1
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Kolmogorov M, Billingsley KJ, Mastoras M, Meredith M, Monlong J, Lorig-Roach R, Asri M, Alvarez Jerez P, Malik L, Dewan R, Reed X, Genner RM, Daida K, Behera S, Shafin K, Pesout T, Prabakaran J, Carnevali P, Yang J, Rhie A, Scholz SW, Traynor BJ, Miga KH, Jain M, Timp W, Phillippy AM, Chaisson M, Sedlazeck FJ, Blauwendraat C, Paten B. Scalable Nanopore sequencing of human genomes provides a comprehensive view of haplotype-resolved variation and methylation. Nat Methods 2023; 20:1483-1492. [PMID: 37710018 DOI: 10.1038/s41592-023-01993-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2023] [Accepted: 08/04/2023] [Indexed: 09/16/2023]
Abstract
Long-read sequencing technologies substantially overcome the limitations of short-reads but have not been considered as a feasible replacement for population-scale projects, being a combination of too expensive, not scalable enough or too error-prone. Here we develop an efficient and scalable wet lab and computational protocol, Napu, for Oxford Nanopore Technologies long-read sequencing that seeks to address those limitations. We applied our protocol to cell lines and brain tissue samples as part of a pilot project for the National Institutes of Health Center for Alzheimer's and Related Dementias. Using a single PromethION flow cell, we can detect single nucleotide polymorphisms with F1-score comparable to Illumina short-read sequencing. Small indel calling remains difficult within homopolymers and tandem repeats, but achieves good concordance to Illumina indel calls elsewhere. Further, we can discover structural variants with F1-score on par with state-of-the-art de novo assembly methods. Our protocol phases small and structural variants at megabase scales and produces highly accurate, haplotype-specific methylation calls.
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Affiliation(s)
- Mikhail Kolmogorov
- Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
| | - Kimberley J Billingsley
- Center for Alzheimer's and Related Dementias, National Institute on Aging and National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA.
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA.
| | - Mira Mastoras
- UC Santa Cruz Genomics Institute, Santa Cruz, CA, USA
| | | | - Jean Monlong
- UC Santa Cruz Genomics Institute, Santa Cruz, CA, USA
| | | | - Mobin Asri
- UC Santa Cruz Genomics Institute, Santa Cruz, CA, USA
| | - Pilar Alvarez Jerez
- Center for Alzheimer's and Related Dementias, National Institute on Aging and National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Laksh Malik
- Center for Alzheimer's and Related Dementias, National Institute on Aging and National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Ramita Dewan
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
| | - Xylena Reed
- Center for Alzheimer's and Related Dementias, National Institute on Aging and National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Rylee M Genner
- Center for Alzheimer's and Related Dementias, National Institute on Aging and National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Kensuke Daida
- Center for Alzheimer's and Related Dementias, National Institute on Aging and National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
| | - Sairam Behera
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | | | - Trevor Pesout
- UC Santa Cruz Genomics Institute, Santa Cruz, CA, USA
| | - Jeshuwin Prabakaran
- Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
- Department of Biological Sciences, University of Maryland Baltimore County, Baltimore, MD, USA
| | | | - Jianzhi Yang
- Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA, USA
| | - Arang Rhie
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Sonja W Scholz
- Neurodegenerative Diseases Research Unit, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
- Department of Neurology, Johns Hopkins University Medical Center, Baltimore, MD, USA
| | - Bryan J Traynor
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
- Department of Neurology, Johns Hopkins University Medical Center, Baltimore, MD, USA
| | - Karen H Miga
- UC Santa Cruz Genomics Institute, Santa Cruz, CA, USA
| | - Miten Jain
- Department of Bioengineering, Northeastern University, Boston, MA, USA
- Department of Physics, Northeastern University, Boston, MA, USA
| | - Winston Timp
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Adam M Phillippy
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Mark Chaisson
- Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA, USA
| | - Fritz J Sedlazeck
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
- Department of Computer Science, Rice University, Houston, TX, USA
| | - Cornelis Blauwendraat
- Center for Alzheimer's and Related Dementias, National Institute on Aging and National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA.
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA.
