Population Dynamics Between <i>Fusarium pseudograminearum</i> and <i>Bipolaris sorokiniana</i> in Wheat Stems Using Real-Time qPCR

Moya-Elizondo, Ernesto A.; Jacobsen, Barry J.; Hogg, Andrew C.; Dyer, Alan T.

doi:10.1094/pdis-11-10-0794

Cited by 15 publications

(16 citation statements)

References 47 publications

(23 reference statements)

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“…Quantitative PCR is increasingly being used as a tool to investigate plant diseases, including those caused by soilborne Fusarium species (Nicholson et al 1998;Waalwijk et al 2004;Strausbaugh et al 2005;Hogg et al 2007;Evans et al 2010;Moya-Elizondo et al 2011;Knight et al 2012). The ability of qPCR to accurately measure levels of fungal biomass has important implications for evaluating traditional disease rating methods, detecting disease tolerance and assessing disease progress over the life of a plant.…”

Section: Discussionmentioning

confidence: 99%

Culm discolouration as an indicator of Fusarium pseudograminearum biomass

Knight

Sutherland

2015

Australasian Plant Pathol.

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Disease severity of crown rot (Fusarium pseudograminearum) in winter cereal culms is typically assessed at harvest maturity by recording incidence of infection, whitehead production and discolouration of basal internodes. This study has investigated the relationship between the proportion of discolouration of individual internodes and the extent of host tissue colonisation by the pathogen, based on species-specific quantitative PCR (qPCR). Field-grown p l ots w er e u se d t o c om pa re vis ua l ra tin gs an d F. pseudograminearum DNA content of eight cereal genotypes (six hard white spring wheats, one durum wheat and one barley) at 16 and 22 weeks after planting (WAP) in 2009 and 2013. At 16 WAP (post anthesis -early milk development) strong correlations were present between visual discolouration and fungal DNA content per unit of tissue weight for internodes one, two and three in 2009 and 2013. At 22 WAP (harvest maturity) these relationships were only significant for internode two in 2009 and internode three in the 2013 trial. Differences in both visual symptoms and fungal DNA content between the genotypes occurred at both sample times, but the most significant distinction between genotypes was at 16 WAP. We conclude that visible discolouration of cereal culms is a useful indicator of fungal biomass in culm tissue, as estimated by qPCR. Furthermore, assessment of diseased culms at 16 WAP provides a stronger correlation with fungal colonisation and discriminates more clearly between disease reactions in different host genotypes, in comparison to assessment at harvest maturity.

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Section: Discussionmentioning

confidence: 99%

Culm discolouration as an indicator of Fusarium pseudograminearum biomass

Knight

Sutherland

2015

Australasian Plant Pathol.

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“…A recent meta-analysis suggests that these interactions are probably much more prevalent than previously appreciated (Stephens et al 2013). Reported pathogen-on-pathogen antagonisms encompass a diverse cross section of plant disease systems, including tree pathogens and wood rotting fungi (Boddy 2000;Gibbs and Smith 1978), storage rotting fungi (El Hadrami et al 2007;Yang et al 2008), foliar pathogens (Le May et al 2009;Nolan et al 1999), and root rots (Ledingham 1942;Moya-Elizondo et al 2011a;Scardaci and Webster 1981). Studies of foliar pathogens appear most common, with antagonisms reported among foliar pathogens of wheat, barley, and pea (da Luz and Bergstrom 1987;Le May et al 2009;Nolan et al 1999;Round and Wheeler 1978).…”

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confidence: 99%

Competition Between Fusarium pseudograminearum and Cochliobolus sativus Observed in Field and Greenhouse Studies

