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Record W4406701243 · doi:10.1093/hr/uhaf026

Genomic data uncover complex hybridization and evolutionary history of the bunchberry species complex (<i>Cornus</i> L., Cornaceae)

2025· article· en· W4406701243 on OpenAlex
Yanxia Sun, W. Zhou, Qiu‐Yun Xiang

Why this work is in the frame

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aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
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Bibliographic record

VenueHorticulture Research · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBerry genetics and cultivation research
Canadian institutionsnot available
FundersNational Natural Science Foundation of ChinaU.S. Department of AgricultureNational Institute of Food and AgricultureNational Science Foundation
KeywordsBiologySpecies complexEvolutionary biologyBotanyGeneticsPhylogenetic treeGene

Abstract

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Dear Editor, Hybridization is an important force in plant evolution and speciation, and a powerful traditional method for target breeding of horticultural crops [1]. Investigating the occurrence, extent, and genetic consequences of natural hybridization in a group is not only critical to understanding the processes shaping plant diversity but also important to genetic breeding of ornamental plants by guiding the selection of wild relatives for hybridization. However, our knowledge on the dynamics of natural hybridization and its evolutionary outcomes in many plants, especially those restricted to special habitats and with horticultural importance/potentials, is highly limited. The dwarf dogwoods, the Arctocrania clade of Cornus L. (Cornaceae), are four rhizomatous perennial species, Cornus canadensis L. (Cc), C. suecica L. (Cs), C. unalaschkensis Ledeb. (Cu), and C. wardiana Rushforth & Wahlsteen (Cw) (Fig. 1A), well known for their strong tolerance to low temperature and uses as ornamental and food plants. These plants are durable, attractive ground covers widely grown in hanging baskets or gardens, and make edible red fruits that are used for jams, jellies and fruit preserves. The boundaries of the four known species are blurred due to prevalent intermediate forms between Cc and Cs throughout the North American boreal–arctic distribution range of the clade, which are classified as Cu, Cc > Cs (morphologically more similar to Cc), and Cs > Cc (morphologically more similar to Cs) (Fig. S1) [2]. These three intermediate forms and the two morphological extremes represented by Cc and Cs comprise the bunchberry species complex (Table S1). The morphological variation suggested that hybridization may have been an important process driving the evolution of the group, leading to species formation and diversification and, maybe, also breakdown of species boundaries. To test the hypothesis, we conducted a study of the species complex by including 374 dwarf dogwood individuals from 88 populations across the distributional range covering morphological variation representing the known species and intermediate forms using genome-wide genetic polymorphisms at 43,137 variant sites from 1,126 ddRAD (double-digest restriction site-associated DNA) loci (Table S2). We integrated population genomics, phylogeography, and distribution modeling (Fig. S2; Tables S3 and S4) to document hybridization and gain insights into its role in shaping the evolution of the species complex and how climate changes have affected hybridization. Population genomic analyses of the dwarf dogwoods. (A) Images of Cornus canadensis, C. suecica, C. unalaschkensis, and C. wardiana showing differences in petal color and leaf texture and morphology. The petals of the bunchberry complex are indicated with arrows. Cc, C. canadensis; Cs, C. suecica; Cu, C. unalaschkensis; Cw, C. wardiana. Image of Cw was cropped from a photo provided by Hugh Mc Allister. (B) Evolutionary relationships of the 374 dwarf dogwood individuals with genetic cluster memberships as inferred by ADMIXTURE under optimal K = 8. (a) ML (maximum likelihood) tree inferred from phylogenetic analysis using IQ-TREE, rooted using Cw based on the results from [6]. Bootstrap support values for main clades identified by the analysis are labeled. Colors of branches are consistent with the genetic cluster memberships identified by ADMIXTURE. (b) Plotted genetic components of all individuals identified by ADMIXTURE. General geographical distributions of Cc and Cu lineages are indicated: NEA, northeastern Asia; PNW, Pacific Northwest; ENA, eastern North America; WNA, western North America. (C) Geographical distribution of the 88 dwarf dogwood populations, with their genetic cluster membership inferred by ADMIXTURE shown in respective colors. (D) Genome size (2C) of 27 dwarf dogwood individuals estimated using flow cytometry. Putative ploidy levels of the 27 individuals inferred based on genome size