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Möller, M.

Publications and source records attributed to Möller, M..

13 recordsLinked to original sources
bioRxiv2026

Rhizoctonia theobromae isolates causing Vascular-Streak Dieback of Cocoa and Cassava Witches' Broom Disease are likely host-specific, regionally divergent and homothallic

The fastidious basidiomycete Rhizoctonia (Ceratobasidium) theobromae is a biotrophic pathogen that causes Vascular-Streak Dieback (VSD) of Theobroma cacao (cocoa). The fungus has also been identified as the cause of an emergent disease known as Cassava Witches Broom Disease (CWBD) raising concerns that the pathogen is spreading to alternative hosts and to new regions. Interestingly, while VSD of cocoa and CWBD are reported as co-present in several countries, there is currently no evidence for cross-infection between species. The fungus is difficult to culture in vitro due its slow growth and Kochs postulates have not been definitive on either host. The complete fungus life cycle therefore remains enigmatic, though studies have progressed knowledge on pathology within the both the cocoa and cassava hosts. We have conducted limited field trials and sequenced mating (MAT) and ITS loci of isolates from various infected hosts and regions. We hypothesize that (i) genetic variation at MAT loci correlates with region or host (ii) long amplicon ITS sequences between isolates are more definitive for polymorphisms (iii) life-cycle traits of R. theobromae may be inferred from MAT loci (iv) cassava grown under VSD infected cocoa will be infected and develop symptoms of CWBD. We did not find any cross-infection in field trials, and we show that the pathogen is highly homozygous, despite undergoing meiosis, indicating a predominantly homothallic life cycle. Our data indicate that the pathogen is likely host specific and regionally divergent and suggests that host specificity on cocoa and cassava evolved by selection from a common ancestor rather than a host jump.

microbiology↗
bioRxiv2025

Mitochondrial DNA Imputation Accuracy and Its Application in a Southern African Mitochondrial Genome-wide Association Study

Southern African populations harbor exceptional mitochondrial genetic diversity and include the earliest diverging mitochondrial haplogroups. Yet, they remain significantly underrepresented in genetic studies and reference databases. This underrepresentation raises concerns about the performance and generalizability of mitochondrial imputation tools in populations with complex demographic histories. In this study, we conducted a comprehensive evaluation of the publicly available MitoImpute reference panel to assess its accuracy and suitability for use in southern African cohorts. We examined imputation performance for mitochondrial DNA (mtDNA), the impact of imputation on haplogroup assignment, and the extent to which population-specific variants were recovered by the panel. As a proof-of-principle application, we used the MitoImpute reference panel and imputation workflow to merge five southern African tuberculosis (TB) case-control mtDNA datasets and perform a mitochondrial genome-wide association study (miWAS) of TB susceptibility. Although MitoImpute performed well in predicting mitochondrial haplogroups and accurately imputing a subset of mtDNA variants, substantial population-specific variation was not captured. No significant associations with TB susceptibility were identified, highlighting key limitations of array-based mtDNA genotyping and imputation in highly diverse populations. Together, these findings underscore the need for improved reference panels enriched for African mitochondrial diversity and provide practical guidelines for mitochondrial data harmonization and analysis in multi-ancestry cohorts.

genetics↗
bioRxiv2025

Recovering the pre-colonial population structure of Khoe-San descendant populations

San populations from Botswana and Namibia retain exceptional linguistic, cultural and genetic diversity, but few Khoisan-speaking groups remain south of the Kalahari Desert. However, historically, far southern Africa was home to many San and Khoekhoe groups. Popular opinion often implies that such populations do not contribute to the ancestry of contemporary South Africans. Here, we characterize the genetic ancestry of self-identified South African Coloured groups and reconstruct pre- and colonial population structure from 620 newly sampled individuals. These groups retain majority Khoe-San genetic ancestry (>48%), suggesting the persistence of Khoe-San ancestry to the present day. By isolating the Khoe-San ancestry component, we show that it is intermediate between the =Khomani San and Nama, and distinct from Kalahari Khoe-San populations. We also find that signatures of the Indian Ocean slave trade can be traced to Indonesian islands such as Sulawesi, Java, and Flores, while the South Asian ancestry is regionally non-specific. TeaserLarge-scale genomic study uncovers enduring indigenous ancestry in South African populations, exposing a complex past.

