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Son JH, Do H, Han J. Intragenic L1 Insertion: One Possibility of Brain Disorder. Life (Basel) 2022; 12:life12091425. [PMID: 36143463 PMCID: PMC9505610 DOI: 10.3390/life12091425] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2022] [Revised: 08/29/2022] [Accepted: 09/08/2022] [Indexed: 11/17/2022] Open
Abstract
Long interspersed nuclear element 1 (LINE1, L1) is a retrotransposon comprising ~17% of the human genome. A subset of L1s maintains the potential to mobilize and alter the genomic landscape, consequently contributing to the change in genome integrity and gene expression. L1 retrotransposition occurs in the human brain regardless of disease status. However, in the brain of patients with various brain diseases, the expression level and copy number of L1 are significantly increased. In this review, we briefly introduce the methodologies applied to measure L1 mobility and identify genomic loci where new insertion of L1 occurs in the brain. Then, we present a list of genes disrupted by L1 transposition in the genome of patients with brain disorders. Finally, we discuss the association between genes disrupted by L1 and relative brain disorders.
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Affiliation(s)
- Ji-Hoon Son
- Graduate School of Medical Science and Engineering, Korea Advanced Institute for Science and Technology (KAIST), Daejeon 34141, Korea
| | - Hyunsu Do
- Graduate School of Medical Science and Engineering, Korea Advanced Institute for Science and Technology (KAIST), Daejeon 34141, Korea
| | - Jinju Han
- Graduate School of Medical Science and Engineering, Korea Advanced Institute for Science and Technology (KAIST), Daejeon 34141, Korea
- BioMedical Research Center, KAIST, Daejeon 34141, Korea
- Correspondence:
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2
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Prakrithi P, Singhal K, Sharma D, Jain A, Bhoyar RC, Imran M, Senthilvel V, Divakar MK, Mishra A, Scaria V, Sivasubbu S, Mukerji M. An Alu insertion map of the Indian population: identification and analysis in 1021 genomes of the IndiGen project. NAR Genom Bioinform 2022; 4:lqac009. [PMID: 35178516 PMCID: PMC8846365 DOI: 10.1093/nargab/lqac009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2021] [Revised: 12/21/2021] [Accepted: 01/25/2022] [Indexed: 11/14/2022] Open
Abstract
Abstract
Actively retrotransposing primate-specific Alu repeats display insertion-deletion (InDel) polymorphism through their insertion at new loci. In the global datasets, Indian populations remain under-represented and so do their Alu InDels. Here, we report the genomic landscape of Alu InDels from the recently released 1021 Indian Genomes (IndiGen) (available at https://clingen.igib.res.in/indigen). We identified 9239 polymorphic Alu insertions that include private (3831), rare (3974) and common (1434) insertions with an average of 770 insertions per individual. We achieved an 89% PCR validation of the predicted genotypes in 94 samples tested. About 60% of identified InDels are unique to IndiGen when compared to other global datasets; 23% of sites were shared with both SGDP and HGSVC; among these, 58% (1289 sites) were common polymorphisms in IndiGen. The insertions not only show a bias for genic regions, with a preference for introns but also for the associated genes showing enrichment for processes like cell morphogenesis and neurogenesis (P-value < 0.05). Approximately, 60% of InDels mapped to genes present in the OMIM database. Finally, we show that 558 InDels can serve as ancestry informative markers to segregate global populations. This study provides a valuable resource for baseline Alu InDels that would be useful in population genomics.
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Affiliation(s)
- P Prakrithi
- CSIR Institute of Genomics and Integrative Biology, Mathura Road, New Delhi 110025, India
| | - Khushboo Singhal
- CSIR Institute of Genomics and Integrative Biology, Mathura Road, New Delhi 110025, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, Uttar Pradesh, India
| | - Disha Sharma
- CSIR Institute of Genomics and Integrative Biology, Mathura Road, New Delhi 110025, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, Uttar Pradesh, India
| | - Abhinav Jain
- CSIR Institute of Genomics and Integrative Biology, Mathura Road, New Delhi 110025, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, Uttar Pradesh, India
| | - Rahul C Bhoyar
- CSIR Institute of Genomics and Integrative Biology, Mathura Road, New Delhi 110025, India
| | - Mohamed Imran
- CSIR Institute of Genomics and Integrative Biology, Mathura Road, New Delhi 110025, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, Uttar Pradesh, India
| | - Vigneshwar Senthilvel
- CSIR Institute of Genomics and Integrative Biology, Mathura Road, New Delhi 110025, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, Uttar Pradesh, India
| | - Mohit Kumar Divakar
- CSIR Institute of Genomics and Integrative Biology, Mathura Road, New Delhi 110025, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, Uttar Pradesh, India
| | - Anushree Mishra
- CSIR Institute of Genomics and Integrative Biology, Mathura Road, New Delhi 110025, India
| | - Vinod Scaria
- CSIR Institute of Genomics and Integrative Biology, Mathura Road, New Delhi 110025, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, Uttar Pradesh, India
| | - Sridhar Sivasubbu
- CSIR Institute of Genomics and Integrative Biology, Mathura Road, New Delhi 110025, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, Uttar Pradesh, India
| | - Mitali Mukerji
- CSIR Institute of Genomics and Integrative Biology, Mathura Road, New Delhi 110025, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, Uttar Pradesh, India
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3
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Watkins WS, Feusier JE, Thomas J, Goubert C, Mallick S, Jorde LB. The Simons Genome Diversity Project: A Global Analysis of Mobile Element Diversity. Genome Biol Evol 2021; 12:779-794. [PMID: 32359137 PMCID: PMC7290288 DOI: 10.1093/gbe/evaa086] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/24/2020] [Indexed: 12/30/2022] Open
Abstract
Ongoing retrotransposition of Alu, LINE-1, and SINE–VNTR–Alu elements generates diversity and variation among human populations. Previous analyses investigating the population genetics of mobile element insertions (MEIs) have been limited by population ascertainment bias or by relatively small numbers of populations and low sequencing coverage. Here, we use 296 individuals representing 142 global populations from the Simons Genome Diversity Project (SGDP) to discover and characterize MEI diversity from deeply sequenced whole-genome data. We report 5,742 MEIs not originally reported by the 1000 Genomes Project and show that high sampling diversity leads to a 4- to 7-fold increase in MEI discovery rates over the original 1000 Genomes Project data. As a result of negative selection, nonreference polymorphic MEIs are underrepresented within genes, and MEIs within genes are often found in the transcriptional orientation opposite that of the gene. Globally, 80% of Alu subfamilies predate the expansion of modern humans from Africa. Polymorphic MEIs show heterozygosity gradients that decrease from Africa to Eurasia to the Americas, and the number of MEIs found uniquely in a single individual are also distributed in this general pattern. The maximum fraction of MEI diversity partitioned among the seven major SGDP population groups (FST) is 7.4%, similar to, but slightly lower than, previous estimates and likely attributable to the diverse sampling strategy of the SGDP. Finally, we utilize these MEIs to extrapolate the primary Native American shared ancestry component to back to Asia and provide new evidence from genome-wide identical-by-descent genetic markers that add additional support for a southeastern Siberian origin for most Native Americans.
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Affiliation(s)
| | | | - Jainy Thomas
- Department of Human Genetics, University of Utah
| | - Clement Goubert
- Department of Molecular Biology and Genetics, Cornell University
| | - Swapon Mallick
- Department of Genetics, Harvard Medical School, Boston, Massachusetts
| | - Lynn B Jorde
- Department of Human Genetics, University of Utah
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4
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Haselhorst MSH, Parchman TL, Buerkle CA. Genetic evidence for species cohesion, substructure and hybrids in spruce. Mol Ecol 2019; 28:2029-2045. [DOI: 10.1111/mec.15056] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2017] [Revised: 02/10/2019] [Accepted: 02/11/2019] [Indexed: 12/18/2022]
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Steely CJ, Baker JN, Walker JA, Loupe CD, Batzer MA. Analysis of lineage-specific Alu subfamilies in the genome of the olive baboon, Papio anubis. Mob DNA 2018; 9:10. [PMID: 29560044 PMCID: PMC5858127 DOI: 10.1186/s13100-018-0115-6] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2017] [Accepted: 03/13/2018] [Indexed: 02/08/2023] Open
Abstract
Background Alu elements are primate-specific retroposons that mobilize using the enzymatic machinery of L1Â s. The recently completed baboon genome project found that the mobilization rate of Alu elements is higher than in the genome of any other primate studied thus far. However, the Alu subfamily structure present in and specific to baboons had not been examined yet. Results Here we report 129 Alu subfamilies that are propagating in the genome of the olive baboon, with 127 of these subfamilies being new and specific to the baboon lineage. We analyzed 233 Alu insertions in the genome of the olive baboon using locus specific polymerase chain reaction assays, covering 113 of the 129 subfamilies. The allele frequency data from these insertions show that none of the nine groups of subfamilies are nearing fixation in the lineage. Conclusions Many subfamilies of Alu elements are actively mobilizing throughout the baboon lineage, with most being specific to the baboon lineage.
