Stoian Vlad, Vidican Roxana, Florin Păcurar, Corcoz Larisa, Pop-Moldovan Victoria, Vaida Ioana, Vâtcă Sorin-Daniel, Stoian Valentina Ancuța, Pleșa Anca
Department of Microbiology, Faculty of Agriculture, University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca, Calea Mănăştur 3-5, 400372 Cluj-Napoca, Romania.
Department of Grasslands and Forage Crops, Faculty of Agriculture, University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca, Calea Mănăştur 3-5, 400372 Cluj-Napoca, Romania.
Plants (Basel). 2022 May 5;11(9):1253. doi: 10.3390/plants11091253.
Exploring grassland microbiomes is a challenge in the current context of linking soil microorganism activity with the balance of these ecosystems. Microbiologists are constantly attempting to develop faster and lower-cost methods, and propose new and best-fitted indicators that will provide a more complex data analysis. A different concept was proposed for assessing functional microbiomes by splitting the functional ecological niche into complementary segments. The comparison with the upper and lower limits of the ecological niche provides a clearer image of community alterations due to long-term applied treatments. The method allows the extraction of the most sensitive and stable functional guilds, with the extraction of the most critical dominant-codominant functional groups in every segment of the functional niche. The resulting microbial functional-sociological model is ready to use on community-level physiological profile databases and also can be applied backward for vegetation analysis.
在当前将土壤微生物活动与这些生态系统平衡联系起来的背景下,探索草原微生物群落是一项挑战。微生物学家不断尝试开发更快、成本更低的方法,并提出新的、最适合的指标,以进行更复杂的数据分析。有人提出了一个不同的概念,即通过将功能生态位划分为互补部分来评估功能微生物群落。将生态位的上限和下限进行比较,可以更清晰地呈现长期应用处理导致的群落变化情况。该方法能够提取最敏感和稳定的功能类群,同时在功能生态位的每个部分提取最关键的优势-共优势功能组。由此产生的微生物功能-社会学模型可直接用于群落水平的生理特征数据库,也可反向应用于植被分析。