Literature DB >> 35906397

Microbiome of the freshwater sponge Ephydatia muelleri shares compositional and functional similarities with those of marine sponges.

Scott Sugden1,2, Johannes Holert3, Erick Cardenas4, William W Mohn4, Lisa Y Stein5.   

Abstract

Sponges are known for hosting diverse communities of microbial symbionts, but despite persistent interest in the sponge microbiome, most research has targeted marine sponges; freshwater sponges have been the focus of less than a dozen studies. Here, we used 16 S rRNA gene amplicon sequencing and shotgun metagenomics to characterize the microbiome of the freshwater sponge Ephydatia muelleri and identify potential indicators of sponge-microbe mutualism. Using samples collected from the Sooke, Nanaimo, and Cowichan Rivers on Vancouver Island, British Columbia, we show that the E. muelleri microbiome is distinct from the ambient water and adjacent biofilms and is dominated by Sediminibacterium, Comamonas, and unclassified Rhodospirillales. We also observed phylotype-level differences in sponge microbiome taxonomic composition among different rivers. These differences were not reflected in the ambient water, suggesting that other environmental or host-specific factors may drive the observed geographic variation. Shotgun metagenomes and metagenome-assembled genomes further revealed that freshwater sponge-associated bacteria share many genomic similarities with marine sponge microbiota, including an abundance of defense-related proteins (CRISPR, restriction-modification systems, and transposases) and genes for vitamin B12 production. Overall, our results provide foundational information on the composition and function of freshwater sponge-associated microbes, which represent an important yet underappreciated component of the global sponge microbiome.
© 2022. The Author(s), under exclusive licence to International Society for Microbial Ecology.

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Year:  2022        PMID: 35906397      PMCID: PMC9562138          DOI: 10.1038/s41396-022-01296-7

Source DB:  PubMed          Journal:  ISME J        ISSN: 1751-7362            Impact factor:   11.217


  63 in total

1.  Functional equivalence and evolutionary convergence in complex communities of microbial sponge symbionts.

Authors:  Lu Fan; David Reynolds; Michael Liu; Manuel Stark; Staffan Kjelleberg; Nicole S Webster; Torsten Thomas
Journal:  Proc Natl Acad Sci U S A       Date:  2012-06-13       Impact factor: 11.205

2.  Purification and concentration of DNA from aqueous solutions.

Authors:  David Moore; Dennis Dowhan
Journal:  Curr Protoc Mol Biol       Date:  2002-08

3.  Expression of eukaryotic-like protein in the microbiome of sponges.

Authors:  C Díez-Vives; L Moitinho-Silva; S Nielsen; D Reynolds; T Thomas
Journal:  Mol Ecol       Date:  2017-01-27       Impact factor: 6.185

4.  Characterization of a sponge microbiome using an integrative genome-centric approach.

Authors:  J Pamela Engelberts; Steven J Robbins; Jasper M de Goeij; Manuel Aranda; Sara C Bell; Nicole S Webster
Journal:  ISME J       Date:  2020-01-28       Impact factor: 10.302

5.  Metagenomic binning of a marine sponge microbiome reveals unity in defense but metabolic specialization.

Authors:  Beate M Slaby; Thomas Hackl; Hannes Horn; Kristina Bayer; Ute Hentschel
Journal:  ISME J       Date:  2017-07-11       Impact factor: 10.302

6.  Genomic blueprints of sponge-prokaryote symbiosis are shared by low abundant and cultivatable Alphaproteobacteria.

Authors:  Elham Karimi; Tina Keller-Costa; Beate M Slaby; Cymon J Cox; Ulisses N da Rocha; Ute Hentschel; Rodrigo Costa
Journal:  Sci Rep       Date:  2019-02-13       Impact factor: 4.379

7.  Host population genetics and biogeography structure the microbiome of the sponge Cliona delitrix.

Authors:  Cole G Easson; Andia Chaves-Fonnegra; Robert W Thacker; Jose V Lopez
Journal:  Ecol Evol       Date:  2020-01-24       Impact factor: 2.912

8.  Mitochondrial genomes of the freshwater sponges Spongilla lacustris and Ephydatia cf. muelleri.

Authors:  Warren Russell Francis; Michael Eitel; Sergio Vargas; Stefan Krebs; Helmut Blum; Gert Wörheide
Journal:  Mitochondrial DNA B Resour       Date:  2016-03-29       Impact factor: 0.658

9.  edgeR: a Bioconductor package for differential expression analysis of digital gene expression data.

Authors:  Mark D Robinson; Davis J McCarthy; Gordon K Smyth
Journal:  Bioinformatics       Date:  2009-11-11       Impact factor: 6.937

10.  phyloseq: an R package for reproducible interactive analysis and graphics of microbiome census data.

Authors:  Paul J McMurdie; Susan Holmes
Journal:  PLoS One       Date:  2013-04-22       Impact factor: 3.240

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