Scholarlink

<p>The metagenomic next-generation sequencing (mNGS), also known as short-read sequencing (SRS), is widely used to explore microbial composition and function. However, short reads, due to their difficulty in crossing repetitive regions, can lead to fragmented assemblies, hampering the comprehensive characterization of microbial genomes. In contrast, long-read sequencing (LRS) technologies, such as those from Pacific Biosciences (PacBio) and Oxford Nanopore, can span these complex repetitive regions and reconstruct continuous genomes, which enables high-resolution taxonomic classification and the precise recovery of essential genetic elements. This review provides a systematic overview of the computational approaches for long-read metagenomics, highlighting the progress in taxonomic profiling strategies, assembly and binning methods, and the detection of genetic elements. Furthermore, the review discusses the application of LRS in detecting structural variations (SVs), identifying methylation patterns, and characterizing strains. By combining advanced technologies and computational improvements, this review indicates the transformative potential of LRS in enhancing our understanding of microbial diversity, functions, and interactions within microbial communities.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

A review of computational approaches for metagenomics by long-read sequencing

  • 期刊论文

  • 发表日期：

    2026年2月9日

查看全文
  • Baichen Le,
  • Longhao Jia,
  • Tianxiang Pang,
  • Shuwen Han,
  • Yiqian Duan,
  • Xing-Ming Zhao

摘要

The metagenomic next-generation sequencing (mNGS), also known as short-read sequencing (SRS), is widely used to explore microbial composition and function. However, short reads, due to their difficulty in crossing repetitive regions, can lead to fragmented assemblies, hampering the comprehensive characterization of microbial genomes. In contrast, long-read sequencing (LRS) technologies, such as those from Pacific Biosciences (PacBio) and Oxford Nanopore, can span these complex repetitive regions and reconstruct continuous genomes, which enables high-resolution taxonomic classification and the precise recovery of essential genetic elements. This review provides a systematic overview of the computational approaches for long-read metagenomics, highlighting the progress in taxonomic profiling strategies, assembly and binning methods, and the detection of genetic elements. Furthermore, the review discusses the application of LRS in detecting structural variations (SVs), identifying methylation patterns, and characterizing strains. By combining advanced technologies and computational improvements, this review indicates the transformative potential of LRS in enhancing our understanding of microbial diversity, functions, and interactions within microbial communities.