Author

R. V. Mural

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· 8

Signature Assays, Organisms & Methods

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Approach:statistical model· 7 Research Focus:gene regulatory network inference· 5 Research Focus:GWAS / association mapping· 4 Organism:plant (other)· 4 Assay:whole-genome sequencing· 3 Organism:zebrafish· 3 Assay:bulk RNA-seq· 2 Assay:GWAS summary statistics· 2

Frequent Co-Authors

J. C. Schnable· 7 shared G. Sun· 3 shared H. M. Dias· 3 shared M. Grzybowski· 3 shared A. M. Thompson· 2 shared J. Turkus· 2 shared L. Newton· 2 shared M. W. Grzybowski· 2 shared

Activity by Year

2020-2023 · peak 4/yr

Co-Author Collaboration Network

10 top collaborators · 26 mutual co-author links

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7 shared papersPlant Biology

J. C. Schnable

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8 papers

Recent·Most cited

Population level gene expression can repeatedly link genes to functions in maize

J. V. Torres-Rodriguez, D. Li, J. Turkus, L. Newton, J. Davis, L. Lopez-Corona, W. Ali, G. Sun, R. V. Mural, M. W. Grzybowski, A. M. Thompson, J. C. Schnable

This study uses transcriptome-wide association studies in maize to identify flowering time genes, finding TWAS detects more genes than GWAS and links gene expression to function across tissues and environments.

bioRxiv · Oct 31, 2023 · PreprintPlant Biology

Comprehensive analysis of the Aquaporin genes in Eucalyptus grandis suggests potential targets for drought stress tolerance

D. S. Seidel, P. H. Claudino, G. Sperotto, S. N. Wendt, Z. D. Shomo, R. V. Mural, H. M. Dias

This study identifies and characterizes 53 AQP genes in Eucalyptus grandis, revealing their genomic structure, expression patterns, and responses to drought stress.

bioRxiv · Oct 29, 2023 · PreprintPlant Biology

THI1 Gene Evolutionary Trends: A Comprehensive Plant-Focused Assessment via Data Mining and Large-Scale Analysis

H. M. Dias, N. d. A. Toledo, R. V. Mural, J. C. Schnable, M.-A. Van Sluys

The paper analyzes the evolutionary trends of the THI1 gene across 702 homologs in Archaea and Eukarya, with a focus on plants, revealing conservation patterns and regulatory mechanisms.

bioRxiv · Oct 12, 2023 · PreprintPlant Biology

Comparative GWAS identifies a role for Mendel green pea gene in the nonphotochemical quenching kinetics of sorghum, maize, and arabidopsis

S. Sahay, N. Shrestha, H. M. Dias, R. V. Mural, M. Grzybowski, J. C. Schnable, K. Glowacka

This study uses comparative GWAS to identify genes influencing NPQ kinetics in sorghum, maize, and Arabidopsis, revealing a Mendelian gene involved in pigment degradation.

bioRxiv · Aug 29, 2023 · PreprintPlant Biology

A Common Resequencing-Based Genetic Marker Dataset for Global Maize Diversity

M. W. Grzybowski, R. V. Mural, G. Xu, J. Turkus, J. Yang, J. C. Schnable

The paper creates a unified genetic marker dataset from maize resequencing data to enhance the analysis of genetic diversity and functional allele frequency changes.

bioRxiv · Oct 28, 2022Plant Biology

Association Mapping Across a Multitude of Traits Collected in Diverse Environments Identifies Pleiotropic Loci in Maize.

R. V. Mural, G. Sun, M. Grzybowski, M. C. Tross, H. Jin, C. Smith, L. Newton, C. M. Andorf, M. R. Woodhouse, A. M. Thompson, B. V. Sigmon, J. C. Schnable

This study identifies pleiotropic loci in maize by analyzing trait associations across diverse environments using high-density genetic markers and resampling-based genome-wide association tests.

bioRxiv · Feb 25, 2022 · PreprintPlant Biology

Quantitative resistance loci to southern rust mapped in a temperate maize diversity panel

G. Sun, R. V. Mural, J. D. Turkus, J. C. Schnable

The paper maps quantitative resistance loci to southern rust in a temperate maize diversity panel using genome-wide association studies and transcriptome-wide association studies.

bioRxiv · Apr 2, 2021Plant Biology

Meta-Analysis Identifies Pleiotropic Loci Controlling Phenotypic Trade-offs in Sorghum

R. V. Mural, M. Grzybowski, C. Miao, A. Damke, S. Sapkota, R. E. Boyles, M. G. Salas Fernandez, P. S. Schnable, B. Sigmon, S. Kresovich, J. C. Schnable

The paper uses existing trait datasets from a sorghum population to identify pleiotropic loci through multivariate analysis, revealing new insights into phenotypic trade-offs.

bioRxiv · Oct 27, 2020Plant Biology