TY - JOUR
T1 - The Use of Synthetic Microbial Communities to Improve Plant Health
AU - Martins, Samuel J.
AU - Pasche, Josephine
AU - Silva, Hiago Antonio O.
AU - Selten, Gijs
AU - Savastano, Noah
AU - Abreu, Lucas Magalhães
AU - Bais, Harsh P.
AU - Garrett, Karen A.
AU - Kraisitudomsook, Nattapol
AU - Pieterse, Corné M.J.
AU - Cernava, Tomislav
N1 - Publisher Copyright:
© 2023 The American Phytopathological Society.
PY - 2023
Y1 - 2023
N2 - Despite the numerous benefits plants receive from probiotics, maintaining consistent results across applications is still a challenge. Cultivationindependent methods associated with reduced sequencing costs have considerably improved the overall understanding of microbial ecology in the plant environment. As a result, now, it is possible to engineer a consortium of microbes aiming for improved plant health. Such synthetic microbial communities (SynComs) contain carefully chosen microbial species to produce the desired microbiome function. Microbial biofilm formation, production of secondary metabolites, and ability to induce plant resistance are some of the microbial traits to consider when designing SynComs. Plant-associated microbial communities are not assembled randomly. Ecological theories suggest that these communities have a defined phylogenetic organization structured by general community assembly rules. Using machine learning, we can study these rules and target microbial functions that generate desired plant phenotypes. Well-structured assemblages are more likely to lead to a stable SynCom that thrives under environmental stressors as compared with the classical selection of single microbial activities or taxonomy. However, ensuring microbial colonization and long-term plant phenotype stability is still one of the challenges to overcome with SynComs, as the synthetic community may change over time with microbial horizontal gene transfer and retainedmutations.Here, we explored the advances made in SynCom research regarding plant health, focusing on bacteria, as they are the most dominant microbial form compared with other members of the microbiome and the most commonly found in SynCom studies.
AB - Despite the numerous benefits plants receive from probiotics, maintaining consistent results across applications is still a challenge. Cultivationindependent methods associated with reduced sequencing costs have considerably improved the overall understanding of microbial ecology in the plant environment. As a result, now, it is possible to engineer a consortium of microbes aiming for improved plant health. Such synthetic microbial communities (SynComs) contain carefully chosen microbial species to produce the desired microbiome function. Microbial biofilm formation, production of secondary metabolites, and ability to induce plant resistance are some of the microbial traits to consider when designing SynComs. Plant-associated microbial communities are not assembled randomly. Ecological theories suggest that these communities have a defined phylogenetic organization structured by general community assembly rules. Using machine learning, we can study these rules and target microbial functions that generate desired plant phenotypes. Well-structured assemblages are more likely to lead to a stable SynCom that thrives under environmental stressors as compared with the classical selection of single microbial activities or taxonomy. However, ensuring microbial colonization and long-term plant phenotype stability is still one of the challenges to overcome with SynComs, as the synthetic community may change over time with microbial horizontal gene transfer and retainedmutations.Here, we explored the advances made in SynCom research regarding plant health, focusing on bacteria, as they are the most dominant microbial form compared with other members of the microbiome and the most commonly found in SynCom studies.
KW - biofilm
KW - dysbiosis
KW - eubiosis
KW - food security
KW - induced systemic resistance (ISR)
KW - inoculants
KW - microbial volatile organic compounds (mVOCs)
KW - microbiome
KW - phytobiome
KW - plant growth promoting (PGP)
KW - plant-bacteria interaction
UR - http://www.scopus.com/inward/record.url?scp=85159307886&partnerID=8YFLogxK
U2 - 10.1094/PHYTO-01-23-0016-IA
DO - 10.1094/PHYTO-01-23-0016-IA
M3 - Review article
AN - SCOPUS:85159307886
SN - 0031-949X
VL - 113
SP - 1369
EP - 1379
JO - Phytopathology
JF - Phytopathology
IS - 8
ER -