Harnessing the power of fecal microbial communities to assess health risks in the environment Eric Dubinsky Lawrence Berkeley National Laboratory.

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Presentation transcript:

Harnessing the power of fecal microbial communities to assess health risks in the environment Eric Dubinsky Lawrence Berkeley National Laboratory

Microbes love your guts 100 trillion microbial cells in human gut Diverse: 300 – 1000 species in each gut At least 80% of species uncultivated, known only by DNA sequencing Conventional tests do not measure most fecal bacteria

Community DNA sequence analysis: taking stock of everybody Comprehensive census of microbial community is cheaper, faster than ever Opportunity to use communities instead of single markers to identify pathogen sources and health risks Can develop tests that are far more specific and accurate than current assays for monitoring fecal pollution

Clean Beaches Project Use PhyloChip to improve fecal source tracking in recreational waters Develop new fecal indicator tests based on microbial community differences among suspected fecal sources Identify bacteria associated with bad water quality at popular California beaches to determine source of contamination

Fecal samples can be classified based on microbial community composition Detected 1548 different bacterial subfamilies in fecal samples Human sources form distinct cluster despite type of waste processing Little variation among populations of ruminant animals Variation among populations of each bird species greater than mammals cow elk horse sea lion seal sewage septage gull pelicangull pelican gull pigeon cormorantgoose grazerspinnipeds humans birdsmammals

Field application: sewage spill monitoring 764,000 gallon sewage spill from Sausalito treatment plant into San Francisco Bay (2009) Were high bacteria counts in Bay due to sewage spill?

Are human, cattle or wildlife causing water quality problems at popular California beaches?

Blinded study: PhyloChip the only method that identified all fecal sources True positive rate Number false positives Chicken1000 Cow751 Deer1000 Dog1000 Goose1002 Gull830 Horse1000 Human stool1000 Pig1000 Pigeon1000 Septage1000 Sewage930