1
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Masuelli RW, Cara N, Kozub PC. Unveiling the hidden codes: a review of variability and ecological epigenetics after 20 years of studies on potato. PLANT BIOLOGY (STUTTGART, GERMANY) 2025; 27:325-332. [PMID: 40016622 DOI: 10.1111/plb.70003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/25/2023] [Accepted: 01/15/2025] [Indexed: 03/01/2025]
Abstract
The cultivated potato Solanum tuberosum subsp. tuberosum L. retains an important reservoir of genetic diversity in its secondary gene pool. More than 100 wild species of potato, with ploidies from 2x to 6x, grow in the Americas. These species are adapted to contrasting environments, showing wide phenotypic diversity in leaf, floral, and tuber morphology. The taxonomic relationship among species is not clear, mainly due to little chromosomal differentiation and pervasive interspecific hybridization. This review summarizes data from more than 20 years of studies on genetic and epigenetic variability of potato species, highlighting the importance of epigenetic variability, hybridization, and polyploidization in the evolution and diversification of this group. The epigenetic diversity of these species remains poorly characterized. This review addresses the ecological implications of epigenetic variation, emphasizing its role in plant adaptation to changing environments. Finally, the study proposes a model that integrates epigenetic variability into the evolution of natural potato populations, highlighting its potential for rapid adaptation and phenotypic differentiation.
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Affiliation(s)
- R W Masuelli
- Instituto de Biología Agrícola de Mendoza, Facultad de Ciencias Agrarias, Consejo Nacional de Investigaciones Científicas y Técnicas, Universidad Nacional de Cuyo, Mendoza, Argentina
| | - N Cara
- Facultad de Ciencias Agrarias, Universidad Nacional de Cuyo, Mendoza, Argentina
| | - P C Kozub
- Instituto de Biología Agrícola de Mendoza, Facultad de Ciencias Agrarias, Consejo Nacional de Investigaciones Científicas y Técnicas, Universidad Nacional de Cuyo, Mendoza, Argentina
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2
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Nilsen AML, Hoarau G, Smolina I, Coyer JA, Boström C, Kopp MEL, Jueterbock A. The methylome of clonal seagrass shoots shows age-associated variation and differentiation of roots from other tissues. Biochim Biophys Acta Gen Subj 2025; 1869:130748. [PMID: 39719185 DOI: 10.1016/j.bbagen.2024.130748] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Revised: 09/30/2024] [Accepted: 12/16/2024] [Indexed: 12/26/2024]
Abstract
Factors influencing variance of DNA methylation in vegetatively reproducing plants, both terrestrial plants and aquatic seagrasses, is just beginning to be understood. Improving our knowledge of these mechanisms will increase understanding of transgenerational epigenetics in plant clones, of the relationship between DNA methylation and seagrass development, and of the drivers of epigenetic variation, which may underly acclimation in clonally reproducing plants. Here, we sampled leaves, rhizomes and roots of three physically and spatially separated ramet sections from a clonally propagated field of the seagrass Zostera marina. Using reduced methylome sequencing, we studied variations in the methylome of seagrass Zostera marina between the sampled tissue types and across age groups. Our analysis of ramets of different ages showed variations in methylation between older and younger samples in both specific methylation patterns and global methylation levels. Our analysis of tissue types showed a marked differentiation of the roots from the rhizomes and leaves, which showed more similar methylation patterns. These findings are in agreement with the strong connection of DNA methylation and plant development and tissue differentiation. We also suggest an effect of differential environmental exposures on the methylome of the younger versus the older ramets due to the forming of molecular stress memories.
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Affiliation(s)
- Anne M L Nilsen
- Algal and Microbial Biotechnology Division, Faculty of Biosciences and Aquaculture, Nord University, Universitetsalléen 11, 8026 Bodø, Norway.
| | - Galice Hoarau
- Marine Molecular Ecology Group, Faculty of Biosciences and Aquaculture, Nord University, Universitetsalléen 11, 8026 Bodø, Norway
| | - Irina Smolina
- Marine Molecular Ecology Group, Faculty of Biosciences and Aquaculture, Nord University, Universitetsalléen 11, 8026 Bodø, Norway
| | - James A Coyer
- Shoals Marine Laboratory, University of New Hampshire, Morse Hall, Suite 113, 8 College Road, Durham, NH 03824, USA
| | - Christoffer Boström
- Environmental and Marine Biology, Åbo Akademi University, Henrikinkatu 2, FI-20500 Turku, Finland
| | - Martina E L Kopp
- Marine Molecular Ecology Group, Faculty of Biosciences and Aquaculture, Nord University, Universitetsalléen 11, 8026 Bodø, Norway
| | - Alexander Jueterbock
- Algal and Microbial Biotechnology Division, Faculty of Biosciences and Aquaculture, Nord University, Universitetsalléen 11, 8026 Bodø, Norway
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3
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Mueller SA, Merondun J, Lečić S, Wolf JBW. Epigenetic variation in light of population genetic practice. Nat Commun 2025; 16:1028. [PMID: 39863592 PMCID: PMC11762325 DOI: 10.1038/s41467-025-55989-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Accepted: 01/03/2025] [Indexed: 01/27/2025] Open
Abstract
The evolutionary impact of epigenetic variation depends on its transgenerational stability and source - whether genetically determined, environmentally induced, or due to spontaneous, genotype-independent mutations. Here, we evaluate current approaches for investigating an independent role of epigenetics in evolution, pinpointing methodological challenges. We further identify opportunities arising from integrating epigenetic data with population genetic analyses in natural populations. Efforts to advance data quality, study design, and statistical treatment are encouraged to consolidate our understanding of the source of heritable epigenetic variation, quantify its autonomous potential for evolution, and enrich population genetic analyses with an additional layer of information.
