QTL mapping of fungicide sensitivity reveals novel genes and pleiotropy with melanization in the pathogen Zymoseptoria tritici

Lendenmann, Mark H.; Croll, Daniel; McDonald, Bruce A.

doi:10.1016/j.fgb.2015.05.001

Cited by 70 publications

(79 citation statements)

References 68 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…There was a confidence interval overlap between the two crosses for the QTLs on chromosome 2, suggesting a shared QTL. This QTL overlap was already described in a previous study (Lendenmann et al, 2015). On average,~30% of total variance was explained by the significant QTLs for each trait in both crosses (Table 3).…”

Section: Genetic Architecture Of Tssupporting

confidence: 83%

“…Mapping population, genotyping, genetic mapping and gene expression Methods used for genetic mapping and gene expression were described earlier (Brunner et al, 2013;Lendenmann et al, 2014Lendenmann et al, , 2015. Briefly, four Swiss wildtype strains were used to create two mapping populations, following an established protocol (Kema et al, 1996).…”

Section: Methodsmentioning

confidence: 99%

“…In a previous study (Lendenmann et al, 2015), we described a shared QTL on chromosome 11 for melanization at 22°C, growth rate at 22°C and fungicide sensitivity in cross 3D1 × 3D7. We hypothesized that a rare mutation in PKS1 (protein ID 96592) found in the 3D7 parent was responsible for this pleiotropy (Lendenmann et al, 2014).…”

Section: Evidence For Pleiotropymentioning

confidence: 97%

“…Radial growth rates (mm per day) (Trinci, 1971;Lendenmann et al, 2015) of single spore colonies grown at two temperatures (15 and 22°C) and observed over three time points (8, 11 and 14 days post inoculation (dpi)) were used to calculate TS. Plate inoculation procedures and digital image analyses in ImageJ (Schneider et al, 2012) were described earlier (Lendenmann et al, 2014).…”

Section: Phenotypingmentioning

confidence: 99%

“…Two absolute value traits (radial growth rate at 15 and 22°C) and one relative value trait (relative growth rate coefficient = TS) were calculated for each isolate and used for QTL analysis. The 22°C growth rate trait of this study was called growth rate (fungicide absent) in an earlier investigation mapping QTLs involved in fungicide sensitivity (Lendenmann et al, 2015).…”

Section: Phenotypingmentioning

confidence: 99%

See 4 more Smart Citations

QTL mapping of temperature sensitivity reveals candidate genes for thermal adaptation and growth morphology in the plant pathogenic fungus Zymoseptoria tritici

et al. 2016

View full text Add to dashboard Cite

Different thermal environments impose strong, differential selection on populations, leading to local adaptation, but the genetic basis of thermal adaptation is poorly understood. We used quantitative trait locus (QTL) mapping in the fungal wheat pathogen Zymoseptoria tritici to study the genetic architecture of thermal adaptation and identify candidate genes. Four wild-type strains originating from the same thermal environment were crossed to generate two mapping populations with 263 (cross 1) and 261 (cross 2) progeny. Restriction site-associated DNA sequencing was used to genotype 9745 (cross 1) and 7333 (cross 2) singlenucleotide polymorphism markers segregating within the mapping population. Temperature sensitivity was assessed using digital image analysis of colonies growing at two different temperatures. We identified four QTLs for temperature sensitivity, with unique QTLs found in each cross. One QTL had a logarithm of odds score 411 and contained only six candidate genes, including PBS2, encoding a mitogen-activated protein kinase kinase associated with low temperature tolerance in Saccharomyces cerevisiae. This and other QTLs showed evidence for pleiotropy among growth rate, melanization and growth morphology, suggesting that many traits can be correlated with thermal adaptation in fungi. Higher temperatures were highly correlated with a shift to filamentous growth among the progeny in both crosses. We show that thermal adaptation has a complex genetic architecture, with natural populations of Z. tritici harboring significant genetic variation for this trait. We conclude that Z. tritici populations have the potential to adapt rapidly to climate change and expand into new climatic zones.

