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Yang JH, Hayano M, Griffin PT, Amorim JA, Bonkowski MS, Apostolides JK, Salfati EL, Blanchette M, Munding EM, Bhakta M, Chew YC, Guo W, Yang X, Maybury-Lewis S, Tian X, Ross JM, Coppotelli G, Meer MV, Rogers-Hammond R, Vera DL, Lu YR, Pippin JW, Creswell ML, Dou Z, Xu C, Mitchell SJ, Das A, O'Connell BL, Thakur S, Kane AE, Su Q, Mohri Y, Nishimura EK, Schaevitz L, Garg N, Balta AM, Rego MA, Gregory-Ksander M, Jakobs TC, Zhong L, Wakimoto H, El Andari J, Grimm D, Mostoslavsky R, Wagers AJ, Tsubota K, Bonasera SJ, Palmeira CM, Seidman JG, Seidman CE, Wolf NS, Kreiling JA, Sedivy JM, Murphy GF, Green RE, Garcia BA, Berger SL, Oberdoerffer P, Shankland SJ, Gladyshev VN, Ksander BR, Pfenning AR, Rajman LA, Sinclair DA. Loss of epigenetic information as a cause of mammalian aging. Cell 2024; 187:1312-1313. [PMID: 38428398 DOI: 10.1016/j.cell.2024.01.049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/03/2024]
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Griffin PT, Kane AE, Trapp A, Li J, Arnold M, Poganik JR, Conway RJ, McNamara MS, Meer MV, Hoffman N, Amorim JA, Tian X, MacArthur MR, Mitchell SJ, Mueller AL, Carmody C, Vera DL, Kerepesi C, Ying K, Noren Hooten N, Mitchell JR, Evans MK, Gladyshev VN, Sinclair DA. TIME-seq reduces time and cost of DNA methylation measurement for epigenetic clock construction. Nat Aging 2024; 4:261-274. [PMID: 38200273 DOI: 10.1038/s43587-023-00555-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/06/2021] [Accepted: 12/05/2023] [Indexed: 01/12/2024]
Abstract
Epigenetic 'clocks' based on DNA methylation have emerged as the most robust and widely used aging biomarkers, but conventional methods for applying them are expensive and laborious. Here we develop tagmentation-based indexing for methylation sequencing (TIME-seq), a highly multiplexed and scalable method for low-cost epigenetic clocks. Using TIME-seq, we applied multi-tissue and tissue-specific epigenetic clocks in over 1,800 mouse DNA samples from eight tissue and cell types. We show that TIME-seq clocks are accurate and robust, enriched for polycomb repressive complex 2-regulated loci, and benchmark favorably against conventional methods despite being up to 100-fold less expensive. Using dietary treatments and gene therapy, we find that TIME-seq clocks reflect diverse interventions in multiple tissues. Finally, we develop an economical human blood clock (R > 0.96, median error = 3.39 years) in 1,056 demographically representative individuals. These methods will enable more efficient epigenetic clock measurement in larger-scale human and animal studies.
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Affiliation(s)
- Patrick T Griffin
- Blavatnik Institute, Department of Genetics, Paul F. Glenn Center for Biology of Aging Research at Harvard Medical School, Boston, MA, USA
| | - Alice E Kane
- Blavatnik Institute, Department of Genetics, Paul F. Glenn Center for Biology of Aging Research at Harvard Medical School, Boston, MA, USA
- Institute for Systems Biology, Seattle, WA, USA
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA
| | - Alexandre Trapp
- Brigham and Women's Hospital, Division of Genetics, Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Jien Li
- Blavatnik Institute, Department of Genetics, Paul F. Glenn Center for Biology of Aging Research at Harvard Medical School, Boston, MA, USA
| | - Matthew Arnold
- Blavatnik Institute, Department of Genetics, Paul F. Glenn Center for Biology of Aging Research at Harvard Medical School, Boston, MA, USA
| | - Jesse R Poganik
- Brigham and Women's Hospital, Division of Genetics, Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Ryan J Conway
- Blavatnik Institute, Department of Genetics, Paul F. Glenn Center for Biology of Aging Research at Harvard Medical School, Boston, MA, USA
| | - Maeve S McNamara
- Blavatnik Institute, Department of Genetics, Paul F. Glenn Center for Biology of Aging Research at Harvard Medical School, Boston, MA, USA
| | - Margarita V Meer
- Brigham and Women's Hospital, Division of Genetics, Department of Medicine, Harvard Medical School, Boston, MA, USA
- Department of Pathology, Yale University School of Medicine, New Haven, CT, USA
- San Diego Institute of Science, Altos Labs, San Diego, CA, USA
| | - Noah Hoffman
- Blavatnik Institute, Department of Genetics, Paul F. Glenn Center for Biology of Aging Research at Harvard Medical School, Boston, MA, USA
| | - João A Amorim
- Blavatnik Institute, Department of Genetics, Paul F. Glenn Center for Biology of Aging Research at Harvard Medical School, Boston, MA, USA
| | - Xiao Tian
- Blavatnik Institute, Department of Genetics, Paul F. Glenn Center for Biology of Aging Research at Harvard Medical School, Boston, MA, USA
- Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA, USA
| | - Michael R MacArthur
- Department of Health Sciences and Technology, Eidgenössische Technische Hochschule Zürich, Zurich, Switzerland
- Lewis-Sigler Institute of Integrative Genomics, Princeton University, Princeton, NJ, USA
| | - Sarah J Mitchell
- Department of Health Sciences and Technology, Eidgenössische Technische Hochschule Zürich, Zurich, Switzerland
- Ludwig Princeton Branch, Princeton University, Princeton, NJ, USA
| | - Amber L Mueller
- Blavatnik Institute, Department of Genetics, Paul F. Glenn Center for Biology of Aging Research at Harvard Medical School, Boston, MA, USA
- Cell Metabolism, Cell Press, Cambridge, MA, USA
| | - Colleen Carmody
- Blavatnik Institute, Department of Genetics, Paul F. Glenn Center for Biology of Aging Research at Harvard Medical School, Boston, MA, USA
| | - Daniel L Vera
- Blavatnik Institute, Department of Genetics, Paul F. Glenn Center for Biology of Aging Research at Harvard Medical School, Boston, MA, USA
| | - Csaba Kerepesi
- Brigham and Women's Hospital, Division of Genetics, Department of Medicine, Harvard Medical School, Boston, MA, USA
- Institute for Computer Science and Control, Eötvös Loránd Research Network, Budapest, Hungary
| | - Kejun Ying
- Brigham and Women's Hospital, Division of Genetics, Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Nicole Noren Hooten
- Laboratory of Epidemiology and Population Science, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - James R Mitchell
- Department of Health Sciences and Technology, Eidgenössische Technische Hochschule Zürich, Zurich, Switzerland
| | - Michele K Evans
- Laboratory of Epidemiology and Population Science, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - Vadim N Gladyshev
- Brigham and Women's Hospital, Division of Genetics, Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - David A Sinclair
- Blavatnik Institute, Department of Genetics, Paul F. Glenn Center for Biology of Aging Research at Harvard Medical School, Boston, MA, USA.