2018

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Among root pathogens, one of the most documented antagonisms is the suppression of Cochliobolus sativus by Fusarium (roseum) species. Unfortunately, previous studies involved single isolates of each pathogen and thus, provided no indication of the spectrum of responses that occur across the respective species. To investigate the variability in interactions between Cochliobolus sativus and Fusarium pseudograminearum, field and greenhouse trials were conducted that included monitoring of spring wheat plant health and monitoring of pathogen populations via quantitative real-time polymerase chain reaction. The interactions between two isolates of C. sativus and four isolates of F. pseudograminearum were explored in three geographically distinct wheat fields. To complement field trials and to limit potentially confounding environmental variables that are often associated with field studies, greenhouse trials were performed that investigated the interactions among and between three isolates of C. sativus and four isolates of F. pseudograminearum. Across field locations, C. sativus isolate Cs2344 consistently and significantly reduced Fusarium populations by an average of 20.1%. Similarly, F. pseudograminearum isolate Fp2228 consistently and significantly reduced C. sativus field populations by an average of 30.9%. No interaction was detected in the field between pathogen species with regards to disease or crop losses. Greenhouse results confirmed a powerful (>99%), broadly effective suppression of Fusarium populations by isolate Cs2344. Among greenhouse trials, additional isolate-isolate interactions were observed affecting Fusarium populations. Due to lower C. sativus population sizes in greenhouse trials, significant Fusarium suppression of C. sativus was only detected in one isolate-isolate interaction. This study is the first to demonstrate suppression of Fusarium spp. by C. sativus in field and greenhouse settings. These findings also reveal a complex competitive interaction between these two pathogen species that was previously unknown.

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“…In addition, some Fusarium wilts can develop with fewer CFUs than the detection threshold of the media (Nishimura 2007). Unlike conventional culturing approaches, real-time PCR assays have been demonstrated to accurately detect and quantify important plant pathogens (Jim enez-Fern andez et al 2011; Kuan et al 2011;Moya-Elizondo et al 2011;Bilodeau et al 2012). Moreover, an appropriate soil sampling protocol needs to be developed to accurately determine FOL DNA concentrations in soil by the real-time PCR assay.…”

Section: Discussionmentioning

confidence: 99%

Development of a TaqMan Real‐Time Polymerase Chain Reaction Assay for Detection and Quantification of Fusarium oxysporum f. sp. lycopersici in Soil

Huang

Tsai

Vallad

2016

Journal of Phytopathology

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Fusarium wilt, caused by Fusarium oxysporum f. sp. lycopersici (FOL), is an important disease of tomato. Pathogenicity and vegetative compatibility tests, although reliable, are laborious for the identification of FOL isolates and cannot efficiently quantify population densities of FOL in the soil. The objective of this study was to develop a rapid, sensitive and quantitative real‐time polymerase chain reaction (PCR) assay for detecting and quantifying FOL in soil. An inexpensive and relatively simple method for soil DNA extraction and purification was developed based on bead‐beating and a silica‐based DNA‐binding method. A TaqMan probe and PCR primers were designed using the DNA sequence of the species‐specific virulence gene SIX1, which is only present in isolates of FOL, not in isolates of other formae speciales or non‐pathogenic isolates of F. oxysporum. The real‐time PCR assay successfully amplified isolates of three races of FOL used in this study and quantified FOL DNA in soils, with a detection limit of 0.44 pg of genomic DNA of FOL in 20 μl of the real‐time PCR. A spiking test performed by adding different concentrations of conidia to soil showed a significant linear relationship between the amount of genomic DNA of FOL detected by the real‐time PCR assay and the concentration of conidia added. In addition, the real‐time PCR assay revealed a significant quadratic regression for a glasshouse experiment between disease severity and DNA concentration of FOL. The soil DNA extraction method and real‐time PCR assay developed in this study could be used to determine population densities of FOL in soil, develop threshold models to predict Fusarium wilt severity, identify high‐risk fields and measure the impact of cultural practices on FOL populations in soils.

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Population Dynamics Between Fusarium pseudograminearum and Bipolaris sorokiniana in Wheat Stems Using Real-Time qPCR

Cited by 15 publications

References 47 publications

Culm discolouration as an indicator of Fusarium pseudograminearum biomass

Culm discolouration as an indicator of Fusarium pseudograminearum biomass

Competition Between Fusarium pseudograminearum and Cochliobolus sativus Observed in Field and Greenhouse Studies

Development of a TaqMan Real‐Time Polymerase Chain Reaction Assay for Detection and Quantification of Fusarium oxysporum f. sp. lycopersici in Soil

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