Presentation is loading. Please wait.

Presentation is loading. Please wait.

Www.fludb.org Sequence Feature Variant Type and Evolutionary Trajectory Analysis using the Influenza Research Database (IRD) 19 July 2011 Richard H. Scheuermann,

Published byNelson Wilkerson Modified over 8 years ago

Similar presentations

Presentation on theme: "Www.fludb.org Sequence Feature Variant Type and Evolutionary Trajectory Analysis using the Influenza Research Database (IRD) 19 July 2011 Richard H. Scheuermann,"— Presentation transcript:

1 www.fludb.org Sequence Feature Variant Type and Evolutionary Trajectory Analysis using the Influenza Research Database (IRD) 19 July 2011 Richard H. Scheuermann, Ph.D. Department of Pathology U.T. Southwestern Medical Center

2 www.fludb.org Outline Brief overview of NIAID-Sponsored Influenza Research Database (IRD) – Comprehensive integrated database – Analysis and visualization tools – U.S. NIH-funded, free access, open to all – Developed by a team of research scientists, bioinformaticians and professional software developers – www.fludb.org www.fludb.org – www.viprbrc.org for other human viral pathogens www.viprbrc.org Novel approach to genotype-phenotype association studies – Sequence Feature Variant Type (SFVT) analysis Evolutionary Trajectory analysis of the pandemic (H1N1) 2009 strain

3 www.fludb.org Public Health Impact of Influenza Seasonal flu epidemics occur yearly during the fall/ winter months and result in 3-5 million cases of severe illness worldwide. More than 200,000 people are hospitalized each year with seasonal flu-related complications in the U.S. Approximately 36,000 deaths occur due to seasonal flu each year in the U.S. Populations at highest risk are children under age 2, adults age 65 and older, and groups with other comorbidities. Pandemics – 1918 Spanish flu (H1N1); 20 - 100 million deaths – 1957 Asian flu (H2N2); 1 - 1.5 million deaths – 1968 Hong Kong flu (H3N2); 750,000 - 1 million deaths – 2009 Swine origin (H1N1); > 16,000 deaths as of March 2010 Source: World Health Organization - http://www.who.int/mediacentre/factsheets/fs211/en/index.html

4 www.fludb.org Influenza Virus Orthomyxoviridae family Negative-strand RNA Segmented Enveloped 8 RNA segments encode 11 proteins Classified based on serology of HA and NA

5 www.fludb.org IRD Overview www.fludb.org

6

7 Search Access to Data www.fludb.org

8 Data Types

9 www.fludb.org Core Query Attributes

10 www.fludb.org Advanced Query Options

11 www.fludb.org Segment search results

12 www.fludb.org Analysis and Visualization www.fludb.org

13 Analysis and Visualization Tools

14 www.fludb.org Workbench Access www.fludb.org

15 My Private Workbench

16 www.fludb.org

17

18

19

20 www.viprbrc.org

21 www.fludb.org IRD Summary Funded by U.S. National Institute of Allergy and Infectious Diseases (NIAID) Free and open access with no use restrictions Developed by a team of research scientists, bioinformaticians and professional software developers Comprehensive collection of public data Novel derived data, novel analytical tools, unique functions Integration – Integration – Integration www.fludb.org www.viprbrc.org

22 www.fludb.org NOVEL APPROACH TO GENOTYPE-PHENOTYPE ASSOCIATION STUDIES – SEQUENCE FEATURE VARIANT TYPE (SFVT) ANALYSIS

23 www.fludb.org Limitations to Phylogenetics Traditional virus phylogenetics focuses on comparative analysis of whole genome/genome segments, and is most useful to understand virus evolution However, the genetic determinants of important viral phenotypes, e.g. virulence, host range, replication efficiency, immune response evation, etc., are determined by focused functional regions of viral proteins Therefore, specific genotype-phenotype association can be masked by other evolutionary factors that contribute to traditional phylogenetic analysis

