Evidence map›Paper›PMID 34426638›Full record

ArticleCommunications biology2021

Salvaging high-quality genomes of microbial species from a meromictic lake using a hybrid sequencing approach.

Yu-Hsiang Chen, Pei-Wen Chiang, Denis Yu Rogozin, Andrey G Degermendzhy, Hsiu-Hui Chiu, Sen-Lin Tang

Abstract read
In one paragraph

Article in Communications biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

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  9. Uncovering newMicrobiology spectrum · 2024
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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

6 authors.

Yu-Hsiang ChenBioinformatics Program, Taiwan International Graduate Program, National Taiwan University, Taipei, Taiwan.ORCID 0000-0002-5598-4129
Pei-Wen ChiangBiodiversity Research Center, Academia Sinica, Taipei, Taiwan.
Denis Yu RogozinInstitute of Biophysics, Siberian Branch of Russian Academy of Sciences, Krasnoyarsk, Russia.
Andrey G DegermendzhyInstitute of Biophysics, Siberian Branch of Russian Academy of Sciences, Krasnoyarsk, Russia.
Hsiu-Hui ChiuBiodiversity Research Center, Academia Sinica, Taipei, Taiwan.
Sen-Lin TangBioinformatics Program, Institute of Information Science, Taiwan International Graduate Program, Academia Sinica, Taipei, Taiwan. sltang@gate.sinica.edu.tw.ORCID 0000-0002-5852-972X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Most of Earth's bacteria have yet to be cultivated. The metabolic and functional potentials of these uncultivated microorganisms thus remain mysterious, and the metagenome-assembled genome (MAG) approach is the most robust method for uncovering these potentials. However, MAGs discovered by conventional metagenomic assembly and binning are usually highly fragmented genomes with heterogeneous sequence contamination. In this study, we combined Illumina and Nanopore data to develop a new workflow to reconstruct 233 MAGs-six novel bacterial orders, 20 families, 66 genera, and 154 species-from Lake Shunet, a secluded meromictic lake in Siberia. With our workflow, the average N50 of reconstructed MAGs greatly increased 10-40-fold compared to when the conventional Illumina assembly and binning method were used. More importantly, six complete MAGs were recovered from our datasets. The recovery of 154 novel species MAGs from a rarely explored lake greatly expands the current bacterial genome encyclopedia.

Indexed as

Genome, BacterialHigh-Throughput Nucleotide SequencingMetagenomeNanopore SequencingBacteriaLakesSiberia

Identifiers

PMID34426638
PMCPMC8382752

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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.