Tuning up microbiome analysis to monitor WWTPs’ biological reactors functioning

Celis, Miguel de; Belda, Ignacio; Ortiz‐Álvarez, Rüdiger; Arregui, Lucía; Marquina, Domingo; Serrano, Susana; Santos, Andrés de la Oliva

doi:10.1038/s41598-020-61092-1

Cited by 45 publications

(17 citation statements)

References 55 publications

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“…The results suggest that the mixed forest soils had a number of microbial species that were selectively present at low abundance, and the biomarkers for the mixed forest soils were analyzed. Among the biomarkers, the microorganisms involved in the nitrogen cycle were more abundant in mixed forests than in Mongolian oak forests; the genus Mesorhizobium and the family Pirellulaceae include nitrogen-fixing bacteria and ammonia oxidizers, respectively [34,35]. There was a significant positive correlation between the abundance of the biomarkers and soil pH.…”

Section: Discussionmentioning

confidence: 94%

Influence of Tree Vegetation on Soil Microbial Communities in Temperate Forests and Their Potential as a Proactive Indicator of Vegetation Shift Due to Climate Change

et al. 2020

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Unexpected vegetation shift is a serious problem caused by climate change, resulting in considerable damage to local communities. It is necessary to be continuously monitored, and the soil microbial community is expected to reflect the pressure on forest ecosystems due to climate change. We investigated soil bacterial and fungal communities in Odaesan at a four-year interval through eDNA meta-barcoding and analyzed the compositional and functional differences between forest types (Mongolian oak (Quercus mongolica) forest with and without Manchurian firs (Abies holophylla)) and sampling years. As a result, denitrifiers predominated in the presence of Manchurian firs, but there was no difference in the influence of climate change by forest type. Although tree vegetation remained stable, the microbial communities significantly changed over four years. This result demonstrates that climate change significantly shifts the microbial communities, even if not enough to trigger a vegetation shift, thus a microbial indicator can be developed to assess the press disturbance accumulated on the forest ecosystem. Through this study, we identified the influence of Manchurian firs and that of climate change on soil microbial communities in temperate forests and demonstrated the potential of the microbial community as a proactive indicator of vegetation shift due to climate change.

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Section: Discussionmentioning

confidence: 94%

Influence of Tree Vegetation on Soil Microbial Communities in Temperate Forests and Their Potential as a Proactive Indicator of Vegetation Shift Due to Climate Change

et al. 2020

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“…The highest mean KO values of all types of predicted functions were detected in the industrial effluent samples. Indeed, in industrial water systems, microbes might need to activate more pathways to enable their survival in that environment [ 11 ]. For example, activation of terpene and secondary metabolite pathways was observed.…”

Section: Discussionmentioning

confidence: 99%

Bacterial diversity and predicted enzymatic function in a multipurpose surface water system – from wastewater effluent discharges to drinking water production

Tiwari

Hokajärvi

Domingo

et al. 2021

Environmental Microbiome

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Background Rivers and lakes are used for multiple purposes such as for drinking water (DW) production, recreation, and as recipients of wastewater from various sources. The deterioration of surface water quality with wastewater is well-known, but less is known about the bacterial community dynamics in the affected surface waters. Understanding the bacterial community characteristics —from the source of contamination, through the watershed to the DW production process—may help safeguard human health and the environment. Results The spatial and seasonal dynamics of bacterial communities, their predicted functions, and potential health-related bacterial (PHRB) reads within the Kokemäenjoki River watershed in southwest Finland were analyzed with the 16S rRNA-gene amplicon sequencing method. Water samples were collected from various sampling points of the watershed, from its major pollution sources (sewage influent and effluent, industrial effluent, mine runoff) and different stages of the DW treatment process (pre-treatment, groundwater observation well, DW production well) by using the river water as raw water with an artificial groundwater recharge (AGR). The beta-diversity analysis revealed that bacterial communities were highly varied among sample groups (R = 0.92, p < 0.001, ANOSIM). The species richness and evenness indices were highest in surface water (Chao1; 920 ± 10) among sample groups and gradually decreased during the DW treatment process (DW production well; Chao1: 320 ± 20). Although the phylum Proteobacteria was omnipresent, its relative abundance was higher in sewage and industrial effluents (66–80%) than in surface water (55%). Phyla Firmicutes and Fusobacteria were only detected in sewage samples. Actinobacteria was more abundant in the surface water (≥13%) than in other groups (≤3%). Acidobacteria was more abundant in the DW treatment process (≥13%) than in others (≤2%). In total, the share of PHRB reads was higher in sewage and surface water than in the DW treatment samples. The seasonal effect in bacterial communities was observed only on surface water samples, with the lowest diversity during summer. Conclusions The low bacterial diversity and absence of PHRB read in the DW samples indicate AGR can produce biologically stable and microbiologically safe drinking water. Furthermore, the significantly different bacterial communities at the pollution sources compared to surface water and DW samples highlight the importance of effective wastewater treatment for protecting the environment and human health.

