DARTS: An Algorithm for Domain-Associated Retrotransposon Search in Genome Assemblies

MegaLTR: a web server and standalone pipeline for detecting and annotating LTR-retrotransposons in plant genomes

LTR-retrotransposons (LTR-RTs) are a class of RNA-replicating transposon elements (TEs) that can alter genome structure and function by moving positions, repositioning genes, shifting exons, and causing chromosomal rearrangements. LTR-RTs are widespread in many plant genomes and constitute a significant portion of the genome. Their movement and activity in eukaryotic genomes can provide insight into genome evolution and gene function, especially when LTR-RTs are located near or within genes. Building the redundant and non-redundant LTR-RTs libraries and their annotations for species lacking this resource requires extensive bioinformatics pipelines and expensive computing power to analyze large amounts of genomic data. This increases the need for online services that provide computational resources with minimal overhead and maximum efficiency. Here, we present MegaLTR as a web server and standalone pipeline that detects intact LTR-RTs at the whole-genome level and integrates multiple tools for structure-based, homologybased, and de novo identification, classification, annotation, insertion time determination, and LTR-RT gene chimera analysis. MegaLTR also provides statistical analysis and visualization with multiple tools and can be used to accelerate plant species discovery and assist breeding programs in their efforts to improve genomic resources. We hope that the development of online services such as MegaLTR, which can analyze large amounts of genomic data, will become increasingly important for the automated detection and annotation of LTR-RT elements.

Origin and Evolution of Plant Long Terminal Repeat Retrotransposons with Additional Ribonuclease H

Retroviruses originated from long terminal repeat retrotransposons (LTR-RTs) through several structural adaptations. One such modification was the arrangement of an additional ribonuclease H (aRH) domain next to native RH, followed by degradation and subfunctionalization of the latter. We previously showed that this retrovirus-like structure independently evolved in Tat LTR-RTs in flowering plants, proposing its origin from sequential rearrangements of ancestral Tat structures identified in lycophytes and conifers. However, most nonflowering plant genome assemblies were not available at that time, therefore masking the history of aRH acquisition by Tat and challenging our hypothesis. Here, we revisited Tat's evolution scenario upon the aRH acquisition by covering most of the extant plant phyla. We show that Tat evolved and obtained aRH in an ancestor of land plants. Importantly, we found the retrovirus-like structure in clubmosses, hornworts, ferns, and gymnosperms, suggesting its ancient origin, broad propagation, and yet-to-be-understood benefit for the LTR-RTs' adaptation.

Genome assembly of the acoel flatworm Symsagittifera roscoffensis, a model for research on body plan evolution and photosymbiosis

Symsagittifera roscoffensis is a well-known member of the order Acoela that lives in symbiosis with the algae Tetraselmis convolutae during its adult stage. Its natural habitat is the eastern coast of the Atlantic, where at specific locations thousands of individuals can be found, mostly, lying in large pools on the surface of sand at low tide. As a member of the Acoela it has been thought as a proxy for ancestral bilaterian animals; however, its phylogenetic position remains still debated. In order to understand the basic structural characteristics of the acoel genome, we sequenced and assembled the genome of aposymbiotic species S. roscoffensis. The size of this genome was measured to be in the range of 910-940 Mb. Sequencing of the genome was performed using PacBio Hi-Fi technology. Hi-C and RNA-seq data were also generated to scaffold and annotate it. The resulting assembly is 1.1 Gb large (covering 118% of the estimated genome size) and highly continuous, with N50 scaffold size of 1.04 Mb. The repetitive fraction of the genome is 61%, of which 85% (half of the genome) are LTR retrotransposons. Genome-guided transcriptome assembly identified 34,493 genes, of which 29,351 are protein coding (BUSCO score 97.6%), and 30.2% of genes are spliced leader trans-spliced. The completeness of this genome suggests that it can be used extensively to characterize gene families and conduct accurate phylogenomic reconstructions.

An Overview of Best Practices for Transposable Element Identification, Classification, and Annotation in Eukaryotic Genomes

Transposable elements (TEs) exert an increasingly diverse spectrum of influences on eukaryotic genome structure, function, and evolution. A deluge of genomic, transcriptomic, and proteomic data provides the foundation for turning essentially any non-model eukaryotic species into an emerging model to study any and all aspects of organismal biology, ultimately shaping future directions for biomedical, environmental, and biodiversity research. However, identification and annotation of the mobile genome component still lags behind the standards accepted for host gene annotation. To achieve the objective of providing every genome project with a comprehensive description of its mobilome component in addition to the standard genic and transcriptomic datasets, each step of TE identification, classification, and annotation should be focused on improving TE boundary designation, reducing identification error rates, and providing accurate information on the type and integrity of TE insertions. Here, we offer practical advice for generating TE models in de novo assemblies for non-model organisms, provide step-by-step instructions to guide inexperienced TE annotators through some of the commonly utilized TE analysis pipelines, and entertain suggestions for tool improvement which could be implemented by interested developers.

Methodologies for the De novo Discovery of Transposable Element Families

The discovery and characterization of transposable element (TE) families are crucial tasks in the process of genome annotation. Careful curation of TE libraries for each organism is necessary as each has been exposed to a unique and often complex set of TE families. De novo methods have been developed; however, a fully automated and accurate approach to the development of complete libraries remains elusive. In this review, we cover established methods and recent developments in de novo TE analysis. We also present various methodologies used to assess these tools and discuss opportunities for further advancement of the field.