Influenza Genome Project
The influenza genome sequencing project (IGSP) was initiated in 2005 to investigate influenza evolution by providing a public data set of complete influenza genome sequences from collections of isolates representing diverse temporal, spatial and species distributions. One of NIAIDs primary goals for the project is to dramatically improve the availability of influenza genomic sequence in the public domain. We will sequence the complete genomes of a large collection of human influenza isolates, as well as a select number of avian and other non-human influenza strains important in the evolution of viruses with pandemic potential. The strains will be chosen to represent many subtypes with a wide geographical and chronological distribution. All the data generated will be released to the public domain in accordance with NIAIDs data and reagent sharing and release guidelines.
Director Viral Programs, J.Craig Venter Institute
Virology, J. Craig Venter Institute
There are several questions that need to be answered to better understand the evolution of the influenza virus and help federal and local governments plan responses to inevitable pandemics. These questions include but are not limited to:
- Can next generation deep sequencing technologies be used to better understand the molecular mechanisms central to influenza evolution in response to selection pressures such as: antiviral treatment,emergence in new host species,and pre-existing immunity?
- Are there other influenza strains co-circulating within humans?
- Can the association of genomic sequences with clinical and geographic meta-data reveal genetic determinants responsible for virulence and/or human-to-human transmission?
- What minor populations of virus are present but poorly detected during a given influenza season?
- Can sequencing of influenza viruses present during one period reveal the ancestral strains of a new outbreak and help explain mechanisms of zoonoses?
- Can sequence data be used to predict widespread emergence of antigenic drift variants and aid in vaccine selection?
- Do changes in the untranslated regions of the genome influence pathogenesis,transmission,or zoonosis?
- How does influenza infection influence the microbiome of the host?
- What are the linkages between genomic RNA segments critical to viral fitness?
- Can deep sequencing of a subset of patient samples based on clinical characteristics identify intra-host variation that could serve as an early warning system for the presence of new viral evolutionary trends?
To better answer these and other questions there is a need to generate complete genome information from viruses currently circulating within and between various reservoirs as well as from historical collections. Given the success of the NIAID/JCVI influenza genome sequencing project (IGSP) we propose to lead genomics efforts with a particular focus on complete genome sequencing and the use of bioinformatics tools developed at JCVI as a part of the IGSP to answer the questions posed above. Furthermore, we recognize the importance of using cutting edge deep-sequencing techniques and select sets of samples, particularly those collected directly from the host based on clinical characteristics to understand evolutionary trends with public health significance.
For information about getting your collection sequenced, please visit NIAIDs Sequencing Request Process page.
Influenza primer sets are available for download here.
May 03, 2013
Rapid Research Response to the 2009 A(H1N1)pdm09 Influenza Pandemic (Revised).
Keitel WA, Piedra PA, et al.|-|-| BMC Research Not ...
Mar 13, 2013
Defining Influenza a Virus Hemagglutinin Antigenic Drift by Sequential Monoclonal Antibody Selection.
Das SR, Hensley SE, et al.|-|-| Cell Host & Microb ...
Dec 01, 2012
Genomic Reassortment of Influenza A Virus In North American Swine, 1998-2011.
Nelson MI, Detmer SE, et al.|-|-| The Journal of G ...
Sep 01, 2012
Decreased Serologic Response In Vaccinated Military Recruits During 2011 Correspond to Genetic Drift In Concurrent Circulating Pandemic A/H1N1 Viruses.
Faix DJ, Hawksworth AW, et al.|-|-| PloS one. 2012 ...