24 www.fludb.org SFVT approach VT-1I F D R L E T L I L VT-2I F N R L E T L I L VT-3I F D R L E T I V L VT-4L F D Q L E T L V S VT-5I F D R L E N L T L VT-6I F N R L E A L I L VT-7I Y D R L E T L I L VT-8I F D R L E T L V L VT-9I F D R L E N I V L VT-10I F E R L E T L I L VT-11 L F D Q M E T L V S Influenza A_NS1_nuclear-export-signal_137(10) Identify regions of protein/gene with known structural or functional properties – Sequence Features (SF) an alpha-helical region, the binding site for another protein, an enzyme active site, an immune epitope Determine the extent of sequence variation for each SF by defining each unique sequence as a Variant Type (VT) High-level, comprehensive grouping of all virus strains by VT membership for each SF independently Genotype-phenotype association statistical analysis, e.g. genetic determinants of host range, virulence, replication rate Influenza A_NS1_alpha-helix_171(17)

25 www.fludb.org SF definition Based on experimentation reported in the literature and 3D protein structures (PDB records) Captured by manual curation Defined by the specific amino acid positions in the polypeptide chain Annotated with the know structural or functional properties

26 www.fludb.org Influenza A Sequence Features as of 18JUL2011 4128 SFs total

27 www.fludb.org NS1 Sequence Features

28 www.fludb.org SF8 (nuclear export signal)

29 www.fludb.org VT for SF8 (nuclear export signal)

30 www.fludb.org VT-1 strains

31 www.fludb.org DO VARIATIONS IN NS1 SEQUENCE FEATURES INFLUENCE INFLUENZA VIRUS HOST RANGE?

32 www.fludb.org NS1 Sequence Features

33 www.fludb.org VT for SF8 (nuclear export signal)

34 www.fludb.org VT distribution by host

35 www.fludb.org Causes of apparent NS1 VT- associated host range restriction Virus spread - capability + opportunity – Phenotypic property of the virus – limited capacity – Restricted founder effect – limited opportunity Restricted spatial-temporal distribution Sampling bias – assumption of random sampling – Oversampling – avian H5N1 in Asia; 2009 H1N1 – Undersampling – large and domestic cats Linkage to causative variant

36 www.fludb.org VT-11 strains

37 www.fludb.org VT for SF8 (nuclear export signal)

38 www.fludb.org VT lineages

39 www.fludb.org VT-4 lineage

40 www.fludb.org

41 VT-4 lineage = B allele/group

42 www.fludb.org VT-16 & VT-9 lineages

43 www.fludb.org

44 VT-7 lineage

45 www.fludb.org

46 EVOLUTIONARY TRAJECTORY ANALYSIS OF THE PANDEMIC (H1N1) 2009 STRAIN

47 www.fludb.org Phylogenetic Analysis Evolutionary origin – Select a representative pandemic (H1N1) 2009 sequence from the IRD database – BLAST to identify most similar sequences – Assess phylogenetic relationships

48 www.fludb.org Pandemic (H1N1) 2009 selection

49 www.fludb.org BLAST Result

50 www.fludb.org Segment 1 phylogenetic tree Swine/Ohio/2004 Duck/USA/2000s Human/USA/2007 (seasonal) Swine/USA/1990s Pandemic (H1N1) 2009

51 www.fludb.org Temporal component Reference strain – A/California/04/2009 BLAST – Return top 1000 results Normalize data Graph nucleotide differences versus isolation year differences

52 www.fludb.org NP chart

53 www.fludb.org NS chart

54 www.fludb.org HA chart

55 www.fludb.org Group 1 Group 3 Group 2

56 www.fludb.org <= Cali/04/09 NS blue cluster (G1)

57 www.fludb.org <= Cali/04/09 NS green cluster (G2)

58 www.fludb.org Phylogenetic Trees Quantification Analysis method – Build tree for Group 1 and Group 2 strains separately – Analyze branch lengths of trees Results – Avg. Group 1 Branch Length:0.0034 (S.D. 0.0062) – Avg. Group 2 Branch Length: 0.0075 (S.D. 0.0118) – T-test (2 sample, unequal variance):3.22 10 -05

59 www.fludb.org Group 1 Group 3 Group 2

60 www.fludb.org HA trendline

61 www.fludb.org Evolutionary Trajectory Slopes vs. Mutation Rate SegmentGroup 1 SlopeGroup 2 SlopeMutation Rate PB26.8 24.9 4.3 PB17.6 26.9 PA5.9 23.2 HA5.5 28.8 5.7 NP2.9 18.2 3.6 NA3.8 23.1 3.2 M1.3 5.6 1.5 NS2.0 12.5 1.6 Substitutions/segment/year