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2
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Reynolds AW, Grote MN, Myrick JW, Al-Hindi DR, Siford RL, Mastoras M, Möller M, Henn BM. Persistence of Matrilocal Postmarital Residence Across Multiple Generations in Southern Africa. Hum Nat 2023; 34:295-323. [PMID: 37310564 PMCID: PMC10353969 DOI: 10.1007/s12110-023-09452-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 05/24/2023] [Indexed: 06/14/2023]
Abstract
Factors such as subsistence turnover, warfare, or interaction between different groups can be major sources of cultural change in human populations. Global demographic shifts such as the transition to agriculture during the Neolithic and more recently the urbanization and globalization of the twentieth century have been major catalysts for cultural change. Here, we test whether cultural traits such as patri/matrilocality and postmarital migration persist in the face of social upheaval and gene flow during the past 150 years in postcolonial South Africa. The recent history of South Africa has seen major demographic shifts that resulted in the displacement and forced sedentism of indigenous Khoekhoe and San populations. During the expansion of the colonial frontier, the Khoe-San admixed with European colonists and enslaved individuals from West/Central Africa, Indonesia, and South Asia, introducing novel cultural norms. We conducted demographic interviews among Nama and Cederberg communities representing nearly 3,000 individuals across three generations. Despite the history of colonial expansion, and the subsequent incorporation of Khoe-San and Khoe-San-descendant communities into a colonial society with strong patrilocal norms, patrilocality is the least common postmarital residence pattern in our study populations today. Our results suggest that more recent forces of integration into the market economy are likely the primary drivers of change in the cultural traits examined in our study. Birthplace had a strong effect on an individual's odds of migration, distance moved, and postmarital residence form. These effects are at least partially explained by the population size of the birthplace. Our results suggest that market factors local to birthplaces are important drivers of residence decisions, although the frequency of matrilocal residence and a geographic and temporal cline in migration and residence patterns also indicate the persistence of some historic Khoe-San cultural traits in contemporary groups.
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Affiliation(s)
- Austin W Reynolds
- Department of Anthropology, Baylor University, Waco, TX, USA.
- Department of Anthropology, University of California (UC), Davis, CA, USA.
| | - Mark N Grote
- Department of Anthropology, University of California (UC), Davis, CA, USA
| | - Justin W Myrick
- Department of Anthropology, University of California (UC), Davis, CA, USA
| | - Dana R Al-Hindi
- Department of Anthropology, University of California (UC), Davis, CA, USA
| | - Rebecca L Siford
- School of Human Evolution and Social Change, Arizona State University, Tempe, AZ, USA
| | - Mira Mastoras
- Department of Biomolecular Engineering, University of California, Santa Cruz, CA, USA
- UC Davis Genome Center, Davis, CA, USA
| | - Marlo Möller
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Brenna M Henn
- Department of Anthropology, University of California (UC), Davis, CA, USA
- UC Davis Genome Center, Davis, CA, USA
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3
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Kolmogorov M, Billingsley KJ, Mastoras M, Meredith M, Monlong J, Lorig-Roach R, Asri M, Jerez PA, Malik L, Dewan R, Reed X, Genner RM, Daida K, Behera S, Shafin K, Pesout T, Prabakaran J, Carnevali P, Yang J, Rhie A, Scholz SW, Traynor BJ, Miga KH, Jain M, Timp W, Phillippy AM, Chaisson M, Sedlazeck FJ, Blauwendraat C, Paten B. Scalable Nanopore sequencing of human genomes provides a comprehensive view of haplotype-resolved variation and methylation. bioRxiv 2023:2023.01.12.523790. [PMID: 36711673 PMCID: PMC9882142 DOI: 10.1101/2023.01.12.523790] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
Long-read sequencing technologies substantially overcome the limitations of short-reads but to date have not been considered as feasible replacement at scale due to a combination of being too expensive, not scalable enough, or too error-prone. Here, we develop an efficient and scalable wet lab and computational protocol for Oxford Nanopore Technologies (ONT) long-read sequencing that seeks to provide a genuine alternative to short-reads for large-scale genomics projects. We applied our protocol to cell lines and brain tissue samples as part of a pilot project for the NIH Center for Alzheimer's and Related Dementias (CARD). Using a single PromethION flow cell, we can detect SNPs with F1-score better than Illumina short-read sequencing. Small indel calling remains to be difficult inside homopolymers and tandem repeats, but is comparable to Illumina calls elsewhere. Further, we can discover structural variants with F1-score comparable to state-of the-art methods involving Pacific Biosciences HiFi sequencing and trio information (but at a lower cost and greater throughput). Using ONT based phasing, we can then combine and phase small and structural variants at megabase scales. Our protocol also produces highly accurate, haplotype-specific methylation calls. Overall, this makes large-scale long-read sequencing projects feasible; the protocol is currently being used to sequence thousands of brain-based genomes as a part of the NIH CARD initiative. We provide the protocol and software as open-source integrated pipelines for generating phased variant calls and assemblies.
