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Dive into the research topics where Alexandra Sockell is active.

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Featured researches published by Alexandra Sockell.


Cell | 2017

An Unexpectedly Complex Architecture for Skin Pigmentation in Africans

Alicia R. Martin; Meng Lin; Julie M. Granka; Justin W. Myrick; Xiaomin Liu; Alexandra Sockell; Elizabeth G. Atkinson; Cedric J. Werely; Marlo Möller; Manjinder S. Sandhu; David M. Kingsley; Eileen G. Hoal; Xiao Liu; Mark J. Daly; Marcus W. Feldman; Christopher R. Gignoux; Carlos Bustamante; Brenna M. Henn

Approximately 15 genes have been directly associated with skin pigmentation variation in humans, leading to its characterization as a relatively simple trait. However, by assembling a global survey of quantitative skin pigmentation phenotypes, we demonstrate that pigmentation is more complex than previously assumed, with genetic architecture varying by latitude. We investigate polygenicity in the KhoeSan populations indigenous to southern Africa who have considerably lighter skin than equatorial Africans. We demonstrate that skin pigmentation is highly heritable, but known pigmentation loci explain only a small fraction of the variance. Rather, baseline skin pigmentation is a complex, polygenic trait in the KhoeSan. Despite this, we identify canonical and non-canonical skin pigmentation loci, including near SLC24A5, TYRP1, SMARCA2/VLDLR, and SNX13, using a genome-wide association approach complemented by targeted resequencing. By considering diverse, under-studied African populations, we show how the architecture of skin pigmentation can vary across humans subject to different local evolutionary pressures.


PLOS Genetics | 2016

GBStools: A Statistical Method for Estimating Allelic Dropout in Reduced Representation Sequencing Data

Thomas F. Cooke; Muh-Ching Yee; Marina Muzzio; Alexandra Sockell; Ryan T. Bell; Omar E. Cornejo; Joanna L. Kelley; Graciela Bailliet; Claudio M. Bravi; Carlos Bustamante; Eimear E. Kenny

Reduced representation sequencing methods such as genotyping-by-sequencing (GBS) enable low-cost measurement of genetic variation without the need for a reference genome assembly. These methods are widely used in genetic mapping and population genetics studies, especially with non-model organisms. Variant calling error rates, however, are higher in GBS than in standard sequencing, in particular due to restriction site polymorphisms, and few computational tools exist that specifically model and correct these errors. We developed a statistical method to remove errors caused by restriction site polymorphisms, implemented in the software package GBStools. We evaluated it in several simulated data sets, varying in number of samples, mean coverage and population mutation rate, and in two empirical human data sets (N = 8 and N = 63 samples). In our simulations, GBStools improved genotype accuracy more than commonly used filters such as Hardy-Weinberg equilibrium p-values. GBStools is most effective at removing genotype errors in data sets over 100 samples when coverage is 40X or higher, and the improvement is most pronounced in species with high genomic diversity. We also demonstrate the utility of GBS and GBStools for human population genetic inference in Argentine populations and reveal widely varying individual ancestry proportions and an excess of singletons, consistent with recent population growth.


Molecular Ecology | 2017

Complexities of gene expression patterns in natural populations of an extremophile fish (Poecilia mexicana, Poeciliidae)

Courtney N. Passow; Anthony P. Brown; Lenin Arias-Rodriguez; Muh Ching Yee; Alexandra Sockell; Manfred Schartl; Wesley C. Warren; Carlos Bustamante; Joanna L. Kelley; Michael Tobler

