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Record W4411967890 · doi:10.1016/j.ympev.2025.108404

Genomic insights into the reticulate evolution of viviparous Phrynocephalus lizards on the Qinghai-Tibetan Plateau

2025· article· en· W4411967890 on OpenAlexaff
Xianguang Guo, Zhongyi Yao, Bo Cai, Xiao Xiao, Qiwei Xu, Ying Chen, Lin Cui, Xia Qiu, Jinzhong Fu, Yin Qi, Weizhao Yang

Bibliographic record

VenueMolecular Phylogenetics and Evolution · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic diversity and population structure
Canadian institutionsUniversity of Guelph
FundersDepartment of Science and Technology of Sichuan ProvinceWest Light Foundation of the Chinese Academy of SciencesMinistry of Science and Technology of the People's Republic of ChinaChinese Academy of SciencesNational Natural Science Foundation of China
KeywordsBiologyReticulatePlateau (mathematics)Evolutionary biologyReticulate evolutionZoologyEcologyGeneticsPhylogeneticsBotanyGene

Abstract

fetched live from OpenAlex

The contribution of hybridization to the speciation and diversification of organisms remains a topic of ongoing debate. While ancient reticulate events have been increasingly recognized as a common feature in evolutionary history of many species, the role of hybridization in driving adaptation, especially in extreme environments, is still unclear. The viviparousPhrynocephaluslizards present an excellent system to investigate this question, which are distributed across the Qinghai-Tibetan Plateau (QTP) with most species occurring above 2,300 m above sea level. In this study, we employed an integrative approach combining population genetics, phylogenomics and gene flow assessment to unravel the evolutionary history of this clade using genome-wide dataset. Our results revealed a robust phylogenetic relationship between these species with evidence of multiple reticulate events throughout their colonization to the challenging QTP environments. Notably, we found the two highest-altitude species, P. erythrurus and P. theobaldi, received approximately 41% and 14% of their alleles via interspecific gene flow, respectively. Coding genes in these introgressed regions exhibited significantly accelerated evolution, and were over-represented in functions such as "response to temperature stimulus" and "circulatory system process", including key genes such as ACE and VEGFC, potentially facilitating their adaptation to high-altitude environments. This study suggests the broader relevance of gene flow in shaping evolutionary trajectories of species in extreme environments, and provides novel insights into the understanding of natural hybridization.

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 score0.529
Threshold uncertainty score0.562

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 head0.005
GPT teacher head0.207
Teacher spread0.202 · 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

Citations1
Published2025
Admission routes1
Has abstractyes

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