Climate change effects on Black Sigatoka disease of banana

Philosophical Transactions of the Royal Society B: Biological Sciences

Volumn 374, Issue 1775, 2019, Pages

  Bebber, Daniel P ^a  

^a UNIVERSITY OF EXETER   (United Kingdom)

Author keywords

Black Leaf Streak Disease; Epidemiology; Invasive species; Musa; Mycosphaerella fijiensis; Pseudocercospora fijiensis

Indexed keywords

CLIMATE CHANGE; DATA SET; EPIDEMIC; EPIDEMIOLOGY; FRUIT; FUNGAL DISEASE; FUNGUS; INFECTIOUS DISEASE; INVASIVE SPECIES; PEST OUTBREAK; SPORE;

ASIA; LATIN AMERICA;

ANIMALIA; MUSA; MYCOSPHAERELLA FIJIENSIS; PSEUDOCERCOSPORA;

ASCOMYCETES; ASIA; CLIMATE CHANGE; MICROBIOLOGY; MUSA; PHYSIOLOGY; PLANT DISEASE; STATISTICAL MODEL; TEMPERATURE;

ASCOMYCOTA; ASIA; CLIMATE CHANGE; MODELS, STATISTICAL; MUSA; PLANT DISEASES; TEMPERATURE;

EID: 85065446307     PISSN: 09628436     EISSN: 14712970     Source Type: Journal    
DOI: 10.1098/rstb.2018.0269     Document Type: Article

References (53)

