Author

R. Lozano

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Plant Biology· 3

Signature Assays, Organisms & Methods

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Research Focus:gene regulatory network inference· 2 Organism:plant (other)· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Approach:genetic perturbation / CRISPR· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

A. Leakey· 2 shared E. S. Buckler· 2 shared M. A. Gore· 2 shared R. Valluru· 2 shared S. Fernandes· 2 shared A. Atares· 1 shared A. Dmitrieva· 1 shared B. Garcia-Sogo· 1 shared

Activity by Year

2020-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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2 shared papersPlant Biology

A. Leakey

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

The Pivotal Involvement of the Respiratory burst oxidase G (SlRbohG) Gene in H2O2 Production Under Stress for Proper Na+ Homeostasis Regulation in Tomato

I. Egea, T. Barragan-Lozano, Y. Estrada, M. Jaquez-Gutierrez, F. A. Plasencia, A. Atares, B. Garcia-Sogo, C. Capel, F. J. Yuste-Lisbona, J. M. Egea-Sanchez, F. Borja-Flores, T. Angosto, V. Moreno, R. Lozano, B. Pineda

This study identifies SlRbohG as critical for salt tolerance in tomato by regulating H2O2 production and Na+ homeostasis through ROS signaling.

bioRxiv · Mar 12, 2024 · PreprintPlant Biology

Phenotyping stomatal closure by thermal imaging for GWAS and TWAS of water use efficiency-related genes

C. Pignon, S. Fernandes, R. Valluru, N. Bandillo, R. Lozano, E. S. Buckler, M. A. Gore, S. P. Long, P. J. Brown, A. Leakey

Rapid phenotyping of 659 Sorghum bicolor accessions revealed heritable stomatal responses to light decrease. GWAS/TWAS identified candidate genes influencing water-use efficiency traits.

bioRxiv · May 6, 2021Plant Biology

Machine learning enabled phenotyping for GWAS and TWAS of WUE traits in 869 field-grown sorghum accessions

J. Ferguson, S. Fernandes, B. Monier, N. D. Miller, D. Allan, A. Dmitrieva, P. Schmuker, R. Lozano, R. Valluru, E. S. Buckler, M. A. Gore, P. Brown, E. P. Spalding, A. Leakey

This study uses machine learning and phenotyping to identify 394 genes associated with water use efficiency traits in sorghum through GWAS and TWAS of 869 field-grown accessions.

bioRxiv · Nov 2, 2020Plant Biology