Evidence map›Paper›PMID 38824157›Full record

ArticleNature communications2024

Engineering natural microbiomes toward enhanced bioremediation by microbiome modeling.

Zhepu Ruan, Kai Chen, Weimiao Cao, Lei Meng, Bingang Yang, Mengjun Xu, Youwen Xing, Pengfa Li, Shiri Freilich, Chen Chen and 3 more

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 77 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
77citing papers in PubMed, 2 pooled it
–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

77 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Principles for Rigorous Design and Application of Synthetic Microbial Communities.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Pooled it
  2. PRISMA-based review ofFrontiers in microbiology · 2026
    Pooled it
  3. Review
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  6. Article
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  9. Article
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  12. Article
  13. Article
  14. Impacts of pollution on the soil microbiome.Nature reviews. Microbiology · 2026
    Review
  15. Review
  16. Review
  17. Article
  18. Review
  19. Biofilm synergy byBiofilm · 2026
    Article
  20. Review

17 more citing papers are in PubMed but not listed here.

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.

Zhepu Ruan *Department of Microbiology, College of Life Sciences, Nanjing Agricultural University, Key Laboratory of Agricultural and Environmental Microbiology, Ministry of Agriculture and Rural Affairs, Nanjing, 210095, China.ORCID http://orcid.org/0000-0002-7713-9399
Kai Chen *Department of Microbiology, College of Life Sciences, Nanjing Agricultural University, Key Laboratory of Agricultural and Environmental Microbiology, Ministry of Agriculture and Rural Affairs, Nanjing, 210095, China.
Weimiao CaoDepartment of Microbiology, College of Life Sciences, Nanjing Agricultural University, Key Laboratory of Agricultural and Environmental Microbiology, Ministry of Agriculture and Rural Affairs, Nanjing, 210095, China.
Lei MengDepartment of Microbiology, College of Life Sciences, Nanjing Agricultural University, Key Laboratory of Agricultural and Environmental Microbiology, Ministry of Agriculture and Rural Affairs, Nanjing, 210095, China.
Bingang YangDepartment of Microbiology, College of Life Sciences, Nanjing Agricultural University, Key Laboratory of Agricultural and Environmental Microbiology, Ministry of Agriculture and Rural Affairs, Nanjing, 210095, China.
Mengjun XuDepartment of Microbiology, College of Life Sciences, Nanjing Agricultural University, Key Laboratory of Agricultural and Environmental Microbiology, Ministry of Agriculture and Rural Affairs, Nanjing, 210095, China.
Youwen XingDepartment of Microbiology, College of Life Sciences, Nanjing Agricultural University, Key Laboratory of Agricultural and Environmental Microbiology, Ministry of Agriculture and Rural Affairs, Nanjing, 210095, China.
Pengfa LiDepartment of Microbiology, College of Life Sciences, Nanjing Agricultural University, Key Laboratory of Agricultural and Environmental Microbiology, Ministry of Agriculture and Rural Affairs, Nanjing, 210095, China.ORCID http://orcid.org/0000-0001-6667-0611
Shiri FreilichNewe Ya'ar Research Center, Agricultural Research Organization, P.O. Box 1021, Ramat Yishay, 30095, Israel.
Chen ChenDepartment of Microbiology, College of Life Sciences, Nanjing Agricultural University, Key Laboratory of Agricultural and Environmental Microbiology, Ministry of Agriculture and Rural Affairs, Nanjing, 210095, China.
Yanzheng GaoCollege of Resources and Environmental Sciences, Nanjing Agricultural University, Nanjing, 210095, China. gaoyanzheng@njau.edu.cn.ORCID http://orcid.org/0000-0002-3814-3555
Jiandong JiangDepartment of Microbiology, College of Life Sciences, Nanjing Agricultural University, Key Laboratory of Agricultural and Environmental Microbiology, Ministry of Agriculture and Rural Affairs, Nanjing, 210095, China. jiang_jjd@njau.edu.cn.ORCID http://orcid.org/0000-0003-4877-5756
Xihui XuDepartment of Microbiology, College of Life Sciences, Nanjing Agricultural University, Key Laboratory of Agricultural and Environmental Microbiology, Ministry of Agriculture and Rural Affairs, Nanjing, 210095, China. xuxihui@njau.edu.cn.ORCID http://orcid.org/0000-0003-2092-9987

Funding

National Natural Science Foundation of China (National Science Foundation of China) 41925029National Natural Science Foundation of China (National Science Foundation of China) 41977120National Natural Science Foundation of China (National Science Foundation of China) 42177031
6 · The paper itself

Abstract

Engineering natural microbiomes for biotechnological applications remains challenging, as metabolic interactions within microbiomes are largely unknown, and practical principles and tools for microbiome engineering are still lacking. Here, we present a combinatory top-down and bottom-up framework to engineer natural microbiomes for the construction of function-enhanced synthetic microbiomes. We show that application of herbicide and herbicide-degrader inoculation drives a convergent succession of different natural microbiomes toward functional microbiomes (e.g., enhanced bioremediation of herbicide-contaminated soils). We develop a metabolic modeling pipeline, SuperCC, that can be used to document metabolic interactions within microbiomes and to simulate the performances of different microbiomes. Using SuperCC, we construct bioremediation-enhanced synthetic microbiomes based on 18 keystone species identified from natural microbiomes. Our results highlight the importance of metabolic interactions in shaping microbiome functions and provide practical guidance for engineering natural microbiomes.

Indexed as

Biodegradation, EnvironmentalHerbicidesMicrobiotaBacteriaModels, BiologicalSoil MicrobiologySoil PollutantsHerbicidesSoil Pollutants

Identifiers

PMID38824157
PMCPMC11144243

What OpenQuestion holds

Textmetadata
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.