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3
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Yang JH, Hayano M, Griffin PT, Amorim JA, Bonkowski MS, Apostolides JK, Salfati EL, Blanchette M, Munding EM, Bhakta M, Chew YC, Guo W, Yang X, Maybury-Lewis S, Tian X, Ross JM, Coppotelli G, Meer MV, Rogers-Hammond R, Vera DL, Lu YR, Pippin JW, Creswell ML, Dou Z, Xu C, Mitchell SJ, Das A, O'Connell BL, Thakur S, Kane AE, Su Q, Mohri Y, Nishimura EK, Schaevitz L, Garg N, Balta AM, Rego MA, Gregory-Ksander M, Jakobs TC, Zhong L, Wakimoto H, El Andari J, Grimm D, Mostoslavsky R, Wagers AJ, Tsubota K, Bonasera SJ, Palmeira CM, Seidman JG, Seidman CE, Wolf NS, Kreiling JA, Sedivy JM, Murphy GF, Green RE, Garcia BA, Berger SL, Oberdoerffer P, Shankland SJ, Gladyshev VN, Ksander BR, Pfenning AR, Rajman LA, Sinclair DA. Loss of epigenetic information as a cause of mammalian aging. Cell 2023; 186:305-326.e27. [PMID: 36638792 PMCID: PMC10166133 DOI: 10.1016/j.cell.2022.12.027] [Citation(s) in RCA: 156] [Impact Index Per Article: 156.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2021] [Revised: 08/09/2022] [Accepted: 12/15/2022] [Indexed: 01/13/2023]
Abstract
All living things experience an increase in entropy, manifested as a loss of genetic and epigenetic information. In yeast, epigenetic information is lost over time due to the relocalization of chromatin-modifying proteins to DNA breaks, causing cells to lose their identity, a hallmark of yeast aging. Using a system called "ICE" (inducible changes to the epigenome), we find that the act of faithful DNA repair advances aging at physiological, cognitive, and molecular levels, including erosion of the epigenetic landscape, cellular exdifferentiation, senescence, and advancement of the DNA methylation clock, which can be reversed by OSK-mediated rejuvenation. These data are consistent with the information theory of aging, which states that a loss of epigenetic information is a reversible cause of aging.
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Affiliation(s)
- Jae-Hyun Yang
- Paul F. Glenn Center for Biology of Aging Research, Department of Genetics, Blavatnik Institute, Harvard Medical School (HMS), Boston, MA, USA.
| | - Motoshi Hayano
- Paul F. Glenn Center for Biology of Aging Research, Department of Genetics, Blavatnik Institute, Harvard Medical School (HMS), Boston, MA, USA; Department of Ophthalmology, Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| | - Patrick T Griffin
- Paul F. Glenn Center for Biology of Aging Research, Department of Genetics, Blavatnik Institute, Harvard Medical School (HMS), Boston, MA, USA
| | - João A Amorim
- Paul F. Glenn Center for Biology of Aging Research, Department of Genetics, Blavatnik Institute, Harvard Medical School (HMS), Boston, MA, USA; IIIUC-Institute of Interdisciplinary Research, University of Coimbra, Coimbra, Portugal
| | - Michael S Bonkowski
- Paul F. Glenn Center for Biology of Aging Research, Department of Genetics, Blavatnik Institute, Harvard Medical School (HMS), Boston, MA, USA
| | - John K Apostolides
- Computational Biology Department, Carnegie Mellon University, Pittsburgh, PA, USA
| | - Elias L Salfati
- Paul F. Glenn Center for Biology of Aging Research, Department of Genetics, Blavatnik Institute, Harvard Medical School (HMS), Boston, MA, USA
| | | | | | - Mital Bhakta
- Cantata/Dovetail Genomics, Scotts Valley, CA, USA
| | | | - Wei Guo
- Zymo Research Corporation, Irvine, CA, USA
| | | | - Sun Maybury-Lewis
- Paul F. Glenn Center for Biology of Aging Research, Department of Genetics, Blavatnik Institute, Harvard Medical School (HMS), Boston, MA, USA
| | - Xiao Tian
- Paul F. Glenn Center for Biology of Aging Research, Department of Genetics, Blavatnik Institute, Harvard Medical School (HMS), Boston, MA, USA
| | - Jaime M Ross
- Paul F. Glenn Center for Biology of Aging Research, Department of Genetics, Blavatnik Institute, Harvard Medical School (HMS), Boston, MA, USA
| | - Giuseppe Coppotelli
- Paul F. Glenn Center for Biology of Aging Research, Department of Genetics, Blavatnik Institute, Harvard Medical School (HMS), Boston, MA, USA
| | - Margarita V Meer
- Department of Medicine, Brigham and Women's Hospital, HMS, Boston, MA, USA
| | - Ryan Rogers-Hammond
- Paul F. Glenn Center for Biology of Aging Research, Department of Genetics, Blavatnik Institute, Harvard Medical School (HMS), Boston, MA, USA
| | - Daniel L Vera
- Paul F. Glenn Center for Biology of Aging Research, Department of Genetics, Blavatnik Institute, Harvard Medical School (HMS), Boston, MA, USA
| | - Yuancheng Ryan Lu
- Paul F. Glenn Center for Biology of Aging Research, Department of Genetics, Blavatnik Institute, Harvard Medical School (HMS), Boston, MA, USA
| | - Jeffrey W Pippin
- Division of Nephrology, University of Washington, Seattle, WA, USA
| | - Michael L Creswell
- Division of Nephrology, University of Washington, Seattle, WA, USA; Georgetown University School of Medicine, Washington, DC, USA
| | - Zhixun Dou
- Department of Cell and Developmental Biology, University of Pennsylvania, Philadelphia, PA, USA
| | - Caiyue Xu
- Department of Cell and Developmental Biology, University of Pennsylvania, Philadelphia, PA, USA
| | | | - Abhirup Das
- Paul F. Glenn Center for Biology of Aging Research, Department of Genetics, Blavatnik Institute, Harvard Medical School (HMS), Boston, MA, USA; Department of Pharmacology, UNSW, Sydney, NSW, Australia
| | | | - Sachin Thakur
- Paul F. Glenn Center for Biology of Aging Research, Department of Genetics, Blavatnik Institute, Harvard Medical School (HMS), Boston, MA, USA
| | - Alice E Kane
- Paul F. Glenn Center for Biology of Aging Research, Department of Genetics, Blavatnik Institute, Harvard Medical School (HMS), Boston, MA, USA
| | - Qiao Su
- Computational Biology Department, Carnegie Mellon University, Pittsburgh, PA, USA
| | - Yasuaki Mohri
- Department of Stem Cell Biology, Tokyo Medical and Dental University, Tokyo, Japan
| | - Emi K Nishimura
- Department of Stem Cell Biology, Tokyo Medical and Dental University, Tokyo, Japan
| | | | - Neha Garg
- Paul F. Glenn Center for Biology of Aging Research, Department of Genetics, Blavatnik Institute, Harvard Medical School (HMS), Boston, MA, USA
| | - Ana-Maria Balta
- Paul F. Glenn Center for Biology of Aging Research, Department of Genetics, Blavatnik Institute, Harvard Medical School (HMS), Boston, MA, USA
| | - Meghan A Rego
- Paul F. Glenn Center for Biology of Aging Research, Department of Genetics, Blavatnik Institute, Harvard Medical School (HMS), Boston, MA, USA
| | | | - Tatjana C Jakobs
- Schepens Eye Research Institute, Massachusetts Eye and Ear Infirmary, HMS, Boston, MA, USA
| | - Lei Zhong
- The Massachusetts General Hospital Cancer Center, HMS, Boston, MA, USA
| | | | - Jihad El Andari
- Department of Infectious Diseases/Virology, Section Viral Vector Technologies, Medical Faculty, University of Heidelberg, BioQuant, Heidelberg, Germany
| | - Dirk Grimm
- Department of Infectious Diseases/Virology, Section Viral Vector Technologies, Medical Faculty, University of Heidelberg, BioQuant, Heidelberg, Germany
| | - Raul Mostoslavsky
- The Massachusetts General Hospital Cancer Center, HMS, Boston, MA, USA
| | - Amy J Wagers
- Paul F. Glenn Center for Biology of Aging Research, Harvard Stem Cell Institute, Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA; Joslin Diabetes Center, Boston, MA, USA
| | - Kazuo Tsubota
- Department of Ophthalmology, Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| | - Stephen J Bonasera
- Division of Geriatrics, University of Nebraska Medical Center, Durham Research Center II, Omaha, NE, USA
| | - Carlos M Palmeira
- Department of Life Sciences, Faculty of Sciences and Technology, University of Coimbra, Coimbra, Portugal
