Evidence map›Paper›PMID 37118464›Full record

ReviewNature food2021

Potential of indigenous crop microbiomes for sustainable agriculture.

Qing-Lin Chen, Hang-Wei Hu, Zi-Yang He, Li Cui, Yong-Guan Zhu, Ji-Zheng He

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature food, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
17.7field-weighted citation impact, top 1% of its field
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

31 citing papers in PubMed, 99 citations in OpenAlex.

  1. Biocontrol of tobacco leaf mold usingMicrobiology spectrum · 2026
    Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Transcriptome analysis ofMicrobiology spectrum · 2026
    Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. The relict plantFrontiers in plant science · 2025
    Article
  13. OftenFrontiers in microbiology · 2025
    Article
  14. Article
  15. Article
  16. Article
  17. Phyllosphere Microbiome in Plant Health and Disease.Plants (Basel, Switzerland) · 2023
    Review
  18. Article
  19. Article
  20. Review
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 at 3 institutions in 2 countries.

Qing-Lin ChenFaculty of Veterinary and Agricultural Sciences, The University of Melbourne, Parkville, Victoria, Australia.ORCID http://orcid.org/0000-0002-5648-277X
Hang-Wei HuFaculty of Veterinary and Agricultural Sciences, The University of Melbourne, Parkville, Victoria, Australia. hangweihu@gmail.com.ORCID http://orcid.org/0000-0002-3294-102X
Zi-Yang HeSchool of Geographical Sciences, Fujian Normal University, Fuzhou, China.ORCID http://orcid.org/0000-0003-2298-7937
Li CuiKey Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, China.ORCID http://orcid.org/0000-0002-0708-8899
Yong-Guan ZhuKey Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, China.
Ji-Zheng HeFaculty of Veterinary and Agricultural Sciences, The University of Melbourne, Parkville, Victoria, Australia. jizheng.he@unimelb.edu.au.ORCID http://orcid.org/0000-0002-9169-8058
Fujian Normal University · CNChinese Academy of Sciences · CNThe University of Melbourne · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The intimate interactions of indigenous crops with their associated microbiomes during long-term co-evolution strengthen the capacity and flexibility of crops to cope with biotic and abiotic stresses. This represents a promising untapped field for searching novel tools to sustainably increase crop productivity. However, the current capability of harnessing the power of indigenous crop microbiomes for sustainable crop production is limited due to low efficiency of separating the targeted functional microbes. Here, we highlight the potential benefits and existing challenges of utilizing indigenous crop microbiomes to reduce agrochemical inputs and increase crop resistance to biotic and abiotic stresses. We propose a framework using Raman-spectroscopy-based single-cell-sorting technology combined with a synthetic community approach to design and optimize a functionally reliable 'beneficial biome' under controlled conditions. This framework will offer opportunities for sustainable agriculture and provide a new direction for future studies.

Identifiers

PMID37118464
OpenAlexW3153080603

What OpenQuestion holds

Textmetadata
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.