An associative transcriptomics study on rice bean (Vigna umbellata) provides new insights into genetic basis and candidate genes governing flowering, maturity and seed weight
Tanmaya Kumar Sahu, Sachin Kumar Verma, C. Gayacharan, Nagendra Singh, Dinesh Chandra Joshi, Dhammaprakash Pandhari Wankhede, Mohar Singh, Rakesh Bhardwaj, Swarup Kumar Parida, Debasis Chattopadhyay, Gyanendra Pratap Singh, Amit Kumar Singh
The paper identifies candidate genes associated with flowering, maturity, and seed weight in rice bean using transcriptome sequencing and GWAS analysis.
bioRxiv · Feb 25, 2023 · PreprintBioinformatics