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Affiliation(s)
- Mikhail Kolmogorov
- Center for Cancer Research, National Cancer Institute, National Institutes of Health, USA
| | - Kimberley J. Billingsley
- Center for Alzheimer’s and Related Dementias, National Institute on Aging and National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
| | - Mira Mastoras
- UC Santa Cruz Genomics Institute, Santa Cruz, CA, USA
| | | | - Jean Monlong
- UC Santa Cruz Genomics Institute, Santa Cruz, CA, USA
| | | | - Mobin Asri
- UC Santa Cruz Genomics Institute, Santa Cruz, CA, USA
| | - Pilar Alvarez Jerez
- Center for Alzheimer’s and Related Dementias, National Institute on Aging and National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Laksh Malik
- Center for Alzheimer’s and Related Dementias, National Institute on Aging and National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Ramita Dewan
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
| | - Xylena Reed
- Center for Alzheimer’s and Related Dementias, National Institute on Aging and National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Rylee M. Genner
- Center for Alzheimer’s and Related Dementias, National Institute on Aging and National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Kensuke Daida
- Center for Alzheimer’s and Related Dementias, National Institute on Aging and National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
| | - Sairam Behera
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Kishwar Shafin
- Google LLC, 1600 Amphitheatre Pkwy, Mountain View, CA, USA
| | - Trevor Pesout
- UC Santa Cruz Genomics Institute, Santa Cruz, CA, USA
| | - Jeshuwin Prabakaran
- Center for Cancer Research, National Cancer Institute, National Institutes of Health, USA
- Department of Biological Sciences, University of Maryland Baltimore County, Baltimore, MD, USA
| | | | | | - Jianzhi Yang
- Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, USA
| | - Arang Rhie
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Sonja W. Scholz
- Neurodegenerative Diseases Research Unit, National Institute of Neurological Disorders and Stroke, National Institutes of Health, USA
- Department of Neurology, Johns Hopkins University Medical Center, Baltimore, MD, USA
| | - Bryan J. Traynor
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
| | - Karen H. Miga
- UC Santa Cruz Genomics Institute, Santa Cruz, CA, USA
| | - Miten Jain
- Department of Bioengineering, Department of Physics, Northeastern University, Boston, MA, USA
| | - Winston Timp
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Adam M. Phillippy
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Mark Chaisson
- Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, USA
| | - Fritz J. Sedlazeck
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
- Department of Computer Science, Rice University, Houston, Texas, USA
| | - Cornelis Blauwendraat
- Center for Alzheimer’s and Related Dementias, National Institute on Aging and National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
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4
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van Eeden G, Uren C, Pless E, Mastoras M, van der Spuy GD, Tromp G, Henn BM, Möller M. The recombination landscape of the Khoe-San likely represents the upper limits of recombination divergence in humans. Genome Biol 2022; 23:172. [PMID: 35945619 PMCID: PMC9361568 DOI: 10.1186/s13059-022-02744-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2021] [Accepted: 08/01/2022] [Indexed: 11/10/2022] Open
Abstract
Background Recombination maps are important resources for epidemiological and evolutionary analyses; however, there are currently no recombination maps representing any African population outside of those with West African ancestry. We infer the demographic history for the Nama, an indigenous Khoe-San population of southern Africa, and derive a novel, population-specific recombination map from the whole genome sequencing of 54 Nama individuals. We hypothesise that there are no publicly available recombination maps representative of the Nama, considering the deep population divergence and subsequent isolation of the Khoe-San from other African groups. Results We show that the recombination landscape of the Nama does not cluster with any continental groups with publicly available representative recombination maps. Finally, we use selection scans as an example of how fine-scale differences between the Nama recombination map and the combined Phase II HapMap recombination map can impact the outcome of selection scans. Conclusions Fine-scale differences in recombination can meaningfully alter the results of a selection scan. The recombination map we infer likely represents an upper bound on the extent of divergence we expect to see for a recombination map in humans and would be of interest to any researcher that wants to test the sensitivity of population genetic or GWAS analysis to recombination map input. Supplementary Information The online version contains supplementary material available at 10.1186/s13059-022-02744-5.
