The methylome is altered for plants in a high CO2 world: Insights into the response of a wild plant population to multigenerational exposure to elevated atmospheric [CO2]

Unravelling plant responses to rising atmospheric CO2 concentration ([CO2]) has largely focussed on plastic functional attributes to single generation [CO2] exposure. Quantifying the consequences of long‐term, decadal multigenerational exposure to elevated [CO2] and the genetic changes that may underpin evolutionary mechanisms with [CO2] as a driver remain largely unexplored. Here, we investigated both plastic and evolutionary plant responses to elevated [CO2] by applying multi‐omic technologies using populations of Plantago lanceolata L., grown in naturally high [CO2] for many generations in a CO2 spring. Seed from populations at the CO2 spring and an adjacent control site (ambient [CO2]) were grown in a common environment for one generation, and then offspring were grown in ambient or elevated [CO2] growth chambers. Low overall genetic differentiation between the CO2 spring and control site populations was found, with evidence of weak selection in exons. We identified evolutionary divergence in the DNA methylation profiles of populations derived from the spring relative to the control population, providing the first evidence that plant methylomes may respond to elevated [CO2] over multiple generations. In contrast, growth at elevated [CO2] for a single generation induced limited methylome remodelling (an order of magnitude fewer differential methylation events than observed between populations), although some of this appeared to be stably transgenerationally inherited. In all, 59 regions of the genome were identified where transcripts exhibiting differential expression (associated with single generation or long‐term natural exposure to elevated [CO2]) co‐located with sites of differential methylation or with single nucleotide polymorphisms exhibiting significant inter‐population divergence. This included genes in pathways known to respond to elevated [CO2], such as nitrogen use efficiency and stomatal patterning. This study provides the first indication that DNA methylation may contribute to plant adaptation to future atmospheric [CO2] and identifies several areas of the genome that are targets for future study.

[1]  O. Paun,et al.  Current research frontiers in plant epigenetics: an introduction to a Virtual Issue , 2020, The New phytologist.

[2]  A. Iqbal,et al.  Untangling the molecular mechanisms and functions of nitrate for improving nitrogen use efficiency. , 2020, Journal of the science of food and agriculture.

[3]  L. Ziska,et al.  Rising Atmospheric CO2 Lowers Concentrations of Plant Carotenoids Essential to Human Health: Meta-analysis. , 2019, Molecular nutrition & food research.

[4]  Mary Gehring Epigenetic dynamics during flowering plant reproduction: evidence for reprogramming? , 2019, The New phytologist.

[5]  G. Taylor,et al.  FACE facts hold for multiple generations; Evidence from natural CO2 springs , 2018, Global change biology.

[6]  Chi Zhang,et al.  PopLDdecay: a fast and effective tool for linkage disequilibrium decay analysis based on variant call format files , 2018, Bioinform..

[7]  O. Bossdorf,et al.  Structure, stability and ecological significance of natural epigenetic variation: a large-scale survey in Plantago lanceolata. , 2018, The New phytologist.

[8]  S. Sultan,et al.  Context-Dependent Developmental Effects of Parental Shade Versus Sun Are Mediated by DNA Methylation , 2018, Front. Plant Sci..

[9]  A. Makino,et al.  New insights into the cellular mechanisms of plant growth at elevated atmospheric carbon dioxide concentrations. , 2018, Plant, cell & environment.

[10]  P. Zalar,et al.  Occultifur mephitis f.a., sp. nov. and other yeast species from hypoxic and elevated CO2 mofette environments. , 2018, International journal of systematic and evolutionary microbiology.

[11]  D. W. Markman,et al.  Ecoevolutionary Dynamics of Carbon Cycling in the Anthropocene. , 2018, Trends in ecology & evolution.

[12]  Ibtisam Al-Harrasi,et al.  Genome-wide DNA Methylation analysis in response to salinity in the model plant caliph medic (Medicago truncatula) , 2018, BMC Genomics.

