Infestation by the Piercing-Sucking Herbivore Nilaparvata lugens Systemically Triggers JA- and SA-Dependent Defense Responses in Rice.

It has been well documented that an infestation of the piercing-sucking herbivore, brown planthopper (BPH), Nilaparvata lugens, activates strong local defenses in rice. However, whether a BPH infestation elicits systemic responses in rice remains largely unknown. In this study, we investigated BPH-induced systemic defenses by detecting the change in expression levels of 12 JA- and/or SA-signaling-responsive marker genes in different rice tissues upon a BPH attack. We found that an infestation of gravid BPH females on rice leaf sheaths significantly increased the local transcript level of all 12 marker genes tested except OsVSP, whose expression was induced only weakly at a later stage of the BPH infestation. Moreover, an infestation of gravid BPH females also systemically up-regulated the transcription levels of three JA-signaling-responsive genes (OsJAZ8, OsJAMyb, and OsPR3), one SA-signaling-responsive gene (OsWRKY62), and two JA- and SA- signaling-responsive genes (OsPR1a and OsPR10a). Our results demonstrate that an infestation of gravid BPH females systemically activates JA- and SA-dependent defenses in rice, which may in turn influence the composition and structure of the community in the rice ecosystem.

Genetic diversity and distribution of rhizobia associated with soybean in red soil in Hunan Province.

To explore the genetic diversity and distribution of rhizobia in the rhizosphere of soybean grown in red soil, we have collected 21 soil samples from soybean fields across seven counties in Hunan province, China. MiSeq sequencing of rpoB gene was used to determine the intra-species diversity of rhizobia existing in soybean rhizospheres. Soil chemical properties were determined by routine methods. The Principal Coordinates Analysis (PCoA) plot indicated a clear biogeographical pattern characterizing the soybean rhizosphere across different sites. The Mantel test demonstrated that biogeographical pattern was significantly correlated with the geographical distance (Mantel statistic R 0.385, p < 0.001). There were obvious differences in the rhizobial communities among northeastern eco-region, southeastern eco-region and western eco-region. In general, Bradyrhizobium diazoefficiens was the most abundant rhizobial species in the soybean rhizosphere. At an intermediate (10-400 km) spatial scale, the biogeographical pattern of rhizobial communities in soybean rhizosphere is associated with both soil properties and geographical distance. Redundancy analysis (RDA) showed that total potassium (TK), available potassium (AK), soil organic carbon (SOC), and available nitrogen (AN) were the main factors that influenced the α-diversity of rhizobial communities. Canonical correspondence analysis (CCA) showed that pH and exchangeable Ca and Mg had the greatest influence on the ß-diversity of the rhizobial communities in the soybean rhizosphere. These findings characterize the distribution pattern and its influencing factors of soybean rhizobia in rhizosphere in Hunan province, which may be helpful in selecting suitable strains or species as inoculants for soybeans in red soil regions.