Microbiome bioinformatics

A large number of microorganisms, including bacteria, archaea, fungi and other eukaryotes are present in our bodies and in our environment. Although usually invisible, their presence or absence is essential for our health.

Beneficial gut bacteria

Beneficial Gut Bacteria. Credit: Darryl Leja, NHGRI, NIH. CC BY-NC 2.0

Recent progress in sequencing technology have enabled large scale sequencing of mixtures of DNA and RNA from all the organisms present in a sample simultaneously. We are developing computational tools to analyse this kind of data in order to identify and classify the species present and their abundances. We are focusing on bacteria as well as viruses and bacteriophages. Microbiome analysis is now making an impact in many areas, including marine biology, medical sciences, forensic science and agriculture.

Principal investigators

Research groups involved

Projects

Recent publications

  • Kværner AS, Birkeland E, Bucher-Johannessen C, Vinberg E, Nordby JI, Kangas H, Bemanian V, Ellonen P, Botteri E, Natvig E, Rognes T, Hovig E, Lyle R, Ambur OH, de Vos WM, Bultman S, Hjartåker A, Landberg R, Song M, Ursin G, Randel KR, de Lange T, Hoff G, Holme Ø, Berstad P, Rounge TB (2021)
    The CRCbiome study: a large prospective cohort study examining the role of lifestyle and the gut microbiome in colorectal cancer screening participants
    BMC Cancer (in press)
  • Mahé F, Czech L, Stamatakis A, Quince C, de Vargas C, Dunthorn M, Rognes T (2021)
    Swarm v3: towards tera-scale amplicon clustering
    Bioinformatics (in press)
  • Engberg E, Raju SC, Figueiredo RAO, Weiderpass E, Rounge TB, Viljakainen H (2021)
    Saliva microbiota differs between children with low and high sedentary screen times
    Human Microbiome Journal, 20. doi 10.1016/j.humic.2021.100080
  • Snipen L, Angell IL, Rognes T, Rudi K (2021)
    Reduced Metagenome Sequencing for strain-resolution taxonomic profiles
    Microbiome, 9, 79. doi: 10.1186/s40168-021-01019-8
  • Raju SC, Viljakainen H, Figueiredo RAO, Neuvonen PJ, Eriksson JG, Weiderpass E, Rounge TB (2020)
    Antimicrobial drug use in the first decade of life influences saliva microbiota diversity and composition
    Microbiome, 8 (1), 121. doi 10.1186/s40168-020-00893-y
  • Viljakainen J, Raju R, Viljakainen H, Figueiredo RAO, Roos E, Weiderpass E, Rounge TB (2020)
    Meal Regularity Plays a Role in Shaping the Saliva Microbiota
    Front Microbiol, 11, 757. doi 10.3389/fmicb.2020.00757
  • Raju SC, Lagström S, Ellonen P, de Vos WM, Eriksson JG, Weiderpass E, Rounge TB (2019)
    Gender-specific associations between saliva microbiota and body size
    Front Microbiol, 10, 767. doi 10.3389/fmicb.2019.00767
  • Rounge TB, Meisal R, Nordby JI, Ambur OH, de Lange T, Hoff G (2018)
    Evaluating gut microbiota profiles from archived fecal samples
    BMC Gastroenterol, 18 (1), 171. doi 10.1186/s12876-018-0896-6
  • Rognes T, Flouri T, Nichols B, Quince C, Mahé F (2016)
    VSEARCH: a versatile open source tool for metagenomics
    PeerJ, 4, e2584. doi 10.7717/peerj.2584
  • Kopylova E, Navas-Molina JA, Mercier C, Xu ZZ, Mahé F, He Y, Zhou HW, Rognes T, Caporaso JG, Knight R (2016)
    Open-Source Sequence Clustering Methods Improve the State Of the Art
    mSystems, 1 (1). doi 10.1128/mSystems.00003-15
  • Mahé F, Rognes T, Quince C, de Vargas C, Dunthorn M (2015)
    Swarm v2: highly-scalable and high-resolution amplicon clustering
    PeerJ, 3, e1420. doi 10.7717/peerj.1420
  • Mahé F, Rognes T, Quince C, de Vargas C, Dunthorn M (2014)
    Swarm: robust and fast clustering method for amplicon-based studies
    PeerJ, 2, e593. doi 10.7717/peerj.593

Collaborations

  • Frédéric Mahé (CIRAD, France)
  • Lars Snipen, Knut Rudi (NMBU, Ås)
Published Apr. 30, 2019 6:18 PM - Last modified June 2, 2022 1:24 PM