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Affiliation(s)
- Cody J Steely
- Department of Biological Sciences, Louisiana State University, 202 Life Sciences Bldg., Baton Rouge, LA 70803 USA
| | - Jasmine N Baker
- Department of Biological Sciences, Louisiana State University, 202 Life Sciences Bldg., Baton Rouge, LA 70803 USA
| | - Jerilyn A Walker
- Department of Biological Sciences, Louisiana State University, 202 Life Sciences Bldg., Baton Rouge, LA 70803 USA
| | - Charles D Loupe
- Department of Biological Sciences, Louisiana State University, 202 Life Sciences Bldg., Baton Rouge, LA 70803 USA
| | | | - Mark A Batzer
- Department of Biological Sciences, Louisiana State University, 202 Life Sciences Bldg., Baton Rouge, LA 70803 USA
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6
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Boissinot S, Sookdeo A. The Evolution of LINE-1 in Vertebrates. Genome Biol Evol 2018; 8:3485-3507. [PMID: 28175298 PMCID: PMC5381506 DOI: 10.1093/gbe/evw247] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/03/2016] [Indexed: 12/21/2022] Open
Abstract
The abundance and diversity of the LINE-1 (L1) retrotransposon differ greatly among vertebrates. Mammalian genomes contain hundreds of thousands L1s that have accumulated since the origin of mammals. A single group of very similar elements is active at a time in mammals, thus a single lineage of active families has evolved in this group. In contrast, non-mammalian genomes (fish, amphibians, reptiles) harbor a large diversity of concurrently transposing families, which are all represented by very small number of recently inserted copies. Why the pattern of diversity and abundance of L1 is so different among vertebrates remains unknown. To address this issue, we performed a detailed analysis of the evolution of active L1 in 14 mammals and in 3 non-mammalian vertebrate model species. We examined the evolution of base composition and codon bias, the general structure, and the evolution of the different domains of L1 (5′UTR, ORF1, ORF2, 3′UTR). L1s differ substantially in length, base composition, and structure among vertebrates. The most variation is found in the 5′UTR, which is longer in amniotes, and in the ORF1, which tend to evolve faster in mammals. The highly divergent L1 families of lizard, frog, and fish share species-specific features suggesting that they are subjected to the same functional constraints imposed by their host. The relative conservation of the 5′UTR and ORF1 in non-mammalian vertebrates suggests that the repression of transposition by the host does not act in a sequence-specific manner and did not result in an arms race, as is observed in mammals.
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7
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Steely CJ, Walker JA, Jordan VE, Beckstrom TO, McDaniel CL, St. Romain CP, Bennett EC, Robichaux A, Clement BN, Raveendran M, Worley KC, Phillips-Conroy J, Jolly CJ, Rogers J, Konkel MK, Batzer MA. Alu Insertion Polymorphisms as Evidence for Population Structure in Baboons. Genome Biol Evol 2017; 9:2418-2427. [PMID: 28957465 PMCID: PMC5622324 DOI: 10.1093/gbe/evx184] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/07/2017] [Indexed: 12/25/2022] Open
Abstract
Male dispersal from the natal group at or near maturity is a feature of most baboon (Papio) species. It potentially has profound effects upon population structure and evolutionary processes, but dispersal, especially for unusually long distances, is not readily documented by direct field observation. In this pilot study, we investigate the possibility of retrieving baboon population structure in yellow (Papio cynocephalus) and kinda (Papio kindae) baboons from the distribution of variation in a genome-wide set of 494 Alu insertion polymorphisms, made available via the recently completed Baboon Genome Analysis Consortium. Alu insertion variation in a mixed population derived from yellow and olive (Papio anubis) baboons identified each individual's proportion of heritage from either parental species. In an unmixed yellow baboon population, our analysis showed greater similarity between neighboring than between more distantly situated groups, suggesting structuring of the population by male dispersal distance. Finally (and very provisionally), an unexpectedly sharp difference in Alu insertion frequencies between members of neighboring social groups of kinda baboons suggests that intergroup migration may be more rare than predicted in this little known species.
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Affiliation(s)
- Cody J. Steely
- Department of Biological Sciences, Louisiana State University
| | | | | | | | | | | | | | - Arianna Robichaux
- Department of Biological Sciences, Louisiana State University
- Department of Biological and Physical Sciences, Northwestern State University of Louisiana
| | - Brooke N. Clement
- Department of Biological Sciences, Louisiana State University
- School of Veterinary Medicine, Louisiana State University
| | | | | | - Kim C. Worley
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas
| | | | | | - Jeff Rogers
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas
| | | | - Mark A. Batzer
- Department of Biological Sciences, Louisiana State University
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8
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Useful parasites: the evolutionary biology and biotechnology applications of transposable elements. J Genet 2017; 95:1039-1052. [PMID: 27994207 DOI: 10.1007/s12041-016-0702-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
Transposable elements usually comprise the most abundant nongenic fraction of eukaryotic genomes. Because of their capacity to selfreplicate and to induce a wide range of mutations, transposable elements have long been considered as 'parasitic' or 'selfish'. Today, we recognize that the findings about genomic changes affected by transposable elements have considerably altered our view of the ways in which genomes evolve and work. Numerous studies have provided evidences that mobile elements have the potential to act as agents of evolution by increasing, rearranging and diversifying the genetic repertoire of their hosts. With large-scale sequencing becoming increasingly available, more and more scientists come across transposable element sequences in their data. I will provide examples that transposable elements, although having signatures of 'selfish' DNA, play a significant biological role in the maintainance of genome integrity and providing novel regulatoty networks. These features, along with the transpositional and mutagenic capacity to produce a raw genetic diversity, make the genome mobile fraction, a key player in species adaptation and microevolution. The last but not least, transposable elements stand as informative DNA markers that may complement other conventional DNA markers. Altogether, transposable elements represent a promising, but still largely unexplored research niche and deserve to be included into the agenda of molecular ecologists, evolutionary geneticists, conservation biologists and plant breeders.
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9
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Rishishwar L, Wang L, Clayton EA, Mariño-RamÃrez L, McDonald JF, Jordan IK. Population and clinical genetics of human transposable elements in the (post) genomic era. Mob Genet Elements 2017; 7:1-20. [PMID: 28228978 PMCID: PMC5305044 DOI: 10.1080/2159256x.2017.1280116] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2016] [Revised: 01/03/2017] [Accepted: 01/04/2017] [Indexed: 10/26/2022] Open
Abstract
Recent technological developments-in genomics, bioinformatics and high-throughput experimental techniques-are providing opportunities to study ongoing human transposable element (TE) activity at an unprecedented level of detail. It is now possible to characterize genome-wide collections of TE insertion sites for multiple human individuals, within and between populations, and for a variety of tissue types. Comparison of TE insertion site profiles between individuals captures the germline activity of TEs and reveals insertion site variants that segregate as polymorphisms among human populations, whereas comparison among tissue types ascertains somatic TE activity that generates cellular heterogeneity. In this review, we provide an overview of these new technologies and explore their implications for population and clinical genetic studies of human TEs. We cover both recent published results on human TE insertion activity as well as the prospects for future TE studies related to human evolution and health.
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Affiliation(s)
- Lavanya Rishishwar
- School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, USA; PanAmerican Bioinformatics Institute, Cali, Colombia; Applied Bioinformatics Laboratory, Atlanta, GA, USA
| | - Lu Wang
- School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, USA; PanAmerican Bioinformatics Institute, Cali, Colombia
| | - Evan A Clayton
- School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, USA; Ovarian Cancer Institute, Atlanta, GA, USA
| | - Leonardo Mariño-RamÃrez
- PanAmerican Bioinformatics Institute, Cali, Colombia; National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - John F McDonald
- School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, USA; Ovarian Cancer Institute, Atlanta, GA, USA
| | - I King Jordan
- School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, USA; PanAmerican Bioinformatics Institute, Cali, Colombia; Applied Bioinformatics Laboratory, Atlanta, GA, USA
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10
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Gompert Z, Buerkle CA. What, if anything, are hybrids: enduring truths and challenges associated with population structure and gene flow. Evol Appl 2016; 9:909-23. [PMID: 27468308 PMCID: PMC4947152 DOI: 10.1111/eva.12380] [Citation(s) in RCA: 66] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2015] [Accepted: 02/27/2016] [Indexed: 01/17/2023] Open
Abstract
Hybridization is a potent evolutionary process that can affect the origin, maintenance, and loss of biodiversity. Because of its ecological and evolutionary consequences, an understanding of hybridization is important for basic and applied sciences, including conservation biology and agriculture. Herein, we review and discuss ideas that are relevant to the recognition of hybrids and hybridization. We supplement this discussion with simulations. The ideas we present have a long history, particularly in botany, and clarifying them should have practical consequences for managing hybridization and gene flow in plants. One of our primary goals is to illustrate what we can and cannot infer about hybrids and hybridization from molecular data; in other words, we ask when genetic analyses commonly used to study hybridization might mislead us about the history or nature of gene flow and selection. We focus on patterns of variation when hybridization is recent and populations are polymorphic, which are particularly informative for applied issues, such as contemporary hybridization following recent ecological change. We show that hybridization is not a singular process, but instead a collection of related processes with variable outcomes and consequences. Thus, it will often be inappropriate to generalize about the threats or benefits of hybridization from individual studies, and at minimum, it will be important to avoid categorical thinking about what hybridization and hybrids are. We recommend potential sampling and analytical approaches that should help us confront these complexities of hybridization.