Variation in gene expression can provide insights into organismal responses to environmental stress and physiological mechanisms mediating adaptation to habitats with contrasting environmental conditions. We performed an RNA‐sequencing experiment to quantify gene expression patterns in fish adapted to habitats with different combinations of environmental stressors, including the presence of toxic hydrogen sulphide (H2S) and the absence of light in caves. We specifically asked how gene expression varies among populations living in different habitats, whether population differences were consistent among organs, and whether there is evidence for shared expression responses in populations exposed to the same stressors. We analysed organ‐specific transcriptome‐wide data from four ecotypes of Poecilia mexicana (nonsulphidic surface, sulphidic surface, nonsulphidic cave and sulphidic cave). The majority of variation in gene expression was correlated with organ type, and the presence of specific environmental stressors elicited unique expression differences among organs. Shared patterns of gene expression between populations exposed to the same environmental stressors increased with levels of organismal organization (from transcript to gene to physiological pathway). In addition, shared patterns of gene expression were more common between populations from sulphidic than populations from cave habitats, potentially indicating that physiochemical stressors with clear biochemical consequences can constrain the diversity of adaptive solutions that mitigate their adverse effects. Overall, our analyses provided insights into transcriptional variation in a unique system, in which adaptation to H2S and darkness coincide. Functional annotations of differentially expressed genes provide a springboard for investigating physiological mechanisms putatively underlying adaptation to extreme environments.


PLOS ONE | 2017

Admixture mapping in two Mexican samples identifies significant associations of locus ancestry with triglyceride levels in the BUD13/ZNF259/APOA5 region and fine mapping points to rs964184 as the main driver of the association signal

Esteban J. Parra; Andrew Mazurek; Christopher R. Gignoux; Alexandra Sockell; Michael Agostino; Andrew P. Morris; Lauren E. Petty; Craig L. Hanis; Nancy J. Cox; Adán Valladares-Salgado; Jennifer E. Below; Miguel A. Cruz

We carried out an admixture mapping study of lipid traits in two samples from Mexico City. Native American locus ancestry was significantly associated with triglyceride levels in a broad region of chromosome 11 overlapping the BUD13, ZNF259 and APOA5 genes. In our fine-mapping analysis of this region using dense genome-wide data, rs964184 is the only marker included in the 99% credible set of SNPs, providing strong support for rs964184 as the causal variant within this region. The frequency of the allele associated with increased triglyceride concentrations (rs964184-G) is between 30–40% higher in Native American populations from Mexico than in European populations. The evidence currently available for this variant indicates that it may be exerting its effect through three potential mechanisms: 1) modification of enhancer activity, 2) regulation of the expression of several genes in cis and/or trans, or 3) modification of the methylation patterns of the promoter of the APOA5 gene.


Genome Research | 2018

Whole-genome sequencing of Atacama skeleton shows novel mutations linked with dysplasia

Sanchita Bhattacharya; Jian Li; Alexandra Sockell; Matthew J. Kan; Felice Alessio Bava; Shann-Ching Chen; María C. Ávila-Arcos; Xuhuai Ji; Emery Smith; Narges Bani Asadi; Ralph S. Lachman; Hugo Y. K. Lam; Carlos Bustamante; Atul J. Butte; Garry P. Nolan

Over a decade ago, the Atacama humanoid skeleton (Ata) was discovered in the Atacama region of Chile. The Ata specimen carried a strange phenotype-6-in stature, fewer than expected ribs, elongated cranium, and accelerated bone age-leading to speculation that this was a preserved nonhuman primate, human fetus harboring genetic mutations, or even an extraterrestrial. We previously reported that it was human by DNA analysis with an estimated bone age of about 6-8 yr at the time of demise. To determine the possible genetic drivers of the observed morphology, DNA from the specimen was subjected to whole-genome sequencing using the Illumina HiSeq platform with an average 11.5× coverage of 101-bp, paired-end reads. In total, 3,356,569 single nucleotide variations (SNVs) were found as compared to the human reference genome, 518,365 insertions and deletions (indels), and 1047 structural variations (SVs) were detected. Here, we present the detailed whole-genome analysis showing that Ata is a female of human origin, likely of Chilean descent, and its genome harbors mutations in genes (COL1A1, COL2A1, KMT2D, FLNB, ATR, TRIP11, PCNT) previously linked with diseases of small stature, rib anomalies, cranial malformations, premature joint fusion, and osteochondrodysplasia (also known as skeletal dysplasia). Together, these findings provide a molecular characterization of Atas peculiar phenotype, which likely results from multiple known and novel putative gene mutations affecting bone development and ossification.