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Affiliation(s)
- Gerald van Eeden
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Caitlin Uren
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.,Centre for Bioinformatics and Computational Biology, Stellenbosch University, Stellenbosch, 7602, South Africa
| | - Evlyn Pless
- Department of Anthropology, Center for Population Biology and the Genome Center, University of California (UC) Davis, Davis, CA, USA
| | - Mira Mastoras
- Department of Anthropology, Center for Population Biology and the Genome Center, University of California (UC) Davis, Davis, CA, USA
| | - Gian D van der Spuy
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.,Centre for Bioinformatics and Computational Biology, Stellenbosch University, Stellenbosch, 7602, South Africa.,SAMRC-SHIP South African Tuberculosis Bioinformatics Initiative (SATBBI), Center for Bioinformatics and Computational Biology, Cape Town, South Africa
| | - Gerard Tromp
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.,Centre for Bioinformatics and Computational Biology, Stellenbosch University, Stellenbosch, 7602, South Africa.,SAMRC-SHIP South African Tuberculosis Bioinformatics Initiative (SATBBI), Center for Bioinformatics and Computational Biology, Cape Town, South Africa
| | - Brenna M Henn
- Department of Anthropology, Center for Population Biology and the Genome Center, University of California (UC) Davis, Davis, CA, USA
| | - Marlo Möller
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa. .,Centre for Bioinformatics and Computational Biology, Stellenbosch University, Stellenbosch, 7602, South Africa.
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5
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Mederos SL, Duarte RC, Mastoras M, Dennis MY, Settles ML, Lau AR, Scott A, Woodward K, Johnson C, Seelke AMH, Bales KL. Effects of pairing on color change and central gene expression in lined seahorses. Genes Brain Behav 2022; 21:e12812. [PMID: 35652318 PMCID: PMC9744553 DOI: 10.1111/gbb.12812] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Revised: 04/21/2022] [Accepted: 04/21/2022] [Indexed: 12/18/2022]
Abstract
Social monogamy is a reproductive strategy characterized by pair living and defense of a common territory. Pair bonding, sometimes displayed by monogamous species, is an affective construct that includes preference for a specific partner, distress upon separation, and the ability of the partner to buffer against stress. Many seahorse species show a monogamous social structure in the wild, but their pair bond has not been well studied. We examined the gene expression of lined seahorses (Hippocampus erectus) during and after the process of pairing in the laboratory as well as color change (luminance), a potential form of social communication and behavioral synchrony between pair mates. When a seahorse of either sex was interacting with its pair mate, their changes in luminance ("brightness") were correlated and larger than when interacting with an opposite-sex stranger. At the conclusion of testing, subjects were euthanized, RNA was extracted from whole brains and analyzed via RNA sequencing. Changes in gene expression in paired males versus those that were unpaired included processes governing metabolic activity, hormones and cilia. Perhaps most interesting is the overlap in gene expression change induced by pairing in both male seahorses and male prairie voles, including components of hormone systems regulating reproduction. Because of our limited sample size, we consider our results and interpretations to be preliminary, and prompts for further exploration. Future studies will expand upon these findings and investigate the neuroendocrine and genetic basis of these behaviors.
