生物量(生态学)
光合作用
分生组织
生物
植物
鲁比斯科
多倍体
光合效率
倍性
生物化学
生态学
基因
开枪
作者
Jie Liu,Dang Yang,Xin Li,Zexin Jin,Junmin Li
标识
DOI:10.1016/j.scienta.2023.112751
摘要
Elsholtzia splendens is an ideal plant species for remediating copper-contaminated soils. However, its application range is regrettably hindered by its generally low biomass and rather narrow range of suitable growing conditions. Polyploid technique is a shortcut to enhance biomass and environmental adaptability of plant, which may become an important breakthrough to improve application value of E. splendens. In this study, tetraploid E. splendens (2n = 4x = 32) was successfully obtained from wild E. splendens (2n = 2x = 16) using a primary meristem processing technique for the first time, exhibiting a huge biomass advantage. In order to find out the underlying mechanism for its huge biomass advantage, a series of difference assessments between two ploidy-level E. splendens were performed, including morphological, anatomical, physiological, photosynthesis, transcriptome and endogenous hormones experiments. All the results consistently showed that enhanced photosynthesis and alterated cell differentiation function drove significant biomass increase. During the process of excavating molecular mechanism deeply, five hub genes (regulating Rubisco, light-harvesting chlorophyII a/b-binding protein 2 (Lhcb2), photosystem I subunit PsaO (PsaO), magnesium protoporphyrin IX methyltransferase (ChlM) and lateral organ boundaries (LOB) domain (LBD)) were found to play extremely vital roles in biomass increase regulation. Especially, LOB may be the most key factor resulting in the transformation of E. splendens from a single plant to a cluster, ultimately leading to biomass multiplication. Finally, a responsive model was proposed to elucidate the regulatory mechanisms of huge biomass in the tetraploid E. splendens. The present findings provide new evidence for understanding the complex regulatory networks responsible for remarkable biomass increase in polyploid plants.
科研通智能强力驱动
Strongly Powered by AbleSci AI