Integrating population information using DNA methylation to explore the
spatiotemporal dynamics and developmental mechanisms of populations
- Wei Liu,
- Chu Jiang,
- Zheng-Feng Wang,
- Jie Chen,
- Hong-Ling Cao,
- Yong-Biao Lin,
- Xue-Jun Oyang,
- Ru-Fang Deng,
- Yang Liu,
- Wanhui Ye,
- Ju-Yu Lian
Chu Jiang
South China Botanical Garden, Chinese Academy of Sciences
Author ProfileZheng-Feng Wang
South China Botanical Garden, Chinese Academy of Sciences
Author ProfileJie Chen
Research Institute of Tropical Forestry Chinese Academy of Forestry
Author ProfileHong-Ling Cao
South China Botanical Garden, Chinese Academy of Sciences
Author ProfileYong-Biao Lin
South China Botanical Garden, Chinese Academy of Sciences
Author ProfileXue-Jun Oyang
South China Botanical Garden, Chinese Academy of Sciences
Author ProfileRu-Fang Deng
South China Botanical Garden, Chinese Academy of Sciences
Author ProfileWanhui Ye
South China Botanical Garden, Chinese Academy of Sciences
Author ProfileJu-Yu Lian
South China Botanical Garden, Chinese Academy of Sciences
Author ProfileAbstract
Serious disconnection among researches on individual physiological
adaption, population genetic diversity and spatiotemporal demography has
obstructed us in the knowledge of plant population ecology. Here we
develop an approach to integrate those three research aspects by taking
advantage of recent knowledge about DNA methylation and multivariate
analysis. We show that by using various epigenetic parameters
corresponding to individual physiological metabolic reprogramming
potential, gene expression repression degree and physiological reaction
characteristics, the contribution of various biotic and abiotic factors
to an individual state and population structure can be quantified.
Furthermore, population dynamics can be narrowly estimated by analysing
DNA methylation of populations at different developmental stages. This
study demonstrates an approach for the overall analysis of plant
populations and exploring the spatiotemporal dynamics and developmental
mechanisms of a population using Castanopsis chinensis as the model
species.