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Transcriptome analysis identifies differentially expressed genes in maize leaf tissues in response to elevated atmospheric [CO2]

Authors :
Shaona Luo
Baoqiang Guo
Yao Min Cai
Yuan Ge
Patrick Gallois
Hengyu Zhang
Source :
Journal of Plant Interactions, Vol 13, Iss 1, Pp 373-379 (2018), Ge, Y, Guo, B, Cai, Y, Zhang, H, Luo, S & Gallois, P 2018, ' Transcriptome analysis identifies differentially expressed genes in maize leaf tissues in response to elevated atmospheric [CO 2 ] ', Journal of Plant Interactions, vol. 13, no. 1, pp. 373-379 . https://doi.org/10.1080/17429145.2018.1483035
Publication Year :
2018
Publisher :
Taylor & Francis Group, 2018.

Abstract

The sustained increase in atmospheric [CO2] over the past two centuries has brought a series of global challenges in plant-environment interactions. However, genetic mechanisms in botanical adaption and feedback to environmental alteration remain elusive. Here we collected and analysed transcriptome sequencing data from leaf tissues of maize Zea mays conditioned under high [CO2] stress for 0, 7 or 14 d. A total of 1390 genes, either up- or down-regulated, differed significantly in these conditions. Gene Ontology (GO) enrichment terms and KEGG metabolism pathways included protein phosphorylation, protein ubiquitination, oxidation-reduction, plant organ development, cellular response to endogenous response and MAPK signaling. We also identified three densely connected gene clusters: TCP/PYE, WRKYs and MYC/JAZ from significant DEGs. In conclusion, we provided a genetic database for biologists in botany, agronomy and ecology to further investigate the molecular machinery by which C4-plants respond to elevated atmospheric [CO2] and accompanying global climate change.

Details

Language :
English
ISSN :
17429153 and 17429145
Volume :
13
Issue :
1
Database :
OpenAIRE
Journal :
Journal of Plant Interactions
Accession number :
edsair.doi.dedup.....12c07f3edff134c463dfed33b1ea23d2