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Insights into the genus Austrella (Pannariaceae, Peltigerales), including a new species from the Falkland Islands

Published online by Cambridge University Press:  18 January 2017

Alan M. FRYDAY ,
Damien ERTZ  and
Per Magnus JØRGENSEN
Alan M. FRYDAY
Affiliation:
Herbarium, Department of Plant Biology, Michigan State University, East Lansing, MI 48824-1312, USA. Email: fryday@msu.edu
Damien ERTZ
Affiliation:
Department Bryophytes-Thallophytes, Botanic Garden Meise, Nieuwelaan 38, B-1860 Meise, Belgium Fédération Wallonie-Bruxelles, Direction Générale de l’Enseignement non obligatoire et de la Recherche Scientifique, Rue A. Lavallée 1, B-1080 Bruxelles, Belgium
Per Magnus JØRGENSEN
Affiliation:
Herbarium, Museum of Natural History, Bergen University Museum, Allégaten 41, Postboks 7800, N-5020 Bergen, Norway
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Abstract

The new species Austrella isidioidea, which is unique in the genus in having isidioid structures on the thallus lobe ends as well as apothecia lacking a thalline margin, is described from the Falkland Islands. A collection with an identical mtSSU rDNA sequence to A. arachnoidea but with significant morphological differences (viz. a variable apothecial margin ranging from an arachnoid hyphal weft to a corticated regular margin) is reported from Îles Kerguelen. The phylogenetic and biogeographical implications of these new records are discussed.

Keywords

biogeographyGondwanan distributionÎles KerguelenlichenPsoroma-clade
Type
Articles
Information
The Lichenologist , Volume 49 , Issue 1 , January 2017 , pp. 57 - 65
Copyright
© British Lichen Society, 2017 

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References

Akaike, H. (1973) Information theory and an extension of the maximum likelihood principle. In Second International Symposium on Information Theory (B. N. Petrov & F. Csaki, eds): 267–281. Budapest: Akademiai Kiado.Google Scholar
Ekman, S., Wedin, M., Lindblom, L. & Jørgensen, P. M. (2014) Extended and revised generic classification of the Pannariaceae (Peltigerales, Ascomycota). Lichenologist 45: 627–656.CrossRefGoogle Scholar
Ertz, D., Tehler, A., Irestedt, M., Frisch, A., Thor, G. & van den Boom, P. (2015) A large-scale phylogenetic revision of Roccellaceae (Arthoniales) reveals eight new genera. Fungal Diversity 70: 31–53.CrossRefGoogle Scholar
Fryday, A. M. & Coppins, B. J. (2007) A second species of Lithographa with submuriform ascospores. Lichenologist 39: 245–250.CrossRefGoogle Scholar
Galloway, D. J. (1987) Austral lichen genera: some biogeographical problems. Bibliotheca Lichenologica 25: 385–400.Google Scholar
Gelman, A. & Rubin, D. B. (1992) Inference from iterative simulation using multiple sequences. Statistical Science 7: 457–511.CrossRefGoogle Scholar
Huelsenbeck, J. P. & Ronquist, F. (2001) MRBAYES: Bayesian inference of phylogenetic trees. Bioinformatics 17: 754–755.CrossRefGoogle ScholarPubMed
Jørgensen, P. M. (2004) Further contributions to the Pannariaceae (lichenized Ascomycetes) in the Southern Hemisphere. Bibliotheca Lichenologica 88: 229–293.Google Scholar
Maddison, W. P. & Maddison, D. R. (2015) Mesquite: a modular system for evolutionary analysis. Version 3.04. Available from: http://mesquiteproject.org.Google Scholar
Miller, M. A., Pfeiffer, W. & Schwartz, T. (2010) Creating the CIPRES Science Gateway for inference of large phylogenetic trees. In Proceedings of the Gateway Computing Environments Workshop (GCE), 14 November 2010. New Orleans, Louisiana, pp. 1–8.Google Scholar
Orange, A., James, P. W. & White, F. J. (2001) Microchemical Methods for the Identification of Lichens. London: British Lichen Society.Google Scholar
Posada, D. & Crandall, K. A. (1998) MODELTEST: testing the model of DNA substitution. Bioinformatics 14: 817–818.CrossRefGoogle ScholarPubMed
Rambaut, A. (2012) FigTree v1.4.2. Available from: http://tree.bio.ed.ac.uk/software/figtree/ Google Scholar
Rambaut, A. & Drummond, A. J. (2007) Tracer v1.6. Available from: http://beast.bio.ed.ac.uk/ Google Scholar
Ronquist, F. & Huelsenbeck, J. P. (2003) MrBayes 3: Bayesian phylogenetic inference under mixed models. Bioinformatics 19: 1572–1574.CrossRefGoogle ScholarPubMed
Swofford, D. L. (2002) PAUP*: Phylogenetic Analysis Using Parsimony (*and Other Methods). Version 4. Sunderland, Massachusetts: Sinauer Associates.Google Scholar
Wheeler, D. L., Barrett, T., Benson, D. A., Bryant, S. H., Canese, K., Chetvernin, V., Church, D. M., DiCuccio, M., Edgar, R., Federhen, S. et al. (2006) Database resources of the National Center for Biotechnology Information. Nucleic Acids Research 34: 173–180.Google Scholar
Zhang, Z., Schwartz, S., Wagner, L. & Miller, W. (2000) A greedy algorithm for aligning DNA sequences. Journal of Computational Biology 7: 203–214.CrossRefGoogle ScholarPubMed
Zoller, S., Scheidegger, C. A. & Sperisen, C. (1999) PCR primers for the amplification of mitochondrial small subunit ribosomal DNA of lichen-forming ascomycetes. Lichenologist 31: 511–516.Google Scholar
Zwickl, D. J. (2006) Genetic algorithm approaches for the phylogenetic analysis of large biological sequence datasets under the maximum likelihood criterion. Ph.D. dissertation, University of Texas at Austin.Google Scholar