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Rhizosphere microbial community of maize and summer annuals

dataset
posted on 2024-06-11, 05:46 authored by Cornell University
Rhizosphere microbial communities are critically important for plant productivity. There is evidence that plant species and genotypes select distinct rhizosphere communities, however, knowledge of the drivers and extent of this variation remains limited. We grew 11 annual species and 11 maize (Zea mays) inbred lines in replicated monocultures to assess the influence of host phylogeny, growth and nitrogen economy on rhizosphere communities. Growth characteristics, bacterial community composition and potential activity of extracellular enzymes were assayed at anthesis. Microbial community composition and activity shifted markedly between bulk and rhizosphere soil and this effect was modulated by plant species and genotype. Across species rhizosphere beta-diversity was positively correlated with host phylogenetic distance and variation in plant growth characteristics. In particular, longer lifespan, high nitrogen use efficiency and larger seed size were associated with an increase in abundance of Actinobacteria and increased enzyme activity in the rhizosphere. These results indicate that plant evolutionary history and life history strategy influence rhizosphere community composition and activity. These findings can inform efforts to manage rhizosphere communities in agricultural systems via integration of plant phylogenetic and functional diversity.

Funding

U.S. Department of Agriculture, 2015-67019-23588

U.S. Department of Agriculture, NYC-145446

History

Data contact name

BioProject Curation Staff

Publisher

National Center for Biotechnology Information

Temporal Extent Start Date

2017-10-07

Theme

  • Non-geospatial

ISO Topic Category

  • biota

National Agricultural Library Thesaurus terms

sequence analysis

Pending citation

  • No

Public Access Level

  • Public

Accession Number

PRJNA413594

Preferred dataset citation

It is recommended to cite the accession numbers that are assigned to data submissions, e.g. the GenBank, WGS or SRA accession numbers. If individual BioProjects need to be referenced, state that "The data have been deposited with links to BioProject accession number PRJNA413594 in the NCBI BioProject database (https://www.ncbi.nlm.nih.gov/bioproject/)."

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