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Abstract
Transposable elements have had a profound impact on the structure and function of mammalian genomes. The retrotransposon Long INterspersed Element-1 (LINE-1 or L1), by virtue of its replicative mobilization mechanism, comprises ∼17% of the human genome. Although the vast majority of human LINE-1 sequences are inactive molecular fossils, an estimated 80-100 copies per individual retain the ability to mobilize by a process termed retrotransposition. Indeed, LINE-1 is the only active, autonomous retrotransposon in humans and its retrotransposition continues to generate both intra-individual and inter-individual genetic diversity. Here, we briefly review the types of transposable elements that reside in mammalian genomes. We will focus our discussion on LINE-1 retrotransposons and the non-autonomous Short INterspersed Elements (SINEs) that rely on the proteins encoded by LINE-1 for their mobilization. We review cases where LINE-1-mediated retrotransposition events have resulted in genetic disease and discuss how the characterization of these mutagenic insertions led to the identification of retrotransposition-competent LINE-1s in the human and mouse genomes. We then discuss how the integration of molecular genetic, biochemical, and modern genomic technologies have yielded insight into the mechanism of LINE-1 retrotransposition, the impact of LINE-1-mediated retrotransposition events on mammalian genomes, and the host cellular mechanisms that protect the genome from unabated LINE-1-mediated retrotransposition events. Throughout this review, we highlight unanswered questions in LINE-1 biology that provide exciting opportunities for future research. Clearly, much has been learned about LINE-1 and SINE biology since the publication of Mobile DNA II thirteen years ago. Future studies should continue to yield exciting discoveries about how these retrotransposons contribute to genetic diversity in mammalian genomes.
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12
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Abstract
Background The human genome contains several active families of transposable elements (TE): Alu, L1 and SVA. Germline transposition of these elements can lead to polymorphic TE (polyTE) loci that differ between individuals with respect to the presence/absence of TE insertions. Limited sets of such polyTE loci have proven to be useful as markers of ancestry in human population genetic studies, but until this time it has not been possible to analyze the full genomic complement of TE polymorphisms in this way. Results For the first time here, we have performed a human population genetic analysis based on a genome-wide polyTE data set consisting of 16,192 loci genotyped in 2,504 individuals across 26 human populations. PolyTEs are found at very low frequencies, > 93 % of loci show < 5 % allele frequency, consistent with the deleteriousness of TE insertions. Nevertheless, polyTEs do show substantial geographic differentiation, with numerous group-specific polymorphic insertions. African populations have the highest numbers of polyTEs and show the highest levels of polyTE genetic diversity; Alu is the most numerous and the most diverse polyTE family. PolyTE genotypes were used to compute allele sharing distances between individuals and to relate them within and between human populations. Populations and continental groups show high coherence based on individuals’ polyTE genotypes, and human evolutionary relationships revealed by these genotypes are consistent with those seen for SNP-based genetic distances. The patterns of genetic diversity encoded by TE polymorphisms recapitulate broad patterns of human evolution and migration over the last 60–100,000 years. The utility of polyTEs as ancestry informative markers is further underscored by their ability to accurately predict both ancestry and admixture at the continental level. A genome-wide list of polyTE loci, along with their population group-specific allele frequencies and FST values, is provided as a resource for investigators who wish to develop panels of TE-based ancestry markers. Conclusions The genetic diversity represented by TE polymorphisms reflects known patterns of human evolution, and ensembles of polyTE loci are suitable for both ancestry and admixture analyses. The patterns of polyTE allelic diversity suggest the possibility that there may be a connection between TE-based genetic divergence and population-specific phenotypic differences. ᅟ ![]()
Electronic supplementary material The online version of this article (doi:10.1186/s13100-015-0052-6) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Lavanya Rishishwar
- School of Biology, Georgia Institute of Technology, 310 Ferst Drive, Atlanta, GA 30332-0230 USA ; PanAmerican Bioinformatics Institute, Cali, Valle del Cauca Colombia ; BIOS Centro de Bioinformática y BiologÃa Computacional, Manizales, Caldas Colombia
| | - Carlos E Tellez Villa
- PanAmerican Bioinformatics Institute, Cali, Valle del Cauca Colombia ; Escuela de IngenierÃa de Sistemas y Computación, Universidad del Valle, Santiago de Cali, Colombia
| | - I King Jordan
- School of Biology, Georgia Institute of Technology, 310 Ferst Drive, Atlanta, GA 30332-0230 USA ; PanAmerican Bioinformatics Institute, Cali, Valle del Cauca Colombia ; BIOS Centro de Bioinformática y BiologÃa Computacional, Manizales, Caldas Colombia
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13
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Platt RN, Zhang Y, Witherspoon DJ, Xing J, Suh A, Keith MS, Jorde LB, Stevens RD, Ray DA. Targeted Capture of Phylogenetically Informative Ves SINE Insertions in Genus Myotis. Genome Biol Evol 2015; 7:1664-75. [PMID: 26014613 PMCID: PMC4494050 DOI: 10.1093/gbe/evv099] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023] Open
Abstract
Identification of retrotransposon insertions in nonmodel taxa can be technically challenging and costly. This has inhibited progress in understanding retrotransposon insertion dynamics outside of a few well-studied species. To address this problem, we have extended a retrotransposon-based capture and sequence method (ME-Scan [mobile element scanning]) to identify insertions belonging to the Ves family of short interspersed elements (SINEs) across seven species of the bat genus Myotis. We identified between 120,000 and 143,000 SINE insertions in six taxa lacking a draft genome by comparing to the M. lucifugus reference genome. On average, each Ves insertion was sequenced to 129.6 × coverage. When mapped back to the M. lucifugus reference genome, all insertions were confidently assigned within a 10-bp window. Polymorphic Ves insertions were identified in each taxon based on their mapped locations. Using cross-species comparisons and the identified insertion positions, a presence–absence matrix was created for approximately 796,000 insertions. Dollo parsimony analysis of more than 85,000 phylogenetically informative insertions recovered strongly supported, monophyletic clades that correspond with the biogeography of each taxa. This phylogeny is similar to previously published mitochondrial phylogenies, with the exception of the placement of M. vivesi. These results support the utility of our variation on ME-Scan to identify polymorphic retrotransposon insertions in taxa without a reference genome and for large-scale retrotransposon-based phylogenetics.
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Affiliation(s)
- Roy N Platt
- Department of Biochemistry, Molecular Biology, Entomology and Plant Pathology, Mississippi State University Department of Biological Sciences, Texas Tech University
| | - Yuhua Zhang
- Bionomics Research & Technology Center, Environmental and Occupational Health Science Institute, Rutgers, The State University of New Jersey
| | | | - Jinchuan Xing
- Department of Genetics, Human Genetics Institute of New Jersey, Rutgers, The State University of New Jersey
| | - Alexander Suh
- Department of Evolutionary Biology, Uppsala University, Sweden
| | - Megan S Keith
- Department of Biological Sciences, Texas Tech University
| | - Lynn B Jorde
- Department of Human Genetics, University of Utah Health Sciences Center
| | - Richard D Stevens
- Department of Natural Resources Management and the Museum of Texas Tech University
| | - David A Ray
- Department of Biochemistry, Molecular Biology, Entomology and Plant Pathology, Mississippi State University Department of Biological Sciences, Texas Tech University
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14
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Boissinot S, Alvarez L, Giraldo-Ramirez J, Tollis M. Neutral nuclear variation in Baboons (genus Papio) provides insights into their evolutionary and demographic histories. AMERICAN JOURNAL OF PHYSICAL ANTHROPOLOGY 2014; 155:621-34. [PMID: 25234435 PMCID: PMC4339869 DOI: 10.1002/ajpa.22618] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/11/2014] [Revised: 08/20/2014] [Accepted: 09/08/2014] [Indexed: 12/31/2022]
Abstract
Baboons (genus Papio) are distributed over most of sub-Saharan Africa and in the southern portion of the Arabian Peninsula. Six distinct morphotypes, with clearly defined geographic distributions, are recognized (the olive, chacma, yellow, Guinea, Kinda, and hamadryas baboons). The evolutionary relationships among baboon forms have long been a controversial issue. Phylogenetic analyses based on mitochondrial DNA sequences revealed that the modern baboon morphotypes are mitochondrially paraphyletic or polyphyletic. The discordance between mitochondrial lineages and morphology is indicative of extensive introgressive hybridization between ancestral baboon populations. To gain insights into the evolutionary relationships among morphotypes and their demographic history, we performed an analysis of nuclear variation in baboons. We sequenced 13 noncoding, putatively neutral, nuclear regions, and scored the presence/absence of 18 polymorphic transposable elements in a sample of 45 baboons belonging to five of the six recognized baboon forms. We found that the chacma baboon is the sister-taxon to all other baboons and the yellow baboon is the sister-taxon to an unresolved northern clade containing the olive, Guinea, and hamadryas baboons. We estimated that the diversification of baboons occurred entirely in the Pleistocene, the earliest split dating ∼1.5 million years ago, and that baboons have experienced relatively large and constant effective population sizes for most of their evolutionary history (∼30,000 to 95,000 individuals).
