TY - JOUR
T1 - A pan-grass transcriptome reveals patterns of cellular divergence in crops
AU - Guillotin, Bruno
AU - Rahni, Ramin
AU - Passalacqua, Michael
AU - Mohammed, Mohammed Ateequr
AU - Xu, Xiaosa
AU - Raju, Sunil Kenchanmane
AU - Ramírez, Carlos Ortiz
AU - Jackson, David
AU - Groen, Simon C.
AU - Gillis, Jesse
AU - Birnbaum, Kenneth D.
N1 - Funding Information:
The authors thank M. Purugganan and G. Coruzzi for helpful comments. This work was funded by National Science Foundation (IOS-1934388) to K.D.B., D.J. and J.G., the National Institutes of Health (R35GM136362) to K.D.B., Human Frontiers of Science (LT000972/2018-L) to B.G. and startup funds from the University of California Riverside to S.C.G. In addition, M.P. is funded by the William Randolph Hearst Scholarship from the School of Biological Sciences. J.G. is also supported by the National Institutes of Health (R01 LM012736 and R01 MH113005).
Publisher Copyright:
© 2023, The Author(s), under exclusive licence to Springer Nature Limited.
PY - 2023/5/25
Y1 - 2023/5/25
N2 - Different plant species within the grasses were parallel targets of domestication, giving rise to crops with distinct evolutionary histories and traits1. Key traits that distinguish these species are mediated by specialized cell types2. Here we compare the transcriptomes of root cells in three grass species—Zea mays, Sorghum bicolor and Setaria viridis. We show that single-cell and single-nucleus RNA sequencing provide complementary readouts of cell identity in dicots and monocots, warranting a combined analysis. Cell types were mapped across species to identify robust, orthologous marker genes. The comparative cellular analysis shows that the transcriptomes of some cell types diverged more rapidly than those of others—driven, in part, by recruitment of gene modules from other cell types. The data also show that a recent whole-genome duplication provides a rich source of new, highly localized gene expression domains that favour fast-evolving cell types. Together, the cell-by-cell comparative analysis shows how fine-scale cellular profiling can extract conserved modules from a pan transcriptome and provide insight on the evolution of cells that mediate key functions in crops.
AB - Different plant species within the grasses were parallel targets of domestication, giving rise to crops with distinct evolutionary histories and traits1. Key traits that distinguish these species are mediated by specialized cell types2. Here we compare the transcriptomes of root cells in three grass species—Zea mays, Sorghum bicolor and Setaria viridis. We show that single-cell and single-nucleus RNA sequencing provide complementary readouts of cell identity in dicots and monocots, warranting a combined analysis. Cell types were mapped across species to identify robust, orthologous marker genes. The comparative cellular analysis shows that the transcriptomes of some cell types diverged more rapidly than those of others—driven, in part, by recruitment of gene modules from other cell types. The data also show that a recent whole-genome duplication provides a rich source of new, highly localized gene expression domains that favour fast-evolving cell types. Together, the cell-by-cell comparative analysis shows how fine-scale cellular profiling can extract conserved modules from a pan transcriptome and provide insight on the evolution of cells that mediate key functions in crops.
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U2 - 10.1038/s41586-023-06053-0
DO - 10.1038/s41586-023-06053-0
M3 - Article
C2 - 37165193
AN - SCOPUS:85159133095
SN - 0028-0836
VL - 617
SP - 785
EP - 791
JO - Nature
JF - Nature
IS - 7962
ER -