scholarly journals Full-genome evolutionary histories of selfing, splitting and selection in Caenorhabditis

2014 ◽  
Author(s):  
Cristel G. Thomas ◽  
Wei Wang ◽  
Richard Jovelin ◽  
Rajarshi Ghosh ◽  
Tatiana Lomasko ◽  
...  
Keyword(s):  
Population History ◽  
Population Variation ◽  
Population Divergence ◽  
Genomic Context ◽  
Size Change ◽  
High Coverage ◽  
C Elegans ◽  
Developmental Evolution ◽  
History Of ◽  
Rare Gene

The nematode Caenorhabditis briggsae is a model for comparative developmental evolution with C. elegans. Worldwide collections of C. briggsae have implicated an intriguing history of divergence among genetic groups separated by latitude, or by restricted geography, that is being exploited to dissect the genetic basis to adaptive evolution and reproductive incompatibility. And yet, the genomic scope and timing of population divergence is unclear. We performed high-coverage whole-genome sequencing of 37 wild isolates of the nematode C. briggsae and applied a pairwise sequentially Markovian coalescent (PSMC) model to 703 combinations of genomic haplotypes to draw inferences about population history, the genomic scope of natural selection, and to compare with 40 wild isolates of C. elegans. We estimate that a diaspora of at least 6 distinct C. briggsae lineages separated from one another approximately 200 thousand generations ago, including the ???Temperate??? and ???Tropical??? phylogeographic groups that dominate most samples from around the world. Moreover, an ancient population split in its history 2 million generations ago, coupled with only rare gene flow among lineage groups, validates this system as a model for incipient speciation. Low versus high recombination regions of the genome give distinct signatures of population size change through time, indicative of widespread effects of selection on highly linked portions of the genome owing to extreme inbreeding by self-fertilization. Analysis of functional mutations indicates that genomic context, owing to selection that acts on long linkage blocks, is a more important driver of population variation than are the functional attributes of the individually encoded genes.

scholarly journals Estimation of coalescence probabilities and population divergence times from SNP data

Heredity ◽  
2021 ◽  
Author(s):  
Kristy Mualim ◽  
Christoph Theunert ◽  
Montgomery Slatkin
Keyword(s):  
Demographic History ◽  
Population History ◽  
Divergence Times ◽  
Population Divergence ◽  
High Coverage ◽  
Snp Data ◽  
Population Sizes ◽  
History Of ◽  
Relationship Of ◽  
The Relationship

AbstractWe present a method called the G(A|B) method for estimating coalescence probabilities within population lineages from genome sequences when one individual is sampled from each population. Population divergence times can be estimated from these coalescence probabilities if additional assumptions about the history of population sizes are made. Our method is based on a method presented by Rasmussen et al. (2014) to test whether an archaic genome is from a population directly ancestral to a present-day population. The G(A|B) method does not require distinguishing ancestral from derived alleles or assumptions about demographic history before population divergence. We discuss the relationship of our method to two similar methods, one introduced by Green et al. (2010) and called the F(A|B) method and the other introduced by Schlebusch et al. (2017) and called the TT method. When our method is applied to individuals from three or more populations, it provides a test of whether the population history is treelike because coalescence probabilities are additive on a tree. We illustrate the use of our method by applying it to three high-coverage archaic genomes, two Neanderthals (Vindija and Altai) and a Denisovan.

scholarly journals Insights into human genetic variation and population history from 929 diverse genomes

2019 ◽  
Author(s):  
Anders Bergström ◽  
Shane A. McCarthy ◽  
Ruoyun Hui ◽  
Mohamed A. Almarri ◽  
Qasim Ayub ◽  
...  
Keyword(s):  
Genetic Variation ◽  
Central Africa ◽  
Population History ◽  
Human Populations ◽  
Genome Sequences ◽  
High Coverage ◽  
Geographical Regions ◽  
History Of ◽  
Different Populations ◽  
Source Populations

AbstractGenome sequences from diverse human groups are needed to understand the structure of genetic variation in our species and the history of, and relationships between, different populations. We present 929 high-coverage genome sequences from 54 diverse human populations, 26 of which are physically phased using linked-read sequencing. Analyses of these genomes reveal an excess of previously undocumented private genetic variation in southern and central Africa and in Oceania and the Americas, but an absence of fixed, private variants between major geographical regions. We also find deep and gradual population separations within Africa, contrasting population size histories between hunter-gatherer and agriculturalist groups in the last 10,000 years, a potentially major population growth episode after the peopling of the Americas, and a contrast between single Neanderthal but multiple Denisovan source populations contributing to present-day human populations. We also demonstrate benefits to the study of population relationships of genome sequences over ascertained array genotypes. These genome sequences are freely available as a resource with no access or analysis restrictions.

