Pan-European study of genotypes and phenotypes in the Arabidopsis relative Cardamine hirsuta reveals how adaptation, demography, and development shape diversity patterns

We study natural DNA polymorphisms and associated phenotypes in the Arabidopsis relative Cardamine hirsuta. We observed strong genetic differentiation among several ancestry groups and broader distribution of Iberian relict strains in European C. hirsuta compared to Arabidopsis. We found synchronization between vegetative and reproductive development and a pervasive role for heterochronic pathways in shaping C. hirsuta natural variation. A single, fast-cycling ChFRIGIDA allele evolved adaptively allowing range expansion from glacial refugia, unlike Arabidopsis where multiple FRIGIDA haplotypes were involved. The Azores islands, where Arabidopsis is scarce, are a hotspot for C. hirsuta diversity. We identified a quantitative trait locus (QTL) in the heterochronic SPL9 transcription factor as a determinant of an Azorean morphotype. This QTL shows evidence for positive selection, and its distribution mirrors a climate gradient that broadly shaped the Azorean flora. Overall, we establish a framework to explore how the interplay of adaptation, demography, and development shaped diversity patterns of 2 related plant species.

[1]  R. Poethig,et al.  Reproductive competence is regulated independently of vegetative phase change in Arabidopsis thaliana , 2023, Current Biology.

[2]  R. Gutenkunst,et al.  On the prospect of achieving accurate joint estimation of selection with population history , 2022, Genome biology and evolution.

[3]  D. Salt,et al.  A two-step adaptive walk rewires nutrient transport in a challenging edaphic environment , 2022, Science advances.

[4]  J. Hermisson,et al.  Parallel reduction in flowering time from de novo mutations enable evolutionary rescue in colonizing lineages , 2022, Nature Communications.

[5]  Miguel G. Matias,et al.  Climate change facilitated the early colonization of the Azores Archipelago during medieval times , 2021, Proceedings of the National Academy of Sciences.

[6]  Laurent Excoffier,et al.  fastsimcoal2: demographic inference under complex evolutionary scenarios , 2021, Bioinform..

[7]  P. Bork,et al.  Interactive Tree Of Life (iTOL) v5: an online tool for phylogenetic tree display and annotation , 2021, Nucleic Acids Res..

[8]  Rea L. Antoniou-Kourounioti,et al.  Natural variation in autumn expression is the major adaptive determinant distinguishing Arabidopsis FLC haplotypes , 2020, eLife.

[9]  O. Loudet,et al.  Natural variation at FLM splicing has pleiotropic effects modulating ecological strategies in Arabidopsis thaliana , 2020, Nature Communications.

[10]  Moisés Expósito-Alonso Seasonal timing adaptation across the geographic range of Arabidopsis thaliana , 2020, Proceedings of the National Academy of Sciences.

[11]  Daniel E. Runcie,et al.  Functional variants of DOG1 control seed chilling responses and variation in seasonal life-history strategies in Arabidopsis thaliana , 2020, Proceedings of the National Academy of Sciences.

[12]  Matthew R. Robinson,et al.  Accurate, scalable and integrative haplotype estimation , 2019, Nature Communications.

[13]  K. Borgwardt,et al.  AraPheno and the AraGWAS Catalog 2020: a major database update including RNA-Seq and knockout mutation data for Arabidopsis thaliana , 2019, Nucleic Acids Res..

[14]  Daniel E. Runcie,et al.  Large-effect flowering time mutations reveal conditionally adaptive paths through fitness landscapes in Arabidopsis thaliana , 2019, Proceedings of the National Academy of Sciences.

[15]  J. Jiménez-Gómez,et al.  Functional Analysis of FRIGIDA Using Naturally Occurring Variation in Arabidopsis thaliana , 2019, bioRxiv.

[16]  F. Vuolo,et al.  A Growth-Based Framework for Leaf Shape Development and Diversity , 2019, Cell.

[17]  Xiangchao Gan,et al.  Resolving the backbone of the Brassicaceae phylogeny for investigating trait diversity. , 2019, The New phytologist.

[18]  Philipp W. Messer,et al.  Tree‐sequence recording in SLiM opens new horizons for forward‐time simulation of whole genomes , 2019, Molecular ecology resources.

[19]  S. Myers,et al.  A method for genome-wide genealogy estimation for thousands of samples , 2019, Nature Genetics.

[20]  R. Lenski,et al.  Contingency and determinism in evolution: Replaying life’s tape , 2018, Science.

