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Martinez-Campos, S.

Publications and source records attributed to Martinez-Campos, S..

2 recordsLinked to original sources

Better together: Microbial diversity might facilitate the invasion success of the seagrass Halophila stipulacea in mixed Mediterranean seagrass communities

Microorganisms are increasingly recognized as key facilitators of invasion success for introduced species into new environments. The globally invasive seagrass Halophila stipulacea flourishes in mixed environments with native seagrasses, where it exhibits enhanced growth, while, in contrast, native seagrasses in mixed environments experience reduced growth. Here, we hypothesize that microbes may support the success of invasive seagrass in mixed Mediterranean environments. We analyzed 16S rRNA genes to characterize the microbial diversity on the phyllosphere alongside biochemical, morphological, and sediment nutrient measurements of the Mediterranean-native seagrass Cymodocea nodosa and the invasive H. stipulacea from a controlled mesocosm experiment. Overall, C. nodosa in monoculture harbored a microbiome exhibiting higher ASV richness and a distinct community composition than H. stipulacea. Variation in bacterial diversity associated with hydrogen peroxide (H2O2) and internode length suggests that microbial communities of the native seagrass might be shaped by its stress. Conversely, H. stipulaceas microbiome was most abundant in mixed environments, with bacteria significantly reduced in monoculture, and bacterial diversity loosely associated with growth, suggesting that microbes are critical to assisting and possibly facilitating H. stipulacea in mixed environments. Overall, our findings suggest that invasive H. stipulacea in the Mediterranean Sea are capable of recruiting beneficial bacteria, creating microbial interactions that support its success, and undermining the resilience of native seagrasses in mixed beds. Future work should center on the mechanisms driving H. stipulacea bacterial communities and investigating whether H. stipulacea actively determines its own microbiome, or whether its microbiome is passively determined by environmental variables.

microbiology↗

On-site microbial community analysis in rivers: integrating autonomous sampling with a portable sequencing workflow

Studies focused on bacterial diversity in rivers often face significant limitations. Traditional sampling approaches frequently overlook spatial and temporal variability at the reach scale. Molecular techniques, such as metabarcoding and metagenomics, can partially address this issue by providing deeper insights. However, this approach usually involves highly specialized laboratories and high costs, making large-scale and long-term monitoring of river networks unfeasible in most cases. Thus, we developed a methodology based on remote-controlled boats, allowing the collection of integrated samples in freshwater ecosystems. Combined with a portable laboratory, this approach enabled the development of new surface water monitoring strategies. Here, we describe the operational application of this system for in situ monitoring of bacterioplankton communities across 8 sections of the Ter River (Catalonia, Spain). [To explore its potential, we applied both 16S rRNA gene sequencing using Nanopore technology (MinION) in the field, and shotgun metagenomics using Illumina technology in the laboratory, acknowledging the intrinsic differences between sequencing targets, platforms, and analysis pipelinesMinIONMinION sequencing enabled microbiome characterization and identification of the main bacterial taxa just 72 h after sampling, offering significantly lower costs and reduced manpower requirements. Furthermore, amplification facilitated the full characterization of bacterioplankton diversity along the river, preventing the exclusion of uncommon taxa. While shotgun metagenomics is still necessary for understanding the functional activity of these organisms, our approach provides a cost-effective framework for developing efficient follow-up sampling methodologies.

microbiology↗