Document Type
Article
Publication Date
2019
Abstract
Soybean aphid (Aphis glycines; SBA) and soybean cyst nematode (Heterodera glycines; SCN) are two major pests of soybean (Glycine max) in the United States of America. This study aims to characterize three-way interactions among soybean, SBA, and SCN using both demographic and genetic datasets. SCN-resistant and SCN-susceptible soybean cultivars with a combination of soybean aphids (biotype 1) and SCN (HG type 0) in a randomized complete block design (RCBD) with six blocks were used to evaluate the three-way interactions in a greenhouse setup. Treatments receiving SCN were infested at planting with 2000 nematode eggs, and the treatments with soybean aphids were infested at second trifoliate growth stage (V2) with 15 soybean aphids. The whole roots were sampled from plants at 5 and 30 days post SBA infestation for RNA sequencing using Illumina Hiseq. 3000. The data comprises of 47 libraries that are useful for further analyses of important genes, which are involved in interaction effects of SBA and SCN on soybean.
Publication Title
Scientific Data
Volume
6
Issue
133
DOI of Published Version
https://doi.org/10.1038/s41597-019-0140-4
Publisher
Springer Nature Publishing
Rights
© The Author(s) 2019
Recommended Citation
Neupane, Surendra; Mathew, Febina M.; Varenhorst, Adam J.; and Nepal, Madhav P., "Transcriptome Profiling of Interaction Effects of Soybean Cyst Nematodes and Soybean Aphids on Soybean" (2019). Agronomy, Horticulture and Plant Science Faculty Publications. 295.
https://openprairie.sdstate.edu/plant_faculty_pubs/295
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
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Comments
This article was published in (2019) Scientific Data 6:133, DOI: https://doi.org/10.1038/s41597-019-0140-4
This article was published under a Creative Commons BY 4.0 License
The supplemental ISA-Tab metadata file is published under under a Creative Commons Public Domain Dedication License (CC0 1.0).
Codes used for RNA-seq data processing in the current study are available as supplementary material in Figshare at: https://doi.org/10.6084/m9.figshare.7755152.v332 (Codes used for RNA-seq data processing).