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Patterns and Drivers of Diatom Diversity and Biogeography in the North Pacific

Marine diatoms contribute to about 20% of global primary production. We present the first basin-scale, multiyear assessment of diatom communities in the North Pacific, combining taxonomically high-resolution RuBisCO large subunit gene (rbcL) metabarcoding with concurrent environmental measurements. Using a nine-year time series of daily samples resolved at the species level via ~500 bp rbcL…

Marine diatoms play a crucial role in global primary production, accounting for approximately 20% of it. Scientists have conducted the first comprehensive, multiyear study of diatom communities in the North Pacific, employing a high-resolution method to analyze DNA sequences from these organisms. This analysis, which was based on samples collected over a nine-year period and could identify species down to the individual level, revealed significant links between the composition of these diatom communities and environmental factors like temperature and nutrient levels.

The researchers found that temperature and the availability of macronutrients heavily influenced the types of diatoms present in different regions of the North Pacific. One noteworthy observation was the prevalence of a previously unrecognized centric diatom species, Eunotogramma lunatum, in the North Pacific. This diatom species seems to be particularly dominant in subarctic waters where the levels of nutrients like nitrogen and phosphorus were high, but the concentration of chlorophyll was low.

In these conditions, where pennate diatoms usually thrive, Eunotogramma lunatum appears to dominate, often even being near-dominant.

This study highlights the effectiveness of using the rbcL gene for large-scale ocean monitoring. The results provide an essential baseline for future research into diatom population dynamics, the impacts of climate change on these organisms, and the resilience of marine ecosystems in this significant region of the world's oceans.

Written by urgent.news from bioRxiv's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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