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Unraveling plant-microbe symbioses using single-cell and spatial transcriptomics.
Serrano, Karen; Tedeschi, Francesca; Andersen, Stig U; Scheller, Henrik V.
Affiliation
  • Serrano K; Department of Plant and Microbial Biology, University of California, Berkeley, Berkeley, CA 94720, USA; DOE Joint BioEnergy Institute, 5885 Hollis Street, Emeryville, CA 94608, USA; Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley
  • Tedeschi F; Department of Molecular Biology and Genetics, Aarhus University, Universitetsbyen 81, DK-8000 Aarhus C, Denmark.
  • Andersen SU; Department of Molecular Biology and Genetics, Aarhus University, Universitetsbyen 81, DK-8000 Aarhus C, Denmark. Electronic address: sua@mbg.au.dk.
  • Scheller HV; Department of Plant and Microbial Biology, University of California, Berkeley, Berkeley, CA 94720, USA; DOE Joint BioEnergy Institute, 5885 Hollis Street, Emeryville, CA 94608, USA; Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley
Trends Plant Sci ; 2024 Jul 10.
Article in En | MEDLINE | ID: mdl-38991926
ABSTRACT
Plant-microbe symbioses require intense interaction and genetic coordination to successfully establish in specific cell types of the host and symbiont. Traditional RNA-seq methodologies lack the cellular resolution to fully capture these complexities, but single-cell and spatial transcriptomics (ST) are now allowing scientists to probe symbiotic interactions at an unprecedented level of detail. Here, we discuss the advantages that novel spatial and single-cell transcriptomic technologies provide in studying plant-microbe endosymbioses and highlight key recent studies. Finally, we consider the remaining limitations of applying these approaches to symbiosis research, which are mainly related to the simultaneous capture of both plant and microbial transcripts within the same cells.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Trends Plant Sci Year: 2024 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Trends Plant Sci Year: 2024 Document type: Article