with known ploidy published in [7] are also labeled. The genetic components of these individuals inferred by ADMIXTURE are indicated by color consistent with that in (B). (E) Results of the ABBA-BABA analysis. The analysis is based on the phylogeny of (((P1, P2), P3), O) as revealed in Fig. 1B, G and H and tests gene flow between P3 and P2 (D ≠ 0; Z > 3) and P3 and P1 (D ≠ 0; Z > 3). The samples of P1, P2, and P3 were assigned according to the taxon names labeled for each individual in Table D1 as identified based on morphology and the phylogeny revealed in Fig. 1B. O is the outgroup. BABA, number of SNPs shared between P1 and P3; ABBA, number of SNPs shared between P2 and P3; the analysis supports gene flow between P2 and P3. Cc, C. canadensis; Cs, C. suecica; Cu, C. unalaschkensis; Cw, C. wardiana; Ch, C. hybrid in Table S2. (F) Plots of two principal components showing genetic relationships among the 370 bunchberry species complex individuals. Colors represent their respective cluster membership inferred by ADMIXTURE. (G) Phylogenetic neighbor networks of the dwarf dogwoods computed with SplitsTree 4. The genetic cluster memberships of lineages are indicated in color consistent with (B). Parallel edges represent the splits computed from the data. (H) Estimation of divergence time using individuals with ‘pure’ ancestry from each genetic group identified by ADMIXTURE. Divergence times [mean and 95% CI in million years ago (Mya)] between main clades are labeled and annotated. Colors of branches correspond to respective taxa in other panels of the figure. (I) Estimated habitat suitability for C. canadensis and C. suecica during the last glacial maximum (LGM), the near current (1970–2000), and in the future (2061–2080) by MaxEnt based on available distribution locations of the species and the standard 19 WorldClim Bioclimatic variables. Our analyses revealed eight ancestries for the 374 individuals: Cw, Cs, Cc1, Cc2, Cc3, CcCu, Cu1, and Cu2 (Figs 1B, S3, S4, and S5; Table S2), each containing a portion of individuals with admixed ancestries, except Cc2 from northeastern Asia (NEA) (Figs 1B, 1C, S4, and S5). The spatial pattern of genetic clusters and their phylogenetic relationships indicates a number of points: (i) hybridization and introgression within the species complex are prevalent and complicated (Figs 1B, S4, and S5), which was also supported by the D-statistic (Fig. 1E); (ii) Cw, Cs, and Cc2 are geographically and genetically well separated (Figs. 1B, 1C); (iii) Cc and Cu are genetically and evolutionarily more diverse than previously known, showing divergence associated with geographic regions (Fig. 1B and C); (iv) Cc > Cs and Cs > Cc are not recognized as distinct genetic clusters but spread in other clusters (Fig. S4; Table S2); (v) the Pacific Northwest (PNW) region is a center of genetic diversity and heterogeneous hybridization (Figs 1B and S4); (vi) possible ancient hybridization between Cw and Cc1 based on individuals showing significant admixture of ancestries of Cw and Cc1 (Figs 1B, S4, and S5). In short, the patterns of genetic admixture combined with results from the D-statistic suggest the presence of hybrids at different generations, from F1 to later backcross generations, from both ancient and more recent events in the clade, based on levels of introgression/admixture of genetic ancestries of different species. Although Cu has been recognized as an allopolyploid species from hybridization between Cs and Cc [2], the genetic admixture and phylogeny suggest Cu was probably derived independently of Cs, but evolving within Cc during the Pleistocene (Fig. 1B and H). This timing of Cu’s origin is consistent with the previous hypothesis [2]. Limited data for flow cytometry showed a mixture of ploidy of the individuals in Cu1 including those with admixed ancestries (Fig. 1D). The detection of the diploid Cs × Cu1 genome points to a diploid ancestry of Cu1 and suggests likely autotetraploidy in the Cu1 group (Fig. 1D). Additional flow cytometry data from plants not included in the genetic analysis show a complex variation of genome size at a given location (Fig. S6; Table S5), suggesting dynamic changes in genome sizes that likely involved hybridization, aneuploidy, and/or polyploidy within and between taxa. Divergence time estimation of the eight genetic groups shows a good match to several past climatic events (Fig. 1H), suggesting significant impacts of historical climate changes on the diversification and hybridization of the dwarf dogwoods. The successive early divergence of Cw and Cs was concordant with the ending of the Mid-Miocene Climatic Optimum. Given the detection of putative hybrids between Cw and Cc1 in eastern North America (ENA) (Fig. S4), the divergence of Cw from Cs + Cc-Cu likely occurred in the north, where their ranges were once overlapping to facilitate hybridization, before it dispersed southward into the Sino-Himalayan region. The