| | | | | | - Norman S Wolf
- Department of Pathology, University of Washington, Seattle, WA, USA
| | - Jill A Kreiling
- Department of Molecular Biology, Cell Biology and Biochemistry, Brown University, Providence, RI, USA
| | - John M Sedivy
- Department of Molecular Biology, Cell Biology and Biochemistry, Brown University, Providence, RI, USA
| | - George F Murphy
- Department of Pathology, Brigham & Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Richard E Green
- Department of Biomolecular Engineering, UCSC, Santa Cruz, CA, USA
| | - Benjamin A Garcia
- Department of Cell and Developmental Biology, University of Pennsylvania, Philadelphia, PA, USA
| | - Shelley L Berger
- Department of Cell and Developmental Biology, University of Pennsylvania, Philadelphia, PA, USA
| | | | | | - Vadim N Gladyshev
- Department of Medicine, Brigham and Women's Hospital, HMS, Boston, MA, USA
| | - Bruce R Ksander
- Schepens Eye Research Institute, Massachusetts Eye and Ear Infirmary, HMS, Boston, MA, USA
| | - Andreas R Pfenning
- Computational Biology Department, Carnegie Mellon University, Pittsburgh, PA, USA
| | - Luis A Rajman
- Paul F. Glenn Center for Biology of Aging Research, Department of Genetics, Blavatnik Institute, Harvard Medical School (HMS), Boston, MA, USA
| | - David A Sinclair
- Paul F. Glenn Center for Biology of Aging Research, Department of Genetics, Blavatnik Institute, Harvard Medical School (HMS), Boston, MA, USA.
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Savadel SD, Hartwig T, Turpin ZM, Vera DL, Lung PY, Sui X, Blank M, Frommer WB, Dennis JH, Zhang J, Bass HW. The native cistrome and sequence motif families of the maize ear. PLoS Genet 2021; 17:e1009689. [PMID: 34383745 PMCID: PMC8360572 DOI: 10.1371/journal.pgen.1009689] [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] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2020] [Accepted: 06/30/2021] [Indexed: 01/22/2023] Open
Abstract
Elucidating the transcriptional regulatory networks that underlie growth and development requires robust ways to define the complete set of transcription factor (TF) binding sites. Although TF-binding sites are known to be generally located within accessible chromatin regions (ACRs), pinpointing these DNA regulatory elements globally remains challenging. Current approaches primarily identify binding sites for a single TF (e.g. ChIP-seq), or globally detect ACRs but lack the resolution to consistently define TF-binding sites (e.g. DNAse-seq, ATAC-seq). To address this challenge, we developed MNase-defined cistrome-Occupancy Analysis (MOA-seq), a high-resolution (< 30 bp), high-throughput, and genome-wide strategy to globally identify putative TF-binding sites within ACRs. We used MOA-seq on developing maize ears as a proof of concept, able to define a cistrome of 145,000 MOA footprints (MFs). While a substantial majority (76%) of the known ATAC-seq ACRs intersected with the MFs, only a minority of MFs overlapped with the ATAC peaks, indicating that the majority of MFs were novel and not detected by ATAC-seq. MFs were associated with promoters and significantly enriched for TF-binding and long-range chromatin interaction sites, including for the well-characterized FASCIATED EAR4, KNOTTED1, and TEOSINTE BRANCHED1. Importantly, the MOA-seq strategy improved the spatial resolution of TF-binding prediction and allowed us to identify 215 motif families collectively distributed over more than 100,000 non-overlapping, putatively-occupied binding sites across the genome. Our study presents a simple, efficient, and high-resolution approach to identify putative TF footprints and binding motifs genome-wide, to ultimately define a native cistrome atlas. Understanding gene regulation remains a central goal of modern biology. Delineating the full set of regulatory DNA elements that orchestrate this regulation requires information at two scales; the broad landscape of accessible chromatin, and the site-specific binding of transcription factors (TFs) at discrete cis-regulatory DNA elements. Here we describe a single assay that uses micrococcal nuclease (MNase) as a structural probe to simultaneously reveal regions of accessible chromatin in addition to high-resolution footprints with signatures of TF-occupied cis-elements. We have used maize developing ear tissue as proof of concept, showing the method detects known TF-binding sites. This genome-wide assay not only defines chromatin landscapes, but crucially enables global discovery and mapping of sequence motifs underlying small footprints of ~30 bp to produce an atlas of candidate TF occupancy.
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Affiliation(s)
- Savannah D. Savadel
- Department of Biological Science, Florida State University, Tallahassee, Florida, United States of America
| | - Thomas Hartwig
- Institute for Molecular Physiologie, Heinrich-Heine-Universität, Düsseldorf, Germany
- Independent research groups, Max Planck Institute for Plant Breeding Research, Cologne, Germany
| | - Zachary M. Turpin
- Department of Biological Science, Florida State University, Tallahassee, Florida, United States of America
| | - Daniel L. Vera
- Department of Biological Science, Florida State University, Tallahassee, Florida, United States of America
| | - Pei-Yau Lung
- Department of Statistics, Florida State University, Tallahassee, Florida, United States of America
| | - Xin Sui
- Department of Statistics, Florida State University, Tallahassee, Florida, United States of America
| | - Max Blank
- Institute for Molecular Physiologie, Heinrich-Heine-Universität, Düsseldorf, Germany
- Independent research groups, Max Planck Institute for Plant Breeding Research, Cologne, Germany
| | - Wolf B. Frommer
- Institute for Molecular Physiologie, Heinrich-Heine-Universität, Düsseldorf, Germany
- Independent research groups, Max Planck Institute for Plant Breeding Research, Cologne, Germany
| | - Jonathan H. Dennis
- Department of Biological Science, Florida State University, Tallahassee, Florida, United States of America
| | - Jinfeng Zhang
- Department of Statistics, Florida State University, Tallahassee, Florida, United States of America
| | - Hank W. Bass
- Department of Biological Science, Florida State University, Tallahassee, Florida, United States of America
- * E-mail:
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Cole L, Kurscheid S, Nekrasov M, Domaschenz R, Vera DL, Dennis JH, Tremethick DJ. Multiple roles of H2A.Z in regulating promoter chromatin architecture in human cells. Nat Commun 2021; 12:2524. [PMID: 33953180 PMCID: PMC8100287 DOI: 10.1038/s41467-021-22688-x] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2020] [Accepted: 03/25/2021] [Indexed: 01/02/2023] Open
Abstract
Chromatin accessibility of a promoter is fundamental in regulating transcriptional activity. The histone variant H2A.Z has been shown to contribute to this regulation, but its role has remained poorly understood. Here, we prepare high-depth maps of the position and accessibility of H2A.Z-containing nucleosomes for all human Pol II promoters in epithelial, mesenchymal and isogenic cancer cell lines. We find that, in contrast to the prevailing model, many different types of active and inactive promoter structures are observed that differ in their nucleosome organization and sensitivity to MNase digestion. Key aspects of an active chromatin structure include positioned H2A.Z MNase resistant nucleosomes upstream or downstream of the TSS, and a MNase sensitive nucleosome at the TSS. Furthermore, the loss of H2A.Z leads to a dramatic increase in the accessibility of transcription factor binding sites. Collectively, these results suggest that H2A.Z has multiple and distinct roles in regulating gene expression dependent upon its location in a promoter.
