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Related Experiment Video

Updated: Mar 24, 2026

A Telemetric, Gravimetric Platform for Real-Time Physiological Phenotyping of Plant–Environment Interactions

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Published on: August 5, 2020

A computational framework for mapping the timing of vegetative phase change.

Meng Xu¹, Libo Jiang², Sheng Zhu¹

¹Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, 210037, China.

The New Phytologist

|March 10, 2016

Summary

This study introduces a computational model to understand the genetic basis of plant phase change. It identifies key quantitative trait loci (QTLs) that regulate developmental timing and patterns in Populus trees.

Keywords:

Populus functional mapping growth equation phase change quantitative trait loci (QTLs)

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Area of Science:

Developmental Biology
Plant Genetics
Computational Biology

Background:

Phase change is crucial for plant growth and development, yet its genetic architecture remains poorly understood.
Existing research has focused on regulatory mechanisms but lacks a detailed genetic framework for phase transition.

Purpose of the Study:

To develop and apply a computational model for characterizing the genetic control of plant phase change.
To investigate the interplay between quantitative trait loci (QTLs) and developmental timing using functional mapping.

Main Methods:

Developed a computational model based on functional mapping and multiphasic growth equations.
Implemented hypothesis testing to quantify how QTLs influence the timing and pattern of vegetative phase transition.
Applied the model to analyze stem radial growth data from a Populus interspecific hybrid family over 24 years.

Main Results:

Identified several key QTLs significantly associated with phase change in Populus.
Located most identified QTLs adjacent to known candidate genes.
Demonstrated the model's capability to quantify QTL regulation of developmental timing.

Conclusions:

The study provides a novel computational approach to dissect the genetic basis of plant phase change.
Identified phase transition QTLs offer insights into developmental plasticity and evolution in response to environmental changes.