author(s):  
Roy J. King ◽  
Peter A. Underhill
Keyword(s):  
Population Genetics ◽  
Dna Sequence ◽  
Genetic Markers ◽  
Human History ◽  
Ancient History ◽  
Dna Variation ◽  
Mutational Change

This chapter takes a look at genetics and its role in the study of ancient history. Genetics is the study of inheritance, and DNA variation is the essence of heredity. DNA sequence differences underpin genetics overall and population genetics is the study of such diversity in populations and how it changes through time. Reconstructing human history using modern DNA has been a longstanding endeavor rooted in sampling practicality. If a mutational change does not negatively affect the individual's ability to reproduce, it may be passed down to each succeeding generation, eventually becoming established in a population. Such mutations, whether beneficial, harmful, or neutral, can serve as genetic markers.

Allozyme Evidence of Genetic Differentiation Between Populations of Hediste Diversicolor (Polychaeta: Nereididae) from the Western Mediterranean

1996 ◽  
Vol 76 (3) ◽  
pp. 637-647 ◽  
Author(s):  
M. Abbiati ◽  
F. Maltagliati
Keyword(s):  
Genetic Differentiation ◽  
Isolation By Distance ◽  
Western Mediterranean ◽  
Allozyme Electrophoresis ◽  
Isolated Populations ◽  
Hediste Diversicolor ◽  
Dispersal Capacity ◽  
Two Samples ◽  
Distance Model ◽  
Limited Dispersal

The occurrence of genetic differentiation among western Mediterranean Hediste diversicolor (Polychaeta: Nereididae) populations was assessed by allozyme electrophoresis on cellulose acetate. Seventeen loci were analysed in four populations. The level of the genetic variability was markedly low (mean HL range: 0.014–0.034), but comparable to that of other brackish water nereidids. The values of Nei genetic distance index (D) confirm the existence of genetic differentiation between the geographically isolated populations at Venice, Elba, Navicelli and Serchio D range: 0.128–0.356). However, the two samples from Serchio and Navicelli, ~15 km apart, were not genetically different (D=0·00005). The level of genetic differentiation in H. diversicolor populations followed the isolation-by-distance model. Reduced gene flow among H. diversicolor populations may be explained by its limited dispersal capacity and the eco-physiological barriers that occur between different brackish habitats.

The Bantu Expansion

2018 ◽  
Author(s):  
Koen Bostoen
Keyword(s):  
Late Holocene ◽  
Driving Forces ◽  
Central Africa ◽  
Stone Tools ◽  
Technological Innovations ◽  
Way Of Life ◽  
Hunter Gatherers ◽  
Bantu Languages ◽  
Speech Communities ◽  
Eastern And Southern Africa

The Bantu Expansion stands for the concurrent dispersal of Bantu languages and Bantu-speaking people from an ancestral homeland situated in the Grassfields region in the borderland between current-day Nigeria and Cameroon. During their initial migration across most of Central, Eastern, and Southern Africa, which took place between approximately 5,000 and 1,500 years ago, Bantu speech communities not only introduced new languages in the areas where they immigrated but also new lifestyles, in which initially technological innovations such as pottery making and the use of large stone tools played an important role as did subsequently also farming and metallurgy. Wherever early Bantu speakers started to develop a sedentary way of life, they left an archaeologically visible culture. Once settled, Bantu-speaking newcomers strongly interacted with autochthonous hunter-gatherers, as is still visible in the gene pool and/or the languages of certain present-day Bantu speech communities. The driving forces behind what is the principal linguistic, cultural, and demographic process in Late Holocene Africa are still a matter of debate, but it is increasingly accepted that the climate-induced destruction of the rainforest in West Central Africa around 2,500 years ago gave a boost to the Bantu Expansion.

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