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Genome-wide association study of Arabidopsis thaliana leaf microbial community

Author

Listed:
  • Matthew W. Horton

    (University of Chicago
    Gregor Mendel Institute, Austrian Academy of Sciences)

  • Natacha Bodenhausen

    (University of Chicago)

  • Kathleen Beilsmith

    (University of Chicago)

  • Dazhe Meng

    (Gregor Mendel Institute, Austrian Academy of Sciences)

  • Brian D. Muegge

    (Center for Genome Sciences and Systems Biology, Washington University School of Medicine)

  • Sathish Subramanian

    (Center for Genome Sciences and Systems Biology, Washington University School of Medicine)

  • M. Madlen Vetter

    (University of Chicago)

  • Bjarni J. Vilhjálmsson

    (Gregor Mendel Institute, Austrian Academy of Sciences)

  • Magnus Nordborg

    (Gregor Mendel Institute, Austrian Academy of Sciences)

  • Jeffrey I. Gordon

    (Center for Genome Sciences and Systems Biology, Washington University School of Medicine)

  • Joy Bergelson

    (University of Chicago)

Abstract

Identifying the factors that influence the outcome of host–microbial interactions is critical to protecting biodiversity, minimizing agricultural losses and improving human health. A few genes that determine symbiosis or resistance to infectious disease have been identified in model species, but a comprehensive examination of how a host genotype influences the structure of its microbial community is lacking. Here we report the results of a field experiment with the model plant Arabidopsis thaliana to identify the fungi and bacteria that colonize its leaves and the host loci that influence the microbe numbers. The composition of this community differs among accessions of A. thaliana. Genome-wide association studies (GWAS) suggest that plant loci responsible for defense and cell wall integrity affect variation in this community. Furthermore, species richness in the bacterial community is shaped by host genetic variation, notably at loci that also influence the reproduction of viruses, trichome branching and morphogenesis.

Suggested Citation

  • Matthew W. Horton & Natacha Bodenhausen & Kathleen Beilsmith & Dazhe Meng & Brian D. Muegge & Sathish Subramanian & M. Madlen Vetter & Bjarni J. Vilhjálmsson & Magnus Nordborg & Jeffrey I. Gordon & Jo, 2014. "Genome-wide association study of Arabidopsis thaliana leaf microbial community," Nature Communications, Nature, vol. 5(1), pages 1-7, December.
    • Handle: RePEc:nat:natcom:v:5:y:2014:i:1:d:10.1038_ncomms6320
    DOI: 10.1038/ncomms6320
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    Cited by:

    1. Lucas Hemmerle & Benjamin A. Maier & Miriam Bortfeld-Miller & Birgitta Ryback & Christoph G. Gäbelein & Martin Ackermann & Julia A. Vorholt, 2022. "Dynamic character displacement among a pair of bacterial phyllosphere commensals in situ," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
    2. Ben O. Oyserman & Stalin Sarango Flores & Thom Griffioen & Xinya Pan & Elmar Wijk & Lotte Pronk & Wouter Lokhorst & Azkia Nurfikari & Joseph N. Paulson & Mercedeh Movassagh & Nejc Stopnisek & Anne Kup, 2022. "Disentangling the genetic basis of rhizosphere microbiome assembly in tomato," Nature Communications, Nature, vol. 13(1), pages 1-16, December.
    3. Carmen Escudero-Martinez & Max Coulter & Rodrigo Alegria Terrazas & Alexandre Foito & Rumana Kapadia & Laura Pietrangelo & Mauro Maver & Rajiv Sharma & Alessio Aprile & Jenny Morris & Pete E. Hedley &, 2022. "Identifying plant genes shaping microbiota composition in the barley rhizosphere," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
    4. Pin Su & Houxiang Kang & Qianze Peng & Wisnu Adi Wicaksono & Gabriele Berg & Zhuoxin Liu & Jiejia Ma & Deyong Zhang & Tomislav Cernava & Yong Liu, 2024. "Microbiome homeostasis on rice leaves is regulated by a precursor molecule of lignin biosynthesis," Nature Communications, Nature, vol. 15(1), pages 1-16, December.
    5. Yayu Wang & Xiaolin Wang & Shuai Sun & Canzhi Jin & Jianmu Su & Jinpu Wei & Xinyue Luo & Jiawen Wen & Tong Wei & Sunil Kumar Sahu & Hongfeng Zou & Hongyun Chen & Zhixin Mu & Gengyun Zhang & Xin Liu & , 2022. "GWAS, MWAS and mGWAS provide insights into precision agriculture based on genotype-dependent microbial effects in foxtail millet," Nature Communications, Nature, vol. 13(1), pages 1-17, December.

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