Literature DB >> 21062110

Networks in plant epidemiology: from genes to landscapes, countries, and continents.

Mathieu Moslonka-Lefebvre1, Ann Finley, Ilaria Dorigatti, Katharina Dehnen-Schmutz, Tom Harwood, Michael J Jeger, Xiangming Xu, Ottmar Holdenrieder, Marco Pautasso.   

Abstract

There is increasing use of networks in ecology and epidemiology, but still relatively little application in phytopathology. Networks are sets of elements (nodes) connected in various ways by links (edges). Network analysis aims to understand system dynamics and outcomes in relation to network characteristics. Many existing natural, social, and technological networks have been shown to have small-world (local connectivity with short-cuts) and scale-free (presence of super-connected nodes) properties. In this review, we discuss how network concepts can be applied in plant pathology from the molecular to the landscape and global level. Wherever disease spread occurs not just because of passive/natural dispersion but also due to artificial movements, it makes sense to superimpose realistic models of the trade in plants on spatially explicit models of epidemic development. We provide an example of an emerging pathosystem (Phytophthora ramorum) where a theoretical network approach has proven particularly fruitful in analyzing the spread of disease in the UK plant trade. These studies can help in assessing the future threat posed by similar emerging pathogens. Networks have much potential in plant epidemiology and should become part of the standard curriculum.

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Mesh:

Year:  2011        PMID: 21062110     DOI: 10.1094/PHYTO-07-10-0192

Source DB:  PubMed          Journal:  Phytopathology        ISSN: 0031-949X            Impact factor:   4.025


  9 in total

Review 1.  Forest health in a changing world.

Authors:  Marco Pautasso; Markus Schlegel; Ottmar Holdenrieder
Journal:  Microb Ecol       Date:  2014-12-13       Impact factor: 4.552

Review 2.  Emerging oomycete threats to plants and animals.

Authors:  Lida Derevnina; Benjamin Petre; Ronny Kellner; Yasin F Dagdas; Mohammad Nasif Sarowar; Artemis Giannakopoulou; Juan Carlos De la Concepcion; Angela Chaparro-Garcia; Helen G Pennington; Pieter van West; Sophien Kamoun
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2016-12-05       Impact factor: 6.237

3.  Identifying highly connected counties compensates for resource limitations when evaluating national spread of an invasive pathogen.

Authors:  Sweta Sutrave; Caterina Scoglio; Scott A Isard; J M Shawn Hutchinson; Karen A Garrett
Journal:  PLoS One       Date:  2012-06-12       Impact factor: 3.240

4.  Network epidemiology and plant trade networks.

Authors:  Marco Pautasso; Mike J Jeger
Journal:  AoB Plants       Date:  2014-04-29       Impact factor: 3.276

5.  Modeling Epidemics in Seed Systems and Landscapes To Guide Management Strategies: The Case of Sweet Potato in Northern Uganda.

Authors:  K F Andersen; C E Buddenhagen; P Rachkara; R Gibson; S Kalule; D Phillips; K A Garrett
Journal:  Phytopathology       Date:  2019-08-13       Impact factor: 4.025

6.  The phytosanitary risks posed by seeds for sowing trade networks.

Authors:  Christopher E Buddenhagen; Jesse M Rubenstein; John G Hampton; M Philip Rolston
Journal:  PLoS One       Date:  2021-11-30       Impact factor: 3.240

7.  Using a network model to assess risk of forest pest spread via recreational travel.

Authors:  Frank H Koch; Denys Yemshanov; Robert A Haack; Roger D Magarey
Journal:  PLoS One       Date:  2014-07-09       Impact factor: 3.240

Review 8.  Small-World Brain Networks Revisited.

Authors:  Danielle S Bassett; Edward T Bullmore
Journal:  Neuroscientist       Date:  2016-09-21       Impact factor: 7.519

9.  Using DNA barcoding to improve invasive pest identification at U.S. ports-of-entry.

Authors:  Mary J L Madden; Robert G Young; John W Brown; Scott E Miller; Andrew J Frewin; Robert H Hanner
Journal:  PLoS One       Date:  2019-09-17       Impact factor: 3.240

  9 in total

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