Evidence map›Paper›PMID 38792797›Full record

ArticleMicroorganisms2024

The Combination of

Yuancheng Wang, Ao Li, Bokun Zou, Yongqiang Qian, Xiaoxia Li, Zhenyuan Sun

Abstract read
In one paragraph

Article in Microorganisms, 2024. 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
–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

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.

Yuancheng WangResearch Institute of Forestry, Chinese Academy of Forestry, Beijing 100091, China.
Ao LiResearch Institute of Forestry, Chinese Academy of Forestry, Beijing 100091, China.
Bokun ZouInstitute of Ecological Conservation and Restoration, Chinese Academy of Forestry, Beijing 100091, China.
Yongqiang QianInstitute of Ecological Conservation and Restoration, Chinese Academy of Forestry, Beijing 100091, China.
Xiaoxia LiInstitute of Ecological Conservation and Restoration, Chinese Academy of Forestry, Beijing 100091, China.
Zhenyuan SunResearch Institute of Forestry, Chinese Academy of Forestry, Beijing 100091, China.

Funding

Xiaoxia Li CAFYBB2022XA002
6 · The paper itself

Abstract

Polycyclic aromatic hydrocarbons (PAHs) cause serious stress to biological health and the soil environment as persistent pollutants. Despite the wide use of biochar in promoting soil improvement, the mechanism of biochar removing soil PAHs through rhizosphere effect in the process of phytoremediation remain uncertain. In this study, the regulation of soil niche and microbial degradation strategies under plants and biochar were explored by analyzing the effects of plants and biochar on microbial community composition, soil metabolism and enzyme activity in the process of PAH degradation. The combination of plants and biochar significantly increased the removal of phenanthrene (6.10%), pyrene (11.50%), benzo[a]pyrene (106.02%) and PAHs (27.10%) when compared with natural attenuation, and significantly increased the removal of benzo[a]pyrene (34.51%) and PAHs (5.96%) when compared with phytoremediation. Compared with phytoremediation, the combination of plants and biochar significantly increased soil nutrient availability, enhanced soil enzyme activity (urease and catalase), improved soil microbial carbon metabolism and amino acid metabolism, thereby benefiting microbial resistance to PAH stress. In addition, the activity of soil enzymes (dehydrogenase, polyphenol oxidase and laccase) and the expression of genes involved in the degradation and microorganisms (

Indexed as

biocharBuchloe dactyloidesmicroorganismphytoremediationPolycyclic aromatic hydrocarbons

Identifiers

PMID38792797
PMCPMC11124401

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.