Evidence map›Paper›PMID 42389124›Full record

ArticleFrontiers in plant science2026

Differences in carbon sequestration capacity, rhizosphere microorganisms and metabolic functions among different herbaceous plants.

Yu Zhou, Pushun Bian, Chen Yang, Jiayan Qu, Huaying Wang, Wei Gao

Abstract read
In one paragraph

Article in Frontiers in plant science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Yu ZhouCollege of Landscape Architecture, Changchun University, Changchun, Jilin, China.
Pushun BianCollege of Landscape Architecture, Changchun University, Changchun, Jilin, China.
Chen YangSchool of Life Sciences, Northeast Normal University, Changchun, Jilin, China.
Jiayan QuSchool of Life Sciences, Northeast Normal University, Changchun, Jilin, China.
Huaying WangSchool of Life Sciences, Northeast Normal University, Changchun, Jilin, China.
Wei GaoCollege of Landscape Architecture, Changchun University, Changchun, Jilin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mitigating the rapid increase in global CO₂ concentrations necessitates a deeper understanding of plant-microbe symbiotic carbon sequestration. While previous research has predominantly focused on woody plants, the carbon sequestration potential and mechanisms of herbaceous plants and their rhizosphere microbiomes remain largely underexplored. To address this gap, this study employed metagenomic technology to systematically investigate the carbon sequestration capacities and metabolic mechanisms of seven plant species and their rhizosphere soil microorganisms. Plant physiological measurements were integrated with microbial functional profiles predicted via PICRUSt2. The results show that the rhizosphere soil microbial communities generally possess functional genes for carbon decomposition and carbon fixation, providing evidence for the coupling of intracellular decomposition and synthesis metabolism in microorganisms. Notably, Spearman correlation analysis established a direct statistical link between plant physiological performance and specific microbial metabolic pathways. These findings demonstrate a functional coupling between plant physiology and rhizosphere microbial carbon metabolism. By linking plant phenotypes to microbial gene pathways, this study reveals that herbaceous plants and their rhizosphere microbiomes form an integrated carbon sequestration system. Therefore, leveraging such plant-soil interactions offers a promising strategy to enhance ecosystem carbon sinks and mitigate rising atmospheric CO₂.

Indexed as

carbon sequestrationgarden herbaceous plantsmetabolic functionsmetagenomicsrhizosphere microorganisms

Identifiers

PMID42389124
PMCPMC13320889

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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.