Cytological, transcriptome and miRNome temporal landscapes decode enhancement of rice grain size.

Arunima MahtoAntima YadavAswathi P VSwarup K ParidaAkhilesh K TyagiPinky Agarwal

Published in: BMC biology (2023)

Integration of all analyses concludes in a "Domino effect" model for GS regulation highlighting chronology and fruition of each event. This study delineates the essence of GS regulation, providing scope for future exploits. The rice grain development database (RGDD) ( www.nipgr.ac.in/RGDD/index.php ; https://doi.org/10.5281/zenodo.7762870 ) has been developed for easy access of data generated in this paper.

Keyphrases

electronic health record
gene expression
current status
single cell
rna seq
big data
machine learning
artificial intelligence