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Abad-Recio, I. L.

Publications and source records attributed to Abad-Recio, I. L..

2 recordsLinked to original sources

Microbial ecological insights from estuarine sediments revealed by temporal and spatial network analysis

Association network analyses performed on microbial abundance data provides information regarding ecosystems functioning, quality and potential keystone taxa. Samples for network analyses can be collected spatially, temporally or both. Here, we compare the microbiomes and the reconstructed association networks resulting from temporal vs spatial sampling regimes from the Oka estuary in the Spanish Basque Country. The taxonomic composition although similar at Phylum level, diverged more at lower taxonomic levels such as Family. The dissimilarity of spatial replicates was higher than the temporal replicates; however, the dispersion of OTU abundances across samples was similar in the two datasets, indicating that OTU abundances varied similarly across samples. Moreover, the topological properties and keystones differed between networks. The number of edges and the connectance were higher in the spatial network, and keystones were more taxonomically diverse in the temporal network. Among those correlations present in the spatial and temporal networks, we identified potential interactions involved in the sulphur and nitrogen cycles, and in the degradation of organic matter. We conclude that network analyses reveal ecological aspects of the ecosystems functioning, nevertheless, the sampling must be thoroughly planned according to the aim of the study, since different sampling strategies may result in different outcomes.

ecology↗

Contrasting dynamics and biotic association networks in estuarine microbenthic communities along an environmental disturbance gradient

Estuarine ecosystems experience a range of anthropogenic pressures. Consequently, robust monitoring tools are essential for their management and protection. Utilising environmental DNA in routine monitoring programs enables the inclusion of benthic microorganisms, which are not only good indicators of environmental condition, but also play critical roles in ecosystem functioning. In this study we collect eDNA from sediment samples across time in six estuaries, from the Basque coast (Spain), under varying degrees of disturbance. To identify potential indicators of biotic integrity (environmental health status), we used time series data to examine the prokaryotic microbial communities and consensus networks associated with different levels of pollution. In general, sediment communities were relatively temporally stable, with the moderately and heavily disturbed sites showing more variation. The consensus networks also differed significantly in their topologies, with more impacted estuaries having fewer nodes, edges and connectance, among others, and higher modularity compared to those less impacted. Moreover, the potential keystone taxa and predicted functional profiles differed between consensus networks. This illustrates how modelled association networks can reveal new insights regarding the state of estuarine ecosystems and their potential functional processes.

ecology↗