MOESM3 of Spatial and temporal dynamics of Antarctic shallow soft-bottom benthic communities: ecological drivers under climate change

Additional file 3: Table S4. Summary results of the metabarcoding in silico analysis for both markers tested (COI and 18S rRNA) using QIIME2. Total number of raw reads and reads after each step in the pipelines are shown as well as total number of Amplicon Sequence Variants (ASVs) after running Qiim...

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Bibliographic Details
Main Authors: Vause, Belinda, Morley, Simon, Fonseca, Vera, JaĹźdĹźewska, Anna, Ashton, Gail, Barnes, David, Giebner, Hendrik, Clark, Melody, Peck, Lloyd
Format: Text
Language:unknown
Published: figshare 2019
Subjects:
Genetics
FOS Biological sciences
Molecular Biology
Evolutionary Biology
59999 Environmental Sciences not elsewhere classified
FOS Earth and related environmental sciences
Ecology
69999 Biological Sciences not elsewhere classified
Inorganic Chemistry
FOS Chemical sciences
60506 Virology
Antarctic
Antarc*
Online Access:https://dx.doi.org/10.6084/m9.figshare.8426201.v1
https://springernature.figshare.com/articles/MOESM3_of_Spatial_and_temporal_dynamics_of_Antarctic_shallow_soft-bottom_benthic_communities_ecological_drivers_under_climate_change/8426201/1
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Summary:Additional file 3: Table S4. Summary results of the metabarcoding in silico analysis for both markers tested (COI and 18S rRNA) using QIIME2. Total number of raw reads and reads after each step in the pipelines are shown as well as total number of Amplicon Sequence Variants (ASVs) after running Qiime2. ASVs assigned to both Eukaryotes and Metazoa are shown for the different BLAST sequence identity matches (90%, 95% and 97%) and also Not assigned ASVs for both markers using 95% BLAST match. Shaded grey; data used for ecological patterns and community profiles at higher taxonomic ranking. (*) ASVs used to compare species identification detected by eDNA and morphology. Amplicon Sequence Variants; ASVs.

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