Evidence map›Paper›PMID 29941552›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2018

Large-scale replicated field study of maize rhizosphere identifies heritable microbes.

William A Walters, Zhao Jin, Nicholas Youngblut, Jason G Wallace, Jessica Sutter, Wei Zhang, Antonio González-Peña, Jason Peiffer, Omry Koren, Qiaojuan Shi and 6 more

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 239 papers.

0numbers the graph read from it
0cells of the map it votes in
239citing 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

239 citing papers in PubMed.

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179 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

16 authors.

William A WaltersDepartment of Microbiome Science, Max Planck Institute for Developmental Biology, 72076 Tübingen, Germany.
Zhao JinDepartment of Molecular Biology and Genetics, Cornell University, Ithaca, NY 14853.
Nicholas YoungblutDepartment of Microbiome Science, Max Planck Institute for Developmental Biology, 72076 Tübingen, Germany.
Jason G WallaceDepartment of Crop & Soil Sciences, University of Georgia, Athens, GA 30602.
Jessica SutterDepartment of Microbiome Science, Max Planck Institute for Developmental Biology, 72076 Tübingen, Germany.
Wei ZhangDepartment of Molecular Biology and Genetics, Cornell University, Ithaca, NY 14853.
Antonio González-PeñaDepartment of Pediatrics, University of California, San Diego, La Jolla, CA 92093.
Jason PeifferPlant Breeding and Genetics Section, School of Integrative Plant Science, Cornell University, Ithaca, NY 14853.
Omry KorenDepartment of Molecular Biology and Genetics, Cornell University, Ithaca, NY 14853.ORCID 0000-0002-7738-1337
Qiaojuan ShiDepartment of Molecular Biology and Genetics, Cornell University, Ithaca, NY 14853.
Rob KnightDepartment of Crop & Soil Sciences, University of Georgia, Athens, GA 30602.
Tijana Glavina Del RioDepartment of Energy Joint Genome Institute, Walnut Creek, CA 94598.
Susannah G TringeDepartment of Energy Joint Genome Institute, Walnut Creek, CA 94598.ORCID 0000-0001-6479-8427
Edward S BucklerPlant, Soil and Nutrition Research, United States Department of Agriculture - Agricultural Research Service, Ithaca, NY 14853.ORCID 0000-0002-3100-371X
Jeffery L DanglHoward Hughes Medical Institute, University of North Carolina at Chapel Hill, Chapel Hill, NC 27514.
Ruth E LeyDepartment of Microbiome Science, Max Planck Institute for Developmental Biology, 72076 Tübingen, Germany; rley@tuebingen.mpg.de.

Funding

Howard Hughes Medical Institute
6 · The paper itself

Abstract

Soil microbes that colonize plant roots and are responsive to differences in plant genotype remain to be ascertained for agronomically important crops. From a very large-scale longitudinal field study of 27 maize inbred lines planted in three fields, with partial replication 5 y later, we identify root-associated microbiota exhibiting reproducible associations with plant genotype. Analysis of 4,866 samples identified 143 operational taxonomic units (OTUs) whose variation in relative abundances across the samples was significantly regulated by plant genotype, and included five of seven core OTUs present in all samples. Plant genetic effects were significant amid the large effects of plant age on the rhizosphere microbiome, regardless of the specific community of each field, and despite microbiome responses to climate events. Seasonal patterns showed that the plant root microbiome is locally seeded, changes with plant growth, and responds to weather events. However, against this background of variation, specific taxa responded to differences in host genotype. If shown to have beneficial functions, microbes may be considered candidate traits for selective breeding.

Indexed as

InbreedingRhizosphereGenotypeMicrobiotaPlant RootsZea maysfield studyheritabilitymaizerhizospheresoil microbiome

Identifiers

PMID29941552
PMCPMC6048482

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.