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Affiliation(s)
- Lauren Cole
- College of Arts and Sciences, Department of Biological Sciences, Florida State University, Tallahassee, FL, USA
| | - Sebastian Kurscheid
- The John Curtin School of Medical Research, The Australian National University, Canberra, Australia
| | - Maxim Nekrasov
- The John Curtin School of Medical Research, The Australian National University, Canberra, Australia
| | - Renae Domaschenz
- The John Curtin School of Medical Research, The Australian National University, Canberra, Australia
| | - Daniel L Vera
- College of Arts and Sciences, Department of Biological Sciences, Florida State University, Tallahassee, FL, USA
- Department of Genetics, Blavatnik Institute, Paul F. Glenn Center for Biology of Aging Research, Harvard Medical School, Boston, MA, USA
| | - Jonathan H Dennis
- College of Arts and Sciences, Department of Biological Sciences, Florida State University, Tallahassee, FL, USA.
| | - David J Tremethick
- The John Curtin School of Medical Research, The Australian National University, Canberra, Australia.
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Parvathaneni RK, Bertolini E, Shamimuzzaman M, Vera DL, Lung PY, Rice BR, Zhang J, Brown PJ, Lipka AE, Bass HW, Eveland AL. The regulatory landscape of early maize inflorescence development. Genome Biol 2020; 21:165. [PMID: 32631399 PMCID: PMC7336428 DOI: 10.1186/s13059-020-02070-8] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2019] [Accepted: 06/11/2020] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND The functional genome of agronomically important plant species remains largely unexplored, yet presents a virtually untapped resource for targeted crop improvement. Functional elements of regulatory DNA revealed through profiles of chromatin accessibility can be harnessed for fine-tuning gene expression to optimal phenotypes in specific environments. RESULT Here, we investigate the non-coding regulatory space in the maize (Zea mays) genome during early reproductive development of pollen- and grain-bearing inflorescences. Using an assay for differential sensitivity of chromatin to micrococcal nuclease (MNase) digestion, we profile accessible chromatin and nucleosome occupancy in these largely undifferentiated tissues and classify at least 1.6% of the genome as accessible, with the majority of MNase hypersensitive sites marking proximal promoters, but also 3' ends of maize genes. This approach maps regulatory elements to footprint-level resolution. Integration of complementary transcriptome profiles and transcription factor occupancy data are used to annotate regulatory factors, such as combinatorial transcription factor binding motifs and long non-coding RNAs, that potentially contribute to organogenesis, including tissue-specific regulation between male and female inflorescence structures. Finally, genome-wide association studies for inflorescence architecture traits based solely on functional regions delineated by MNase hypersensitivity reveals new SNP-trait associations in known regulators of inflorescence development as well as new candidates. CONCLUSIONS These analyses provide a comprehensive look into the cis-regulatory landscape during inflorescence differentiation in a major cereal crop, which ultimately shapes architecture and influences yield potential.
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Affiliation(s)
| | | | - Md Shamimuzzaman
- Donald Danforth Plant Science Center, St. Louis, MO 63132 USA
- Current address: USDA-ARS Edward T. Schafer Agricultural Research Center, Fargo, ND 58102 USA
| | - Daniel L. Vera
- The Center for Genomics and Personalized Medicine, Florida State University, Tallahassee, FL 32306 USA
- Current address: Department of Genetics, Harvard Medical School, Boston, MA 02115 USA
| | - Pei-Yau Lung
- Department of Statistics, Florida State University, Tallahassee, FL 32306 USA
| | - Brian R. Rice
- Department of Crop Sciences, University of Illinois Urbana-Champaign, Urbana, IL 61801 USA
| | - Jinfeng Zhang
- Department of Statistics, Florida State University, Tallahassee, FL 32306 USA
| | - Patrick J. Brown
- Department of Plant Sciences, University of California, Davis, CA 95616 USA
| | - Alexander E. Lipka
- Department of Crop Sciences, University of Illinois Urbana-Champaign, Urbana, IL 61801 USA
| | - Hank W. Bass
- Department of Biological Science, Florida State University, Tallahassee, FL 32306 USA
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7
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Wheeler E, Brooks AM, Concia L, Vera DL, Wear EE, LeBlanc C, Ramu U, Vaughn MW, Bass HW, Martienssen RA, Thompson WF, Hanley-Bowdoin L. Arabidopsis DNA Replication Initiates in Intergenic, AT-Rich Open Chromatin. Plant Physiol 2020; 183:206-220. [PMID: 32205451 PMCID: PMC7210620 DOI: 10.1104/pp.19.01520] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/20/2019] [Accepted: 03/03/2020] [Indexed: 05/04/2023]
Abstract
The selection and firing of DNA replication origins play key roles in ensuring that eukaryotes accurately replicate their genomes. This process is not well documented in plants due in large measure to difficulties in working with plant systems. We developed a new functional assay to label and map very early replicating loci that must, by definition, include at least a subset of replication origins. Arabidopsis (Arabidopsis thaliana) cells were briefly labeled with 5-ethynyl-2'-deoxy-uridine, and nuclei were subjected to two-parameter flow sorting. We identified more than 5500 loci as initiation regions (IRs), the first regions to replicate in very early S phase. These were classified as strong or weak IRs based on the strength of their replication signals. Strong initiation regions were evenly spaced along chromosomal arms and depleted in centromeres, while weak initiation regions were enriched in centromeric regions. IRs are AT-rich sequences flanked by more GC-rich regions and located predominantly in intergenic regions. Nuclease sensitivity assays indicated that IRs are associated with accessible chromatin. Based on these observations, initiation of plant DNA replication shows some similarity to, but is also distinct from, initiation in other well-studied eukaryotic systems.
