First report of Vialaea minutella in Australia, its association with mango branch dieback and systematic placement of Vialaea in the Xylariales

Vialaea minutella was consistently isolated from infected mango trees showing branch dieback symptoms in northern Queensland. The fungus was identified by morphology and confirmed with molecular sequence data. This is the first report of V. minutella in Australia. The systematic position of Vialaea was confirmed to be in the Xylariales based on reconstructed LSU sequence data.

First report of Pythiogeton ramosum (Pythiales) in Australia

In 2012, a project was initiated to assess if the soft rot disease of ginger in Australian fields was associated with pathogens other than Pythium myriotylum. Together with nine Pythium spp., ten isolates of a Pythium-like organism were also recovered from ginger with soft rot symptoms. These Pythium-like isolates were identified as Pythiogeton (Py.) ramosum based on its morphology and ITS sequences. In-vitro pathogenicity tests allowed confirmation of pathogenicity of Py. ramosum on excised carrot (Daucus carota), sweet potato (Ipomoea batatas) and potato (Solanum tubersum) tubers, although it was not pathogenic on excised ginger (Zingiber officinale) and radish (Raphanus sativus) rhizome/roots. In addition it was found to be pathogenic on bean (Phaseolus vulgaris), capsicum (Capsicum annuum) and cauliflower (Brassica oleracea var. botrytis) seedlings. This is the first record of Py. ramosum and its pathogenicity in Australia.

First report of Masseeëlla capparis in Australia

The rust fungus Masseeëlla capparis is reported for the first time in Australia on Flueggea virosa (Phyllanthaceae). This is the first species of Masseeëlla found in Australia. The rust is described and illustrated from Australian specimens. A discussion on species of Masseeëlla is provided. A reconstructed phylogeny with the Large Subunit region of ribosomal DNA indicated that Masseeëlla has an affinity with the Phakopsoraceae.

First report of Phoma multirostrata in Australia

Dark grey leaf lesions were observed on coriander (Coriandrum sativum) commercially grown at Wanneroo, Western Australia during November 2013. A species of Phoma was consistently isolated from leaf lesions. The pathogen was identified as Phoma multirostrata using morphological characteristics, DNA sequencing comparisons and pathogenicity testing. This is the first report of Phoma multirostrata causing leaf spot on coriander in Australia.

First report of Cotton leafroll dwarf virus in Thailand using a species-specific PCR validated with isolates from Brazil

Partial virus genome sequence with high nucleotide identity to Cotton leafroll dwarf virus (CLRDV) was identified from two cotton (Gossypium hirsutum) samples from Thailand displaying typical cotton leaf roll disease symptoms. We developed and validated a PCR assay for the detection of CLRDV isolates from Thailand and Brazil.

Investigation of an emerging bacterial disease in wild Queensland groper, marine fish and stingrays with production of diagnostic tools to reduce the spread of disease to other states of Australia : final report

This project describes how Streptococcus agalactiae can be transmitted experimentally in Queensland grouper. The implications of this research furthers the relatedness between Australian S. agalactiae strains from animals and humans. Additionally, this research has developed diagnostic tools for Australian State Veterinary Laboratories and Universities, which will assist in State and National aquatic animal disease detection, surveillance, disease monitoring and reporting

Physical Oceanographic Influences on Queensland Reef Fish and Scallops : Final Report FRDC 2013/020

The project examined coastal and physical oceanographic influences on the catch rates of coral trout (Plectropomus leopardus) and saucer scallops (Amusium balloti) in Queensland. The research was undertaken to explain variation observed in the catches, and to improve quantitative assessment of the stocks and management advice. 3.1 OBJECTIVES 1. Review recent advances in the study of physical oceanographic influences on fisheries catch data, and describe the major physical oceanographic features that are likely to influence Queensland reef fish and saucer scallops. 2. Collate Queensland’s physical oceanographic data and fisheries (i.e. reef fish and saucer scallops) data. 3. Develop stochastic population models for reef fish and saucer scallops, which can link physical oceanographic features (e.g. sea surface temperature anomalies) to catch rates, biological parameters (e.g. growth, reproduction, natural mortality) and ecological aspects (e.g. spatial distribution).