English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Tools annual

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

Soybean is one of the most important economic crops in the world. However, the salinization of soil results in the decrease of soybean yield as it is only a moderately salt-tolerant crop. We treated three soybean cultivars with low and high concentrations of NaCl. The differentially expressed genes between the control group and the salt treatment group were identified by mRNA sequencing and analyzed by gene ontology and Kyoto encyclopedia of genes and genomes annotations. We performed weighted gene co-expression network analysis on all samples and found genes most related to the phenotype. After verifying the results of differentially expressed genes by quantitative PCR, we finally identified Glyma06G01990, Glyma08G22730, Glyma019G05140, and Glyma06G20160 as key genes affecting the soybean growth under salt stress. Additional key words: differentially expressed genes, Glycine max, RNA-seq, WGCNA. Submitted 11 February 2020, last revision 24 June 2020, accepted 25 June 2020. Abbreviations: DEGs differentially expressed genes; GO gene ontology; KEGG Kyoto encyclopedia of genes and genomes; WGCNA weighted gene co-expression network analysis. Acknowledgements: This study was funded by the Agriculture Scientific and Technological Innovation Project of Shandong Academy of Agricultural Sciences (grant No. CXGC2016A02), Agricultural Variety Improvement Project of Shandong Province (grant Nos. 2019LZGC017, 2019LZGC004), and Shandong Province Modern Agricultural Technology System Coarse Cereals Innovation Team. The first two authors equally participate in this work. * Corresponding author; e-mail: dinghanfengsd@outlook.com This is an open access article distributed under the terms of the Creative Commons BY-NC-ND Licence

Identification of potential key genes affecting soybean growth under salt stress via transcriptome study