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Ferrera, I.

Publications and source records attributed to Ferrera, I..

2 recordsLinked to original sources

Long-term seasonality of marine photoheterotrophic bacteria reveals low cohesiveness within the different phylogroups

Aerobic anoxygenic phototrophic (AAP) bacteria play a relevant role in the marine microbial food web, but little is known about their long-term seasonal dynamics. Using Illumina amplicon sequencing of the pufM gene coupled with multivariate, time series and co-occurrence analyses we examined their temporal dynamics over a decade at the Blanes Bay Microbial Observatory (NW Mediterranean). Phylogroup K (Gammaproteobacteria) was the most abundant over all seasons, with phylogroups E and G (Alphaproteobacteria) being often abundant in spring. A clear seasonal trend was observed in diversity, with maximum values in winter. Multivariate analyses showed sample clustering by season, with a relevant proportion of the variance (38%) explained by day length, temperature, salinity, phototrophic nanoflagellate abundance and phosphate concentration. Time series analysis showed that only 42% of the Amplicon Sequence Variants (ASVs) analyzed presented marked seasonality but these represented most of the abundance (92%). Interestingly, distinct temporal dynamics were observed within the same phylogroup and even within different ASVs conforming the same Operational Taxonomic Unit (OTU). Likewise, co-occurrence analysis highlighted negative associations between various ASVs within the same phylogroup. Altogether our results picture the AAP assemblage as highly seasonal, containing ecotypes with distinctive niche partitioning rather than being a cohesive functional group.

microbiology

Quantifying long-term predictability in microbial plankton dynamics

Determining predictability in community turnover is a key ecological question. In the microbial world, seasonality has been reported for communities inhabiting temperate zones, but not much is known on seasonality for individual species. Specifically, we have a vague understanding on the amount of species displaying predictability during temporal community turnover as well as on their dynamics. Here we developed a Recurrence Index to quantify predictability in microbial species. Applying our index to 18S rDNA metabarcoding data from one of the longest temporal observatories of marine plankton we determined that 13% of the picoeukaryotic and 19% of the nanoeukaryotic species, accounting for about 40% of the community abundance in both fractions, feature predictable dynamics when sampled monthly during 10 years. Thus, most of the species analysed had unpredictable temporal abundance patterns. Altogether, we show that species with both predictable and unpredictable temporal dynamics can occur within the same seasonal microbial community.

ecology