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English: A framework for tailoring stable and effective synthetic microbial communities (SynComs) to enhance crop resiliency to environmental stresses. The selection of microbes in a culture collection is based on functional and empirical evidence, regardless of taxonomic classification. The rationale is driven by using both genome and microbial profiling data in the selection of key microbial candidates. Machine learning and artificial intelligence computational tools drive crucial steps in identifying microorganisms possessing traits for robust colonization, prevalence throughout plant development, and specific beneficial functions for plants. As a proof of concept for SynCom effectiveness, tools for plant phenotyping serve as an important diagnostic platform for measuring the impact of SynComs addressing the demand for both increased productivity and plant resiliency. The figure was prepared with the effective use of colors to help people with low visual acuity or color blindness.
Date
Source [1] doi:10.3389/fpls.2020.01179
Author Rafael Soares Correa de Souza, Jaderson Silveira Leite Armanhi and Paulo Arruda

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Synthetic microbial communities for enhancing crop resilience

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27 August 2020

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current07:37, 7 June 2021Thumbnail for version as of 07:37, 7 June 20213,839 × 1,715 (578 KB)EpipelagicUploaded a work by Rafael Soares Correa de Souza, Jaderson Silveira Leite Armanhi and Paulo Arruda from [https://www.frontiersin.org/articles/10.3389/fpls.2020.01179/full#:~:text=More%20recently%2C%20synthetic%20microbial%20communities,the%20microbiome%20in%20natural%20conditions.] {{doi|10.3389/fpls.2020.01179}} with UploadWizard

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