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Affiliation(s)
- Emily Wheeler
- North Carolina State University, Department of Plant and Microbial Biology, Raleigh, North Carolina 27695
| | - Ashley M Brooks
- North Carolina State University, Department of Plant and Microbial Biology, Raleigh, North Carolina 27695
| | - Lorenzo Concia
- North Carolina State University, Department of Plant and Microbial Biology, Raleigh, North Carolina 27695
| | - Daniel L Vera
- Florida State University, Center for Genomics and Personalized Medicine, Tallahassee, Florida 32306
| | - Emily E Wear
- North Carolina State University, Department of Plant and Microbial Biology, Raleigh, North Carolina 27695
| | - Chantal LeBlanc
- Howard Hughes Medical Institute, Cold Spring Harbor Laboratory, Cold Spring Harbor, New York 11724
| | - Umamaheswari Ramu
- Howard Hughes Medical Institute, Cold Spring Harbor Laboratory, Cold Spring Harbor, New York 11724
| | - Matthew W Vaughn
- Texas Advanced Computing Center, University of Texas, Austin, Texas 78758
| | - Hank W Bass
- Florida State University, Department of Biological Science, Tallahassee, Florida 32306
| | - Robert A Martienssen
- Howard Hughes Medical Institute, Cold Spring Harbor Laboratory, Cold Spring Harbor, New York 11724
| | - William F Thompson
- North Carolina State University, Department of Plant and Microbial Biology, Raleigh, North Carolina 27695
| | - Linda Hanley-Bowdoin
- North Carolina State University, Department of Plant and Microbial Biology, Raleigh, North Carolina 27695
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8
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Donovan M, Lynch MDJ, Mackey CS, Platt GN, Washburn BK, Vera DL, Trickey DJ, Charles TC, Wang Z, Jones KM. Metagenome-Assembled Genome Sequences of Five Strains from the Microtus ochrogaster (Prairie Vole) Fecal Microbiome. Microbiol Resour Announc 2020; 9:e01310-19. [PMID: 31919172 PMCID: PMC6952658 DOI: 10.1128/mra.01310-19] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2019] [Accepted: 11/30/2019] [Indexed: 01/09/2023] Open
Abstract
The prairie vole (Microtus ochrogaster) is an important model for the study of social monogamy and dual parental care of offspring. Characterization of specific host species-microbe strain interactions is critical for understanding the effects of the microbiota on mood and behavior. The five metagenome-assembled genome sequences reported here represent an important step in defining the prairie vole microbiome.
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Affiliation(s)
- Meghan Donovan
- Department of Psychology, Florida State University, Tallahassee, Florida, USA
| | - Michael D J Lynch
- Metagenom Bio, Waterloo, Ontario, Canada
- University of Waterloo, Waterloo, Ontario, Canada
| | - Calvin S Mackey
- Department of Biological Science, Florida State University, Tallahassee, Florida, USA
| | - Grayson N Platt
- Department of Biological Science, Florida State University, Tallahassee, Florida, USA
- Department of Psychology, Florida State University, Tallahassee, Florida, USA
| | - Brian K Washburn
- Department of Biological Science Core Facilities, Florida State University, Tallahassee, Florida, USA
| | - Daniel L Vera
- Department of Biological Science, Center for Genomics and Personalized Medicine, Florida State University, Tallahassee, Florida, USA
| | - Darryl J Trickey
- Department of Biological Science, Florida State University, Tallahassee, Florida, USA
| | - Trevor C Charles
- Metagenom Bio, Waterloo, Ontario, Canada
- University of Waterloo, Waterloo, Ontario, Canada
| | - Zuoxin Wang
- Department of Psychology, Florida State University, Tallahassee, Florida, USA
| | - Kathryn M Jones
- Department of Biological Science, Florida State University, Tallahassee, Florida, USA
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9
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Turpin ZM, Vera DL, Savadel SD, Lung PY, Wear EE, Mickelson-Young L, Thompson WF, Hanley-Bowdoin L, Dennis JH, Zhang J, Bass HW. Chromatin structure profile data from DNS-seq: Differential nuclease sensitivity mapping of four reference tissues of B73 maize ( Zea mays L). Data Brief 2018; 20:358-363. [PMID: 30175199 PMCID: PMC6117953 DOI: 10.1016/j.dib.2018.08.015] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2018] [Revised: 07/12/2018] [Accepted: 08/06/2018] [Indexed: 11/17/2022] Open
Abstract
Presented here are data from Next-Generation Sequencing of differential micrococcal nuclease digestions of formaldehyde-crosslinked chromatin in selected tissues of maize (Zea mays) inbred line B73. Supplemental materials include a wet-bench protocol for making DNS-seq libraries, the DNS-seq data processing pipeline for producing genome browser tracks. This report also includes the peak-calling pipeline using the iSeg algorithm to segment positive and negative peaks from the DNS-seq difference profiles. The data repository for the sequence data is the NCBI SRA, BioProject Accession PRJNA445708.
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Affiliation(s)
- Zachary M. Turpin
- Department of Biological Science, Florida State University, Tallahassee, FL 32306-4295, USA
| | - Daniel L. Vera
- Center for Genomics and Personalized Medicine, Florida State University, Tallahassee, FL, USA
| | - Savannah D. Savadel
- Department of Biological Science, Florida State University, Tallahassee, FL 32306-4295, USA
| | - Pei-Yau Lung
- Department of Statistics, Florida State University, Tallahassee, FL, 32306, USA
| | - Emily E. Wear
- Department of Plant and Microbial Biology, North Carolina State University, Raleigh 27606, USA
| | - Leigh Mickelson-Young
- Department of Plant and Microbial Biology, North Carolina State University, Raleigh 27606, USA
| | - William F. Thompson
- Department of Plant and Microbial Biology, North Carolina State University, Raleigh 27606, USA
| | - Linda Hanley-Bowdoin
- Department of Plant and Microbial Biology, North Carolina State University, Raleigh 27606, USA
| | - Jonathan H. Dennis
- Department of Biological Science, Florida State University, Tallahassee, FL 32306-4295, USA
| | - Jinfeng Zhang
- Department of Statistics, Florida State University, Tallahassee, FL, 32306, USA
| | - Hank W. Bass
- Department of Biological Science, Florida State University, Tallahassee, FL 32306-4295, USA
- Corresponding author.
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10
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Girimurugan SB, Liu Y, Lung PY, Vera DL, Dennis JH, Bass HW, Zhang J. iSeg: an efficient algorithm for segmentation of genomic and epigenomic data. BMC Bioinformatics 2018; 19:131. [PMID: 29642840 PMCID: PMC5896135 DOI: 10.1186/s12859-018-2140-3] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2017] [Accepted: 03/26/2018] [Indexed: 11/16/2022] Open
Abstract
Background Identification of functional elements of a genome often requires dividing a sequence of measurements along a genome into segments where adjacent segments have different properties, such as different mean values. Despite dozens of algorithms developed to address this problem in genomics research, methods with improved accuracy and speed are still needed to effectively tackle both existing and emerging genomic and epigenomic segmentation problems. Results We designed an efficient algorithm, called iSeg, for segmentation of genomic and epigenomic profiles. iSeg first utilizes dynamic programming to identify candidate segments and test for significance. It then uses a novel data structure based on two coupled balanced binary trees to detect overlapping significant segments and update them simultaneously during searching and refinement stages. Refinement and merging of significant segments are performed at the end to generate the final set of segments. By using an objective function based on the p-values of the segments, the algorithm can serve as a general computational framework to be combined with different assumptions on the distributions of the data. As a general segmentation method, it can segment different types of genomic and epigenomic data, such as DNA copy number variation, nucleosome occupancy, nuclease sensitivity, and differential nuclease sensitivity data. Using simple t-tests to compute p-values across multiple datasets of different types, we evaluate iSeg using both simulated and experimental datasets and show that it performs satisfactorily when compared with some other popular methods, which often employ more sophisticated statistical models. Implemented in C++, iSeg is also very computationally efficient, well suited for large numbers of input profiles and data with very long sequences. Conclusions We have developed an efficient general-purpose segmentation tool and showed that it had comparable or more accurate results than many of the most popular segment-calling algorithms used in contemporary genomic data analysis. iSeg is capable of analyzing datasets that have both positive and negative values. Tunable parameters allow users to readily adjust the statistical stringency to best match the biological nature of individual datasets, including widely or sparsely mapped genomic datasets or those with non-normal distributions. Electronic supplementary material The online version of this article (10.1186/s12859-018-2140-3) contains supplementary material, which is available to authorized users.
