Abdul Sheik

Lipid-based biofuel production from wastewater.

Increasing world population, urbanization and industrialization are driving global increases in wastewater production. Wastewater comprises significant amounts of chemical energy primarily in the form of organic molecules (in particular lipids), which are currently not being recovered comprehensively. Within biological wastewater treatment (BWWT) systems, specialized microorganisms assimilate and store lipids anaerobically. These intracellular stores represent interesting feedstocks for biofuel synthesis. Here, we review our current understanding of the genetic and functional basis for bacterial lipid accumulation and processing, and relate this to lipid accumulating bacterial populations which occur naturally in BWWT plants. A grand challenge for microbial ecologists and engineers now lies in translating this knowledge into the design of new BWWT processes for the comprehensive recovery of lipids from wastewater streams and their subsequent conversion into biofuel.

A hundred years of activated sludge: time for a rethink

Biological wastewater treatment plants (BWWTPs) based on the activated sludge (AS) process have dramatically improved worldwide water sanitation despite increased urbanization and industrialization. However, current AS-based operations are considered economically and environmentally unsustainable. In this Perspective, we discuss our current understanding of microbial populations and their metabolic transformations in AS-based BWWTPs in view of developing more sustainable processes in the future. In particular, much has been learned over the course of the past 25 years about specialized microorganisms, which could be more comprehensively leveraged to recover energy and/or nutrients from wastewater streams. To achieve this, we propose a bottom-up design approach, focused around the concept of a “wastewater biorefinery column”, which would rely on the engineering of distinct ecological niches into a BWWTP in order to guarantee the targeted enrichment of specific organismal groups which in turn will allow the harvest of high-value resources from wastewater. This concept could be seen as a possible grand challenge to microbial ecologists and engineers alike at the centenary of the discovery of the AS process.

Integrated omics for the identification of key functionalities in biological wastewater treatment microbial communities

Biological wastewater treatment plants harbour diverse and complex microbial communities which prominently serve as models for microbial ecology and mixed culture biotechnological processes. Integrated omic analyses (combined metagenomics, metatranscriptomics, metaproteomics and metabolomics) are currently gaining momentum towards providing enhanced understanding of community structure, function and dynamics in situ as well as offering the potential to discover novel biological functionalities within the framework of Eco‐Systems Biology. The integration of information from genome to metabolome allows the establishment of associations between genetic potential and final phenotype, a feature not realizable by only considering single ‘omes’. Therefore, in our opinion, integrated omics will become the future standard for large‐scale characterization of microbial consortia including those underpinning biological wastewater treatment processes. Systematically obtained time and space‐resolved omic datasets will allow deconvolution of structure–function relationships by identifying key members and functions. Such knowledge will form the foundation for discovering novel genes on a much larger scale compared with previous efforts. In general, these insights will allow us to optimize microbial biotechnological processes either through better control of mixed culture processes or by use of more efficient enzymes in bioengineering applications.

In situ phenotypic heterogeneity among single cells of the filamentous bacterium Candidatus Microthrix parvicella.

Microorganisms in biological wastewater treatment plants require adaptive strategies to deal with rapidly fluctuating environmental conditions. At the population level, the filamentous bacterium Candidatus Microthrix parvicella (Ca. M. parvicella) has been found to fine-tune its gene expression for optimized substrate assimilation. Here we investigated in situ substrate assimilation by single cells of Ca. M. parvicella using nano-scale secondary-ion mass spectrometry (nanoSIMS). NanoSIMS imaging highlighted phenotypic heterogeneity among Ca. M. parvicella cells of the same filament, whereby 13C-oleic acid and 13C-glycerol-3-phosphate assimilation occurred in ≈21–55% of cells, despite non-assimilating cells being intact and alive. In response to alternating aerobic–anoxic regimes, 13C-oleic acid assimilation occurred among subpopulations of Ca. M. parvicella cells (≈3–28% of cells). Furthermore, Ca. M. parvicella cells exhibited two temperature optima for 13C-oleic acid assimilation and associated growth rates. These results suggest that phenotypic heterogeneity among Ca. M. parvicella cells allows the population to adapt rapidly to fluctuating environmental conditions facilitating its widespread occurrence in biological wastewater treatment plants.