[13]  L. Freschi,et al.  Recurrent water deficit causes epigenetic and hormonal changes in citrus plants , 2017, Scientific Reports.

[14]  Peter A. Crisp,et al.  The Arabidopsis DNA Methylome Is Stable under Transgenerational Drought Stress1[OPEN] , 2017, Plant Physiology.

[15]  J. Lämke,et al.  Epigenetic and chromatin-based mechanisms in environmental stress adaptation and stress memory in plants , 2017, Genome Biology.

[16]  Axel Fischer,et al.  GeSeq – versatile and accurate annotation of organelle genomes , 2017, Nucleic Acids Res..

[17]  Xiaofeng Cao,et al.  Context and Complexity: Analyzing Methylation in Trinucleotide Sequences. , 2017, Trends in plant science.

[18]  G. Bonan,et al.  Stomatal Function across Temporal and Spatial Scales: Deep-Time Trends, Land-Atmosphere Coupling and Global Models1[OPEN] , 2017, Plant Physiology.

[19]  Sonja J. Prohaska,et al.  Ecological plant epigenetics: Evidence from model and non-model species, and the way forward , 2017, bioRxiv.

[20]  W. Ye,et al.  Single-base resolution methylomes of upland cotton (Gossypium hirsutum L.) reveal epigenome modifications in response to drought stress , 2017, BMC Genomics.

[21]  D. Zivkovic,et al.  Methylome evolution in plants , 2016, Genome Biology.

[22]  V. Colot,et al.  Plant Transgenerational Epigenetics. , 2016, Annual review of genetics.

[23]  Touati Benoukraf,et al.  Whole genome DNA methylation: beyond genes silencing , 2016, Oncotarget.

[24]  Patrick Mardulyn,et al.  NOVOPlasty: de novo assembly of organelle genomes from whole genome data. , 2016, Nucleic acids research.

[25]  R. Wing,et al.  DNA transposon activity is associated with increased mutation rates in genes of rice and other grasses , 2016, Nature Communications.

[26]  Richard J. Edwards,et al.  Plant adaptation or acclimation to rising CO2? Insight from first multigenerational RNA‐Seq transcriptome , 2016, Global change biology.

[27]  P. Reich,et al.  Adaptation to elevated CO2 in different biodiversity contexts , 2016, Nature Communications.

[28]  L. Luo,et al.  Adaptive Epigenetic Differentiation between Upland and Lowland Rice Ecotypes Revealed by Methylation-Sensitive Amplified Polymorphism , 2016, PloS one.

[29]  Robert J. Schmitz,et al.  Widespread natural variation of DNA methylation within angiosperms , 2016, Genome Biology.

[30]  Hao Wu,et al.  Differential methylation analysis for BS-seq data under general experimental design , 2016, Bioinform..

[31]  Guangsheng Zhou,et al.  Elevated-CO2 Response of Stomata and Its Dependence on Environmental Factors , 2016, Front. Plant Sci..

[32]  Sergio Alan Cervantes-Pérez,et al.  Phosphate starvation induces DNA methylation in the vicinity of cis-acting elements known to regulate the expression of phosphate–responsive genes , 2016, Plant signaling & behavior.

[33]  Philip N Benfey,et al.  Unique cell-type specific patterns of DNA methylation in the root meristem , 2016, Nature Plants.

[34]  Steven R. Eichten,et al.  DNA methylation profiles of diverse Brachypodium distachyon align with underlying genetic diversity , 2016, bioRxiv.

[35]  Diep Ganguly,et al.  Reconsidering plant memory: Intersections between stress recovery, RNA turnover, and epigenetics , 2016, Science Advances.

[36]  D. Siemens,et al.  Epigenetics of drought-induced trans-generational plasticity: consequences for range limit development , 2015, AoB PLANTS.

[37]  Robert D. Finn,et al.  The Pfam protein families database: towards a more sustainable future , 2015, Nucleic Acids Res..

