Publications by authors named "Lorenzo Pin"

Rising temperatures due to climate change may affect the quality of open-field cultivated processing tomatoes by altering the nutrient content. Bioinoculants are growing in popularity as a nature-based strategy to mitigate these environmental stresses. Untargeted quantitative NMR spectroscopy was leveraged to characterize the metabolome of tomato fruits exposed to abiotic stress during the year 2022, which was marked by unexpected high temperatures and low rainfall compared to the year 2021 with average conditions.

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Despite the importance of bacteria in aquatic ecosystems and their predictable diversity patterns across space and time, biomonitoring tools for status assessment relying on these organisms are widely lacking. This is partly due to insufficient data and models to identify reliable microbial predictors. Here, we show metabarcoding in combination with multivariate statistics and machine learning allows to identify bacterial bioindicators for existing biological status classification systems.

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Article Synopsis
  • Microbial communities play a crucial role in the functioning of river ecosystems, but existing biomonitoring methods for assessing prokaryotes are limited.
  • Recent studies using both metabarcoding and CARD-FISH techniques show a strong link between microbial community composition and environmental factors, like pH, across rivers in Norway.
  • Metabarcoding proved to be more effective than CARD-FISH in identifying regional differences in microbial communities, suggesting it could be a more reliable option for large-scale environmental assessments.
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