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Affiliation(s)
| | - Yuhang Liu
- Department of Statistics, Florida State University, Tallahassee, FL, USA
| | - Pei-Yau Lung
- Department of Statistics, Florida State University, Tallahassee, FL, USA
| | - Daniel L Vera
- Center for Genomics and Personalized Medicine, Florida State University, Tallahassee, FL, USA
| | - Jonathan H Dennis
- Department of Biological Science, Florida State University, Tallahassee, FL, USA
| | - Hank W Bass
- Department of Biological Science, Florida State University, Tallahassee, FL, USA
| | - Jinfeng Zhang
- Department of Statistics, Florida State University, Tallahassee, FL, USA.
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11
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Sexton BS, Druliner BR, Vera DL, Avey D, Zhu F, Dennis JH. Hierarchical regulation of the genome: global changes in nucleosome organization potentiate genome response. Oncotarget 2016; 7:6460-75. [PMID: 26771136 PMCID: PMC4872727 DOI: 10.18632/oncotarget.6841] [Citation(s) in RCA: 12] [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: 12/22/2015] [Accepted: 12/28/2015] [Indexed: 11/25/2022] Open
Abstract
Nucleosome occupancy is critically important in regulating access to the eukaryotic genome. Few studies in human cells have measured genome-wide nucleosome distributions at high temporal resolution during a response to a common stimulus. We measured nucleosome distributions at high temporal resolution following Kaposi's-sarcoma-associated herpesvirus (KSHV) reactivation using our newly developed mTSS-seq technology, which maps nucleosome distribution at the transcription start sites (TSS) of all human genes. Nucleosomes underwent widespread changes in organization 24 hours after KSHV reactivation and returned to their basal nucleosomal architecture 48 hours after KSHV reactivation. The widespread changes consisted of an indiscriminate remodeling event resulting in the loss of nucleosome rotational phasing signals. Additionally, one in six TSSs in the human genome possessed nucleosomes that are translationally remodeled. 72% of the loci with translationally remodeled nucleosomes have nucleosomes that moved to positions encoded by the underlying DNA sequence. Finally we demonstrated that these widespread alterations in nucleosomal architecture potentiated regulatory factor binding. These descriptions of nucleosomal architecture changes provide a new framework for understanding the role of chromatin in the genomic response, and have allowed us to propose a hierarchical model for chromatin-based regulation of genome response.
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Affiliation(s)
- Brittany S Sexton
- Department of Biological Science, The Florida State University, Tallahassee, Florida, USA
| | - Brooke R Druliner
- Department of Biological Science, The Florida State University, Tallahassee, Florida, USA.,Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota, USA
| | - Daniel L Vera
- Department of Biological Science, The Florida State University, Tallahassee, Florida, USA.,The Center for Genomics and Personalized Medicine The Florida State University, Tallahassee, Florida, USA
| | - Denis Avey
- Department of Biological Science, The Florida State University, Tallahassee, Florida, USA
| | - Fanxiu Zhu
- Department of Biological Science, The Florida State University, Tallahassee, Florida, USA
| | - Jonathan H Dennis
- Department of Biological Science, The Florida State University, Tallahassee, Florida, USA
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12
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Sotolongo-Lopez M, Alvarez-Delfin K, Saade CJ, Vera DL, Fadool JM. Genetic Dissection of Dual Roles for the Transcription Factor six7 in Photoreceptor Development and Patterning in Zebrafish. PLoS Genet 2016; 12:e1005968. [PMID: 27058886 PMCID: PMC4825938 DOI: 10.1371/journal.pgen.1005968] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2015] [Accepted: 03/09/2016] [Indexed: 11/30/2022] Open
Abstract
The visual system of a particular species is highly adapted to convey detailed ecological and behavioral information essential for survival. The consequences of structural mutations of opsins upon spectral sensitivity and environmental adaptation have been studied in great detail, but lacking is knowledge of the potential influence of alterations in gene regulatory networks upon the diversity of cone subtypes and the variation in the ratio of rods and cones observed in numerous diurnal and nocturnal species. Exploiting photoreceptor patterning in cone-dominated zebrafish, we uncovered two independent mechanisms by which the sine oculis homeobox homolog 7 (six7) regulates photoreceptor development. In a genetic screen, we isolated the lots-of-rods-junior (ljrp23ahub) mutation that resulted in an increased number and uniform distribution of rods in otherwise normal appearing larvae. Sequence analysis, genome editing using TALENs and knockdown strategies confirm ljrp23ahub as a hypomorphic allele of six7, a teleost orthologue of six3, with known roles in forebrain patterning and expression of opsins. Based on the lack of predicted protein-coding changes and a deletion of a conserved element upstream of the transcription start site, a cis-regulatory mutation is proposed as the basis of the reduced expression of six7 in ljrp23ahub. Comparison of the phenotypes of the hypomorphic and knock-out alleles provides evidence of two independent roles in photoreceptor development. EdU and PH3 labeling show that the increase in rod number is associated with extended mitosis of photoreceptor progenitors, and TUNEL suggests that the lack of green-sensitive cones is the result of cell death of the cone precursor. These data add six7 to the small but growing list of essential genes for specification and patterning of photoreceptors in non-mammalian vertebrates, and highlight alterations in transcriptional regulation as a potential source of photoreceptor variation across species.
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Affiliation(s)
- Mailin Sotolongo-Lopez
- Department of Biological Science, The Florida State University, Tallahassee, Florida, United States of America
| | - Karen Alvarez-Delfin
- Department of Biological Science, The Florida State University, Tallahassee, Florida, United States of America
| | - Carole J. Saade
- Department of Biological Science, The Florida State University, Tallahassee, Florida, United States of America
- Program in Neuroscience, The Florida State University, Tallahassee, Florida, United States of America
| | - Daniel L. Vera
- Center for Genomics and Personalized Medicine, The Florida State University, Tallahassee, Florida, United States of America
| | - James M. Fadool
- Department of Biological Science, The Florida State University, Tallahassee, Florida, United States of America
- Program in Neuroscience, The Florida State University, Tallahassee, Florida, United States of America
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13
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Dileep V, Ay F, Sima J, Vera DL, Noble WS, Gilbert DM. Topologically associating domains and their long-range contacts are established during early G1 coincident with the establishment of the replication-timing program. Genome Res 2015; 25:1104-13. [PMID: 25995270 PMCID: PMC4509995 DOI: 10.1101/gr.183699.114] [Citation(s) in RCA: 144] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2014] [Accepted: 05/18/2015] [Indexed: 01/28/2023]
Abstract
Mammalian genomes are partitioned into domains that replicate in a defined temporal order. These domains can replicate at similar times in all cell types (constitutive) or at cell type-specific times (developmental). Genome-wide chromatin conformation capture (Hi-C) has revealed sub-megabase topologically associating domains (TADs), which are the structural counterparts of replication domains. Hi-C also segregates inter-TAD contacts into defined 3D spatial compartments that align precisely to genome-wide replication timing profiles. Determinants of the replication-timing program are re-established during early G1 phase of each cell cycle and lost in G2 phase, but it is not known when TAD structure and inter-TAD contacts are re-established after their elimination during mitosis. Here, we use multiplexed 4C-seq to study dynamic changes in chromatin organization during early G1. We find that both establishment of TADs and their compartmentalization occur during early G1, within the same time frame as establishment of the replication-timing program. Once established, this 3D organization is preserved either after withdrawal into quiescence or for the remainder of interphase including G2 phase, implying 3D structure is not sufficient to maintain replication timing. Finally, we find that developmental domains are less well compartmentalized than constitutive domains and display chromatin properties that distinguish them from early and late constitutive domains. Overall, this study uncovers a strong connection between chromatin re-organization during G1, establishment of replication timing, and its developmental control.
