arrow
Return

Spatial metatranscriptomics resolves host-bacteria-fungi interactomes

delete2023-11-20
delete29
delete
OA
AI
S
Sami Saarenpää
O
Or Shalev
H
Haim Ashkenazy
V
Vanessa Carlos
D
Derek S. Lundberg
D
Detlef Weigel
S
Stefania Giacomello *
DOI:10.1038/s41587-023-01979-2delete
deleteOriginal
deleteShare
deleteSave
View PDF
Abstract

Abstract

En 中文
The interactions of microorganisms among themselves and with their multicellular host take place at the microscale, forming complex networks and spatial patterns. Existing technology does not allow the simultaneous investigation of spatial interactions between a host and the multitude of its colonizing microorganisms, which limits our understanding of host-microorganism interactions within a plant or animal tissue. Here we present spatial metatranscriptomics (SmT), a sequencing-based approach that leverages 16S/18S/ITS/poly-d(T) multimodal arrays for simultaneous host transcriptome- and microbiome-wide characterization of tissues at 55-mu m resolution. We showcase SmT in outdoor-grown Arabidopsis thaliana leaves as a model system, and find tissue-scale bacterial and fungal hotspots. By network analysis, we study inter- and intrakingdom spatial interactions among microorganisms, as well as the host response to microbial hotspots. SmT provides an approach for answering fundamental questions on host-microbiome interplay. Interactions among plant hosts, bacteria and fungi are measured at high spatial resolution.
Keywords:
GENE-EXPRESSION
PLANT
RNA
REVEALS
MICROBIOTA
DEFENSE
SEQ
BIOGEOGRAPHY
RESPONSES
DISTINCT
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Nature Biotechnology cover
Nature Biotechnology
IF:
41.7
Papers:
1.2W
Citations:
10.1W

Organization

S
scilifelab
Scholars:
779
Papers: 413
Citations: 2
R
Royal Institute of Technology
Scholars:
1.8W
Papers: 1.8W
Citations: 25