Evidence map›Paper›PMID 32188701›Full record

ReviewGenome research2020

Accurate and complete genomes from metagenomes.

Lin-Xing Chen, Karthik Anantharaman, Alon Shaiber, A Murat Eren, Jillian F Banfield

Abstract readReview
In one paragraph

Review in Genome research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 234 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
234citing papers in PubMed, 1 pooled it
–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

234 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  20. Metagenomic Assembly and Gene Prediction.Methods in molecular biology (Clifton, N.J.) · 2026
    Article

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

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Lin-Xing ChenDepartment of Earth and Planetary Sciences, University of California, Berkeley, California 94720, USA.ORCID http://orcid.org/0000-0003-2774-1952
Karthik AnantharamanDepartment of Earth and Planetary Sciences, University of California, Berkeley, California 94720, USA.ORCID http://orcid.org/0000-0002-9584-2491
Alon ShaiberGraduate Program in Biophysical Sciences, University of Chicago, Chicago, Illinois 60637, USA.ORCID http://orcid.org/0000-0002-4806-9280
A Murat ErenDepartment of Medicine, University of Chicago, Chicago, Illinois 60637, USA.ORCID http://orcid.org/0000-0001-9013-4827
Jillian F BanfieldDepartment of Earth and Planetary Sciences, University of California, Berkeley, California 94720, USA.ORCID http://orcid.org/0000-0001-8203-8771

Funding

Population Genomic Analysis of Gut Microbial Colonization in Premature InfantsR01AI092531 · NIAID · UNIVERSITY OF CALIFORNIA BERKELEY · PI Jillian Banfield, Michael Morowitz · 2011 to 2026
$11.3M
Methods for inference of complex demography and selection from genomic dataR01GM109454 · NIGMS · UNIVERSITY OF CALIFORNIA BERKELEY · PI SONG, YUN S · 2013 to 2016
$1.2M
NIAID NIH HHS R01 AI092531NIGMS NIH HHS R01 GM109454
6 · The paper itself

Abstract

Genomes are an integral component of the biological information about an organism; thus, the more complete the genome, the more informative it is. Historically, bacterial and archaeal genomes were reconstructed from pure (monoclonal) cultures, and the first reported sequences were manually curated to completion. However, the bottleneck imposed by the requirement for isolates precluded genomic insights for the vast majority of microbial life. Shotgun sequencing of microbial communities, referred to initially as community genomics and subsequently as genome-resolved metagenomics, can circumvent this limitation by obtaining metagenome-assembled genomes (MAGs); but gaps, local assembly errors, chimeras, and contamination by fragments from other genomes limit the value of these genomes. Here, we discuss genome curation to improve and, in some cases, achieve complete (circularized, no gaps) MAGs (CMAGs). To date, few CMAGs have been generated, although notably some are from very complex systems such as soil and sediment. Through analysis of about 7000 published complete bacterial isolate genomes, we verify the value of cumulative GC skew in combination with other metrics to establish bacterial genome sequence accuracy. The analysis of cumulative GC skew identified potential misassemblies in some reference genomes of isolated bacteria and the repeat sequences that likely gave rise to them. We discuss methods that could be implemented in bioinformatic approaches for curation to ensure that metabolic and evolutionary analyses can be based on very high-quality genomes.

Indexed as

Genome, BacterialMetagenomeData CurationGenome, ArchaealMetagenomics

Identifiers

PMID32188701
PMCPMC7111523

What OpenQuestion holds

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LicenceCC BY
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.