Evidence map›Paper›PMID 22526402›Full record

ArticleMicrobial ecology2012

Diversity and antimicrobial activity of culturable fungi isolated from six species of the South China Sea gorgonians.

Xiao-Yong Zhang, Jie Bao, Guang-Hua Wang, Fei He, Xin-Ya Xu, Shu-Hua Qi

Abstract read
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Article in Microbial ecology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

22 citing papers in PubMed.

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  6. Species Diversity and Secondary Metabolites ofMolecules (Basel, Switzerland) · 2021
    Review
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Xiao-Yong ZhangKey Laboratory of Marine Bio-resources Sustainable Utilization/RNAM Center for Marine Microbiology/Guangdong Key Laboratory of Marine Material Medical, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China.
Jie Bao
Guang-Hua Wang
Fei He
Xin-Ya Xu
Shu-Hua Qi

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fungi in gorgonians are now known to cause gorgonian diseases, but little attention has been paid to the nature of fungal communities associated with gorgonians. The diversity of culturable fungi associated with six species of healthy South China Sea gorgonians were investigated using a culture-dependent method followed by analysis of fungal internal transcribed spacer sequences. A total of 121 fungal isolates were recovered and identified using the Basic Local Alignment Search Tool search program. These belonged to 41 fungal species from 20 genera. Of these, 30 species and 12 genera are new reports for gorgonians, and the genera Aspergillus and Penicillium were the most diverse and common in the six gorgonian species. Comparison of the fungal communities in the six gorgonian species, together with results from previous relevant studies, indicated that different gorgonian species and the same gorgonian species living in different geographic locations had different fungal communities. The gorgonian Dichotella gemmacea harbored the most fungal species and isolates, while Echinogorgia aurantiaca had the least fungal diversity. Among the six media used for fungal isolation, potato glucose agar yielded the highest isolates (27 isolates), while glucose peptone starch agar had the best recoverability of fungal species (15 species). The antimicrobial activity of the 121 fungal isolates was tested against three marine bacteria and two marine gorgonian pathogenic fungi. A relatively high proportion (38 %) of fungal isolates displayed distinct antibacterial and antifungal activity, suggesting that the gorgonian-associated fungi may aid their hosts in protection against pathogens. This is the first report comparing the diversity of fungal communities among the South China Sea gorgonians. It contributes to our knowledge of gorgonian-associated fungi and further increases the pool of fungi available for natural bioactive product screening.

Indexed as

AntibiosisAnimalsAnthozoaAnti-Infective AgentsBacteriaBiodiversityChinaCulture MediaDNA, FungalDNA, Ribosomal SpacerFungiMicrobial Sensitivity TestsMolecular Sequence DataOceans and SeasSequence Analysis, DNASpecies SpecificityAnti-Infective AgentsCulture MediaDNA, FungalDNA, Ribosomal Spacer

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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.