[38]  Stuart A Casson,et al.  Elevated CO2-Induced Responses in Stomata Require ABA and ABA Signaling , 2015, Current Biology.

[39]  Mukesh Jain,et al.  Divergent DNA methylation patterns associated with gene expression in rice cultivars with contrasting drought and salinity stress response , 2015, Scientific Reports.

[40]  N. Ma,et al.  Low temperature-induced DNA hypermethylation attenuates expression of RhAG, an AGAMOUS homolog, and increases petal number in rose (Rosa hybrida) , 2015, BMC Plant Biology.

[41]  Evgeny M. Zdobnov,et al.  BUSCO: assessing genome assembly and annotation completeness with single-copy orthologs , 2015, Bioinform..

[42]  Fátima Sánchez-Cabo,et al.  GOplot: an R package for visually combining expression data with functional analysis , 2015, Bioinform..

[43]  Emily M. Strait,et al.  The arabidopsis information resource: Making and mining the “gold standard” annotated reference plant genome , 2015, Genesis.

[44]  Gunnar Rätsch,et al.  DNA methylation in Arabidopsis has a genetic basis and shows evidence of local adaptation , 2015, eLife.

[45]  M. Yandell,et al.  Genome Annotation and Curation Using MAKER and MAKER‐P , 2014, Current protocols in bioinformatics.

[46]  M. Hawkesford,et al.  Complex phylogeny and gene expression patterns of members of the NITRATE TRANSPORTER 1/PEPTIDE TRANSPORTER family (NPF) in wheat , 2014, Journal of experimental botany.

[47]  Robert J. Schmitz,et al.  Epigenetics: Beyond Chromatin Modifications and Complex Genetic Regulation1 , 2014, Plant Physiology.

[48]  A. Zanobetti,et al.  Increasing CO2 threatens human nutrition , 2014, Nature.

[49]  Björn Usadel,et al.  Trimmomatic: a flexible trimmer for Illumina sequence data , 2014, Bioinform..

[50]  R. Martienssen,et al.  Transgenerational Epigenetic Inheritance: Myths and Mechanisms , 2014, Cell.

[51]  K. Rice,et al.  Contemporary evolution of an invasive grass in response to elevated atmospheric CO2 at a Mojave Desert FACE site , 2014, Ecology letters.

[52]  Matthew Fraser,et al.  InterProScan 5: genome-scale protein function classification , 2014, Bioinform..

[53]  Mauricio O. Carneiro,et al.  From FastQ Data to High‐Confidence Variant Calls: The Genome Analysis Toolkit Best Practices Pipeline , 2013, Current protocols in bioinformatics.

[54]  Robert Gentleman,et al.  Software for Computing and Annotating Genomic Ranges , 2013, PLoS Comput. Biol..

[55]  Colin N. Dewey,et al.  De novo transcript sequence reconstruction from RNA-seq using the Trinity platform for reference generation and analysis , 2013, Nature Protocols.

[56]  Marc Lohse,et al.  OrganellarGenomeDRAW—a suite of tools for generating physical maps of plastid and mitochondrial genomes and visualizing expression data sets , 2013, Nucleic Acids Res..

[57]  Rikke Bagger Jørgensen,et al.  Response to multi-generational selection under elevated [CO2] in two temperature regimes suggests enhanced carbon assimilation and increased reproductive output in Brassica napus L. , 2013, Ecology and evolution.

[58]  Matthew D. Schultz,et al.  Patterns of Population Epigenomic Diversity , 2013, Nature.

[59]  Jian Wang,et al.  SOAPdenovo2: an empirically improved memory-efficient short-read de novo assembler , 2012, GigaScience.

[60]  Matthew D. Schultz,et al.  'Leveling' the playing field for analyses of single-base resolution DNA methylomes. , 2012, Trends in genetics : TIG.

[61]  Anushya Muruganujan,et al.  PANTHER in 2013: modeling the evolution of gene function, and other gene attributes, in the context of phylogenetic trees , 2012, Nucleic Acids Res..

