Streamlined spatial and environmental expression signatures characterize the minimalist duckweedWolffia australiana

Author:

Denyer Tom,Wu Pin-Jou,Colt Kelly,Abramson Bradley W.,Pang Zhili,Solansky Pavel,Mamerto Allen,Nobori Tatsuya,Ecker Joseph R.,Lam Eric,Michael Todd P.ORCID,Timmermans Marja C.P.ORCID

Abstract

Single-cell genomics permits a new resolution in the examination of molecular and cellular dynamics, allowing global, parallel assessments of cell types and cellular behaviors through development and in response to environmental circumstances, such as interaction with water and the light–dark cycle of the Earth. Here, we leverage the smallest, and possibly most structurally reduced, plant, the semiaquaticWolffia australiana, to understand dynamics of cell expression in these contexts at the whole-plant level. We examined single-cell-resolution RNA-sequencing data and foundWolffiacells divide into four principal clusters representing the above- and below-water-situated parenchyma and epidermis. Although these tissues share transcriptomic similarity with model plants, they display distinct adaptations thatWolffiahas made for the aquatic environment. Within this broad classification, discrete subspecializations are evident, with select cells showing unique transcriptomic signatures associated with developmental maturation and specialized physiologies. Assessing this simplified biological system temporally at two key time-of-day (TOD) transitions, we identify additional TOD-responsive genes previously overlooked in whole-plant transcriptomic approaches and demonstrate that the core circadian clock machinery and its downstream responses can vary in cell-specific manners, even in this simplified system. Distinctions between cell types and their responses to submergence and/or TOD are driven by expression changes of unexpectedly few genes, characterizingWolffiaas a highly streamlined organism with the majority of genes dedicated to fundamental cellular processes.Wolffiaprovides a unique opportunity to apply reductionist biology to elucidate signaling functions at the organismal level, for which this work provides a powerful resource.

Funder

Alexander von Humboldt Foundation

Tang Fund

Max Planck Society

U.S. Department of Energy, Office of Biological and Environmental Research

New Jersey Agricultural Experiment Station at Rutgers University

National Institutes of Health

National Cancer Institute, Cancer Center Support Grants

National Institute on Aging, San Diego Nathan Shock Center

Waitt Foundation

Publisher

Cold Spring Harbor Laboratory

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