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The microbiome as a biosensor: functional profiles elucidate hidden stress in hosts

BACKGROUND: Microbial communities are highly responsive to environmental cues, and both their structure and activity can be altered in response to changing conditions. We hypothesized that host-associated microbial communities, particularly those colonizing host surfaces, can serve as in situ sensor...

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Autores principales: Zolti, Avihai, Green, Stefan J., Sela, Noa, Hadar, Yitzhak, Minz, Dror
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7243336/
https://www.ncbi.nlm.nih.gov/pubmed/32438915
http://dx.doi.org/10.1186/s40168-020-00850-9
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author Zolti, Avihai
Green, Stefan J.
Sela, Noa
Hadar, Yitzhak
Minz, Dror
author_facet Zolti, Avihai
Green, Stefan J.
Sela, Noa
Hadar, Yitzhak
Minz, Dror
author_sort Zolti, Avihai
collection PubMed
description BACKGROUND: Microbial communities are highly responsive to environmental cues, and both their structure and activity can be altered in response to changing conditions. We hypothesized that host-associated microbial communities, particularly those colonizing host surfaces, can serve as in situ sensors to reveal environmental conditions experienced by both microorganisms and the host. For a proof-of-concept, we studied a model plant-soil system and employed a non-deterministic gene-centric approach. A holistic analysis was performed using plants of two species and irrigation with water of low quality to induce host stress. Our analyses examined the genetic potential (DNA) and gene expression patterns (RNA) of plant-associated microbial communities, as well as transcriptional profiling of host plants. RESULTS: Transcriptional analysis of plants irrigated with treated wastewater revealed significant enrichment of general stress-associated root transcripts relative to plants irrigated with fresh water. Metagenomic analysis of root-associated microbial communities in treated wastewater-irrigated plants, however, revealed enrichment of more specific stress-associated genes relating to high levels of salt, high pH and lower levels of oxygen. Meta-analysis of these differentially abundant genes obtained from other metagenome studies, provided evidence of the link between environmental factors such as pH and oxygen and these genes. Analysis of microbial transcriptional response demonstrated that enriched gene content was actively expressed, which implies contemporary response to elevated levels of pH and salt. CONCLUSIONS: We demonstrate here that microbial profiling can elucidate stress signals that cannot be observed even through interrogation of host transcriptome, leading to an alternate mechanism for evaluating in situ conditions experienced by host organisms. This study is a proof-of-concept for the use of microbial communities as microsensors, with great potential for interrogation of a wide range of host systems.
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spelling pubmed-72433362020-05-29 The microbiome as a biosensor: functional profiles elucidate hidden stress in hosts Zolti, Avihai Green, Stefan J. Sela, Noa Hadar, Yitzhak Minz, Dror Microbiome Research BACKGROUND: Microbial communities are highly responsive to environmental cues, and both their structure and activity can be altered in response to changing conditions. We hypothesized that host-associated microbial communities, particularly those colonizing host surfaces, can serve as in situ sensors to reveal environmental conditions experienced by both microorganisms and the host. For a proof-of-concept, we studied a model plant-soil system and employed a non-deterministic gene-centric approach. A holistic analysis was performed using plants of two species and irrigation with water of low quality to induce host stress. Our analyses examined the genetic potential (DNA) and gene expression patterns (RNA) of plant-associated microbial communities, as well as transcriptional profiling of host plants. RESULTS: Transcriptional analysis of plants irrigated with treated wastewater revealed significant enrichment of general stress-associated root transcripts relative to plants irrigated with fresh water. Metagenomic analysis of root-associated microbial communities in treated wastewater-irrigated plants, however, revealed enrichment of more specific stress-associated genes relating to high levels of salt, high pH and lower levels of oxygen. Meta-analysis of these differentially abundant genes obtained from other metagenome studies, provided evidence of the link between environmental factors such as pH and oxygen and these genes. Analysis of microbial transcriptional response demonstrated that enriched gene content was actively expressed, which implies contemporary response to elevated levels of pH and salt. CONCLUSIONS: We demonstrate here that microbial profiling can elucidate stress signals that cannot be observed even through interrogation of host transcriptome, leading to an alternate mechanism for evaluating in situ conditions experienced by host organisms. This study is a proof-of-concept for the use of microbial communities as microsensors, with great potential for interrogation of a wide range of host systems. BioMed Central 2020-05-21 /pmc/articles/PMC7243336/ /pubmed/32438915 http://dx.doi.org/10.1186/s40168-020-00850-9 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Zolti, Avihai
Green, Stefan J.
Sela, Noa
Hadar, Yitzhak
Minz, Dror
The microbiome as a biosensor: functional profiles elucidate hidden stress in hosts
title The microbiome as a biosensor: functional profiles elucidate hidden stress in hosts
title_full The microbiome as a biosensor: functional profiles elucidate hidden stress in hosts
title_fullStr The microbiome as a biosensor: functional profiles elucidate hidden stress in hosts
title_full_unstemmed The microbiome as a biosensor: functional profiles elucidate hidden stress in hosts
title_short The microbiome as a biosensor: functional profiles elucidate hidden stress in hosts
title_sort microbiome as a biosensor: functional profiles elucidate hidden stress in hosts
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7243336/
https://www.ncbi.nlm.nih.gov/pubmed/32438915
http://dx.doi.org/10.1186/s40168-020-00850-9
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