1. IPCC. 2013 Climate change 2013: the physical science basis. Contribution of working group I to the fifth assessment report of the intergovernmental panel on climate change. Cambridge, UK: Cambridge University Press.
2. Parmesan C, Yohe G. 2003 A globally coherent fingerprint of climate change impacts across natural systems. Nature 421, 37-42. (doi:10.1038/ nature01286)
3. Bebber DP. 2015 Range-expanding pests and pathogens in a warming world. Annu. Rev. Phytopathol. 53, 335-356. (doi:10.1146/annurev-phyto-080614-120207)
4. Garrett KA, Dendy SP, Frank EE, Rouse MN, Travers SE. 2006 Climate change effects on plant disease: genomes to ecosystems. Annu. Rev. Phytopathol. 44, 489-509. (doi:10.1146/annurev.phyto.44. 070505.143420)
5. Wu X, Lu Y, Zhou S, Chen L, Xu B. 2016 Impact of climate change on human infectious diseases: empirical evidence and human adaptation. Environ. Int. 86, 14-23. (doi:10.1016/j.envint. 2015.09.007)
6. Fuller T, Bensch S, Müller I, Novembre J, Pérez-Tris J, Ricklefs RE, Smith TB, Waldenström J. 2012 The ecology of emerging infectious diseases in migratory birds: an assessment of the role of climate change and priorities for future research. EcoHealth 9, 80-88. (doi:10.1007/s10393-012-0750-1)
7. McMichael AJ, Woodruff RE, Hales S. 2006 Climate change and human health: present and future risks. The Lancet 367, 859-869. (doi:10.1016/S0140-6736(06)68079-3)
8. Bebber DP, Holmes T, Gurr SJ. 2014 The global spread of crop pests and pathogens. Glob. Ecol. Biogeogr. 23, 1398-1407. (doi:10.1111/geb.12214)
9. Bebber DP, Ramotowski MAT, Gurr SJ. 2013 Crop pests and pathogens move polewards in a warming world. Nat. Clim. Change 3, 985-988. (doi:10.1038/ nclimate1990)
10. Burrows MT et al. 2011 The pace of shifting climate in marine and terrestrial ecosystems. Science 334, 652-655. (doi:10.1126/science.1210288)
11. Flood J. 2010 The importance of plant health to food security. Food Secur. 2, 215-231. (doi:10. 1007/s12571-010-0072-5)
12. FAO. 2016 FAOSTAT. Rome, Italy: Food and Agriculture Organization of the United Nations. See http://faostat3.fao.org/.
13. Ordonez N, Seidl MF, Waalwijk C, Drenth A, Kilian A, Thomma BPHJ, Ploetz RC, Kema GHJ. 2015 Worse comes to worst: bananas and panama disease-when plant and pathogen clones meet. PLoS Pathog. 11, e1005197. (doi:10.1371/journal.ppat.1005197)
14. Churchill ACL. 2011 Mycosphaerella fijiensis, the black leaf streak pathogen of banana: progress towards understanding pathogen biology and detection, disease development, and the challenges of control. Mol. Plant Pathol. 12, 307-328. (doi:10. 1111/j.1364-3703.2010.00672.x)
15. Busogoro JP, Etame JJ, Lognay G, Messiaen J, van Cutsem P, Lepoivre P. 2004 Analysis of the mechanisms of action of Mycosphaerella fijiensis toxins during the development of Black leaf streak disease. In Banana improvement: cellular, molecular biology, and induced mutations (eds SM Jain, R Swennen). Enfield, NH: Science Publishers.
16. Hulme PE. 2009 Trade, transport and trouble: managing invasive species pathways in an era of globalization. J. Appl. Ecol. 46, 10-18. (doi:10. 1111/j.1365-2664.2008.01600.x)
17. Brown JKM, Hovmøller MS. 2002 Aerial dispersal of pathogens on the global and continental scales and its impact on plant disease. Science 297, 537-541. (doi:10.1126/science.1072678)
18. Bregaglio S, Donatelli M, Confalonieri R. 2013 Fungal infections of rice, wheat, and grape in Europe in 2030-2050. Agron. Sustain. Dev. 33, 767-776. (doi:10.1007/s13593-013-0149-6)
19. Launay M, Caubel J, Bourgeois G, Huard F, Garcia de Cortazar-Atauri I, Bancal M-O, Brisson N. 2014 Climatic indicators for crop infection risk: application to climate change impacts on five major foliar fungal diseases in Northern France. Agric. Ecosyst. Environ. 197, 147-158. (doi:10.1016/j.agee.2014. 07.020)
20. Bergot M, Cloppet E, Pérarnaud V, Déqué M, Marçais B, Desprez-Loustau M. 2004 Simulation of potential range expansion of oak disease caused by Phytophthora cinnamomi under climate change. Glob. Change Biol. 10, 1539-1552. (doi:10.1111/j. 1365-2486.2004.00824.x)
21. Sparks AH, Forbes GA, Hijmans RJ, Garrett KA. 2014 Climate change may have limited effect on global risk of potato late blight. Glob. Change Biol. 20, 3621-3631. (doi:10.1111/gcb.12587)
22. Marín DH, Romero RA, Guzmán M, Sutton TB. 2003 Black Sigatoka: an increasing threat to banana cultivation. Plant Dis. 87, 208-222. (doi:10.1094/ PDIS.2003.87.3.208)
23. Rieux A, Soubeyrand S, Bonnot F, Klein EK, Ngando JE, Mehl A, Ravigne V, Carlier J, De LDB. 2014 Long-distance wind-dispersal of spores in a fungal plant pathogen: estimation of anisotropic dispersal kernels from an extensive field experiment. PLoS ONE 9, e0103225. (doi:10.1371/ journal.pone.0103225)
24. Uchôa CN, Pozza EA, Albuquerque KS, Moraes WS. 2012 Relação entre a temperatura e o molhamento foliar no monocíclo da Sigatoka-negra. Summa Phytopathol. 38, 144-147. (doi:10.1590/S0100-54052012000200006)
25. Uchôa CN. 2010 Estudos epidemiológicos e diagnose molecular da Sigatoka-Negra. PhD, Universidade Federal de Lavras, Lavras, Brazil.
