Evidence map›Paper›PMID 38740944›Full record

ArticleNature plants2024

Molecular-level carbon traits underlie the multidimensional fine root economics space.

Mengke Wang, Deliang Kong, Xiaohan Mo, Yinghui Wang, Qingpei Yang, Paul Kardol, Oscar J Valverde-Barrantes, Myrna J Simpson, Hui Zeng, Peter B Reich and 3 more

Abstract read
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In one paragraph

Article in Nature plants, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Mengke WangState 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.
Deliang KongCollege of Forestry, Henan Agricultural University, Zhengzhou, Henan, China. deliangkong1999@126.com.ORCID 0000-0002-3418-3787
Xiaohan MoSchool of Urban Planning and Design, Peking University Shenzhen Graduate School, Peking University, Shenzhen, Guangdong, China.ORCID 0009-0001-0360-3953
Yinghui WangState 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.
Qingpei YangCollege of Forestry, Henan Agricultural University, Zhengzhou, Henan, China.
Paul KardolDepartment of Forest Mycology and Plant Pathology, Swedish University of Agricultural Sciences, Uppsala, Sweden.
Oscar J Valverde-BarrantesDepartment of Biological Sciences, International Center for Tropical Biodiversity, Florida International University, Miami, FL, USA.ORCID 0000-0002-7327-7647
Myrna J SimpsonEnvironmental NMR Centre and Department of Physical and Environmental Sciences, University of Toronto Scarborough, Toronto, Ontario, Canada.
Hui ZengSchool of Urban Planning and Design, Peking University Shenzhen Graduate School, Peking University, Shenzhen, Guangdong, China.
Peter B ReichDepartment of Forest Resources University of Minnesota St, Paul, Minneapolis, MN, USA.ORCID 0000-0003-4424-662X
Joana BergmannLeibniz Centre for Agricultural Landscape Research (ZALF), Müncheberg, Germany.ORCID 0000-0002-2008-4198
Nishanth TharayilDepartment of Plant and Environmental Sciences, Clemson University, Clemson, SC, USA.ORCID 0000-0001-6866-0804
Junjian WangState 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. wangjj@sustech.edu.cn.ORCID 0000-0002-3040-0924

Funding

National Natural Science Foundation of China (National Science Foundation of China) 31670550National Natural Science Foundation of China (National Science Foundation of China) 32171746National Natural Science Foundation of China (National Science Foundation of China) 42122054National Natural Science Foundation of China (National Science Foundation of China) 42192513National Natural Science Foundation of China (National Science Foundation of China) 42321004National Science Foundation (NSF) NSF-DBI-2021898National Science Foundation (NSF) NSF-DEB-1831944Vetenskapsrådet (Swedish Research Council) 2015-04214
6 · The paper itself

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.

Indexed as

CarbonPlant RootsTreesForestsCarbon

Identifiers

PMID38740944

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.