scholarly journals Evolutionary history of modern Samoans

2020 ◽  
Vol 117 (17) ◽  
pp. 9458-9465 ◽  
Author(s):  
Daniel N. Harris ◽  
Michael D. Kessler ◽  
Amol C. Shetty ◽  
Daniel E. Weeks ◽  
Ryan L. Minster ◽  
...  
Keyword(s):  
Population History ◽  
Capital City ◽  
High Coverage ◽  
Whole Genomes ◽  
Human Modification ◽  
European Colonization ◽  
Demographic Processes ◽  
History Of ◽  
European Colonialism ◽  
History Of Migration

Archaeological studies estimate the initial settlement of Samoa at 2,750 to 2,880 y ago and identify only limited settlement and human modification to the landscape until about 1,000 to 1,500 y ago. At this point, a complex history of migration is thought to have begun with the arrival of people sharing ancestry with Near Oceanic groups (i.e., Austronesian-speaking and Papuan-speaking groups), and was then followed by the arrival of non-Oceanic groups during European colonialism. However, the specifics of this peopling are not entirely clear from the archaeological and anthropological records, and is therefore a focus of continued debate. To shed additional light on the Samoan population history that this peopling reflects, we employ a population genetic approach to analyze 1,197 Samoan high-coverage whole genomes. We identify population splits between the major Samoan islands and detect asymmetrical gene flow to the capital city. We also find an extreme bottleneck until about 1,000 y ago, which is followed by distinct expansions across the islands and subsequent bottlenecks consistent with European colonization. These results provide for an increased understanding of Samoan population history and the dynamics that inform it, and also demonstrate how rapid demographic processes can shape modern genomes.

scholarly journals Insights into human genetic variation and population history from 929 diverse genomes

Science ◽  
2020 ◽  
Vol 367 (6484) ◽  
pp. eaay5012 ◽  
Author(s):  
Anders Bergström ◽  
Shane A. McCarthy ◽  
Ruoyun Hui ◽  
Mohamed A. Almarri ◽  
Qasim Ayub ◽  
...  
Keyword(s):  
Genetic Variation ◽  
Central Africa ◽  
Population History ◽  
Human Populations ◽  
Genome Sequences ◽  
High Coverage ◽  
Geographical Regions ◽  
History Of ◽  
Different Populations ◽  
Source Populations

Genome sequences from diverse human groups are needed to understand the structure of genetic variation in our species and the history of, and relationships between, different populations. We present 929 high-coverage genome sequences from 54 diverse human populations, 26 of which are physically phased using linked-read sequencing. Analyses of these genomes reveal an excess of previously undocumented common genetic variation private to southern Africa, central Africa, Oceania, and the Americas, but an absence of such variants fixed between major geographical regions. We also find deep and gradual population separations within Africa, contrasting population size histories between hunter-gatherer and agriculturalist groups in the past 10,000 years, and a contrast between single Neanderthal but multiple Denisovan source populations contributing to present-day human populations.

scholarly journals Inference of Historical Population-Size Changes with Allele-Frequency Data

2019 ◽  
Vol 10 (1) ◽  
pp. 211-223 ◽  
Author(s):  
Michael Lynch ◽  
Bernhard Haubold ◽  
Peter Pfaffelhuber ◽  
Takahiro Maruki
Keyword(s):  
Population Size ◽  
Probability Distributions ◽  
Daphnia Pulex ◽  
Population History ◽  
Effective Population ◽  
Size Change ◽  
Conceptual Approach ◽  
Population Genomic ◽  
Population Sizes ◽  
History Of

With up to millions of nearly neutral polymorphisms now being routinely sampled in population-genomic surveys, it is possible to estimate the site-frequency spectrum of such sites with high precision. Each frequency class reflects a mixture of potentially unique demographic histories, which can be revealed using theory for the probability distributions of the starting and ending points of branch segments over all possible coalescence trees. Such distributions are completely independent of past population history, which only influences the segment lengths, providing the basis for estimating average population sizes separating tree-wide coalescence events. The history of population-size change experienced by a sample of polymorphisms can then be dissected in a model-flexible fashion, and extension of this theory allows estimation of the mean and full distribution of long-term effective population sizes and ages of alleles of specific frequencies. Here, we outline the basic theory underlying the conceptual approach, develop and test an efficient statistical procedure for parameter estimation, and apply this to multiple population-genomic datasets for the microcrustacean Daphnia pulex.

Tales of Human Migration, Admixture, and Selection in Africa

2018 ◽  
Vol 19 (1) ◽  
pp. 405-428 ◽  
Author(s):  
Carina M. Schlebusch ◽  
Mattias Jakobsson
Keyword(s):  
Human Migration ◽  
Population History ◽  
Population Divergence ◽  
Before Present ◽  
Hunter Gatherers ◽  
Genetic Studies ◽  
Sequencing Technologies ◽  
Anatomically Modern Humans ◽  
History Of ◽  
Divergence Dates