26. Bebber DP, Castillo ÁD, Gurr SJ. 2016 Modelling coffee leaf rust risk in Colombia with climate reanalysis data. Philos. Trans. R. Soc. B 371, 20150458. (doi:10.1098/rstb.2015.0458)
27. d. J. Appl. Probab. 29, 885-895. (doi:10.2307/3214721)
28. Lewis CM et al. 2018 Potential for re-emergence of wheat stem rust in the United Kingdom. Commun. Biol. 1, 13. (doi:10.1038/s42003-018-0013-y)
29. Kobayashi S et al. 2015 The JRA-55 reanalysis: general specifications and basic characteristics. J. Meteorol. Soc. Jpn. Ser II 93, 5-48. (doi:10.2151/jmsj.2015-001)
30. NCAR. 2018 NCAR's Research Data Archive. Natl. Cent. Atmospheric Res. See https://rda.ucar.edu/ (accessed on 13 August 2018).
31. You L, Wood-Sichra U, Fritz S, Guo Z, See L, Koo J. 2017 Spatial production allocation Model (SPAM) 2005 v3.2. Home Spat. Prod. Alloc. Model. See http://mapspam.info/ (accessed on 13 August 2018).
32. Ploetz RC. 2001 Black Sigatoka of banana. APSnet Feature Artic. (doi:10.1094/PHI-I-2001-0126-02)
33. Cordeiro ZJM, de Matos AP, de Oliveira e Silva S. 1998 Black Sigatoka confirmed in Brazil. Infomusa 7, 31.
34. Ioos R, Hubert J, Abadie C, Duféal D, Opdebeeck G, Iotti J. 2010 First report of Black Sigatoka disease in banana caused by Mycosphaerella fijiensis on Martinique Island. Plant Dis. 95, 359-359. (doi:10. 1094/PDIS-11-10-0850)
35. Robert S, Zapater MF, Carlier J, Abadie C, Ravigne V. 2015 Multiple introductions and admixture at the origin of the continental spread of the fungal banana pathogen Mycosphaerella fijiensis in Central America: a statistical test using approximate bayesian computation. Rev. Ecol. 70, 127-138.
36. Soberón J, Nakamura M. 2009 Niches and distributional areas: concepts, methods, and assumptions. Proc. Natl Acad. Sci. USA 106, 19 644-19 650. (doi:10.1073/pnas.0901637106)
37. Dormann CF et al. 2012 Correlation and process in species distribution models: bridging a dichotomy. J. Biogeogr. 39, 2119-2131. (doi:10.1111/j.1365-2699.2011.02659.x)
38. Magarey RD, Sutton TB, Thayer CL. 2005 A simple generic infection model for foliar fungal plant pathogens. Phytopathology 95, 92-100. (doi:10. 1094/PHYTO-95-0092)
39. Sutherst RW. 2014 Pest species distribution modelling: origins and lessons from history. Biol. Invasions 16, 239-256. (doi:10.1007/s10530-013-0523-y)
40. Bearchell SJ, Fraaije BA, Shaw MW, Fitt BDL. 2005 Wheat archive links long-term fungal pathogen population dynamics to air pollution. Proc. Natl Acad. Sci. USA 102, 5438-5442. (doi:10.1073/pnas. 0501596102)
41. Jacome LH, Schuh W, Stevenson RE. 1991 Effect of temperature and relative humidity on germination and germ tube development of Mycosphaerella fijiensis var. difformis. Phytopathology 81, 1480. (doi:10.1094/Phyto-81-1480)
42. Jacome LH, Schuh W. 1992 Effects of leaf wetness duration and temperature on development of Black Sigatoka disease on banana infected by Mycosphaerella fijiensis var. difformis. Phytopathology 82, 515. (doi:10.1094/Phyto-82-515)
43. Chuang TY. 1987 Predicting the rate of development of Black Sigatoka (Mycosphaerella fijiensis var. difformis) disease in Southern Taiwan. Phytopathology 77, 1542. (doi:10.1094/Phyto-77-1542)
44. Zhan J, McDonald BA. 2011 Thermal adaptation in the fungal pathogen Mycosphaerella graminicola. Mol. Ecol. 20, 1689-1701. (doi:10.1111/j.1365-294X.2011.05023.x)
45. Chen G, Iwasaki T, Qin H, Sha W. 2014 Evaluation of the warm-season diurnal variability over east Asia in recent reanalyses JRA-55, ERA-Interim, NCEP CFSR, and NASA MERRA. J. Clim. 27, 5517-5537. (doi:10. 1175/JCLI-D-14-00005.1)
46. Liang L, Gong P. 2017 Climate change and human infectious diseases: a synthesis of research findings from global and spatio-temporal perspectives. Environ. Int. 103, 99-108. (doi:10.1016/j.envint. 2017.03.011)
47. Monaghan AJ, Moore SM, Sampson KM, Beard CB, Eisen RJ. 2015 Climate change influences on the annual onset of Lyme disease in the United States. Ticks Tick-Borne Dis. 6, 615-622. (doi:10.1016/j. ttbdis.2015.05.005)
48. Ogden NH, Lindsay LR. 2016 Effects of climate and climate change on vectors and vector-borne diseases: ticks are different. Trends Parasitol.. 32, 646-656. (doi:10.1016/j.pt.2016.04.015)
49. Eikenberry SE, Gumel AB. 2018 Mathematical modeling of climate change and malaria transmission dynamics: a historical review. J. Math. Biol. 77, 857 - 933. (doi:10.1007/s00285-018-1229-7)
50. Mordecai EA et al. 2013 Optimal temperature for malaria transmission is dramatically lower than previously predicted. Ecol. Lett. 16, 22-30. (doi:10. 1111/ele.12015)
51. Yin X, Kropff MJ, McLaren G, Visperas RM. 1995 A nonlinear model for crop development as a function of temperature. Agric. For. Meteorol. 77, 1-16. (doi:10.1016/0168-1923(95)02236-Q)
52. Júnior J, De WC, Valadares Júnior R, Cecílio RA, Moraes WB, Vale FXR, Alves FR, Paul PA. 2008 Worldwide geographical distribution of Black Sigatoka for banana: predictions based on climate change models. Sci. Agric. 65, 40-53. (doi:10. 1590/S0103-90162008000700008)
53. Machovina B, Feeley KJ. 2013 Climate change driven shifts in the extent and location of areas suitable for export banana production. Ecol. Econ. 95, 83-95. (doi:10.1016/j.ecolecon.2013.08.004)