| 1. |
- Mármol-Sánchez, Emilio, et al.
(författare)
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Historical RNA expression profiles from the extinct Tasmanian tiger
- 2023
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Ingår i: Genome Research. - 1088-9051 .- 1549-5469. ; 33:8, s. 1299-1316
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Tidskriftsartikel (refereegranskat)abstract
- Paleogenomics continues to yield valuable insights into the evolution, population dynamics, and ecology of our ancestors and other extinct species. However, DNA sequencing cannot reveal tissue-specific gene expression, cellular identity, or gene regulation, which are only attainable at the transcriptional level. Pioneering studies have shown that useful RNA can be extracted from ancient specimens preserved in permafrost and historical skins from extant canids, but no attempts have been made so far on extinct species. We extract, sequence, and analyze historical RNA from muscle and skin tissue of a ∼130-year-old Tasmanian tiger (Thylacinus cynocephalus) preserved in desiccation at room temperature in a museum collection. The transcriptional profiles closely resemble those of extant species, revealing specific anatomical features such as slow muscle fibers or blood infiltration. Metatranscriptomic analysis, RNA damage, tissue-specific RNA profiles, and expression hotspots genome-wide further confirm the thylacine origin of the sequences. RNA sequences are used to improve protein-coding and noncoding annotations, evidencing missing exonic loci and the location of ribosomal RNA genes while increasing the number of annotated thylacine microRNAs from 62 to 325. We discover a thylacine-specific microRNA isoform that could not have been confirmed without RNA evidence. Finally, we detect traces of RNA viruses, suggesting the possibility of profiling viral evolution. Our results represent the first successful attempt to obtain transcriptional profiles from an extinct animal species, providing thought-to-be-lost information on gene expression dynamics. These findings hold promising implications for the study of RNA molecules across the vast collections of natural history museums and from well-preserved permafrost remains.
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| 2. |
- Niebylski, Jakub M., et al.
(författare)
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Unveiling Hunnic legacy : Decoding elite presence in Poland through a unique child’s burial with modified cranium
- 2024
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Ingår i: Journal of Archaeological Science. - 2352-409X .- 2352-4103. ; 56
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Tidskriftsartikel (refereegranskat)abstract
- This article presents a double burial from Czulice indicating elements of the Hunnic culture. Individual I, aged 7–9, and Individual II, aged 8–9 with a skull deformation, were both genetically identified as boys. Individual II, who exhibited genetic affinity to present day Asian populations, was equipped with gold and silver items. In contrast, Individual I displayed European ancestry. The application of strontium isotope analysis shed light on the origins of the individuals. Individual I was non-local, while Individual II was identified as a local, but also falling within the range commonly associated with the Pannonian Plain. Stable isotope analysis suggested a diet consisting of inland resources. Through radiocarbon dating, this burial was determined to date back to the years 395–418 CE, making it the earliest grave of its kind discovered in Poland. The analyses have provided new insights into the nature of the relationship between the Huns and the local inhabitants.
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| 3. |
- Pochon, Zoé, et al.
(författare)
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aMeta : an accurate and memory-efficient ancient metagenomic profiling workflow
- 2023
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Ingår i: Genome Biology. - : BioMed Central (BMC). - 1465-6906 .- 1474-760X. ; 24
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Tidskriftsartikel (refereegranskat)abstract
- Analysis of microbial data from archaeological samples is a growing field with great potential for understanding ancient environments, lifestyles, and diseases. However, high error rates have been a challenge in ancient metagenomics, and the availability of computational frameworks that meet the demands of the field is limited. Here, we propose aMeta, an accurate metagenomic profiling workflow for ancient DNA designed to minimize the amount of false discoveries and computer memory requirements. Using simulated data, we benchmark aMeta against a current state-of-the-art workflow and demonstrate its superiority in microbial detection and authentication, as well as substantially lower usage of computer memory.
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