Takaki Yamauchi

As root elongation rates are different among each individual root, the distance from the root apices does not always reflect the age of root cells. Thus, methods for correcting variations in elongation rates are needed to accurately evaluate the root developmental process. Here, we show that modeling-based age-dependent analysis is effective for dissecting stepwise lateral root (LR) development in rice (Oryza sativa). First, we measured the increases in LR and LR primordium (LRP) numbers, diameters, and lengths in wild type and an auxin-signaling-defective mutant, which has a faster main (crown) root elongation rate caused by the mutation in the gene encoding AUXIN/INDOLE-3-ACETIC ACID protein 13 (IAA13). The longitudinal patterns of these parameters were fitted by the appropriate models and the age-dependent patterns were identified using the root elongation rates. As a result, we found that LR and LRP numbers and lengths were reduced in iaa13. We also found that the duration of the increases in LR and LRP diameters were prolonged in iaa13. Subsequent age-dependent comparisons with gene expression patterns suggest that AUXIN RESPONSE FACTOR11 (ARF11), the homolog of MONOPTEROS (MP)/ARF5 in Arabidopsis (Arabidopsis thaliana), is involved in the initiation and growth of LR(P). Indeed, the arf11 mutant showed a reduction of LR and LRP numbers and lengths. Our results also suggest that PINOID-dependent rootward-to-shootward shift of auxin flux contributes to the increase in LR and LRP diameters. Together, we propose that modeling-based age-dependent analysis is useful for root developmental studies by enabling accurate evaluation of root traits' expression.