4.8 Article

Spatially resolved transcriptomic analysis of the germinating barley grain

Journal

NUCLEIC ACIDS RESEARCH
Volume -, Issue -, Pages -

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/nar/gkad521

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A spatial transcriptomics workflow was developed for studying gene expression during barley grain germination, revealing specific spatial expression patterns of functional gene categories. Over 14,000 genes were differentially regulated within the first 24 hours after imbibition, with certain genes showing focused expression within subdomains of the embryo over time, suggesting their role in establishing the embryo axis.
Seeds are a vital source of calories for humans and a unique stage in the life cycle of flowering plants. During seed germination, the embryo undergoes major developmental transitions to become a seedling. Studying gene expression in individual seed cell types has been challenging due to the lack of spatial information or low throughput of existing methods. To overcome these limitations, a spatial transcriptomics workflow was developed for germinating barley grain. This approach enabled high-throughput analysis of spatial gene expression, revealing specific spatial expression patterns of various functional gene categories at a sub-tissue level. This study revealed over 14 000 genes differentially regulated during the first 24 h after imbibition. Individual genes, such as the aquaporin gene family, starch degradation, cell wall modification, transport processes, ribosomal proteins and transcription factors, were found to have specific spatial expression patterns over time. Using spatial autocorrelation algorithms, we identified auxin transport genes that had increasingly focused expression within subdomains of the embryo over time, suggesting their role in establishing the embryo axis. Overall, our study provides an unprecedented spatially resolved cellular map for barley germination and identifies specific functional genomics targets to better understand cellular restricted processes during germination. The data can be viewed at https://spatial.latrobe.edu.au/.

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