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Updated: Jan 22, 2026

Chromatin Immunoprecipitation ChIP Protocol for Low-abundance Embryonic Samples

Chromatin Immunoprecipitation ChIP Protocol for Low-abundance Embryonic Samples

Published on: August 29, 2017

Quantifying spatiotemporal variability and noise in absolute microbiota abundances using replicate sampling.

Brian W Ji^1,2, Ravi U Sheth^1,2, Purushottam D Dixit¹

¹Department of Systems Biology, Columbia University, New York, NY, USA.

|July 17, 2019

Summary

This summary is machine-generated.

A new method, Decomposition of Variance Using Replicate Sampling (DIVERS), quantifies microbial community variability. It reveals technical noise impacts gut microbes and highlights spatial and temporal factors in soil and gut ecosystems.

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Area of Science:

Microbiology
Bioinformatics
Ecology

Background:

Metagenomic sequencing allows microbial community analysis.
Understanding spatiotemporal variability in microbial communities is crucial but challenging.

Purpose of the Study:

To introduce Decomposition of Variance Using Replicate Sampling (DIVERS), a novel method.
To quantify sources of variation (temporal, spatial, technical) in microbial absolute abundances.

Main Methods:

DIVERS utilizes replicate sampling and spike-in sequencing.
Applied to a human gut microbiome time series and a soil bacterial community spatial survey.

Main Results:

Technical noise significantly impacted gut microbial abundance variability for many taxa.
DIVERS identified substantial spatial heterogeneity in the gut microbiome.
Soil microbial communities showed dominance of spatial variability at short timescales and temporal variability at longer timescales.

Conclusions:

DIVERS is effective for dissecting microbial community variability.
Gut microbiome variability is influenced by technical noise, spatial heterogeneity, and temporal dynamics.
Soil microbial community dynamics are shaped by both spatial and temporal factors over different timescales.