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

Yuan Ge, Baoqiang Guo, Yaomin Cai, Hengyu Zhang, Shaona Luo, Patrick Gallois

Research output: Contribution to journalArticlepeer-review

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.
Original languageEnglish
Pages (from-to)373-379
Number of pages6
JournalJournal of Plant Interactions
Volume13
Issue number1
Early online date7 Jun 2018
DOIs
Publication statusPublished - 2018

Fingerprint

Dive into the research topics of 'Transcriptome analysis identifies differentially expressed genes in maize leaf tissues in response to elevated atmospheric [CO2]'. Together they form a unique fingerprint.

Cite this