alpha diversity
alpha diversity on World Data Ocean: a running collection of 2 stories we have gathered and hand-picked because they are worth your time. Every post here touches on alpha diversity in some way — the news, the analysis, the deep dives, and the occasional surprise find. A Global Hub for Ocean Intelligence 4 World Data Ocean is a centralized digital platform where researchers, scientists, and ocean enthusiasts converge to explore, analyze, and… New stories are added to this page as we find them, so check back if you want to keep up with what is happening around alpha diversity, or subscribe to the RSS feed to get them as soon as they are published. Browse the collection below, or head back to the homepage to see everything World Data Ocean is covering right now.
Threshold-dependent effects of Clostridium autoethanogenum protein as the primary dietary protein source on growth, metabolism, and gut microbiota in Litopenaeus vannamei
Recent research highlights the threshold-dependent effects of *Clostridium autoethanogenum* protein (CAP) as a primary dietary protein source for *Litopenaeus vannamei* (Pacific whiteleg shrimp). This study rigorously assessed growth, metabolism, and gut microbiota responses across varying CAP inclusion levels (32%-48%). Optimal growth was observed at 39.44% CAP, with higher levels demonstrating reduced growth rates and shifts in gut microbial communities—specifically, a trade-off between beneficial lipid metabolism and potential pathogen proliferation.
Beneath the surface: DNA metabarcoding reveals shifting biofouling patterns on marine artificial structures across season, depth, and substrate
Recent research illuminates the complex dynamics of marine biofouling, revealing how seasonal shifts, depth, and substrate type significantly influence community composition on artificial structures. Utilizing DNA metabarcoding across two seasonal periods and three depths, our study identified over 10,000 genetic variants, demonstrating that season explains the largest variation in biofouling biomass and diversity. These findings underscore the need for adaptive antifouling strategies considering interacting environmental factors—a perspective further explored in our related article, "Machine learning predictions for microbial eukaryotic plankton."