OpenAlex:
Artificial Intelligence in Plant Sciences
OpenAlex:
Artificial Intelligence in Plant Sciences
OpenAlex:
sRNA_seq_clean_thrips_leafdiscs_timeseries
OpenAlex:
sRNA_seq_clean_thrips_leafdiscs_timeseries
OpenAlex:
Color phenotyping and genome-wide association studies of ...
OpenAlex:
FUNCTIONAL STUDIES ON SIEVE ELEMENT-SPECIFIC PROTEINS
OpenAlex:
Understanding the control of perpetual flowering and cont...
OpenAlex:
Nuclear dynamics in Sclerotinia sclerotiorum
OpenAlex:
Artificial Intelligence in Plant Sciences
OpenAlex:
Artificial Intelligence in Plant Sciences
OpenAlex:
sRNA_seq_clean_thrips_leafdiscs_timeseries
OpenAlex:
sRNA_seq_clean_thrips_leafdiscs_timeseries
Fine-tuning quantitative agronomic traits by manipulating gene copy number in rice.
PubMed · 2026-05-13
Scientists precisely controlled how many copies of a single gene a rice plant carries, and found that more copies meant incrementally better crop traits — offering a new way to fine-tune yield and quality without random mutation.
1
Rice lines were engineered to carry 1, 2, or 3 tandem copies of the OsMADS18 gene using CRISPR/Cas9 gene editing.
2
Each additional gene copy produced a stepwise increase in gene activity (transcript levels), confirming a direct dose-response relationship.
3
Higher gene copy numbers correlated with measurable improvements in quantitative agronomic traits, demonstrating copy number as a tunable breeding lever.