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Book of Abstracts (PDF) - International Mycological Association

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IMC7 Friday August 16th Lectures<br />

367 - Selfish genes, sex and adaptation in yeast<br />

M.R. Goddard<br />

Centre for Population Biology, Imperial College at<br />

Silwood Park, Ascot, U.K. - E-mail: m.goddard@ic.ac.uk<br />

Most biologists agree that evolution occurs because those<br />

members <strong>of</strong> a population best adapted to the current<br />

environment will flourish at the expense <strong>of</strong> those less well<br />

adapted. But what makes certain members <strong>of</strong> a population<br />

better adapted? What is the link between genotype and<br />

phenotype? How does this adaptation arise? The short<br />

answer is by chance, random genetic mutations or novel<br />

gene combinations will confer a greater fitness. But what<br />

sort <strong>of</strong> mutations (e.g. duplications/point mutations), how<br />

many mutations, does one mutation always win out or are<br />

there many equally good solutions to a problem? I will<br />

describe an experiment with asexual yeast which looks at<br />

some <strong>of</strong> the mechanisms <strong>of</strong> adaptation to a saline<br />

environment. The vast majority <strong>of</strong> organisms are sexual to<br />

some degree, so how does sex affect adaptation? I will<br />

describe a second experiment which tests the function <strong>of</strong><br />

sex - does it, as originally suggested, allow adaptation to<br />

occur more rapidly? Lastly, even though sex has presumed<br />

advantages, I will discuss some <strong>of</strong> the more unfortunate<br />

consequences <strong>of</strong> sex - namely how it allows selfish or<br />

parasitic genes to prosper.<br />

368 - Mutation and selection in the yeast Saccharomyces<br />

cerevisiae<br />

R. Korona<br />

Institute <strong>of</strong> Environmental Biology, Jagiellonian<br />

University, Gronostajowa 3, 30-387 Krakow, Poland. - Email:<br />

korona@eko.uj.edu.pl<br />

Fitness <strong>of</strong> organisms is to a large extent determined by<br />

quantitative traits, such as growth rate. The study <strong>of</strong><br />

mutation affecting such traits is impeded by the fact that<br />

individual alleles <strong>of</strong>ten cause small and recessive effects.<br />

Fungal experimental systems, such as laboratory<br />

populations <strong>of</strong> baker's yeast, provide unparalleled<br />

opportunities for detection <strong>of</strong> new alleles. One reason is<br />

that mutations can be studied both in haploids and diploids,<br />

the other is the ease <strong>of</strong> propagation and growth rate assays.<br />

We screened for mutations that appeared in diploids and<br />

therefore were initially masked by wild-types but then,<br />

after tetrad dissection analysis, were revealed as growth<br />

defective haploids. We found that a deleterious or lethal<br />

mutation occurs spontaneously at a rate <strong>of</strong> about one per<br />

thousand <strong>of</strong> diploid genome replications. This seemingly<br />

slow pace <strong>of</strong> mutation rate in unicellular organisms with<br />

small genomes becomes substantial when extrapolated for<br />

species that have several times larger genomes and many<br />

cell replications per sexual generation. The collected<br />

mutations were subsequently assayed for their dominance<br />

and epistatic interactions (the latter only for non-lethals).<br />

Heterozygous effects <strong>of</strong> lethals and non-lethals were very<br />

116<br />

<strong>Book</strong> <strong>of</strong> <strong>Abstracts</strong><br />

small and equal on average which means that the former<br />

were much better masked. Non-lethal mutations in<br />

heterozygous loci interacted mostly multiplicatively<br />

suggesting that neither their synergism nor antagonism<br />

were strong.<br />

369 - Evolution <strong>of</strong> azole resistance in yeasts: Genetics<br />

and genomics<br />

L.E. Cowen * , L.M. Kohn & J.B. Anderson<br />

Department <strong>of</strong> Botany, University <strong>of</strong> Toronto, 3359<br />

Mississauga Road North, Mississauga, Ontario, L5L 1C6,<br />

Canada. - E-mail: lcowen@utm.utoronto.ca<br />

We established twelve replicate experimental populations<br />

<strong>of</strong> Candida albicans to study the dynamics and<br />

mechanisms <strong>of</strong> adaptation to the azole antifungal agents.<br />

The experimental populations were founded from a single<br />

drug-sensitive cell; six populations were evolved with<br />

inhibitory concentrations <strong>of</strong> fluconazole and six were<br />

evolved without drug, over 330 generations. While all<br />

populations evolved with fluconazole adapted to the<br />

presence <strong>of</strong> drug, they followed strikingly different<br />

trajectories. The experimental populations also diverged in<br />

fitness. We measured changes in genome-wide gene<br />

expression that became entrenched during adaptation and<br />

persisted in the absence <strong>of</strong> drug using DNA microarrays.<br />

Cluster analysis <strong>of</strong> the 301 genes with significantly<br />

modulated expression identified three patterns <strong>of</strong><br />

adaptation to drug. One pattern was unique to one<br />

population and included upregulation <strong>of</strong> the ABC<br />

transporter gene, CDR2. A second pattern occurred at a late<br />

stage <strong>of</strong> adaptation in three populations; for two <strong>of</strong> these<br />

populations pr<strong>of</strong>iled earlier in their evolution, a different<br />

pattern was observed at an early stage <strong>of</strong> adaptation. The<br />

succession <strong>of</strong> early- and late-stage patterns <strong>of</strong> gene<br />

expression, both <strong>of</strong> which include upregulation <strong>of</strong> the<br />

major facilitator gene, MDR1, must represent a common<br />

program <strong>of</strong> adaptation to this antifungal drug. We compare<br />

these results with the dynamics and mechanisms <strong>of</strong> evolved<br />

fluconazole resistance in experimental populations <strong>of</strong><br />

Saccharomyces cerevisiae.<br />

370 - Predicting the evolutionary potential <strong>of</strong> plant<br />

pathogenic fungi: a model framework<br />

B.A. McDonald * & C.C. Linde<br />

Institute <strong>of</strong> Plant Science, ETH Zurich, Universitatstrasse<br />

2, Zurich CH-8049, Switzerland. - E-mail:<br />

bruce.mcdonald@ipw.agrl.ethz.ch<br />

Plant pathogenic fungi are notorious for evolving rapidly in<br />

agroecosystems. Hence they <strong>of</strong>fer good models for studies<br />

in experimental population genetics and evolution.<br />

Interactions among five population genetic forces<br />

(mutation, migration, selection, drift, recombination)<br />

ultimately affect the evolutionary potential <strong>of</strong> fungal

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