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Affiliation(s)
- Stéphane Boissinot
- Department of Biology, Queens College, the City University of New York, Queens, NY, USA
- Ecology, Evolutionary Biology and Behavior, Graduate Center, the City University of New York, New York, NY, USA
| | - Lauren Alvarez
- Department of Biology, Queens College, the City University of New York, Queens, NY, USA
| | | | - Marc Tollis
- Department of Biology, Queens College, the City University of New York, Queens, NY, USA
- Ecology, Evolutionary Biology and Behavior, Graduate Center, the City University of New York, New York, NY, USA
- School of Life Sciences, Arizona State University, 427 E Tyler Mall, Tempe, AZ, USA
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15
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Kamath PL, Elleder D, Bao L, Cross PC, Powell JH, Poss M. The population history of endogenous retroviruses in mule deer (Odocoileus hemionus). J Hered 2013; 105:173-87. [PMID: 24336966 DOI: 10.1093/jhered/est088] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Mobile elements are powerful agents of genomic evolution and can be exceptionally informative markers for investigating species and population-level evolutionary history. While several studies have utilized retrotransposon-based insertional polymorphisms to resolve phylogenies, few population studies exist outside of humans. Endogenous retroviruses are LTR-retrotransposons derived from retroviruses that have become stably integrated in the host genome during past infections and transmitted vertically to subsequent generations. They offer valuable insight into host-virus co-evolution and a unique perspective on host evolutionary history because they integrate into the genome at a discrete point in time. We examined the evolutionary history of a cervid endogenous gammaretrovirus (CrERVγ) in mule deer (Odocoileus hemionus). We sequenced 14 CrERV proviruses (CrERV-in1 to -in14), and examined the prevalence and distribution of 13 proviruses in 262 deer among 15 populations from Montana, Wyoming, and Utah. CrERV absence in white-tailed deer (O. virginianus), identical 5' and 3' long terminal repeat (LTR) sequences, insertional polymorphism, and CrERV divergence time estimates indicated that most endogenization events occurred within the last 200000 years. Population structure inferred from CrERVs (F ST = 0.008) and microsatellites (θ = 0.01) was low, but significant, with Utah, northwestern Montana, and a Helena herd being particularly differentiated. Clustering analyses indicated regional structuring, and non-contiguous clustering could often be explained by known translocations. Cluster ensemble results indicated spatial localization of viruses, specifically in deer from northeastern and western Montana. This study demonstrates the utility of endogenous retroviruses to elucidate and provide novel insight into both ERV evolutionary history and the history of contemporary host populations.
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Affiliation(s)
- Pauline L Kamath
- the US Geological Survey, Northern Rocky Mountain Science Center, Bozeman, MT 59715
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16
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Ade C, Roy-Engel AM, Deininger PL. Alu elements: an intrinsic source of human genome instability. Curr Opin Virol 2013; 3:639-45. [PMID: 24080407 PMCID: PMC3982648 DOI: 10.1016/j.coviro.2013.09.002] [Citation(s) in RCA: 72] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2013] [Accepted: 09/09/2013] [Indexed: 11/29/2022]
Abstract
Alu elements are ∼300bp sequences that have amplified via an RNA intermediate leading to the accumulation of over 1 million copies in the human genome. Although a few of the copies are active, Alu germline activity is the highest of all human retrotransposons and does significantly contribute to genetic disease and population diversity. There are two basic mechanisms by which Alu elements contribute to disease: through insertional mutagenesis and as a large source of repetitive sequences that contribute to nonallelic homologous recombination (NAHR) that cause genetic deletions and duplications.
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Affiliation(s)
- Catherine Ade
- Tulane University, Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane Cancer Center, Consortium Of Mobile Elements at Tulane)
| | - Astrid M. Roy-Engel
- Tulane University, Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane Cancer Center, Consortium Of Mobile Elements at Tulane)
| | - Prescott L. Deininger
- Tulane University, Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane Cancer Center, Consortium Of Mobile Elements at Tulane)
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17
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Gompert Z, Buerkle CA. Analyses of genetic ancestry enable key insights for molecular ecology. Mol Ecol 2013; 22:5278-94. [DOI: 10.1111/mec.12488] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2013] [Revised: 08/05/2013] [Accepted: 08/08/2013] [Indexed: 12/15/2022]
Affiliation(s)
| | - C. Alex Buerkle
- Department of Botany; University of Wyoming; Laramie WY 82071 USA
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18
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Witherspoon DJ, Zhang Y, Xing J, Watkins WS, Ha H, Batzer MA, Jorde LB. Mobile element scanning (ME-Scan) identifies thousands of novel Alu insertions in diverse human populations. Genome Res 2013; 23:1170-81. [PMID: 23599355 PMCID: PMC3698510 DOI: 10.1101/gr.148973.112] [Citation(s) in RCA: 58] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
Abstract
Alu retrotransposons are the most numerous and active mobile elements in humans, causing genetic disease and creating genomic diversity. Mobile element scanning (ME-Scan) enables comprehensive and affordable identification of mobile element insertions (MEI) using targeted high-throughput sequencing of multiplexed MEI junction libraries. In a single experiment, ME-Scan identifies nearly all AluYb8 and AluYb9 elements, with high sensitivity for both rare and common insertions, in 169 individuals of diverse ancestry. ME-Scan detects heterozygous insertions in single individuals with 91% sensitivity. Insertion presence or absence states determined by ME-Scan are 95% concordant with those determined by locus-specific PCR assays. By sampling diverse populations from Africa, South Asia, and Europe, we are able to identify 5799 Alu insertions, including 2524 novel ones, some of which occur in exons. Sub-Saharan populations and a Pygmy group in particular carry numerous intermediate-frequency Alu insertions that are absent in non-African groups. There is a significant dearth of exon-interrupting insertions among common Alu polymorphisms, but the density of singleton Alu insertions is constant across exonic and nonexonic regions. In one case, a validated novel singleton Alu interrupts a protein-coding exon of FAM187B. This implies that exonic Alu insertions are generally deleterious and thus eliminated by natural selection, but not so quickly that they cannot be observed as extremely rare variants.
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Affiliation(s)
- David J Witherspoon
- Department of Human Genetics, Eccles Institute of Human Genetics, University of Utah, Salt Lake City, Utah 84112, USA.
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Xing J, Witherspoon DJ, Jorde LB. Mobile element biology: new possibilities with high-throughput sequencing. Trends Genet 2013; 29:280-9. [PMID: 23312846 DOI: 10.1016/j.tig.2012.12.002] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2012] [Revised: 11/20/2012] [Accepted: 12/11/2012] [Indexed: 12/29/2022]
Abstract
Mobile elements comprise more than half of the human genome, but until recently their large-scale detection was time consuming and challenging. With the development of new high-throughput sequencing (HTS) technologies, the complete spectrum of mobile element variation in humans can now be identified and analyzed. Thousands of new mobile element insertions (MEIs) have been discovered, yielding new insights into mobile element biology, evolution, and genomic variation. Here, we review several high-throughput methods, with an emphasis on techniques that specifically target MEIs in humans. We highlight recent applications of these methods in evolutionary studies and in the analysis of somatic alterations in human normal and tumor tissues.
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Affiliation(s)
- Jinchuan Xing
- Department of Genetics, Human Genetic Institute of New Jersey, Rutgers, State University of New Jersey, Piscataway, NJ 08854, USA
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20
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Tal O. Two complementary perspectives on inter-individual genetic distance. Biosystems 2012; 111:18-36. [PMID: 22898797 DOI: 10.1016/j.biosystems.2012.07.005] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2012] [Revised: 07/17/2012] [Accepted: 07/20/2012] [Indexed: 11/29/2022]
Abstract
This paper examines population structure through the prism of pairwise genetic distances. Two complementary perspectives, framed as two simple questions, are explored: Q1: What is the probability that a random pair of individuals from the same local population is more genetically dissimilar than a random pair from two distinct populations? Q2: On average, how genetically different are two individuals from the same local population, in comparison with two individuals chosen from any two distinct populations? Models are developed to provide quantitative answers for the two questions, given allele frequencies across any number of markers from two diploid populations. The probability from Q1 is shown to drop to zero with increasing number of genetic markers even for very closely-related populations and rare alleles. The average genetic dissimilarity of two individuals from distinct populations diverges from the average dissimilarity of two individuals from the same population by a percentage dependent on estimates of population differentiation. This perspective also suggests a measure of population distance based on the intuitive notion of pairwise genetic distance, along with a simple method of estimation. Results from recent empirical research on inter-individual genetic distance in human populations are analyzed in the context of the theoretical framework.
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Affiliation(s)
- Omri Tal
- School of Philosophy and The Cohn Institute for the History and Philosophy of Science and Ideas, Tel Aviv University, Tel Aviv 69978, Israel.
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21
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Meyer TJ, McLain AT, Oldenburg JM, Faulk C, Bourgeois MG, Conlin EM, Mootnick AR, de Jong PJ, Roos C, Carbone L, Batzer MA. An Alu-based phylogeny of gibbons (hylobatidae). Mol Biol Evol 2012; 29:3441-50. [PMID: 22683814 DOI: 10.1093/molbev/mss149] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
Gibbons (Hylobatidae) are small, arboreal apes indigenous to Southeast Asia that diverged from other apes ∼15-18 Ma. Extant lineages radiated rapidly 6-10 Ma and are organized into four genera (Hylobates, Hoolock, Symphalangus, and Nomascus) consisting of 12-19 species. The use of short interspersed elements (SINEs) as phylogenetic markers has seen recent popularity due to several desirable characteristics: the ancestral state of a locus is known to be the absence of an element, rare potentially homoplasious events are relatively easy to resolve, and samples can be quickly and inexpensively genotyped. During radiation of primates, one particular family of SINEs, the Alu family, has proliferated in primate genomes. Nomascus leucogenys (northern white-cheeked gibbon) sequences were analyzed for repetitive content with RepeatMasker using a custom library. The sequences containing Alu elements identified as members of a gibbon-specific subfamily were then compared with orthologous positions in other primate genomes. A primate phylogenetic panel consisting of 18 primate species, including 13 gibbon species representing all four extant genera, was assayed for all loci, and a total of 125 gibbon-specific Alu insertions were identified. The resulting amplification patterns were used to generate a phylogenetic tree. We demonstrate significant support for Symphalangus as the most basal lineage within the family. Our findings also place Nomascus as a derived lineage, sister to Hoolock, with the Nomascus-Hoolock clade sister to Hylobates. Further, our analysis groups N. leucogenys and Nomascus siki as sister taxa to the exclusion of the other Nomascus species assayed. This study represents the first use of SINEs to determine the genus level phylogenetic relationships within the family Hylobatidae. These relationships have been resolved with robust support at most internal nodes, demonstrating the utility of SINE-based phylogenetic analysis. We postulate that hybridization and rapid radiation may have contributed to the complex and contradictory findings of the previous studies. Our findings will aid in the conservation of these threatened primates and inform future studies of the biogeographical history and distribution of modern gibbon species.
