Arctic plant species display contrasting levels of chloroplast DNA copy numbers DOI Creative Commons
Stefaniya Kamenova, Sylvain Moinard, Samantha P. H. Dwinnell

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 1, 2025

Abstract DNA metabarcoding has revolutionised our ability to characterise biodiversity at unprecedented spatial and temporal scales, outperforming most traditional methods for monitoring. However, is not without limitations, in particular regarding the quantitative relationship between sequence read abundances species numerical or biomass (i.e., performance). Variation copy numbers been often pinpointed as a potentially important factor biasing performance but empirical comparisons of number variation across remain rare. Here, we identify chloroplast (cpDNA CNV) plants that could impact studies. Using digital droplet PCR, quantified four common high Arctic plant two tissue types (green tissues roots). The amount cpDNA per unit dry mass varied by 3 (for roots) 7.6 green tissues) among species, up 67 when comparing root from same species. Despite significant differences both roots, pronounced were clearly tested. These findings suggest particularly can be an underestimated impacting reads abundance datasets. We call more extensive CNV referencing efforts wild-ranging improve use research

Language: Английский

Arctic plant species display contrasting levels of chloroplast DNA copy numbers DOI Creative Commons
Stefaniya Kamenova, Sylvain Moinard, Samantha P. H. Dwinnell

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 1, 2025

Abstract DNA metabarcoding has revolutionised our ability to characterise biodiversity at unprecedented spatial and temporal scales, outperforming most traditional methods for monitoring. However, is not without limitations, in particular regarding the quantitative relationship between sequence read abundances species numerical or biomass (i.e., performance). Variation copy numbers been often pinpointed as a potentially important factor biasing performance but empirical comparisons of number variation across remain rare. Here, we identify chloroplast (cpDNA CNV) plants that could impact studies. Using digital droplet PCR, quantified four common high Arctic plant two tissue types (green tissues roots). The amount cpDNA per unit dry mass varied by 3 (for roots) 7.6 green tissues) among species, up 67 when comparing root from same species. Despite significant differences both roots, pronounced were clearly tested. These findings suggest particularly can be an underestimated impacting reads abundance datasets. We call more extensive CNV referencing efforts wild-ranging improve use research

Language: Английский

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