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Cotton (Gossypium hirsutum L.) root transcriptional response to the southern Root-Knot Nematode (RKN) Meloidogyne incognita infestation

dataset
posted on 2024-06-11, 06:46 authored by Plant Stress and Germplasm Development Research, PA, CSRL, USDA-ARS
As an initial step to explore the cotton (Gossypium hirsutum L.) root transcriptional response to the southern Root-Knot Nematode (RKN) Meloidogyne incognita infestation, conventional heirloom G. hirsutum (Gh) cultivars [susceptible Acala SJ-2 (SJ2), moderately resistant Upland Wild Mexico Jack Jones (WMJJ), and resistant Acala NemX] that have been shown to be useful as an informative genetic model for detecting and introgressing RKN resistance genes into commercial Upland cotton were used to enlighten the molecular mechanisms and gene expression of RKN resistance. Using the next generation sequencing (NGS) Illumina MiSeq and HiSeq, we performed RNA-seq profiling in roots with disease progression of 10 days and collected from 23 days old plants of SJ2, WMJJ, and NemX. With three biological replicates of each treatment from each cultivar, plants were subjected to RKN-infestation and non-infested control developing a total of 18 RNA-seq libraries Overall design: Three cotton genotypes (Acala SJ-2 (RKN-susceptible), Wild Mexico Jack Jones (WMJJ; moderately tolerant to RKN) and Acala NemX (RKN-resistant)) and 2 treatments (Control, RKN-infested) were tested. 3 biological replicates for each treatment and genotype.

History

Data contact name

BioProject Curation Staff

Publisher

National Center for Biotechnology Information

Temporal Extent Start Date

2021-12-08

Theme

  • Non-geospatial

ISO Topic Category

  • biota

National Agricultural Library Thesaurus terms

transcriptome; gene expression

Pending citation

  • No

Public Access Level

  • Public

Accession Number

PRJNA787300

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 PRJNA787300 in the NCBI BioProject database (https://www.ncbi.nlm.nih.gov/bioproject/)."

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