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Record W7128611832 · doi:10.5061/dryad.wstqjq2wm

Data for: Phylogenetic resolution and conflict in the species-rich flowering plant family Leguminosae

2025· dataset· en· W7128611832 on OpenAlexaff
Rong Zhang, Gregory W. Stull, Jian‐Jun Jin, Yinhuan Wang, Ying Guo, Zhi-Yun Yang, Hong-Tao Li, Kai-Lun An, Joseph L. M. Charboneau, Ryan A. Folk, Domingos Cardoso, Luciano P. de Queiroz, Anne Bruneau, Pamela Soltis, Doug Soltis, Stephen Smith, De-Zhu Li, Ting‐Shuang Yi

Bibliographic record

VenueOpen MIND · 2025
Typedataset
Languageen
Field
Topic
Canadian institutionsUniversité de Montréal
FundersConselho Nacional de Desenvolvimento Científico e TecnológicoMinistry of Science and Technology of the People's Republic of ChinaPeople's Government of Yunnan ProvinceNational Natural Science Foundation of China
KeywordsPhylogenetic treeCladeSubfamilyPhylogeneticsSupertreeCoalescent theoryLineage (genetic)Nuclear gene

Abstract

fetched live from OpenAlex

The Tree of Life is central to evolutionary biology, yet resolving deep, recalcitrant phylogenetic relationships remains challenging due to complex processes such as incomplete lineage sorting (ILS), hybridization, and polyploidization. Although previous phylogenetic studies have advanced our understanding of Leguminosae (Fabaceae), a species-rich and ecologically diverse family, many deep relationships at the tribal and higher levels remain unresolved. Integrating newly generated genome skimming data for 231 species with previously issued plastid genomic, mitochondrial genomic and transcriptomic data, we reconstructed a phylogeny of the family using whole plastome, 39 mitochondrial genes, and 1559 low-copy nuclear genes, achieving dense taxonomic sampling across almost all recognized tribes and major unplaced lineages. Our results supported the monophyly of the six subfamilies and 49 recognized tribes, resolved ten clades worthy of recognition as new tribes in subfamily Papilionoideae, and clarified many contentious relationships. However, nuclear-nuclear and cytonuclear conflicts persists at multiple nodes among trees inferred from different datasets and analytical methods. We propose the most probable resolution for 22 contentious nodes by applying nuclear gene-tree quartet analysis and corroboration from support of nuclear Maximum Likelihood (ML) and ASTRAL trees. Our results indicate ILS significantly contributes to observed phylogenetic conflicts, while gene flow represents an additional and previously underappreciated factor that mainly contributes to cytonuclear conflicts, particularly along the branches of the Angylocalyceae + Dipterygeae + Amburaneae (ADA) clade and Wisterieae. Both processes likely underlie recalcitrant phylogenetic relationships, such as those within the 50-kb inversion clade of Papilionoideae. Our study uses multiple data partitions and analytical methods to resolve contentious phylogenetic relationships in Leguminosae, resulting in a robust phylogenomic framework to guide further investigations in this economically important and exceptionally diverse family.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.072
Threshold uncertainty score0.242

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.013
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0050.009
Science and technology studies0.0020.001
Scholarly communication0.0020.002
Open science0.0020.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0720.040

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 head0.143
GPT teacher head0.356
Teacher spread0.213 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreDataset

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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