62 www.fludb.org Evolutionary Trajectory (E.T.) Similar but Distantly Related (SDR)

63 www.fludb.org Garten, et al. Science 2009

64 www.fludb.org Garten, et al. Science 2009

65 www.fludb.org <= Cali/04/09 ET

66 www.fludb.org <= Cali/04/09 SDR

67 www.fludb.org North American H1N1 Lineage - HA H1N1 2009 American Swine, 2000’s North American H1N1 Lineage HA – Group 1 American Swine, 90’s American Swine, 80’s American Swine, 70’s American Swine, 40 - 60’s

68 www.fludb.org Evolutionary Trajectory Plots Evolutionary Trajectory of a strain, with candidates displayed.

69 www.fludb.org

70

71 Summary The Influenza Research Database (IRD) provides a comprehensive resource of data, analysis and visualization tools about influenza virus – www.fludb.orgwww.fludb.org SFVT represents a novel tool that can be used to better understand genotype-phenotype relationships for flu Use of IRD to illuminate the viral origins of the pandemic (H1N1) 2009 virus IRD is continually evolving to capture and integrate addition data and analytical tools to support the needs of the influenza research community

72 www.fludb.org 72 U.T. Southwestern – Richard Scheuermann (PI) – Burke Squires – Jyothi Noronha – Victoria Hunt – Shubhada Godbole – Brett Pickett – Yun Zhang MSSM – Adolfo Garcia-Sastre – Eric Bortz – Gina Conenello – Peter Palese Vecna – Chris Larsen – Al Ramsey LANL – Catherine Macken – Mira Dimitrijevic U.C. Davis – Nicole Baumgarth Northrop Grumman – Ed Klem – Mike Atassi – Kevin Biersack – Jon Dietrich – Wenjie Hua – Wei Jen – Sanjeev Kumar – Xiaomei Li – Zaigang Liu – Jason Lucas – Michelle Lu – Bruce Quesenberry – Barbara Rotchford – Hongbo Su – Bryan Walters – Jianjun Wang – Sam Zaremba – Liwei Zhou IRD SWG – Gillian Air, OMRF – Carol Cardona, Univ. Minnesota – Adolfo Garcia-Sastre, Mt Sinai – Elodie Ghedin, Univ. Pittsburgh – Martha Nelson, Fogarty – Daniel Perez, Univ. Maryland – Gavin Smith, Duke Singapore – David Spiro, JCVI – Dave Stallknecht, Univ. Georgia – David Topham, Rochester – Richard Webby, St Jude USDA – David Suarez Sage Analytica – Robert Taylor – Lone Simonsen CEIRS Centers Acknowledgments N01AI40041

73 www.fludb.org Segment 6 (NA) By Host

Download ppt "Www.fludb.org Sequence Feature Variant Type and Evolutionary Trajectory Analysis using the Influenza Research Database (IRD) 19 July 2011 Richard H. Scheuermann,"

Similar presentations

John R. LaMontagne Memorial Symposium on Pandemic Influenza Research Working Group 8 Virus Transmission: Understanding and Predicting Pandemic Risk.

John R. LaMontagne Memorial Symposium on Pandemic Influenza Research Working Group 8 Virus Transmission: Understanding and Predicting Pandemic Risk.
The pandemic and a brief ABC of influenza Thomas Abraham JMSC 6090.

The pandemic and a brief ABC of influenza Thomas Abraham JMSC 6090.
Www.viprbrc.org Virus Pathogen Resource (ViPR) 26 September 2011 Richard H. Scheuermann, Ph.D. Department of Pathology U.T. Southwestern Medical Center.

Virus Pathogen Resource (ViPR) 26 September 2011 Richard H. Scheuermann, Ph.D. Department of Pathology U.T. Southwestern Medical Center.
Centers of Excellence for Influenza Research and Surveillance 6 th Annual Meeting Aug 1, 2012 Status of IRD Development.

Centers of Excellence for Influenza Research and Surveillance 6 th Annual Meeting Aug 1, 2012 Status of IRD Development.
Avian Influenza – The Bird Flu

Avian Influenza – The Bird Flu
Introduction to Bioinformatics Richard H. Scheuermann, Ph.D. Director of Informatics JCVI.

