The infection biology of Fusarium graminearum: Defining the pathways of spikelet to spikelet colonisation in wheat ears

Brown, Neil Andrew; Urban, Martin; Meene, Allison M. L. van de; Hammond‐Kosack, K. E.

doi:10.1016/j.funbio.2010.04.006

Cited by 182 publications

(193 citation statements)

References 38 publications

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“…Only when the integrity of cellular structures of host plants was damaged by the fungi, the photosynthetic system was impaired. This interpretation reflects findings of [41] and [42]. With light and electron microscopy, these authors showed that the dominating fungal hyphae caused pronounced cellular changes (e.g., degeneration of cytoplasm, destruction of cell organelles, disintegration of cell walls and deposition of cell wall material at the walls of vascular elements of the diseased head) only 4 to 5 days after infection.…”

Section: The Timeframe Of Detectionsupporting

confidence: 72%

“…Early occurrence of senescence symptoms such as chlorophyll degradation and decreased kernel water content [42] indicates the dieback of individual spikelets, which can be readily established by spectral analysis. Spectral patterns of healthy and diseased wheat heads mainly differ in the VIS and short wave NIR range between 400 and 1000 nm.…”

Section: Wavelength Ranges For a Successful Discrimination Of Head Blmentioning

confidence: 99%

“…Hyperspectral imaging is only effective after infection symptoms, i.e., chlorophyll degradation, have become visible. Cytological analysis of the exact time-course of Fusarium infection on most recent winter wheat cultivars clearly stressed the importance of an early disease detection as major determinant for reasonable development and applications of new pesticides [42]. These chemical should be able to effectively function during initial phases of infection before any damage by spread of hyphae occur.…”

Section: Improvement Of Disease Recognition By Sensor Fusionmentioning

confidence: 99%

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Hyperspectral and Chlorophyll Fluorescence Imaging for Early Detection of Plant Diseases, with Special Reference to Fusarium spec. Infections on Wheat

2014

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Abstract:In recent years, market pressures have reinforced the demand to solve the problem of an increased occurrence of Fusarium head blight (FHB) in cereal production, especially in wheat. The symptoms of this disease are clearly detectable by means of image analysis. This technique can therefore be used to map occurrence and extent of Fusarium infections. From this perspective, a separate harvest in the field can be taken into consideration. Based on the application of chlorophyll fluorescence and hyperspectral imaging, characteristics, requirements and limitations of Fusarium detection on wheat, both in the field and in the laboratory, are discussed. While the modification of spectral signatures due to fungal infection allows its detection by hyperspectral imaging, the decreased physiological activity of tissues resulting from Fusarium impacts provides the base for CFI analyses. In addition, the two methods are compared in view of their usability for the detection of Fusarium, and different approaches for data analysis are presented.

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Section: The Timeframe Of Detectionsupporting

confidence: 72%

Section: Wavelength Ranges For a Successful Discrimination Of Head Blmentioning

confidence: 99%

Section: Improvement Of Disease Recognition By Sensor Fusionmentioning

confidence: 99%

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Hyperspectral and Chlorophyll Fluorescence Imaging for Early Detection of Plant Diseases, with Special Reference to Fusarium spec. Infections on Wheat

2014

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“…These findings were proved against hemibiotrophic pathogen F. graminearum. when there is no evidence of necrotrophy during early stages of infection (Brown et al 2010;Goswami and Kistler 2004), activation of SA signaling curtails F. graminearum infection and, during the later stages of interaction, JA-regulated defenses target the necrotrophic phase of the fungal life cycle.…”

Section: Salicylic Acid (Sa) Jasmonic Acid (Ja) and Ethylene (Et)mentioning

confidence: 99%

Plant defense response against Fusarium oxysporum and strategies to develop tolerant genotypes in banana

Swarupa

Ravishankar

Rekha

2014

Planta

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“…Phytophthora sojae is a hemibiotroph, and Py. irregulare and F. graminearum have been regarded both as necrotrophs and, in more recent discussions, as hemibiotrophs (Adie et al, 2007;Brown et al, 2010;Trail, 2009). One difference that has been used to characterize necrotrophs from hemibiotrophs is the formation of specialized feeding structures within the host cell.…”

mentioning

confidence: 99%

High‐Density Mapping of Resistance QTL Toward Phytophthora sojae, Pythium irregulare, and Fusarium graminearum in the Same Soybean Population

et al. 2016

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Phytophthora sojae Kaufm. and Gerd., Pythium irregulare Busiman, and Fusarium graminearum Schwabe [teleomorph: Gibberella zeae (Schwien.) Petch] are important pathogens of soybean [Glycine max (L.) Merr.] and are all capable of causing seed rot, damping‐off, and root rot. The objective of this study was to identify quantitative trait loci (QTL) for resistance to Py. irregulare and to refine previously mapped QTL for resistance to P. sojae and F. graminearum in a larger, more advanced ‘Conrad’ × ‘Sloan’ F9:11 recombinant inbred line population. The population was mapped with 1032 single nucleotide polymorphisms from the SoySNP6K BeadChip and 31 polymerase chain reaction–based molecular markers. Families were evaluated for resistance response to three isolates of P. sojae, one isolate of Py. irregulare, and one isolate of F. graminearum. A total of 10, 2, and 3 QTL and suggestive QTL were found that confer resistance to P. sojae, Py. irregulare, and F. graminearum, respectively. Individual QTL explained 2 to 13.6% of the phenotypic variance. Quantitative trait loci for resistance toward both Py. irregulare and F. graminearum colocalized on chromosome 19. This resistance was contributed by Sloan and was juxtaposed to a QTL for P. sojae with resistance contributed from Conrad. Alleles for resistance to different pathogens contributed from different parents in the same region; the number of unique QTL for each pathogen and the lack of correlation of resistance suggest that different mechanisms are involved in resistance toward P. sojae, Py. irregulare, and F. graminearum.

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The infection biology of Fusarium graminearum: Defining the pathways of spikelet to spikelet colonisation in wheat ears

Cited by 182 publications

References 38 publications

Hyperspectral and Chlorophyll Fluorescence Imaging for Early Detection of Plant Diseases, with Special Reference to Fusarium spec. Infections on Wheat

Hyperspectral and Chlorophyll Fluorescence Imaging for Early Detection of Plant Diseases, with Special Reference to Fusarium spec. Infections on Wheat

Plant defense response against Fusarium oxysporum and strategies to develop tolerant genotypes in banana

High‐Density Mapping of Resistance QTL Toward Phytophthora sojae, Pythium irregulare, and Fusarium graminearum in the Same Soybean Population

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