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Affiliation(s)
- Vishnu Dileep
- Department of Biological Science, Florida State University, Tallahassee, Florida 32306, USA
| | - Ferhat Ay
- Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA
| | - Jiao Sima
- Department of Biological Science, Florida State University, Tallahassee, Florida 32306, USA
| | - Daniel L Vera
- Center for Genomics and Personalized Medicine, Florida State University, Tallahassee, Florida 32306, USA
| | - William S Noble
- Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA
| | - David M Gilbert
- Department of Biological Science, Florida State University, Tallahassee, Florida 32306, USA; Center for Genomics and Personalized Medicine, Florida State University, Tallahassee, Florida 32306, USA
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14
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Ren Y, Vera DL, Hughes KA, Dennis JH. Stimulation of the Drosophila immune system alters genome-wide nucleosome occupancy. Genom Data 2015; 3:146-7. [PMID: 26484165 PMCID: PMC4535615 DOI: 10.1016/j.gdata.2015.01.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/31/2014] [Accepted: 01/03/2015] [Indexed: 10/26/2022]
Abstract
In eukaryotes, nucleosomes participate in all DNA-templated events by regulating access to the underlying DNA sequence. However, nucleosome dynamics during a genome response have not been well characterized [1,2]. We stimulated Drosophila S2 cells with heat-killed Gram-negative bacteria Salmonella typhimurium, and mapped genome-wide nucleosome occupancy at high temporal resolution by MNase-seq using Illumina HiSeq 2500. We show widespread nucleosome occupancy change in S2 cells during the immune response, with the significant nucleosomal loss occurring at 4 h after stimulation. Data have been deposited to the Gene Expression Omnibus (GEO) database repository with the dataset identifier GSE64507.
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Affiliation(s)
- Yingxue Ren
- Department of Biological Science, Florida State University, Tallahassee, FL 32306, USA
| | - Daniel L Vera
- Department of Biological Science, Florida State University, Tallahassee, FL 32306, USA
| | - Kimberly A Hughes
- Department of Biological Science, Florida State University, Tallahassee, FL 32306, USA
| | - Jonathan H Dennis
- Department of Biological Science, Florida State University, Tallahassee, FL 32306, USA
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15
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Vera DL, Madzima TF, Labonne JD, Alam MP, Hoffman GG, Girimurugan SB, Zhang J, McGinnis KM, Dennis JH, Bass HW. Differential nuclease sensitivity profiling of chromatin reveals biochemical footprints coupled to gene expression and functional DNA elements in maize. Plant Cell 2014; 26:3883-93. [PMID: 25361955 PMCID: PMC4247582 DOI: 10.1105/tpc.114.130609] [Citation(s) in RCA: 45] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/07/2014] [Revised: 10/03/2014] [Accepted: 10/14/2014] [Indexed: 05/19/2023]
Abstract
The eukaryotic genome is organized into nucleosomes, the fundamental units of chromatin. The positions of nucleosomes on DNA regulate protein-DNA interactions and in turn influence DNA-templated events. Despite the increasing number of genome-wide maps of nucleosome position, how global changes in gene expression relate to changes in nucleosome position is poorly understood. We show that in nucleosome occupancy mapping experiments in maize (Zea mays), particular genomic regions are highly susceptible to variation introduced by differences in the extent to which chromatin is digested with micrococcal nuclease (MNase). We exploited this digestion-linked variation to identify protein footprints that are hypersensitive to MNase digestion, an approach we term differential nuclease sensitivity profiling (DNS-chip). Hypersensitive footprints were enriched at the 5' and 3' ends of genes, associated with gene expression levels, and significantly overlapped with conserved noncoding sequences and the binding sites of the transcription factor KNOTTED1. We also found that the tissue-specific regulation of gene expression was linked to tissue-specific hypersensitive footprints. These results reveal biochemical features of nucleosome organization that correlate with gene expression levels and colocalize with functional DNA elements. This approach to chromatin profiling should be broadly applicable to other species and should shed light on the relationships among chromatin organization, protein-DNA interactions, and genome regulation.
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Affiliation(s)
- Daniel L Vera
- Department of Biological Science, Florida State University, Tallahassee, Florida 32306-4295
| | - Thelma F Madzima
- Department of Biological Science, Florida State University, Tallahassee, Florida 32306-4295
| | - Jonathan D Labonne
- Department of Biological Science, Florida State University, Tallahassee, Florida 32306-4295
| | - Mohammad P Alam
- Department of Biological Science, Florida State University, Tallahassee, Florida 32306-4295
| | - Gregg G Hoffman
- Department of Biological Science, Florida State University, Tallahassee, Florida 32306-4295
| | - S B Girimurugan
- Department of Statistics, Florida State University, Tallahassee, Florida 32306
| | - Jinfeng Zhang
- Department of Statistics, Florida State University, Tallahassee, Florida 32306
| | - Karen M McGinnis
- Department of Biological Science, Florida State University, Tallahassee, Florida 32306-4295
| | - Jonathan H Dennis
- Department of Biological Science, Florida State University, Tallahassee, Florida 32306-4295
| | - Hank W Bass
- Department of Biological Science, Florida State University, Tallahassee, Florida 32306-4295
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16
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Sexton BS, Avey D, Druliner BR, Fincher JA, Vera DL, Grau DJ, Borowsky ML, Gupta S, Girimurugan SB, Chicken E, Zhang J, Noble WS, Zhu F, Kingston RE, Dennis JH. The spring-loaded genome: nucleosome redistributions are widespread, transient, and DNA-directed. Genome Res 2013; 24:251-9. [PMID: 24310001 PMCID: PMC3912415 DOI: 10.1101/gr.160150.113] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Nucleosome occupancy plays a key role in regulating access to eukaryotic genomes. Although various chromatin regulatory complexes are known to regulate nucleosome occupancy, the role of DNA sequence in this regulation remains unclear, particularly in mammals. To address this problem, we measured nucleosome distribution at high temporal resolution in human cells at hundreds of genes during the reactivation of Kaposi's sarcoma–associated herpesvirus (KSHV). We show that nucleosome redistribution peaks at 24 h post-KSHV reactivation and that the nucleosomal redistributions are widespread and transient. To clarify the role of DNA sequence in these nucleosomal redistributions, we compared the genes with altered nucleosome distribution to a sequence-based computer model and in vitro–assembled nucleosomes. We demonstrate that both the predicted model and the assembled nucleosome distributions are concordant with the majority of nucleosome redistributions at 24 h post-KSHV reactivation. We suggest a model in which loci are held in an unfavorable chromatin architecture and “spring” to a transient intermediate state directed by DNA sequence information. We propose that DNA sequence plays a more considerable role in the regulation of nucleosome positions than was previously appreciated. The surprising findings that nucleosome redistributions are widespread, transient, and DNA-directed shift the current perspective regarding regulation of nucleosome distribution in humans.