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Affiliation(s)
- Sarah A Mueller
- Division of Evolutionary Biology, Faculty of Biology, LMU Munich, Planegg-Martinsried, Germany.
| | - Justin Merondun
- Division of Evolutionary Biology, Faculty of Biology, LMU Munich, Planegg-Martinsried, Germany
- Department of Microevolution and Biodiversity, Max Planck Institute for Biological Intelligence, Seewiesen, Germany
| | - Sonja Lečić
- Division of Evolutionary Biology, Faculty of Biology, LMU Munich, Planegg-Martinsried, Germany
- Department of Ecosystem Management, Climate and Biodiversity, University of Natural Resources and Life Sciences, Vienna, Austria
| | - Jochen B W Wolf
- Division of Evolutionary Biology, Faculty of Biology, LMU Munich, Planegg-Martinsried, Germany.
- Department of Microevolution and Biodiversity, Max Planck Institute for Biological Intelligence, Seewiesen, Germany.
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4
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Cao S, Chen ZJ. Transgenerational epigenetic inheritance during plant evolution and breeding. TRENDS IN PLANT SCIENCE 2024; 29:1203-1223. [PMID: 38806375 PMCID: PMC11560745 DOI: 10.1016/j.tplants.2024.04.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/14/2024] [Revised: 04/12/2024] [Accepted: 04/25/2024] [Indexed: 05/30/2024]
Abstract
Plants can program and reprogram their genomes to create genetic variation and epigenetic modifications, leading to phenotypic plasticity. Although consequences of genetic changes are comprehensible, the basis for transgenerational inheritance of epigenetic variation is elusive. This review addresses contributions of external (environmental) and internal (genomic) factors to the establishment and maintenance of epigenetic memory during plant evolution, crop domestication, and modern breeding. Dynamic and pervasive changes in DNA methylation and chromatin modifications provide a diverse repertoire of epigenetic variation potentially for transgenerational inheritance. Elucidating and harnessing epigenetic inheritance will help us develop innovative breeding strategies and biotechnological tools to improve crop yield and resilience in the face of environmental challenges. Beyond plants, epigenetic principles are shared across sexually reproducing organisms including humans with relevance to medicine and public health.
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Affiliation(s)
- Shuai Cao
- Temasek Life Sciences Laboratory, National University of Singapore, Singapore 117604, Singapore
| | - Z Jeffrey Chen
- Department of Molecular Biosciences, The University of Texas at Austin, Austin, TX 78712, USA.
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5
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Vo BT, Mas P, Johannes F. Time's up: Epigenetic clocks in plants. CURRENT OPINION IN PLANT BIOLOGY 2024; 81:102602. [PMID: 39024859 DOI: 10.1016/j.pbi.2024.102602] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/11/2024] [Revised: 05/30/2024] [Accepted: 06/26/2024] [Indexed: 07/20/2024]
Abstract
For over a decade, the animal field has led the way in using DNA methylation measurements to construct epigenetic clocks of aging. These clocks can predict organismal age with a level of accuracy that surpasses any other molecular proxy known to date. Evidence is finally emerging that epigenetic clocks also exist in plants. However, these clocks appear to differ from those in animals in some key aspects, including in their ability to measure time beyond the life span of an individual. Clock-like epigenetic changes can be found in plant circadian rhythms (scale: 24 h), during plant aging (scale: weeks/centuries), and across plant lineage evolution (scale: decades/millennia). Here, we provide a first classification of these different types of epigenetic clocks, highlight their main features, and discuss their biological basis.
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Affiliation(s)
- Binh Thanh Vo
- Plant Epigenomics, TUM School of Life Sciences, Technical University of Munich, 85354, Freising, Germany
| | - Paloma Mas
- Centre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB, Campus UAB, Bellaterra, 08193 Barcelona, Spain; Consejo Superior de Investigaciones Científicas (CSIC), 08028 Barcelona, Spain
| | - Frank Johannes
- Plant Epigenomics, TUM School of Life Sciences, Technical University of Munich, 85354, Freising, Germany.
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6
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Sellinger T, Johannes F, Tellier A. Improved inference of population histories by integrating genomic and epigenomic data. eLife 2024; 12:RP89470. [PMID: 39264367 PMCID: PMC11392530 DOI: 10.7554/elife.89470] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/13/2024] Open
Abstract
With the availability of high-quality full genome polymorphism (SNPs) data, it becomes feasible to study the past demographic and selective history of populations in exquisite detail. However, such inferences still suffer from a lack of statistical resolution for recent, for example bottlenecks, events, and/or for populations with small nucleotide diversity. Additional heritable (epi)genetic markers, such as indels, transposable elements, microsatellites, or cytosine methylation, may provide further, yet untapped, information on the recent past population history. We extend the Sequential Markovian Coalescent (SMC) framework to jointly use SNPs and other hyper-mutable markers. We are able to (1) improve the accuracy of demographic inference in recent times, (2) uncover past demographic events hidden to SNP-based inference methods, and (3) infer the hyper-mutable marker mutation rates under a finite site model. As a proof of principle, we focus on demographic inference in Arabidopsis thaliana using DNA methylation diversity data from 10 European natural accessions. We demonstrate that segregating single methylated polymorphisms (SMPs) satisfy the modeling assumptions of the SMC framework, while differentially methylated regions (DMRs) are not suitable as their length exceeds that of the genomic distance between two recombination events. Combining SNPs and SMPs while accounting for site- and region-level epimutation processes, we provide new estimates of the glacial age bottleneck and post-glacial population expansion of the European A. thaliana population. Our SMC framework readily accounts for a wide range of heritable genomic markers, thus paving the way for next-generation inference of evolutionary history by combining information from several genetic and epigenetic markers.
