Evidence map›Paper›PMID 39192220›Full record

ArticleBMC microbiology2024

Metagenomic mining of two Egyptian Red Sea sponges associated microbial community.

Manar El Samak, Samar M Solyman, Amro Hanora, Samira Zakeer

Abstract read
In one paragraph

Article in BMC microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Manar El SamakDepartment of Microbiology and Immunology, Faculty of Pharmacy, Suez Canal University, Ismailia, Egypt.
Samar M SolymanDepartment of Microbiology and Immunology, Faculty of Pharmacy, Suez Canal University, Ismailia, Egypt.
Amro HanoraDepartment of Microbiology and Immunology, Faculty of Pharmacy, Suez Canal University, Ismailia, Egypt. ahanora@yahoo.com.ORCID http://orcid.org/0000-0003-4937-7741
Samira ZakeerDepartment of Microbiology and Immunology, Faculty of Pharmacy, Suez Canal University, Ismailia, Egypt.

Funding

Academy of Scientific Research and Technology 59/2020SIDA 6420/2009
6 · The paper itself

Abstract

The Red Sea is a promising habitat for the discovery of new bioactive marine natural products. Sponges associated microorganisms represent a wealthy source of compounds with unique chemical structures and diverse biological activities. Metagenomics is an important omics-based culture-independent technique that is used as an effective tool to get genomic and functional information on sponge symbionts. In this study, we used metagenomic analysis of two Egyptian Red Sea sponges Hyrtios erectus and Phorbas topsenti microbiomes to study the biodiversity and the biosynthetic potential of the Red Sea sponges to produce bioactive compounds. Our data revealed high biodiversity of the two sponges' microbiota with phylum Proteobacteria as the most dominant phylum in the associated microbial community with an average of 31% and 70% respectively. The analysis also revealed high biosynthetic potential of sponge Hyrtios erectus microbiome through detecting diverse types of biosynthetic gene clusters (BGCs) with predicted cytotoxic, antibacterial and inhibitory action. Most of these BGCs were predicted to be novel as they did not show any similarity with any MIBiG database known cluster. This study highlights the importance of the microbiome of the collected Red Sea sponge Hyrtios erectus as a valuable source of new bioactive natural products.

Indexed as

MetagenomicsMicrobiotaPoriferaAnimalsBacteriaBiodiversityBiological ProductsEgyptIndian OceanMetagenomeMultigene FamilyPhylogenyProteobacteriaBiological ProductsBiosynthetic gene clusterMarine spongeNon ribosomal peptide synthasePolyketide synthaseRed Sea

Identifiers

PMID39192220
PMCPMC11351353

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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.