Evidence map›Paper›PMID 34980911›Full record

ArticleNature biotechnology2022

Generating lineage-resolved, complete metagenome-assembled genomes from complex microbial communities.

Derek M Bickhart, Mikhail Kolmogorov, Elizabeth Tseng, Daniel M Portik, Anton Korobeynikov, Ivan Tolstoganov, Gherman Uritskiy, Ivan Liachko, Shawn T Sullivan, Sung Bong Shin and 7 more

Abstract read
PubMed Publisher
In one paragraph

Article in Nature biotechnology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 125 papers.

0numbers the graph read from it
0cells of the map it votes in
125citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

125 citing papers in PubMed.

  1. Article
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  3. CAMEO: a CAZyme mapping engine optimized for HUMAnN.Microbiology resource announcements · 2026
    Article
  4. Review
  5. Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Applied and environmental microbiology · 2026
    Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

65 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors.

Derek M Bickhart *USDA Dairy Forage Research Center, Madison, WI, USA.ORCID http://orcid.org/0000-0003-2223-9285
Mikhail Kolmogorov *Department of Computer Science and Engineering, University of California - San Diego, La Jolla, CA, USA.ORCID http://orcid.org/0000-0002-5489-9045
Elizabeth TsengPacific Biosciences, Menlo Park, CA, USA.
Daniel M PortikPacific Biosciences, Menlo Park, CA, USA.ORCID http://orcid.org/0000-0003-3518-7277
Anton KorobeynikovCenter for Algorithmic Biotechnology, St. Petersburg State University, St. Petersburg, Russia.ORCID http://orcid.org/0000-0002-2937-9259
Ivan TolstoganovCenter for Algorithmic Biotechnology, St. Petersburg State University, St. Petersburg, Russia.ORCID http://orcid.org/0000-0003-1536-3296
Gherman UritskiyAmazon, Seattle, WA, USA.
Ivan LiachkoPhase Genomics, Seattle, WA, USA.
Shawn T SullivanPhase Genomics, Seattle, WA, USA.
Sung Bong ShinUSDA Meat Animal Research Center, Clay Center, NE, USA.
Alvah ZoreaDepartment of Life Sciences and the National Institute for Biotechnology in the Negev, Ben Gurion University of the Negev, Beer Sheba, Israel.ORCID http://orcid.org/0000-0001-6543-2259
Victòria Pascal AndreuBioinformatics Group, Wageningen University, Wageningen, Netherlands.ORCID http://orcid.org/0000-0001-9609-9401
Kevin Panke-BuisseUSDA Dairy Forage Research Center, Madison, WI, USA.
Marnix H MedemaBioinformatics Group, Wageningen University, Wageningen, Netherlands.ORCID http://orcid.org/0000-0002-2191-2821
Itzhak MizrahiDepartment of Life Sciences and the National Institute for Biotechnology in the Negev, Ben Gurion University of the Negev, Beer Sheba, Israel.ORCID http://orcid.org/0000-0001-6636-8818
Pavel A PevznerDepartment of Computer Science and Engineering, University of California - San Diego, La Jolla, CA, USA. ppevzner@ucsd.edu.
Timothy P L SmithUSDA Meat Animal Research Center, Clay Center, NE, USA. tim.smith2@usda.gov.ORCID http://orcid.org/0000-0003-1611-6828

Funding

A method for the culture-free discovery and host affiliation of novel viruses from metagenomic samplesR44AI162570 · NIAID · PHASE GENOMICS, INC. · PI LIACHKO, IVAN · 2021 to 2022
$1.6M
A proximity ligation method to track mobile element hostsR44AI150008 · NIAID · PHASE GENOMICS, INC. · PI LIACHKO, IVAN · 2020 to 2021
$1.5M
NIAID NIH HHS R44 AI150008NIAID NIH HHS R44 AI162570
6 · The paper itself

Abstract

Microbial communities might include distinct lineages of closely related organisms that complicate metagenomic assembly and prevent the generation of complete metagenome-assembled genomes (MAGs). Here we show that deep sequencing using long (HiFi) reads combined with Hi-C binning can address this challenge even for complex microbial communities. Using existing methods, we sequenced the sheep fecal metagenome and identified 428 MAGs with more than 90% completeness, including 44 MAGs in single circular contigs. To resolve closely related strains (lineages), we developed MAGPhase, which separates lineages of related organisms by discriminating variant haplotypes across hundreds of kilobases of genomic sequence. MAGPhase identified 220 lineage-resolved MAGs in our dataset. The ability to resolve closely related microbes in complex microbial communities improves the identification of biosynthetic gene clusters and the precision of assigning mobile genetic elements to host genomes. We identified 1,400 complete and 350 partial biosynthetic gene clusters, most of which are novel, as well as 424 (298) potential host-viral (host-plasmid) associations using Hi-C data.

Indexed as

MetagenomeMicrobiotaAnimalsFecesMetagenomicsSequence Analysis, DNASheep

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.