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Affiliation(s)
- Thibaut Sellinger
- Professorship for Population Genetics, Department of Life Science Systems, Technical University of Munich, Munich, Germany
- Department of Environment and Biodiversity, Paris Lodron University of Salzburg, Salzburg, Austria
| | - Frank Johannes
- Professorship for Plant Epigenomics, Department of Molecular Life Sciences, Technical University of Munich, Freising, Germany
| | - Aurélien Tellier
- Professorship for Population Genetics, Department of Life Science Systems, Technical University of Munich, Munich, Germany
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7
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Chen Y, Burian A, Johannes F. Somatic epigenetic drift during shoot branching: a cell lineage-based model. Genetics 2024; 227:iyae091. [PMID: 38809088 DOI: 10.1093/genetics/iyae091] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2024] [Revised: 05/14/2024] [Accepted: 05/20/2024] [Indexed: 05/30/2024] Open
Abstract
Plant architecture is shaped by the production of new organs, most of which emerge postembryonically. This process includes the formation of new lateral branches along existing shoots. Current evidence supports a detached-meristem model as the cellular basis of lateral shoot initiation. In this model, a small number of undifferentiated cells are sampled from the periphery of the shoot apical meristem (SAM) to act as precursors for axillary buds, which eventually develop into new shoots. Repeated branching thus creates cellular bottlenecks (i.e. somatic drift) that affect how de novo (epi)genetic mutations propagate through the plant body during development. Somatic drift could be particularly relevant for stochastic DNA methylation gains and losses (i.e. spontaneous epimutations), as they have been shown to arise rapidly with each cell division. Here, we formalize a special case of the detached-meristem model, where precursor cells are randomly sampled from the SAM periphery in a way that maximizes cell lineage independence. We show that somatic drift during repeated branching gives rise to a mixture of cellular phylogenies within the SAM over time. This process is dependent on the number of branch points, the strength of drift as well as the epimutation rate. Our model predicts that cell-to-cell DNA methylation heterogeneity in the SAM converges to nonzero states during development, suggesting that epigenetic variation is an inherent property of the SAM cell population. Our insights have direct implications for empirical studies of somatic (epi)genomic diversity in long-lived perennial and clonal species using bulk or single-cell sequencing approaches.
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Affiliation(s)
- Yifan Chen
- Department of Mathematics, Technical University of Munich, Garching 85748, Germany
- Department of Molecular Life Sciences, Plant Epigenomics, Technical University of Munich, Freising 85354, Germany
| | - Agata Burian
- Institute of Biology, Biotechnology and Environmental Protection, University of Silesia in Katowice, Katowice 40-032, Poland
| | - Frank Johannes
- Department of Molecular Life Sciences, Plant Epigenomics, Technical University of Munich, Freising 85354, Germany
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8
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Goel M, Campoy JA, Krause K, Baus LC, Sahu A, Sun H, Walkemeier B, Marek M, Beaudry R, Ruiz D, Huettel B, Schneeberger K. The vast majority of somatic mutations in plants are layer-specific. Genome Biol 2024; 25:194. [PMID: 39049052 PMCID: PMC11267851 DOI: 10.1186/s13059-024-03337-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Accepted: 07/15/2024] [Indexed: 07/27/2024] Open
Abstract
BACKGROUND Plant meristems are structured organs consisting of distinct layers of stem cells, which differentiate into new plant tissue. Mutations in meristematic layers can propagate into large sectors of the plant. However, the characteristics of meristematic mutations remain unclear, limiting our understanding of the genetic basis of somaclonal phenotypic variation. RESULTS Here, we analyse the frequency and distribution of somatic mutations in an apricot tree. We separately sequence the epidermis (developing from meristem layer 1) and the flesh (developing from meristem layer 2) of several fruits sampled across the entire tree. We find that most somatic mutations (> 90%) are specific to individual layers. Interestingly, layer 1 shows a higher mutation load than layer 2, implying different mutational dynamics between the layers. The distribution of somatic mutations follows the branching of the tree. This suggests that somatic mutations are propagated to developing branches through axillary meristems. In turn, this leads us to the unexpected observation that the genomes of layer 1 of distant branches are more similar to each other than to the genomes of layer 2 of the same branches. Finally, using single-cell RNA sequencing, we demonstrate that layer-specific mutations were only transcribed in the cells of the respective layers and can form the genetic basis of somaclonal phenotypic variation. CONCLUSIONS Here, we analyse the frequency and distribution of somatic mutations with meristematic origin. Our observations on the layer specificity of somatic mutations outline how they are distributed, how they propagate, and how they can impact clonally propagated crops.
