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ARS Home » Northeast Area » Beltsville, Maryland (BARC) » Beltsville Agricultural Research Center » Food Quality Laboratory » Research » Publications at this Location » Publication #344223
Research Project: Development of Novel Tools to Manage Fungal Plant Pathogens that Cause Postharvest Decay of Pome Fruit to Reduce Food Waste

Location: Food Quality Laboratory

Title: Datasets for transcriptomic analyses of maize leaves in response to Asian corn borer feeding and/or jasmonic acid

Author
item ZHANG, YULIANG - Chinese Academy Of Tropical Agricultural Sciences
item HUANG, QIXING - Chinese Academy Of Tropical Agricultural Sciences
item PENNERMAN, KAYLA - Rutgers University
item Yu, Jiujiang
item LIU, ZHIXIN - Chinese Academy Of Tropical Agricultural Sciences
item GUO, ANPING - Chinese Academy Of Tropical Agricultural Sciences
item YIN, GUOHUA - Rutgers University

Submitted to: Data in Brief
Publication Type: Research Notes
Publication Acceptance Date: 3/21/2016
Publication Date: 3/28/2016
Citation: Zhang, Y., Huang, Q., Pennerman, K.K., Yu, J., Liu, Z., Guo, A., Yin, G. 2016. Datasets for transcriptomic analyses of maize leaves in response to Asian corn borer feeding and/or jasmonic acid. Data in Brief. 7:1010-1014. doi:10.1016/j.dib.2016.03.071.

Interpretive Summary:

Technical Abstract: Corn is one of the most widely grown crops throughout the world. However, many corn fields develop pest problems such as corn borers every year that seriously affect its yield and quality. Corn's response to initial insect damage involves a variety of changes to the levels of defensive enzymes, toxins, and communicative volatiles. Such a dramatic change in secondary metabolism necessitates the regulation of gene expression at the transcript level. In this paper, we summarized the datasets of the transcriptome of corn plants in response to corn stalk borers (Ostrinia furnacalis) and/or methyl jasmonate (MeJA). Altogether, 39,636 genes were found to be differentially expressed. The sequencing data are available in the NCBI SRA database under accession number SRS965087. Our dataset will provide more scientific and valuable information for future work such as the study of the functions of important genes or proteins and develop new insect-resistant maize varieties.