In the last three decades, genetic studies have played an increasingly important role in exploring human history. They have helped to conclusively establish that anatomically modern humans first appeared in Africa roughly 250,000–350,000 years before present and subsequently migrated to other parts of the world. The history of humans in Africa is complex and includes demographic events that influenced patterns of genetic variation across the continent. Through genetic studies, it has become evident that deep African population history is captured by relationships among African hunter–gatherers, as the world's deepest population divergences occur among these groups, and that the deepest population divergence dates to 300,000 years before present. However, the spread of pastoralism and agriculture in the last few thousand years has shaped the geographic distribution of present-day Africans and their genetic diversity. With today's sequencing technologies, we can obtain full genome sequences from diverse sets of extant and prehistoric Africans. The coming years will contribute exciting new insights toward deciphering human evolutionary history in Africa.

scholarly journals The demographic and adaptive history of the African green monkey

2017 ◽  
Author(s):  
Susanne P. Pfeifer
Keyword(s):  
Genetic Diversity ◽  
Demographic History ◽  
Divergence Time ◽  
African Green Monkey ◽  
Population Variation ◽  
Population Divergence ◽  
Nucleotide Polymorphisms ◽  
Divergence Time Estimates ◽  
Green Monkey ◽  
History Of

AbstractRelatively little is known about the evolutionary history of the African green monkey (genus Chlorocebus) due to the lack of sampled polymorphism data from wild populations. Yet, this characterization of genetic diversity is not only critical for a better understanding of their own history, but also for human biomedical research given that they are one of the most widely used primate models. Here, I analyze the demographic and selective history of the African green monkey, utilizing one of the most comprehensive catalogs of wild genetic diversity to date, consisting of 1,795,643 autosomal single nucleotide polymorphisms in 25 individuals, representing all five major populations: C. a. aethiops, C. a. cynosurus, C. a. pygerythrus, C. a. sabaeus, and C. a tantalus. Assuming a mutation rate of 5.9 × 10−9 per base pair per generation and a generation time of 8.5 years, divergence time estimates range from 523-621kya for the basal split of C. a. aethiops from the other four populations. Importantly, the resulting tree characterizing the relationship and split-times between these populations differs significantly from that presented in the original genome paper, owing to their neglect of within-population variation when calculating between population-divergence. In addition, I find that the demographic history of all five populations is well explained by a model of population fragmentation and isolation, rather than novel colonization events. Finally, utilizing these demographic models as a null, I investigate the selective history of the populations, identifying candidate regions potentially related to adaptation in response to pathogen exposure.

scholarly journals Estimation of population divergence times from SNP data and a test for treeness

2018 ◽  
Author(s):  
Christoph Theunert ◽  
Montgomery Slatkin
Keyword(s):  
Demographic History ◽  
Population History ◽  
The Other ◽  
Divergence Times ◽  
Population Divergence ◽  
Genome Sequences ◽  
High Coverage ◽  
Snp Data ◽  
Relationship Of ◽  
The Relationship

AbstractWe present a method for estimating population divergence times from genome sequences when one individual is sampled from each population. Our method is a simplified version of one presented by Rassmussen et al. (2014) for testing for direct ancestry of an archaic genome. Our method does not require distinguishing ancestral from derived alleles or assumptions about demographic history before population divergence. We discuss the relationship of our method to two similar methods, one introduced by Green et al. (2010) and denoted by F(A | B) and the other introduced by Schlebusch et al. (2017) and called the TT method. When our method is applied to individuals from three or more populations, it provides a test of whether the population history is treelike. We illustrate the use of our method by applying it to three high-coverage archaic genomes, two Neanderthals (Vindija and Altai) and a Denisovan.

The Population History of Britain and Ireland 1500-1750

1996 ◽  
Vol 50 (2) ◽  
pp. 284-285
Author(s):  
Eilidh Garrett
Keyword(s):  
Population History ◽  
History Of

Population Genetics ofCaenorhabditis elegans: The Paradox of Low Polymorphism in a Widespread Species

Genetics ◽  
2003 ◽  
Vol 163 (1) ◽  
pp. 147-157 ◽  
Author(s):  
Arjun Sivasundar ◽  
Jody Hey
Keyword(s):  
Genetic Variation ◽  
Microsatellite Loci ◽  
Population Expansion ◽  
Widespread Species ◽  
C Elegans ◽  
Model Research ◽  
The World ◽  
Natural Isolates ◽  
History Of ◽  
Low Levels

AbstractCaenorhabditis elegans has become one of the most widely used model research organisms, yet we have little information on evolutionary processes and recent evolutionary history of this widespread species. We examined patterns of variation at 20 microsatellite loci in a sample of 23 natural isolates of C. elegans from various parts of the world. One-half of the loci were monomorphic among all strains, and overall genetic variation at microsatellite loci was low, relative to most other species. Some population structure was detected, but there was no association between the genetic and geographic distances among different natural isolates. Thus, despite the nearly worldwide occurrence of C. elegans, little evidence was found for local adaptation in strains derived from different parts of the world. The low levels of genetic variation within and among populations suggest that recent colonization and population expansion might have occurred. However, the patterns of variation are not consistent with population expansion. A possible explanation for the observed patterns is the action of background selection to reduce polymorphism, coupled with ongoing gene flow among populations worldwide.

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