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Structural diversity of photoautotrophic populations within the UNESCO site 'Old Cathedral of Coimbra' (Portugal), using a combined approach

机译:联合国科教文组织地点的光拍营养学群体的结构多样性,使用组合方法

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In 2013, UNESCO classified the 'University of Coimbra -Alta and Sofia' (Portugal) as World Heritage site. Some of the limestone monuments that compose the site, such as the Old Cathedral of Coimbra, show clear visual effects of biological colonization by cyanobacteria and microalgae. The aim of this study was to thoroughly characterize the structural diversity of the photoautotrophic community at this site, combining isolation and molecular identification with next-generation sequencing techniques. Culture-dependent approaches resulted on the identification of green microalgae belonging to Prasiolales, Chlorellales, Watanabea, Chlamydomonadales and Sphaeropleales clades, and cyanobacteria belonging to Nostocales and Synechococcales clades. Culture-in-dependent methods using Illumina Platform resulted in the identification of 610 Operational Taxonomic Units (OTUs), revealing the presence of populations within phyla Chlorophyta, Cyanobacteria, Rhodophyta and Stramenopiles/Bacillariophyta. In addition, principal component analysis (PCA) and a network analysis were generated and successfully related the different populations to specific biodeterioration scenarios observed at this monument. The use of culture-dependent and -independent techniques together with PCA and network analysis allowed us to understand the distribution patterns of the photoautotrophic community among the different biofilms observed at this monument, as well as their ecological specifications. This study highlights that both cultivation and metagenomics methodologies should be employed synergistically in similar biodeterioration studies.
机译:2013年,教科文组织将该大学“科英布拉大学和索菲亚”(葡萄牙)分类为世界遗产。一些构成该网站的石灰石纪念碑,例如哥斯联布的旧大教堂,用蓝藻和微藻的生物殖民化明显的视觉效果。本研究的目的是在该网站彻底表征光学营养群落的结构多样性,用下一代测序技术结合分离和分子鉴定。依赖于文化的方法导致鉴定属于Prasiolalles,氯葡萄球菌,氯葡萄酒,衣原体和素瓣片的绿色微藻,以及属于鼻孔和卵巢的植物细菌。使用Illumina平台的文化依赖方法导致鉴定610个操作分类单位(OTUS),揭示了叶绿素,蓝藻,肾小球菌和患者/杆菌病中群体存在的群体。此外,主成分分析(PCA)和网络分析得到了生成并成功地将不同的人群与在本纪念碑中观察到的特定生物纳米传感器情景相关。使用文化依赖性和依赖性技术以及PCA和网络分析使我们能够了解在本纪念碑观察到的不同生物膜中的光学营养群落的分布模式,以及其生态规范。本研究突出了培养和偏心神经方法,应该在类似的生物转移研究中协同作用。

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