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Cseh, A.

Publications and source records attributed to Cseh, A..

2 recordsLinked to original sources

Catcher in the rye: museomics reveals the identity of cereal remains recovered from a late nineteenth century antique furniture

Historical crop remains preserved in everyday objects are an underused archive of agrobiodiversity change, yet their degraded DNA resists conventional analysis. We recovered cereal grains and straws used as upholstery padding in a Central European settee dated to about 1870 to 1900. We identified and characterized the specimen by genome skimming. Damage-aware sequencing confirmed authentic historical DNA of modest, late nineteenth-century age. The assembled plastome placed the specimen securely within rye, and a genome-wide SNP panel of rye landraces resolved it inside cultivated Secale cereale subsp. cereale, closest to a Hungarian bred rye and a Slovak upland landrace and remote from wild or eastern lineages. Screening 192 stress-associated loci recovered the structural machinery of resistance, abiotic stress and aluminum tolerance pathways, while heading-date genotyping showed the Weining earliness allele at Hd2R already present. Divergence across 36 domestication sweep regions concentrated at a few improvement loci. Integrating these genomic signals with genebank passport data and an 1891 newspaper record, we interpret the specimen as a tall Central European rye at the threshold between landrace and improved variety. Historical crop material, read this way, preserves both genomes and the traces of human agricultural practice.

genomics↗

A Multigraph model of the 3D genome

Spatial organisation of the genome has a fundamental effect on its biological functions. Chromatin-chromatin interactions and 3D spatial structures are involved in transcriptional regulation and have a decisive role in DNA replication and repair. To understand how individual genes and their regulatory elements function within the larger genomic context, and how the genome reacts as a whole to environmental stimuli, the linear sequence information needs to be interpreted in 3-dimensional space. While recent advances in chromatin conformation capture technologies including Hi-C, considerably advanced our understanding of the genomes, defining the DNA, as it is organized in the cell nucleus is still a challenging task. 3D genome modelling needs to reflect the DNA as a flexible polymer, which can wind up to the fraction of its total length and greatly unwind and stretch to implement a multitude of functions. Here we propose a novel approach to model genomes as a multigraph based on Hi-C contact data. Multigraph-based 3D genome modelling of barley and rice revealed the well-known Rabl and Rosetta chromatin organizations, respectively, as well as other higher order structures. Our results shows that the well-established toolset of Graph theory is highly valuable in modelling large genomes in 3D.

genomics↗