New PhytologistPlant BiologyPeer-reviewed journal article
MLO-mediated Ca2+ influx regulates root hair tip growth in Arabidopsis
Sienna T. OgawaiD, Weiwei ZhangiD, Christopher J. StaigeriD, Sharon A. KessleriD
Abstract
O_LIRoot hair tip-growth involves coordinated Ca2+ and ROS signaling to promote growth while maintaining tip integrity. MILDEW RESISTANCE LOCUS-O (MLO) proteins act downstream of FERONIA (FER) receptor-like kinases in pollen tubes and synergids to regulate calcium dynamics. This study uses a constitutively active MLO (faNTA) to identify a new role for the FER/MLO signaling module in regulating [Ca2+]cyt oscillations in growing root hairs. C_LIO_LIfaNTA bypasses FER signaling in root hairs, complementing not only the previously reported fer-4 root hair bursting phenotype, but also the complete loss of polarity in spherical root hairs. This complementation correlates with the restoration of tip-focused [Ca2+]cyt oscillations that are disrupted in fer mutants, suggesting that MLOs are involved in regulating [Ca2+]cyt dynamics in growing root hairs. C_LIO_LIMLO15 was identified as a regulator of root hair tip-growth based on disrupted root hair growth and [Ca2+]cyt signatures in mlo15-4. We also link the FER/MLO module to ROS accumulation by showing that faNTA is sufficient to restore ROS levels in fer-4 root hairs and that ROS levels are decreased in mlo15-4 root hairs. C_LIO_LIWe propose that MLOs act downstream of FER to mediate Ca2+ influx and promote ROS production in order to regulate root hair tip-growth. C_LI Plain Language SummaryRoot hairs are important for expanding the surface area of the root for optimal absorption of water and minerals. A FERONIA/MLO signal module promotes tip growth in these specialized cells by regulating calcium and reactive oxygen species accumulation. Understanding tip growth mechanisms may help optimize root responses to environmental challenges.
- organism: Arabidopsis
- assay: proteomics
- assay: metagenomics
- research focus: cell type annotation
- research focus: differential expression
- research focus: gene regulatory network inference
- approach: experimental assay
- Citations
- 13
- FWCI
- 3.89
- Field percentile
- top 5%
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