A spectacular fossil ecosystem was discovered near the Aberdeenshire village of Rhynie in 1912, mineralised and encased by chert – hard rock composed of silica.
Known as the Rhynie chert, it originates from the Early Devonian period – about 407 million years ago – and has a significant role to play in scientists understanding of life on earth.
See also: Revealing Earth’s Oldest Ecosystem On Land, Rhynie, Aberdeenshire.
Now research by a team at the University of Edinburgh has combined the latest non-destructive imaging with data analysis and machine learning to analyse fossils from collections held by National Museums Scotland and the Universities of Aberdeen and Oxford. The scientists were able to probe deeper than has previously been possible, which they say could reveal new insights about less well-preserved samples.
Dr Sean McMahon, Chancellor’s Fellow from the University of Edinburgh’s School of Physics and Astronomy and School of GeoSciences, said:
“We have shown how a quick, non-invasive method can be used to discriminate between different lifeforms, and this opens a unique window on the diversity of early life on Earth.”
Employing a technique known as FTIR spectroscopy – in which infrared light is used to collect high-resolution data – researchers found impressive preservation of molecular information within the cells, tissues and organisms in the rock.
Since they already knew which organisms most of the fossils represented, the team was able to discover molecular fingerprints that reliably discriminate between fungi, bacteria and other groups.
These fingerprints were then used to identify some of the more mysterious members of the Rhynie ecosystem, including two specimens of an enigmatic tubular “nematophyte”.
These strange organisms, which are found in Devonian – and later Silurian – sediments have both algal and fungal characteristics and were previously hard to place in either category. The new findings indicate that they were unlikely to have been either lichens or fungi.
The team fed their data into a machine learning algorithm that was able to classify the different organisms, providing the potential for sorting other datasets from other fossil-bearing rocks.
Dr Corentin Loron, Royal Society Newton International Fellow from the University of Edinburgh’s School of Physics and Astronomy said the study shows the value of bridging palaeontology with physics and chemistry to create new insights into early life. He said:
“Our work highlights the unique scientific importance of some of Scotland’s spectacular natural heritage and provides us with a tool for studying life in trickier, more ambiguous remnants.”
Dr Nick Fraser, Keeper of Natural Sciences at National Museums Scotland, believes the value of museum collections for understanding our world should never be underestimated.
He added:
“The continued development of analytical techniques provides new avenues to explore the past. Our new study provides one more way of peering ever deeper into the fossil record.”
Click on this link to access the study, Molecular fingerprints resolve affinities of Rhynie chert organic fossils, published in Nature Communications. It was funded by The Royal Society, Wallonia–Brussels International and the National Council of Science and Technology of Mexico.
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Categories: Science