[62]  Francine E. Garrett-Bakelman,et al.  methylKit: a comprehensive R package for the analysis of genome-wide DNA methylation profiles , 2012, Genome Biology.

[63]  B. Murray,et al.  Variable changes in genome size associated with different polyploid events in Plantago (Plantaginaceae). , 2012, The Journal of heredity.

[64]  L. Ziska,et al.  Plant Responses to Elevated CO2 , 2012 .

[65]  Steven L Salzberg,et al.  Fast gapped-read alignment with Bowtie 2 , 2012, Nature Methods.

[66]  Davis J. McCarthy,et al.  Differential expression analysis of multifactor RNA-Seq experiments with respect to biological variation , 2012, Nucleic acids research.

[67]  Gonçalo R. Abecasis,et al.  The variant call format and VCFtools , 2011, Bioinform..

[68]  Matthew R. Haworth,et al.  Stomatal control as a driver of plant evolution. , 2011, Journal of experimental botany.

[69]  Felix Krueger,et al.  Bismark: a flexible aligner and methylation caller for Bisulfite-Seq applications , 2011, Bioinform..

[70]  K. Hikosaka,et al.  Phenotypic and genetic differences in a perennial herb across a natural gradient of CO2 concentration , 2011, Oecologia.

[71]  D. Crowell,et al.  Identification of a Novel Abscisic Acid-Regulated Farnesol Dehydrogenase from Arabidopsis1[W][OA] , 2010, Plant Physiology.

[72]  J. J. Jansen,et al.  Stress-induced DNA methylation changes and their heritability in asexual dandelions. , 2010, The New phytologist.

[73]  David J. Beerling,et al.  Maximum leaf conductance driven by CO2 effects on stomatal size and density over geologic time , 2009, Proceedings of the National Academy of Sciences.

[74]  Steven J. M. Jones,et al.  Abyss: a Parallel Assembler for Short Read Sequence Data Material Supplemental Open Access , 2022 .

[75]  Jian-Kang Zhu,et al.  Epigenetic regulation of stress responses in plants. , 2009, Current opinion in plant biology.

[76]  O. Gaggiotti,et al.  A Genome-Scan Method to Identify Selected Loci Appropriate for Both Dominant and Codominant Markers: A Bayesian Perspective , 2008, Genetics.

[77]  Sofia M. C. Robb,et al.  MAKER: an easy-to-use annotation pipeline designed for emerging model organism genomes. , 2007, Genome research.

[78]  I. Henderson,et al.  Epigenetic inheritance in plants , 2007, Nature.

[79]  G. Taylor,et al.  Elucidating genomic regions determining enhanced leaf growth and delayed senescence in elevated CO2. , 2006, Plant, cell & environment.

[80]  D. Reich,et al.  Principal components analysis corrects for stratification in genome-wide association studies , 2006, Nature Genetics.

[81]  Hongwen Huang,et al.  Development and characterization of polymorphic microsatellite loci in endangered fern Adiantum reniforme var. sinense , 2006, Conservation Genetics.

[82]  J. Jurka,et al.  Repbase Update, a database of eukaryotic repetitive elements , 2005, Cytogenetic and Genome Research.

[83]  P. Gupta,et al.  Linkage disequilibrium and association studies in higher plants: Present status and future prospects , 2005, Plant Molecular Biology.

[84]  S. Long,et al.  What have we learned from 15 years of free-air CO2 enrichment (FACE)? A meta-analytic review of the responses of photosynthesis, canopy properties and plant production to rising CO2. , 2004, The New phytologist.

[85]  Ian Korf,et al.  Gene finding in novel genomes , 2004, BMC Bioinformatics.

[86]  C. N. Hewitt,et al.  Impact of rising CO2 on emissions of volatile organic compounds: isoprene emission from Phragmites australis growing at elevated CO2 in a natural carbon dioxide spring† , 2004 .