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

[22]  Richard Mott,et al.  Recovery of novel association loci in Arabidopsis thaliana and Drosophila melanogaster through leveraging INDELs association and integrated burden test , 2018, PLoS genetics.

[23]  Philipp W. Messer,et al.  SLiM 3: Forward Genetic Simulations Beyond the Wright–Fisher Model , 2018, bioRxiv.

[24]  O. Loudet,et al.  The complex genetic architecture of shoot growth natural variation in Arabidopsis thaliana , 2018, bioRxiv.

[25]  A. Fulgione,et al.  Archaic lineages broaden our view on the history of Arabidopsis thaliana. , 2018, The New phytologist.

[26]  Sudhir Kumar,et al.  MEGA X: Molecular Evolutionary Genetics Analysis across Computing Platforms. , 2018, Molecular biology and evolution.

[27]  R. Martienssen,et al.  Epigenetic activation of meiotic recombination near Arabidopsis thaliana centromeres via loss of H3K9me2 and non-CG DNA methylation , 2018, Genome research.

[28]  C. Dean,et al.  The FLC Locus: A Platform for Discoveries in Epigenetics and Adaptation. , 2017, Annual review of cell and developmental biology.

[29]  H. Burbano,et al.  The rate and potential relevance of new mutations in a colonizing plant lineage , 2017, bioRxiv.

[30]  Stephen E. Fick,et al.  WorldClim 2: new 1‐km spatial resolution climate surfaces for global land areas , 2017 .

[31]  P. Robinson,et al.  Integrative genomics viewer (IGV): Visualizing alignments and variants , 2017 .

[32]  Heng Li,et al.  Minimap2: pairwise alignment for nucleotide sequences , 2017, Bioinform..

[33]  H. Burbano,et al.  African genomes illuminate the early history and transition to selfing in Arabidopsis thaliana , 2017, Proceedings of the National Academy of Sciences.

[34]  P. Masqué,et al.  Vegetation and landscape dynamics under natural and anthropogenic forcing on the Azores Islands: A 700-year pollen record from the São Miguel Island , 2017 .

[35]  R. Mott,et al.  The Cardamine hirsuta genome offers insight into the evolution of morphological diversity , 2016, Nature Plants.

[36]  Søren Brunak,et al.  A genomic history of Aboriginal Australia , 2016, Nature.

[37]  Gang Wu,et al.  Developmental Functions of miR156-Regulated SQUAMOSA PROMOTER BINDING PROTEIN-LIKE (SPL) Genes in Arabidopsis thaliana , 2016, PLoS genetics.

[38]  M. Blum,et al.  Pcadapt: An R Package to Perform Genome Scans for Selection Based on Principal Component Analysis , 2016, bioRxiv.

[39]  Karsten M. Borgwardt,et al.  1,135 Genomes Reveal the Global Pattern of Polymorphism in Arabidopsis thaliana , 2016, Cell.

[40]  Yiannis Ventikos,et al.  Morphomechanical Innovation Drives Explosive Seed Dispersal , 2016, Cell.

[41]  C. Vincent,et al.  Multi-layered Regulation of SPL15 and Cooperation with SOC1 Integrate Endogenous Flowering Pathways at the Arabidopsis Shoot Meristem. , 2016, Developmental cell.

[42]  O. Savolainen,et al.  Selection for population‐specific adaptation shaped patterns of variation in the photoperiod pathway genes in Arabidopsis lyrata during post‐glacial colonization , 2016, Molecular ecology.

[43]  C. Wilke Streamlined Plot Theme and Plot Annotations for 'ggplot2' , 2015 .

[44]  Jerome Kelleher,et al.  Efficient Coalescent Simulation and Genealogical Analysis for Large Sample Sizes , 2015, bioRxiv.

[45]  P. Borges,et al.  Birds from the Azores: An updated list with some comments on species distribution , 2015, Biodiversity data journal.

[46]  Frédéric Bouché,et al.  FLOR-ID: an interactive database of flowering-time gene networks in Arabidopsis thaliana , 2015, Nucleic Acids Res..

[47]  M. Carine,et al.  Are there any widespread endemic flowering plant species in Macaronesia? Phylogeography of Ranunculus cortusifolius. , 2015, American journal of botany.

[48]  Achim Tresch,et al.  Heterochrony underpins natural variation in Cardamine hirsuta leaf form , 2015, Proceedings of the National Academy of Sciences.

[49]  M. Carine,et al.  A revision of the genus Leontodon (Asteraceae) in the Azores based on morphological and molecular evidence , 2015 .