evolutionary biology↗
bioRxiv2023

Slave Trade and Colonial Expansion Resulted in Strong Sex-Biased Admixture in South Africa

The colonial-period arrival of Europeans in southern Africa is associated with strong sex-biased migration by which male settlers displaced indigenous Khoekhoe and San men. Simultaneously, the importation of South Asian, Indonesian and Eastern African slaves may have contributed female-biased migration to Cape Town and surrounding areas. We examine the spatial and temporal spread of sex-biased migration from the Cape northward into Namaqualand and the southern Kalahari using genetic data from more than 1,400 individuals. In all regions, admixture patterns were sex-biased, with evidence of a greater male contribution of European ancestry and greater female contribution of Khoe-San ancestry. While admixture among Khoe-San, European, equatorial African, and Asian groups has likely been continuous from the founding of Cape Town to present-day, we find that Khoe-San groups further north experienced a single pulse of European admixture 6-8 generations ago. European admixture was followed by additional Khoe-San gene flow, potentially reflecting an aggregation of indigenous groups due to disruption by colonial interlopers. Male migration into the northern frontier territories was not a homogenous group of expanding Afrikaners and slaves. The Nama show evidence of distinct founder effects and derive 15% of their male lineages from Asian men, a pattern absent in the =Khomani San. Khoe-San ancestry from the paternal line is greatly diminished in populations from Cape Town, the Cederberg Mountains and Upington, but remains more frequent in self-identified ethnically indigenous groups. Strikingly, we estimate that Khoe-San Y-chromosomes were experiencing unprecedented population growth at the time of European arrival. Our findings shed light on the patterns of admixture and the population history of South Africa as the colonial frontier expanded.

genetics↗
bioRxiv2022

H4K20me3 controls Ash1-mediated H3K36me3 and transcriptional silencing in facultative heterochromatin

Facultative heterochromatin controls development and differentiation in many eukaryotes. In metazoans, plants, and many filamentous fungi, facultative heterochromatin is characterized by transcriptional repression and enrichment with nucleosomes that are trimethylated at histone H3 lysine 27 (H3K27me3). While loss of H3K27me3 results in derepression of transcriptional gene silencing in many species, additional up- and downstream layers of regulation are necessary to mediate control of transcription in chromosome regions enriched with H3K27me3. Here, we investigated the effects of one histone mark on histone H4, namely H4K20me3, in the fungus Zymoseptoria tritici, a globally important pathogen of wheat. Deletion of kmt5, the gene encoding the sole methyltransferase responsible for H4K20 methylation, resulted in global derepression of transcription, especially in regions of facultative heterochromatin. Reversal of silencing in the absence of H4K20me3 not only affected genes but also a large number of novel, previously undetected, non-coding transcripts generated from regions of facultative heterochromatin on accessory chromosomes. Transcriptional activation in kmt5 deletion strains was accompanied by a complete loss of Ash1-mediated H3K36me3 and chromatin reorganization affecting H3K27me3 and H3K4me2 distribution in regions of facultative heterochromatin. Strains with a H4K20M mutation in the single histone H4 gene of Z. tritici recapitulated these chromatin changes, suggesting that H4K20me3 is essential for Ash1-mediated H3K36me3. The {Delta}kmt5 mutants we obtained are more sensitive to genotoxic stressors and both, {Delta}kmt5 and {Delta}ash1, showed greatly increased rates of accessory chromosome loss. Taken together, our results provide insights into a novel, and unsuspected, mechanism controlling the assembly and maintenance of facultative heterochromatin. SignificanceFacultative heterochromatin contains genes important for specific developmental or life cycle stages. Transcriptional regulation of these genes is influenced by chromatin structure. Here, we report that a little studied histone modification, trimethylation of lysine 20 on histone H4 (H4K20me3), is enriched in facultative heterochromatin and important for transcriptional repression in these regions in an important agricultural pathogen. Furthermore, normal levels of H4K20me3 are essential for deposition of another repressive histone mark, Ash1-mediated H3K36me3, and affect the distribution of other marks including H3K27me3. We conducted the first genome-wide assessment of H4K20 methylation levels in a fungus, and our discoveries reveal that multiple chromatin modifications are required to establish transcriptional silencing, providing the framework to understand epistasis relationships among these histone marks.