divergence between NEA Cc2 and North America (NA) Cc-Cu corresponds to the breaking of the Bering land bridge [3], and the diversification of the NA lineage into the ENA Cc1 and western North America (WNA) Cc3, Cu1, Cu2, and CcCu occurred during the mid-Pleistocene ice age when the grassland in central NA had well-developed isolating forests in the eastern and western USA and glaciation cycles significantly impacted the PNW region, where it is known to have provided refugia within refugia for organisms [4]. Hence, diversification of the CcCu-Cu subclade following the beginning of the Laurentide ice shield was likely promoted by combined effects of geographic isolation, remixing, hybridization, and polyploidization in refugia of the PNW during the glaciation periods. Considering genetic differentiation, phylogenies, morphology, and distribution, we propose to recognize NEA Cc2 as a new species with the name Cornus orientalis Y.X.Sun, W.B.Zhou & Q.-Y.Xiang, and two cryptic subspecies within Cu [C. unalaschkensis subsp. unalaschkensis (Cu1 + CcCu) and C. unalaschkensis subsp. borealis (Cu2)], and two cryptic subspecies within Cc [C. canadensis subsp. canadensis (Cc1) and C. canadensis subsp. pristina (Cc3)]. Incomplete lineage sorting and gene flow are expected between species and subspecies, which explains why CcCu and Cu2 individuals nested within Cu1. It must be noted that the previously diverged lineages can face the risk of reverting to a single gene pool due to continuous hybridization and introgression in the PNW region (Fig. 1F). This concern is coupled with the predicted reduction of suitable habitats of Cs in the region (Fig. 1I). The modern suitable range of the species has significantly narrowed and shifted southward in Beringia, Alaska, western Canada, and NE America, compared with the last glacial maximum (LGM) (Fig. 1I). The future range of Cs is predicted to be highly reduced in the PNW, with loss in some parts of ENA. Shrinkage of the coastal arctic and alpine habitats due to sea level increase under climate warming will enhance the threat to Cs from hybridization with Cc and Cu. In summary, our study based on genome-wide polymorphisms revealed hidden genetic structures of the bunchberry species complex. The evolutionary histories may have involved complicated hybridization, introgression, and polyploidization. Results from the present study support important roles of hybridization and climate changes in the diversification of species adapted to cold and subarctic regions that are facing the most threat of climatic warming [5]. The new knowledge learned from the study that all species are capable of hybridization presents opportunities to breed varieties with desired traits from different species or hybrid forms, such as Cw-like evergreen plants with white petals via artificial hybridization. We are deeply grateful to Xiang Liu, Na Li, Enxiang Li, Yibo Dong, Morgan Miller, Xiaolong Zhang, Kimberly Shear, and Nolan Ives for DNA extraction and/or flow cytometry analyses; to Stefanie Ickert-Bond, Heini Emilia Rämä, and Erin Tripp for obtaining and shipping herbarium samples from University of Alaska at Fairbanks (ALA), Arctic University Museum of Norway (TROM), and University of Colorado Museum of Natural History (COLO), respectively; to David Boufford, Christian Brochmann, Chuanzhu Fan, Pan Li, Juan Liu, Marilee Lovit, Qing Ma, Andres Qi, Kimberly Shear, Nicholas P Tippery, and Chris Trlica for collecting samples in the field; and to Boka Li, Tan Qin, M. Peters, Stacy M. Smith, and Wenheng Zhang for assistance in field collections or obtaining herbarium samples. This study benefited from an NSF grant to Q.-Y.(J.)X. (DEB-1442161), the National Natural Science Foundation of China (32322006), and the USDA National Institute of Food and Agriculture (Hatch project 02958). . Q.-Y.(J.)X. conceived the project and secured plant samples. W.Z. performed the experiments generating the genetic data. Y.S. performed data analyses and prepared the figures and the manuscript draft. Y.S. and Q.-Y.(J.)X. interpreted the results and wrote the manuscript. All authors read, edited, and approved the final manuscript. The raw DNA sequencing reads of the 374 dwarf dogwoods have been deposited at the SRA repository under bioproject number PRJNA1167660. The supplementary data and methods generated in this study are available from the Dryad Digital Repository: http://datadryad.org/stash/share/7xnlhK-4MR0v34GlIBQFBDZ1uOymEJDInz7JsRyatQw. Additional data (e.g., SNP data matrices) related to this research are available from the first author. The authors declare no conflicts of interest.

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Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.579
Threshold uncertainty score0.826

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.193
GPT teacher head0.322
Teacher spread0.129 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it