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Affiliation(s)
- Manish Goel
- Faculty of Biology, LMU Munich, Planegg-Martinsried, Germany
- Department of Chromosome Biology, Max Planck Institute for Plant Breeding Research, Cologne, Germany
| | - José A Campoy
- Department of Chromosome Biology, Max Planck Institute for Plant Breeding Research, Cologne, Germany
- Department of Pomology, Estación Experimental de Aula Dei (EEAD), CSIC, Saragossa, 50059, Spain
| | - Kristin Krause
- Department of Chromosome Biology, Max Planck Institute for Plant Breeding Research, Cologne, Germany
- Present address: Illumina Solutions Center Berlin, Berlin, Germany
| | - Lisa C Baus
- Faculty of Biology, LMU Munich, Planegg-Martinsried, Germany
- Department of Chromosome Biology, Max Planck Institute for Plant Breeding Research, Cologne, Germany
| | - Anshupa Sahu
- Institute for Medical Biometry, Informatics and Epidemiology, University Hospital Bonn, Bonn, Germany
- Institute for Genomic Statistics and Bioinformatics, University Hospital Bonn, Bonn, Germany
| | - Hequan Sun
- Department of Chromosome Biology, Max Planck Institute for Plant Breeding Research, Cologne, Germany
- Present address: Faculty of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an, 710049, China
| | - Birgit Walkemeier
- Department of Chromosome Biology, Max Planck Institute for Plant Breeding Research, Cologne, Germany
| | | | - Randy Beaudry
- Department of Horticulture, Michigan State University, East Lansing, MI, 48824, USA
| | - David Ruiz
- Department of Plant Breeding, CEBAS-CSIC, P.O. Box 164, Espinardo, Murcia, 30100, Spain
| | | | - Korbinian Schneeberger
- Faculty of Biology, LMU Munich, Planegg-Martinsried, Germany.
- Department of Chromosome Biology, Max Planck Institute for Plant Breeding Research, Cologne, Germany.
- CEPLAS (Cluster of Excellence On Plant Sciences), Heinrich-Heine University, Düsseldorf, Germany.
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9
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Baduel P, Sammarco I, Barrett R, Coronado‐Zamora M, Crespel A, Díez‐Rodríguez B, Fox J, Galanti D, González J, Jueterbock A, Wootton E, Harney E. The evolutionary consequences of interactions between the epigenome, the genome and the environment. Evol Appl 2024; 17:e13730. [PMID: 39050763 PMCID: PMC11266121 DOI: 10.1111/eva.13730] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Revised: 03/30/2024] [Accepted: 05/22/2024] [Indexed: 07/27/2024] Open
Abstract
The epigenome is the suite of interacting chemical marks and molecules that helps to shape patterns of development, phenotypic plasticity and gene regulation, in part due to its responsiveness to environmental stimuli. There is increasing interest in understanding the functional and evolutionary importance of this sensitivity under ecologically realistic conditions. Observations that epigenetic variation abounds in natural populations have prompted speculation that it may facilitate evolutionary responses to rapid environmental perturbations, such as those occurring under climate change. A frequent point of contention is whether epigenetic variants reflect genetic variation or are independent of it. The genome and epigenome often appear tightly linked and interdependent. While many epigenetic changes are genetically determined, the converse is also true, with DNA sequence changes influenced by the presence of epigenetic marks. Understanding how the epigenome, genome and environment interact with one another is therefore an essential step in explaining the broader evolutionary consequences of epigenomic variation. Drawing on results from experimental and comparative studies carried out in diverse plant and animal species, we synthesize our current understanding of how these factors interact to shape phenotypic variation in natural populations, with a focus on identifying similarities and differences between taxonomic groups. We describe the main components of the epigenome and how they vary within and between taxa. We review how variation in the epigenome interacts with genetic features and environmental determinants, with a focus on the role of transposable elements (TEs) in integrating the epigenome, genome and environment. And we look at recent studies investigating the functional and evolutionary consequences of these interactions. Although epigenetic differentiation in nature is likely often a result of drift or selection on stochastic epimutations, there is growing evidence that a significant fraction of it can be stably inherited and could therefore contribute to evolution independently of genetic change.
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Affiliation(s)
- Pierre Baduel
- Institut de Biologie de l'Ecole Normale SupérieurePSL University, CNRSParisFrance
| | - Iris Sammarco
- Institute of Botany of the Czech Academy of SciencesPrůhoniceCzechia
| | - Rowan Barrett
- Redpath Museum and Department of BiologyMcGill UniversityMontrealCanada
| | | | | | | | - Janay Fox
- Redpath Museum and Department of BiologyMcGill UniversityMontrealCanada
| | - Dario Galanti
- Institute of Evolution and Ecology (EvE)University of TuebingenTübingenGermany
| | | | - Alexander Jueterbock
- Algal and Microbial Biotechnology Division, Faculty of Biosciences and AquacultureNord UniversityBodøNorway
| | - Eric Wootton
- Redpath Museum and Department of BiologyMcGill UniversityMontrealCanada
| | - Ewan Harney
- Institute of Evolutionary BiologyCSIC, UPFBarcelonaSpain
- School of BiosciencesUniversity of SheffieldSheffieldUK
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10
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Wang L. A clock for clonal organisms. Nat Ecol Evol 2024; 8:1212-1213. [PMID: 38858514 DOI: 10.1038/s41559-024-02418-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/12/2024]
Affiliation(s)
- Long Wang
- State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing, China.
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11
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Briffa A, Menon G, Movilla Miangolarra A, Howard M. Dissecting Mechanisms of Epigenetic Memory Through Computational Modeling. ANNUAL REVIEW OF PLANT BIOLOGY 2024; 75:265-290. [PMID: 38424070 DOI: 10.1146/annurev-arplant-070523-041445] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/02/2024]
Abstract
Understanding the mechanistic basis of epigenetic memory has proven to be a difficult task due to the underlying complexity of the systems involved in its establishment and maintenance. Here, we review the role of computational modeling in helping to unlock this complexity, allowing the dissection of intricate feedback dynamics. We focus on three forms of epigenetic memory encoded in gene regulatory networks, DNA methylation, and histone modifications and discuss the important advantages offered by plant systems in their dissection. We summarize the main modeling approaches involved and highlight the principal conceptual advances that the modeling has enabled through iterative cycles of predictive modeling and experiments. Lastly, we discuss remaining gaps in our understanding and how intertwined theory and experimental approaches might help in their resolution.
