Evidence map›Paper›PMID 42608197›Full record

ReviewGigaScience2026

Promises and pitfalls of long-read sequencing for resolving microbial complexity.

Xing Rao, Yuzheng Gu, Gabriella, Jiayi Ma, Haoyu Wang, Yuanqiang Zou

Abstract readReview
In one paragraph

Review in GigaScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Xing RaoState Key Laboratory of Genome and Multi-omics Technologies, BGI Research, Shenzhen 518083, China.ORCID 0009-0000-6532-4397
Yuzheng GuState Key Laboratory of Genome and Multi-omics Technologies, BGI Research, Shenzhen 518083, China.
GabriellaState Key Laboratory of Genome and Multi-omics Technologies, BGI Research, Shenzhen 518083, China.
Jiayi MaState Key Laboratory of Genome and Multi-omics Technologies, BGI Research, Shenzhen 518083, China.
Haoyu WangState Key Laboratory of Genome and Multi-omics Technologies, BGI Research, Shenzhen 518083, China.
Yuanqiang ZouState Key Laboratory of Genome and Multi-omics Technologies, BGI Research, Shenzhen 518083, China.ORCID 0000-0003-2380-264X

Funding

Shenzhen Medical Research Fund JCYJ20241202124801003Shenzhen Science and Technology Program KCXFZ20240903094006009
6 · The paper itself

Abstract

Long-read sequencing (LRS) has driven a transition in microbial genomics, overcoming the assembly fragmentation inherent to short-read sequencing. This review elucidates the impact of LRS across isolate genomics, metagenomics, and multi-omics domains. By spanning extensive repetitive regions, LRS facilitates the reconstruction of circular chromosomes and precisely resolves mobile genetic elements (MGEs). In metagenomics, LRS enables strain-level resolution, the recovery of circular metagenome-assembled genomes, and the precise localization of MGEs within host replicons. Furthermore, the single-molecule, amplification-free properties of LRS provide enhanced resolution of native epigenetic modifications and full-length transcriptomes. Despite these advancements, widespread implementation remains constrained by multidimensional challenges, including stringent high-molecular-weight DNA requirements, depth deficits, and computational overhead. Nevertheless, LRS is increasingly becoming the method of choice for isolate genomics and metagenomics. As detection technologies and algorithms progress, LRS will further improve our ability to decipher the structural and functional diversity of microbial ecosystems.

Indexed as

High-Throughput Nucleotide SequencingMetagenomicsSequence Analysis, DNAComputational BiologyGenomicsMetagenomeMultiomicsgenome assemblylong-read sequencingmetagenomicsmicrobial genomics

Identifiers

PMID42608197
PMCPMC13543314

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.