show abstract

Section: Genetic Architecture Of Tssupporting

confidence: 83%

Section: Methodsmentioning

confidence: 99%

Section: Evidence For Pleiotropymentioning

confidence: 97%

Section: Phenotypingmentioning

confidence: 99%

Section: Phenotypingmentioning

confidence: 99%

See 3 more Smart Citations

QTL mapping of temperature sensitivity reveals candidate genes for thermal adaptation and growth morphology in the plant pathogenic fungus Zymoseptoria tritici

et al. 2016

View full text Add to dashboard Cite

show abstract

Highly flexible infection programs in a specialized wheat pathogen

Haueisen

Möller

Eschenbrenner

et al. 2018

Ecology and Evolution

171

View full text Add to dashboard Cite

Many filamentous plant pathogens exhibit high levels of genomic variability, yet the impact of this variation on host–pathogen interactions is largely unknown. We have addressed host specialization in the wheat pathogen Zymoseptoria tritici. Our study builds on comparative analyses of infection and gene expression phenotypes of three isolates and reveals the extent to which genomic variation translates into phenotypic variation. The isolates exhibit genetic and genomic variation but are similarly virulent. By combining confocal microscopy, disease monitoring, staining of ROS, and comparative transcriptome analyses, we conducted a detailed comparison of the infection processes of these isolates in a susceptible wheat cultivar. We characterized four core infection stages: establishment, biotrophic growth, lifestyle transition, and necrotrophic growth and asexual reproduction that are shared by the three isolates. However, we demonstrate differentiated temporal and spatial infection development and significant differences in the expression profiles of the three isolates during the infection stages. More than 20% of the genes were differentially expressed and these genes were located significantly closer to transposable elements, suggesting an impact of epigenetic regulation. Further, differentially expressed genes were enriched in effector candidates suggesting that isolate‐specific strategies for manipulating host defenses are present in Z. tritici. We demonstrate that individuals of a host‐specialized pathogen have highly differentiated infection programs characterized by flexible infection development and functional redundancy. This illustrates how high genetic diversity in pathogen populations results in highly differentiated infection phenotypes, which fact needs to be acknowledged to understand host–pathogen interactions and pathogen evolution.

show abstract

Cross‐resistance between myclobutanil and tebuconazole and the genetic basis of tebuconazole resistance in Venturia inaequalis

Cordero-Limon

Shaw

Passey³

et al. 2020

Pest Management Science

View full text Add to dashboard Cite

BACKGROUND Myclobutanil is one of the most widely used demethylation inhibitor (DMI) fungicides for the management of apple scab, caused by Venturia inaequalis. Strains of V. inaequalis resistant to myclobutanil have been reported across the world. Tebuconazole, another DMI fungicide, has been proposed as an alternative to myclobutanil, and the extent of cross‐resistance with myclobutanil therefore needs to be evaluated. The sensitivity to tebuconazole and myclobutanil of a total of 40 isolates was determined. Half the isolates came from an isolated orchard which had never been sprayed with fungicides and half from orchards sprayed regularly with myclobutanil, but still with disease control problems. The progeny of a tebuconazole resistant (R) × sensitive (S) V. inaequalis cross were analyzed in order to improve understanding of the genetic control of tebuconazole sensitivity. RESULTS There is cross‐resistance between myclobutanil and tebuconazole (r = 0.91; P < 0.001). Sensitivity to tebuconazole of the progeny of a R × S cross varied quantitatively in a pattern which implied at least two gene loci differing between the parental strains. In addition, the asymmetric distribution of the sensitivity in the progeny implied possible epistatic effects. CONCLUSION Resistance to myclobutanil and tebuconazole is strongly correlated. At least two genes are involved in the control of tebuconazole resistance in V. inaequalis.

show abstract

QTL mapping of fungicide sensitivity reveals novel genes and pleiotropy with melanization in the pathogen Zymoseptoria tritici

Cited by 70 publications

References 68 publications

QTL mapping of temperature sensitivity reveals candidate genes for thermal adaptation and growth morphology in the plant pathogenic fungus Zymoseptoria tritici

QTL mapping of temperature sensitivity reveals candidate genes for thermal adaptation and growth morphology in the plant pathogenic fungus Zymoseptoria tritici

Highly flexible infection programs in a specialized wheat pathogen

Cross‐resistance between myclobutanil and tebuconazole and the genetic basis of tebuconazole resistance in Venturia inaequalis

Contact Info

Product

Resources

About