Genome | 2018

Whole-genome sequencing reveals the extent of heterozygosity in a preferentially self-fertilizing hermaphroditic vertebrate

Luana S. F. Lins; Shawn Trojahn; Alexandra Sockell; Muh-Ching Yee; Andrey Tatarenkov; Carlos Bustamante; Ryan L. Earley; Joanna L. Kelley

The mangrove rivulus, Kryptolebias marmoratus, is one of only two self-fertilizing hermaphroditic fish species and inhabits mangrove forests. While selfing can be advantageous, it reduces heterozygosity and decreases genetic diversity. Studies using microsatellites found that there are variable levels of selfing among populations of K. marmoratus, but overall, there is a low rate of outcrossing and, therefore, low heterozygosity. In this study, we used whole-genome data to assess the levels of heterozygosity in different lineages of the mangrove rivulus and infer the phylogenetic relationships among those lineages. We sequenced whole genomes from 15 lineages that were completely homozygous at microsatellite loci and used single nucleotide polymorphisms (SNPs) to determine heterozygosity levels. More variation was uncovered than in studies using microsatellite data because of the resolution of full genome sequencing data. Moreover, missense polymorphisms were found most often in genes associated with immune function and reproduction. Inferred phylogenetic relationships suggest that lineages largely group by their geographic distribution. The use of whole-genome data provided further insight into genetic diversity in this unique species. Although this study was limited by the number of lineages that were available, these data suggest that there is previously undescribed variation within lineages of K. marmoratus that could have functional consequences and (or) inform us about the limits to selfing (e.g., genetic load, accumulation of deleterious mutations) and selection that might favor the maintenance of heterozygosity. These results highlight the need to sequence additional individuals within and among lineages.


bioRxiv | 2017

Neolithization of North Africa involved the migration of people from both the Levant and Europe

Rosa Fregel; Fernado L. Mendez; Youssef Bokbot; Dimas Martin-Socas; Maria D. Camalich-Massieu; María C. Ávila-Arcos; Peter A. Underhill; Beth Shapiro; Genevieve L Wojcik; Morten Rasmussen; André E. R. Soares; Joshua Kapp; Alexandra Sockell; Francisco J. Rodriguez-Santos; Abdeslam Mikdad; Jonathan Santana; Aioze Trujillo-Mederos; Carlos Bustamante

