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Assembly of 913 microbial genomes from metagenomic sequencing of the cow rumen

Author

Listed:
  • Robert D. Stewart

    (University of Edinburgh)

  • Marc D. Auffret

    (Scotland’s Rural College)

  • Amanda Warr

    (University of Edinburgh)

  • Andrew H. Wiser

    (Phase Genomics)

  • Maximilian O. Press

    (Phase Genomics)

  • Kyle W. Langford

    (Phase Genomics)

  • Ivan Liachko

    (Phase Genomics)

  • Timothy J. Snelling

    (University of Aberdeen)

  • Richard J. Dewhurst

    (Scotland’s Rural College)

  • Alan W. Walker

    (University of Aberdeen)

  • Rainer Roehe

    (Scotland’s Rural College)

  • Mick Watson

    (University of Edinburgh)

Abstract

The cow rumen is adapted for the breakdown of plant material into energy and nutrients, a task largely performed by enzymes encoded by the rumen microbiome. Here we present 913 draft bacterial and archaeal genomes assembled from over 800 Gb of rumen metagenomic sequence data derived from 43 Scottish cattle, using both metagenomic binning and Hi-C-based proximity-guided assembly. Most of these genomes represent previously unsequenced strains and species. The draft genomes contain over 69,000 proteins predicted to be involved in carbohydrate metabolism, over 90% of which do not have a good match in public databases. Inclusion of the 913 genomes presented here improves metagenomic read classification by sevenfold against our own data, and by fivefold against other publicly available rumen datasets. Thus, our dataset substantially improves the coverage of rumen microbial genomes in the public databases and represents a valuable resource for biomass-degrading enzyme discovery and studies of the rumen microbiome.

Suggested Citation

  • Robert D. Stewart & Marc D. Auffret & Amanda Warr & Andrew H. Wiser & Maximilian O. Press & Kyle W. Langford & Ivan Liachko & Timothy J. Snelling & Richard J. Dewhurst & Alan W. Walker & Rainer Roehe , 2018. "Assembly of 913 microbial genomes from metagenomic sequencing of the cow rumen," Nature Communications, Nature, vol. 9(1), pages 1-11, December.
  • Handle: RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-018-03317-6
    DOI: 10.1038/s41467-018-03317-6
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    Cited by:

    1. Yuxuan Du & Jed A. Fuhrman & Fengzhu Sun, 2023. "ViralCC retrieves complete viral genomes and virus-host pairs from metagenomic Hi-C data," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    2. Yuxuan Du & Fengzhu Sun, 2023. "MetaCC allows scalable and integrative analyses of both long-read and short-read metagenomic Hi-C data," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    3. Jiandui Mi & Xiaoping Jing & Chouxian Ma & Fuyu Shi & Ze Cao & Xin Yang & Yiwen Yang & Apurva Kakade & Weiwei Wang & Ruijun Long, 2024. "A metagenomic catalogue of the ruminant gut archaeome," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
    4. Zhiguang Qiu & Li Yuan & Chun-Ang Lian & Bin Lin & Jie Chen & Rong Mu & Xuejiao Qiao & Liyu Zhang & Zheng Xu & Lu Fan & Yunzeng Zhang & Shanquan Wang & Junyi Li & Huiluo Cao & Bing Li & Baowei Chen & , 2024. "BASALT refines binning from metagenomic data and increases resolution of genome-resolved metagenomic analysis," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
    5. Feng Tong & Teng Wang & Na L. Gao & Ziying Liu & Kuiqing Cui & Yiqian Duan & Sicheng Wu & Yuhong Luo & Zhipeng Li & Chengjian Yang & Yixue Xu & Bo Lin & Liguo Yang & Alfredo Pauciullo & Deshun Shi & G, 2022. "The microbiome of the buffalo digestive tract," Nature Communications, Nature, vol. 13(1), pages 1-16, December.
    6. Ruonan Wu & Michelle R. Davison & William C. Nelson & Montana L. Smith & Mary S. Lipton & Janet K. Jansson & Ryan S. McClure & Jason E. McDermott & Kirsten S. Hofmockel, 2023. "Hi-C metagenome sequencing reveals soil phage–host interactions," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    7. Ming Yan & Akbar Adjie Pratama & Sripoorna Somasundaram & Zongjun Li & Yu Jiang & Matthew B. Sullivan & Zhongtang Yu, 2023. "Interrogating the viral dark matter of the rumen ecosystem with a global virome database," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
    8. Lerato Molieleng & Pieter Fourie & Ifeoma Nwafor, 2021. "Adoption of Climate Smart Agriculture by Communal Livestock Farmers in South Africa," Sustainability, MDPI, vol. 13(18), pages 1-18, September.

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