genetics↗
bioRxiv2022

cis-eQTL mapping of TB-T2D comorbidity elucidates the involvement of African ancestry in TB susceptibility

The validation of genome-wide association signals for tuberculosis (TB) susceptibility and the development of type 2 diabetes (T2D) across diverse populations remain problematic. The ancestry-specific variants (coding and non-coding) that contribute to previously identified differentially expressed genes (DEG) in patients with TB, T2D and comorbid TB-T2D, remain unknown. Identifying ancestry-specific expression quantitative trait loci (eQTLs) can aid in distinguishing the most probable disease-causing variants for population-specific therapeutic interventions. Therefore, this study conducted cis-eQTL mapping in TB, T2D and TB-T2D patients to identify variants associated with DEG. Both genotyping (Infinium H3A array with [~]2.3 M markers) and RNA sequencing data of 96 complex multi-way admixed South Africans were used for this purpose. Importantly, both global-and local ancestry adjustment were included in statistical analysis to account for complex admixture. Unique gene-variant pairs were associated with TB-T2D on chromosome 7p22 whilst adjusting for Bantu-speaking African ancestry (PRKAR1B:rs4464850; P=7.68e-07) and Khoe-San ancestry (PRKAR1B:rs117842122; P=3.66e-07). In addition, IFITM3 (a biomarker for the development of TB) was associated with three SNPs (rs11025530, rs3808990, and rs10896664) on chromosome 11p15 while adjusting for Khoe-San ancestry. Our results also indicated that the upregulation of the NLRP6 inflammasome is strongly associated with people with TB-T2D while adjusting for Khoe-San ancestry. Three African-specific eGenes (NLRP6, IFITM3 and PRKAR1B) would have been missed if local ancestry adjustment was not conducted. This study determined a list of ancestry-specific eQTLs in TB-T2D patients that could potentially guide the search for new therapeutic targets for TB-T2D in African populations. Author SummaryThe limitation of genome-wide association study (GWAS) is that the particular biological pathway impacted by a variant might not be evident. eQTL mapping can be conducted to determine the impact that a genetic variant might have on the expression of a specific gene in a biological pathway. In this study the use of cis-eQTL mapping was explored to elucidate the underlying genetic variants that regulate gene expression between TB-T2D and T2D patients, and between TB patients and healthy controls with multi-way genetic admixture from South Africa. Using RNA sequencing data and newly genotyped dataset of 96 individuals (Illumina Infinium H3Africa array with [~]2.5 M markers), we were able to identify ancestry-specific eQTLs. eQTLs of indigenous Khoe-San ancestral origin were identified in genetic regions previously implicated in TB and T2D in African populations. If local ancestry was not incorporated in the cis-eQTL mapping analysis these important African-specific eQTLs would have been missed. Our results provide a list of possible ancestry-specific causal variants associated with TB-T2 comorbidity that could guide the search for new therapeutic targets for African-specific populations. Including populations with complex ancestry and admixture in genetic studies is necessary to improve the quality of genetic research in sub-Saharan African groups.

genetics↗
bioRxiv2022

GWAS in the Southern African context

Researchers would generally adjust for the possible confounding effect of population structure by considering global ancestry proportions or top principle components. Alternatively, researchers would conduct admixture mapping to increase the power to detect variants with an ancestry effect. This is sufficient in simple admixture scenarios, however, populations from southern Africa can be complex multi-way admixed populations. Duan et al. (2018) first described local ancestry adjusted allelic (LAAA) analysis as a robust method for discovering association signals, while producing minimal false-positives. Their simulation study, however, was limited to a two-way admixed population. Realizing that their findings might not translate to other admixture scenarios, we simulated a three- and five-way admixed population to compare the LAAA model to other models commonly used in GWAS. We found that, given our admixture scenarios, the LAAA model identifies the most causal variants in most of the phenotypes we tested across both the three-way and five-way admixed populations. The LAAA model also produced a high number of false-positives which was potentially caused by the ancestry effect size that we assumed. Considering the extent to which the various models tested differed in their results and considering that the source of a given association is unknown, we recommend that researchers use multiple GWAS models when analysing populations with complex ancestry.

