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Record W4414701405 · doi:10.1111/jbi.70060

The Phylogeography of Selfing <i>Caulokaempferia coenobialis</i> Responded to Pleistocene Karst Development and Transgressions‐Regressions in Southern China

2025· article· en· W4414701405 on OpenAlexaboutno aff
Guo‐Hui Lu, Huijing He, Yan Zhong, Bo Tan, Yingqiang Wang

Bibliographic record

VenueJournal of Biogeography · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPlant and Fungal Species Descriptions
Canadian institutionsnot available
FundersNational Natural Science Foundation of China
KeywordsPhylogeographyDemographic historyGenetic diversityVicariancePopulationPleistoceneKarstChinaSelfing

Abstract

fetched live from OpenAlex

ABSTRACT Aim Southern China was not directly affected by large continuous ice sheets during the late Pliocene to the Quaternary period, thus playing a central role in shaping the biodiversity distribution patterns of species globally. While numerous phylogeographical studies have focused on three subkingdoms: the Qinghai‐Tibetan Plateau (QTP), the Sino‐Himalayan Forest and the Sino‐Japanese Forest, research on the formation of plant diversity in South China is limited. This study aims to investigate the drivers of plant diversification in southern China by elucidating the evolutionary history of the endemic selfing herb Caulokaempferia coenobialis . Location Southern China. Taxon Caulokaempferia coenobialis (Zingiberaceae). Methods We analysed the evolutionary history of C. coenobialis by sequencing 11 chloroplast regions and three nuclear genes from 145 individuals across 15 populations, as well as assembling 29 plastid genomes. Results C. coenobialis exhibits high genetic diversity at the species and regional levels, with low population genetic diversity and significant inter‐population differentiation. All populations diverged into two major lineages located in Southwest and South China approximately 2.75 Ma, after which the South China lineage diverged into two sublineages in Southern and Northern South China approximately 1.21 Ma. These two divergences coincided with the Karst development between Southwest and South China and the transgressions and regressions in South China during the Pleistocene. Main Conclusions The Pleistocene monsoonal climatic fluctuations, the tectonic activity of the southeastern boundary fault of the QTP, the resulting development of Karst landforms and the transgressions and regressions in South China shaped the phylogeographical pattern of C. coenobialis . The study offers new insights into the effect of Pleistocene climatic fluctuations and neotectonic movement on the genetic isolation and population differentiation of plant species in southern China. It also offers practical implications for achieving the ‘30 × 30’ target of the Kunming‐Montreal Biodiversity Framework.

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 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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.758
Threshold uncertainty score0.401

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.006
GPT teacher head0.231
Teacher spread0.225 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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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