Evidence map›Paper›PMID 40790312›Full record

ArticleScientific reports2025

Unveiling the hidden culturable endophytic fungal diversity in aerial vegetative parts of Wrightia tinctoria (Roxb.) R.Br. of southern Aravalli hills.

Garima Yadav, Mukesh Meena

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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

5 citing papers in PubMed.

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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

2 authors.

Garima YadavLaboratory of Phytopathology and Microbial Biotechnology, Department of Botany, Mohanlal Sukhadia University, Udaipur, 313001, Rajasthan, India.
Mukesh MeenaLaboratory of Phytopathology and Microbial Biotechnology, Department of Botany, Mohanlal Sukhadia University, Udaipur, 313001, Rajasthan, India. mukeshmeenamlsu@gmail.com.ORCID http://orcid.org/0000-0002-6336-1140

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Endophytic fungi significantly influence plant health, growth, and ecological interactions, yet comprehensive insights into their diversity within medicinal plants remain limited. This study provides the first comprehensive analysis of alpha and beta diversity of fungal endophytic communities residing within Wrightia tinctoria (Roxb.) R.Br., examining variations across different plant parts (leaf, stem, and bark), seasons, and geographic locations. A total of 3929 fungal isolates representing 32 morphotypes, primarily from the phylum Ascomycota, were isolated from 6075 tissue segments. Notably, Fusarium cassiae, Neocosmospora magnoliae, Xylaria rohrensis, and Pestalotiopsis papuana were globally reported as endophytes for the first time. Colonization frequency varied significantly with maximum colonization observed at location 1 (80.88%), specifically in leaf tissues (84.64%) and during the monsoon season (80.91%). Analyses of alpha and beta diversity revealed marked variations in locations, plant parts, and seasons. Beta diversity analyses further illustrated both unique and overlapping fungal communities across different conditions, supported by non-metric multidimensional scaling and hierarchical clustering based on Bray-Curtis dissimilarity. Principal component analysis indicated that the first two components explained 40.4% of the observed diversity variations, primarily influenced by location, plant part, and seasonal dynamics. The study concludes that fungal endophytic diversity within W. tinctoria is significantly structured by ecological factors such as plant tissue type, seasonal variation, and geographic location, emphasizing the complexity and specificity of plant-endophyte interactions.

Indexed as

BiodiversityEndophytesFungiPlant Components, AerialAscomycotaPhylogenyPlant LeavesSeasonsDistributionDiversity analysisFungal endophytesGeographical locationsPhylogenetic analysisSeasonal variations

Identifiers

PMID40790312
PMCPMC12340102

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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.