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Affiliation(s)
- Thomas J Meyer
- Department of Biological Sciences, Louisiana State University
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22
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Abstract
Transposons are DNA sequences capable of moving in genomes. Early evidence showed their accumulation in many species and suggested their continued activity in at least isolated organisms. In the past decade, with the development of various genomic technologies, it has become abundantly clear that ongoing activity is the rule rather than the exception. Active transposons of various classes are observed throughout plants and animals, including humans. They continue to create new insertions, have an enormous variety of structural and functional impact on genes and genomes, and play important roles in genome evolution. Transposon activities have been identified and measured by employing various strategies. Here, we summarize evidence of current transposon activity in various plant and animal genomes.
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Affiliation(s)
- Cheng Ran Lisa Huang
- Institute of Genetic Medicine and High Throughput Biology Center, Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, USA
| | - Kathleen H. Burns
- Department of Pathology, Department of Oncology, and High Throughput Biology Center, Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, USA
| | - Jef D. Boeke
- Molecular Biology and Genetics, Institute of Genetic Medicine, and High Throughput Biology Center, Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, USA
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23
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Ray DA, Batzer MA. Reading TE leaves: new approaches to the identification of transposable element insertions. Genome Res 2011; 21:813-20. [PMID: 21632748 PMCID: PMC3106314 DOI: 10.1101/gr.110528.110] [Citation(s) in RCA: 49] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
Transposable elements (TEs) are a tremendous source of genome instability and genetic variation. Of particular interest to investigators of human biology and human evolution are retrotransposon insertions that are recent and/or polymorphic in the human population. As a consequence, the ability to assay large numbers of polymorphic TEs in a given genome is valuable. Five recent manuscripts each propose methods to scan whole human genomes to identify, map, and, in some cases, genotype polymorphic retrotransposon insertions in multiple human genomes simultaneously. These technologies promise to revolutionize our ability to analyze human genomes for TE-based variation important to studies of human variability and human disease. Furthermore, the approaches hold promise for researchers interested in nonhuman genomic variability. Herein, we explore the methods reported in the manuscripts and discuss their applications to aspects of human biology and the biology of other organisms.
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Affiliation(s)
- David A. Ray
- Department of Biochemistry and Molecular Biology, Mississippi State University, Mississippi State, Mississippi 39762, USA
| | - Mark A. Batzer
- Department of Biological Sciences, Louisiana State University, Baton Rouge, Louisiana 70803, USA
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24
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Haerian BS, Lim KS, Tan HJ, Wong CP, Wong SW, Tan CT, Raymond AA, Mohamed Z. Lack of association between synapsin II (SYN2) gene polymorphism and susceptibility epilepsy: a case-control study and meta-analysis. Synapse 2011; 65:1073-9. [PMID: 21465568 DOI: 10.1002/syn.20939] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2011] [Accepted: 03/24/2011] [Indexed: 11/06/2022]
Abstract
OBJECTIVE The SYN2 rs3773364 A>G polymorphism has been proposed to be involved in susceptibility to epilepsy, but research results have been inconclusive. The aim of this study was to investigate the association between the SYN2 rs3773364 A>G polymorphism and susceptibility against epilepsy in a case-control study and a meta-analysis. METHODS The SYN2 rs3773364 A>G polymorphism was successfully genotyped in 1182 samples (618 epilepsy patients) of Chinese, Indian, and Malay ethnicities. Meta-analysis of the related studies, including this case-control study, was performed under alternative genetic models. RESULTS Data from the case-control study indicated no allelic and genotypic association of this locus with susceptibility to epilepsy in the tri-ethnic Malaysian population. Similar finding was obtained by stratified analysis by epilepsy syndrome for idiopathic epilepsy. These results were verified by meta-analysis of the related pooled data. CONCLUSIONS Our study indicated that SYN2 rs3773364 A>G polymorphism is not a risk factor for susceptibility to epilepsy.
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Affiliation(s)
- Batoul Sadat Haerian
- Pharmacogenomics Laboratory, Department of Pharmacology, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia.
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25
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Affiliation(s)
- Miriam K Konkel
- Department of Biological Sciences, Louisiana State University, 202 Life Sciences Bldg., Baton Rouge, LA 70803, USA
| | - Jerilyn A Walker
- Department of Biological Sciences, Louisiana State University, 202 Life Sciences Bldg., Baton Rouge, LA 70803, USA
| | - Mark A Batzer
- Department of Biological Sciences, Louisiana State University, 202 Life Sciences Bldg., Baton Rouge, LA 70803, USA
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26
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27
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Epigenetic control of retrotransposon expression in human embryonic stem cells. Mol Cell Biol 2010; 31:300-16. [PMID: 21041477 DOI: 10.1128/mcb.00561-10] [Citation(s) in RCA: 103] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023] Open
Abstract
Long interspersed element 1s (LINE-1s or L1s) are a family of non-long-terminal-repeat retrotransposons that predominate in the human genome. Active LINE-1 elements encode proteins required for their mobilization. L1-encoded proteins also act in trans to mobilize short interspersed elements (SINEs), such as Alu elements. L1 and Alu insertions have been implicated in many human diseases, and their retrotransposition provides an ongoing source of human genetic diversity. L1/Alu elements are expected to ensure their transmission to subsequent generations by retrotransposing in germ cells or during early embryonic development. Here, we determined that several subfamilies of Alu elements are expressed in undifferentiated human embryonic stem cells (hESCs) and that most expressed Alu elements are active elements. We also exploited expression from the L1 antisense promoter to map expressed elements in hESCs. Remarkably, we found that expressed Alu elements are enriched in the youngest subfamily, Y, and that expressed L1s are mostly located within genes, suggesting an epigenetic control of retrotransposon expression in hESCs. Together, these data suggest that distinct subsets of active L1/Alu elements are expressed in hESCs and that the degree of somatic mosaicism attributable to L1 insertions during early development may be higher than previously anticipated.
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28
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Ewing AD, Kazazian HH. Whole-genome resequencing allows detection of many rare LINE-1 insertion alleles in humans. Genome Res 2010; 21:985-90. [PMID: 20980553 DOI: 10.1101/gr.114777.110] [Citation(s) in RCA: 105] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
High-throughput sequencing has recently begun to revolutionize the study of structural variants in the genomes of humans and other species. More recently, this technology and others have been applied to the study of human retrotransposon insertion polymorphisms (RIPs), yielding an unprecedented catalog of common and rare variants due to insertional mutagenesis. At the same time, the 1000 Genomes Project has released an enormous amount of whole-genome sequence data. In this article, we present evidence for 1016 L1 insertions across all studies to date that are not represented in the reference human genome assembly, many of which appear to be specific to populations or groups of populations, particularly Africans. Additionally, a cross-comparison of several studies shows that, on average, 27% of surveyed nonreference insertions is present in only one study, indicating the low frequency of many RIPs.
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Affiliation(s)
- Adam D Ewing
- The McKusick-Nathans Institute for Genetic Medicine, The Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, USA
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29
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Raaum RL, Wang AB, Al-Meeri AM, Mulligan CJ. Efficient population assignment and outlier detection in human populations using biallelic markers chosen by principal component-based rankings. Biotechniques 2010; 48:449-54. [PMID: 20569219 DOI: 10.2144/000113426] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Whole-genome studies of genetic variation are now performed routinely and have accelerated the identification of disease-associated allelic variants, positive selection, recombination, and structural variation. However, these studies are sensitive to the presence of outlier data from individuals of different ancestry than the rest of the sample. Currently, the most common method of excluding outlier individuals is to collect a population sample and exclude outliers after genome-wide data have been collected. Here we show that a small collection of 20-27 polymorphic Alu insertions, selected using a principal component-based method with genetic ancestry estimates, may be used to easily assign Africans, East Asians, and Europeans to their population of origin. In addition, we show that samples from a geographically and genetically intermediate population (in our study, samples from India) can be identified within the original sample of Africans, East Asians, and Europeans. Finally, we show that outlier individuals from neighboring geographic regions (in our study, Yemen and sub-Saharan Africa) can be identified. These results will be of value in preselection of samples for more in-depth analysis as well as customized identification of maximally informative polymorphic markers for regional studies.
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Affiliation(s)
- Ryan L Raaum
- Department of Anthropology, Lehman College, The City University of New York, The Bronx, NY, USA.
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30
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Xing J, Watkins WS, Shlien A, Walker E, Huff CD, Witherspoon DJ, Zhang Y, Simonson TS, Weiss RB, Schiffman JD, Malkin D, Woodward SR, Jorde LB. Toward a more uniform sampling of human genetic diversity: a survey of worldwide populations by high-density genotyping. Genomics 2010; 96:199-210. [PMID: 20643205 DOI: 10.1016/j.ygeno.2010.07.004] [Citation(s) in RCA: 65] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2010] [Revised: 07/09/2010] [Accepted: 07/13/2010] [Indexed: 12/24/2022]
Abstract
High-throughput genotyping data are useful for making inferences about human evolutionary history. However, the populations sampled to date are unevenly distributed, and some areas (e.g., South and Central Asia) have rarely been sampled in large-scale studies. To assess human genetic variation more evenly, we sampled 296 individuals from 13 worldwide populations that are not covered by previous studies. By combining these samples with a data set from our laboratory and the HapMap II samples, we assembled a final dataset of ~250,000 SNPs in 850 individuals from 40 populations. With more uniform sampling, the estimate of global genetic differentiation (F(ST)) substantially decreases from ~16% with the HapMap II samples to ~11%. A panel of copy number variations typed in the same populations shows patterns of diversity similar to the SNP data, with highest diversity in African populations. This unique sample collection also permits new inferences about human evolutionary history. The comparison of haplotype variation among populations supports a single out-of-Africa migration event and suggests that the founding population of Eurasia may have been relatively large but isolated from Africans for a period of time. We also found a substantial affinity between populations from central Asia (Kyrgyzstani and Mongolian Buryat) and America, suggesting a central Asian contribution to New World founder populations.
