G-matrix analysis (Plantae)

Knowledge graph centered on G-matrix analysis (Plantae) with 70 nodes and 137 connections. Top connected: Arabidopsis thaliana, Evolvability and trait function predict phenotypic, Soil characteristics, Genetic diversity, local adaptation.

Method synopsis

Compilation and analysis of published plant population divergence data paired with evolvability estimates to test macroevolutionary predictions. Uses proportional divergence metrics and meta-analytical modeling approaches.

Synthesized from method descriptions across 2 papers using this protocol.

Procedure as described in the canonical source

Steps below were extracted from the paper that introduces this protocol — Evolvability and trait function predict phenotypic divergence of plant populations (2023), Proceedings of the National Academy of Sciences. Implementations in other papers (listed below) may differ.

1. Database compilation of plant population divergence studies
   Searched for available population divergence data including population means and variances for plant species, starting from original papers and tracking additional references. Focused on studies with quantified trait measurements across multiple populations within species.
   Quantities: 2666 trait means from 314 populations of 33 species representing 20 familiesDuration: Not specifiedConditions: Literature search across available publications
   Equipment: literature databases
2. Define divergence studies and calculate proportional divergence
   Defined divergence study as set of population means measured in same field survey or common-garden experiment. Calculated proportional divergence on factor dp where trait mean evolved to dp times larger or 1/dp times smaller than average population, with values >1.005 indicating divergence above measurement noise.
   Quantities: 273 floral traits, 80 vegetative traits analyzedDuration: Not specifiedConditions: Standardized analysis across all studies
   Equipment: statistical software
3. Estimate evolvability-divergence relationships using meta-analytical models
   Fitted meta-analytical models including inverse measurement error variance for each estimate, using ln-transformed population variance matrix and proportional among-population variance matrix. Estimated regression slope of divergence on evolvability on log-log scale, correcting by factor 1-Vme/V where Vme is measurement error variance.

Typical Equipment

• literature databases
• statistical software
• R
• glmmTMB R package

Output Measurements

• proportional divergence
• evolvability-divergence slopes
• variance explained

Papers Using This Protocol (2)

Species Studied With This Protocol

Places Where Used