Cargando…
Charting the complexity of the activated sludge microbiome through a hybrid sequencing strategy
BACKGROUND: Long-read sequencing has shown its tremendous potential to address genome assembly challenges, e.g., achieving the first telomere-to-telomere assembly of a gapless human chromosome. However, many issues remain unresolved when leveraging error-prone long reads to characterize high-complex...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8518188/ https://www.ncbi.nlm.nih.gov/pubmed/34649602 http://dx.doi.org/10.1186/s40168-021-01155-1 |
_version_ | 1784584171404918784 |
---|---|
author | Liu, Lei Wang, Yulin Yang, Yu Wang, Depeng Cheng, Suk Hang Zheng, Chunmiao Zhang, Tong |
author_facet | Liu, Lei Wang, Yulin Yang, Yu Wang, Depeng Cheng, Suk Hang Zheng, Chunmiao Zhang, Tong |
author_sort | Liu, Lei |
collection | PubMed |
description | BACKGROUND: Long-read sequencing has shown its tremendous potential to address genome assembly challenges, e.g., achieving the first telomere-to-telomere assembly of a gapless human chromosome. However, many issues remain unresolved when leveraging error-prone long reads to characterize high-complexity metagenomes, for instance, complete/high-quality genome reconstruction from highly complex systems. RESULTS: Here, we developed an iterative haplotype-resolved hierarchical clustering-based hybrid assembly (HCBHA) approach that capitalizes on a hybrid (error-prone long reads and high-accuracy short reads) sequencing strategy to reconstruct (near-) complete genomes from highly complex metagenomes. Using the HCBHA approach, we first phase short and long reads from the highly complex metagenomic dataset into different candidate bacterial haplotypes, then perform hybrid assembly of each bacterial genome individually. We reconstructed 557 metagenome-assembled genomes (MAGs) with an average N50 of 574 Kb from a deeply sequenced, highly complex activated sludge (AS) metagenome. These high-contiguity MAGs contained 14 closed genomes and 111 high-quality (HQ) MAGs including full-length rRNA operons, which accounted for 61.1% of the microbial community. Leveraging the near-complete genomes, we also profiled the metabolic potential of the AS microbiome and identified 2153 biosynthetic gene clusters (BGCs) encoded within the recovered AS MAGs. CONCLUSION: Our results established the feasibility of an iterative haplotype-resolved HCBHA approach to reconstruct (near-) complete genomes from highly complex ecosystems, providing new insights into “complete metagenomics”. The retrieved high-contiguity MAGs illustrated that various biosynthetic gene clusters (BGCs) were harbored in the AS microbiome. The high diversity of BGCs highlights the potential to discover new natural products biosynthesized by the AS microbial community, aside from the traditional function (e.g., organic carbon and nitrogen removal) in wastewater treatment. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40168-021-01155-1. |
format | Online Article Text |
id | pubmed-8518188 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-85181882021-10-20 Charting the complexity of the activated sludge microbiome through a hybrid sequencing strategy Liu, Lei Wang, Yulin Yang, Yu Wang, Depeng Cheng, Suk Hang Zheng, Chunmiao Zhang, Tong Microbiome Research BACKGROUND: Long-read sequencing has shown its tremendous potential to address genome assembly challenges, e.g., achieving the first telomere-to-telomere assembly of a gapless human chromosome. However, many issues remain unresolved when leveraging error-prone long reads to characterize high-complexity metagenomes, for instance, complete/high-quality genome reconstruction from highly complex systems. RESULTS: Here, we developed an iterative haplotype-resolved hierarchical clustering-based hybrid assembly (HCBHA) approach that capitalizes on a hybrid (error-prone long reads and high-accuracy short reads) sequencing strategy to reconstruct (near-) complete genomes from highly complex metagenomes. Using the HCBHA approach, we first phase short and long reads from the highly complex metagenomic dataset into different candidate bacterial haplotypes, then perform hybrid assembly of each bacterial genome individually. We reconstructed 557 metagenome-assembled genomes (MAGs) with an average N50 of 574 Kb from a deeply sequenced, highly complex activated sludge (AS) metagenome. These high-contiguity MAGs contained 14 closed genomes and 111 high-quality (HQ) MAGs including full-length rRNA operons, which accounted for 61.1% of the microbial community. Leveraging the near-complete genomes, we also profiled the metabolic potential of the AS microbiome and identified 2153 biosynthetic gene clusters (BGCs) encoded within the recovered AS MAGs. CONCLUSION: Our results established the feasibility of an iterative haplotype-resolved HCBHA approach to reconstruct (near-) complete genomes from highly complex ecosystems, providing new insights into “complete metagenomics”. The retrieved high-contiguity MAGs illustrated that various biosynthetic gene clusters (BGCs) were harbored in the AS microbiome. The high diversity of BGCs highlights the potential to discover new natural products biosynthesized by the AS microbial community, aside from the traditional function (e.g., organic carbon and nitrogen removal) in wastewater treatment. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40168-021-01155-1. BioMed Central 2021-10-15 /pmc/articles/PMC8518188/ /pubmed/34649602 http://dx.doi.org/10.1186/s40168-021-01155-1 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Liu, Lei Wang, Yulin Yang, Yu Wang, Depeng Cheng, Suk Hang Zheng, Chunmiao Zhang, Tong Charting the complexity of the activated sludge microbiome through a hybrid sequencing strategy |
title | Charting the complexity of the activated sludge microbiome through a hybrid sequencing strategy |
title_full | Charting the complexity of the activated sludge microbiome through a hybrid sequencing strategy |
title_fullStr | Charting the complexity of the activated sludge microbiome through a hybrid sequencing strategy |
title_full_unstemmed | Charting the complexity of the activated sludge microbiome through a hybrid sequencing strategy |
title_short | Charting the complexity of the activated sludge microbiome through a hybrid sequencing strategy |
title_sort | charting the complexity of the activated sludge microbiome through a hybrid sequencing strategy |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8518188/ https://www.ncbi.nlm.nih.gov/pubmed/34649602 http://dx.doi.org/10.1186/s40168-021-01155-1 |
work_keys_str_mv | AT liulei chartingthecomplexityoftheactivatedsludgemicrobiomethroughahybridsequencingstrategy AT wangyulin chartingthecomplexityoftheactivatedsludgemicrobiomethroughahybridsequencingstrategy AT yangyu chartingthecomplexityoftheactivatedsludgemicrobiomethroughahybridsequencingstrategy AT wangdepeng chartingthecomplexityoftheactivatedsludgemicrobiomethroughahybridsequencingstrategy AT chengsukhang chartingthecomplexityoftheactivatedsludgemicrobiomethroughahybridsequencingstrategy AT zhengchunmiao chartingthecomplexityoftheactivatedsludgemicrobiomethroughahybridsequencingstrategy AT zhangtong chartingthecomplexityoftheactivatedsludgemicrobiomethroughahybridsequencingstrategy |