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Published on: December 25, 2016
Palaeogenomics of the Hydrocarbon Producing Microalga Botryococcus braunii
Richard K Tennant1, Thomas M Lux2, Christine M Sambles1
1Biosciences, College of Environmental and Life Sciences, The University of Exeter, Exeter, EX4 4QD, UK.
Ancient DNA sequencing and flow cytometry accurately identify Botryococcus microfossils in Holocene sediments. This breakthrough improves paleoenvironmental reconstructions by overcoming limitations of morphological identification alone.
Area of Science:
- Paleontology
- Microbiology
- Geochemistry
Background:
- Botryococcus braunii microfossils are crucial paleoenvironmental proxies found in the fossil record.
- Palaeozoic Botryococcus fossils are linked to geolipids in oil shales, but this association is absent in Holocene sediments.
- Morphological identification of Holocene Botryococcus is prone to misclassification, impacting paleoenvironmental accuracy.
Purpose of the Study:
- To develop a precise method for identifying Botryococcus microfossils in Holocene sediments.
- To overcome the limitations of morphological identification in recent geological records.
- To enhance the accuracy of paleoenvironmental reconstructions using microfossil analysis.
Main Methods:
- Utilized flow cytometry for microfossil analysis.
- Employed ancient DNA (aDNA) sequencing for unambiguous species identification.
- Combined flow cytometry and aDNA sequencing for high-resolution microfossil characterization.
Main Results:
- Achieved unparalleled accuracy and rapidity in identifying Botryococcus microfossils in Holocene sediments.
- Demonstrated the effectiveness of aDNA sequencing in distinguishing Botryococcus from other microfossils.
- Established a reliable method for microfossil identification in recent sediments.
Conclusions:
- Ancient DNA sequencing offers a powerful tool for identifying microfossils in Holocene sediments.
- This technique significantly improves the accuracy of paleoenvironmental reconstructions.
- Integrating microfossil aDNA with other paleoenvironmental data (e.g., human and megafauna aDNA) provides deeper insights into past environments and migrations.
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