[50]  Michael DeGiorgio,et al.  SweepFinder2: increased sensitivity, robustness and flexibility , 2015, Bioinform..

[51]  Peter J. Bradbury,et al.  Recombination in diverse maize is stable, predictable, and associated with genetic load , 2015, Proceedings of the National Academy of Sciences.

[52]  Min Shi,et al.  The miR156-SPL9-DFR pathway coordinates the relationship between development and abiotic stress tolerance in plants. , 2014, The Plant journal : for cell and molecular biology.

[53]  J. Doudna,et al.  The new frontier of genome engineering with CRISPR-Cas9 , 2014, Science.

[54]  D. Weigel,et al.  Temporal Control of Leaf Complexity by miRNA-Regulated Licensing of Protein Complexes , 2014, Current Biology.

[55]  W. Huber,et al.  Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2 , 2014, Genome Biology.

[56]  Carson C Chow,et al.  Second-generation PLINK: rising to the challenge of larger and richer datasets , 2014, GigaScience.

[57]  D. Schemske,et al.  Flowering time QTL in natural populations of Arabidopsis thaliana and implications for their adaptive value , 2014, Molecular ecology.

[58]  M. Nordborg,et al.  Multiple FLC haplotypes defined by independent cis-regulatory variation underpin life history diversity in Arabidopsis thaliana , 2014, Genes & development.

[59]  H. Puchta,et al.  Both CRISPR/Cas-based nucleases and nickases can be used efficiently for genome engineering in Arabidopsis thaliana. , 2014, The Plant journal : for cell and molecular biology.

[60]  R. Durbin,et al.  Inferring human population size and separation history from multiple genome sequences , 2014, Nature Genetics.

[61]  J. Weller,et al.  Genetic Control of Heterochrony in Eucalyptus globulus , 2014, G3: Genes, Genomes, Genetics.

[62]  R. Mott,et al.  Cardamine hirsuta: a versatile genetic system for comparative studies. , 2014, The Plant journal : for cell and molecular biology.

[63]  W. Scheible,et al.  Arabidopsis miR156 Regulates Tolerance to Recurring Environmental Stress through SPL Transcription Factors[C][W] , 2014, Plant Cell.

[64]  F. Vuolo,et al.  Leaf Shape Evolution Through Duplication, Regulatory Diversification, and Loss of a Homeobox Gene , 2014, Science.

[65]  John K. McKay,et al.  Genetic mapping of adaptation reveals fitness tradeoffs in Arabidopsis thaliana , 2013, Proceedings of the National Academy of Sciences.

[66]  L. Excoffier,et al.  Robust Demographic Inference from Genomic and SNP Data , 2013, PLoS genetics.

[67]  John T. Lovell,et al.  Pleiotropy of FRIGIDA enhances the potential for multivariate adaptation , 2013, Proceedings of the Royal Society B: Biological Sciences.

[68]  Nikolaos S. Alachiotis,et al.  SweeD: Likelihood-Based Detection of Selective Sweeps in Thousands of Genomes , 2013, Molecular biology and evolution.

[69]  Li Yang,et al.  Sugar promotes vegetative phase change in Arabidopsis thaliana by repressing the expression of MIR156A and MIR156C , 2013, eLife.

[70]  Jia-Wei Wang,et al.  Sugar is an endogenous cue for juvenile-to-adult phase transition in plants , 2013, eLife.

[71]  Mark Stitt,et al.  Regulation of Flowering by Trehalose-6-Phosphate Signaling in Arabidopsis thaliana , 2013, Science.

[72]  Xianzhong Feng,et al.  The genetic basis for natural variation in heteroblasty in Antirrhinum. , 2012, The New phytologist.

[73]  David Levine,et al.  A high-performance computing toolset for relatedness and principal component analysis of SNP data , 2012, Bioinform..

[74]  Bjarni J. Vilhjálmsson,et al.  An efficient multi-locus mixed model approach for genome-wide association studies in structured populations , 2012, Nature Genetics.

[75]  M. Stephens,et al.  Genome-wide Efficient Mixed Model Analysis for Association Studies , 2012, Nature Genetics.

[76]  A. Auton,et al.  Genome-wide patterns of genetic variation in worldwide Arabidopsis thaliana accessions from the RegMap panel , 2011, Nature Genetics.

[77]  Detlef Weigel,et al.  Natural Variation in Arabidopsis: From Molecular Genetics to Ecological Genomics1[W][OA] , 2011, Plant Physiology.

