The Plant CellPlant BiologyPeer-reviewed journal article
Spatial Transcriptomics Reveals Expression Gradients in Developing Wheat Inflorescences at Cellular Resolution
Katie LongiD, Ashleigh ListeriD, Maximillian R. W. JonesiD, Nikolai Maria AdamskiiD, Rob E. EllisiD, Carole ChedidiD, Sophie J. CarpenteriD, Xuemei LiuiD, Anna E. BackhausiD, Andrew J. GoldsoniD, Vanda KnitlhofferiD, Yuanrong PeiiD, Martin J. VickersiD, Burkhard SteuernageliD, Gemy KaithakottiliD, Jun Ying XiaoiD, Wilfried HaertyiD, Iain C. MacaulayiD, Cristóbal UauyiD
Abstract
The diversity of plant inflorescence architectures is specified by gene expression patterns. In wheat (Triticum aestivum), the lanceolate-shaped inflorescence (spike) is defined by rudimentary spikelets at the base which initiate first but subsequently lag in development compared with central spikelets. While previous studies identified gene expression differences between central and basal inflorescence sections, the spatio-temporal dynamics and gradients along the apical-basal axis remain poorly resolved due to bulk tissue-level techniques. Here, using spatial transcriptomics, we profiled 200 genes across four stages of wheat inflorescence development to cellular resolution. Cell segmentation and unsupervised clustering identified 18 expression domains and their enriched genes, revealing dynamic spatio-temporal organisation along the apical-basal axis of the inflorescence. Along this axis, we uncovered distinct and spatially coordinated gene expression gradients patterning meristems prior to the visible delay in basal spikelet development. This study demonstrates the potential for spatial transcriptomics time-series to advance plant developmental biology.
- organism: plant (other)
- assay: spatial transcriptomics
- research focus: development & morphogenesis
- approach: deep learning
- Citations
- 32
- FWCI
- 8.84
- Field percentile
- top 1%
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