[87]  Hong Gil Nam,et al.  Stress memory in plants: a negative regulation of stomatal response and transient induction of rd22 gene to light in abscisic acid-entrained Arabidopsis plants. , 2003, The Plant journal : for cell and molecular biology.

[88]  Mario Stanke,et al.  Gene prediction with a hidden Markov model and a new intron submodel , 2003, ECCB.

[89]  F. Woodward,et al.  The role of stomata in sensing and driving environmental change , 2003, Nature.

[90]  Brad T. Sherman,et al.  DAVID: Database for Annotation, Visualization, and Integrated Discovery , 2003, Genome Biology.

[91]  R. Matyášek,et al.  Cytosine methylation of plastid genome in higher plants. Fact or artefact? , 2001, Plant science : an international journal of experimental plant biology.

[92]  P. Pearson,et al.  Atmospheric carbon dioxide concentrations over the past 60 million years , 2000, Nature.

[93]  J. Ward,et al.  Is atmospheric CO2 a selective agent on model C3 annuals? , 2000, Oecologia.

[94]  A. Raschi,et al.  The impact of elevated CO2 on growth and photosynthesis in Agrostis canina L. ssp. monteluccii adapted to contrasting atmospheric CO2 concentrations , 1997, Oecologia.

[95]  K. Shinozaki,et al.  Identification of a cis-regulatory region of a gene in Arabidopsis thaliana whose induction by dehydration is mediated by abscisic acid and requires protein synthesis , 1995, Molecular and General Genetics MGG.

[96]  R. Olmstead,et al.  Evidence for the polyphyly of the Scrophulariaceae based on Chloroplast rbcL and ndhF sequences , 1995 .

[97]  C. Körner,et al.  Long term effects of naturally elevated CO2 on mediterranean grassland and forest trees , 1994, Oecologia.

[98]  A. Raschi,et al.  Natural CO2 springs in Italy: a resource for examining long‐term response of vegetation to rising atmospheric CO2 concentrations , 1993 .

[99]  S. Kalisz,et al.  A LIFE‐HISTORY BASED STUDY OF POPULATION GENETIC STRUCTURE: SEED BANK TO ADULTS IN PLANTAGO LANCEOLATA , 1993, Evolution; international journal of organic evolution.

[100]  E. Myers,et al.  Basic local alignment search tool. , 1990, Journal of molecular biology.

[101]  K. Wolff,et al.  Genetic variability in Plantago species in relation to their ecology , 1988, Theoretical and Applied Genetics.

[102]  H. Harmens,et al.  Gene flow in Plantago I. Gene flow and neighbourhood size in P. lanceolata1 , 1986, Heredity.

[103]  Robert J. Schmitz,et al.  Putting DNA methylation in context: from genomes to gene expression in plants. , 2017, Biochimica et biophysica acta. Gene regulatory mechanisms.

[104]  Nicolas Dierckxsens,et al.  NOVOPlasty: de novo assembly of organelle genomes from whole genome data. , 2016, Nucleic acids research.

[105]  W. Rappel,et al.  CO2 Sensing and CO2 Regulation of Stomatal Conductance: Advances and Open Questions. , 2016, Trends in plant science.

[106]  M. Andersson,et al.  Molecular Basis of Variation in Stomatal Responsiveness to Elevated CO2 , 2015 .

[107]  R Core Team,et al.  R: A language and environment for statistical computing. , 2014 .

[108]  Stewart J. Cohen,et al.  Climate Change 2014: Impacts,Adaptation, and Vulnerability. Part A: Global and Sectoral Aspects. Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change , 2014 .

[109]  Bao Liu,et al.  DNA cytosine methylation in plant development. , 2010, Journal of genetics and genomics = Yi chuan xue bao.

[110]  S. Long,et al.  Review Tansley Review , 2022 .

[111]  Y. Benjamini,et al.  Controlling the false discovery rate: a practical and powerful approach to multiple testing , 1995 .