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Transcriptomic and Metabolomic Approaches Deepen Our Knowledge of Plant-Endophyte Interactions

期刊

FRONTIERS IN PLANT SCIENCE
卷 12, 期 -, 页码 -

出版社

FRONTIERS MEDIA SA
DOI: 10.3389/fpls.2021.700200

关键词

metabolome; plant-endophyte interaction; plant growth promotion (PGP); stress resistance; transcriptome

资金

  1. Major Science and Technology Projects of Breeding New Varieties of Agriculture in Zhejiang Province [2021C02074]
  2. National Natural Science Foundation of China [31600259]

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In natural systems, plant-symbiont-pathogen interactions have important effects on mitigating stresses in plants. Multi-omics technologies can be used to study plant-microbe interactions, particularly plant-endophyte interactions. Endophytes are naturally occurring microbes in plants that do not cause symptoms but provide benefits to their host plants. Understanding the complex mechanisms between plants and endophytes can be achieved through multi-omics approaches.
In natural systems, plant-symbiont-pathogen interactions play important roles in mitigating abiotic and biotic stresses in plants. Symbionts have their own special recognition ways, but they may share some similar characteristics with pathogens based on studies of model microbes and plants. Multi-omics technologies could be applied to study plant-microbe interactions, especially plant-endophyte interactions. Endophytes are naturally occurring microbes that inhabit plants, but do not cause apparent symptoms in them, and arise as an advantageous source of novel metabolites, agriculturally important promoters, and stress resisters in their host plants. Although biochemical, physiological, and molecular investigations have demonstrated that endophytes confer benefits to their hosts, especially in terms of promoting plant growth, increasing metabolic capabilities, and enhancing stress resistance, plant-endophyte interactions consist of complex mechanisms between the two symbionts. Further knowledge of these mechanisms may be gained by adopting a multi-omics approach. The involved interaction, which can range from colonization to protection against adverse conditions, has been investigated by transcriptomics and metabolomics. This review aims to provide effective means and ways of applying multi-omics studies to solve the current problems in the characterization of plant-microbe interactions, involving recognition and colonization. The obtained results should be useful for identifying the key determinants in such interactions and would also provide a timely theoretical and material basis for the study of interaction mechanisms and their applications.

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