Evidence map›Paper›PMID 40202595›Full record

ArticleWorld journal of microbiology & biotechnology2025

Seasonal dynamics and enzyme profiles of diverse endophytic fungi in Sterculia urens Roxb.: insights into host-associated trends.

Garima Yadav, Mukesh Meena

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Article in World journal of microbiology & biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

Funding

Science and Engineering Research Board SUR/2022/005216
6 · The paper itself

Abstract

Sterculia urens Roxb., well known for its medicinal uses, remains largely unexplored in terms of its fungal endophytic communities. This study is the first comprehensive assessment of fungal endophyte diversity in S. urens. Sampling was conducted across different plant parts, seasons, and study sites. Molecular identification of fungal isolates was carried out using ITS sequencing. Additionally, colonization frequency and endophytic fungal diversity were analyzed. These isolates were evaluated for extracellular enzyme. A total of 31 different endophytic fungal species, representing 16 genera, were identified based on > 97% ITS sequence similarity. Colonization frequency was significantly influenced by season (P ≤ 0.0001), tissue type (P ≤ 0.0001), and site (P ≤ 0.0001). Diversity indices revealed a significant difference in relation to season and tissue type, but not with respect to location. Furthermore, this study reports, for the first time globally, the identification of Chaetomium meridiolense and Crinipellis wandoensis as endophytic fungi. Extracellular enzyme analysis revealed enzymatic activity in 29 morphotypes. The diverse enzymatic profiles of these fungal endophytes highlight their potential for various biotechnological applications. In addition, molecular and genomic investigations will provide a deeper understanding of the functional roles and symbiotic mechanisms of these fungal endophytes. Potential applications of this research include enhancing plant growth and stress tolerance, developing sustainable biofertilizers and biocontrol agents, promoting eco-friendly bioremediation strategies for dye-contaminated environments, and discovering novel enzymes suitable for industrial biotechnological processes.

Indexed as

EndophytesFungiBiodiversityDNA, FungalPhylogenySeasonsDNA, FungalExtracellular enzymesFungal diversityFungal endophytesSeasonal variationSterculia urens

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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.