Back

In-cell structure and snapshots of copia retrotransposons in intact tissue by cryo-electron tomography

Klumpe, S.; Senti, K. A.; Beck, F.; Sachweh, J.; Hampoelz, B.; Ronchi, P.; Yeroslaviz, A.; Briggs, J.; Brennecke, J.; Beck, M.; Plitzko, J. M.

2024-02-22 biophysics
10.1101/2024.02.21.581285 bioRxiv
Show abstract

Long terminal repeat (LTR) retrotransposons belong to the transposable elements (TE), autonomously replicating genetic elements that integrate into the hosts genome. LTR retrotransposons represent a major component of genomes across the tree of life; some derived sequences have even been domesticated by the host to perform cellular functions in essential processes such as development. Among animals, Drosophila melanogaster serves as an important model organism for TE research, harboring several LTR retrotransposons, including the Ty1-copia family, which is evolutionarily related to retroviruses and forms virus-like particles (VLPs). The architectural organization of copia VLPs in situ has remained unknown. In this study, we use cryo-FIB milling and lift-out approaches to visualize copia VLPs in isolated ovarian cells and intact egg chambers and resolve the in situ copia capsid structure to 7.7 [A] resolution by cryo-ET. While cytosolic copia VLPs vary in size, nuclear VLPs are homogenous and form densely packed clusters, supporting a model in which nuclear import acts as a size selector. By analyzing flies deficient in the TE-suppressing PIWI-piRNA pathway, we observe a change in copia localization from cytosolic to nuclear during spermatogenesis in testes. Our findings provide insights into the cellular structural biology of an active LTR retrotransposon and shed light on the replication cycle of copia in the context of host gametogenesis.

Matching journals

The top 4 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.