Revealing Ancient Wheat Phylogenetic Diversity: Machine Learning and Logistic Regression Identify Triticum sphaerococcum in Bronze Age Iberia

Our results demonstrate substantial phylogenetic turnover in wheat over the past 4000 years, marked by regional extirpations and contraction of once-widespread lineages to central Asia. This provides rare archeological evidence for the tempo and mode of cereal phylogeography, illustrating how domesticated lineages underwent extinction and range restriction akin to wild taxa. By integrating computational morphometrics with archaeobotanical evidence, this study establishes a scalable framework for tracing cryptic phylogenetic diversity, refining models of wheat domestication and assessing long-term genetic erosion in cultivated plants.

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Publication Details

Journal
Genes
Published
2025-12-09
DOI
https://doi.org/10.3390/genes16121477
Primary Topic
Archaeology and ancient environmental studies
Type
article
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article

Revealing Ancient Wheat Phylogenetic Diversity: Machine Learning and Logistic Regression Identify Triticum sphaerococcum in Bronze Age Iberia

Concepción Obón, María Milagrosa Ros Salá, Н. П. Гончаров, P. Pablo Ferrer‐Gallego et al.
Genes
Archaeology and ancient environmental studies
article

Revealing Ancient Wheat Phylogenetic Diversity: Machine Learning and Logistic Regression Identify Triticum sphaerococcum in Bronze Age Iberia

Concepción Obón, María Milagrosa Ros Salá, Н. П. Гончаров, P. Pablo Ferrer‐Gallego, Diego-José Rivera-Obón, Francisco Alcaraz, Diego Rivera, Emilio Laguna Lumbreras, Yulia V. Kruchinina
article en

Abstract

Our results demonstrate substantial phylogenetic turnover in wheat over the past 4000 years, marked by regional extirpations and contraction of once-widespread lineages to central Asia. This provides rare archeological evidence for the tempo and mode of cereal phylogeography, illustrating how domesticated lineages underwent extinction and range restriction akin to wild taxa. By integrating computational morphometrics with archaeobotanical evidence, this study establishes a scalable framework for tracing cryptic phylogenetic diversity, refining models of wheat domestication and assessing long-term genetic erosion in cultivated plants.

GenesVol. 16(12)
Universitat de Miguel Hernández d'Elx (ES), Université Paris-Saclay (FR), Generalitat Valenciana (ES), Instituto Valenciano de Investigaciones Agrarias (ES), Institute of Cytology and Genetics (RU), Universidad de Murcia (ES)
Openalex Percentile: Top 82%
Archaeology and ancient environmental studies
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Revealing Ancient Wheat Phylogenetic Diversity: Machine Learning and Logistic Regression Identify Triticum sphaerococcum in Bronze Age Iberia — Concepción Obón, María Milagrosa Ros Salá, et al. · Genes (2025) | TGRS Research Map | TGRS