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Transcriptome-wide association analyses reveal the impact of regulatory variants on rice panicle architecture and causal gene regulatory networks

Agriculture

Transcriptome-wide association analyses reveal the impact of regulatory variants on rice panicle architecture and causal gene regulatory networks

L. Ming, D. Fu, et al.

This groundbreaking study by Luchang Ming and colleagues uncovers key insights into rice grain yield through the lens of panicle architecture. By analyzing the transcriptome of young rice panicles, the researchers identified thousands of genes linked to crucial panicle traits, revealing the genetic intricacies that govern spikelet count and overall performance in rice cultivation. Tune in to understand how this discovery could revolutionize agricultural practices!

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