Evidence map›Paper›PMID 32438915›Full record

ArticleMicrobiome2020

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

Avihai Zolti, Stefan J Green, Noa Sela, Yitzhak Hadar, Dror Minz

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Microbiome, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
4.8field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 39 citations in OpenAlex.

  1. Computational function prediction of bacteria and phage proteins.Microbiology and molecular biology reviews : MMBR · 2025
    Review
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  3. The Effect ofJournal of neurogastroenterology and motility · 2024
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 2 countries.

Avihai ZoltiDepartment of Plant Pathology and Microbiology, Robert H. Smith Faculty of Agriculture, Food and Environment, The Hebrew University of Jerusalem, 76100, Rehovot, Israel.
Stefan J GreenSequencing Core, Research Resources Center, University of Illinois at Chicago, Chicago, IL, USA.
Noa SelaInstitute of Soil, Water and Environmental Sciences, Agricultural Research Organization-Volcani Center, 7528809, Rishon Lezion, Israel.
Yitzhak HadarDepartment of Plant Pathology and Microbiology, Robert H. Smith Faculty of Agriculture, Food and Environment, The Hebrew University of Jerusalem, 76100, Rehovot, Israel.
Dror MinzInstitute of Soil, Water and Environmental Sciences, Agricultural Research Organization-Volcani Center, 7528809, Rishon Lezion, Israel. minz@volcani.agri.gov.il.ORCID 0000-0001-6746-9151
Agricultural Research Organization · ILHebrew University of Jerusalem · ILUniversity of Illinois Chicago · US

Funding

Ministry of Agriculture and Rural Development (IL) 821-0142-13United States - Israel Binational Agricultural Research and Development Fund IS- 4662-13USAID-MERK M34-011
6 · The paper itself

Abstract

backgroundMicrobial 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.

resultsTranscriptional 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.

conclusionsWe 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. Video Abstract.

Indexed as

Biosensing TechniquesHost Microbial InteractionsMicrobiotaPlant RootsStress, PhysiologicalMetagenomicsSoil MicrobiologyBiosensorHost microbe interactionMicrobiomePlant microbe interaction

Identifiers

PMID32438915
PMCPMC7243336
OpenAlexW3026181871

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.