Incorporating molecular data in fungal systematics: a guide for aspiring researchers
Journal article, 2013

The last twenty years have witnessed molecular data emerge as a primary research instrument in most branches of mycology. Fungal systematics, taxonomy, and ecology have all seen tremendous progress and have undergone rapid, far-reaching changes as disciplines in the wake of continual improvement in DNA sequencing technology. A taxonomic study that draws from molecular data involves a long series of steps, ranging from taxon sampling through the various laboratory procedures and data analysis to the publication process. All steps are important and influence the results and the way they are perceived by the scientific community. The present paper provides a reflective overview of all major steps in such a project with the purpose to assist research students about to begin their first study using DNA-based methods. We also take the opportunity to discuss the role of taxonomy in biology and the life sciences in general in the light of molecular data. While the best way to learn molecular methods is to work side by side with someone experienced, we hope that the present paper will serve to lower the learning threshold for the reader.

biodiversity – molecular marker – phylogeny – publication – species – Sanger sequencing – taxonomy

Author

Kevin D. Hyde

Dhanushka Udayanga

Dimuthu S. Manamgoda

Leho Tedersoo

Ellen Larsson

University of Gothenburg

Kessy Abarenkov

Yann Bertrand

University of Gothenburg

Bengt Oxelman

University of Gothenburg

Martin Hartmann

Håvard Kauserud

Martin Ryberg

Erik Kristiansson

University of Gothenburg

Chalmers, Mathematical Sciences, Mathematical Statistics

R. Henrik Nilsson

University of Gothenburg

Current Research in Environmental and Applied Mycology

2229-2225 (ISSN)

Vol. 3 1 artikel nr 1-

Subject Categories

Evolutionary Biology

Botany

Biological Systematics

Soil Science

Ecology

Microbiology

Bioinformatics (Computational Biology)

Microbiology in the medical area

Bioinformatics and Systems Biology

DOI

10.5943/cream/3/1/1

More information

Created

10/7/2017