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Effect of Elevated Atmospheric CO2 Concentration and Temperature on the Transcriptome of Soybean (Glycine max) Leaves at R5 |
ZHANG Chun-Yu1,3, ZHANG Rui-Ping2, FANG Rui1, LI Yan-Sheng1, YIN Kui-De3, JIN Jian1, YU Zhen-Hua1,* |
1 Key Laboratory of Mollisols Agroecology, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Harbin 150081, China; 2 Soybean Research Institute, Heilongjiang Academy of Agricultural Sciences, Harbin 150086, China; 3 College of Agronomy, Heilongjiang Bayi Agricultural University, Daqing 163319, China |
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Abstract Climate changes, feature as the increased temperature and concentration of CO2 in the atmosphere, substantially affect the agricultural production. Soybean (Glycine max) is an important oil crop, but little is known about the gene regulation of soybean leaves response to elevated CO2 and warming, which were important to gain insights of soybean adaption and feedback to climate change. In this study, an OTC (open top chamber) experiment was performed to simulate the conditions of elevated CO2 and warming. Soybean leaves at the full pod stage (R5) were collected for transcriptome analysis. The results showed that 5 646 differentially expressed genes (DEGs) can be annotated as 44 functional terms by Gene Ontology (GO) analysis, among which, cell processes, cell and binding had higher enrichment degree. The Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis found that the expression of 14 differentially expressed genes which were mainly related with the regulation of photosynthesis pathway increased under elevated carbon dioxide condition. However, the expression of 16 out of 17 differentially expressed genes which were mainly related with fatty acid metabolism pathway increased under elevated CO2 and warming conditions. Warming did not induce any significant changes of differentially expressed genes. The results would provide theoretical basis for further exploring the molecular mechanism of soybean response to future climate changes.
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Received: 27 May 2021
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Corresponding Authors:
*yuzhenhua@iga.ac.cn
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