Evidence map›Paper›PMID 28095877›Full record

ArticleMicrobiome2017

Deciphering composition and function of the root microbiome of a legume plant.

Kyle Hartman, Marcel Ga van der Heijden, Valexia Roussely-Provent, Jean-Claude Walser, Klaus Schlaeppi

Abstract read
In one paragraph

Article in Microbiome, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 89 papers.

0numbers the graph read from it
0cells of the map it votes in
89citing papers in PubMed
–field-weighted citation impact
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

89 citing papers in PubMed.

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29 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Kyle HartmanPlant-Soil Interactions, Agroscope, Institute for Sustainability Sciences, Reckenholzstrasse 191, CH-8046, Zürich, Switzerland.
Marcel Ga van der HeijdenPlant-Soil Interactions, Agroscope, Institute for Sustainability Sciences, Reckenholzstrasse 191, CH-8046, Zürich, Switzerland.
Valexia Roussely-ProventISARA-Lyon, Lyon, France.
Jean-Claude WalserGenetic Diversity Centre, ETH Zürich, Zürich, Switzerland.
Klaus SchlaeppiPlant-Soil Interactions, Agroscope, Institute for Sustainability Sciences, Reckenholzstrasse 191, CH-8046, Zürich, Switzerland. klaus.schlaeppi@agroscope.admin.ch.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiverse assemblages of microbes colonize plant roots and collectively function as a microbiome. Earlier work has characterized the root microbiomes of numerous plant species, but little information is available for legumes despite their key role in numerous ecosystems including agricultural systems. Legumes form a root nodule symbiosis with nitrogen-fixing Rhizobia bacteria and thereby account for large, natural nitrogen inputs into soils. Here, we describe the root bacteria microbiome of the legume Trifolium pratense combining culture-dependent and independent methods. For a functional understanding of individual microbiome members and their impact on plant growth, we began to inoculate root microbiome members alone or in combination to Trifolium roots.

resultsAt a whole-root scale, Rhizobia bacteria accounted for ~70% of the root microbiome. Other enriched members included bacteria from the genera Pantoea, Sphingomonas, Novosphingobium, and Pelomonas. We built a reference stock of 200 bacteria isolates, and we found that they corresponded to ~20% of the abundant root microbiome members. We developed a microcosm system to conduct simplified microbiota inoculation experiments with plants. We observed that while an abundant root microbiome member reduced plant growth when inoculated alone, this negative effect was alleviated if this Flavobacterium was co-inoculated with other root microbiome members.

conclusionsThe Trifolium root microbiome was dominated by nutrient-providing Rhizobia bacteria and enriched for bacteria from genera that may provide disease protection. First microbiota inoculation experiments indicated that individual community members can have plant growth compromising activities without being apparently pathogenic, and a more diverse root community can alleviate plant growth compromising activities of its individual members. A trait-based characterization of the reference stock bacteria will permit future microbiota manipulation experiments to decipher overall microbiome functioning and elucidate the biological mechanisms and interactions driving the observed effects. The presented reductionist experimental approach offers countless opportunities for future systematic and functional examinations of the plant root microbiome.

Indexed as

BacteriaBiodiversityDNA, BacterialDNA, RibosomalNitrogen FixationPhylogenyPlant RootsRhizobiumRNA, Ribosomal, 16SSequence Analysis, DNASymbiosisTrifoliumDNA, BacterialDNA, RibosomalRNA, Ribosomal, 16S16S rRNA sequencingCloverMicrobiomeMicrocosmRoot

Identifiers

PMID28095877
PMCPMC5240445

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LicenceCC BY
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Registered trials

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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.