genetics↗
bioRxiv2021

The Recombination Landscape of the Khoe-San - the Upper Limits of Recombination Divergence in Humans

Recombination maps are important resources for epidemiological and evolutionary analyses, however, there are currently no recombination maps representing any African population outside of those with West African ancestry. We inferred the demographic history for the Nama, an indigenous Khoe-San population of southern Africa, and derived a novel, population-specific recombination map from the whole genome sequencing of 54 Nama individuals. We hypothesized that there are no publicly available recombination maps representative of the Nama, considering the deep population divergence and subsequent isolation of the Khoe-San from other African groups. We showed that the recombination landscape of the Nama does not cluster with any continental groups with publicly available representative recombination maps. Finally, we used selection scans as an example of how fine-scale differences between the Nama recombination map and the combined Phase II HapMap recombination map can impact the outcome of selection scans.

bioinformatics↗
bioRxiv2020

How to build a water-splitting machine: structural insights into photosystem II assembly

Biogenesis of photosystem II (PSII), natures water splitting catalyst, is assisted by auxiliary proteins that form transient complexes with PSII components to facilitate stepwise assembly events. Using cryo-electron microscopy, we solved the structure of such a PSII assembly intermediate with 2.94 [A] resolution. It contains three assembly factors (Psb27, Psb28, Psb34) and provides detailed insights into their molecular function. Binding of Psb28 induces large conformational changes at the PSII acceptor side, which distort the binding pocket of the mobile quinone (QB) and replace bicarbonate with glutamate as a ligand of the non-heme iron, a structural motif found in reaction centers of non-oxygenic photosynthetic bacteria. These results reveal novel mechanisms that protect PSII from damage during biogenesis until water splitting is activated. Our structure further demonstrates how the PSII active site is prepared for the incorporation of the Mn4CaO5 cluster, which performs the unique water splitting reaction. One Sentence HighlightThe high-resolution Cryo-EM structure of the photosystem II assembly intermediate PSII-I reveals how natures water splitting catalyst is assembled, protected and prepared for photoactivation by help of the three assembly factors Psb27, Psb28 and Psb34.

plant biology↗
bioRxiv2019

Putting RFMix and ADMIXTURE to the test in a complex admixed population

Global and local ancestry inference in admixed human populations can be performed using computational tools implementing distinct algorithms, such as RFMix and ADMIXTURE. The accuracy of these tools has been tested largely on populations with relatively straightforward admixture histories but little is known about how well they perform in more complex admixture scenarios. Using simulations, we show that RFMix outperforms ADMIXTURE in determining global ancestry proportions in a complex 5-way admixed population. In addition, RFMix correctly assigns local ancestry with an accuracy of 89%. The increase in reported local ancestry inference accuracy in this population (as compared to previous studies) can largely be attributed to the recent availability of large-scale genotyping data for more representative reference populations. The ability of RFMix to determine global and local ancestry to a high degree of accuracy, allows for more reliable population structure analysis, scans for natural selection, admixture mapping and case-control association studies. This study highlights the utility of the extension of computational tools to become more relevant to genetically structured populations, as seen with RFMix. This is particularly noteworthy as modern-day societies are becoming increasingly genetically complex and some genetic tools are therefore less appropriate. We therefore suggest that RFMix be used for both global and local ancestry estimation in complex admixture scenarios.