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Affiliation(s)
- Jinchuan Xing
- Department of Human Genetics, Eccles Institute of Human Genetics, University of Utah, Salt Lake City, UT 84112, USA
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31
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Mobile interspersed repeats are major structural variants in the human genome. Cell 2010; 141:1171-82. [PMID: 20602999 DOI: 10.1016/j.cell.2010.05.026] [Citation(s) in RCA: 198] [Impact Index Per Article: 14.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2010] [Revised: 03/29/2010] [Accepted: 05/13/2010] [Indexed: 01/22/2023]
Abstract
Characterizing structural variants in the human genome is of great importance, but a genome wide analysis to detect interspersed repeats has not been done. Thus, the degree to which mobile DNAs contribute to genetic diversity, heritable disease, and oncogenesis remains speculative. We perform transposon insertion profiling by microarray (TIP-chip) to map human L1(Ta) retrotransposons (LINE-1 s) genome-wide. This identified numerous novel human L1(Ta) insertional polymorphisms with highly variant allelic frequencies. We also explored TIP-chip's usefulness to identify candidate alleles associated with different phenotypes in clinical cohorts. Our data suggest that the occurrence of new insertions is twice as high as previously estimated, and that these repeats are under-recognized as sources of human genomic and phenotypic diversity. We have just begun to probe the universe of human L1(Ta) polymorphisms, and as TIP-chip is applied to other insertions such as Alu SINEs, it will expand the catalog of genomic variants even further.
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32
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Witherspoon DJ, Xing J, Zhang Y, Watkins WS, Batzer MA, Jorde LB. Mobile element scanning (ME-Scan) by targeted high-throughput sequencing. BMC Genomics 2010; 11:410. [PMID: 20591181 PMCID: PMC2996938 DOI: 10.1186/1471-2164-11-410] [Citation(s) in RCA: 75] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2010] [Accepted: 06/30/2010] [Indexed: 11/10/2022] Open
Abstract
Background Mobile elements (MEs) are diverse, common and dynamic inhabitants of nearly all genomes. ME transposition generates a steady stream of polymorphic genetic markers, deleterious and adaptive mutations, and substrates for further genomic rearrangements. Research on the impacts, population dynamics, and evolution of MEs is constrained by the difficulty of ascertaining rare polymorphic ME insertions that occur against a large background of pre-existing fixed elements and then genotyping them in many individuals. Results Here we present a novel method for identifying nearly all insertions of a ME subfamily in the whole genomes of multiple individuals and simultaneously genotyping (for presence or absence) those insertions that are variable in the population. We use ME-specific primers to construct DNA libraries that contain the junctions of all ME insertions of the subfamily, with their flanking genomic sequences, from many individuals. Individual-specific "index" sequences are designed into the oligonucleotide adapters used to construct the individual libraries. These libraries are then pooled and sequenced using a ME-specific sequencing primer. Mobile element insertion loci of the target subfamily are uniquely identified by their junction sequence, and all insertion junctions are linked to their individual libraries by the corresponding index sequence. To test this method's feasibility, we apply it to the human AluYb8 and AluYb9 subfamilies. In four individuals, we identified a total of 2,758 AluYb8 and AluYb9 insertions, including nearly all those that are present in the reference genome, as well as 487 that are not. Index counts show the sequenced products from each sample reflect the intended proportions to within 1%. At a sequencing depth of 355,000 paired reads per sample, the sensitivity and specificity of ME-Scan are both approximately 95%. Conclusions Mobile Element Scanning (ME-Scan) is an efficient method for quickly genotyping mobile element insertions with very high sensitivity and specificity. In light of recent improvements to high-throughput sequencing technology, it should be possible to employ ME-Scan to genotype insertions of almost any mobile element family in many individuals from any species.
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Affiliation(s)
- David J Witherspoon
- Dept. of Human Genetics, University of Utah Health Sciences Center, Salt Lake City, Utah 84112, USA.
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Ewing AD, Kazazian HH. High-throughput sequencing reveals extensive variation in human-specific L1 content in individual human genomes. Genome Res 2010; 20:1262-70. [PMID: 20488934 DOI: 10.1101/gr.106419.110] [Citation(s) in RCA: 224] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
Using high-throughput sequencing, we devised a technique to determine the insertion sites of virtually all members of the human-specific L1 retrotransposon family in any human genome. Using diagnostic nucleotides, we were able to locate the approximately 800 L1Hs copies corresponding specifically to the pre-Ta, Ta-0, and Ta-1 L1Hs subfamilies, with over 90% of sequenced reads corresponding to human-specific elements. We find that any two individual genomes differ at an average of 285 sites with respect to L1 insertion presence or absence. In total, we assayed 25 individuals, 15 of which are unrelated, at 1139 sites, including 772 shared with the reference genome and 367 nonreference L1 insertions. We show that L1Hs profiles recapitulate genetic ancestry, and determine the chromosomal distribution of these elements. Using these data, we estimate that the rate of L1 retrotransposition in humans is between 1/95 and 1/270 births, and the number of dimorphic L1 elements in the human population with gene frequencies greater than 0.05 is between 3000 and 10,000.
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Affiliation(s)
- Adam D Ewing
- University of Pennsylvania Department of Genetics, Philadelphia, Pennsylvania 19104, USA
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Mamedov IZ, Shagina IA, Kurnikova MA, Novozhilov SN, Shagin DA, Lebedev YB. A new set of markers for human identification based on 32 polymorphic Alu insertions. Eur J Hum Genet 2010; 18:808-14. [PMID: 20179741 DOI: 10.1038/ejhg.2010.22] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Abstract
A number of genetic systems for human genetic identification based on short tandem repeats or single nucleotide polymorphisms are widely used for crime detection, kinship studies and in analysis of victims of mass disasters. Here, we have developed a new set of 32 molecular genetic markers for human genetic identification based on polymorphic retroelement insertions. Allele frequencies were determined in a group of 90 unrelated individuals from four genetically distant populations of the Russian Federation. The mean match probability and probability of paternal exclusion, calculated based on population data, were 5.53 x 10(-14) and 99.784%, respectively. The developed system is cheap and easy to use as compared to all previously published methods. The application of fluorescence-based methods for allele discrimination allows to use the human genetic identification set in automatic and high-throughput formats.
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Affiliation(s)
- Ilgar Z Mamedov
- Laboratory of Comparative and Functional Genomics, Shemyakin and Ovchinnikov Institute of Bioorganic Chemistry RAS, Miklukho-Maklaya, Moscow, Russia.
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Mourier T, Willerslev E. Retrotransposons and non-protein coding RNAs. BRIEFINGS IN FUNCTIONAL GENOMICS AND PROTEOMICS 2009; 8:493-501. [PMID: 19729447 DOI: 10.1093/bfgp/elp036] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
Retrotransposons constitute a significant fraction of mammalian genomes. Considering the finding of widespread transcriptional activity across entire genomes, it is not surprising that retrotransposons contribute to the collective RNA pool. However, the transcriptional output from retrotransposons does not merely represent spurious transcription. We review examples of functional RNAs transcribed from retrotransposons, and address the collection of non-protein coding RNAs derived from transposable element sequences, including numerous human microRNAs and the neuronal BC RNAs. Finally, we review the emerging understanding of how retrotransposons themselves are regulated by small RNAs.
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Affiliation(s)
- Tobias Mourier
- Natural History Museum of Denmark, University of Copenhagen, Universitetsparken 15, DK-2100 Copenhagen, Denmark.
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36
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Nassir R, Kosoy R, Tian C, White PA, Butler LM, Silva G, Kittles R, Alarcon-Riquelme ME, Gregersen PK, Belmont JW, De La Vega FM, Seldin MF. An ancestry informative marker set for determining continental origin: validation and extension using human genome diversity panels. BMC Genet 2009; 10:39. [PMID: 19630973 PMCID: PMC2728728 DOI: 10.1186/1471-2156-10-39] [Citation(s) in RCA: 117] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2008] [Accepted: 07/24/2009] [Indexed: 02/04/2023] Open
Abstract
BACKGROUND Case-control genetic studies of complex human diseases can be confounded by population stratification. This issue can be addressed using panels of ancestry informative markers (AIMs) that can provide substantial population substructure information. Previously, we described a panel of 128 SNP AIMs that were designed as a tool for ascertaining the origins of subjects from Europe, Sub-Saharan Africa, Americas, and East Asia. RESULTS In this study, genotypes from Human Genome Diversity Panel populations were used to further evaluate a 93 SNP AIM panel, a subset of the 128 AIMS set, for distinguishing continental origins. Using both model-based and relatively model-independent methods, we here confirm the ability of this AIM set to distinguish diverse population groups that were not previously evaluated. This study included multiple population groups from Oceana, South Asia, East Asia, Sub-Saharan Africa, North and South America, and Europe. In addition, the 93 AIM set provides population substructure information that can, for example, distinguish Arab and Ashkenazi from Northern European population groups and Pygmy from other Sub-Saharan African population groups. CONCLUSION These data provide additional support for using the 93 AIM set to efficiently identify continental subject groups for genetic studies, to identify study population outliers, and to control for admixture in association studies.
