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Molecular-level carbon traits underlie the multidimensional fine root economics space.
Wang, Mengke; Kong, Deliang; Mo, Xiaohan; Wang, Yinghui; Yang, Qingpei; Kardol, Paul; Valverde-Barrantes, Oscar J; Simpson, Myrna J; Zeng, Hui; Reich, Peter B; Bergmann, Joana; Tharayil, Nishanth; Wang, Junjian.
Afiliação
  • Wang M; State Environmental Protection Key Laboratory of Integrated Surface Water-Groundwater Pollution Control, School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, Guangdong, China.
  • Kong D; Guangdong Provincial Key Laboratory of Soil and Groundwater Pollution Control, School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, Guangdong, China.
  • Mo X; College of Forestry, Henan Agricultural University, Zhengzhou, Henan, China. deliangkong1999@126.com.
  • Wang Y; School of Urban Planning and Design, Peking University Shenzhen Graduate School, Peking University, Shenzhen, Guangdong, China.
  • Yang Q; State Environmental Protection Key Laboratory of Integrated Surface Water-Groundwater Pollution Control, School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, Guangdong, China.
  • Kardol P; Guangdong Provincial Key Laboratory of Soil and Groundwater Pollution Control, School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, Guangdong, China.
  • Valverde-Barrantes OJ; College of Forestry, Henan Agricultural University, Zhengzhou, Henan, China.
  • Simpson MJ; Department of Forest Mycology and Plant Pathology, Swedish University of Agricultural Sciences, Uppsala, Sweden.
  • Zeng H; Department of Forest Ecology and Management, Swedish University of Agricultural Sciences, Umeå, Sweden.
  • Reich PB; Department of Biological Sciences, International Center for Tropical Biodiversity, Florida International University, Miami, FL, USA.
  • Bergmann J; Environmental NMR Centre and Department of Physical and Environmental Sciences, University of Toronto Scarborough, Toronto, Ontario, Canada.
  • Tharayil N; School of Urban Planning and Design, Peking University Shenzhen Graduate School, Peking University, Shenzhen, Guangdong, China.
  • Wang J; Department of Forest Resources University of Minnesota St, Paul, Minneapolis, MN, USA.
Nat Plants ; 10(6): 901-909, 2024 06.
Article em En | MEDLINE | ID: mdl-38740944
ABSTRACT
Carbon influences the evolution and functioning of plants and their roots. Previous work examining a small number of commonly measured root traits has revealed a global multidimensionality of the resource economics traits in fine roots considering carbon as primary currency but without considering the diversity of carbon-related traits. To address this knowledge gap, we use data from 66 tree species from a tropical forest to illustrate that root economics space co-varies with a novel molecular-level traits space based on nuclear magnetic resonance. Thinner fine roots exhibit higher proportions of carbohydrates and lower diversity of molecular carbon than thicker roots. Mass-denser fine roots have more lignin and aromatic carbon compounds but less bioactive carbon compounds than lighter roots. Thus, the transition from thin to thick fine roots implies a shift in the root carbon economy from 'do-it-yourself' soil exploration to collaboration with mycorrhizal fungi, while the shift from light to dense fine roots emphasizes a shift from acquisitive to conservative root strategy. We reveal a previously undocumented role of molecular-level carbon traits that potentially undergird the multidimensional root economics space. This finding offers new molecular insight into the diversity of root form and function, which is fundamental to our understanding of plant evolution, species coexistence and adaptations to heterogeneous environments.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article