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Primetis, E.

Publications and source records attributed to Primetis, E..

3 recordsLinked to original sources

ATHILAfinder: a tool to detect ATHILA LTR retrotransposons in plant genomes

MotivationThe ATHILA lineage of LTR retrotransposons has colonised all branches of the plant tree of life. In Arabidopsis thaliana and A. lyrata, ATHILA elements have invaded centromeres, influencing the genetic and epigenetic organisation, and driving satellite evolution. To assess the broader significance of ATHILA across plants, a computational pipeline is needed to identify ATHILA elements with high efficiency. Existing tools lack this ability because they are optimised for broad transposon classification at the expense of precise annotation of lower taxonomic levels. ResultsWe present ATHILAfinder, a pipeline for accurate and large-scale discovery of ATHILA elements. ATHILAfinder uses lineage-specific sequence motifs as seeds and additional filters to build de novo intact elements. Homology-based steps rescue intact ATHILA and identify soloLTRs. A detailed identity card includes coordinates, LTR identity, coding capacity, length and other sequence features for every ATHILA. We validate ATHILAfinder in the A. thaliana Col-CEN assembly and five additional Brassicaceae species, covering four supertribes and [~]30 million years of evolution. ATHILAfinder has very low false positive rates and outperforms widely-used tools like EDTA and the deep-learning-based Inpactor2 software for both recovery and precision of ATHILA. To demonstrate its usefulness, we generate insights into ATHILA dynamics across Brassicaceae. OutlookFew computational pipelines target specific transposon lineages, yet such tools can empower their identification and downstream analyses. Our tailored approach can be adapted to other LTR retrotransposon lineages, offering new ways for high-resolution analysis of transposons.

bioinformatics↗

Chromosome-scale Solanum pennellii and Solanum cheesmaniae genome assemblies reveal structural variants, repeat content and recombination barriers of the tomato clade

Crop wild relatives are important resources for improving cultivated crops, yet the precise introgression of wild genetic material into cultivated crops is often difficult and cannot be fully defined without high-quality genome assemblies. Here we used PacBio HiFi, ONT ultra-long and Hi-C sequencing approaches to generate chromosome-scale de novo genome assemblies of two wild species related to the domesticated tomato (Solanum lycopersicum) -- the broadly stress-resistant Solanum pennellii (accession LA0716) and the salt-resistant Solanum cheesmaniae (accession LA1039). K-mer and BUSCO analysis of both assemblies demonstrated above 99% completeness and the improved S. pennellii genome adds 146 Mbp to the 12 chromosomes compared with the original reference. We aligned the new assemblies with seven gold-standard assemblies from the Lycopersicon clade, using Solanum tuberosum as an outgroup, and identified shared and species-specific structural variants. The repeat content of all nine assemblies was characterized, providing evidence for independent explosions of Tekay (gypsy superfamily) retrotransposons in S. pennellii and S. peruvianum. Whole genome sequencing of 709 recombinant plants derived from male and female backcrosses of three different hybrids (S.pennellii, S. cheesemaniae and Solanum lycopersicum cv. Micro-Tom crossed with Solanum lycopersicum cv. Moneyberg-TMV) revealed higher crossover rate in female meiosis. Recombination landscape analysis identified conserved female-enhanced recombination regions, and coldspots that were completely devoid of meiotic crossovers including megabase-scale inversions and insertion-deletion polymorphisms between S. lycopersicum and S. pennellii. In summary, we harnessed our high-quality S. pennellii and S. cheesmaniae genome assemblies to reveal how repeat content diverged in nature and during breeding, and uncovered how reproductive gender interacts with structural variants to dictate the recombination landscape in tomato hybrids.

plant biology↗

Evolutionary Models of Amino Acid Substitutions Based on the Tertiary Structure of their Neighborhoods

Intra-protein residual vicinities depend on the involved amino acids. Energetically favorable vicinities (or interactions) have been preserved during evolution, while unfavorable vicinities have been eliminated. We describe, statistically, the interactions between amino acids using resolved protein structures. Based on the frequency of amino acid interactions, we have devised an amino acid substitution model that implements the following idea: amino acids that have similar neighbors in the protein tertiary structure can replace each other, while substitution is more difficult between amino acids that prefer different spatial neighbors. Using known tertiary structures for -helical membrane (HM) proteins, we build evolutionary substitution matrices. We constructed maximum likelihood phylogenies using our amino acid substitution matrices and compared them to widely-used methods. Our results suggest that amino acid substitutions are associated with the spatial neighborhoods of amino acid residuals, providing, therefore, insights into the amino acid substitution process.

evolutionary biology↗