Showing papers by "Hernán A. Burbano published in 2022"

Genomic surveillance uncovers a pandemic clonal lineage of the wheat blast fungus

Abstract: Wheat, the most important food crop, is threatened by a blast disease pandemic. Here, we show that a clonal lineage of the wheat blast fungus recently spread to Asia and Africa following two independent introductions from South America. Through a combination of genome analyses and laboratory experiments, we show that the decade-old blast pandemic lineage can be controlled by the Rmg8 disease resistance gene and is sensitive to strobilurin fungicides. However, we also highlight the potential of the pandemic clone to evolve fungicide-insensitive variants and sexually recombine with African lineages. This underscores the urgent need for genomic surveillance to track and mitigate the spread of wheat blast outside of South America, and to guide pre-emptive wheat breeding for blast resistance.

Wild grass isolates of Magnaporthe (Syn. Pyricularia) spp. from Germany can cause blast disease on cereal crops

Abstract: Pathogens that cause destructive crop diseases often infect wild host plants. However, surveys of major plant pathogens tend to be skewed towards cultivated crops and often neglect the wild hosts. Here, we report an emerging disease threat generated by the blast fungus Magnaporthe (Syn. Pyricularia) spp. in central Europe. We found that this notoriously devastating plant pathogen infects the wild grasses foxtail millet (Setaria spp.) and crabgrass (Digitaria spp.) in south-western Germany, a region previously deemed unfavorable for blast disease. Using phenotypic characterization and genomic analyses, we determined that the observed disease symptoms are associated with the Setaria spp.-infecting lineage of M. oryzae and its sister species Magnaporthe grisea. We showed that M. oryzae isolates can infect barley and wheat, thus highlighting the risk of pathogen spread to crops. In addition, M. oryzae isolates which co-occur in natural populations display compatible mating types and variable candidate effector gene content, which may enhance the pathogen’s adaptive potential. Our findings stress the risk of blast fungus infections expanding into European cereal crops through migration and host jumps. This underlines the importance for pathogen surveillance not only on cultivated crops, but also on wild host plants. Author Summary Wild plant species are often overlooked during pathogen virulence surveys. However, many of the diseases we observe in crops are a consequence of host jumps from wild to cultivated plant species. This is reminiscent of zoonotic diseases, where host jumps from wild animals to humans result in new disease outbreaks. Here, we report that the notoriously devastating blast fungus Magnaporthe (Syn. Pyricularia) spp. occurs on wild grasses in south-western Germany. This region, which is at the center of the European cereal belt, has so far been viewed as having unfavorable climatic conditions for the blast disease. The newly identified blast fungus isolates have the capacity to infect wheat and barley cultivars, highlighting the risk of the disease spreading to staple cereal crops. In addition, there is potential for sexual recombination in local populations, which may increase the evolutionary potential of the fungus and might facilitate host jumps to cereal crops. Our findings emphasize the urgent need for surveillance of plant diseases on both wild hosts and crops.

SNP calling parameters have minimal impact on population structure and divergence time estimates for the rice blast fungus

Abstract: Objectives Accurate single-nucleotide polymorphisms (SNP) calls are crucial for robust evolutionary and population genetic inferences in genomic analyses. Such inferences can reveal the time-scales and processes associated with the emergence and spread of pandemic plant pathogens, such as the rice blast fungus Magnaporthe oryzae (Syn. Pyricularia oryzae). However, the specificity and sensitivity of SNP calls depend on the filtering parameters applied to the data. Here, we used a benchmarking approach to evaluate the impact of SNP calling on different population genetic analyses of the rice blast fungus, namely genetic clustering, topology of phylogenetic reconstructions and estimation of evolutionary rates. Results To benchmark SNP calling parameters, we generated a gold standard set of validated SNPs by sequencing nine M. oryzae genomes with both Illumina short-reads and Oxford Nanopore Technologies (ONT). We used the gold standard set of SNPs to identify the SNP calling parameter configuration that maximizes sensitivity and specificity. We found that the choice of parameter configurations can substantially change the number of ascertained SNPs, preferentially affecting SNPs segregating at low population frequency. However, SNP calling parameter configurations did not significantly affect the clustering of isolates in clonal lineages, the monophyly of each clonal lineage, and the estimation of evolutionary rates. We leverage the evolutionary rates obtained from each SNP calling parameter configuration to generate divergence time estimates that take into account the uncertainty associated with both the estimation of evolutionary rates and SNP calling. Our analysis indicates that M. oryzae clonal lineage expansions took place ~300 years ago.

Polymorphic Inverted Repeats near coding genes impact chromatin topology and phenotypic traits in Arabidopsis thaliana

Abstract: Transposons are mobile elements that are commonly silenced to protect eukaryotic genome integrity. In plants, transposable elements (TEs) can be activated during stress conditions and subsequently insert into gene-rich regions. TE-derived inverted repeats (IRs) are commonly found near plant genes, where they affect host gene expression with potentially positive effects on adaptation. However, the molecular mechanisms by which these IRs control gene expression is unclear in most cases. Here, we identify in the Arabidopsis thaliana genome hundreds of IRs located near genes that are transcribed by RNA Polymerase II, resulting in the production of 24-nt small RNAs that trigger methylation of the IRs. The expression of these IRs is associated with drastic changes in the local 3D chromatin organization, which alter the expression pattern of the hosting genes. Notably, the presence and structure of many IRs differ between A. thaliana accessions. Capture-C sequencing experiments revealed that such variation changes short-range chromatin interactions, which translates into changes in gene expression patterns. CRISPR/Cas9-mediated disruption of two of such IRs leads to a switch in genome topology and gene expression, with phenotypic consequences. Our data demonstrate that the insertion of an IR near a gene provides an anchor point for chromatin interactions that can profoundly impact the activity of neighboring loci. This turns IRs into powerful evolutionary agents that can contribute to rapid adaptation.

Century-long timelines of herbarium genomes predict plant stomatal response to climate change

Abstract: Dissecting plant responses to the environment is key to understanding if and how plants adapt to anthropogenic climate change. Stomata, plants’ pores for gas exchange, are expected to decrease in density following increased CO2 concentrations, a trend already observed in multiple plant species. However, it is unclear if such responses are based on genetic changes and evolutionary adaptation. Here we make use of extensive knowledge of 43 genes in the stomatal development pathway and newly generated genome information of 191 A. thaliana historical herbarium specimens collected over the last 193 years to directly link genetic variation with climate change. While we find that the essential transcription factors SPCH, MUTE and FAMA, central to stomatal development, are under strong evolutionary constraints, several regulators of stomatal development show signs of local adaptation in contemporary samples from different geographic regions. We then develop a polygenic score based on known effects of gene knock-out on stomatal development that recovers a classic pattern of stomatal density decrease over the last centuries without requiring direct phenotype observation of historical samples. This approach combining historical genomics with functional experimental knowledge could allow further investigations of how different, even in historical samples unmeasurable, cellular plant phenotypes have already responded to climate change through adaptive evolution. One sentence summary Using a molecular-knowledge based genetic phenotype proxy, historical whole-genome A. thaliana timelines compared with contemporary data indicate a shift of stomatal density following climate-associated predictions.