A metagenomic investigation of phytoplasma diversity in Australian vegetable growing regions

Author:

Rodrigues Jardim Bianca12ORCID,Gambley Cherie3,Tran-Nguyen Lucy T. T.4,Webster Craig5,Kehoe Monica5,Kinoti Wycliff M.1,Bond Samantha6,Davis Richard7,Jones Lynne7,Pathania Nandita8,Sharman Murray9,Chapman Toni10,Rodoni Brendan C.12,Constable Fiona E.12

Affiliation:

1. Agriculture Victoria Research, Department of Energy, Environment and Climate Action, AgriBio, Bundoora, Victoria, Australia

2. School of Applied Systems Biology, La Trobe University, Bundoora, Victoria, Australia

3. Horticulture and Forestry Science, Department of Agriculture and Fisheries Maroochy Research Facility, Nambour, Queensland, Australia

4. Plant Health Australia, Deakin, Australian Capital Territory, Australia

5. Diagnostic Laboratory Services, Department of Primary Industries and Regional Development, South Perth, Western Australia, Australia

6. Biosecurity and Animal Welfare, Department of Industry, Tourism and Trade, Darwin, Northern Territory, Australia

7. Northern Australia Quarantine Strategy, Department of Agriculture, Fisheries and Forestry, Canberra, Australian Capital Territory, 2601, Australia

8. Department of Agriculture and Fisheries, Mareeba, Queensland, Australia

9. Department of Agriculture and Fisheries, Ecosciences Precinct, Dutton Park, Queensland 4102, Australia

10. Biosecurity and Food Safety, New South Wales Department of Primary Industries, Elizabeth Macarthur Agricultural Institute (EMAI), Menangle, New South Wales, 2567, Australia

Abstract

In this study, metagenomic sequence data was used to investigate the phytoplasma taxonomic diversity in vegetable-growing regions across Australia. Metagenomic sequencing was performed on 195 phytoplasma-positive samples, originating either from historic collections (n=46) or during collection efforts between January 2015 and June 2022 (n=149). The sampled hosts were classified as crop (n=155), weed (n=24), ornamental (n=7), native plant (n=6), and insect (n=3) species. Most samples came from Queensland (n=78), followed by Western Australia (n=46), the Northern Territory (n=32), New South Wales (n=17), and Victoria (n=10). Of the 195 draft phytoplasma genomes, 178 met our genome criteria for comparison using an average nucleotide identity approach. Ten distinct phytoplasma species were identified and could be classified within the 16SrII, 16SrXII (PCR only), 16SrXXV, and 16SrXXXVIII phytoplasma groups, which have all previously been recorded in Australia. The most commonly detected phytoplasma taxa in this study were species and subspecies classified within the 16SrII group (n=153), followed by strains within the 16SrXXXVIII group (‘Ca. Phytoplasma stylosanthis’; n=6). Several geographic- and host-range expansions were reported, as well as mixed phytoplasma infections of 16SrII taxa and ‘Ca. Phytoplasma stylosanthis’. Additionally, six previously unrecorded 16SrII taxa were identified, including five putative subspecies of ‘Ca. Phytoplasma australasiaticum’ and a new putative 16SrII species. PCR and sequencing of the 16S rRNA gene was a suitable triage tool for preliminary phytoplasma detection. Metagenomic sequencing, however, allowed for higher-resolution identification of the phytoplasmas, including mixed infections, than was afforded by only direct Sanger sequencing of the 16S rRNA gene. Since the metagenomic approach theoretically obtains sequences of all organisms in a sample, this approach was useful to confirm the host family, genus, and/or species. In addition to improving our understanding of the phytoplasma species that affect crop production in Australia, the study also significantly expands the genomic sequence data available in public sequence repositories to contribute to phytoplasma molecular epidemiology studies, revision of taxonomy, and improved diagnostics.

Publisher

Microbiology Society

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