Award details

Development and applications for long read sequencing in the Midlands

Reference	BB/R000492/1
Principal Investigator / Supervisor	Professor Matthew Loose
Co-Investigators / Co-Supervisors	Professor Thorsten Allers, Professor John Armour, Dr Robert Atterbury, Professor Simon Avery, Professor John Brameld, Dr William Brown, Dr Angus Davison, Dr Mathew Diggle, Professor Paul Dyer, Professor Richard Emes, Professor Andrew Johnson, Professor Kevin Morgan, Professor Tim Parr, Professor Graham Seymour, Professor Renee Sockett, Professor Paul Williams
Institution	University of Nottingham
Department	School of Life Sciences
Funding type	Research
Value (£)	210,143
Status	Completed
Type	Research Grant
Start date	15/08/2017
End date	14/08/2018
Duration	12 months

Abstract

Our goal is to provide the University of Nottingham (UoN) with a high throughput long read nanopore sequencing platform supporting both vertebrate and plant scale projects and massively parallel microbial and clinical infection sequencing. We will invest in the PromethION nanopore sequencer, a platform that in principle we have enormous experience in, alongside a significant storage investment to handle the data generation rates of the sequencer. The PromethION represents the latest generation of Nanopore technology, providing 144,000 sequencing channels at full capacity with theoretical maximum throughput in the Tb range per day. This equipment will enable UoN to support the broadest possible range of long read NGS applications, serving all domains of life from bacteria to plants and vertebrates. Further, the platform can be used to capture DNA modifications alongside basic sequence data and enables novel applications including selective sequencing, whereby DNA molecules can be removed from a population such as human DNA from an infection sample. We will purchase local data storage sufficient to store and process an entire theoretical maximum throughput run of the device, sufficient to handle the yield over the lifetime of the projects proposed here. The compute associated with the PromethION device will be sufficient to enable selective sequencing runs on portions of the device, taking advantage of the flexibility of the platform. The association with the Midlands Sequencing Consortium will extend these approaches to other Universities. DeepSeq's well established track record in supporting sequencing projects within the UK and internationally will ensure the equipment achieves maximal usage. Compatibility of technologies and approaches we are developing with the wider community ensures that projects and tools can be shared with established sequencing centres such as the Earlham Institute.

Summary

Since the advent of sequencing, driven by Frederick Sanger, knowledge of the underlying genetic code of an organism has been a key feature in establishing the mechanisms by which inheritance influences phenotype. The rapid explosion in next generation sequencing technology in the past decade has taken us from huge consortia trying to determine the sequence of a single human genome to individuals being able to sequence their own genomes for close to $1,000. Alongside the sequencing of the genomic DNA it is also possible to sequence the transcriptome (genes expressed in a cell or tissue) or investigate modifications to the bases of DNA that alter the expression of genes. Although the UoN has a range of short read sequencing technologies available and has been at the forefront of developing long read sequencing on the MinION platform, there is a clear gap at the level of high throughput long read generation that is addressed by this proposal. Current short read technologies available at UoN allow sequencing microbial communities, exon sequencing of human scale genomes and resequencing of individual human scale genomes. For long read sequencing, Nottingham has led the development of MinION sequencing, and has the capacity to sequence bacterial genomes on single flow cells. DeepSeq, the University of Nottingham sequencing facility, led by this proposal's PI (Dr Matt Loose), contributed to the sequencing of a reference human genome on multiple MinIONs at a number of locations around the world. We were also the first to demonstrate the ability to selectively sequence molecules using the nanopore platform, a technique which we hope others will be able to exploit on a larger scale in the future. DeepSeq has encouraged others to apply MinION sequencing to their projects, providing training both locally and via the 'porecamp' series of workshops nationally. DeepSeq has also contributed to the development of analysis tools such as minoTour for real time analysis of MinION data. We now wish to extend our knowledge and expertise to significantly higher throughput problems solvable with the increased scale of the PromethION platform. We seek to purchase an Oxford Nanopore PromethION sequencer alongside compute support and significant data storage that will be capable of sequencing up to 48 different samples simultaneously, sequencing single projects at extremely high coverage, or any combination thereof. The flexibility of the PromethION platform is one of its key advantages enabling sequencing at scale or across wide numbers of samples. We, and others, have shown that read length is limited only by the quality of the input DNA. The platform also enables in principle the detection of methylation and modifications to DNA with relatively simple library preparations. NGS technologies are applicable to a wide range of research questions. The long read NGS technologies outlined here will greatly enhance research at the UoN and, by embedding within the regional Midlands Sequencing Consortium, in the Midlands as a whole. The projects cover a broad range of fields including: Bioscience for Health, Food, Nutrition and Health, Agriculture and Food Security, Stem Cell and Developmental Biology, Data Driven Biology, Exploiting New Ways of Working and Synthetic Biology. The development of an enhanced long read NGS facility at the UoN embedded within the regional Midlands Sequencing Consortium will enable the UoN and collaborators to address key biological questions in the above areas which will have a significant impact in science, the economy and society.

