Biology subjects

Jigisha, J.

Publications and source records attributed to Jigisha, J..

3 recordsLinked to original sources

bioRxiv2024

Genomic surveillance and molecular evolution of fungicide resistance in European populations of wheat powderymildew

Fungicides are used in agriculture to manage fungal infections and maintain crop yield and quality. In Europe, their application on cereals increased drastically starting from the mid 1970s, contributing to a significant improvement in yields. However, extensive usage has led to the rapid evolution of resistant pathogen populations within just a few years of fungicide deployment. Here we focus on wheat powdery mildew, a disease caused by the ascomycete fungus Blumeria graminis forma specialis tritici (Bgt). Previous research on Bgt documented the emergence of resistance to different fungicides and identified various resistance mechanisms. Yet, the frequency, distribution, and evolutionary dynamics of fungicide resistance in Bgt populations remain largely unexplored. In this study we leveraged extensive sampling and whole-genome sequencing of Bgt populations in Europe and the Mediterranean to investigate the population genetics and molecular epidemiology of fungicide resistance towards five major fungicide classes. We analyzed gene sequences and copy number variation of eight known fungicide target genes in 415 Bgt isolates sampled between 1980 and 2023. We observed that mutations conferring resistance to various fungicides increased in frequency over time, and had distinct geographic distributions, likely due to diverse deployment of fungicides across different regions. For demethylation inhibitor fungicides we identified multiple independent events of resistance emergence with distinct mutational profiles, and we tracked their rapid spread in the last decades. Overall, we revealed the evolutionary and epidemiological dynamics of fungicide resistance mutations in European Bgt populations. These results underscore the potential of genomic surveillance and population genetics to enhance our understanding of fungicide resistance.

pathology↗

bioRxiv2024

Population genomics and molecular epidemiology of wheat powdery mildew in Europe

Agricultural diseases are a major threat to sustainable food production. Yet, for many pathogens we know exceptionally little about their epidemiological and population dynamics, and this knowledge gap is slowing the development of efficient control strategies. Here we study the population genomics and molecular epidemiology of wheat powdery mildew, a disease caused by the biotrophic fungus Blumeria graminis forma specialis tritici (Bgt). We sampled Bgt for two consecutive years, 2022 and 2023, from 22 countries in Europe and surrounding regions, and compiled a genomic dataset of 415 Bgt isolates. We found one single epidemic unit in the north of Europe, consisting of a highly homogeneous population. Conversely, the south of Europe hosts smaller local populations which are less interconnected. In addition, we show that the population structure can be largely predicted by the prevalent wind patterns. We identified several loci that were under selection in the recent past, including fungicide targets and avirulence genes. Some of these loci are common between populations, while others are not, suggesting different local selective pressures. We reconstructed the evolutionary history of one of these loci, AvrPm17, coding for an effector recognized by the wheat receptor Pm17. We found evidence for a soft sweep on standing genetic variation. Multiple AvrPm17 haplotypes, which can partially escape recognition by Pm17, spread rapidly throughout the continent upon its introduction in the early 2000s. We also identified a new virulent variant, which emerged more recently and can evade Pm17 resistance altogether. Overall, we highlight the potential of genomic surveillance in resolving the evolutionary and epidemiological dynamics of agricultural pathogens, as well as in guiding control strategies.

evolutionary biology↗

bioRxiv2024

Avirulence depletion assay: combining R gene-mediated selection with bulk sequencing for rapid avirulence gene identification in wheat powdery mildew

Wheat production is threatened by multiple fungal pathogens, such as the wheat powdery mildew fungus (Blumeria graminis f. sp. tritici, Bgt). Wheat resistance breeding frequently relies on the use of resistance (R) genes that encode diverse immune receptors which detect specific avirulence (AVR) effectors and subsequently induce an immune response. While R gene cloning has accelerated recently, AVR identification in many pathogens including Bgt lags behind, preventing pathogen-informed deployment of resistance sources. Here we describe a new "avirulence depletion (AD) assay" for rapid identification of AVR genes in Bgt. This assay relies on the selection of a segregating, haploid F1 progeny population on a resistant host, followed by bulk sequencing, thereby allowing rapid avirulence candidate gene identification with high mapping resolution. In a proof-of- concept experiment we mapped the AVR component of the wheat immune receptor Pm3a to a 25kb genomic interval in Bgt harboring a single effector, the previously described AvrPm3a2/f2. Subsequently, we applied the AD assay to map the unknown AVR effector recognized by the Pm60 immune receptor. We show that AvrPm60 is encoded by three tandemly arrayed, nearly identical effector genes that trigger an immune response upon co- expression with Pm60 and its alleles Pm60a and Pm60b. We furthermore provide evidence that Pm60 outperforms Pm60a and Pm60b through more efficient recognition of AvrPm60 effectors, suggesting it should be prioritized for wheat breeding. Finally, we show that virulence towards Pm60 is caused by simultaneous deletion of all AvrPm60 gene paralogs and that isolates lacking AvrPm60 are especially prevalent in the US thereby limiting the potential of Pm60 in this region. The AD assay is a powerful new tool for rapid and inexpensive AVR identification in Bgt with the potential to contribute to pathogen-informed breeding decisions for the use of novel R genes and regionally tailored gene deployment.

plant biology↗