The extent to which prehistoric migrations of farmers influenced the genetic pool of western North Africans remains unclear. Archaeological evidence suggests the Neolithization process may have happened through the adoption of innovations by local Epipaleolithic communities, or by demic diffusion from the Eastern Mediterranean shores or Iberia. Here, we present the first analysis of individuals’ genome sequences from early and late Neolithic sites in Morocco, as well as Early Neolithic individuals from southern Iberia. We show that Early Neolithic Moroccans are distinct from any other reported ancient individuals and possess an endemic element retained in present-day Maghrebi populations, confirming a long-term genetic continuity in the region. Among ancient populations, Early Neolithic Moroccans are distantly related to Levantine Natufian hunter-gatherers (∼9,000 BCE) and Pre-Pottery Neolithic farmers (∼6,500 BCE). Although an expansion in Early Neolithic times is also plausible, the high divergence observed in Early Neolithic Moroccans suggests a long-term isolation and an early arrival in North Africa for this population. This scenario is consistent with early Neolithic traditions in North Africa deriving from Epipaleolithic communities who adopted certain innovations from neighbouring populations. Late Neolithic (∼3,000 BCE) Moroccans, in contrast, share an Iberian component, supporting theories of trans-Gibraltar gene flow. Finally, the southern Iberian Early Neolithic samples share the same genetic composition as the Cardial Mediterranean Neolithic culture that reached Iberia ∼5,500 BCE. The cultural and genetic similarities of the Iberian Neolithic cultures with that of North African Neolithic sites further reinforce the model of an Iberian migration into the Maghreb. SIGNIFICANCE STATEMENT The acquisition of agricultural techniques during the so-called Neolithic revolution has been one of the major steps forward in human history. Using next-generation sequencing and ancient DNA techniques, we directly test if Neolithization in North Africa occurred through the transmission of ideas or by demic diffusion. We show that Early Neolithic Moroccans are composed of an endemic Maghrebi element still retained in present-day North African populations and distantly related to Epipaleolithic communities from the Levant. However, late Neolithic individuals from North Africa are admixed, with a North African and a European component. Our results support the idea that the Neolithization of North Africa might have involved both the development of Epipaleolithic communities and the migration of people from Europe.One of the greatest transitions in the human story was the change from hunter-gatherer to farmer. How farming traditions expanded from their birthplace in the Fertile Crescent has always been a matter of contention. Two models were proposed, one involving the movement of people and the other based on the transmission of ideas. Over the last decade, paleogenomics has been instrumental in settling long-disputed archaeological questions1, including those surrounding the Neolithic revolution2. Compared to the extensive genetic work done on Europe and the Near East, the Neolithic transition in North Africa, including the Maghreb, remains largely uncharacterized. Archaeological evidence suggests this process may have happened through an in situ development from Epipaleolithic communities3,4, or by demic diffusion from the Eastern Mediterranean shores5 or Iberia6. In fact,Neolithic pottery in North Africa strongly resembles that of European cultures like Cardial and Andalusian Early Neolithic, the southern-most early farmer culture from Iberia. Here, we present the first analysis of individuals’ genome sequences from early and late Neolithic sites in Morocco, as well as Andalusian Early Neolithic individuals. We show that Early Neolithic Moroccans are distinct from any other reported ancient individuals and possess an endemic element retained in present-day Maghrebi populations, indicating long-term genetic continuity in the region. Among ancient populations, early Neolithic Moroccans share affinities with Levantine Natufian hunter-gatherers (∼9,000 BCE) and Pre-Pottery Neolithic farmers (∼6,500 BCE). Late Neolithic (∼3,000 BCE) Moroccan remains, in comparison, share an Iberian component of a prominent European-wide demic expansion, supporting theories of trans-Gibraltar gene flow. Finally, the Andalusian Early Neolithic samples share the same genetic composition as the Cardial Mediterranean Neolithic culture that reached Iberia ∼5,500 BCE. The cultural and genetic similarities of the Iberian Neolithic cultures with that of North African Neolithic sites further reinforce the model of an Iberian intrusion into the Maghreb.


bioRxiv | 2015

GBStools: A Unified Approach for Reduced Representation Sequencing and Genotyping

Thomas F. Cooke; Muh-Ching Yee; Marina Muzzio; Alexandra Sockell; Ryan T. Bell; Omar E. Cornejo; Joanna L. Kelley; Graciela Bailliet; Claudio M. Bravi; Carlos Bustamante; Eimear E. Kenny

Reduced representation sequencing methods such as genotyping-by-sequencing (GBS) enable low-cost measurement of genetic variation without the need for a reference genome assembly. These methods are widely used in genetic mapping and population genetics studies, especially with non-model organisms. Variant calling error rates, however, are higher in GBS than in standard sequencing, in particular due to restriction site polymorphisms, and few computational tools exist that specifically model and correct these errors. We developed a statistical method to remove errors caused by restriction site polymorphisms, implemented in the software package GBStools. We evaluated it in several simulated data sets, varying in number of samples, mean coverage and population mutation rate, and in two empirical human data sets (N = 8 and N = 63 samples). In our simulations, GBStools improved genotype accuracy more than commonly used filters such as Hardy-Weinberg equilibrium p-values. GBStools is most effective at removing genotype errors in data sets over 100 samples when coverage is 40X or higher, and the improvement is most pronounced in species with high genomic diversity. We also demonstrate the utility of GBS and GBStools for human population genetic inference in Argentine populations and reveal widely varying individual ancestry proportions and an excess of singletons, consistent with recent population growth.


