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8 results for “meta-barcoding”
Data from: Islands in the ice: detecting past vegetation on Greenlandic nunataks using historical records and sedimentary ancient DNA meta-barcoding
Nunataks are isolated bedrocks protruding through ice sheets. They vary in age, but represent island environments in "oceans" of ice through which organism dispersals and replacements can be studied over time. The J.A.D. Jensen's Nunataks at the southern Greenland ice sheet are the most isolated nunataks on the northern hemisphere - some 30 km from the nearest biological source. They constitute around 2 km2 of ice-free land that was established in the early Holocene. We have investigated the changes in plant composition at these nunataks using both the results of surveys of the flora over the last 130 years, and through reconstruction of the vegetation from the end of the Holocene Thermal Maximum (5528±75 cal yr BP) using meta-barcoding of plant DNA recovered from the nunatak sediments (sedaDNA). Our results show that several of the plant species detected with sedaDNA are described from earlier vegetation surveys on the nunataks (in 1878, 1967 and 2009). In 1967, a much higher biodiversity was detected than from any other of the studied periods. While this may be related to differences in sampling efforts for the oldest period, it is not the case when comparing the 1967 and 2009 levels where the botanical survey was exhaustive. As no animals and humans are found on the nunataks, this change in diversity over a period of just 42 years must relate to environmental changes likely being climate-driven. This suggests that even the flora of fairly small and isolated ice-free areas reacts quickly to a changing climate.
Supplementary material 2 from: Cahoon AB, Huffman AG, Krager MM, Crowell RM (2018) A meta-barcoding census of freshwater planktonic protists in Appalachia – Natural Tunnel State Park, Virginia, USA. Metabarcoding and Metagenomics 2: e26939. https://doi.org/10.3897/mbmg.2.26939
Figure 2. Rarefaction analysis estimates demonstrate that family and genus collections were approaching saturation :
Data from: Islands in the ice: detecting past vegetation on Greenlandic nunataks using historical records and sedimentary ancient DNA meta-barcoding
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Supplementary material 5 from: Cahoon AB, Huffman AG, Krager MM, Crowell RM (2018) A meta-barcoding census of freshwater planktonic protists in Appalachia – Natural Tunnel State Park, Virginia, USA. Metabarcoding and Metagenomics 2: e26939. https://doi.org/10.3897/mbmg.2.26939
Table 3. Diversity Indices. :
Supplementary material 3 from: Cahoon AB, Huffman AG, Krager MM, Crowell RM (2018) A meta-barcoding census of freshwater planktonic protists in Appalachia – Natural Tunnel State Park, Virginia, USA. Metabarcoding and Metagenomics 2: e26939. https://doi.org/10.3897/mbmg.2.26939
Table 1. All Detected Taxa :
Supplementary material 1 from: Cahoon AB, Huffman AG, Krager MM, Crowell RM (2018) A meta-barcoding census of freshwater planktonic protists in Appalachia – Natural Tunnel State Park, Virginia, USA. Metabarcoding and Metagenomics 2: e26939. https://doi.org/10.3897/mbmg.2.26939
Figure 1. Sample collection sites :
Supplementary material 6 from: Cahoon AB, Huffman AG, Krager MM, Crowell RM (2018) A meta-barcoding census of freshwater planktonic protists in Appalachia – Natural Tunnel State Park, Virginia, USA. Metabarcoding and Metagenomics 2: e26939. https://doi.org/10.3897/mbmg.2.26939
Table 4. The protist genera identified in Natural Tunnel State Park organised by read count. :
Supplementary material 4 from: Cahoon AB, Huffman AG, Krager MM, Crowell RM (2018) A meta-barcoding census of freshwater planktonic protists in Appalachia – Natural Tunnel State Park, Virginia, USA. Metabarcoding and Metagenomics 2: e26939. https://doi.org/10.3897/mbmg.2.26939
Table 2. Primers and PCR Conditions. :
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
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OpenNeuro
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