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分子指纹解析 Rhynie 燧石有机化石的亲和力。

Molecular fingerprints resolve affinities of Rhynie chert organic fossils.

机构信息

UK Centre for Astrobiology, School of Physics and Astronomy, University of Edinburgh, Edinburgh, UK.

UCD School of Earth Sciences, University College Dublin, Dublin, Ireland.

出版信息

Nat Commun. 2023 Mar 13;14(1):1387. doi: 10.1038/s41467-023-37047-1.

Abstract

The affinities of extinct organisms are often difficult to resolve using morphological data alone. Chemical analysis of carbonaceous specimens can complement traditional approaches, but the search for taxon-specific signals in ancient, thermally altered organic matter is challenging and controversial, partly because suitable positive controls are lacking. Here, we show that non-destructive Fourier Transform Infrared Spectroscopy (FTIR) resolves in-situ molecular fingerprints in the famous 407 Ma Rhynie chert fossil assemblage of Aberdeenshire, Scotland, an important early terrestrial Lagerstätte. Remarkably, unsupervised clustering methods (principal components analysis and K-mean) separate the fossil spectra naturally into eukaryotes and prokaryotes (cyanobacteria). Additional multivariate statistics and machine-learning approaches also differentiate prokaryotes from eukaryotes, and discriminate eukaryotic tissue types, despite the overwhelming influence of silica. We find that these methods can clarify the affinities of morphologically ambiguous taxa; in the Rhynie chert for example, we show that the problematic "nematophytes" have a plant-like composition. Overall, we demonstrate that the famously exquisite preservation of cells, tissues and organisms in the Rhynie chert accompanies similarly impressive preservation of molecular information. These results provide a compelling positive control that validates the use of infrared spectroscopy to investigate the affinity of organic fossils in chert.

摘要

利用形态学数据很难确定已灭绝生物的亲缘关系。对含碳标本进行化学分析可以补充传统方法,但在古老的、受热改变的有机物质中寻找具有分类特异性的信号是具有挑战性和争议性的,部分原因是缺乏合适的阳性对照。在这里,我们展示了无损傅里叶变换红外光谱(FTIR)可以解析苏格兰阿伯丁郡著名的 4.07 亿年前 Rhynie 燧石化石组合中的原位分子指纹,这是一个重要的早期陆地化石库。值得注意的是,无监督聚类方法(主成分分析和 K-均值)可以将化石光谱自然地分为真核生物和原核生物(蓝细菌)。尽管二氧化硅的影响很大,但额外的多元统计和机器学习方法也可以区分原核生物和真核生物,并区分真核组织类型。我们发现这些方法可以阐明形态上模棱两可的分类单元的亲缘关系;例如,在 Rhynie 燧石中,我们表明有问题的“线虫植物”具有植物样的组成。总的来说,我们证明了 Rhynie 燧石中细胞、组织和生物体的惊人精细保存伴随着同样令人印象深刻的分子信息保存。这些结果提供了一个令人信服的阳性对照,验证了使用红外光谱来研究燧石中有机化石亲缘关系的方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/206f/10011563/cfb13b5d77a1/41467_2023_37047_Fig1_HTML.jpg

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