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Baudry, L.

Publications and source records attributed to Baudry, L..

3 recordsLinked to original sources

Chromosomal resolution reveals symbiotic virus colonization of parasitic wasp genomes

Most endogenous viruses, an important proportion of eukaryote genomes, are doomed to slowly decay. Little is known, however, on how they evolve when they confer a benefit to their host. Bracoviruses are essential for the parasitism success of parasitoid wasps, whose genomes they integrated ~103 million years ago. Here we show, from the assembly of a parasitoid wasp genome, for the first time at a chromosomal scale, that symbiotic bracovirus genes spread to and colonized all the chromosomes. Moreover, large viral clusters are stably maintained suggesting strong evolutionary constraints. Genomic comparison with another wasps revealed that this organization was already established ~53 mya. Transcriptomic analyses highlight temporal synchronization of viral gene expression, leading to particle production. Immune genes are not induced, however, indicating the virus is not perceived as foreign by the wasp. This recognition suggests that no conflicts remain between symbiotic partners when benefits to them converge.

genomics

Chromosight: A computer vision program for pattern detection in chromosome contact maps

Chromosomes of all species studied so far display a variety of higher order organizational features such as domains or loops often associated to biological functions and visible on Hi-C contact maps. We developed Chromosight, an algorithm inspired from computer vision that can detect patterns in Hi-C maps. Chromosight has greater sensitivity than existing methods, while being faster and applicable to any type of genomes, including bacteria, viruses, yeasts and mammals. Code and documentation: https://github.com/koszullab/chromosight

bioinformatics

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