Biodiversity of Australian smut fungi.

There are about 250 species of smut fungi known from Australia of which 95 are endemic. Fourteen of these endemic species were first collected in the period culminating with the publication of Daniel McAlpine's revision of Australian smut fungi in 1910. Of the 68 species treated by McAlpine, 10 were considered to be endemic to Australia at that time. Only 23 of the species treated by McAlpine have names that are currently accepted . During the following eighty years until 1990, a further 31 endemic species were collected and just 11 of these were named and described in that period. Since 1990, 50 further species of endemic smut fungi have been collected and named in Australia . There are 115 species that are restricted to either Australia or to Australia and the neighbouring countries of Indonesia, New Zealand, Papua New Guinea and the Philippines . These 115 endemic species occur in 24 genera, namely Anthracoidea (1 species), Bauerago (1), Cintractia (3), Dermatosorus (1), Entyloma (3), Farysporium (1), Fulvisporium (1), Heterotolyposporium (1), Lundquistia (1), Macalpinomyces (4), Microbotryum (2), Moreaua (20), Pseudotracya (1), Restiosporium (5), Sporisorium (26), Thecaphora (2), Tilletia (12), Tolyposporella (1), Tranzscheliella (1), Urocystis (2), Ustanciosporium (1), Ustilago (22), Websdanea (1) and Yelsemia (2). About a half of these local and regional endemic species occur on grasses and a quarter on sedges . The northern tropical savannah region of Australia offers most promise for the discovery of new endemic species . The agricultural, quarantine and environmental significance to Australia of some introduced species is discussed.

Characterization of 26 new microsatellite loci in the dugong (Dugong dugon)

Twenty-six microsatellite loci have been isolated from a dugong (Dugong dugon). The average heterozygosity was 0.52 with two to 10 alleles per locus surveyed from 50 individuals. The markers are suitable for genetic mark-recapture (PID = 5 × 10-16) in dugongs and they could also be used to quantify physical tag loss, estimate relatedness, assign paternity, elucidate population structure and identify migrants.