Literature DB >> 27596590

Current and projected global distribution of Phytophthora cinnamomi, one of the world's worst plant pathogens.

Treena I Burgess1, John K Scott2,3, Keith L Mcdougall4, Michael J C Stukely5, Colin Crane5, William A Dunstan1, Frances Brigg6, Vera Andjic1, Diane White1, Tim Rudman7, Frans Arentz8, Noboru Ota9, Giles E St J Hardy1.   

Abstract

Globally, Phytophthora cinnamomi is listed as one of the 100 worst invasive alien species and active management is required to reduce impact and prevent spread in both horticulture and natural ecosystems. Conversely, there are regions thought to be suitable for the pathogen where no disease is observed. We developed a climex model for the global distribution of P. cinnamomi based on the pathogen's response to temperature and moisture and by incorporating extensive empirical evidence on the presence and absence of the pathogen. The climex model captured areas of climatic suitability where P. cinnamomi occurs that is congruent with all available records. The model was validated by the collection of soil samples from asymptomatic vegetation in areas projected to be suitable by the model for which there were few records. DNA was extracted, and the presence or absence of P. cinnamomi was determined by high-throughput sequencing (HTS). While not detected using traditional isolation methods, HTS detected P. cinnamomi at higher elevations in eastern Australia and central Tasmania as projected by the climex model. Further support for the climex model was obtained using the large data set from south-west Australia where the proportion of positive records in an area is related to the Ecoclimatic Index value for the same area. We provide for the first time a comprehensive global map of the current P. cinnamomi distribution, an improved climex model of the distribution, and a projection to 2080 of the distribution with predicted climate change. This information provides the basis for more detailed regional-scale modelling and supports risk assessment for governments to plan management of this important soil-borne plant pathogen.
© 2016 John Wiley & Sons Ltd.

Entities:  

Keywords:  climate change; high-throughput sequencing; natural ecosystem; plant disease; soil pH

Mesh:

Year:  2016        PMID: 27596590     DOI: 10.1111/gcb.13492

Source DB:  PubMed          Journal:  Glob Chang Biol        ISSN: 1354-1013            Impact factor:   10.863


  19 in total

1.  Evolutionary trait-based approaches for predicting future global impacts of plant pathogens in the genus Phytophthora.

Authors:  Louise J Barwell; Ana Perez-Sierra; Beatrice Henricot; Anna Harris; Treena I Burgess; Giles Hardy; Peter Scott; Nari Williams; David E L Cooke; Sarah Green; Daniel S Chapman; Bethan V Purse
Journal:  J Appl Ecol       Date:  2020-12-23       Impact factor: 6.528

2.  DNA Metabarcoding and Isolation by Baiting Complement Each Other in Revealing Phytophthora Diversity in Anthropized and Natural Ecosystems.

Authors:  Federico La Spada; Peter J A Cock; Eva Randall; Antonella Pane; David E L Cooke; Santa Olga Cacciola
Journal:  J Fungi (Basel)       Date:  2022-03-22

Review 3.  Tree invasions and biosecurity: eco-evolutionary dynamics of hitchhiking fungi.

Authors:  Treena I Burgess; Casparus J Crous; Bernard Slippers; Jarkko Hantula; Michael J Wingfield
Journal:  AoB Plants       Date:  2017-01-02       Impact factor: 3.276

4.  Aerial Mapping of Forests Affected by Pathogens Using UAVs, Hyperspectral Sensors, and Artificial Intelligence.

Authors:  Juan Sandino; Geoff Pegg; Felipe Gonzalez; Grant Smith
Journal:  Sensors (Basel)       Date:  2018-03-22       Impact factor: 3.576

Review 5.  Lags in the response of mountain plant communities to climate change.

Authors:  Jake M Alexander; Loïc Chalmandrier; Jonathan Lenoir; Treena I Burgess; Franz Essl; Sylvia Haider; Christoph Kueffer; Keith McDougall; Ann Milbau; Martin A Nuñez; Aníbal Pauchard; Wolfgang Rabitsch; Lisa J Rew; Nathan J Sanders; Loïc Pellissier
Journal:  Glob Chang Biol       Date:  2017-11-27       Impact factor: 10.863

6.  Unravelling hybridization in Phytophthora using phylogenomics and genome size estimation.

Authors:  Kris Van Poucke; Annelies Haegeman; Thomas Goedefroit; Fran Focquet; Leen Leus; Marília Horta Jung; Corina Nave; Miguel Angel Redondo; Claude Husson; Kaloyan Kostov; Aneta Lyubenova; Petya Christova; Anne Chandelier; Slavcho Slavov; Arthur de Cock; Peter Bonants; Sabine Werres; Jonàs Oliva Palau; Benoit Marçais; Thomas Jung; Jan Stenlid; Tom Ruttink; Kurt Heungens
Journal:  IMA Fungus       Date:  2021-07-01       Impact factor: 3.515

7.  New microsatellite markers for population studies of Phytophthora cinnamomi, an important global pathogen.

Authors:  J Engelbrecht; T A Duong; N V D Berg
Journal:  Sci Rep       Date:  2017-12-15       Impact factor: 4.379

8.  High-Throughput Chemical Screening Identifies Compounds that Inhibit Different Stages of the Phytophthora agathidicida and Phytophthora cinnamomi Life Cycles.

Authors:  Scott A Lawrence; Charlotte B Armstrong; Wayne M Patrick; Monica L Gerth
Journal:  Front Microbiol       Date:  2017-07-19       Impact factor: 5.640

9.  Topographic effects on dispersal patterns of Phytophthora cinnamomi at a stand scale in a Spanish heathland.

Authors:  Enrique Cardillo; Angel Acedo; Enrique Abad
Journal:  PLoS One       Date:  2018-03-30       Impact factor: 3.240

10.  Contrasting distribution patterns between aquatic and terrestrial Phytophthora species along a climatic gradient are linked to functional traits.

Authors:  Miguel A Redondo; Johanna Boberg; Jan Stenlid; Jonàs Oliva
Journal:  ISME J       Date:  2018-08-02       Impact factor: 10.302

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.