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Biology subjects

Aunin, E.

Publications and source records attributed to Aunin, E..

3 recordsLinked to original sources

The histone code of love: epigenetics of maturation of gonads in the human blood fluke Schistosoma mansoni

Schistosoma mansoni is a parasitic flatworm that has two, genetically determined, sexes. We used aggregated data of 8 posttranslational histone modifications (ChIP-Seq), chromatin accessibility (ATAC-Seq), transcription (RNA-Seq) and genome feature annotations to decipher the histone code of genes involved in the differentiation of schistosome gonads (i.e. female ovaries and male testes). We show schistosome gonads express at least two classes of protein coding genes: H3K4me3-positive genes that display canonical features of eukaryotic protein-coding genes such as peaks of H3K4me3 at the transcription start sites (TSS) and increases in histone acetylation marks towards the transcription end site (TES), but also a non-canonical H3K9/27me3 plateau just upstream of the TSS. H3K4me3 enrichment at the TSS is highly predictive for transcription strength in these genes compared to a second class of protein coding genes (H3K4me3-negative genes) that do not display this pattern and is characterised by absence of the investigated histone marks at TSS and TES. This is indicative of the existence of hitherto unknown, potentially schistosome-specific histone marks in these genes. The absence of H3K4me3 at the TSS is not associated with inducible or stable gene expression in the gonads. Instead, gene ontology analysis indicates that H3K4me3-positive genes are related to functions which typically govern processes such as metabolism or signal transduction while H3K4me3-negative genes are dedicated to cell communication or immune responses. Second, individual histone modifications and their combinations are associated with functional features of the schistosome genome, known as "chromatin colours". In H3K4me3-positive genes, there is clear co-linearity of 3 colours, which strongly suggests a functional role for histone modifications in the control of transcription pre-initiation, promotor release, and transcription termination. Third, there are striking chromatin structure changes during maturation of the gonads in all genomic features including protein-coding and non-protein coding genes as well as repetitive sequences. The nature of these changes is different in both sexes. H3K36me3 and H3K9me3, as well as H3K23ac and H3K9ac show the strongest variations. Last, we show that pharmacological inhibition of histone demethylation activity by IOX1 leads to a concentration-dependent separation ("divorce") of schistosome couples confirming the importance of H3K36/H3K9 methylation for pairing maintenance and indicating histone demethylases as a potential drug target family. Collectively, our findings offer unprecedented insights into histone codes and chromatin dynamics governing the reproductive development of S. mansoni gonads.

developmental biology↗

Characterising genome architectures using Genome Decomposition Analysis

Genome architecture describes how genes and other features are arranged in genomes. These arrangements reflect the evolutionary pressures on genomes and underlie biological processes such as chromosomal segregation and the regulation of gene expression. We present a new tool called Genome Decomposition Analysis (GDA) that characterises genome architectures and acts as an accessible approach for discovering hidden features of a genome assembly. With the imminent deluge of high quality genome assemblies from projects such as the Darwin Tree of Life and the Earth BioGenome Project, GDA has been designed to facilitate their exploration and the discovery of novel genome biology. We highlight the effectiveness of our approach in characterising the genome architectures of single-celled eukaryotic parasites from the phylum Apicomplexa and show that it scales well to large genomes. SignificanceGenome sequencing has revealed that there are functionally important arrangements of genes, repetitive elements and regulatory sequences within chromosomes. Identifying these arrangements requires extensive computation and analysis. Furthermore, improvements in genome sequencing technology and the establishment of consortia aiming to sequence all species of eukaryotes mean that there is a need for high throughput methods for discovering new genome biology. Here we present a software pipeline, named GDA, which determines the patterns of genomic features across chromosomes and uses these to characterise genome architecture. We show that it recapitulates the known genome architecture of several Apicomplexan parasites and use it to identify features in a recently sequenced, less well-characterised genome. GDA scales well to large genomes and is freely available.

genomics↗

Genomic and transcriptomic evidence for descent from Plasmodium and loss of blood schizogony in Hepatocystis parasites from naturally infected red colobus monkeys

Hepatocystis is a genus of single-celled parasites infecting monkeys, bats and squirrels. Although thought to descend from malaria parasites (Plasmodium spp.), Hepatocystis spp. are thought not to undergo replication in the blood - the part of the Plasmodium life cycle which causes the symptoms of malaria. Furthermore, Hepatocystis is transmitted by midges, not mosquitoes. Comparative genomics of Hepatocystis and Plasmodium species therefore presents an opportunity to better understand some of the most important aspects of malaria parasite biology. We were able to generate a draft genome for Hepatocystis using DNA sequencing reads from the blood of a naturally infected red colobus monkey. We provide robust phylogenetic support for Hepatocystis as a sister group to Plasmodium parasites infecting rodents. We show transcriptomic support for a lack of replication in the blood and genomic support for a complete loss of a family of genes involved in red blood cell invasion. Our analyses highlight the rapid evolution of genes involved in parasite vector stages, revealing genes that may be critical for interactions between malaria parasites and mosquitoes.

genomics↗