Endophytic fungus diversity in soybean plants submitted to conditions of elevated atmospheric CO2 and temperature

Global climatic changes can have drastic impacts on plant species, including severe consequences for the agricultural species productivity. Many of these species present important mutualisms with endophytic fungi that positively influence their performance. The present study evaluated whether the increases in CO2 and temperature predicted for the year 2100 may cause changes in foliar carbon (C) and nitrogen (N) concentrations in soybean (Glycine max) and, consequently, the interactions with its endophytic fungi. The effects of elevated CO2 and temperature were evaluated in four treatments in open-top chambers: (i) control, (ii) increased temperature, (iii) increased CO2, and (iv) increased CO2 and temperature. Increased atmospheric CO2 resulted in decreased foliar N concentration, while increased temperature increased it. A total of 16 taxa of endophytic fungi were identified based on sequencing internal transcribed spacer regions of rRNA subunits. Increased atmospheric CO2 and temperature were observed to potentially modify the endophytic mycobiota of soybean plants. The results suggest that the fungi species substitution is a consequence of changes in foliar N concentration and C/N ratio. Predicted climatic changes shall affect the relationships between plant and endophytes, which in turn, will affect the performance and resistance of soybean, one of the most important crops in the world.

Automated summary

This study investigated the potential impacts of increased atmospheric CO2 and temperature on the foliar carbon and nitrogen concentrations in soybean, as well as their interactions with endophytic fungi. Results showed that elevated CO2 led to decreased foliar nitrogen concentration, while increased temperature resulted in an increase. Additionally, changes in the endophytic mycobiota of soybean plants were observed, suggesting a potential modification in the plant-endophyte relationships due to predicted climatic changes.