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Affiliation(s)
- Amy Briffa
- Department of Computational and Systems Biology, John Innes Centre, Norwich Research Park, Norwich, United Kingdom;
- Epigenetics Programme, Babraham Institute, Cambridge, United Kingdom
| | - Govind Menon
- Department of Computational and Systems Biology, John Innes Centre, Norwich Research Park, Norwich, United Kingdom;
| | - Ander Movilla Miangolarra
- Department of Computational and Systems Biology, John Innes Centre, Norwich Research Park, Norwich, United Kingdom;
| | - Martin Howard
- Department of Computational and Systems Biology, John Innes Centre, Norwich Research Park, Norwich, United Kingdom;
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12
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Yu L, Renton J, Burian A, Khachaturyan M, Bayer T, Kotta J, Stachowicz JJ, DuBois K, Baums IB, Werner B, Reusch TBH. A somatic genetic clock for clonal species. Nat Ecol Evol 2024; 8:1327-1336. [PMID: 38858515 PMCID: PMC11239492 DOI: 10.1038/s41559-024-02439-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Accepted: 05/07/2024] [Indexed: 06/12/2024]
Abstract
Age and longevity are key parameters for demography and life-history evolution of organisms. In clonal species, a widespread life history among animals, plants, macroalgae and fungi, the sexually produced offspring (genet) grows indeterminately by producing iterative modules, or ramets, and so obscure their age. Here we present a novel molecular clock based on the accumulation of fixed somatic genetic variation that segregates among ramets. Using a stochastic model, we demonstrate that the accumulation of fixed somatic genetic variation will approach linearity after a lag phase, and is determined by the mitotic mutation rate, without direct dependence on asexual generation time. The lag phase decreased with lower stem cell population size, number of founder cells for the formation of new modules, and the ratio of symmetric versus asymmetric cell divisions. We calibrated the somatic genetic clock on cultivated eelgrass Zostera marina genets (4 and 17 years respectively). In a global data set of 20 eelgrass populations, genet ages were up to 1,403 years. The somatic genetic clock is applicable to any multicellular clonal species where the number of founder cells is small, opening novel research avenues to study longevity and, hence, demography and population dynamics of clonal species.
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Affiliation(s)
- Lei Yu
- GEOMAR Helmholtz-Center for Ocean Research Kiel, Marine Evolutionary Ecology, Kiel, Germany
| | - Jessie Renton
- Evolutionary Dynamics Group, Centre for Cancer Genomics and Computational Biology, Barts Cancer Institute, Queen Mary University of London, London, UK
| | - Agata Burian
- Institute of Biology, Biotechnology and Environmental Protection, University of Silesia in Katowice, Katowice, Poland
| | - Marina Khachaturyan
- GEOMAR Helmholtz-Center for Ocean Research Kiel, Marine Evolutionary Ecology, Kiel, Germany
- Institute of General Microbiology, Kiel University, Kiel, Germany
| | - Till Bayer
- GEOMAR Helmholtz-Center for Ocean Research Kiel, Marine Evolutionary Ecology, Kiel, Germany
| | - Jonne Kotta
- Estonian Marine Institute, University of Tartu, Tallinn, Estonia
| | - John J Stachowicz
- Department of Evolution and Ecology, University of California, Davis, CA, USA
| | - Katherine DuBois
- Department of Evolution and Ecology, University of California, Davis, CA, USA
| | - Iliana B Baums
- Helmholtz Institute for Functional Marine Biodiversity, University of Oldenburg, Oldenburg, Germany
- Alfred Wegener Institute, Helmholtz-Centre for Polar and Marine Research (AWI), Bremerhaven, Germany
- Institute for Chemistry and Biology of the Marine Environment (ICBM), School of Mathematics and Science, Carl von Ossietzky Universität Oldenburg, Oldenburg, Germany
| | - Benjamin Werner
- Evolutionary Dynamics Group, Centre for Cancer Genomics and Computational Biology, Barts Cancer Institute, Queen Mary University of London, London, UK.
| | - Thorsten B H Reusch
- GEOMAR Helmholtz-Center for Ocean Research Kiel, Marine Evolutionary Ecology, Kiel, Germany.
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13
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Rodriguez-Izquierdo A, Carrasco D, Anand L, Magnani R, Catarecha P, Arroyo-Garcia R, Rodriguez Lopez CM. Epigenetic differences between wild and cultivated grapevines highlight the contribution of DNA methylation during crop domestication. BMC PLANT BIOLOGY 2024; 24:504. [PMID: 38840239 PMCID: PMC11155169 DOI: 10.1186/s12870-024-05197-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Accepted: 05/24/2024] [Indexed: 06/07/2024]
Abstract
The domestication process in grapevines has facilitated the fixation of desired traits. Nowadays, vegetative propagation through cuttings enables easier preservation of these genotypes compared to sexual reproduction. Nonetheless, even with vegetative propagation, various phenotypes are often present within the same vineyard due to the accumulation of somatic mutations. These mutations are not the sole factors influencing phenotype. Alongside somatic variations, epigenetic variation has been proposed as a pivotal player in regulating phenotypic variability acquired during domestication. The emergence of these epialleles might have significantly influenced grapevine domestication over time. This study aims to investigate the impact of domestication on methylation patterns in cultivated grapevines. Reduced-representation bisulfite sequencing was conducted on 18 cultivated and wild accessions. Results revealed that cultivated grapevines exhibited higher methylation levels than their wild counterparts. Differential Methylation Analysis between wild and cultivated grapevines identified a total of 9955 differentially methylated cytosines, of which 78% were hypermethylated in cultivated grapevines. Functional analysis shows that core methylated genes (consistently methylated in both wild and cultivated accessions) are associated with stress response and terpenoid/isoprenoid metabolic processes. Meanwhile, genes with differential methylation are linked to protein targeting to the peroxisome, ethylene regulation, histone modifications, and defense response. Collectively, our results highlight the significant roles that epialleles may have played throughout the domestication history of grapevines.
