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Microbial Species Abundance Distributions Guide Human Population Size Estimation from Sewage Metagenomes

user-6078fb444c775e0497f4d030(2020)

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Abstract
The metagenome embedded in urban sewage is an attractive new data source to understand urban ecology and assess human health status at scales beyond a single host. However, using census-based population size instead of real-time population estimates can mislead the interpretation of data acquired from sewage, hindering assessment of representativeness, inference of prevalence, or comparisons of taxa across sites. Here, we develop a new method to estimate human population size in light of recent developments in species-abundance distributions of microbial ecosystems. Using a population-scale human gut microbiome sample of over 1,100 people, we found that taxon-abundance distributions of gut-associated multi-person microbiomes exhibited generalizable relationships in response to human population size. We present a new non-parametric model, MicrobiomeCensus, for estimating human population size from sewage samples. MicrobiomeCensus harnesses the inter-individual variability in human gut microbiomes and performs maximum likelihood estimation based on simultaneous deviation of multiple taxon relative abundances from their population means. MicrobiomeCensus outperformed generic algorithms in data-driven simulation benchmarks and detected population size differences in field data. This research provides a mathematical framework for inferring population sizes in real time from sewage samples, paving the way for more accurate ecological and public health studies utilizing the sewage metagenome.
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Key words
Population size,Population,Metagenomics,Sewage,Sample (statistics),Urban ecology,Taxon,Relative species abundance,Ecology,Geography
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