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Title

Exploring 10 years of marine microbial interactions

AuthorsKrabberød, Anders K.; Deutschmann, Ina ; Lima-Mendez, Gipsi; Giner, Caterina R. ; Balagué, Vanessa ; Reñé, Albert ; Ferrera, Isabel ; Garcés, Esther ; Gasol, Josep M. ; Massana, Ramon ; Logares, Ramiro
Issue Date30-Jul-2017
PublisherInternational Society of Preotistologists
Citation15th International Congress of Protistology (2017)
AbstractThe oceans are populated by a multitude of microbes, both eukaryotes and prokaryotes, but our knowledge of their ecological interactions is still limited. To help shed light on important long-term interactions we have constructed microbial association networks from marine plankton samples taken every month for 10-years in the North-Western Mediterranean (Blanes Bay Microbial Observatory). From the 120 samples we sequenced 18S and 16S rDNA amplicons from two different size fractions (pico-plankton [0.2-3mm] and nano-plankton [3-20mm]) and recorded 18 environmental variables. We calculated positive and negative correlations between Operational Taxonomic Units (OTUs) from the amplicons with eLSA (extended Local Similarity Analysis). The association network from OTUs present in at least 10% of the samples (2826 eukaryotes and 2856 bacteria) was highly connected with 2 947 606 significant edges (p<0.0001; fdr corrected), a mean number of node neighbours of 1066.4 and average clustering coefficient (C) 0.77. The clustering coefficient is considerable larger than for a random network of the same size (C=0.19). Almost all edges were positive showing co-occurrences between OTUs, while only 1 % was negative indicating mutual exclusions. In order to find OTUs involved in direct symbiotic interactions and not only covarying with ecological changes we are iden- tifying OTUs that are most likely occurring together due to shared environmental prefer- ences by calculating the mutual information between all triplets of OTUs and environ- mental variables in the network. In addition, we are building a database of known micro- bial interactions based on published literature. The database will be used to identify edges of known interactions, validating co-occurrences as symbiotic interactions, as well as help us uncover novel interactions. Further work on network deconvolution will let us predict important long-term ecological interactions and increase our knowledge of the marine microbial interactome
Description15th International Congress of Protistology, International Society of Preotistologists (ISOP), 30 July - 4 August 2017 , Prague, Czech Republic
URIhttp://hdl.handle.net/10261/179126
Appears in Collections:(ICM) Comunicaciones congresos
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