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Molecular sequence data from populations of Bryoria fuscescens s. lat. in the mountains of central Spain indicates a mismatch between haplotypes and chemotypes

Published online by Cambridge University Press:  09 September 2015

Carlos G. Boluda
Affiliation:
Departamento de Biología Vegetal II, Facultad de Farmacia, Universidad Complutense de Madrid, Plaza de Ramón y Cajal s/n, Madrid 28040, Spain. Email: carlos.g.boluda@gmail.com
Víctor J. Rico
Affiliation:
Departamento de Biología Vegetal II, Facultad de Farmacia, Universidad Complutense de Madrid, Plaza de Ramón y Cajal s/n, Madrid 28040, Spain. Email: carlos.g.boluda@gmail.com
Ana Crespo
Affiliation:
Departamento de Biología Vegetal II, Facultad de Farmacia, Universidad Complutense de Madrid, Plaza de Ramón y Cajal s/n, Madrid 28040, Spain. Email: carlos.g.boluda@gmail.com
Pradeep K. Divakar
Affiliation:
Departamento de Biología Vegetal II, Facultad de Farmacia, Universidad Complutense de Madrid, Plaza de Ramón y Cajal s/n, Madrid 28040, Spain. Email: carlos.g.boluda@gmail.com
David L. Hawksworth
Affiliation:
Departamento de Biología Vegetal II, Facultad de Farmacia, Universidad Complutense de Madrid, Plaza de Ramón y Cajal s/n, Madrid 28040, Spain. Email: carlos.g.boluda@gmail.com Department of Life Sciences, The Natural History Museum, Cromwell Road, London SW7 5BD, UK Mycology Section, Royal Botanic Gardens, Kew, Surrey TW9 3DS, UK

Abstract

In order to confirm and investigate the extent of reported mismatches between chemotypes and molecular sequence data in Bryoria fuscescens s. lat., we examined 15 morphologically similar thalli from each of three Pinus forest sites in the Sistema Central of central Spain. Three thalli were rejected due to infections by Phacopsis huuskonenii (not previously published from Spain). The remaining 42 thalli represented nine ITS rDNA haplotypes and four chemotypes (by TLC): fumarprotocetraric and protocetraric acids; norstictic and connorstictic acids; psoromic acid; and fumarprotocetraric, protocetraric and psoromic acids. The molecular phylogenetic tree was characterized by extremely short branch lengths, often only with a single mutational difference, and a single haplotype could have different chemical products. In some cases, adjacent specimens represented different chemotypes, and three thalli appeared to be mixed individuals. Consistency of both molecular and chemical data within individual specimens was demonstrated by examining four different parts of each thallus, which showed only a difference in the location of psoromic acid in some. This is the first population-level study of this taxon, and so it is premature to propose taxonomic changes at this time. Further populations in different parts of the geographical range of this widespread complex now need to be analyzed, and more sensitive chemical analyses conducted, in order to understand the basis of the variability and determine the appropriate taxonomic treatment.

