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Tagging of water masses with covariance of trace metals and prokaryotic taxa in the Southern Ocean
Limnology and Oceanography Letters ( IF 5.1 ) Pub Date : 2024-08-22 , DOI: 10.1002/lol2.10429
Rui Zhang 1 , Stéphane Blain 1 , Corentin Baudet 2 , Hélène Planquette 2 , Frédéric Vivier 3 , Philippe Catala 1 , Olivier Crispi 1 , Audrey Guéneuguès 1 , Barbara Marie 1 , Pavla Debeljak 4 , Ingrid Obernosterer 1
Affiliation  

Marine microbes are strongly interrelated to trace metals in the ocean. How the availability of trace metals selects for prokaryotic taxa and the potential feedback of microbial processes on the trace metal distribution in the ocean remain poorly understood. We investigate here the potential reciprocal links between diverse prokaryotic taxa and iron (Fe), manganese (Mn), copper (Cu), and nickel (Ni) as well as apparent oxygen utilization (AOU) across 12 well‐defined water masses in the Southern Indian Ocean (SWINGS—South West Indian Ocean GEOTRACES GS02 Section cruise). Applying partial least square regression (PLSR) analysis, we show that the water masses are associated with particular latent vectors that are a combination of the spatial distribution of prokaryotic taxa, trace elements, and AOU. This approach provides novel insights on the potential interactions between prokaryotic taxa and trace metals in relation to organic matter remineralization in distinct water masses of the ocean.

中文翻译:


利用南大洋痕量金属和原核生物类群的协方差标记水团



海洋微生物与海洋中的微量金属密切相关。痕量金属的可用性如何选择原核生物分类群以及微生物过程对海洋中痕量金属分布的潜在反馈仍然知之甚少。我们在这里研究了不同原核生物类群与铁 (Fe)、锰 (Mn)、铜 (Cu) 和镍 (Ni) 之间的潜在相互联系,以及在 12 个明确定义的水团中的表观氧利用率 (AOU)。南印度洋( SWINGS — 西南印度洋 GEOTRACES GS02 剖面巡航)。应用偏最小二乘回归 (PLSR) 分析,我们表明水团与特定的潜在向量相关,这些潜在向量是原核生物类群、微量元素和 AOU 的空间分布的组合。这种方法为原核类群和微量金属之间与海洋不同水团中有机物再矿化相关的潜在相互作用提供了新的见解。
更新日期:2024-08-22
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