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Abstract
Australia has over 30 Panicum spp. (panic grass) including several non-native species that cause crop and pasture loss and hepatogenous photosensitisation in livestock. It is critical to correctly identify them at the species level to facilitate the development of appropriate management strategies for efficacious control of Panicum grasses in crops, fallows and pastures. Currently, identification of Panicum spp. relies on morphological examination of the reproductive structures, but this approach is only useful for flowering specimens and requires significant taxonomic expertise. To overcome this limitation, we used multi-locus DNA barcoding for the identification of ten selected Panicum spp. found in Australia. With the exception of P. buncei, other native Australian Panicum were genetically separated at the species level and distinguished from non-native species. One nuclear (ITS) and two chloroplast regions (matK and trnL intron-trnF) were identified with varying facility for DNA barcode separation of the Panicum species. Concatenation of sequences from ITS, matK and trnL intron-trnF regions provided clear separation of eight regionally collected species, with a maximum intraspecific distance of 0.22% and minimum interspecific distance of 0.33%. Two of three non-native Panicum species exhibited a smaller genome size compared to native species evaluated, and we speculate that this may be associated with biological advantages impacting invasion of non-native Panicum species in novel locations. We conclude that multi-locus DNA barcoding, in combination with traditional taxonomic identification, provides an accurate and cost-effective adjunctive tool for further distinguishing Panicum spp. at the species level.
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1 Charles Sturt University, School of Agricultural, Environmental and Veterinary Sciences, Wagga Wagga, Australia (GRID:grid.1037.5) (ISNI:0000 0004 0368 0777); Charles Sturt University and NSW Department of Primary Industries, Graham Centre for Agricultural Innovation, Wagga Wagga, Australia (GRID:grid.1680.f) (ISNI:0000 0004 0559 5189); The University of Melbourne, Melbourne Veterinary School, Werribee, Australia (GRID:grid.1008.9) (ISNI:0000 0001 2179 088X)
2 Charles Sturt University and NSW Department of Primary Industries, Graham Centre for Agricultural Innovation, Wagga Wagga, Australia (GRID:grid.1680.f) (ISNI:0000 0004 0559 5189); NSW Department of Primary Industries, Wagga Wagga Agricultural Institute, Wagga Wagga, Australia (GRID:grid.1680.f) (ISNI:0000 0004 0559 5189)
3 Charles Sturt University, School of Agricultural, Environmental and Veterinary Sciences, Wagga Wagga, Australia (GRID:grid.1037.5) (ISNI:0000 0004 0368 0777); The University of Melbourne, Melbourne Veterinary School, Werribee, Australia (GRID:grid.1008.9) (ISNI:0000 0001 2179 088X)
4 Charles Sturt University, School of Agricultural, Environmental and Veterinary Sciences, Wagga Wagga, Australia (GRID:grid.1037.5) (ISNI:0000 0004 0368 0777); Charles Sturt University and NSW Department of Primary Industries, Graham Centre for Agricultural Innovation, Wagga Wagga, Australia (GRID:grid.1680.f) (ISNI:0000 0004 0559 5189)
5 Centre for Australian National Biodiversity Research (a Joint Venture Between Parks Australia and CSIRO), Australian National Herbarium, Canberra, Australian Capital Territory, Australia (GRID:grid.467784.e) (ISNI:0000 0001 2231 5722)