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Affiliation(s)
- Alberto Rodriguez-Izquierdo
- Centro de Biotecnología y Genómica de Plantas (CBGP-INIA), CSIC - Universidad Politécnica de Madrid, Campus Montegancedo, Madrid, Spain
| | - David Carrasco
- Centro de Biotecnología y Genómica de Plantas (CBGP-INIA), CSIC - Universidad Politécnica de Madrid, Campus Montegancedo, Madrid, Spain
| | - Lakshay Anand
- Environmental Epigenetics and Genetics Group (EEGG), Department of Horticulture, College of Agriculture, Food and environment, University of Kentucky, Lexington, KY, USA
| | - Roberta Magnani
- Environmental Epigenetics and Genetics Group (EEGG), Department of Horticulture, College of Agriculture, Food and environment, University of Kentucky, Lexington, KY, USA
| | - Pablo Catarecha
- Centro de Biotecnología y Genómica de Plantas (CBGP-INIA), CSIC - Universidad Politécnica de Madrid, Campus Montegancedo, Madrid, Spain
| | - Rosa Arroyo-Garcia
- Centro de Biotecnología y Genómica de Plantas (CBGP-INIA), CSIC - Universidad Politécnica de Madrid, Campus Montegancedo, Madrid, Spain.
| | - Carlos M Rodriguez Lopez
- Environmental Epigenetics and Genetics Group (EEGG), Department of Horticulture, College of Agriculture, Food and environment, University of Kentucky, Lexington, KY, USA.
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14
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Schmid MW, Moradi A, Leigh DM, Schuman MC, van Moorsel SJ. Covering the bases: Population genomic structure of Lemna minor and the cryptic species L. japonica in Switzerland. Ecol Evol 2024; 14:e11599. [PMID: 38882534 PMCID: PMC11178436 DOI: 10.1002/ece3.11599] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2024] [Revised: 05/27/2024] [Accepted: 06/03/2024] [Indexed: 06/18/2024] Open
Abstract
Duckweeds, including the common duckweed Lemna minor, are increasingly used to test eco-evolutionary theories. Yet, despite its popularity and near-global distribution, the understanding of its population structure (and genetic variation therein) is still limited. It is essential that this is resolved, because of the impact genetic diversity has on experimental responses and scientific understanding. Through whole-genome sequencing, we assessed the genetic diversity and population genomic structure of 23 natural Lemna spp. populations from their natural range in Switzerland. We used two distinct analytical approaches, a reference-free kmer approach and the classical reference-based one. Two genetic clusters were identified across the described species distribution of L. minor, surprisingly corresponding to species-level divisions. The first cluster contained the targeted L. minor individuals and the second contained individuals from a cryptic species: Lemna japonica. Within the L. minor cluster, we identified a well-defined population structure with little intra-population genetic diversity (i.e., within ponds) but high inter-population diversity (i.e., between ponds). In L. japonica, the population structure was significantly weaker and genetic variation between a subset of populations was as low as within populations. This study revealed that L. japonica is more widespread than previously thought. Our findings signify that thorough genotype-to-phenotype analyses are needed in duckweed experimental ecology and evolution.
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Affiliation(s)
| | - Aboubakr Moradi
- Department of Geography University of Zurich Zurich Switzerland
- Department of Chemistry University of Zurich Zurich Switzerland
| | - Deborah M Leigh
- Swiss Federal Research Institute WSL Birmensdorf Switzerland
| | - Meredith C Schuman
- Department of Geography University of Zurich Zurich Switzerland
- Department of Chemistry University of Zurich Zurich Switzerland
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15
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Daware A, Mohanty JK, Narnoliya L, Singh A, Rathore D, Thakro V, Francis A, Singh NP, Francis P, Tripathi S, Chattopadhyay D, Parida SK. Uncovering DNA methylation landscapes to decipher evolutionary footprints of phenotypic diversity in chickpea. DNA Res 2024; 31:dsae013. [PMID: 38702947 PMCID: PMC11149376 DOI: 10.1093/dnares/dsae013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2024] [Accepted: 05/02/2024] [Indexed: 05/06/2024] Open
Abstract
Genetic diversity and environmental factors are long believed to be the dominant contributors to phenotypic diversity in crop plants. However, it has been recently established that, besides genetic variation, epigenetic variation, especially variation in DNA methylation, plays a significant role in determining phenotypic diversity in crop plants. Therefore, assessing DNA methylation diversity in crop plants becomes vital, especially in the case of crops like chickpea, which has a narrow genetic base. Thus, in the present study, we employed whole-genome bisulfite sequencing to assess DNA methylation diversity in wild and cultivated (desi and kabuli) chickpea. This revealed extensive DNA methylation diversity in both wild and cultivated chickpea. Interestingly, the methylation diversity was found to be significantly higher than genetic diversity, suggesting its potential role in providing vital phenotypic diversity for the evolution and domestication of the Cicer gene pool. The phylogeny based on DNA methylation variation also indicates a potential complementary role of DNA methylation variation in addition to DNA sequence variation in shaping chickpea evolution. Besides, the study also identified diverse epi-alleles of many previously known genes of agronomic importance. The Cicer MethVarMap database developed in this study enables researchers to readily visualize methylation variation within the genes and genomic regions of their interest (http://223.31.159.7/cicer/public/). Therefore, epigenetic variation like DNA methylation variation can potentially explain the paradox of high phenotypic diversity despite the narrow genetic base in chickpea and can potentially be employed for crop improvement.
