Two-stage Bayesian bacterial abundance modeling (Brassicaceae)

Knowledge graph centered on Two-stage Bayesian bacterial abundance modeling (Brassicaceae) with 30 nodes and 107 connections. Top connected: Rocky Mountain Biological Laboratory, Crested Butte, Boechera stricta, Bacteria, native plants.

Method synopsis

Novel two-stage modeling approach incorporating uncertainty in bacterial load estimation. First stage models bacterial load estimator vs herbivore damage, second stage predicts CFU values with uncertainty propagation.

Synthesized from method descriptions across 1 paper using this protocol.

Procedure as described in the canonical source

Steps below were extracted from the paper that introduces this protocol — Insect herbivory reshapes a native leaf microbiome (2020), Nature Ecology & Evolution. Implementations in other papers (listed below) may differ.

1. Analyze population-level co-aggregation
   Focus analysis on most highly abundant bacterial taxon (Pseudomonas3) at both field sites. Calculate predicted abundance on linear scale summed across leaves within each plant patch. Determine cumulative proportion of total Pseudomonas3 population harbored by plant patches with differing herbivory levels.
   Quantities: Analysis across all plant patches at both study sites with varying herbivory levelsDuration: Computational analysis timeframe not specifiedConditions: Post-field season computational analysis
   Equipment: statistical software for modeling

Typical Equipment

• statistical software for modeling

Output Measurements

• predicted bacterial abundance
• posterior distributions
• ecological diversity metrics

Papers Using This Protocol (1)

Species Studied With This Protocol

Places Where Used