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Affiliation(s)
- Brittany S Sexton
- Department of Biological Science, The Florida State University, Tallahassee, Florida 32306-4295, USA
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17
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Fincher JA, Vera DL, Hughes DD, McGinnis KM, Dennis JH, Bass HW. Genome-wide prediction of nucleosome occupancy in maize reveals plant chromatin structural features at genes and other elements at multiple scales. Plant Physiol 2013; 162:1127-41. [PMID: 23572549 PMCID: PMC3668044 DOI: 10.1104/pp.113.216432] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/02/2023]
Abstract
The nucleosome is a fundamental structural and functional chromatin unit that affects nearly all DNA-templated events in eukaryotic genomes. It is also a biochemical substrate for higher order, cis-acting gene expression codes and the monomeric structural unit for chromatin packaging at multiple scales. To predict the nucleosome landscape of a model plant genome, we used a support vector machine computational algorithm trained on human chromatin to predict the nucleosome occupancy likelihood (NOL) across the maize (Zea mays) genome. Experimentally validated NOL plots provide a novel genomic annotation that highlights gene structures, repetitive elements, and chromosome-scale domains likely to reflect regional gene density. We established a new genome browser (http://www.genomaize.org) for viewing support vector machine-based NOL scores. This annotation provides sequence-based comprehensive coverage across the entire genome, including repetitive genomic regions typically excluded from experimental genomics data. We find that transposable elements often displayed family-specific NOL profiles that included distinct regions, especially near their termini, predicted to have strong affinities for nucleosomes. We examined transcription start site consensus NOL plots for maize gene sets and discovered that most maize genes display a typical +1 nucleosome positioning signal just downstream of the start site but not upstream. This overall lack of a -1 nucleosome positioning signal was also predicted by our method for Arabidopsis (Arabidopsis thaliana) genes and verified by additional analysis of previously published Arabidopsis MNase-Seq data, revealing a general feature of plant promoters. Our study advances plant chromatin research by defining the potential contribution of the DNA sequence to observed nucleosome positioning and provides an invariant baseline annotation against which other genomic data can be compared.
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18
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Abstract
The development and progression of lung adenocarcinoma, one of the most common cancers, is driven by the interplay of genetic and epigenetic changes and the role of chromatin structure in malignant transformation remains poorly understood. We used systematic nucleosome distribution and chromatin accessibility microarray mapping platforms to analyze the genome-wide chromatin structure from normal tissues and from primary lung adenocarcinoma of different grades and stages. We identified chromatin-based patterns across different patients with lung adenocarcinoma of different cancer grade and stage. Low-grade cancers had nucleosome distributions very different compared with the corresponding normal tissue but had nearly identical chromatin accessibility. Conversely, nucleosome distributions of high-grade cancers showed few differences. Substantial disruptions in chromosomal accessibility were seen in a patient with a high-grade and high-stage tumor. These data imply that chromatin structure changes during the progression of lung adenocarcinoma. We have therefore developed a model in which low-grade lung adenocarcinomas are linked to changes in nucleosome distributions, whereas higher-grade tumors are linked to large-scale chromosomal changes. These results provide a foundation for the development of a comprehensive framework linking the general and locus-specific roles of chromatin structure to lung cancer progression. We propose that this strategy has the potential to identify a new class of chromatin-based diagnostic, prognostic and therapeutic markers in cancer progression.
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Affiliation(s)
- Brooke R Druliner
- Department of Biological Science, Florida State University, Tallahassee, FL, USA
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19
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Rossini MN, Giayetto AL, Vera DL, Frayssinet S. First Report in Argentina of Apple stem pitting virus Causing Pear Vein Yellows Disease in Pear. Plant Dis 2010; 94:488. [PMID: 30754511 DOI: 10.1094/pdis-94-4-0488a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
Apple stem pitting virus (ASPV) is an important latent virus of apple trees transmitted by grafting. In pear trees, ASPV is associated with pear vein yellows and pear necrotic spot diseases. Symptoms consist of chlorotic leaf banding and red mottling and flecking along the veins and necrotic spotting in some cultivars may also occur (4). During the spring of 2007, chlorotic leaf banding was observed in Bartlett pear (Pyrus communis L.) trees from one orchard in Bahía Blanca (Buenos Aires Province) and in Anjou, Packham, Abate Fetel, and Bartlett pears in another orchard in General Roca (Río Negro Province). The percentage of symptomatic plants was 10% in both cases. Pooled samples consisting of eight leaves per tree, 25 samples from Bahía Blanca and 25 samples from General Roca, were tested by double-antibody sandwich (DAS)-ELISA with a polyclonal antiserum from BIOREBA AG (Reinach, Switzerland). Five samples from Bahía Blanca and ten from General Roca were positive by DAS-ELISA. Only four positive samples by DAS-ELISA were also positive by immunocapture-reverse transcription (RT)-PCR using virions trapped in a microcentrifuge tube (3). A fragment of 370 bp was amplified with specific primers from each of these four samples. Amplicons were cloned and the nucleotide sequences were determined for one clone of each sample (GenBank Accession Nos. GQ356781, GQ356782, GQ356783, and GQ356784). All sequences had the highest identities with coat protein genes of ASPV. One of them was 94% identical with the coat protein gene of isolate PA66 isolate from Germany (GenBank Accession No. D21829.1) (1). Losses in pear by ASPV have not been demonstrated yet in Argentina. However, when the virus is present with other virus or virus-like diseases, a synergistic effect may occur and growth reduction may exceed 50% (2). Because of the mild symptoms in pear plants, nurserymen or growers must take care when they select material for propagation, in part because laws requiring virus-free propagation material do not exist in Argentina. To our knowledge, this is the first report of ASPV in pears in Argentina. References: (1) W. Jelkmann. J. Gen. Virol. 75:1535, 1994. (2) A. L. Jones and H. S. Aldwinckle. Compendium of Apple and Pear Diseases. The American Phytopathological Society, St. Paul, MN, 1990. (3) W. Menzel et al. J. Virol. Methods 99:81, 2002. (4) M. Németh. Virus, Mycoplasma and Rickettsia Disease of Fruit Trees. Martinus Nijhoff Publishers, Dordrecht, the Netherlands, 1986.
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Affiliation(s)
- M N Rossini
- Instituto Nacional de Tecnología Agropecuaria. EEA ALTO VALLE, Ruta Nac. 22 Km 1182, Ctte. Guerrico, Río Negro-CP 8332-CC 782, Argentina
| | - A L Giayetto
- Instituto Nacional de Tecnología Agropecuaria. EEA ALTO VALLE, Ruta Nac. 22 Km 1182, Ctte. Guerrico, Río Negro-CP 8332-CC 782, Argentina
| | - D L Vera
- Instituto Nacional de Tecnología Agropecuaria. EEA ALTO VALLE, Ruta Nac. 22 Km 1182, Ctte. Guerrico, Río Negro-CP 8332-CC 782, Argentina
| | - S Frayssinet
- U. N. del Sur. San Andrés 700-CP 8000. Bahía Blanca, Buenos Aires, Argentina
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