TY - JOUR
T1 - Transcriptome analysis identifies differentially expressed genes in maize leaf tissues in response to elevated atmospheric [CO2]
AU - Ge, Yuan
AU - Guo, Baoqiang
AU - Cai, Yaomin
AU - Zhang, Hengyu
AU - Luo, Shaona
AU - Gallois, Patrick
PY - 2018
Y1 - 2018
N2 - 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.
AB - 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.
U2 - 10.1080/17429145.2018.1483035
DO - 10.1080/17429145.2018.1483035
M3 - Article
VL - 13
SP - 373
EP - 379
JO - Journal of Plant Interactions
JF - Journal of Plant Interactions
SN - 1742-9145
IS - 1
ER -