Evidence map›Paper›PMID 41663920›Full record

ArticleBMC microbiology2026

Metagenomic sequencing and binning reveal carbon cycling microorganisms and gene functions in park environments.

Yuan Qian, Chenwei Shi, Yu Wang, Qian Han, Qiaoling Yu, Maoping Li, Huan Li

Abstract read
In one paragraph

Article in BMC microbiology, 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
–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

7 authors.

Yuan Qian *Institute of Occupational and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, 730000, China.
Chenwei Shi *Institute of Occupational and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, 730000, China.
Yu WangInstitute of Occupational and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, 730000, China.
Qian HanInstitute of Occupational and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, 730000, China.
Qiaoling YuCollege of Pastoral Agriculture Science and Technology, State Key Laboratory of Grassland Agro-Ecosystems, Lanzhou University, Lanzhou, 730000, China.
Maoping LiCollege of Pastoral Agriculture Science and Technology, State Key Laboratory of Grassland Agro-Ecosystems, Lanzhou University, Lanzhou, 730000, China. limp@lzu.edu.cn.
Huan LiInstitute of Occupational and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, 730000, China. lihuanzky@163.com.

Funding

Gansu Province Science and Technology Plan for Youth Science Fund 24JRRA458Medical Innovation and Development Project of Lanzhou University lzuyxcx-2022-172National Natural Science Foundation of China 32471575
6 · The paper itself

Abstract

In the midst of increasing global warming and accelerated urbanization, urban parks, serving as significant carbon sinks, are increasingly recognized for their role in mitigating the urban heat island effect. However, limited research investigating the urban park carbon cycle hinders our full understanding and effective use of their carbon sink potential. This study employed metagenomics sequencing and 16S rRNA gene sequencing to characterize the carbon cycle and its influencing factors within soil and water from collected from nine city parks. Notably, the abundance and alpha diversity of carbon cycle microbes and genes were higher in soil compared to water. Specifically, soil samples exhibited enrichment of carbon cycling genes involved primarily in polysaccharide metabolism, particularly those associated with starch and cellulose metabolism. Conversely, water samples, revealed a greater prevalence of genes associated with chitin metabolism. The most important factor affecting soil carbon cycling genes was bacterial community, followed by non-nutritional factors and nutrient factors, while heavy metals demonstrated no effect on soil carbon cycling genes. The most important factor affecting water carbon cycling genes was only bacterial community. The analysis yielded 381 high-quality metagenomic assembled genomes (MAGs) containing carbon cycling genes, with significant covariation observed between the pta and carbon cycling genes ackA and acyP, which encode cellulose degradation functions. These findings contribute to a better understanding of microbial carbon metabolism within urban parks and offer a foundation for effective carbon emission management strategies.

Indexed as

BacteriaCarbon CycleMetagenomicsParks, RecreationalSoil MicrobiologyCarbonMetagenomeMicrobiotaPhylogenyRNA, Ribosomal, 16SSequence Analysis, DNASoilWater MicrobiologyCarbonRNA, Ribosomal, 16SSoilCarbon cycleCarbon cycling genesMetagenomics sequencingSoil and waterUrban park

Identifiers

PMID41663920
PMCPMC12983852

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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.