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Fungal Community Analysis of Heterodera schachtii Females Derived from Imperial Valley (CA) Soils Cropped to Sugar Beets

dataset
posted on 2024-06-11, 06:20 authored by University of California at Riverside
The goal of this study was to obtain evidence supporting the feasibility of a new cropping decision model for sugar beet production in the Imperial Valley of California. We hypothesize that growers can use this model to create and maintain soils that suppress the sugarbeet cyst nematode (Heterodera schachtii) by manipulating the population densities of indigenous soil microbes belonging to a group of nematophagous fungi comprised of Hyalorbilia oviparasitica and relatives - the H. oviparasitica Clade. In this study, 21 of 25 Imperial Valley soils, which were recently cropped to sugar beets, harbored members of the H. oviparasitica Clade. The population densities of these fungi also increased approximately 10,000-fold in the presence of H. schachtii and a H. schachtii host crop over one nematode generation. These results support the feasibility of our new cropping decision model because not only will the presence of indigenous members of the H. oviparasitica Clade be essential, but we also posit that their population densities will need to rapidly expand to create the H. schachtii suppressive soils. Finally, an Illumina-based, fungal rRNA ITS assay was used to characterize the fungi associated with H. schachtii females derived from these soils.

Funding

Division of Agriculture and Natural Resources, University of California, 17-5026

Cooperative State Research, Education, and Extension Service, 2007-35302-18164

National Institute of Food and Agriculture, 2018-67014-28066

History

Data contact name

BioProject Curation Staff

Publisher

National Center for Biotechnology Information

Temporal Extent Start Date

2020-03-23

Theme

  • Non-geospatial

ISO Topic Category

  • biota

National Agricultural Library Thesaurus terms

sequence analysis

Pending citation

  • No

Public Access Level

  • Public

Accession Number

PRJNA614529

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 PRJNA614529 in the NCBI BioProject database (https://www.ncbi.nlm.nih.gov/bioproject/)."

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