Automated Author Profile

Jiménez-Gómez, José M.

University of California, Davis

Current S-Index

2.0

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

2.0

Average Dataset Index per dataset

Total Datasets

1

Total datasets for this author

Average FAIR Score

76.9%

Average FAIR Score per dataset

Total Citations

1

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Data from: A quantitative genetic basis for leaf morphology in a set of precisely defined tomato introgression lines (Version: 1)

Introgression lines (ILs), in which genetic material from wild tomato species is introgressed into a domesticated background, have been used extensively in tomato (Solanum lycopersicum) improvement. Here, we genotype an IL population derived from the wild desert tomato Solanum pennellii at ultrahigh density, providing the exact gene content harbored by each line. To take advantage of this information, we determine IL phenotypes for a suite of vegetative traits, ranging from leaf complexity, shape, and size to cellular traits, such as stomatal density and epidermal cell phenotypes. Elliptical Fourier descriptors on leaflet outlines provide a global analysis of highly heritable, intricate aspects of leaf morphology. We also demonstrate constraints between leaflet size and leaf complexity, pavement cell size, and stomatal density and show independent segregation of traits previously assumed to be genetically coregulated. Meta-analysis of previously measured traits in the ILs shows an unexpected relationship between leaf morphology and fruit sugar levels, which RNA-Seq data suggest may be attributable to genetically coregulated changes in fruit morphology or the impact of leaf shape on photosynthesis. Together, our results both improve upon the utility of an important genetic resource and attest to a complex, genetic basis for differences in leaf morphology between natural populations.

Authors

  • Chitwood, Daniel H. ;
  • Kumar, Ravi ;
  • Headland, Lauren R. ;
  • Ranjan, Aashish ;
  • Covington, Michael F. ;
  • Ichihashi, Yasunori ;
  • Fulop, Daniel ;
  • Jiménez-Gómez, José M. ;
  • Peng, Jie ;
  • Maloof, Julin N. ;
  • Sinha, Neelima R.
1 Citation0 Mentions77% FAIR2.0 Dataset Index
10.5061/dryad.rm5v5July 2013