[78]  C. Alonso-Blanco,et al.  Altitudinal and Climatic Adaptation Is Mediated by Flowering Traits and FRI, FLC, and PHYC Genes in Arabidopsis1[W] , 2011, Plant Physiology.

[79]  Karsten M. Borgwardt,et al.  Whole-genome sequencing of multiple Arabidopsis thaliana populations , 2011, Nature Genetics.

[80]  Vipin T. Sreedharan,et al.  Multiple reference genomes and transcriptomes for Arabidopsis thaliana , 2011, Nature.

[81]  C. Jung,et al.  Flowering time variation in oilseed rape (Brassica napus L.) is associated with allelic variation in the FRIGIDA homologue BnaA.FRI.a , 2011, Journal of experimental botany.

[82]  Kenneth Lange,et al.  Enhancements to the ADMIXTURE algorithm for individual ancestry estimation , 2011, BMC Bioinformatics.

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

[84]  M. Schmid,et al.  Regulation of flowering time: all roads lead to Rome , 2011, Cellular and Molecular Life Sciences.

[85]  Luís Silva,et al.  Testing Darwin's naturalization hypothesis in the Azores. , 2011, Ecology letters.

[86]  R. Poethig,et al.  The effect of the floral repressor FLC on the timing and progression of vegetative phase change in Arabidopsis , 2011, Development.

[87]  Pjotr Prins,et al.  R/qtl: high-throughput multiple QTL mapping , 2010, Bioinform..

[88]  Joy Bergelson,et al.  Linkage and Association Mapping of Arabidopsis thaliana Flowering Time in Nature , 2010, PLoS genetics.

[89]  D. Stern Evolution, Development, & the Predictable Genome , 2010 .

[90]  Detlef Weigel,et al.  The Scale of Population Structure in Arabidopsis thaliana , 2010, PLoS genetics.

[91]  Richard M. Clark,et al.  The Rate and Molecular Spectrum of Spontaneous Mutations in Arabidopsis thaliana , 2010, Science.

[92]  Hadley Wickham,et al.  ggplot2 - Elegant Graphics for Data Analysis (2nd Edition) , 2017 .

[93]  Ryan D. Hernandez,et al.  Inferring the Joint Demographic History of Multiple Populations from Multidimensional SNP Frequency Data , 2009, PLoS genetics.

[94]  David H. Alexander,et al.  Fast model-based estimation of ancestry in unrelated individuals. , 2009, Genome research.

[95]  M. Carine,et al.  The Azores diversity enigma: why are there so few Azorean endemic flowering plants and why are they so widespread? , 2009 .

[96]  Peter J. Bradbury,et al.  The Last Glacial Maximum , 2009, Science.

[97]  K. Broman,et al.  A Guide to QTL Mapping with R/qtl , 2009 .

[98]  R. Amasino,et al.  Major flowering time gene, FLOWERING LOCUS C, regulates seed germination in Arabidopsis thaliana , 2009, Proceedings of the National Academy of Sciences.

[99]  R. Mott,et al.  A Multiparent Advanced Generation Inter-Cross to Fine-Map Quantitative Traits in Arabidopsis thaliana , 2009, PLoS genetics.

[100]  Brook T. Moyers,et al.  Effects of Genetic Perturbation on Seasonal Life History Plasticity , 2009, Science.

[101]  David L Stern,et al.  Is Genetic Evolution Predictable? , 2009, Science.

[102]  Stefano Lonardi,et al.  Efficient and Accurate Construction of Genetic Linkage Maps from the Minimum Spanning Tree of a Graph , 2008, PLoS genetics.

[103]  Miltos Tsiantis,et al.  A developmental framework for dissected leaf formation in the Arabidopsis relative Cardamine hirsuta , 2008, Nature Genetics.

[104]  S. Carroll Evo-Devo and an Expanding Evolutionary Synthesis: A Genetic Theory of Morphological Evolution , 2008, Cell.

[105]  R. Lenski,et al.  Historical contingency and the evolution of a key innovation in an experimental population of Escherichia coli , 2008 .

[106]  Detlef Weigel,et al.  Dual Effects of miR156-Targeted SPL Genes and CYP78A5/KLUH on Plastochron Length and Organ Size in Arabidopsis thaliana[W][OA] , 2008, The Plant Cell Online.

[107]  Heinz Saedler,et al.  The microRNA regulated SBP-box genes SPL9 and SPL15 control shoot maturation in Arabidopsis , 2008, Plant Molecular Biology.

[108]  O. Savolainen,et al.  Natural variation in Arabidopsis lyrata vernalization requirement conferred by a FRIGIDA indel polymorphism. , 2008, Molecular biology and evolution.

