Soil biodiversity and DNA barcodes: opportunities and challenges

By A. Orgiazzi, M. B. Dunbar, Panos Panagos, G. A. D. Groot, P. Lemanceau. 2015

152 citations recorded by the source corpus.

Soils encompass a huge diversity of organisms which mostly remains to be characterized due to a number of methodological and logistical issues. Nonetheless, remarkable progress has been made in recent years toward developing strategies to characterize and describe soil biodiversity, especially thanks to the development of molecular approaches relying on direct DNA extraction from the soil matrix. Metabarcoding can be applied to DNA from any environment or organism, and is gaining increasing prominence in biodiversity studies. This approach is already commonly used to characterize soil microbial communities and its application is now being extended to other soil organisms, i.e. meso- and macro-fauna. These developments offer unprecedented scientific and operational opportunities in order to better understand soil biodiversity distribution and dynamics, and to propose tools and strategies for biodiversity diagnosis. However, these opportunities also come with challenges that the scientific community must face. Such challenges are related to i) clarification of terminology, (ii) standardisation of methods and further methodological development for additional taxonomic groups, (iii) development of a common database, and (iv) ways to avoid waste of information and data derived from metabarcoding. In order to facilitate common application of metabarcoding in soil biodiversity assessment, we discuss these opportunities and challenges and propose solutions towards a more homogeneous framework. © 2014 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/).

Subfields: Ecology, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/c52cf52d94408d1c0e69161d092e5ec77f867323

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecology

  1. Marcel G. A. van der Heijden
  2. S. Bender
  3. C. Andújar
  4. Cameron Wagg
  5. K. Hopkins
  6. M. Shepherd
  7. P. Arribas
  8. A. Vogler

In Molecular Biology

  1. C. Andújar
  2. Cameron Wagg
  3. K. Hopkins
  4. M. Shepherd
  5. P. Arribas
  6. A. Vogler

Citations in the corpus