The response of sediment microbial communities to temporal and site-specific variations of pollution in interconnected aquaculture pond and ditch systems

Author(s):  
Ming Xu ◽  
Run-ze Xu ◽  
Xiao-xiao Shen ◽  
Peng Gao ◽  
Zhao-xia Xue ◽  
...  
2013 ◽  
Vol 79 (17) ◽  
pp. 5214-5223 ◽  
Author(s):  
Nicholas A. Bokulich ◽  
David A. Mills

ABSTRACTCheese fermentations involve the growth of complex microbial consortia, which often originate in the processing environment and drive the development of regional product qualities. However, the microbial milieus of cheesemaking facilities are largely unexplored and the true nature of the fermentation-facility relationship remains nebulous. Thus, a high-throughput sequencing approach was employed to investigate the microbial ecosystems of two artisanal cheesemaking plants, with the goal of elucidating how the processing environment influences microbial community assemblages. Results demonstrate that fermentation-associated microbes dominated most surfaces, primarilyDebaryomycesandLactococcus, indicating that establishment of these organisms on processing surfaces may play an important role in microbial transfer, beneficially directing the course of sequential fermentations. Environmental organisms detected in processing environments dominated the surface microbiota of washed-rind cheeses maturing in both facilities, demonstrating the importance of the processing environment for populating cheese microbial communities, even in inoculated cheeses. Spatial diversification within both facilities reflects the functional adaptations of microbial communities inhabiting different surfaces and the existence of facility-specific “house” microbiota, which may play a role in shaping site-specific product characteristics.


2008 ◽  
Vol 10 (5) ◽  
pp. 1296-1309 ◽  
Author(s):  
Birthe V. Kjellerup ◽  
Xueli Sun ◽  
Upal Ghosh ◽  
Harold D. May ◽  
Kevin R. Sowers

Gut Microbes ◽  
2014 ◽  
Vol 5 (2) ◽  
pp. 192-201 ◽  
Author(s):  
Joann Romano-Keeler ◽  
Daniel J Moore ◽  
Chunlin Wang ◽  
Robert M Brucker ◽  
Christopher Fonnesbeck ◽  
...  

2016 ◽  
Author(s):  
Daniel R. Garza ◽  
Marcel C. Van Verk ◽  
Martijn A. Huynen ◽  
Bas E. Dutilh

AbstractThe environmental metabolome is a dominant and essential factor shaping microbial communities. Thus, we hypothesized that metagenomic datasets could reveal the quantitative metabolic status of a given sample. Using a newly developed bottom-up ecology algorithm, we predicted high-resolution metabolomes of hundreds of metagenomic datasets from the human microbiome, revealing body-site specific metabolomes consistent with known metabolomics data, and suggesting that common cosmetics ingredients are some of the major metabolites shaping the human skin microbiome.


2019 ◽  
Author(s):  
Golovko George ◽  
Khanipov Kamil ◽  
Albayrak Levent ◽  
Fofanov Yuriy

AbstractMotivationIdentification of complex relationships within members of microbial communities is key to understand and guide microbial transplantation and provide personalized anti-microbial and probiotic treatments. Since members of a given microbial community can be simultaneously involved in multiple relations that altogether will determine their abundance, not all significant relations between organisms are expected to be manifested as visually uninterrupted patterns and be detected using traditional correlation nor mutual information coefficient based approaches.ResultsThis manuscript proposes a pattern specific way to quantify the strength and estimate the statistical significance of two-dimensional co-presence, co-exclusion, and one-way relations patterns between abundance profiles of two organisms which can be extended to three or more dimensional patterns. Presented approach can also be extended by including a variety of physical (pH, temperature, oxygen concentration) and biochemical (antimicrobial susceptibility, nutrient and metabolite concentration) variables into the search for multidimensional patterns. The presented approach has been tested using 2,380 microbiome samples from the Human Microbiome Project resulting in body-site specific networks of statistically significant 2D patterns. We also were able to demonstrate the presence of several 3D patterns in the Human Microbiome Project data.AvailabilityC++ source code for two and three-dimensional patterns, as well as executable files for the Pickle pipeline, are in the attached supplementary [email protected]


2020 ◽  
Vol 96 (2) ◽  
Author(s):  
Connie A Rojas ◽  
Kay E Holekamp ◽  
Andrew D Winters ◽  
Kevin R Theis

ABSTRACT Host-associated microbial communities, henceforth ‘microbiota’, can affect the physiology and behavior of their hosts. In mammals, host ecological, social and environmental variables are associated with variation in microbial communities. Within individuals in a given mammalian species, the microbiota also partitions by body site. Here, we build on this work and sequence the bacterial 16S rRNA gene to profile the microbiota at six distinct body sites (ear, nasal and oral cavities, prepuce, rectum and anal scent gland) in a population of wild spotted hyenas (Crocuta crocuta), which are highly social, large African carnivores. We inquired whether microbiota at these body sites vary with host sex or social rank among juvenile hyenas, and whether they differ between juvenile females and adult females. We found that the scent gland microbiota differed between juvenile males and juvenile females, whereas the prepuce and rectal microbiota differed between adult females and juvenile females. Social rank, however, was not a significant predictor of microbiota profiles. Additionally, the microbiota varied considerably among the six sampled body sites and exhibited strong specificity among individual hyenas. Thus, our findings suggest that site-specific niche selection is a primary driver of microbiota structure in mammals, but endogenous host factors may also be influential.


2005 ◽  
Vol 71 (1) ◽  
pp. 174-182 ◽  
Author(s):  
Hidetoshi URAKAWA ◽  
Tsutomu YOSHIDA ◽  
Masahiko NISHIMURA ◽  
Kouichi OHWADA

2020 ◽  
Author(s):  
Joanne B. Emerson ◽  
Ruth K. Varner ◽  
Martin Wik ◽  
Donovan H. Parks ◽  
Rebecca B. Neumann ◽  
...  

AbstractNorthern post-glacial lakes are a significant and increasing source of atmospheric carbon (C), largely through ebullition (bubbling) of microbially-produced methane (CH4) from the sediments1. Ebullitive CH4 flux correlates strongly with temperature, suggesting that solar radiation is the primary driver of these CH4 emissions2. However, here we show that the slope of the temperature-CH4 flux relationship differs spatially, both within and among lakes.Hypothesizing that differences in microbiota could explain this heterogeneity, we compared site-specific CH4 emissions with underlying sediment microbial (metagenomic and amplicon), isotopic, and geochemical data across two post-glacial lakes in Northern Sweden. The temperature-associated increase in CH4 emissions was greater in lake middles—where methanogens were more abundant—than edges, and sediment microbial communities were distinct between lake edges and middles. Although CH4 emissions projections are typically driven by abiotic factors1, regression modeling revealed that microbial abundances, including those of CH4-cycling microorganisms and syntrophs that generate H2 for methanogenesis, can be useful predictors of porewater CH4 concentrations. Our results suggest that deeper lake regions, which currently emit less CH4 than shallower edges, could add substantially to overall CH4 emissions in a warmer Arctic with longer ice-free seasons and that future CH4 emission predictions from northern lakes may be improved by accounting for spatial variations in sediment microbiota.


2017 ◽  
Vol 78 ◽  
pp. 234-240 ◽  
Author(s):  
Tiffany Y. Lin ◽  
Saeedreza Hafeznezami ◽  
Lynn Rice ◽  
Janna Lee ◽  
Amanda Maki ◽  
...  

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