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Affiliation(s)
- Sabrina L. Mederos
- Animal Behavior Graduate GroupUniversity of CaliforniaDavisCaliforniaUSA
| | - Rafael C. Duarte
- Centro de Ciências Naturais e HumanasUniversidade Federal do ABC (UFABC)Santo AndréBrazil
| | - Mira Mastoras
- Genome Center, MIND Institute, and Department of Biochemistry and Molecular MedicineUniversity of CaliforniaDavisCaliforniaUSA
| | - Megan Y. Dennis
- Genome Center, MIND Institute, and Department of Biochemistry and Molecular MedicineUniversity of CaliforniaDavisCaliforniaUSA
| | | | - Allison R. Lau
- Animal Behavior Graduate GroupUniversity of CaliforniaDavisCaliforniaUSA
- California National Primate Research CenterUniversity of CaliforniaDavisCaliforniaUSA
| | - Alexandria Scott
- California National Primate Research CenterUniversity of CaliforniaDavisCaliforniaUSA
| | - Kacie Woodward
- Campus Veterinary ServicesUniversity of CaliforniaDavisCaliforniaUSA
| | | | - Adele M. H. Seelke
- Department of Neurobiology, Physiology, and BehaviorUniversity of CaliforniaDavisCaliforniaUSA
- Department of PsychologyUniversity of CaliforniaDavisCaliforniaUSA
| | - Karen L. Bales
- California National Primate Research CenterUniversity of CaliforniaDavisCaliforniaUSA
- Department of Neurobiology, Physiology, and BehaviorUniversity of CaliforniaDavisCaliforniaUSA
- Department of PsychologyUniversity of CaliforniaDavisCaliforniaUSA
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6
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Gopalan S, Berl REW, Myrick JW, Garfield ZH, Reynolds AW, Bafens BK, Belbin G, Mastoras M, Williams C, Daya M, Negash AN, Feldman MW, Hewlett BS, Henn BM. Hunter-gatherer genomes reveal diverse demographic trajectories during the rise of farming in Eastern Africa. Curr Biol 2022; 32:1852-1860.e5. [PMID: 35271793 PMCID: PMC9050894 DOI: 10.1016/j.cub.2022.02.050] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2019] [Revised: 05/12/2021] [Accepted: 02/16/2022] [Indexed: 12/31/2022]
Abstract
The fate of hunting and gathering populations following the rise of agriculture and pastoralism remains a topic of debate in the study of human prehistory. Studies of ancient and modern genomes have found that autochthonous groups were largely replaced by expanding farmer populations with varying levels of gene flow, a characterization that is influenced by the almost universal focus on the European Neolithic.1-5 We sought to understand the demographic impact of an ongoing cultural transition to farming in Southwest Ethiopia, one of the last regions in Africa to experience such shifts.6 Importantly, Southwest Ethiopia is home to several of the world's remaining hunter-gatherer groups, including the Chabu people, who are currently transitioning away from their traditional mode of subsistence.7 We generated genome-wide data from the Chabu and four neighboring populations, the Majang, Shekkacho, Bench, and Sheko, to characterize their genetic ancestry and estimate their effective population sizes over the last 60 generations. We show that the Chabu are a distinct population closely related to ancient people who occupied Southwest Ethiopia >4,500 years ago. Furthermore, the Chabu are undergoing a severe population bottleneck, which began approximately 1,400 years ago. By analyzing eleven Eastern African populations, we find evidence for divergent demographic trajectories among hunter-gatherer-descendant groups. Our results illustrate that although foragers respond to encroaching agriculture and pastoralism with multiple strategies, including cultural adoption of agropastoralism, gene flow, and economic specialization, they often face population decline.
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Affiliation(s)
- Shyamalika Gopalan
- Department of Ecology and Evolution, Stony Brook University, Stony Brook, NY 11794, USA; Center for Genetic Epidemiology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Richard E W Berl
- School of Biological Sciences, Washington State University, Pullman, WA 99164, USA; Department of Human Dimensions of Natural Resources, Colorado State University, Fort Collins, CO 80523, USA
| | - Justin W Myrick
- Department of Anthropology, University of California, Davis, Davis, CA 95616, USA; UC Davis Genome Center, University of California, Davis, Davis, CA 95616, USA
| | - Zachary H Garfield
- Department of Anthropology, Washington State University, Vancouver, WA 98686, USA; Institute for Advanced Study in Toulouse, Université Toulouse, Toulouse 31080, France
| | - Austin W Reynolds
- Department of Anthropology, University of California, Davis, Davis, CA 95616, USA; Department of Anthropology, Baylor University, Waco, TX 76798, USA
| | - Barnabas K Bafens
- Diaspora and Protocol Affairs Office, Bench Sheko Zone Administration, Mizan, Ethiopia
| | - Gillian Belbin
- Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Mira Mastoras
- UC Davis Genome Center, University of California, Davis, Davis, CA 95616, USA
| | - Cole Williams
- Department of Medicine, University of Colorado, Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Michelle Daya
- Department of Medicine, University of Colorado, Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Akmel N Negash
- Department of Anthropology, Hawassa University, Hawassa, SNNPR, Ethiopia
| | - Marcus W Feldman
- Department of Biology, Stanford University, Stanford, CA 94305, USA
| | - Barry S Hewlett
- Department of Anthropology, Washington State University, Vancouver, WA 98686, USA.
