title: Digital Single-Cell Analysis of Plant Organ Development Using 3DCellAtlas.
abstract: Diverse molecular networks underlying plant growth and development are rapidly being uncovered. Integrating these data into the spatial and temporal context of dynamic organ growth remains a technical challenge. We developed 3DCellAtlas, an integrative computational pipeline that semiautomatically identifies cell types and quantifies both 3D cellular anisotropy and reporter abundance at single-cell resolution across whole plant organs. Cell identification is no less than 97.8% accurate and does not require transgenic lineage markers or reference atlases. Cell positions within organs are defined using an internal indexing system generating cellular level organ atlases where data from multiple samples can be integrated. Using this approach, we quantified the organ-wide cell-type-specific 3D cellular anisotropy driving Arabidopsis thaliana hypocotyl elongation. The impact ethylene has on hypocotyl 3D cell anisotropy identified the preferential growth of endodermis in response to this hormone. The spatiotemporal dynamics of the endogenous DELLA protein RGA, expansin gene EXPA3, and cell expansion was quantified within distinct cell types of Arabidopsis roots. A significant regulatory relationship between RGA, EXPA3, and growth was present in the epidermis and endodermis. The use of single-cell analyses of plant development enables the dynamics of diverse regulatory networks to be integrated with 3D organ growth.
authors.affiliation: School of Mathematics, University of Birmingham, Birmingham B15 2TT, United Kingdom.
authors.forename: Thomas D
authors.initials: TD
authors.lastname: Montenegro-Johnson
authors.affiliation: School of Biosciences, University of Birmingham, Birmingham B15 2TT, United Kingdom.
authors.forename: Petra
authors.initials: P
authors.lastname: Stamm
authors.affiliation: Max Planck Institute for Plant Breeding Research, 50829 Cologne, Germany.
authors.forename: Soeren
authors.initials: S
authors.lastname: Strauss
authors.affiliation: School of Biosciences, University of Birmingham, Birmingham B15 2TT, United Kingdom.
authors.forename: Alexander T
authors.initials: AT
authors.lastname: Topham
authors.affiliation: University of Nottingham, Division of Statistics, School of Mathematical Sciences, Nottingham NG7 2RD, United Kingdom.
authors.forename: Michail
authors.initials: M
authors.lastname: Tsagris
authors.affiliation: University of Nottingham, Division of Statistics, School of Mathematical Sciences, Nottingham NG7 2RD, United Kingdom.
authors.forename: Andrew T A
authors.initials: AT
authors.lastname: Wood
authors.affiliation: Max Planck Institute for Plant Breeding Research, 50829 Cologne, Germany.
authors.forename: Richard S
authors.initials: RS
authors.lastname: Smith
authors.affiliation: School of Biosciences, University of Birmingham, Birmingham B15 2TT, United Kingdom g.w.bassel@bham.ac.uk.
authors.forename: George W
authors.initials: GW
authors.lastname: Bassel
mesh_terms: D017360:Arabidopsis / Q000254:growth & development / Q000378:metabolism; D019295:Computational Biology / Q000379:methods*; D018546:Hypocotyl / Q000254:growth & development / Q000378:metabolism; D063246:Organogenesis, Plant / Q000235:genetics / Q000502:physiology; D018517:Plant Roots / Q000254:growth & development / Q000378:metabolism; D059010:Single-Cell Analysis / Q000379:methods*