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Affiliation(s)
- Rami Nassir
- Rowe Program in Human Genetics, Departments of Biochemistry and Medicine, University of California Davis, Davis, CA 95616, USA.
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Abstract
The HeLa cell line is the oldest, most widely distributed, permanent human cell line. As a nearly ubiquitous inhabitant of laboratories using tissue culture techniques, its aggressive growth characteristics make it a problematic contaminant that can overgrow less robust cell lines. Consequently, HeLa contamination is common in both the research laboratory and cell line repository contexts, and its detection is hampered by the lack of a rapid, sensitive and robust assay. Here we report the development of a HeLa-specific DNA diagnostic test: a single duplex detection PCR assay targeting an L1 retrotransposon insertion. All HeLa clones from a geographically diverse panel were positive by this assay, and the particular L1 insertion we identified appears to be unique to the HeLa cell line. The assay can detect very low levels of HeLa contamination (<1%), and can be performed on un-purified cell pellets, allowing rapid routine screening.
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Xing J, Watkins WS, Witherspoon DJ, Zhang Y, Guthery SL, Thara R, Mowry BJ, Bulayeva K, Weiss RB, Jorde LB. Fine-scaled human genetic structure revealed by SNP microarrays. Genes Dev 2009; 19:815-25. [PMID: 19411602 PMCID: PMC2675970 DOI: 10.1101/gr.085589.108] [Citation(s) in RCA: 76] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2008] [Accepted: 01/05/2009] [Indexed: 01/13/2023]
Abstract
We report an analysis of more than 240,000 loci genotyped using the Affymetrix SNP microarray in 554 individuals from 27 worldwide populations in Africa, Asia, and Europe. To provide a more extensive and complete sampling of human genetic variation, we have included caste and tribal samples from two states in South India, Daghestanis from eastern Europe, and the Iban from Malaysia. Consistent with observations made by Charles Darwin, our results highlight shared variation among human populations and demonstrate that much genetic variation is geographically continuous. At the same time, principal components analyses reveal discernible genetic differentiation among almost all identified populations in our sample, and in most cases, individuals can be clearly assigned to defined populations on the basis of SNP genotypes. All individuals are accurately classified into continental groups using a model-based clustering algorithm, but between closely related populations, genetic and self-classifications conflict for some individuals. The 250K data permitted high-level resolution of genetic variation among Indian caste and tribal populations and between highland and lowland Daghestani populations. In particular, upper-caste individuals from Tamil Nadu and Andhra Pradesh form one defined group, lower-caste individuals from these two states form another, and the tribal Irula samples form a third. Our results emphasize the correlation of genetic and geographic distances and highlight other elements, including social factors that have contributed to population structure.
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Affiliation(s)
- Jinchuan Xing
- Department of Human Genetics, Eccles Institute of Human Genetics, University of Utah, Salt Lake City, Utah 84112, USA
| | - W. Scott Watkins
- Department of Human Genetics, Eccles Institute of Human Genetics, University of Utah, Salt Lake City, Utah 84112, USA
| | - David J. Witherspoon
- Department of Human Genetics, Eccles Institute of Human Genetics, University of Utah, Salt Lake City, Utah 84112, USA
| | - Yuhua Zhang
- Department of Human Genetics, Eccles Institute of Human Genetics, University of Utah, Salt Lake City, Utah 84112, USA
| | - Stephen L. Guthery
- Department of Pediatrics, University of Utah, Salt Lake City, Utah 84108, USA
| | | | - Bryan J. Mowry
- Queensland Centre for Mental Health Research, The Park-Centre for Mental Health, Brisbane 4076, Australia
- Department of Psychiatry, University of Queensland, Brisbane 4029, Australia
| | - Kazima Bulayeva
- N.I. Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow 117991, Russia
| | - Robert B. Weiss
- Department of Human Genetics, Eccles Institute of Human Genetics, University of Utah, Salt Lake City, Utah 84112, USA
| | - Lynn B. Jorde
- Department of Human Genetics, Eccles Institute of Human Genetics, University of Utah, Salt Lake City, Utah 84112, USA
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Atkinson QD, Gray RD, Drummond AJ. Bayesian coalescent inference of major human mitochondrial DNA haplogroup expansions in Africa. Proc Biol Sci 2009; 276:367-73. [PMID: 18826938 DOI: 10.1098/rspb.2008.0785] [Citation(s) in RCA: 65] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Past population size can be estimated from modern genetic diversity using coalescent theory. Estimates of ancestral human population dynamics in sub-Saharan Africa can tell us about the timing and nature of our first steps towards colonizing the globe. Here, we combine Bayesian coalescent inference with a dataset of 224 complete human mitochondrial DNA (mtDNA) sequences to estimate effective population size through time for each of the four major African mtDNA haplogroups (L0-L3). We find evidence of three distinct demographic histories underlying the four haplogroups. Haplogroups L0 and L1 both show slow, steady exponential growth from 156 to 213kyr ago. By contrast, haplogroups L2 and L3 show evidence of substantial growth beginning 12-20 and 61-86kyr ago, respectively. These later expansions may be associated with contemporaneous environmental and/or cultural changes. The timing of the L3 expansion--8-12kyr prior to the emergence of the first non-African mtDNA lineages--together with high L3 diversity in eastern Africa, strongly supports the proposal that the human exodus from Africa and subsequent colonization of the globe was prefaced by a major expansion within Africa, perhaps driven by some form of cultural innovation.
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Affiliation(s)
- Quentin D Atkinson
- Institute of Cognitive and Evolutionary Anthropology, University of Oxford, 64 Banbury Road, Oxford OX2 6PN, UK.
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40
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Genetic variation in South Indian castes: evidence from Y-chromosome, mitochondrial, and autosomal polymorphisms. BMC Genet 2008; 9:86. [PMID: 19077280 PMCID: PMC2621241 DOI: 10.1186/1471-2156-9-86] [Citation(s) in RCA: 30] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2008] [Accepted: 12/12/2008] [Indexed: 02/04/2023] Open
Abstract
Background Major population movements, social structure, and caste endogamy have influenced the genetic structure of Indian populations. An understanding of these influences is increasingly important as gene mapping and case-control studies are initiated in South Indian populations. Results We report new data on 155 individuals from four Tamil caste populations of South India and perform comparative analyses with caste populations from the neighboring state of Andhra Pradesh. Genetic differentiation among Tamil castes is low (RST = 0.96% for 45 autosomal short tandem repeat (STR) markers), reflecting a largely common origin. Nonetheless, caste- and continent-specific patterns are evident. For 32 lineage-defining Y-chromosome SNPs, Tamil castes show higher affinity to Europeans than to eastern Asians, and genetic distance estimates to the Europeans are ordered by caste rank. For 32 lineage-defining mitochondrial SNPs and hypervariable sequence (HVS) 1, Tamil castes have higher affinity to eastern Asians than to Europeans. For 45 autosomal STRs, upper and middle rank castes show higher affinity to Europeans than do lower rank castes from either Tamil Nadu or Andhra Pradesh. Local between-caste variation (Tamil Nadu RST = 0.96%, Andhra Pradesh RST = 0.77%) exceeds the estimate of variation between these geographically separated groups (RST = 0.12%). Low, but statistically significant, correlations between caste rank distance and genetic distance are demonstrated for Tamil castes using Y-chromosome, mtDNA, and autosomal data. Conclusion Genetic data from Y-chromosome, mtDNA, and autosomal STRs are in accord with historical accounts of northwest to southeast population movements in India. The influence of ancient and historical population movements and caste social structure can be detected and replicated in South Indian caste populations from two different geographic regions.
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42
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Schwartz MK, McKelvey KS. Why sampling scheme matters: the effect of sampling scheme on landscape genetic results. CONSERV GENET 2008. [DOI: 10.1007/s10592-008-9622-1] [Citation(s) in RCA: 191] [Impact Index Per Article: 11.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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Xing J, Witherspoon DJ, Watkins WS, Zhang Y, Tolpinrud W, Jorde LB. HapMap tagSNP transferability in multiple populations: general guidelines. Genomics 2008; 92:41-51. [PMID: 18482828 DOI: 10.1016/j.ygeno.2008.03.011] [Citation(s) in RCA: 26] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2008] [Revised: 03/26/2008] [Accepted: 03/28/2008] [Indexed: 11/30/2022]
Abstract
Linkage disequilibrium (LD) has received much attention recently because of its value in localizing disease-causing genes. Due to the extensive LD between neighboring loci in the human genome, it is believed that a subset of the single nucleotide polymorphisms in a region (tagSNPs) can be selected to capture most of the remaining SNP variants. In this study, we examined LD patterns and HapMap tagSNP transferability in more than 300 individuals. A South Indian sample and an African Mbuti Pygmy population sample were included to evaluate the performance of HapMap tagSNPs in geographically distinct and genetically isolated populations. Our results show that HapMap tagSNPs selected with r(2) >= 0.8 can capture more than 85% of the SNPs in populations that are from the same continental group. Combined tagSNPs from HapMap CEU and CHB+JPT serve as the best reference for the Indian sample. The HapMap YRI are a sufficient reference for tagSNP selection in the Pygmy sample. In addition to our findings, we reviewed over 25 recent studies of tagSNP transferability and propose a general guideline for selecting tagSNPs from HapMap populations.