Introduction to Bioinformatics Richard H. Scheuermann, Ph.D. Director of Informatics JCVI.
Host cell responses to viral infection can be monitored by a variety of different high throughput experimental methodologies in order to understand the.

Host cell responses to viral infection can be monitored by a variety of different high throughput experimental methodologies in order to understand the.
Influenza Sara Finestone April 8, 2010. The influenza virus causes 3-5 million cases of severe illness and up to 500,000 deaths annually.

Influenza Sara Finestone April 8, The influenza virus causes 3-5 million cases of severe illness and up to 500,000 deaths annually.
Www.fludb.org Bioinformatics Resource Centers Influenza Research Database (IRD) Virus Pathogen Database and Analysis Resource (ViPR) 8 December 2010 Richard.

Bioinformatics Resource Centers Influenza Research Database (IRD) Virus Pathogen Database and Analysis Resource (ViPR) 8 December 2010 Richard.
Influenza A Virus Pandemic Prediction and Simulation Through the Modeling of Reassortment Matthew Ingham Integrated Sciences Program University of British.

Influenza A Virus Pandemic Prediction and Simulation Through the Modeling of Reassortment Matthew Ingham Integrated Sciences Program University of British.
Materials and Methods Abstract Conclusions Introduction 1. Korber B, et al. Br Med Bull 2001; 58: 19-42. 2. Rambaut A, et al. Nat. Rev. Genet. 2004; 5:

Materials and Methods Abstract Conclusions Introduction 1. Korber B, et al. Br Med Bull 2001; 58: Rambaut A, et al. Nat. Rev. Genet. 2004; 5:
Integrated Bioinformatics Data and Analysis Tools for Herpesviridae Viruses in the Virus Pathogen Resource (ViPR) Yun Zhang 1, Brett Pickett 1, Eva Sadat.

Integrated Bioinformatics Data and Analysis Tools for Herpesviridae Viruses in the Virus Pathogen Resource (ViPR) Yun Zhang 1, Brett Pickett 1, Eva Sadat.
Large-Scale Sequencing of the Influenza Virus Genome Steven Salzberg Center for Bioinformatics and Computational Biology University of Maryland Institute.

Large-Scale Sequencing of the Influenza Virus Genome Steven Salzberg Center for Bioinformatics and Computational Biology University of Maryland Institute.
Pandemic Influenza Preparedness Kentucky Department for Public Health Department for Public Health.

Pandemic Influenza Preparedness Kentucky Department for Public Health Department for Public Health.
Epidemic Vs Pandemic 8.L.1.2.

Epidemic Vs Pandemic 8.L.1.2.
EPIDEMIOLOGY AND PREVENTION OF INFLUENZA. Introduction Unique epidemiology: – Seasonal attack rates of 10% to 30% – Global epidemics Influenza viruses.

EPIDEMIOLOGY AND PREVENTION OF INFLUENZA. Introduction Unique epidemiology: – Seasonal attack rates of 10% to 30% – Global epidemics Influenza viruses.
EPIDEMIOLOGY AND PREVENTION OF INFLUENZA. Introduction Unique epidemiology: – Seasonal attack rates of 10% to 30% – Global pandemics Influenza viruses.

EPIDEMIOLOGY AND PREVENTION OF INFLUENZA. Introduction Unique epidemiology: – Seasonal attack rates of 10% to 30% – Global pandemics Influenza viruses.
Evolution as a Confounding Factor in Genetic Association Studies 14 December 2011 Richard H. Scheuermann, Ph.D. Department of Pathology U.T. Southwestern.

Evolution as a Confounding Factor in Genetic Association Studies 14 December 2011 Richard H. Scheuermann, Ph.D. Department of Pathology U.T. Southwestern.
Laboratory Training for Field Epidemiologists Typing May 2007 Sequencing and Phylogeny.

Laboratory Training for Field Epidemiologists Typing May 2007 Sequencing and Phylogeny.
The evolution of infectious disease. Influenza We generally think of the flu as nothing more than a minor annoyance In an average year, however, the flu.

The evolution of infectious disease. Influenza We generally think of the flu as nothing more than a minor annoyance In an average year, however, the flu.

Similar presentations

Ads by Google