Seasonal Variation in Fungal Community Composition Associated with Tamarix chinensis Roots in the Coastal Saline Soil of Bohai Bay, China

Response of Phyllosphere and Rhizosphere Microbial Communities to Salt Stress of Tamarix chinensis

As carriers of direct contact between plants and the atmospheric environment, the microbiomes of phyllosphere microorganisms are increasingly recognized as an important area of study. Salt secretion triggered by salt-secreting halophytes elicits changes in the community structure and functions of phyllosphere microorganisms, and often provides positive feedback to the individual plant/community environment. In this study, the contents of Na+ and K+ in the rhizosphere, plant and phyllosphere of Tamarix chinensis were increased under 200 mmol/L NaCl stress. The increase in electrical conductivity, Na+ and K+ in the phyllosphere not only decreased the diversity of bacterial and fungal communities, but also decreased the relative abundance of Actinobacteriota and Basidiomycota. Influenced by electrical conductivity and Na+, the bacteria-fungus co-occurrence network under salt stress has higher complexity. Changes in the structure of the phyllosphere microbial community further resulted in a significant increase in the relative abundance of the bacterial energy source and fungal pathotrophic groups. The relative abundance of Actinobacteriota and Acidobacteriota in rhizosphere showed a decreasing trend under salt stress, while the complexity of the rhizosphere co-occurrence network was higher than that of the control. In addition, the relative abundances of functional groups of rhizosphere bacteria in the carbon cycle and phosphorus cycle increased significantly under stress, and were significantly correlated with electrical conductivity and Na+. This study investigated the effects of salinity on the structure and physicochemical properties of phyllosphere and rhizosphere microbial communities of halophytes, and highlights the role of phyllosphere microbes as ecological indicators in plant responses to stressful environments.

The importance of conditionally rare taxa for the assembly and interaction of fungal communities in mangrove sediments

The fungal communities provide the nutrients and drive the cycles of elements in nature, and the rare fungal taxa are proved to be crucial for these communities in many environments. However, the ecological functions of rare taxa for the fungal communities in mangrove ecosystems are poorly assessed until now. This work aims to reveal the importance of rare taxa for the assembly of fungal communities in mangrove sediments by using the amplicon sequencing analysis of different spatiotemporal samples collected from Sanya mangroves, China. The results showed that Ascomycota and Basidiomycota were the dominant phyla in the conditionally rare taxa (CRT). The fungal communities possessed outstanding stability against the spatiotemporal variation and most collected environmental factors. The CRT possessed narrower niches and were more affected by the environmental variables than the abundant taxa. The current work demonstrated that the CRT had significantly higher relative abundances, degrees (the number of adjacent edges), clustering coefficients, and closeness centralities in the top 8 modules of the co-occurrence network (p < 0.05), indicating the important role of the CRT for the interaction of fungal communities in mangrove sediments. These findings indicate the importance of the CRT for the fungal community structures in mangrove sediments, and would deepen our understanding of dynamic functions of mangrove fungi, thereby facilitating the management, utilization, and protection of mangrove ecosystems. KEY POINTS: • Fungal communities in mangrove sediments are stable against environment variations. • The conditionally rare taxa (CRT) possessed narrower niches than the abundant fungal taxa. • The CRT are central for the co-occurrence network and interaction of fungal communities.

Monitoring soil salinization and its spatiotemporal variation at different depths across the Yellow River Delta based on remote sensing data with multi-parameter optimization

Soil salinization is recognized as a key issue negatively affecting agricultural productivity and wetland ecology. It is necessary to develop effective methods for monitoring the spatiotemporal distribution of soil salinity at a regional scale. In this study, we proposed an optimized remote sensing-based model for detecting soil salinity in different depths across the Yellow River Delta (YRD), China. A multi-dimensional model was built for mapping soil salinity, in which five types of predictive factors derived from Landsat satellite images were exacted and tested, 94 in-situ measured soil salinity samples with depths of 30-40 cm and 90-100 cm were collected to establish and validate the predicting model result. By comparing multiple linear regression (MLR) and partial least squares regression (PLSR) models with considering the correlation between predictive factors and soil salinity, we established the optimized prediction model which integrated the multi-parameter (including SWIR1, SI9, MSAVI, Albedo, and SDI) optimization approach to detect soil salinization in the YRD from 2003 to 2018. The results indicated that the estimates of soil salinity by the optimized prediction model were in good agreement with the measured soil salinity. The accuracy of the PLSR model performed better than that of the MLR model, with the R² of 0.642, RMSE of 0.283, and MAE of 0.213 at 30-40 cm depth, and with the R² of 0.450, RMSE of 0.276, and MAE of 0.220 at 90-100 cm depth. From 2003 to 2018, the soil salinity showed a distinct spatial heterogeneity. The soil salinization level of the coastal shoreline was higher; in contrast, lower soil salinization level occurred in the central YRD. In the last 15 years, the soil salinity at depth of 30-40 cm experienced a decreased trend of fluctuating, while the soil salinity at depth of 90-100 cm showed fluctuating increasing trend.