Normalization of Chromosome Contact Maps: Matrix Balancing and Visualization

HU promotes higher order chromosome organization and influences DNA replication rates in Streptococcus pneumoniae

Nucleoid-associated proteins (NAPs) are crucial for maintaining chromosomal compaction and architecture, and are actively involved in DNA replication, recombination, repair, and gene regulation. In Streptococcus pneumoniae, the role of the highly conserved NAP HU in chromosome conformation has not yet been investigated. Here, we use a multi-scale approach to explore HU's role in chromosome conformation and segregation dynamics. By combining superresolution microscopy and whole-genome-binding analysis, we describe the nucleoid as a dynamic structure where HU binds transiently across the entire nucleoid, with a preference for the origin of replication over the terminus. Reducing cellular HU levels impacts nucleoid maintenance and disrupts nucleoid scaling with cell size, similar to the distortion caused by fluoroquinolones, supporting its requirement for maintaining DNA supercoiling. Furthermore, in cells lacking HU, the replication machinery is misplaced, preventing cells from initiating and proceeding with ongoing replication. Chromosome conformation capture coupled to deep sequencing (Hi-C) revealed that HU is required to maintain cohesion between the two chromosomal arms, similar to the structural maintenance of chromosome complex. Together, we show that by promoting long-range chromosome interactions and supporting the architecture of the domain encompassing the origin, HU is essential for chromosome integrity and the intimately related processes of replication and segregation.

Parasitic plasmids are anchored to inactive regions of eukaryotic chromosomes through a nucleosome signal

Natural plasmids are common in prokaryotes, but few have been documented in eukaryotes. The natural 2µ plasmid present in the yeast Saccharomyces cerevisiae is one of these best-characterized exceptions. This highly stable genetic element has coexisted with its host for millions of years, faithfully segregating at each cell division through a mechanism that remains unclear. Using proximity ligation methods (such as Hi-C, Micro-C) to map the contacts between 2µ plasmid and yeast chromosomes under dozens of different biological conditions, we found that the plasmid is tethered preferentially to regions with low transcriptional activity, often corresponding to long, inactive genes. These contacts do not depend on common chromosome-structuring factors, such as members of the structural maintenance of chromosome complexes (SMC) but depend on a nucleosome-encoded signal associated with RNA Pol II depletion. They appear stable throughout the cell cycle and can be established within minutes. This chromosome hitchhiking strategy may extend beyond the 2µ plasmid/S. cerevisiae pair, as suggested by the binding pattern of the natural eukaryotic plasmid Ddp5 along silent chromosome regions of the amoeba Dictyostelium discoideum.

Absence of chromosome axis protein recruitment prevents meiotic recombination chromosome-wide in the budding yeast Lachancea kluyveri

Meiotic recombination shows broad variations across species and along chromosomes and is often suppressed at and around genomic regions determining sexual compatibility such as mating type loci in fungi. Here, we show that the absence of Spo11-DSBs and meiotic recombination on Lakl0C-left, the chromosome arm containing the sex locus of the Lachancea kluyveri budding yeast, results from the absence of recruitment of the two chromosome axis proteins Red1 and Hop1, essential for proper Spo11-DSBs formation. Furthermore, cytological observation of spread pachytene meiotic chromosomes reveals that Lakl0C-left does not undergo synapsis. However, we show that the behavior of Lakl0C-left is independent of its particularly early replication timing and is not accompanied by any peculiar chromosome structure as detectable by Hi-C in this yet poorly studied yeast. Finally, we observed an accumulation of heterozygous mutations on Lakl0C-left and a sexual dimorphism of the haploid meiotic offspring, supporting a direct effect of this absence of meiotic recombination on L. kluyveri genome evolution and fitness. Because suppression of meiotic recombination on sex chromosomes is widely observed across eukaryotes, the mechanism for recombination suppression described here may apply to other species, with the potential to impact sex chromosome evolution.

Transcription-induced domains form the elementary constraining building blocks of bacterial chromosomes

Transcription generates local topological and mechanical constraints on the DNA fiber, leading to the generation of supercoiled chromosome domains in bacteria. However, the global impact of transcription on chromosome organization remains elusive, as the scale of genes and operons in bacteria remains well below the resolution of chromosomal contact maps generated using Hi-C (~5-10 kb). Here we combined sub-kb Hi-C contact maps and chromosome engineering to visualize individual transcriptional units. We show that transcriptional units form discrete three-dimensional transcription-induced domains that impose mechanical and topological constraints on their neighboring sequences at larger scales, modifying their localization and dynamics. These results show that transcriptional domains constitute primary building blocks of bacterial chromosome folding and locally impose structural and dynamic constraints.

Orchestrating chromosome conformation capture analysis with Bioconductor

Genome-wide chromatin conformation capture assays provide formidable insights into the spatial organization of genomes. However, due to the complexity of the data structure, their integration in multi-omics workflows remains challenging. We present data structures, computational methods and visualization tools available in Bioconductor to investigate Hi-C, micro-C and other 3C-related data, in R. An online book ( https://bioconductor.org/books/OHCA/ ) further provides prospective end users with a number of workflows to process, import, analyze and visualize any type of chromosome conformation capture data.

Techniques for and challenges in reconstructing 3D genome structures from 2D chromosome conformation capture data

Chromosome conformation capture technologies that provide frequency information for contacts between genomic regions have been crucial for increasing our understanding of genome folding and regulation. However, such data do not provide direct evidence of the spatial 3D organization of chromatin. In this opinion article, we discuss the development and application of computational methods to reconstruct chromatin 3D structures from experimental 2D contact data, highlighting how such modeling provides biological insights and can suggest mechanisms anchored to experimental data. By applying different reconstruction methods to the same contact data, we illustrate some state-of-the-art of these techniques and discuss our gene resolution approach based on Brownian dynamics and Monte Carlo sampling.