Engineering Synthetic Microbial Communities: Diversity and Applications in Soil for Plant Resilience DOI Creative Commons
Arneeb Tariq, Sheng-Zhi Guo, Fozia Farhat

et al.

Agronomy, Journal Year: 2025, Volume and Issue: 15(3), P. 513 - 513

Published: Feb. 20, 2025

Plants host a complex but taxonomically assembled set of microbes in their natural environment which confer several benefits to the plant including stress resilience, nutrient acquisition and increased productivity. To understand simplify intricate interactions among these microbes, an innovative approach—Synthetic Microbial Community (SynCom)—is practiced, involving intentional co-culturing multiple microbial taxa under well-defined conditions mimicking microbiomes. SynComs hold promising solutions issues confronted by modern agriculture stemming from climate change, limited resources land degradation. This review explores potential enhance growth, development disease resistance agricultural settings. Despite potential, effectiveness beneficial field applications has been inconsistent. Computational simulations, high-throughput sequencing utilization omics databases can bridge information gap, providing insights into ecological metabolic networks that govern plant–microbe interactions. Artificial intelligence-driven models predict interactions, while machine learning algorithms analyze vast datasets identify key functions. We also discuss barriers implementation technologies SynCom engineering. Future research should focus on refine strategies, ultimately contributing advancement green agriculture.

Language: Английский

Engineering Synthetic Microbial Communities: Diversity and Applications in Soil for Plant Resilience DOI Creative Commons
Arneeb Tariq, Sheng-Zhi Guo, Fozia Farhat

et al.

Agronomy, Journal Year: 2025, Volume and Issue: 15(3), P. 513 - 513

Published: Feb. 20, 2025

Plants host a complex but taxonomically assembled set of microbes in their natural environment which confer several benefits to the plant including stress resilience, nutrient acquisition and increased productivity. To understand simplify intricate interactions among these microbes, an innovative approach—Synthetic Microbial Community (SynCom)—is practiced, involving intentional co-culturing multiple microbial taxa under well-defined conditions mimicking microbiomes. SynComs hold promising solutions issues confronted by modern agriculture stemming from climate change, limited resources land degradation. This review explores potential enhance growth, development disease resistance agricultural settings. Despite potential, effectiveness beneficial field applications has been inconsistent. Computational simulations, high-throughput sequencing utilization omics databases can bridge information gap, providing insights into ecological metabolic networks that govern plant–microbe interactions. Artificial intelligence-driven models predict interactions, while machine learning algorithms analyze vast datasets identify key functions. We also discuss barriers implementation technologies SynCom engineering. Future research should focus on refine strategies, ultimately contributing advancement green agriculture.

Language: Английский

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