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Annual Scientific Report 2015

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Vertebrate Genomics Research<br />

The most important result in our research into the<br />

evolution of transcriptional regulation was a study<br />

in collaboration with Duncan Odom’s group at the<br />

University of Cambridge, jointly led by postdoctoral<br />

fellow Camille Berthelot. We mapped and analysed the<br />

evolution of genomic promoter and enhancer elements<br />

across 20 mammalian species, including whale and<br />

dolphin, to produce the most comprehensive view of<br />

shared and lineage-specific promoter and enhancer<br />

elements in the mammalian lineage. We found that<br />

approximately half of all enhancers active in liver tissue<br />

of any of our 20 assayed species are not found in any of<br />

the other 19 species, but that these ‘recently evolved’<br />

enhancers tend to be exacted from ancestral DNA<br />

sequences shared across mammals. We also found that<br />

approximately 16% of active liver promoters and 1% of<br />

active liver enhancers are shared across the species, and<br />

that promoters have certain evolutionary characteristics<br />

similar to protein-coding genes.<br />

We gained new insights into the role of cohesin in<br />

genome regulation in the context of a collaboration<br />

with the Merkenschlager group at Imperial College<br />

London and with former PhD student Andre Faure,<br />

now postdoctoral fellow at the CRG in Barcelona.<br />

EMBO Postdoctoral Fellow Emily Wong contributed to<br />

a study led by the Spector group at Cold Spring Harbor<br />

Laboratory in the US, investigating chromatin changes<br />

in response to a large genomic deletion.<br />

Our research with the Spector group and the Marioni<br />

group at EMBL-EBI showed that random monoallelic<br />

gene expression, which refers to the transcription of<br />

a gene from one of two homologous alleles, increases<br />

upon embryonic stem-cell differentiation. These<br />

results support a model in which random monoallelic<br />

expression occurs stochastically during differentiation<br />

and, for some genes, is compensated for by the cell<br />

to maintain the required transcriptional output of<br />

these genes.<br />

Future plans<br />

In 2016 we will continue to expand the functionality and<br />

capacity of the Ensembl project, making our datasets<br />

more useful and stable to support reproducible genome<br />

interpretation. We will release new methods and tools<br />

for scaling up to accommodate ever-larger datasets<br />

and numbers of genomes. Using data from the Google<br />

Analytics Event Tracking feature, we will improve the<br />

Ensembl website experience for both first-time visitors<br />

and experienced users. We will expand our outreach<br />

and training, and continue to engage with researchers<br />

on diverse online and in-person platforms. We will<br />

grow and our major data resources, for example with<br />

new human populations for the IGSR including those<br />

Paul Flicek<br />

Genes, Genomes and<br />

Variation Resources<br />

DSc Washington University, 2004. Honorary<br />

Faculty Member, Wellcome Trust Sanger Institute<br />

since 2008. At EMBL-EBI since 2005.<br />

Team Leader at EMBL-EBI since 2007, Senior<br />

Scientist since 2011.<br />

from the Human Genome Diversity Project, new search<br />

interfaces for HipSci and the first release of FAANG<br />

data. In terms of GWAS, we will increase the depth<br />

of gene-mapping information to all available genes<br />

for each variant provided. To identify and display all<br />

known variants in the GWAS catalog that co-segregate<br />

with a variant of interest, we will integrate all linkage<br />

disequilibrium information.<br />

We will build on our studies of closely related mouse<br />

species, continuing to investigate the function,<br />

inheritance and evolution of the intensity of the<br />

ChIP-seq signal (i.e. binding intensity). These<br />

studies must be performed using a higher number of<br />

experimental replicates than is standard to achieve an<br />

effective analysis. We will investigate whether ChIP-seq<br />

datasets could be used to uncover mitochondrial<br />

heteroplasmy. We will work on a comparative<br />

benchmark study between the primate and murine<br />

clades, leveraging genomes from the Mus genus.<br />

Selected publications<br />

1000 Genomes Project Consortium et al. (<strong>2015</strong>) A global<br />

reference for human genetic variation. Nature 526:68-74<br />

Andersson L, et al. (<strong>2015</strong>) Coordinated international<br />

action to accelerate genome-to-phenome with FAANG,<br />

the Functional Annotation of Animal Genomes project.<br />

Genome Biol. 16:57<br />

Ing-Simmons E, et al. (<strong>2015</strong>) Spatial enhancer clustering<br />

and regulation of enhancer-proximal genes by cohesin.<br />

Genome Res. 25:504-513<br />

Kulis M, et al. (<strong>2015</strong>) Whole-genome fingerprint of the<br />

DNA methylome during human B cell differentiation.<br />

Nature Genetics 47:746–756<br />

Villar D, et al. (<strong>2015</strong>) Enhancer evolution across 20<br />

mammalian species. Cell 160:554-566<br />

Zepeda-Mendoza CJ, et al. (<strong>2015</strong>) Quantitative analysis<br />

of chromatin interaction changes upon a 4.3 Mb deletion<br />

at mouse 4E2. BMC Genomics 16:982<br />

<strong>2015</strong> EMBL-EBI <strong>Annual</strong> <strong>Scientific</strong> <strong>Report</strong> 84

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