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Affiliation(s)
- Anurag Daware
- National Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg, New Delhi 110067, India
| | - Jitendra K Mohanty
- National Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg, New Delhi 110067, India
| | - Laxmi Narnoliya
- National Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg, New Delhi 110067, India
| | - Akansha Singh
- National Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg, New Delhi 110067, India
| | - Deepanshi Rathore
- National Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg, New Delhi 110067, India
| | - Virevol Thakro
- National Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg, New Delhi 110067, India
| | - Aleena Francis
- National Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg, New Delhi 110067, India
| | - Nagendra Pratap Singh
- National Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg, New Delhi 110067, India
| | - Philip Francis
- National Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg, New Delhi 110067, India
| | - Shailesh Tripathi
- Indian Institute of Pulses Research (IIPR), Uttar Pradesh, Kanpur 208024, India
| | - Debasis Chattopadhyay
- National Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg, New Delhi 110067, India
| | - Swarup K Parida
- National Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg, New Delhi 110067, India
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16
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Usai G, Fambrini M, Pugliesi C, Simoni S. Exploring the patterns of evolution: Core thoughts and focus on the saltational model. Biosystems 2024; 238:105181. [PMID: 38479653 DOI: 10.1016/j.biosystems.2024.105181] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Revised: 02/29/2024] [Accepted: 03/08/2024] [Indexed: 03/18/2024]
Abstract
The Modern Synthesis, a pillar in biological thought, united Darwin's species origin concepts with Mendel's laws of character heredity, providing a comprehensive understanding of evolution within species. Highlighting phenotypic variation and natural selection, it elucidated the environment's role as a selective force, shaping populations over time. This framework integrated additional mechanisms, including genetic drift, random mutations, and gene flow, predicting their cumulative effects on microevolution and the emergence of new species. Beyond the Modern Synthesis, the Extended Evolutionary Synthesis expands perspectives by recognizing the role of developmental plasticity, non-genetic inheritance, and epigenetics. We suggest that these aspects coexist in the plant evolutionary process; in this context, we focus on the saltational model, emphasizing how saltation events, such as dichotomous saltation, chromosomal mutations, epigenetic phenomena, and polyploidy, contribute to rapid evolutionary changes. The saltational model proposes that certain evolutionary changes, such as the rise of new species, may result suddenly from single macromutations rather than from gradual changes in DNA sequences and allele frequencies within a species over time. These events, observed in domesticated and wild higher plants, provide well-defined mechanistic bases, revealing their profound impact on plant diversity and rapid evolutionary events. Notably, next-generation sequencing exposes the likely crucial role of allopolyploidy and autopolyploidy (saltational events) in generating new plant species, each characterized by distinct chromosomal complements. In conclusion, through this review, we offer a thorough exploration of the ongoing dissertation on the saltational model, elucidating its implications for our understanding of plant evolutionary processes and paving the way for continued research in this intriguing field.
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Affiliation(s)
- Gabriele Usai
- Department of Agriculture, Food and Environment (DAFE), University of Pisa, Via del Borghetto 80, 56124, Pisa, Italy
| | - Marco Fambrini
- Department of Agriculture, Food and Environment (DAFE), University of Pisa, Via del Borghetto 80, 56124, Pisa, Italy
| | - Claudio Pugliesi
- Department of Agriculture, Food and Environment (DAFE), University of Pisa, Via del Borghetto 80, 56124, Pisa, Italy.
| | - Samuel Simoni
- Department of Agriculture, Food and Environment (DAFE), University of Pisa, Via del Borghetto 80, 56124, Pisa, Italy
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17
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Liu J, Zhong X. Population epigenetics: DNA methylation in the plant omics era. PLANT PHYSIOLOGY 2024; 194:2039-2048. [PMID: 38366882 PMCID: PMC10980424 DOI: 10.1093/plphys/kiae089] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Revised: 01/22/2024] [Accepted: 01/22/2024] [Indexed: 02/18/2024]
Abstract
DNA methylation plays an important role in many biological processes. The mechanisms underlying the establishment and maintenance of DNA methylation are well understood thanks to decades of research using DNA methylation mutants, primarily in Arabidopsis (Arabidopsis thaliana) accession Col-0. Recent genome-wide association studies (GWASs) using the methylomes of natural accessions have uncovered a complex and distinct genetic basis of variation in DNA methylation at the population level. Sequencing following bisulfite treatment has served as an excellent method for quantifying DNA methylation. Unlike studies focusing on specific accessions with reference genomes, population-scale methylome research often requires an additional round of sequencing beyond obtaining genome assemblies or genetic variations from whole-genome sequencing data, which can be cost prohibitive. Here, we provide an overview of recently developed bisulfite-free methods for quantifying methylation and cost-effective approaches for the simultaneous detection of genetic and epigenetic information. We also discuss the plasticity of DNA methylation in a specific Arabidopsis accession, the contribution of DNA methylation to plant adaptation, and the genetic determinants of variation in DNA methylation in natural populations. The recently developed technology and knowledge will greatly benefit future studies in population epigenomes.
