Biodiv Sci ›› 2025, Vol. 33 ›› Issue (2): 24192.  DOI: 10.17520/biods.2024192  cstr: 32101.14.biods.2024192

• Reviews • Previous Articles     Next Articles

Progresses in the study of the relationship between plant genome size and traits

Cao Dong1,2,3(), Li Huanlong1,2,3(), Peng Yang1,2,3(), Wei Cunzheng1,2,3,*()()   

  1. 1 Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
    2 University of Chinese Academy of Sciences, Beijing 100049, China
    3 China National Botanical Garden, Beijing 100093, China
  • Received:2024-05-20 Accepted:2024-08-01 Online:2025-02-20 Published:2024-11-05
  • Contact: *E-mail: weicunzheng@ibcas.ac.cn
  • Supported by:
    National Natural Science Foundation of China(32371620);China Huaneng Group Headquarters Technology Project(HNKJ22-H48)

Abstract:

Background & Aim: Previous studies have found a correlation between genome size (GS) and many distinct traits in plants. However, there is a lack of systematic summarization of these connections. The aim of this review is to provide a comprehensive overview of known relationships between GS and plant traits, while also proposing a new hypothesis to better explain these correlations.

Results: Plant traits were first divided into nine categories: molecule, cell, tissue, organ, individual, population, community, ecosystem and biogeography. Next, we applied our hypothesis to better explain the ecological consequences of GS and the plant evolution in the context of each trait. Our new hypothesis states that there may be two balance points and one optimal point in the range of GS. Changes in environmental factors such as nutrients and moisture will change the position of balance points and optimal point. This shift drives plant GS to evolve to a new optimal point, allowing the plant to adjust to new environmental stresses.

Conclusions: We propose that GS should be considered as a key plant functional trait and incorporated into future predictive models, which will improve our understanding of how communities and ecosystems respond to global environmental challenges, such as nitrogen deposition and extreme drought events.

Key words: genome size, nutrient limitation, water limitation, threshold, natural selection, genetic drift