Impact of de novo transposition on the Drosophila melanogaster genome: effects on the 3D nuclear architecture and telomere dynamics
Ryan William Pellow
University of Iowa
Doctor of Philosophy (PhD), University of Iowa
Summer 2024
DOI: 10.25820/etd.007670
Files and links (1)
pdf
Pellow_uiowa_0096D_18781-o11.81 MB
Embargoed Access, Embargo ends: 08/30/2026
Abstract
Over the course of hundreds of millions of years, eukaryotes have evolved coordinated multiscale structures including loops, topologically associating domains (TADs), and higher-order chromosome territories to optimize the folding of their genomes in the three-dimensional space of nuclei. The caveat is that these complex structures must maintain biological processes (e.g., transcription and replication) in a manner that safeguards developmental and tissue-specific programs as well as specialized chromosomal structures including telomeres. All the while, genomes must remain resilient to genomic perturbations such as transposons. Aberrations in this undertaking underlie diseases, aging, and cancer. Therefore, there is a critical need to characterize the dynamic interplay between transposons, telomeres, and the 3D nuclear architecture.
Current methodologies to infer 3D nuclear organization are limited because they produce different outcomes depending on the resolution of the analysis and sequencing depth, qualitative results that lack insight into the frequency of TAD structures, and do not directly infer hierarchical structures that can exist in a collection of cells. To address these challenges, I have developed WaveTAD, a wavelet transform-based method that describes the 3D nuclear organization in a probabilistic, resolution-free, and hierarchical manner. I show that the probabilities generated by WaveTAD capture the variable frequency of structures across genomes and between samples. Applying this method to Drosophila, mouse and human datasets revealed new biological insights into the establishment of embryonic 3D organization before zygotic genome activation, the multiplicative effects of multiple CTCF binding sites on loop dynamics, the associations between gene expression and TAD structures in COVID-19 patients, and sex-specific transcription in Drosophila.
Further applications of WaveTAD sought to investigate the synergistic interactions that govern the 3D nuclear architecture. By combining machine learning and topological data analysis techniques, I characterized how the epigenetic landscape of architectural proteins, accessory proteins, and histone marks contribute to the diverse TAD structures and variable TAD stability. I observe that the chromosomal region responsible for dosage compensation produces strong TADs independent of transcription. Moreover, I find that chromosomal areas of active transcription maintain stronger and larger TAD structures compared to their heterochromatin counterparts, which are gene poor and mostly transcriptionally silent genomic regions. Finally, I identify specialized subsets of architectural proteins that associate with chromatin loops and establish early in development.
In addition to architectural proteins, transposons shaped the structure and composition of eukaryotic genomes through their unique ability to propagate and move about the genome. The discovery of hybrid dysgenesis in the 1970s and the genomics revolution at the turn of the century thrust transposons into the spotlight as their sequences were shown to provide functional motifs and alter gene regulatory programs. While whole genome assemblies offered the first glimpses into the abundance and distribution of transposons, most of these elements present in natural strains transposed to their current locations hundreds of thousands of years ago. Thus, the dynamics and consequences of de novo transposition events is largely unknown. To overcome this gap in knowledge, I generated long-term mutation accumulation (MA) lines from different isogenic strains of Drosophila melanogaster. Over the course of 80 generations, I performed DNA-seq (both Illumina short-read and Nanopore ultra-long read), total RNA-seq, and Hi-C. My results reveal a rate of 0.275 transpositions per generation per genome, that transposition occurs randomly across the genome, and that while a fraction of transposons disrupt transcription and TAD boundaries, the functional genome is surprisingly robust.
Additionally, the MA lines allowed us to rigorously study the generational dynamics of D. melanogaster telomeres. Almost all eukaryotes maintain the ends of their chromosomes using telomerase, which counteracts the degeneration of telomere sequences after each replication by adding short repeats to the ends of the telomeres. Notably, D. melanogaster has lost this mechanism and instead maintains telomere integrity through the domestication of three telomere-specific non-LTR retrotransposons; Het-A, TART, and TAHRE, collectively known as HTTs. This model proposes that HTTs periodically transpose to the end of telomeres at a rate that counteracts the estimated 50-100bp that are terminally deleted per generation per telomere. While this proposed model explains the rapid evolution and diversification of telomeres across Drosophila species, knowledge concerning the structure and dynamics of HTTs is limited. By compounding the sequences of MA lines with additional Nanopore ultra-long sequencing of natural strains, I rigorously annotated the structural variation of telomeres. I find telomeres to be highly variable between chromosomes, individuals, and populations, to the point that no structural characteristics can segregate populations. In addition to observing canonical telomere elongation events, I identify many non-canonical elongation events including recombination events involving the HTT arrays, recombination that translocates genes to the ends of telomeres, a telomere fusion event, and instances of non-HTTs transposons transposing into the HTT arrays. Finally, I identify full copy HTTs nested within the pericentromeric regions of autosomal chromosomes and highlight the structural instability of these regions.
Genetics 3D Nuclear Organization Drosophila Functional Genomics Structural Genomics Telomeres Transposable Elements
Details
Title: Subtitle
Impact of de novo transposition on the Drosophila melanogaster genome: effects on the 3D nuclear architecture and telomere dynamics
Creators
Ryan William Pellow
Contributors
Josep Comeron (Advisor)
Ana Llopart (Committee Member)
Anna Malkova (Committee Member)
Veena Prahlad (Committee Member)
Lori Wallrath (Committee Member)
Resource Type
Dissertation
Degree Awarded
Doctor of Philosophy (PhD), University of Iowa
Degree in
Integrated Biology
Date degree season
Summer 2024
Publisher
University of Iowa
DOI
10.25820/etd.007670
Number of pages
xviii, 249 pages
Copyright
Copyright 2024 Ryan William Pellow
Comment
This thesis has been optimized for improved web viewing. If you require the original version, contact the University Archives at the University of Iowa: https://www.lib.uiowa.edu/sc/contact/
Language
English
Date submitted
07/23/2024
Description illustrations
Illustrations, tables, graphs, charts
Description bibliographic
Includes bibliographical references.
Public Abstract (ETD)
Human cells package meters of DNA into a micron-sized nuclei through a series of specific looping structures while still preserving biological functions. Impinging on this process is the complexity and structure of the human genome. For example, the human genome has constantly been invaded by selfish elements called transposons. Transposons are fragments of DNA that regularly propagate and change locations throughout the genome to the point that over half the human genome is composed of these elements. Adding to the complexity, each human chromosome is capped by specialized DNA and protein structures called telomeres. How cells achieve a state of compressed genome, repressed transposons, and protected telomeres remains poorly understood. Errors in any of these processes have consequential impacts on human health including effects on diseases, aging, and cancer. My research fills in the gaps with genomic studies and the development of a novel computational algorithm that was used to quantify the 3D spatial organization of the fruit fly, mouse, and human genomes. These advances provide novel biological insights into the causes and consequences of 3D nuclear organization. Using fruit flies as a model system I tracked the dynamics of transposons and telomeres over many generations. To add context and capture natural variation, I also analyzed populations from around the world. By doing so I was able to quantify the rates of change, the influence on the genome structure, and the non-canonical mechanisms of regulation of these foundational components of genomes.