Evidence map›Paper›PMID 35593972›Full record

ArticleArchives of microbiology2022

Seasonal variation and tissues specificity of endophytic fungi of Dillenia indica L. and their extracellular enzymatic activity.

Vijay Kumar, I B Prasher

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Article in Archives of microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 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.

Vijay KumarMycology and Plant Pathology Lab., Department of Botany, Panjab University Chandigarh, Chandigarh, 160014, India. vijaysharmasanmotra100@gmail.com.ORCID http://orcid.org/0000-0001-7935-3711
I B PrasherMycology and Plant Pathology Lab., Department of Botany, Panjab University Chandigarh, Chandigarh, 160014, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Endophytes are microbes that live inside the tissues of plants without causing any disease. Many of these belonging to fungi have been exploited earlier for their biological activities. This study focused on the exploration and characterization of culturable endophytic fungi inhabiting the medicinal plant Dillenia indica L. during four different seasons (summer, monsoon, autumn, and winter) from 2018 to 2019. A total of 2360 segments from different parts (leaves, fruits, and stem) were screened to isolate endophytic fungi. During the study, 25 species of fungi belonging to 20 genera were isolated from the selected plant. The identification of these fungi was validated at morphological, microscopic, and molecular levels. Results indicate the plant has the highest affinity for Daldinia eschscholtzii, followed by Colletotrichum gloeosporioides and Cladosporium cladosporioides. Further, the percent frequency was highest in leaves, followed by stem and fruits. The results were further supported by a similar trend of colonization rate for different plant parts. The monsoon season had the highest number of isolates (312), followed by summer (208), winter (164), and autumn (114). Species diversity was highest during the monsoon season and lowest during the winter. These fungi also produce amylase, lipase, protease, asparaginase, cellulase, and ligninolytic enzymes. This study focused only on culturable fungal endophytes, yet the scope can be extended for other non-culturable microbes and their interaction by using high-throughput genomics and novel next-generation sequencing (NGS) tools. The results indicate that Dillenia indica L. harbors novel endophytic fungi having industrial applications.

Indexed as

DilleniaceaePlants, MedicinalEndophytesFungiPlant LeavesSeasonsBioactive moleculesDillenia indicaEndophytesExtracellular enzymesSeasonal variation

Identifiers

PMID35593972

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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.