Elizabeth Edwards and Radhakrishnan Mahadevan of the University of Toronto are developing computational models using microbial genomes and metagenomes to uncover metabolic interactions in complex anaerobic microbial communities. They will identify and validate metabolic gaps pointing to metabolites exchanged among an anaerobic subsurface mixed microbial community that contains microbes used for bioremediation of toxic chlorinated solvents. This project aims to boost the efficiency of dechlorination in groundwater remediation, and resolve metabolic gaps in genome-scale models at the microbial community level.
As pressures on Canada’s freshwater water supplies grow, the Canadian mining sector is seeking to develop the most sustainable approaches to mining. Dr. Lesley A. Warren of the University of Toronto, along with Dr. Jillian Banfield of University of California, Berkeley, is leading a project that will apply genomics, geochemistry and modeling to mining wastewaters to develop tools to better monitor, manage and reduce sulphur compounds in wastewaters. This project will lower management costs, decrease risk of environmental damage, and better safeguard Canada’s freshwater supplies.
As a result of extraction, transportation and refining processes, as well as accidental spills and leaks, BTEX compounds – benzene, toluene, ethylbenzene and xylenes – frequently pollute groundwater in all industrialized regions of the globe. In Canada and elsewhere, remediation of contaminated sites is difficult and costly. When possible, affected soils are dug up and treated or disposed of offsite. With $1 million awarded through the GAPP program, Dr. Elizabeth Edwards of the University of Toronto is working with SiREM, a Canadian leader in bioremediation, to scale up and commercialize anaerobic bioaugmentation cultures for in situ BTEX remediation.
Researchers declared the human genome fully-mapped in 2003, after more than a decade of work. Today, says geochemist Lesley Warren, that same project would take a matter of weeks and be a fraction of the cost, and so the moment has arrived to put these advanced tools to work to solve mining most pressing challenges- “the tools are finally at a point where we can apply them readily.” This presentation was part of McEwen Mining’s Innovation Lunch and Learn Series, hosted at the company’s Toronto office.
Lesley Warren of McMaster University and Stephanie Marshall of Glencore discuss how their collaboration can help better the understanding of the role microbes play, and how genomics information can be used to meet the goals of the mining industry.
A report prepared by SRK Consulting identifying the ways in which the science of genomics could benefit the mining industry, economically and environmentally. The analyses reveals the many potential applications for genomics within mining, supporting activities ranging from exploration geology, baseline studies, and mineral extraction, to remediation and mine closure.
With the help of Ontario Genomics, Ambiotek, an emerging company developing ea phytostabilization technology for use towards mine tailings reclamation, has partnered with Drs Daniel Campbell, Nathan Basiliko and Nadia Mykytczukat of the Vale Living with Lakes Centre at Laurentian University. Together, they are working to characterize the rhizosphere microbial communities of plants that grow on tailings near Sudbury, Ontario, with the long term aim of further developing the phytostabilization technology for colder environments.
A fact sheet created by Genome Canada exploring the ways genomics can help find solutions to the challenges facing Canada’s energy sector. Enhancing hydrocarbon energy, coal and metal mining operations through genomics can help boost Canada’s outputs and advance international leadership in a field already worth $1.25 trillion.
A Genome Canada Sector Strategy led by Genome Alberta and Ontario Genomics, presenting a blueprint to advance the energy and mining sector through integration of recent scientific breakthroughs with existing industry operations, and new biotechnological processes.