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Incorporating molecular data in fungal systematics: a guide for aspiring researchers

Kevin D. Hyde ; Dhanushka Udayanga ; Dimuthu S. Manamgoda ; Leho Tedersoo ; Ellen Larsson ; Kessy Abarenkov ; Yann Bertrand ; Bengt Oxelman ; Martin Hartmann ; Håvard Kauserud ; Martin Ryberg ; Erik Kristiansson (Institutionen för matematiska vetenskaper, matematisk statistik) ; R. Henrik Nilsson
Current Research in Environmental and Applied Mycology (2229-2225). Vol. 3 (2013), 1, p. artikel nr 1.
[Artikel, refereegranskad vetenskaplig]

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.

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


Open access.



Denna post skapades 2013-05-07. Senast ändrad 2015-03-04.
CPL Pubid: 176611

 

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Institutioner (Chalmers)

Institutionen för biologi och miljövetenskap (GU)
Institutionen för matematiska vetenskaper, matematisk statistik (2005-2016)

Ämnesområden

Bioinformatik (beräkningsbiologi)
Mikrobiologi
Botanik
Bioinformatik och systembiologi
Terrestrisk ekologi
Biologisk systematik
Evolutionsbiologi
Medicinsk mikrobiologi
Markbiologi

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