MétaCan
Menu
Back to cohort
Record W4407597004 · doi:10.1093/sysbio/syaf012

The Consequences of Budding Speciation on Trees

2025· article· en· W4407597004 on OpenAlex
C. Tomomi Parins-Fukuchi, James Saulsbury

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSystematic Biology · 2025
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicEvolution and Paleontology Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsBiologyCladeMacroevolutionCladogenesisEvolutionary biologyPhylogenetic treeMost recent common ancestorGenetic algorithmTaxonRange (aeronautics)BuddingPaleontologyPhylogeneticsExtant taxonEcology

Abstract

fetched live from OpenAlex

Paleobiologists have long sought to explain how alternative modes of speciation, including budding and bifurcating cladogenesis, shape patterns of evolution. Methods introduced over the past decade have paved the way for a renewed enthusiasm for exploring modes of speciation in the fossil record. However, the field does not yet have a strong intuition for how ancestor-descendant relationships, especially those that arise from budding speciation, might influence the shape of trees reconstructed for fossil or living clades. We developed a simulation approach based on classic paleobiological theory to ask what proportion of ancestral nodes in paleontological phylogenies are expected to correspond to sampled taxa under a range of preservational regimes. We compared our simulated results to empirical estimates of absolute fossil record completeness gathered from the literature and found that many fossilized clades of marine invertebrates are likely to display upwards of 80% sampled ancestors. Under a primarily budding model, phylogenies where 100% of the internal nodes correspond to named species are very possible for well-sampled clades at local and regional scales. We also leveraged our simulation approach to ask how budding might shape extant clades. We found that the ancestral signature of budding causes rampant hard polytomies (i.e., multifurcations), greatly impacting the shape of extant clades. Our results highlight how budding can yield dramatic and unrecognized effects on phylogenetic reconstruction of clades of both living and extinct organisms.

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.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.152
Threshold uncertainty score0.664

Codex and Gemma teacher scores by category

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

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 head0.022
GPT teacher head0.264
Teacher spread0.243 · 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