[109]  James B. Beck,et al.  Native range genetic variation in Arabidopsis thaliana is strongly geographically structured and reflects Pleistocene glacial dynamics , 2007, Molecular ecology.

[110]  Richard M. Clark,et al.  Common Sequence Polymorphisms Shaping Genetic Diversity in Arabidopsis thaliana , 2007, Science.

[111]  D. Erwin Evolutionary contingency , 2006, Current Biology.

[112]  M. Stitt,et al.  Sugar-induced increases in trehalose 6-phosphate are correlated with redox activation of ADPglucose pyrophosphorylase and higher rates of starch synthesis in Arabidopsis thaliana. , 2006, The Biochemical journal.

[113]  Keyan Zhao,et al.  A Nonparametric Test Reveals Selection for Rapid Flowering in the Arabidopsis Genome , 2006, PLoS biology.

[114]  J. L. Parra,et al.  Very high resolution interpolated climate surfaces for global land areas , 2005 .

[115]  M. Nordborg,et al.  Role of FRIGIDA and FLOWERING LOCUS C in Determining Variation in Flowering Time of Arabidopsis1[w] , 2005, Plant Physiology.

[116]  C. R. McClung,et al.  Enhanced Fitness Conferred by Naturally Occurring Variation in the Circadian Clock , 2003, Science.

[117]  M. Schmid,et al.  Genome-Wide Insertional Mutagenesis of Arabidopsis thaliana , 2003, Science.

[118]  R. Poethig,et al.  Phase Change and the Regulation of Developmental Timing in Plants , 2003, Science.

[119]  M. Koornneef,et al.  Analysis of natural allelic variation at seed dormancy loci of Arabidopsis thaliana. , 2003, Genetics.

[120]  A. V. Van Dijken,et al.  Trehalose 6-phosphate is indispensable for carbohydrate utilization and growth in Arabidopsis thaliana , 2003, Proceedings of the National Academy of Sciences of the United States of America.

[121]  Hao Wu,et al.  R/qtl: QTL Mapping in Experimental Crosses , 2003, Bioinform..

[122]  H. Schäfer Chorology and Diversity of the Azorean Flora , 2003 .

[123]  X. Reboud,et al.  DNA polymorphism at the FRIGIDA gene in Arabidopsis thaliana: extensive nonsynonymous variation is consistent with local selection for flowering time. , 2002, Molecular biology and evolution.

[124]  R. Amasino,et al.  Molecular analysis of FRIGIDA, a major determinant of natural variation in Arabidopsis flowering time. , 2000, Science.

[125]  R. Amasino,et al.  FLOWERING LOCUS C Encodes a Novel MADS Domain Protein That Acts as a Repressor of Flowering , 1999, Plant Cell.

[126]  S. Clough,et al.  Floral dip: a simplified method for Agrobacterium-mediated transformation of Arabidopsis thaliana. , 1998, The Plant journal : for cell and molecular biology.

[127]  M. Slatkin,et al.  Genetic hitch-hiking in a subdivided population. , 1998, Genetical research.

[128]  William R. Taylor,et al.  The rapid generation of mutation data matrices from protein sequences , 1992, Comput. Appl. Biosci..

[129]  F. Tajima Statistical method for testing the neutral mutation hypothesis by DNA polymorphism. , 1989, Genetics.

[130]  S. Gould,et al.  The spandrels of San Marco and the Panglossian paradigm: a critique of the adaptationist programme , 1979, Proceedings of the Royal Society of London. Series B. Biological Sciences.

[131]  Ke Wang,et al.  MSMC and MSMC2: The Multiple Sequentially Markovian Coalescent. , 2020, Methods in molecular biology.

[132]  Angela Hay,et al.  The genetic architecture of petal number in Cardamine hirsuta. , 2016, The New phytologist.

[133]  Bjarni J. Vilhjálmsson,et al.  Genome-wide association study of 107 phenotypes in Arabidopsis thaliana inbred lines , 2010 .

[134]  J. R. Lobry,et al.  SeqinR 1.0-2: A Contributed Package to the R Project for Statistical Computing Devoted to Biological Sequences Retrieval and Analysis , 2007 .

[135]  N. Barton,et al.  Genetic hitchhiking. , 2000, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[136]  A. Davy Comparative plant ecology: A functional approach to common British species , 1990 .

[137]  J. M. Smith,et al.  The hitch-hiking effect of a favourable gene. , 1974, Genetical research.

[138]  T. G. Tutin The Vegetation of the Azores , 1953 .