Impact Summary

Over the last ten years the scale of sequencing achievable within individual laboratories has shifted from single plasmids to whole genomes. The establishment of long read sequencing at scale is now opening up new possibilities for research that previously available technologies could not address. For example, long read sequencing can be used to resolve structural features in DNA such as long repetitive elements, investigate structural rearrangements and can dramatically reduce the complexity of assembling genomes. Due to the multidisciplinary research areas to which DeepSeq contributes, the main objective for the facility with this new equipment will be to have an impact on research, researchers and industry from the following disciplines: (i) Combatting antimicrobial resistance: by improving the ability of researchers to identify at species level bacterial in a sample, long read sequencing will support a variety of research projects in this key priority area that is relevant both to human health and food security. (ii) Bioscience for Health: the research proposed will have a significant impact in a wide range of industrial and academic sectors where understanding the impact of individual mutations and the interplay between. (iii) Food Security: long read sequencing is essential for characterizing variation occurring within diverse populations of plants and animals. (iv) Stem Cell and Developmental Biology: the new technology at DeepSeq will enable genome, transcriptome and DNA modifications level understanding of the development of specialized cells from stem cells and broader issues associated with vertebrate development. (v) Data Driven Biology and Bioinformatics/Exploiting New Ways of Working: the impact of long read sequencing data on systems biology is dramatic. The research proposed here will address methods to extract meaning from the volume of data generated. (vi) Synthetic Biology: Long read sequencing opens up new possibilities to understand processthat cannot be studied with short read sequencing methods that are more widely available and to develop new resources for cell biology. DeepSeq will also have an impact on: a. Researchers: Through the acquisition of formalized training in NGS technologies. These will include both researchers within the UoN, members of the wider Midlands Sequencing Consortium and further afield. b. The University of Nottingham: Having NextSeq/automated robotics will attract new collaborations to Nottingham especially in areas requiring massively parallel sequencing or human genome scale sequencing. c. The Midlands: Shared resource with compatible sequencing platforms across multiple Midlands Universities including Sheffield, Leicester and Birmingham alongside the M5 grouping. d. The international relationships between Nottingham University and researchers outside the UK through collaborations between Nottingham researchers and the international research community including international companies. The wider public will also benefit in the longer term from the research conducted at DeepSeq through the increased ability of different industrial sectors to respond to their customer needs from the environment, to agriculture and health. The research achievements from DeepSeq and the Midlands Sequencing Consortium will be communicated to a range of audiences via presentations through to discussions and workshops with industry contacts, publications in journals targeting a wide range of audiences and conferences. The research from DeepSeq and its potential will also be communicated to the general public through the annual University of Nottingham public outreach event 'Wonder' and through the 'Nottingham Potential' widening participation activities.

Committee	Not funded via Committee
Research Topics	X – not assigned to a current Research Topic
Research Priority	X – Research Priority information not available
Research Initiative	Advanced Life Sciences Research Technology Initiative (ALERT) [2013-2014]
Funding Scheme	X – not Funded via a specific Funding Scheme

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