Communications Biology | 2018

Population genomic analyses of the chocolate tree, Theobroma cacao L., provide insights into its domestication process

Omar E. Cornejo; Muh-Ching Yee; Victor Dominguez; Mary E. Andrews; Alexandra Sockell; Erika Strandberg; Donald Livingstone; Conrad Stack; Alberto Romero; Pathmanathan Umaharan; Stefan Royaert; Nilesh R. Tawari; Pauline Ng; Osman A. Gutierrez; Wilbert Phillips; Keithanne Mockaitis; Carlos Bustamante; Juan Carlos Motamayor

Domestication has had a strong impact on the development of modern societies. We sequenced 200 genomes of the chocolate plant Theobroma cacao L. to show for the first time to our knowledge that a single population, the Criollo population, underwent strong domestication ~3600 years ago (95% CI: 2481–13,806 years ago). We also show that during the process of domestication, there was strong selection for genes involved in the metabolism of the colored protectants anthocyanins and the stimulant theobromine, as well as disease resistance genes. Our analyses show that domesticated populations of T. cacao (Criollo) maintain a higher proportion of high-frequency deleterious mutations. We also show for the first time the negative consequences of the increased accumulation of deleterious mutations during domestication on the fitness of individuals (significant reduction in kilograms of beans per hectare per year as Criollo ancestry increases, as estimated from a GLM, P = 0.000425).Omar Cornejo et al. report a genomic analysis of 200 cacao plants (Theobroma cacao L.) representing more than 10 genetically distinct populations. They identify metabolic and disease resistance genes as contributing to the domestication of cacao and show that domesticated populations maintain a high proportion of deleterious mutations.


Proceedings of the National Academy of Sciences of the United States of America | 2018

Ancient genomes from North Africa evidence prehistoric migrations to the Maghreb from both the Levant and Europe

Rosa Fregel; Fernado L. Mendez; Youssef Bokbot; Dimas Martin-Socas; Maria D. Camalich-Massieu; Jonathan Santana; Jacob Morales; María C. Ávila-Arcos; Peter A. Underhill; Beth Shapiro; Genevieve L Wojcik; Morten Rasmussen; André E. R. Soares; Joshua Kapp; Alexandra Sockell; Francisco J. Rodriguez-Santos; Abdeslam Mikdad; Aioze Trujillo-Mederos; Carlos Bustamante

Significance The acquisition of agricultural techniques during the so-called Neolithic revolution has been one of the major steps forward in human history. Using next-generation sequencing and ancient-DNA techniques, we directly test whether Neolithization in North Africa occurred through the transmission of ideas or by demic diffusion. We show that Early Neolithic Moroccans are composed of an endemic Maghrebi element still retained in present-day North African populations, resembling the genetic component observed in Later Stone Age communities from Morocco. However, Late Neolithic individuals from North Africa are admixed, with a North African and a European component. Our results support the idea that the Neolithization of North Africa involved both the development of Epipaleolithic communities and the migration of people from Europe. The extent to which prehistoric migrations of farmers influenced the genetic pool of western North Africans remains unclear. Archaeological evidence suggests that the Neolithization process may have happened through the adoption of innovations by local Epipaleolithic communities or by demic diffusion from the Eastern Mediterranean shores or Iberia. Here, we present an analysis of individuals’ genome sequences from Early and Late Neolithic sites in Morocco and from Early Neolithic individuals from southern Iberia. We show that Early Neolithic Moroccans (∼5,000 BCE) are similar to Later Stone Age individuals from the same region and possess an endemic element retained in present-day Maghrebi populations, confirming a long-term genetic continuity in the region. This scenario is consistent with Early Neolithic traditions in North Africa deriving from Epipaleolithic communities that adopted certain agricultural techniques from neighboring populations. Among Eurasian ancient populations, Early Neolithic Moroccans are distantly related to Levantine Natufian hunter-gatherers (∼9,000 BCE) and Pre-Pottery Neolithic farmers (∼6,500 BCE). Late Neolithic (∼3,000 BCE) Moroccans, in contrast, share an Iberian component, supporting theories of trans-Gibraltar gene flow and indicating that Neolithization of North Africa involved both the movement of ideas and people. Lastly, the southern Iberian Early Neolithic samples share the same genetic composition as the Cardial Mediterranean Neolithic culture that reached Iberia ∼5,500 BCE. The cultural and genetic similarities between Iberian and North African Neolithic traditions further reinforce the model of an Iberian migration into the Maghreb.

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Joanna L. Kelley

Washington State University

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Omar E. Cornejo

Washington State University

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María C. Ávila-Arcos

National Autonomous University of Mexico

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Beth Shapiro

University of California

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Conrad Stack

United States Department of Agriculture

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Donald Livingstone

Agricultural Research Service

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