Evidence map›Paper›PMID 40104686›Full record

ArticlePNAS nexus2025

Natural-selected plastics biodegradation species and enzymes in landfills.

Xiaoxing Lin, Rui Zhang, Feng-Qi Cui, Wenqing Hong, Shu Yang, Feng Ju, Chuanwu Xi, Xiao Sun, Liyan Song

Abstract read
In one paragraph

Article in PNAS nexus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
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

9 authors.

Xiaoxing LinSchool of Resources and Environmental Engineering, Anhui University, Hefei 230601, China.
Rui ZhangSchool of Resources and Environmental Engineering, Anhui University, Hefei 230601, China.ORCID https://orcid.org/0000-0002-4210-6570
Feng-Qi CuiInstitute of Advanced Technology, University of Science and Technology of China, Hefei 230601, China.ORCID https://orcid.org/0000-0002-0454-940X
Wenqing HongSchool of Resources and Environmental Engineering, Anhui University, Hefei 230601, China.ORCID https://orcid.org/0009-0005-5692-9526
Shu YangInstitute of Public Health Sciences, Division of Life Science and Medicine, University of Science and Technology of China, Hefei 230026, China.
Feng JuEnvironmental Microbiome and Biotechnology Laboratory (EMBLab), Key Laboratory of Coastal Environment and Resources of Zhejiang Province, School of Engineering, Westlake University, Hangzhou 310030, China.ORCID https://orcid.org/0000-0003-4137-5928
Chuanwu XiDepartment of Environmental Health Sciences, University of Michigan, Ann Arbor, MI 48109, USA.
Xiao SunSchool of Computer Science and Information Engineering, Hefei University of Technology, Hefei 230601, China.ORCID https://orcid.org/0000-0001-9750-7032
Liyan SongSchool of Resources and Environmental Engineering, Anhui University, Hefei 230601, China.ORCID https://orcid.org/0000-0002-6037-5838

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biodegradation is a promising and environmentally friendly strategy for plastic pollution management. Landfills decompose municipal solid waste, including almost 50% of global plastic debris and even some of the oldest synthetic plastics, fostering naturally selected plastic biodegradation. Herein, we present a global collection of plastic biocatalytic enzymes from landfills using metagenomics and machine learning. Metagenomic analysis identified 117 plastic-degrading genes, with 39 incorporated in 22 prokaryotic metagenome-assembled genomes (MAGs). A machine-learning approach predicted 978,107 candidate plastic-degrading genes, 712 of which were encoded respectively by 150 MAGs. Our results highlight landfills as reservoirs of diverse, naturally selected plastic-degrading microbes and enzymes, serving as references and/or models for biocatalysis engineering and in situ bioremediation of plastic pollution.

Indexed as

bioresourceslandfillmachine learningmetagenomicsplastic biodegradation

Identifiers

PMID40104686
PMCPMC11915214

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.