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Book of Abstracts (PDF) - International Mycological Association

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IMC7 Friday August 16th Lectures<br />

414 - Pezizomycetes<br />

K. Hansen<br />

Harvard University Herbaria, 22 Divinity Ave.,<br />

Cambridge, MA02138, U.S.A.<br />

Molecular phylogenetic studies in the Pezizomycetes (with<br />

single order Pezizales) have over the past five years<br />

revealed new information on relationships between<br />

families and genera. Pezizales currently includes 14<br />

families, and is composed <strong>of</strong> at least 3 distinct lineages: A)<br />

Ascobolaceae and Pezizaceae, B) a Discinaceae-<br />

Morchellaceae clade, a Helvellaceae-Tuberaceae-<br />

Karstenellaceae clade and a monotypic Rhizinaceae clade,<br />

C) Ascodesmidaceae, Glaziellaceae, Pyronemataceae,<br />

Sarcoscyphaceae and Sarcosomataceae. The placement <strong>of</strong><br />

the monotypic family Carbomycetaceae is unknown.<br />

Lineage C is the most heterogeneous lineage and the<br />

delimitations <strong>of</strong> all included families are problematic. To<br />

resolve family level relationships within lineage C it will<br />

be necessary to evaluate the largest and presumed<br />

polyphyletic Pyronemataceae in the context <strong>of</strong> closely<br />

related taxa (Ascodesmidaceae, Glaziellaceae,<br />

Sarcoscyphaceae and Sarcosomataceae). The<br />

Pyronemataceae has been a 'default' family for pezizalean<br />

taxa with uninucleate spores and iodine negative asci,<br />

which lack unifying anatomical characters by which they<br />

could be segregated into putative natural families. The<br />

evolutionary relationships <strong>of</strong> Ascodesmis and Glaziella,<br />

and the justification <strong>of</strong> the families Ascodesmidaceae and<br />

Glaziellaceae, or their circumscription, is still uncertain.<br />

Lineages A and B appears to be well-separated<br />

evolutionary lineages and the delimitation <strong>of</strong> families<br />

within these has to a large extent been clarified.<br />

415 - Sordariomycetes<br />

T. Læssøe<br />

Department <strong>of</strong> Mycology, Botanical Institute, Oester<br />

Farimagsgade 2D, DK-1353 Copenhagen K, Denmark.<br />

Current classification <strong>of</strong> higher taxa in the class will be<br />

discussed. The genera currently accepted within the<br />

Xylariaceae will be given brief comments as to their<br />

current status and various problems will be raised. Several<br />

if not most <strong>of</strong> the so called core genera <strong>of</strong> the family can<br />

with the present knowledge not be considered<br />

monophyletic.<br />

416 - Laboulbeniomycetes, Spathulosporomycetes and<br />

Ascomycota inc. sed.<br />

O.E. Eriksson<br />

Department <strong>of</strong> Ecology and Environmental Science, Umeå<br />

University, S-90187 Umeå, Sweden. - E-mail:<br />

ove.eriksson@eg.umu.se<br />

The two classes Laboulbeniomycetes and<br />

Spathulosporomycetes are briefly presented and<br />

Ascomycota with uncertain affinities are discussed.<br />

417 - Integrating biological data within an evolutionary<br />

framework<br />

I. Carbone<br />

Center for Integrated Fungal Research (CIFR), North<br />

Carolina State University, Box 7567 - Partners II Building,<br />

Raleigh, NC 27695-7567, U.S.A.<br />

The rapidly expanding field <strong>of</strong> bioinformatics is providing<br />

researchers with many tools and techniques for building,<br />

updating, and accessing biological data. With the<br />

exponentially increasing amounts <strong>of</strong> data from SNPs, gene<br />

expression pr<strong>of</strong>iling, proteomics, clinical and<br />

epidemiological studies, the focus is now on developing the<br />

conceptual and practical tools for understanding and<br />

exploring biological data to its fullest potential. One <strong>of</strong> the<br />

biggest challenges facing researchers is the move away<br />

from studying one gene or one molecular data set at a time<br />

to looking at multiple genes or multiple genetic and<br />

phenotypic data sets simultaneously, in a holistic fashion.<br />

The integration <strong>of</strong> multiple molecular and phenotypic data<br />

sets is accelerating the pace <strong>of</strong> biological discoveries and<br />

our overall understanding <strong>of</strong> biological systems.<br />

Computational methods are being developed to allow<br />

researchers to make the critical link between genotype and<br />

phenotype and in the process distinguish between<br />

associated and causative genetic variation. Evolutionary<br />

theory is at the core <strong>of</strong> these computational algorithms and<br />

is providing the conceptual bridge between bioinformatics<br />

and biological inference.<br />

418 - The utility <strong>of</strong> haplotypes in evolutionary analysis<br />

A.G. Clark<br />

Penn State University, Dpet Biology/University Park, PA,<br />

U.S.A. - E-mail: c92@psu.edu<br />

Genetic variation in natural populations is organized on<br />

chromosomes in linked sets that <strong>of</strong>ten exhibit some<br />

correlated structure or linkage disequilibrium. When<br />

considering sets <strong>of</strong> adjacent polymorphic sites, it is <strong>of</strong>ten <strong>of</strong><br />

<strong>Book</strong> <strong>of</strong> <strong>Abstracts</strong> 129

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