Fungal Community as a Bioindicator to Reflect Anthropogenic Activities in a River Ecosystem

Abstract

The fungal community interacts with the ambient environment and can be used as a bioindicator to reflect anthropogenic activities in aquatic ecosystems. Several studies have investigated the impact of anthropogenic activities on the fungal community and found that community diversity and composition are influenced by such activities. Here we combined chemical analysis of water properties and sequencing of fungal internal transcribed spacer regions to explore the relationship between water quality indices and fungal community diversity and composition in three river ecosystem areas along a gradient of anthropogenic disturbance (i.e., less-disturbed mountainous area, wastewater-discharge urban area, and pesticide and fertilizer used agricultural area). Results revealed that the level of anthropogenic activity was strongly correlated to water quality and mycoplankton community. The increase in organic carbon and nitrogen concentrations in water improved the relative abundance of Schizosaccharomyces, which could be used as a potential biomarker to reflect pollutant and nutrient discharge. We further applied a biofilm reactor using water from the three areas as influent to investigate the differences in fungal communities in the formed biofilms. Different community compositions were observed among the three areas, with the dominant fungal phyla in the biofilms found to be more sensitive to seasonal effects than those found in water. Finally, we determined whether the fungal community could recover following water quality restoration. Our biofilm reactor assay revealed that the recovery of fungal community would occur but need a long period of time. Thus, this study highlights the importance of preserving the original natural aquatic ecosystem.

Diversity of water-borne conidial fungi in some freshwater bodies of Kumaun Himalaya in district Nainital (Uttarakhand), India

“…This may be regarded as temperature tolerant and common species of all the streams. The observed results are also supported by the studies ofDuarte et al (2013) andBai et al (2018) in that the environmental variables such as temperature, pH, nutrient availability, altitudinal variations can affect fungal community composition.…”

“…The altitudinal and seasonal differences in diversity of these fungi may be due to physicochemical properties of water, nutrient and substrate availability (Pant et al, 2019). Environmental variables such as temperature and pH are also the dominant factors that affect the growth of these fungi (Duarte et al, 2013;Bai et al, 2018). Their occurrence and frequency to extreme temperatures and pH may have a profound effect on fungal community composition and metabolic activities.…”

Quantification of the covariation of lake microbiomes and environmental variables using a machine learning‐based framework

“…These classes are ubiquitous in lakes (Grossmann, Jensen, Heider, et al, 2016;Grossmann, Jensen, Pandey, et al, 2016;Mikhailov et al, 2018), contain many species that inhabit specific ecological niches and have been used as bioindicators (Bellinger & Sigee, 2015;Foissner & Berger, 1996;Lee et al, 2004). Similarly, many of the eukaryotic multitask OTUs identified here belong to genera that have been described as ubiquitous in freshwater ecosystems (e.g., Chytridiomycota (Bai et al, 2018),…”

Quantifying the information content of lake microbiomes using a machine learning-based framework

“…These classes are ubiquitous in lakes [34,75,76], contain many species that inhabit specific ecological niches and have been used as bioindicators [77][78][79]. Similarly, many of the eukaryotic multitask OTUs identified here belong to genera that have been described as ubiquitous in freshwater ecosystems (e.g., Chytridiomycota [80], Desmodesmus [81] or Gymnodinium [82]). However, most of the species we identified have, to our knowledge, not yet been described as bioindicators at lower taxonomic levels.…”