IMIS | Flanders Marine Institute
 

Flanders Marine Institute

Platform for marine research

IMIS

Publications | Institutes | Persons | Datasets | Projects | Maps
[ report an error in this record ]basket (0): add | show Printer-friendly version

What we can learn from sushi: a review on seaweed-bacterial associations
Hollants, J.; Leliaert, F.; De Clerck, O.; Willems, A. (2013). What we can learn from sushi: a review on seaweed-bacterial associations. FEMS Microbiol. Ecol. 83(1): 1-16. dx.doi.org/10.1111/j.1574-6941.2012.01446.x
In: FEMS Microbiology Ecology. Federation of European Microbiological Societies: Amsterdam. ISSN 0168-6496, more
Peer reviewed article  

Available in  Authors 

Keyword
Author keywords
    bacteria; diversity; interaction; macroalgae; symbiosis

Authors  Top 

Abstract
    Many eukaryotes are closely associated with bacteria which enable them to expand their physiological capacities. Associations between algae (photosynthetic eukaryotes) and bacteria have been described for over a hundred years. A wide range of beneficial and detrimental interactions exists between macroalgae (seaweeds) and epi- and endosymbiotic bacteria that reside either on the surface or within the algal cells. While it has been shown that these chemically mediated interactions are based on the exchange of nutrients, minerals, and secondary metabolites, the diversity and specificity of macroalgal-bacterial relationships have not been thoroughly investigated. Some of these alliances have been found to be algal or bacterial species-specific, whereas others are widespread among different symbiotic partners. Reviewing 161 macroalgal-bacterial studies from the last 55 years, a definite bacterial core community, consisting of Gammaproteobacteria, CFB group, Alphaproteobacteria, Firmicutes, and Actinobacteria species, seems to exist which is specifically (functionally) adapted to an algal host-associated lifestyle. Because seaweed-bacterial associations are appealing from evolutionary and applied perspectives, future studies should integrate the aspects of diverse biological fields.

All data in IMIS is subject to the VLIZ privacy policy Top | Authors