| | - Brenna M Henn
- Department of Anthropology, University of California, Davis, Davis, CA 95616, USA; UC Davis Genome Center, University of California, Davis, Davis, CA 95616, USA.
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7
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Shew CJ, Carmona-Mora P, Soto DC, Mastoras M, Roberts E, Rosas J, Jagannathan D, Kaya G, O'Geen H, Dennis MY. Diverse Molecular Mechanisms Contribute to Differential Expression of Human Duplicated Genes. Mol Biol Evol 2021; 38:3060-3077. [PMID: 34009325 PMCID: PMC8321529 DOI: 10.1093/molbev/msab131] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2021] [Revised: 04/08/2021] [Accepted: 04/28/2021] [Indexed: 12/24/2022] Open
Abstract
Emerging evidence links genes within human-specific segmental duplications (HSDs) to traits and diseases unique to our species. Strikingly, despite being nearly identical by sequence (>98.5%), paralogous HSD genes are differentially expressed across human cell and tissue types, though the underlying mechanisms have not been examined. We compared cross-tissue mRNA levels of 75 HSD genes from 30 families between humans and chimpanzees and found expression patterns consistent with relaxed selection on or neofunctionalization of derived paralogs. In general, ancestral paralogs exhibited greatest expression conservation with chimpanzee orthologs, though exceptions suggest certain derived paralogs may retain or supplant ancestral functions. Concordantly, analysis of long-read isoform sequencing data sets from diverse human tissues and cell lines found that about half of derived paralogs exhibited globally lower expression. To understand mechanisms underlying these differences, we leveraged data from human lymphoblastoid cell lines (LCLs) and found no relationship between paralogous expression divergence and post-transcriptional regulation, sequence divergence, or copy-number variation. Considering cis-regulation, we reanalyzed ENCODE data and recovered hundreds of previously unidentified candidate CREs in HSDs. We also generated large-insert ChIP-sequencing data for active chromatin features in an LCL to better distinguish paralogous regions. Some duplicated CREs were sufficient to drive differential reporter activity, suggesting they may contribute to divergent cis-regulation of paralogous genes. This work provides evidence that cis-regulatory divergence contributes to novel expression patterns of recent gene duplicates in humans.
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Affiliation(s)
- Colin J Shew
- Genome Center, University of California Davis, CA, USA.,Integrative Genetics and Genomics Graduate Group, University of California Davis, CA, USA
| | - Paulina Carmona-Mora
- Genome Center, University of California Davis, CA, USA.,MIND Institute, University of California, Davis, CA, USA.,Autism Research Training Program, University of California, Davis, CA, USA
| | - Daniela C Soto
- Genome Center, University of California Davis, CA, USA.,Integrative Genetics and Genomics Graduate Group, University of California Davis, CA, USA
| | - Mira Mastoras
- Genome Center, University of California Davis, CA, USA
| | | | - Joseph Rosas
- Genome Center, University of California Davis, CA, USA.,Postbaccalaureate Research Education Program, University of California, Davis, CA, USA
| | | | - Gulhan Kaya
- Genome Center, University of California Davis, CA, USA
| | | | - Megan Y Dennis
- Genome Center, University of California Davis, CA, USA.,Integrative Genetics and Genomics Graduate Group, University of California Davis, CA, USA.,MIND Institute, University of California, Davis, CA, USA.,Autism Research Training Program, University of California, Davis, CA, USA.,Postbaccalaureate Research Education Program, University of California, Davis, CA, USA.,Department of Biochemistry & Molecular Medicine, University of California, Davis, CA, USA
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