Environmental factors and microbial communities jointly regulate biological dephosphorization process in pond-ditch circulation systems (PDCSs) for rural wastewater treatment

2021 ◽  
Vol 758 ◽  
pp. 143629
Author(s):  
Lin Ma ◽  
Lingli Yang ◽  
Wei Liu ◽  
Yi Zhang ◽  
Qiaohong Zhou ◽  
...  
2015 ◽  
Vol 12 ◽  
pp. 446-454 ◽  
Author(s):  
Li Xiao ◽  
Erica B. Young ◽  
Jacob J. Grothjan ◽  
Stephen Lyon ◽  
Husen Zhang ◽  
...  

2021 ◽  
Vol 13 (13) ◽  
pp. 7358
Author(s):  
Dong-Hyun Kim ◽  
Hyun-Sik Yun ◽  
Young-Saeng Kim ◽  
Jong-Guk Kim

This study analyzed the microbial community metagenomically to determine the cause of the functionality of a livestock wastewater treatment facility that can effectively remove pollutants, such as ammonia and hydrogen sulfide. Illumina MiSeq sequencing was used in analyzing the composition and structure of the microbial community, and the 16S rRNA gene was used. Through Illumina MiSeq sequencing, information such as diversity indicators as well as the composition and structure of microbial communities present in the livestock wastewater treatment facility were obtained, and differences between microbial communities present in the investigated samples were compared. The number of reads, operational taxonomic units, and species richness were lower in influent sample (NLF), where the wastewater enters, than in effluent sample (NL), in which treated wastewater is found. This difference was greater in June 2019 than in January 2020, and the removal rates of ammonia (86.93%) and hydrogen sulfide (99.72%) were also higher in June 2019. In both areas, the community composition was similar in January 2020, whereas the influent sample (NLF) and effluent sample (NL) areas in June 2019 were dominated by Proteobacteria (76.23%) and Firmicutes (67.13%), respectively. Oleiphilaceae (40.89%) and Thioalkalibacteraceae (12.91%), which are related to ammonia and hydrogen sulfide removal, respectively, were identified in influent sample (NLF) in June 2019. They were more abundant in June 2019 than in January 2020. Therefore, the functionality of the livestock wastewater treatment facility was affected by characteristics, including the composition of the microbial community. Compared to Illumina MiSeq sequencing, fewer species were isolated and identified in both areas using culture-based methods, suggesting Illumina MiSeq sequencing as a powerful tool to determine the relevance of microbial communities for pollutant removal.


Animals ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 865
Author(s):  
Lantian Su ◽  
Xinxin Liu ◽  
Guangyao Jin ◽  
Yue Ma ◽  
Haoxin Tan ◽  
...  

In recent decades, wild sable (Carnivora Mustelidae Martes zibellina) habitats, which are often natural forests, have been squeezed by anthropogenic disturbances such as clear-cutting, tilling and grazing. Sables tend to live in sloped areas with relatively harsh conditions. Here, we determine effects of environmental factors on wild sable gut microbial communities between high and low altitude habitats using Illumina Miseq sequencing of bacterial 16S rRNA genes. Our results showed that despite wild sable gut microbial community diversity being resilient to many environmental factors, community composition was sensitive to altitude. Wild sable gut microbial communities were dominated by Firmicutes (relative abundance 38.23%), followed by Actinobacteria (30.29%), and Proteobacteria (28.15%). Altitude was negatively correlated with the abundance of Firmicutes, suggesting sable likely consume more vegetarian food in lower habitats where plant diversity, temperature and vegetation coverage were greater. In addition, our functional genes prediction and qPCR results demonstrated that energy/fat processing microorganisms and functional genes are enriched with increasing altitude, which likely enhanced metabolic functions and supported wild sables to survive in elevated habitats. Overall, our results improve the knowledge of the ecological impact of habitat change, providing insights into wild animal protection at the mountain area with hash climate conditions.


2017 ◽  
Vol 7 (1) ◽  
pp. 66 ◽  
Author(s):  
Haq Abbasi ◽  
Feng Xu ◽  
Xiwu Lu

2011 ◽  
Vol 102 (4) ◽  
pp. 3790-3798 ◽  
Author(s):  
Qingxiang Yang ◽  
Wenyu Zhang ◽  
Hao Zhang ◽  
Yuhui Li ◽  
Chunmao Li

2016 ◽  
pp. 59-114 ◽  
Author(s):  
Jashan Gokal ◽  
Oluyemi Olatunji Awolusi ◽  
Abimbola Motunrayo Enitan ◽  
Sheena Kumari ◽  
Faizal Bux

2018 ◽  
Vol 13 (3) ◽  
pp. 457-464
Author(s):  
PRIYANAND AGALE ◽  
PARAG SADGIR

Rural wastewater treatment is mostly ignored in developing and undeveloped countries. The most important barrier for addressing to this problem is cost of treatment and simplified technology. Aerobic Brickbat Grit Sand (ABGS) purifier consists of four stages. Wastewater flows gravitationally through partition walls in zigzag pattern with brick bats filter; Pebble sand filter and charcoal and grit filter which facilitate removal of contaminants from domestic wastewater. In the present study, experimental model for domestic wastewater treatment was setup in the Environmental Engineering laboratory at Government College of Engineering Aurangabad, Maharashtra. Physiochemical analysis was done in August and September of 2016 the percentage removal of contaminants results shows Biological Oxygen Demand (BOD) 92% - 87%, Chemical Oxygen Demand (COD) 93 - 89%, Total Suspended Solids( TSS) 80 - 78% and Turbidity 95 - 85%. The process is considered eco-friendly and easy to install technology for domestic wastewater treatment with use of locally available material. ABGS purifier is decentralized approach of domestic wastewater treatment. Hence ABGS as an alternative solution to tackle over the problem of rural wastewater treatment.


2021 ◽  
Author(s):  
Johannes Rousk ◽  
Lettice Hicks

<p>Soil microbial communities perform vital ecosystem functions, such as the decomposition of organic matter to provide plant nutrition. However, despite the functional importance of soil microorganisms, attribution of ecosystem function to particular constituents of the microbial community has been impeded by a lack of information linking microbial function to community composition and structure. Here, we propose a function-first framework to predict how microbial communities influence ecosystem functions.</p><p>We first view the microbial community associated with a specific function as a whole, and describe the dependence of microbial functions on environmental factors (e.g. the intrinsic temperature dependence of bacterial growth rates). This step defines the aggregate functional response curve of the community. Second, the contribution of the whole community to ecosystem function can be predicted, by combining the functional response curve with current environmental conditions. Functional response curves can then be linked with taxonomic data in order to identify sets of “biomarker” taxa that signal how microbial communities regulate ecosystem functions. Ultimately, such indicator taxa may be used as a diagnostic tool, enabling predictions of ecosystem function from community composition.</p><p>In this presentation, we provide three examples to illustrate the proposed framework, whereby the dependence of bacterial growth on environmental factors, including temperature, pH and salinity, is defined as the functional response curve used to interlink soil bacterial community structure and function. Applying this framework will make it possible to predict ecosystem functions directly from microbial community composition.</p>


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