Evidence map›Paper›PMID 34879068›Full record

ArticlePloS one2021

Deciphering the microbial and molecular responses of geographically diverse Setaria accessions grown in a nutrient-poor soil.

Matthew J Peterson, Pubudu P Handakumbura, Allison M Thompson, Zachary R Russell, Young-Mo Kim, Sarah J Fansler, Montana L Smith, Jason G Toyoda, Rosey K Chu, Bryan A Stanfill and 5 more

Abstract readComparative Study
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

15 authors.

Matthew J PetersonEnvironmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington, United States of America.
Pubudu P HandakumburaEnvironmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington, United States of America.
Allison M ThompsonEnvironmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington, United States of America.
Zachary R RussellEnvironmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington, United States of America.
Young-Mo KimBiological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington, United States of America.
Sarah J FanslerBiological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington, United States of America.
Montana L SmithEnvironmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington, United States of America.
Jason G ToyodaEnvironmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington, United States of America.
Rosey K ChuEnvironmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington, United States of America.
Bryan A StanfillApplied Statistics and Computational Modeling, Pacific Northwest National Laboratory, Richland, Washington, United States of America.
Steven C FransenIrrigated Agriculture Research and Extension Center, Washington State University, Prosser, Washington, United States of America.
Vanessa L BaileyBiological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington, United States of America.
Christer JanssonEnvironmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington, United States of America.
Kim K HixsonEnvironmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington, United States of America.ORCID 0000-0003-3915-7040
Stephen J CallisterBiological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington, United States of America.ORCID 0000-0003-1785-2755

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The microbial and molecular characterization of the ectorhizosphere is an important step towards developing a more complete understanding of how the cultivation of biofuel crops can be undertaken in nutrient poor environments. The ectorhizosphere of Setaria is of particular interest because the plant component of this plant-microbe system is an important agricultural grain crop and a model for biofuel grasses. Importantly, Setaria lends itself to high throughput molecular studies. As such, we have identified important intra- and interspecific microbial and molecular differences in the ectorhizospheres of three geographically distant Setaria italica accessions and their wild ancestor S. viridis. All were grown in a nutrient-poor soil with and without nutrient addition. To assess the contrasting impact of nutrient deficiency observed for two S. italica accessions, we quantitatively evaluated differences in soil organic matter, microbial community, and metabolite profiles. Together, these measurements suggest that rhizosphere priming differs with Setaria accession, which comes from alterations in microbial community abundances, specifically Actinobacteria and Proteobacteria populations. When globally comparing the metabolomic response of Setaria to nutrient addition, plants produced distinctly different metabolic profiles in the leaves and roots. With nutrient addition, increases of nitrogen containing metabolites were significantly higher in plant leaves and roots along with significant increases in tyrosine derived alkaloids, serotonin, and synephrine. Glycerol was also found to be significantly increased in the leaves as well as the ectorhizosphere. These differences provide insight into how C4 grasses adapt to changing nutrient availability in soils or with contrasting fertilization schemas. Gained knowledge could then be utilized in plant enhancement and bioengineering efforts to produce plants with superior traits when grown in nutrient poor soils.

Indexed as

AlkaloidsBacteriaDNA, BacterialDNA, RibosomalGlycerolMetabolomicsNitrogenPhylogenyPhylogeographyPlant LeavesPlant RootsRhizosphereRNA, Ribosomal, 16SSequence Analysis, DNASetaria PlantSoilAlkaloidsDNA, BacterialDNA, RibosomalGlycerolNitrogenRNA, Ribosomal, 16SSoil

Identifiers

PMID34879068
PMCPMC8654227

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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.