Evidence map›Paper›PMID 40982090›Full record

ReviewCurrent microbiology2025

Bacterial Endophytes of Medicinal Plants: Applications and Recent Developments.

Minakshi Sharma, Gaurav Sood, Anjali Chauhan

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

3 authors.

Minakshi Sharma *Division of Soil Science and Agricultural Chemistry, Indian Agricultural Research Institute, New-Delhi, India. minakshi.s807@gmail.com.ORCID http://orcid.org/0000-0002-4876-4937
Gaurav Sood *Department of Soil Science and Water Management, Dr YS Parmar University of Horticulture and Forestry, Solan, Himachal Pradesh, India.
Anjali ChauhanDepartment of Soil Science and Water Management, Dr YS Parmar University of Horticulture and Forestry, Solan, Himachal Pradesh, India. chauhan.auhf@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Endophytic bacteria are endosymbionts that reside within plant tissues without causing apparent disease in the host. Bacteria employ various traits (lipopolysaccharides, flagella, pili, twitching motility, etc.) to colonize host plants. In this colonization process a variety of compounds released by plants in addition to bacteria play a key role in plant growth. Endophytes are in symbiotic association with their host plant and show beneficial effect on them using various direct and indirect mechanisms of plant growth promotion. In addition to plant growth promotion, endophytes also confer stress tolerance in the current scenario of climate change. Furthermore, endophytes have emerged as an important source of novel metabolites, enzymes of industrial importance and as stress alleviators of host plant, but still several features of endophytic associations are unknown. However, little is documented about plant growth-promoting endophytes (PGPE) of medicinal plants. Current review focused on the drivers of endophyte community structure with an attempt to relate it with plant growth promotion, its mechanisms and the current as well as future aspects of molecular techniques to reveal these communities. In-depth knowledge of the mechanism of host infection and role of endophytes could be exploited to enhance agricultural productivity in terms of plant growth promotion and biocontrol.

Indexed as

BacteriaEndophytesPlants, MedicinalPlant DevelopmentSymbiosis

Identifiers

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.