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Affiliation(s)
- Jinchuan Xing
- Department of Human Genetics, Eccles Institute of Human Genetics, University of Utah, Salt Lake City, UT 84112, USA
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44
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Xing J, Witherspoon DJ, Ray DA, Batzer MA, Jorde LB. Mobile DNA elements in primate and human evolution. AMERICAN JOURNAL OF PHYSICAL ANTHROPOLOGY 2008; Suppl 45:2-19. [PMID: 18046749 DOI: 10.1002/ajpa.20722] [Citation(s) in RCA: 106] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
Abstract
Roughly 50% of the primate genome consists of mobile, repetitive DNA sequences such as Alu and LINE1 elements. The causes and evolutionary consequences of mobile element insertion, which have received considerable attention during the past decade, are reviewed in this article. Because of their unique mutational mechanisms, these elements are highly useful for answering phylogenetic questions. We demonstrate how they have been used to help resolve a number of questions in primate phylogeny, including the human-chimpanzee-gorilla trichotomy and New World primate phylogeny. Alu and LINE1 element insertion polymorphisms have also been analyzed in human populations to test hypotheses about human evolution and population affinities and to address forensic issues. Finally, these elements have had impacts on the genome itself. We review how they have influenced fundamental ongoing processes like nonhomologous recombination, genomic deletion, and X chromosome inactivation.
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Affiliation(s)
- Jinchuan Xing
- Department of Human Genetics, University of Utah Health Sciences Center, Salt Lake City, UT 84112, USA
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45
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Underhill PA, Kivisild T. Use of Y Chromosome and Mitochondrial DNA Population Structure in Tracing Human Migrations. Annu Rev Genet 2007; 41:539-64. [PMID: 18076332 DOI: 10.1146/annurev.genet.41.110306.130407] [Citation(s) in RCA: 308] [Impact Index Per Article: 18.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Peter A. Underhill
- Department of Genetics, Stanford University School of Medicine, Stanford, California 94305-5120;
| | - Toomas Kivisild
- Leverhulme Center of Human Evolutionary Studies, University of Cambridge, Cambridge CB2 1QH, United Kingdom;
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46
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Wang S, Lewis CM, Jakobsson M, Ramachandran S, Ray N, Bedoya G, Rojas W, Parra MV, Molina JA, Gallo C, Mazzotti G, Poletti G, Hill K, Hurtado AM, Labuda D, Klitz W, Barrantes R, Bortolini MC, Salzano FM, Petzl-Erler ML, Tsuneto LT, Llop E, Rothhammer F, Excoffier L, Feldman MW, Rosenberg NA, Ruiz-Linares A. Genetic variation and population structure in native Americans. PLoS Genet 2007; 3:e185. [PMID: 18039031 PMCID: PMC2082466 DOI: 10.1371/journal.pgen.0030185] [Citation(s) in RCA: 347] [Impact Index Per Article: 20.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2007] [Accepted: 09/10/2007] [Indexed: 01/04/2023] Open
Abstract
We examined genetic diversity and population structure in the American landmass using 678 autosomal microsatellite markers genotyped in 422 individuals representing 24 Native American populations sampled from North, Central, and South America. These data were analyzed jointly with similar data available in 54 other indigenous populations worldwide, including an additional five Native American groups. The Native American populations have lower genetic diversity and greater differentiation than populations from other continental regions. We observe gradients both of decreasing genetic diversity as a function of geographic distance from the Bering Strait and of decreasing genetic similarity to Siberians--signals of the southward dispersal of human populations from the northwestern tip of the Americas. We also observe evidence of: (1) a higher level of diversity and lower level of population structure in western South America compared to eastern South America, (2) a relative lack of differentiation between Mesoamerican and Andean populations, (3) a scenario in which coastal routes were easier for migrating peoples to traverse in comparison with inland routes, and (4) a partial agreement on a local scale between genetic similarity and the linguistic classification of populations. These findings offer new insights into the process of population dispersal and differentiation during the peopling of the Americas.
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Affiliation(s)
- Sijia Wang
- The Galton Laboratory, Department of Biology, University College London, London, United Kingdom
| | - Cecil M Lewis
- Department of Human Genetics, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Mattias Jakobsson
- Department of Human Genetics, University of Michigan, Ann Arbor, Michigan, United States of America
- Center for Computational Medicine and Biology, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Sohini Ramachandran
- Department of Biological Sciences, Stanford University, Stanford, California, United States of America
| | - Nicolas Ray
- Computational and Molecular Population Genetics Lab, University of Bern, Bern, Switzerland
| | - Gabriel Bedoya
- Laboratorio de Genética Molecular, Universidad de Antioquia, MedellÃn, Colombia
| | - Winston Rojas
- Laboratorio de Genética Molecular, Universidad de Antioquia, MedellÃn, Colombia
| | - Maria V Parra
- Laboratorio de Genética Molecular, Universidad de Antioquia, MedellÃn, Colombia
| | - Julio A Molina
- Center for Neurobehavioral Genetics, University of California Los Angeles, Los Angeles, United States of America
| | - Carla Gallo
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y FilosofÃa, Universidad Peruana Cayetano Heredia, Lima, Perú
| | - Guido Mazzotti
- Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y FilosofÃa, Universidad Peruana Cayetano Heredia, Lima, Perú
| | - Giovanni Poletti
- Facultad de Medicina, Universidad Peruana Cayetano Heredia, Lima, Perú
| | - Kim Hill
- Department of Anthropology, University of New Mexico, Albuquerque, New Mexico, United States of America
| | - Ana M Hurtado
- Department of Anthropology, University of New Mexico, Albuquerque, New Mexico, United States of America
| | - Damian Labuda
- Département de Pédiatrie, CHU Sainte-Justine, Université de Montréal, Montréal, Quebec, Canada
| | - William Klitz
- School of Public Health, University of California Berkeley, Berkeley, California, United States of America
- Public Health Institute, Oakland, California, United States of America
| | - Ramiro Barrantes
- Escuela de BiologÃa, Universidad de Costa Rica, San José, Costa Rica
| | - Maria Cátira Bortolini
- Departamento de Genética, Instituto de Biociências, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
| | - Francisco M Salzano
- Departamento de Genética, Instituto de Biociências, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
| | | | - Luiza T Tsuneto
- Departamento de Genética, Universidade Federal do Paraná, Curitiba, Paraná, Brazil
| | - Elena Llop
- Programa de Genética Humana, Instituto de Ciencias Biomédicas, Facultad de Medicina, Universidad de Chile, Santiago, Chile
| | - Francisco Rothhammer
- Programa de Genética Humana, Instituto de Ciencias Biomédicas, Facultad de Medicina, Universidad de Chile, Santiago, Chile
- Instituto de Alta Investigación, Universidad de Tarapacá, Arica, Chile
| | - Laurent Excoffier
- Computational and Molecular Population Genetics Lab, University of Bern, Bern, Switzerland
| | - Marcus W Feldman
- Department of Biological Sciences, Stanford University, Stanford, California, United States of America
| | - Noah A Rosenberg
- Department of Human Genetics, University of Michigan, Ann Arbor, Michigan, United States of America
- Center for Computational Medicine and Biology, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Andrés Ruiz-Linares
- The Galton Laboratory, Department of Biology, University College London, London, United Kingdom
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Handley LJL, Manica A, Goudet J, Balloux F. Going the distance: human population genetics in a clinal world. Trends Genet 2007; 23:432-9. [PMID: 17655965 DOI: 10.1016/j.tig.2007.07.002] [Citation(s) in RCA: 132] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2007] [Revised: 06/19/2007] [Accepted: 07/16/2007] [Indexed: 01/21/2023]
Abstract
Global human genetic variation is greatly influenced by geography, with genetic differentiation between populations increasing with geographic distance and within-population diversity decreasing with distance from Africa. In fact, these 'clines' can explain most of the variation in human populations. Despite this, population genetics inferences often rely on models that do not take geography into account, which could result in misleading conclusions when working at global geographic scales. Geographically explicit approaches have great potential for the study of human population genetics. Here, we discuss the most promising avenues of research in the context of human settlement history and the detection of genomic elements under natural selection. We also review recent technical advances and address the challenges of integrating geography and genetics.
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Affiliation(s)
- Lori J Lawson Handley
- Department of Genetics, University of Cambridge, Downing Street, Cambridge CB2 3EH, UK.
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48
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Witherspoon DJ, Wooding S, Rogers AR, Marchani EE, Watkins WS, Batzer MA, Jorde LB. Genetic similarities within and between human populations. Genetics 2007; 176:351-9. [PMID: 17339205 PMCID: PMC1893020 DOI: 10.1534/genetics.106.067355] [Citation(s) in RCA: 123] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
The proportion of human genetic variation due to differences between populations is modest, and individuals from different populations can be genetically more similar than individuals from the same population. Yet sufficient genetic data can permit accurate classification of individuals into populations. Both findings can be obtained from the same data set, using the same number of polymorphic loci. This article explains why. Our analysis focuses on the frequency, omega, with which a pair of random individuals from two different populations is genetically more similar than a pair of individuals randomly selected from any single population. We compare omega to the error rates of several classification methods, using data sets that vary in number of loci, average allele frequency, populations sampled, and polymorphism ascertainment strategy. We demonstrate that classification methods achieve higher discriminatory power than omega because of their use of aggregate properties of populations. The number of loci analyzed is the most critical variable: with 100 polymorphisms, accurate classification is possible, but omega remains sizable, even when using populations as distinct as sub-Saharan Africans and Europeans. Phenotypes controlled by a dozen or fewer loci can therefore be expected to show substantial overlap between human populations. This provides empirical justification for caution when using population labels in biomedical settings, with broad implications for personalized medicine, pharmacogenetics, and the meaning of race.
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Affiliation(s)
- D J Witherspoon
- Department of Human Genetics, University of Utah Health Sciences Center, Salt Lake City, Utah 84112, USA
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