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Voichek, Y.

Publications and source records attributed to Voichek, Y..

7 recordsLinked to original sources

k-mer-based GWAS in a wheat collection reveals novel and diverse sources of powdery mildew resistance

BackgroundWheat landraces and cultivars stored in gene banks worldwide represent a valuable source of genetic diversity for discovering genes critical for agriculture, which is increasingly constrained by climate change and inputs reduction. We assembled and genotyped, using DArTseq technology, a panel of 461 accessions representative of the genetic diversity of Swiss wheat material. The collection was evaluated for powdery mildew resistance under field conditions for two consecutive years and at the seedling stage with 10 different wheat powdery mildew isolates. ResultsTo identify the genetic basis of mildew resistance in wheat, we developed a k-mer-based GWAS approach using multiple fully-assembled genomes including Triticum aestivum as well as four progenitor genomes. Compared to approaches based on single reference genomes, we unambiguously mapped an additional 25% resistance-associated k-mers. Our approach outperformed SNP-based GWAS in terms of number of loci identified and precision of mapping. In total, we detected 34 (Pm) powdery mildew resistance loci, including seven previously-described and more importantly 27 novel loci active at the seedling stage. Furthermore, we identified a region associated with adult plant resistance, which was not detected with SNP-based approaches. ConclusionsThe described non-reference-based approach highlights the potential of integrating multiple wheat reference genomes with k-mer GWAS to harness the untapped genetic diversity present in germplasm collections.

genomics↗

Metabolic enzymes moonlight as selective autophagy receptors to protect plants against viral-induced cellular damage

AbstractRNA viruses co-opt the host endomembrane system and organelles to build replication complexes for infection. How the host responds to these membrane perturbations is poorly understood. Here, we explore the autophagic response of Arabidopsis thaliana to three viruses that hijack different cellular compartments. Autophagy is significantly induced within systemically infected tissues, its disruption rendering plants highly sensitive to infection. Contrary to being an antiviral defense mechanism as previously suggested, quantitative analyses of the viral loads established autophagy as a tolerance pathway. Further analysis of one of these viruses, the Turnip Crinkle Virus (TCV) that hijack mitochondria, showed that despite perturbing mitochondrial integrity, TCV does not trigger a typical mitophagy response. Instead, TCV and Turnip yellow mosaic virus (TYMV) infection activates a distinct selective autophagy mechanism, where oligomeric metabolic enzymes moonlight as selective autophagy receptors and degrade key executors of defense and cell death such as EDS1. Altogether, our study reveals an autophagy-regulated metabolic rheostat that gauges cellular integrity during viral infection and degrades cell death executors to avoid catastrophic amplification of immune signaling.

plant biology↗

Widespread transcriptional regulation from within transcribed regions in plants

Much of what we know about eukaryotic transcription stems from animals and yeast, however, plants have evolved separately for 1.6 billion years, leaving ample time for divergence in transcriptional regulation. Here, we set out to elucidate fundamental properties of cis-regulatory sequences in plants. Using massively parallel reporter assays across four plant species, we demonstrate the central role of sequences downstream of the transcription start site (TSS) in transcriptional regulation. Unlike animal enhancers that are position-independent, plant regulatory elements depend on their position, as altering their location relative to the TSS significantly affects transcription. We highlight the importance of the region downstream of the TSS in regulating transcription by identifying a DNA motif that is conserved across vascular plants and is sufficient to enhance gene expression in a dose-dependent manner. The identification of a large number of position-dependent enhancers points to fundamental differences in gene regulation between plants and animals.

systems biology↗

Cell-cycle status of male and female gametes during Arabidopsis reproduction

Fertilization in Arabidopsis thaliana is a highly coordinated process that begins with a pollen tube delivering the two sperm cells into the embryo sac. Each sperm cell can then fertilize either the egg or the central cell to initiate embryo or endosperm development, respectively. The success of this double fertilization process requires a tight cell cycle synchrony between the male and female gametes to allow karyogamy (nuclei fusion). However, the cell cycle status of the male and female gametes during fertilization still remains elusive as DNA quantification and DNA replication assays have given conflicting results1-4. Here, to reconcile these results, we quantified the DNA replication state by DNA sequencing and performed microscopic analyses of fluorescent markers covering all the phases of the cell cycle. We show that male and female gametes in Arabidopsis are both arrested prior to DNA replication at maturity and initiate their DNA replication only during fertilization.

plant biology↗

Standing genetic variation fuels rapid evolution of herbicide resistance in blackgrass

Repeated herbicide applications exert enormous selection on blackgrass (Alopecurus myosuroides), a major weed in cereal crops of the temperate climate zone including Europe. This inadvertent large-scale experiment gives us the opportunity to look into the underlying genetic mechanisms and evolutionary processes of rapid adaptation, which can occur both through mutations in the direct targets of herbicides and through changes in other, often metabolic, pathways, known as non-target-site resistance. How much either type of adaptation relies on de novo mutations versus pre-existing standing variation is important for developing strategies to manage herbicide resistance. We generated a chromosome-level reference genome for A. myosuroides for population genomic studies of herbicide resistance and genome-wide diversity across Europe in this species. Bulked-segregant analysis evidenced that non-target-site resistance has a complex genetic architecture. Through empirical data and simulations, we showed that, despite its simple genetics, target-site resistance mainly results from standing genetic variation, with only a minor role for de novo mutations.

evolutionary biology↗

Finding genetic variants in plants without complete genomes

Structural variants and presence/absence polymorphisms are common in plant genomes, yet they are routinely overlooked in genome-wide association studies (GWAS). Here, we expand the genetic variants detected in GWAS to include major deletions, insertions, and rearrangements. We first use raw sequencing data directly to derive short sequences, k-mers, that mark a broad range of polymorphisms independently of a reference genome. We then link k-mers associated with phenotypes to specific genomic regions. Using this approach, we re-analyzed 2,000 traits measured in Arabidopsis thaliana, tomato, and maize populations. Associations identified with k-mers recapitulate those found with single-nucleotide polymorphisms (SNPs), however, with stronger statistical support. Moreover, we identified new associations with structural variants and with regions missing from reference genomes. Our results demonstrate the power of performing GWAS before linking sequence reads to specific genomic regions, which allow detection of a wider range of genetic variants responsible for phenotypic variation.

plant biology↗

Optimizing gene expression by adapting splicing

Can splicing be used by cells to adapt to new environmental challenges? While various adaptation mechanisms for regulating gene expression have been revealed for transcription and translation, the role of splicing and how it evolves to optimize gene-expression patterns has not been thoroughly investigated. To tackle this question, we employed a lab-evolution experimental approach that challenged yeast cells to increase expression levels of a gene that carries an inefficiently-spliced intron. We followed the evolution of multiple lines and found independent routes by which cells adapted. Surprisingly, we did not observe an intron loss event, a mechanism believed to be common in intron evolution. Instead, we identified mutations in cis that improved the introns splicing efficiency and increased the overall expression level of the entire gene. One of these cis-acting mutations occurred in an adjacent exon and hampered the functionality of the gene that was not under selection - demonstrating that adaptation of splicing efficiency may sometimes come at the expense of protein activity. Additionally, we observed adaptations in trans, which increased the cellular availability of the splicing machinery. These adaptations were achieved either by elevated expression levels of the splicing apparatus or, unexpectedly, by reduced expression levels of other intron-containing genes that are the natural consumers of this process. Ultimately, our work reveals novel molecular means by which the splicing machinery is changed by natural selection to optimize gene-expression patterns of cells.

evolutionary biology↗