Evidence map›Paper›PMID 35154169›Full record

ReviewFrontiers in plant science2021

Transcriptomic and Metabolomic Approaches Deepen Our Knowledge of Plant-Endophyte Interactions.

Xue-Liang Chen, Mei-Chen Sun, Sun-Li Chong, Jin-Ping Si, Ling-Shang Wu

Abstract readReview
In one paragraph

Review in Frontiers in plant science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing 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

42 citing papers in PubMed.

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  9. AnFrontiers in plant science · 2026
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  17. How genomics can help unravel the evolution of endophytic fungi.World journal of microbiology & biotechnology · 2025
    Review
  18. Decoding the Tissue-Specific Profiles of Bioactive Compounds inJournal of fungi (Basel, Switzerland) · 2025
    Article
  19. Unveiling the rhizosphere microbiome ofFrontiers in microbiology · 2025
    Review
  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

5 authors.

Xue-Liang ChenState Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Hangzhou, China.
Mei-Chen SunState Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Hangzhou, China.
Sun-Li ChongState Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Hangzhou, China.
Jin-Ping SiState Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Hangzhou, China.
Ling-Shang WuState Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In natural systems, plant-symbiont-pathogen interactions play important roles in mitigating abiotic and biotic stresses in plants. Symbionts have their own special recognition ways, but they may share some similar characteristics with pathogens based on studies of model microbes and plants. Multi-omics technologies could be applied to study plant-microbe interactions, especially plant-endophyte interactions. Endophytes are naturally occurring microbes that inhabit plants, but do not cause apparent symptoms in them, and arise as an advantageous source of novel metabolites, agriculturally important promoters, and stress resisters in their host plants. Although biochemical, physiological, and molecular investigations have demonstrated that endophytes confer benefits to their hosts, especially in terms of promoting plant growth, increasing metabolic capabilities, and enhancing stress resistance, plant-endophyte interactions consist of complex mechanisms between the two symbionts. Further knowledge of these mechanisms may be gained by adopting a multi-omics approach. The involved interaction, which can range from colonization to protection against adverse conditions, has been investigated by transcriptomics and metabolomics. This review aims to provide effective means and ways of applying multi-omics studies to solve the current problems in the characterization of plant-microbe interactions, involving recognition and colonization. The obtained results should be useful for identifying the key determinants in such interactions and would also provide a timely theoretical and material basis for the study of interaction mechanisms and their applications.

Indexed as

metabolomeplant–endophyte interactionplant growth promotion (PGP)stress resistancetranscriptome

Identifiers

PMID35154169
PMCPMC8828500

What OpenQuestion holds

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Registered trials

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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.