Type
Articles
Copyright
© British Lichen Society, 2015 

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References

Boluda, C. G., Rico, V. J. & Hawksworth, D. L. (2014) Fluorescence microscopy as a tool for the visualization of lichen substances within Bryoria thalli. Lichenologist 46: 723726.Google Scholar
Brodo, I. M. & Hawksworth, D. L. (1977) Alectoria and allied genera in North America. Opera Botanica 42: 1142.Google Scholar
Crespo, A., Blanco, O. & Hawksworth, D. L. (2001) The potential of mitochondrial DNA for establishing phylogeny and establishing generic concepts in the parmelioid lichens. Taxon 50: 807819.CrossRefGoogle Scholar
Del-Prado, R., Divakar, P. K. & Crespo, A. (2011) Using genetic distances in addition to ITS molecular phylogeny to identify potential species in the Parmotrema reticulatum complex: a case study. Lichenologist 43: 569583.Google Scholar
Excoffier, L., Laval, G. & Schneider, S. (2005) Arlequin (version 3.0): an integrated software package for population genetics data analysis. Evolutionary Bioinformatics Online 1: 4750.Google Scholar
Frisvad, J. C. (2005) Halotolerant and halophilic fungi and their extrolite production. In Adaptation of Life at High Salt Concentrations in Archaea, Bacteria and Eukarya (N. Gunde-Cimerman, A. Oren & A. Plemenitas, eds): 415439. Rensing: Springer.Google Scholar
Gutiérrez, G., Blanco, O., Divakar, P. K., Lumbsch, H. T. & Crespo, A. (2007) Patterns of group I intron presence in nuclear SSU rDNA of the lichen family Parmeliaceae. Journal of Molecular Evolution 64: 181195.Google Scholar
Hawksworth, D. L. (1976) Lichen chemotaxonomy. In Lichenology: Progress and Problems (D. H. Brown, D. L. Hawksworth & R. H. Bailey, eds): 139184. London: Academic Press.Google Scholar
Hawksworth, D. L. (1988) The variety of fungal-algal symbioses, their evolutionary significance, and the nature of lichens. Botanical Journal of the Linnean Society 96: 330.Google Scholar
Hawksworth, D. L., Crespo, A., Rico, V. J. & Ruibal, C. (2011) Species concepts in the Bryoria capillaris / fuscescens / implexa complex – fresh specimens required to solve some current problems. British Lichen Society Bulletin 109: 911.Google Scholar
Holien, H. (1989) The genus Bryoria sect. Implexae in Norway. Lichenologist 21: 243258.Google Scholar
Huelsenbeck, J. P. & Ronquist, F. (2001) MrBayes: Bayesian inference of phylogenetic trees. Bioinformatics 17: 754755.Google Scholar
James, P. W., Hawksworth, D. L. & Rose, F. (1977) Lichen communities in the British Isles: a preliminary conspectus. In Lichen Ecology (M. R. D. Seaward, ed.): 295413. London: Academic Press.Google Scholar
Katoh, K. & Standley, D. M. (2013) MAFFT multiple sequence alignment software version 7: improvements in performance and usability. Molecular Biology and Evolution 30: 772780.CrossRefGoogle ScholarPubMed
Krog, H. (1980) On Bryoria chalybeiformis and some related species. Lichenologist 12: 243245.Google Scholar
Librado, P. & Rozas, J. (2009) DnaSP v5: a software for comprehensive analysis of DNA polymorphism data. Bioinformatics 25: 14511452.Google Scholar
Lumbsch, H. T. (1998) The use of metabolic data in lichenology at the species and subspecific levels. Lichenologist 30: 357367.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), November 14, 2010, New Orleans, Louisiana, pp 1–8.Google Scholar
Myllys, L., Velmala, S., Holien, H., Halonen, P., Wang, L.-S. & Goward, T. (2011 a) Phylogeny of the genus Bryoria . Lichenologist 43: 617638.Google Scholar
Myllys, L., Velmala, S. & Holien, H. (2011 b) Bryoria. In Nordic Lichen Flora Vol. 4. Parmeliaceae (A. Thell & R. Moberg, eds): 2637. Uppsala: Nordic Lichen Society.Google Scholar
Orange, A., James, P. W. & White, F. J. (2010) Microchemical Methods for the Identification of Lichens. 2nd edn. London: British Lichen Society.Google Scholar
Posada, D. (2008) jModelTest: phylogenetic model averaging. Molecular Biology and Evolution 25: 12531256.Google Scholar
R Development Core Team (2012) R: A Language and Environment for Statistical Computing. Vienna: R Foundation for Statistical Computing.Google Scholar
Rambaut, A. (2009) FigTree v1.4. Available at: http://tree.bio.ed.ac.uk/software/figtree/.Google Scholar
Rambaut, A. & Drummond, J. (2007) Tracer v1.5. Available at: http://beast.bio.ed.ac.uk/Tracer.Google Scholar
Ramos-Onsins, S. E. & Rozas, J. (2002) Statistical properties of new neutrality tests against population growth. Molecular Biology and Evolution 19: 20922100.Google Scholar
Rodríguez, F., Oliver, J. F., Marín, A. & Medina, J. R. (1990) The general stochastic model of nucleotide substitution. Journal of Theoretical Biology 142: 485501.Google Scholar
Ronquist, F. & Huelsenbeck, J. P. (2003) MrBayes 3: Bayesian phylogenetic inference under mixed models. Bioinformatics 19: 15721574.Google Scholar
Stamatakis, A. (2006) RAxML-VI-HPC: maximum likelihood-based phylogenetic analyses with thousands of taxa and mixed models. Bioinformatics 22: 26882690.CrossRefGoogle ScholarPubMed
Stamatakis, A., Hoover, P. & Rougemont, J. (2008) A rapid bootstrap algorithm for the RAxML webservers. Systematic Biology 57: 758771.CrossRefGoogle Scholar
Tamura, K., Peterson, D., Peterson, N., Stecher, G., Nei, M. & Kumar, S. (2011) MEGA5: molecular evolutionary genetics analysis using maximum likelihood, evolutionary distance, and maximum parsimony methods. Molecular Biology and Evolution 28: 27312739.Google Scholar
Toju, H., Tanabe, A. S., Yamamoto, S. & Sato, H. (2012) High-coverage ITS for the DNA-based identification of ascomycetes and basidiomycetes in environmental samples. PLoS ONE 7: e40863.Google Scholar