Search bioRxiv⌕ Search

Biology subjects

Cock, M.

Publications and source records attributed to Cock, M..

2 recordsLinked to original sources

Identification of novel H2A histone variants across diverse clades of algae

Histones are recognized as one of the most conserved proteins across eukaryotes. They not only ensure DNA compaction in the nucleus but also participate in epigenetic regulation of genome expression. These key epigenetic players are divided into canonical histones, expressed during the S-phase, and variants, expressed throughout the cell cycle. Compared with other core histones, H2A proteins exhibit a high level of variability but the characterization of algal H2A variants remains very limited. In this study, we exploited genome data from 21 species to perform a phylogenetic analysis of brown seaweeds. We identified new H2A variants that are specific to the Phaeophyceae and closely-related sister group species. For each identified H2A protein, we characterized motifs present in the histone fold domain as well as in the N- and C-terminal tails. This approach enabled us to classify the different isoforms and to identify three new variants (H2A.N, H2A.O and H2A.E). Based on mass spectrometry and RNA-Seq data, we identified distinct epigenetics marks and specific expression patterns of the H2A variants in both vegetative and reproductive tissues as well as in response to various environmental conditions. These analyses identified sperm-specific variants and inferred putative roles for the newly discovered variants.

evolutionary biology↗

Chromosome-level quality scaffolding of brown algal genomes using InstaGRAAL, a proximity ligation-based scaffolder

Hi-C has become a popular technique in recent genome assembly projects. Hi-C exploits contact frequencies between pairs of loci to bridge and order contigs in draft genomes, resulting in chromosome-level assemblies. However, application of this approach is currently hampered by a lack of robust programs that are capable of effectively treating this type of data, particularly open source programs. We developed instaGRAAL, a complete overhaul of the GRAAL program, which has adapted the latter to allow efficient assembly of large genomes. Both GRAAL, and instaGRAAL use a Markov Chain Monte Carlo algorithm to perform Hi-C scaffolding, but instaGRAAL features a number of improvements including a modular polishing approach that optionally integrates independent data. To validate the program, we used it to generate chromosome-level assemblies for two brown algae, Desmarestia herbacea and the model Ectocarpus sp., and quantified improvements compared to the initial draft for the latter. Overall, instaGRAAL is a program able to generate, using default parameters with minimal human intervention, near-complete assemblies.

genomics↗