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Transcriptome analysis identifies differentially expressed genes in maize leaf tissues in response to elevated atmospheric [CO2]
- 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.
- Subjects :
- 0106 biological sciences
0301 basic medicine
differentially expressed genes
maize Zea mays
Global challenges
RNA-Seq
Plant Science
Computational biology
lcsh:QK900-989
Biology
lcsh:Plant culture
01 natural sciences
Elevated atmospheric [CO2]
Transcriptome
03 medical and health sciences
030104 developmental biology
Differentially expressed genes
lcsh:Plant ecology
lcsh:SB1-1110
RNA-seq
Ecology, Evolution, Behavior and Systematics
010606 plant biology & botany
Subjects
Details
- Language :
- English
- ISSN :
- 17429153 and 17429145
- Volume :
- 13
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- Journal of Plant Interactions
- Accession number :
- edsair.doi.dedup.....12c07f3edff134c463dfed33b1ea23d2