HyLight: Strain aware assembly of low coverage metagenomes

Xiongbin Kang, Wenhai Zhang, Yichen Li, Xiao Luo () and Alexander Schönhuth ()
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Xiongbin Kang: Hunan University
Wenhai Zhang: Hunan University
Yichen Li: Hunan University
Xiao Luo: Hunan University
Alexander Schönhuth: Bielefeld University

Nature Communications, 2024, vol. 15, issue 1, 1-17

Abstract: 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.

Date: 2024
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DOI: 10.1038/s41467-024-52907-0

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