Author

Harini Rangarajan

Pennsylvania State UniversityORCID 0000-0002-4575-9251Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:development & morphogenesis· 2 Organism:plant (other)· 2 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Assay:DNA methylation· 1 Approach:experimental assay· 1 Assay:metagenomics· 1 Assay:proteomics· 1

Frequent Co-Authors

Iván López-ValdiviaiD· 3 shared Jonathan Paul LynchiD· 3 shared Jagdeep Singh SidhuiD· 2 shared Miguel Vallebueno‐EstradaiD· 2 shared Ruairidh J. H. SawersiD· 2 shared Bruce F. BenziD· 1 shared Hannah SchneideriD· 1 shared Harsimardeep Singh GilliD· 1 shared

Activity by Year

2024-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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Curved chords = mutual co-authorship

3 shared papersPlant Biology

Iván López-ValdiviaORCID

Mutual co-authors in cluster

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3 papers

Recent·Most cited

Ploidy alters root anatomy and shapes the evolution of wheat polyploids

Jagdeep Singh Sidhu, Harsimardeep Singh Gill, Samuel Walker, Harini Rangarajan, Iván López-Valdivia, Mandeep Singh, Ruairidh J. H. Sawers, Sunish K. Sehgal, Jonathan Paul Lynch

This study identifies ploidy-induced root anatomical changes in wheat that improved nutrient use efficiency and adaptation to Neolithic agroecosystems.

bioRxiv · Jul 11, 2025 · PreprintPlant Biology

In silico analysis of the evolution of root phenotypes during maize domestication in Neolithic soils of Tehuacan

Iván López-Valdivia, Miguel Vallebueno‐Estrada, Harini Rangarajan, Kelly Swarts, Bruce F. Benz, Michael Blake, Jagdeep Singh Sidhu, Sergio Pérez-Limón, Ruairidh J. H. Sawers, Hannah Schneider, Jonathan Paul Lynch

This study analyzes the evolution of root phenotypes in maize during domestication by linking ancient DNA, paleobotany, and modeling to environmental changes in Tehuacan Valley.

New Phytologist · May 30, 2025Peer-reviewedPlant Biology

Exploring yield stability and the fitness landscape of maize landrace root phenotypes in silico

Iván López-Valdivia, Harini Rangarajan, Miguel Vallebueno‐Estrada, Jonathan Paul Lynch

The paper uses computational modeling and machine learning to identify anatomical root phenotypes in maize landraces that enhance yield stability across environments.

bioRxiv · Sep 7, 2024 · PreprintPlant Biology