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“…The highest mean KO values of all types of predicted functions were detected in the industrial e uent samples. Indeed, in industrial water systems microbes might need to activate more pathways to enable their survival in that environment (De Celis et al 2020). For example, an activation of terpene and secondary metabolite pathways was observed.…”

Section: Variation In Predicated Functionsmentioning

confidence: 99%

Bacterial Diversity and Predicted Enzymatic Function in a Multipurpose Surface Water System – From Wastewater Effluent Discharges to Drinking Water Production

Tiwari

Hokajärvi

Domingo

et al. 2020

Preprint

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BackgroundRivers and lakes are used for multiple purposes such as for drinking water (DW) production, recreation, and as recipients of wastewaters from various sources. The understanding of the seasonal dynamics of bacterial communities on such waters may help for protecting human health and the environment. This study analyzed 16S rRNA-gene high-throughput sequence data for determining the spatial and seasonal dynamics of bacterial communities, their predicted functions, and potential health-related bacterial (PHRB) reads within the Kokemäenjoki River watershed in south-west Finland. Water samples were collected from various sampling points of the watershed, from its major pollution sources (sewage influent and effluent, industrial effluent, mine runoff) and different stages of the DW treatment process (pre-treatment, groundwater observation well, DW production well) by using the river water as raw water with artificial groundwater recharge (AGR). ResultsThe beta-diversity analysis revealed that bacterial communities were highly varied among sample groups (R = 0.92, p < 0.001, ANOSIM). The species richness and evenness indices were highest in surface water (Chao1; 920±10) among sample groups and gradually decreased along the DW treatment process (DW production well; Chao1: 320±20). Although the phylum Proteobacteria was omnipresent, its relative abundance was higher in sewage and industrial effluents (66-80%) than in surface water (55%). Phyla Firmicutes and Fusobacteria were only detected in sewage samples. Actinobacteria was more abundant in the surface water (≥13%) than in other groups (≤3%). Acidobacteria was more abundant in the DW treatment process (≥13%) than in others (≤2%). In total, the share of PHRB reads was higher in sewage and surface water than in the DW treatment samples. In surface water, the recorded richness indices and the share of PHRB reads were lowest during summer than other seasons. When all sample groups were considered together, the predicted enzymatic function was lowest during spring than other seasons. Conclusions The significantly different bacterial communities at the pollution sources as compared to surface water highlight the importance of effective wastewater treatment for protecting surface water quality. The low bacterial diversity and absence of PHRB reads in the DW samples indicate AGR is able to produce biologically stable and microbiologically safe drinking water.

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Tuning up microbiome analysis to monitor WWTPs’ biological reactors functioning

Cited by 45 publications

References 55 publications

Influence of Tree Vegetation on Soil Microbial Communities in Temperate Forests and Their Potential as a Proactive Indicator of Vegetation Shift Due to Climate Change

Influence of Tree Vegetation on Soil Microbial Communities in Temperate Forests and Their Potential as a Proactive Indicator of Vegetation Shift Due to Climate Change

Bacterial diversity and predicted enzymatic function in a multipurpose surface water system – from wastewater effluent discharges to drinking water production

Bacterial Diversity and Predicted Enzymatic Function in a Multipurpose Surface Water System – From Wastewater Effluent Discharges to Drinking Water Production

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