Belinda Whittle
"The technology has increased the speed for causal gene ID by 10-fold and that’s significant. It’s really been a huge success for us."

Belinda Whittle
Head of Genomics Research, Australian Phenomics Facility (APF)

Belinda Whittle is Head of Genomics Research at the Australian Phenomics Facility (APF) located at the Australian National University in Canberra.


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Can you tell us about the APF?

The APF is a federally funded initiative established in 2004. We are a world leader in using ENU mutagenesis for discovering causative gene linkages between the mammalian genome and phenome. We are developing infrastructure that provides collections of mice with point mutations with the aim of perturbing every gene in the mouse genome. ENU, or Ethylnitrosourea, mutagenesis incorporates random point mutations, genome wide. This allows for the production of a number of genetically unique offspring from a single mutagenised male . These libraries of ENU mutagenised mice are then subjected to phenotypic screens by researchers for their key area of interest. We work with researchers from a diverse range of medical research fields ranging from early development to cancer, who have their own phenotype screen for the mice. When they find a phenovariant with a key difference, we can actually map the mutation that causes that phenotype. This is known as a forward genetics approach rather than the reverse genetics approach of producing a knockout. The ENU strategy is a much faster method and in addition, rather than knocking out the whole gene it might just disrupt a domain of a particular protein, providing a more accurate representation of human conditions. 

How do you use Illumina Sequencing in this service model?

Supported by the Government Education Investment fund (EIF), the APF have developed a Next-Generation Sequencing pipeline for identification of causal mutations in mouse variant strains. Because ENU induces mutations predominantly in coding regions or splice sites, we have designed our pipeline around sequencing the exome rather than the whole genome. Since only human exome capture kits were available at the onset of this project, we collaborated with two companies to produce and test mouse exome kits that we are now running on the Illumina platform. By only sequencing the exome, we can run a lot more samples, approximately 10 times more than with the whole genome.
As the throughput for the HiSeq continues to improve, we're seeing more data come from them, so are starting to fit more exomes on per run, which is lowering costs and allowing higher throughput of samples. Exome sequencing also makes it easier for us to analyze at the end—we don't have as much data to filter through. We have a bioinformatics team that has set up a pipeline for the analysis end. It basically maps the exomes to the reference, calls SNPs and filters them based on whether they change an amino acid, are homozygous or heterozygous, depth of coverage, quality and filters out strain-specific and common SNPs. We offer a full service from DNA extraction, library preparation and exome capture, through to sequencing and bioinformatic analysis. For people who may be hesitant to jump into sequencing because they don't have the support at the back end to analyze the data, we have a full pipeline available and are now offering it as a service.

What effect has Illumina sequencing had on your research?

We have been very happy with the Illumina technology and sequencing instruments. When we started, we chose Illumina because we had access to several machines and we had heard that they were producing quality data. We were not disappointed by the results we initially obtained and hence have continued to use Illumina as our technology of choice for our service. The use of Next-Generation Sequencing has greatly accelerated our ability to produce mouse models for human disease. Prior to next-gen sequencing, we mapped the causal mutations by traditional methods by outcrossing to a second inbred strain and then used a genome wide set of SNP markers to find linkage in the ENU variant strains. We would then Sanger sequence either candidate genes or all genes within the mapped interval. This process would take two to four years, from finding a phenotypic mutant through to identification of the causal gene. With Next Gen Seq it now takes two to four months. So the technology has increased the speed for causal gene ID by 10-fold and that's significant. It's really been a huge success for us.

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