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1.
Cell ; 177(1): 115-131, 2019 03 21.
Artigo em Inglês | MEDLINE | ID: mdl-30901534

RESUMO

Identifying the causes of similarities and differences in genetic disease prevalence among humans is central to understanding disease etiology. While present-day humans are not strongly differentiated, vast amounts of genomic data now make it possible to study subtle patterns of genetic variation. This allows us to trace our genomic history thousands of years into the past and its implications for the distribution of disease-associated variants today. Genomic analyses have shown that demographic processes shaped the distribution and frequency of disease-associated variants over time. Furthermore, local adaptation to new environmental conditions-including pathogens-has generated strong patterns of differentiation at particular loci. Researchers are also beginning to uncover the genetic architecture of complex diseases, affected by many variants of small effect. The field of population genomics thus holds great potential for providing further insights into the evolution of human disease.


Assuntos
Doenças Genéticas Inatas/epidemiologia , Doenças Genéticas Inatas/etiologia , Metagenômica/métodos , Adaptação Fisiológica/genética , Alelos , Evolução Molecular , Frequência do Gene/genética , Deriva Genética , Variação Genética/genética , Genética Populacional/métodos , Genômica/métodos , Humanos , Metagenômica/tendências , Modelos Genéticos , Filogenia
2.
Cell ; 163(3): 571-82, 2015 Oct 22.
Artigo em Inglês | MEDLINE | ID: mdl-26496604

RESUMO

The bacteria Yersinia pestis is the etiological agent of plague and has caused human pandemics with millions of deaths in historic times. How and when it originated remains contentious. Here, we report the oldest direct evidence of Yersinia pestis identified by ancient DNA in human teeth from Asia and Europe dating from 2,800 to 5,000 years ago. By sequencing the genomes, we find that these ancient plague strains are basal to all known Yersinia pestis. We find the origins of the Yersinia pestis lineage to be at least two times older than previous estimates. We also identify a temporal sequence of genetic changes that lead to increased virulence and the emergence of the bubonic plague. Our results show that plague infection was endemic in the human populations of Eurasia at least 3,000 years before any historical recordings of pandemics.


Assuntos
Peste/microbiologia , Yersinia pestis/classificação , Yersinia pestis/isolamento & purificação , Animais , Ásia , DNA Bacteriano/genética , Europa (Continente) , História Antiga , História Medieval , Humanos , Peste/história , Peste/transmissão , Sifonápteros/microbiologia , Dente/microbiologia , Yersinia pestis/genética
3.
Proc Natl Acad Sci U S A ; 112(12): 3669-73, 2015 Mar 24.
Artigo em Inglês | MEDLINE | ID: mdl-25755263

RESUMO

Between 1500 and 1850, more than 12 million enslaved Africans were transported to the New World. The vast majority were shipped from West and West-Central Africa, but their precise origins are largely unknown. We used genome-wide ancient DNA analyses to investigate the genetic origins of three enslaved Africans whose remains were recovered on the Caribbean island of Saint Martin. We trace their origins to distinct subcontinental source populations within Africa, including Bantu-speaking groups from northern Cameroon and non-Bantu speakers living in present-day Nigeria and Ghana. To our knowledge, these findings provide the first direct evidence for the ethnic origins of enslaved Africans, at a time for which historical records are scarce, and demonstrate that genomic data provide another type of record that can shed new light on long-standing historical questions.


Assuntos
Pessoas Escravizadas , Genética Populacional , Estudo de Associação Genômica Ampla , África/etnologia , Algoritmos , Arqueologia , Teorema de Bayes , População Negra/genética , Região do Caribe/etnologia , Cromossomos Humanos Y/genética , Análise por Conglomerados , DNA Mitocondrial/genética , Escravização , Etnicidade/genética , Marcadores Genéticos , Genoma Humano , Haplótipos , Humanos , Funções Verossimilhança , Análise de Componente Principal , Probabilidade , Análise de Sequência de DNA
4.
Proc Natl Acad Sci U S A ; 111(13): 4922-7, 2014 Apr 01.
Artigo em Inglês | MEDLINE | ID: mdl-24639531

RESUMO

The extinction of New Zealand's moa (Aves: Dinornithiformes) followed the arrival of humans in the late 13th century and was the final event of the prehistoric Late Quaternary megafauna extinctions. Determining the state of the moa populations in the pre-extinction period is fundamental to understanding the causes of the event. We sampled 281 moa individuals and combined radiocarbon dating with ancient DNA analyses to help resolve the extinction debate and gain insights into moa biology. The samples, which were predominantly from the last 4,000 years preceding the extinction, represent four sympatric moa species excavated from five adjacent fossil deposits. We characterized the moa assemblage using mitochondrial DNA and nuclear microsatellite markers developed specifically for moa. Although genetic diversity differed significantly among the four species, we found that the millennia preceding the extinction were characterized by a remarkable degree of genetic stability in all species, with no loss of heterozygosity and no shifts in allele frequencies over time. The extinction event itself was too rapid to be manifested in the moa gene pools. Contradicting previous claims of a decline in moa before Polynesian settlement in New Zealand, our findings indicate that the populations were large and stable before suddenly disappearing. This interpretation is supported by approximate Bayesian computation analyses. Our analyses consolidate the disappearance of moa as the most rapid, human-facilitated megafauna extinction documented to date.


Assuntos
Aves/fisiologia , Extinção Biológica , Animais , Teorema de Bayes , Aves/genética , Calibragem , DNA Mitocondrial/genética , Variação Genética , Geografia , Humanos , Dados de Sequência Molecular , Nova Zelândia , Fatores de Tempo
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