The genomic revolution has fundamentally changed how we survey biodiversity on earth.
High‐throughput sequencing (“HTS”) platforms now enable the rapid sequencing of DNA …

The purpose of this review is to present the most common and emerging DNA‐based
methods used to generate data for biodiversity and biomonitoring studies. As environmental …

True fungi (Fungi) and fungus-like organisms (eg Mycetozoa, Oomycota) constitute the
second largest group of organisms based on global richness estimates, with around 3 …

Metabarcoding of environmental samples has many challenges and limitations that require
carefully considered laboratory and analysis workflows to ensure reliable results. We …

Documenting the diversity of marine life is challenging because many species are cryptic,
small, and rare, and belong to poorly known groups. New sequencing technologies …

Although it is generally agreed that the Arctic flora is among the youngest and least diverse
on Earth, the processes that shaped it are poorly understood. Here we present 50 thousand …

To manage and conserve biodiversity, one must know what is being lost, where, and why, as
well as which remedies are likely to be most effective. Metabarcoding technology can …

Traditional biodiversity assessment is costly in time, money and taxonomic expertise.
Moreover, data are frequently collected in ways (eg visual bird lists) that are unsuitable for …

Background Likelihood-based phylogenetic inference is generally considered to be the most
reliable classification method for unknown sequences. However, traditional likelihood-based …

DNA obtained from environmental samples such as sediments, ice or water (environmental
DNA, eDNA), represents an important source of information on past and present biodiversity …