genomics↗
bioRxiv2018

Learning the payoffs and costs of actions

A set of sub-cortical nuclei called basal ganglia is critical for learning the values of actions. The basal ganglia include two pathways, which have been associated with approach and avoid behavior respectively, and are differentially modulated by dopamine projections from the midbrain. According to the influential opponent actor learning model, these pathways represent learned estimates of the positive and negative consequences (payoffs and costs) of actions. The level of dopamine release controls to what extent payoffs and costs enter the overall evaluation of actions. How the knowledge about payoff and cost is acquired is still an open question, even though many theories describe learning from feedback in the basal ganglia. We examine whether a set of plasticity rules proposed to model reinforcement learning in the pathways of the basal ganglia is suitable to extract payoffs and costs from a reward prediction error signal. First, we determine the result of such learning, both analytically and via simulations, for different reward schedules that feature payoffs and costs. Then, we combine the plasticity rules with a decision rule to examine the emerging effect of dopaminergic modulation on the willingness to work for reward. We find that the plasticity rules are suitable to infer the mean payoffs and costs of actions, if those occur at different moments in time. Successful learning requires differential effects of positive and negative reward prediction errors on the two pathways, and a weak decay of synaptic weights over trials. We also confirm that dopaminergic modulation produces effects on the willingness to work for reward similar to those observed in classical experiments.\n\nAuthor summaryThe basal ganglia are structures underneath the surface of the vertebrate brain, associated with error driven learning. Much is known about the anatomical and biological features of the basal ganglia; scientists now try to understand the algorithms implemented by these structures. Numerous models aspire to capture the learning functionality, but many of them only cover some specific aspect of the algorithm. Instead of further adding to that pool of partial models, we unify two existing ones - one which captures what the basal ganglia learns, and one that describes the learning mechanism itself. The first model suggests that the basal ganglia keeps track of both positive and negative consequences of frequent opportunities, and weighs these by the motivational state in decisions. It explains how payoff and cost are represented, but not how those representations arise. The other model consists of biologically plausible plasticity rules, which describe how learning takes place, but not how the brain makes use of what is learned. We show that the two theories are compatible. Together, they form a model of learning and decision making that integrates the motivational state as well as the learned payoffs and costs of opportunities.

neuroscience↗
bioRxiv2018

Extraordinary genome instability and widespread chromosome rearrangements during vegetative growth

The haploid genome of the pathogenic fungus Zymoseptoria tritici is contained on \"core\" and \"accessory\" chromosomes. While 13 core chromosomes are found in all strains, as many as eight accessory chromosomes show presence/absence variation and rearrangements among field isolates. We investigated chromosome stability using experimental evolution, karyotyping and genome sequencing. We report extremely high and variable rates of accessory chromosome loss during mitotic propagation in vitro and in planta. Spontaneous chromosome loss was observed in 2 to >50 % of cells during four weeks of incubation. Similar rates of chromosome loss in the closely related Z. ardabiliae suggest that this extreme chromosome dynamic is a conserved phenomenon in the genus. Elevating the incubation temperature greatly increases instability of accessory and even core chromosomes, causing severe rearrangements involving telomere fusion and chromosome breakage. Chromosome losses do not impact the fitness of Z. tritici in vitro, but some lead to increased virulence suggesting an adaptive role of this extraordinary chromosome instability.

genomics↗
bioRxiv2017

An Unexpectedly Complex Architecture for Skin Pigmentation in Africans

Fewer than 15 genes have been directly associated with skin pigmentation variation in humans, leading to its characterization as a relatively simple trait. However, by assembling a global survey of quantitative skin pigmentation phenotypes, we demonstrate that pigmentation is more complex than previously assumed with genetic architecture varying by latitude. We investigate polygenicity in the Khoe and the San, populations indigenous to southern Africa, who have considerably lighter skin than equatorial Africans. We demonstrate that skin pigmentation is highly heritable, but that known pigmentation loci explain only a small fraction of the variance. Rather, baseline skin pigmentation is a complex, polygenic trait in the KhoeSan. Despite this, we identify canonical and non-canonical skin pigmentation loci, including near SLC24A5, TYRP1, SMARCA2/VLDLR, and SNX13 using a genome-wide association approach complemented by targeted resequencing. By considering diverse, under-studied African populations, we show how the architecture of skin pigmentation can vary across humans subject to different local evolutionary pressures.\n\nHighlightsO_LISkin pigmentation in Africans is far more polygenic than light skin pigmentation in Eurasians.\nC_LIO_LIKhoeSan[§] populations, which diverged early in human prehistory from other populations, have lightened skin pigmentation compared to equatorial Africans.\nC_LIO_LISkin color is highly heritable in the KhoeSan, but pigmentation variability is not well explained by previously discovered pigmentation genes.\nC_LIO_LIWe perform the first GWAS for pigmentation in African KhoeSan populations and identify canonical pigmentation loci near TYRP1 and in SLC24A5, as well as novel associations surrounding SMARCA2 and other genes.\nC_LI

genetics↗