Biology subjects

Kema, G. H.

Publications and source records attributed to Kema, G. H..

4 recordsLinked to original sources

bioRxiv2026

Development of a CRISPR/Cas9-mediated transformation procedure for the wheat pathogen Zymoseptoria tritici

Zymoseptoria tritici is the causal agent of Septoria tritici blotch (STB), one of the most destructive diseases of wheat worldwide. Although the Z. tritici genome encodes hundreds of predicted effector proteins, functional characterization through the use of genome-editing techniques has been limited due to low homologous recombination efficiency and extensive effector redundancy. In this study, we established and evaluated a CRISPR/Cas9-based genome editing procedure for targeted effector gene disruption in Z. tritici using in vitro-assembled Cas9-sgRNA ribonucleoprotein (RNP) complexes combined with short (60 bp) homologous donor DNA flanks. Using this approach, we successfully generated knockout mutants for a selected candidate effector gene, the Hce2 domain-containing effector Mycgr3107904. Virulence assays on the susceptible wheat cultivar Taichung 29 revealed that two independent{Delta} Mycgr3107904 mutants exhibited a pronounced delay in symptom development compared to the wild-type strain IPO323, with disease onset and progression delayed by approximately 4-5 days. While mutant strains ultimately followed a similar disease trajectory, wild-type-infected leaves displayed extensive necrosis and pycnidia formation at earlier time points, indicating a significant reduction in virulence upon loss of Mycgr3107904. Together, our results demonstrate the feasibility of CRISPR/Cas9-mediated effector gene knockout in Z. tritici and provide functional evidence that Mycgr3107904 contributes to timely disease progression. This work advances genome editing tools for Z. tritici and facilitates systematic dissection of effector functions underlying fungal virulence.

genetics↗

bioRxiv2024

Reference-free identification and pangenome analysis of accessory chromosomes in a major fungal plant pathogen

Accessory chromosomes, found in some but not all individuals of a species, play an important role in pathogenicity and host specificity in fungal plant pathogens. However, their variability complicates reference-based analysis, especially when chromosomes are missing from reference genomes. Pangenome variation graphs offer a reference-free alternative for studying these chromosomes. Here, we constructed a pangenome variation graph for Fusarium oxysporum, a major fungal plant pathogen with a compartmentalized genome. To study accessory chromosomes, we constructed a chromosome similarity network and identified eleven conserved core chromosomes and many highly variable accessory chromosomes. Some of these are host-specific and are likely involved in determining host range, which we corroborate by analyzing nearly 600 F. oxysporum assemblies. By a reconstruction of pangenome variation graph per homologous chromosomes, we show that these evolve due to extensive structural variation as well as the exchange of genetic material between accessory chromosomes giving rise to these mosaic accessory chromosomes. Furthermore, we show that accessory chromosomes are horizontally transferred in natural populations. We demonstrate that pangenome variation graphs are a powerful approach to elucidate the evolutionary dynamics of accessory chromosomes in F. oxysporum and provides a computational framework for similar analyses in other species that encode accessory chromosomes.

genomics↗

bioRxiv2023

A deep genetic analysis of banana Fusarium wilt pathogens of Cuba in a Latin American and Caribbean diversity landscape

O_LIFusarium wilt of bananas (FWB) is a devastating plant disease that causes significant economic losses in banana production worldwide and is one of the major concerns for Cuban banana cultivation. The disease is caused by members of the soil-borne Fusarium oxysporum species complex. However, the genetic diversity among Fusarium species infecting bananas in Cuba is currently unknown. C_LIO_LIWe conducted a comprehensive survey of symptomatic banana plants across all production zones of the country and assembled a collection of 170 Fusarium isolates. Using genotyping- by-sequencing and whole-genome comparisons, we investigated the genetic diversity across this suite of isolates and compared it with the genetic diversity of a global Fusarium panel. C_LIO_LITypical FWB symptoms were observed in varieties of the Bluggoe cooking banana and Pisang Awak subgroups in 14 provinces. Phylogenetic analysis revealed that F. purpurascens, F. phialophorum, and F. tardichlamydosporum cause FWB in Cuba, with the latter dominating the population. Furthermore, we identified between five and seven genetic clusters, with F. tardichlamydosporum isolates divided into at least two distinct subgroups, indicating a high genetic diversity of Fusarium spp. causing FWB in the Americas. C_LIO_LIOur study provides unprecedented insights into the population genetic structure and diversity of the FWB pathogen in Cuba and the Latin American and Caribbean regions. C_LI

microbiology↗

bioRxiv2019

A dispensable paralog of succinate dehydrogenase subunit C mediates standing resistance towards a subclass of SDHI fungicides in Zymoseptoria tritici

Succinate dehydrogenase inhibitor (SDHI) fungicides are widely used for the control of a broad range of fungal diseases. This has been the most rapidly expanding fungicide group in terms of new molecules discovered and introduced for agricultural use over the past fifteen years. A particular pattern of differential sensitivity (resistance) to a subclass of chemically-related SDHIs (SHA-SDHIs) was observed in naive Zymoseptoria tritici populations. Class specific SHA-SDHI resistance was confirmed at the enzyme level but did not correlate with the genotypes of the succinate dehydrogenase (SDH) encoding genes. Mapping and characterization of the genetic factor responsible for standing SHA-SDHI resistance in natural field isolates identified a gene (alt-SDHC) encoding a paralog of the C subunit of succinate dehydrogenase. This paralog was not present within our sensitive reference isolates and found at variable frequencies within Z. tritici populations. Using reverse genetics, we showed that alt-SDHC associates with the three other SDH subunits leading to a fully functional enzyme and that a unique Qp-site residue within the alt-SDHC protein confers SHA-SDHI resistance. Enzymatic assays, computational modelling and docking simulations for the two types of SQR enzymes (alt-SDHC, SDHC) enabled us to describe protein-inhibitor interactions at an atomistic level and to propose rational explanations for differential potency and resistance across SHA-SDHIs. European Z. tritici populations displayed a presence (20-30%) / absence polymorphism of alt-SDHC, as well as differences in alt-SDHC expression levels and splicing efficiency. These polymorphisms have a strong impact on SHA-SDHI resistance phenotypes. Characterization of the alt-SDHC promoter in European Z. tritici populations suggest that transposon insertions are associated with the strongest resistance phenotypes. These results establish that a dispensable paralogous gene determines SHA-SDHIs fungicide resistance in natural populations of Z. tritici. This study paves the way to an increased awareness of the role of fungicidal target paralogs in resistance to fungicides and demonstrates the paramount importance of population genomics in fungicide discovery.\n\nAuthor SummaryZymoseptoria tritici is the causal agent of Septoria tritici leaf blotch (STB) of wheat, the most devastating disease for cereal production in Europe. Multiple succinate dehydrogenase inhibitor (SDHI) fungicides have been developed and introduced for the control of STB. We report the discovery and detailed characterization of a paralog of the C subunit of the SDH enzyme conferring standing resistance towards a particular chemical subclass of the SDHIs. The resistance gene is characterized by its presence/absence, expression and splicing polymorphisms which in turn affect resistance levels. The identified mechanism influenced the chemical optimization phase which led to the discovery of pydiflumetofen, exemplifying the importance of population genomics for discovery and rational design of the most adapted solutions.

microbiology↗