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Affiliation(s)
- Jie Liu
- Department of Biology, Washington University in St. Louis, St. Louis, MO 63130, USA
| | - Xuehua Zhong
- Department of Biology, Washington University in St. Louis, St. Louis, MO 63130, USA
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18
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Vanden Broeck A, Meese T, Verschelde P, Cox K, Heinze B, Deforce D, De Meester E, Van Nieuwerburgh F. Genome-wide methylome stability and parental effects in the worldwide distributed Lombardy poplar. BMC Biol 2024; 22:30. [PMID: 38317114 PMCID: PMC10845628 DOI: 10.1186/s12915-024-01816-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Accepted: 01/04/2024] [Indexed: 02/07/2024] Open
Abstract
BACKGROUND Despite the increasing number of epigenomic studies in plants, little is known about the forces that shape the methylome in long-lived woody perennials. The Lombardy poplar offers an ideal opportunity to investigate the impact of the individual environmental history of trees on the methylome. RESULTS We present the results of three interconnected experiments on Lombardy poplar. In the first experiment, we investigated methylome variability during a growing season and across vegetatively reproduced generations. We found that ramets collected over Europe and raised in common conditions have stable methylomes in symmetrical CG-contexts. In contrast, seasonal dynamics occurred in methylation patterns in CHH context. In the second experiment, we investigated whether methylome patterns of plants grown in a non-parental environment correlate with the parental climate. We did not observe a biological relevant pattern that significantly correlates with the parental climate. Finally, we investigated whether the parental environment has persistent carry-over effects on the vegetative offspring's phenotype. We combined new bud set observations of three consecutive growing seasons with former published bud set data. Using a linear mixed effects analysis, we found a statistically significant but weak short-term, parental carry-over effect on the timing of bud set. However, this effect was negligible compared to the direct effects of the offspring environment. CONCLUSIONS Genome-wide cytosine methylation patterns in symmetrical CG-context are stable in Lombardy poplar and appear to be mainly the result of random processes. In this widespread poplar clone, methylation patterns in CG-context can be used as biomarkers to infer a common ancestor and thus to investigate the recent environmental history of a specific Lombardy poplar. The Lombardy poplar shows high phenotypic plasticity in a novel environment which enabled this clonal tree to adapt and survive all over the temperate regions of the world.
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Affiliation(s)
- An Vanden Broeck
- Research Institute for Nature and Forest (INBO), Geraardsbergen, Belgium.
| | - Tim Meese
- Laboratory of Pharmaceutical Biotechnology, Ghent University, Ghent, Belgium
| | - Pieter Verschelde
- Research Institute for Nature and Forest (INBO), Geraardsbergen, Belgium
| | - Karen Cox
- Research Institute for Nature and Forest (INBO), Geraardsbergen, Belgium
| | - Berthold Heinze
- Department of Forest Growth, Silviculture and Genetics, Austrian Federal Research Centre for Forests (BFW), Vienna, Austria
| | - Dieter Deforce
- Laboratory of Pharmaceutical Biotechnology, Ghent University, Ghent, Belgium
| | - Ellen De Meester
- Laboratory of Pharmaceutical Biotechnology, Ghent University, Ghent, Belgium
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19
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Valverde J, Medrano M, Herrera CM, Alonso C. Comparative epigenetic and genetic spatial structure in Mediterranean mountain plants: a multispecies study. Heredity (Edinb) 2024; 132:106-116. [PMID: 38233486 PMCID: PMC10844209 DOI: 10.1038/s41437-024-00668-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Revised: 12/26/2023] [Accepted: 01/03/2024] [Indexed: 01/19/2024] Open
Abstract
Changes in epigenetic states can allow individuals to cope with environmental changes. If such changes are heritable, this may lead to epigenetic adaptation. Thus, it is likely that in sessile organisms such as plants, part of the spatial epigenetic variation found across individuals will reflect the environmental heterogeneity within populations. The departure of the spatial epigenetic structure from the baseline genetic variation can help in understanding the value of epigenetic regulation in species with different breadth of optimal environmental requirements. Here, we hypothesise that in plants with narrow environmental requirements, epigenetic variability should be less structured in space given the lower variability in suitable environmental conditions. We performed a multispecies study that considered seven pairs of congeneric plant species, each encompassing a narrow endemic with habitat specialisation and a widespread species. In three populations per species we used AFLP and methylation-sensitive AFLP markers to characterise the spatial genetic and epigenetic structures. Narrow endemics showed a significantly lower epigenetic than genetic differentiation between populations. Within populations, epigenetic variation was less spatially structured than genetic variation, mainly in narrow endemics. In these species, structural equation models revealed that such pattern was associated to a lack of correlation between epigenetic and genetic information. Altogether, these results show a greater decoupling of the spatial epigenetic variation from the baseline spatial genetic pattern in endemic species. These findings highlight the value of studying genetic and epigenetic spatial variation to better understand habitat specialisation in plants.
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Affiliation(s)
- Javier Valverde
- Estación Biológica de Doñana, Consejo Superior de Investigaciones Científicas (CSIC), Sevilla, Spain.
- Departamento de Biología Vegetal y Ecología, Universidad de Sevilla, Sevilla, Spain.
| | - Mónica Medrano
- Estación Biológica de Doñana, Consejo Superior de Investigaciones Científicas (CSIC), Sevilla, Spain
| | - Carlos M Herrera
- Estación Biológica de Doñana, Consejo Superior de Investigaciones Científicas (CSIC), Sevilla, Spain
| | - Conchita Alonso
- Estación Biológica de Doñana, Consejo Superior de Investigaciones Científicas (CSIC), Sevilla, Spain.
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