GithubHelp home page GithubHelp logo

newtonlabuwm / sewage_timeseries Goto Github PK

View Code? Open in Web Editor NEW
2.0 2.0 1.0 27.49 MB

Data and code for LaMartina et al., 2021

R 90.86% Perl 8.42% Shell 0.72%
wastewater-bacterial-communities wastewater-treatment milwaukee sewers microorganisms 16s-rrna microbial-ecology microbial-communities

sewage_timeseries's Introduction

Urban wastewater bacterial communities assemble into seasonal steady states

Emily Lou LaMartina, Aurash A. Mohaimani, Ryan J. Newton

Microbiome 9, Article number: 116 (2021)

Background: Microorganisms in urban sanitary sewers exhibit community properties that suggest sewers are a novel ecosystem. Sewer microorganisms present both an opportunity as a control point for wastewater treatment and a risk to human health. If treatment processes are to be improved and health risks quantified, then it is necessary to understand microbial distributions and dynamics within this community. Here, we use 16S rRNA gene sequencing to characterize raw wastewater bacterial communities in a five-year time series of wastewater treatment plants in Milwaukee, WI; 77 wastewater treatment plants across the United States (US); and in Milwaukee residential sewers.

Results: In Milwaukee, we find that in transit from residences to WWTPs, the human bacterial component of wastewater decreases in proportion and exhibits stochastic temporal variation. In contrast, the resident sewer community increases in biomass and cycles seasonally, assembling into two distinct states each year. Wastewater bacterial communities from other northern US cities follow temporal trends that mirror those in Milwaukee, but southern US cities have distinct community compositions and differ in their seasonal patterns.

Conclusions: Our findings provide evidence that environmental conditions associated with seasonal change and climatic differences related to geography predictably structure the bacterial communities residing in below-ground sewer pipes.

image

FASTQ files

NCBI Sequence Read Archive

PRJNA597057: Wastewater temporal and spatial meta-analysis

sewage_timeseries's People

Contributors

loulanomics avatar newtonlabuwm avatar

Stargazers

 avatar  avatar

Watchers

 avatar  avatar

Forkers

loulanomics

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.