Predicting the acclimatisation of microbial wastewater treatment communities as a function of the environment, random immigration, birth and death

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Title
Predicting the acclimatisation of microbial wastewater treatment communities as a function of the environment, random immigration, birth and death

CoPED ID
68fd2df6-00a8-46ed-a2be-20dd63cea5db

Status
Closed

Funders

Value
£416,554

Start Date
June 29, 2010

End Date
Feb. 28, 2014

Description

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For a wastewater treatment plant to work dozens, perhaps hundreds, of different species of bacteria and protozoa must come together to form a microbial community that will transform the waste into biomass, CO2 or some other, hopefully less harmful, substance. Once formed the microbial community will often go through processes of acclimatisation where it adapts to changes in environmental conditions. This is a fundamental aspect of all biological treatment that, at present we can only engineer empirically. There is no a priori method for determining how long it will take for a reactor to acquire or lose a particular adaptation and practitioners are often have little more to go on than luck and judgment. In this proposal we aim to develop mathematical model for predicting acclimitisation. We will conduct a definitive set of experiments along with a comprehensive statistical analysis to ascertain the relative importance of environmental and stochastic effects in determining the composition of microbial communities used to treat wastewater. We will concentrate on the predicting shifts in community composition that will occur in response to systematic changes in ambient temperature. This has particular relevance to anaerobic systems which are attractive to the water industry because of their low carbon foot print, but are very sensitive to low temperatures. Cold adapted methanogenic communities are known to exist and in principle they could be used to seed a cold adapted anaerobic reactor. However, if such a reactor was run at ambient temperatures it would lose its cold adaptation in warmer months. Thus a theoretical framework for predicting the rate of acclimatisation in a reactor could be used very widely. Applications could stretch far beyond the environmental services industry. The same conceptual and mathematical approach will have value in all open microbiological systems be they engineered, medical or agricultural and could be critical to the application of engineered organisms envisaged in the nascent field of synthetic biology.

William Sloan PI_PER

Subjects by relevance
  1. Harmful substances
  2. Waste treatment
  3. Temperature
  4. Bacteria
  5. Climate changes
  6. Environmental effects
  7. Environmental changes
  8. Sewage

Extracted key phrases
  1. Microbial wastewater treatment community
  2. Microbial community
  3. Wastewater treatment plant
  4. Community composition
  5. Methanogenic community
  6. Biological treatment
  7. Acclimatisation
  8. Environmental service industry
  9. Anaerobic reactor
  10. Low carbon foot print
  11. Cold adaptation
  12. Low temperature
  13. Ambient temperature
  14. Environmental condition
  15. Random immigration

Related Pages

UKRI project entry

UK Project Locations