Evidence map›Paper›PMID 39375348›Full record

ArticleNature communications2024

HyLight: Strain aware assembly of low coverage metagenomes.

Xiongbin Kang, Wenhai Zhang, Yichen Li, Xiao Luo, Alexander Schönhuth

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
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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

5 authors.

Xiongbin KangCollege of Biology, Hunan University, Changsha, China.ORCID 0000-0001-6946-4290
Wenhai ZhangCollege of Biology, Hunan University, Changsha, China.ORCID 0009-0001-7381-3462
Yichen LiCollege of Computer Science and Electronic Engineering, Hunan University, Changsha, China.
Xiao LuoCollege of Biology, Hunan University, Changsha, China. xluo@hnu.edu.cn.ORCID 0000-0002-3914-359X
Alexander SchönhuthGenome Data Science, Faculty of Technology, Bielefeld University, Bielefeld, Germany. aschoen@cebitec.uni-bielefeld.de.ORCID 0000-0003-3529-0856

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Different strains of identical species can vary substantially in terms of their spectrum of biomedically relevant phenotypes. Reconstructing the genomes of microbial communities at the level of their strains poses significant challenges, because sequencing errors can obscure strain-specific variants. Next-generation sequencing (NGS) reads are too short to resolve complex genomic regions. Third-generation sequencing (TGS) reads, although longer, are prone to higher error rates or substantially more expensive. Limiting TGS coverage to reduce costs compromises the accuracy of the assemblies. This explains why prior approaches agree on losses in strain awareness, accuracy, tendentially excessive costs, or combinations thereof. We introduce HyLight, a metagenome assembly approach that addresses these challenges by implementing the complementary strengths of TGS and NGS data. HyLight employs strain-resolved overlap graphs (OG) to accurately reconstruct individual strains within microbial communities. Our experiments demonstrate that HyLight produces strain-aware and contiguous assemblies at minimal error content, while significantly reducing costs because utilizing low-coverage TGS data. HyLight achieves an average improvement of 19.05% in preserving strain identity and demonstrates near-complete strain awareness across diverse datasets. In summary, HyLight offers considerable advances in metagenome assembly, insofar as it delivers significantly enhanced strain awareness, contiguity, and accuracy without the typical compromises observed in existing approaches.

Indexed as

High-Throughput Nucleotide SequencingMetagenomeBacteriaGenome, BacterialMetagenomicsMicrobiotaSequence Analysis, DNASoftware

Identifiers

PMID39375348
PMCPMC11458758

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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.