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Pathways to engineering the phyllosphere microbiome for sustainable crop production.

Chengfang ZhanHaruna MatsumotoYufei LiuMengcen Wang
Published in: Nature food (2022)
Current disease resistance breeding, which is largely dependent on the exploitation of resistance genes in host plants, faces the serious challenges of rapidly evolving phytopathogens. The phyllosphere is the largest biological surface on Earth and an untapped reservoir of functional microbiomes. The phyllosphere microbiome has the potential to defend against plant diseases. However, the mechanisms of how the microbiota assemble and function in the phyllosphere remain largely elusive, and this restricts the exploitation of the targeted beneficial microbes in the field. Here we review the endogenous and exogenous cues impacting microbiota assembly in the phyllosphere and how the phyllosphere microbiota in turn facilitate the disease resistance of host plants. We further construct a holistic framework by integrating of holo-omics, genetic manipulation, culture-dependent characterization and emerging artificial intelligence techniques, such as deep learning, to engineer the phyllosphere microbiome for sustainable crop production.
Keyphrases
  • artificial intelligence
  • deep learning
  • climate change
  • big data
  • gene expression
  • drug delivery
  • dna methylation
  • single cell
  • convolutional neural network
  • human health
  • genome wide analysis