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Related Concept Videos

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The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
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DNA sequencing is a fundamental technique that is routinely used in the biological sciences. This method can be applied to a range of questions at different scales - from the sequencing of a cloned DNA fragment or the study of a mutation in a gene up to whole-genome sequencing. However, despite the widespread use of sequencing today, it was not until 1977 that Fredrick Sanger and his collaborators developed the chain-termination method to decode DNA sequences. It relies on the separation of a...
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Updated: Aug 9, 2025

Efficient Nucleic Acid Extraction and 16S rRNA Gene Sequencing for Bacterial Community Characterization
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Efficient and stable metabarcoding sequencing data using a DNBSEQ-G400 sequencer validated by comprehensive community

Xiaohuan Sun1, Yue-Hua Hu2, Jingjing Wang3

  • 1BGI-Shenzhen, Shenzhen 518083, China.

Gigabyte (Hong Kong, China)
|February 24, 2023
PubMed
Summary
This summary is machine-generated.

The DNBSEQ-G400 sequencer accurately characterizes microbial communities using metabarcoding. Its performance is comparable to other machines and sequencing modes, though primer choice significantly impacts results.

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Area of Science:

  • Microbiology
  • Bioinformatics
  • Genomics

Background:

  • Metabarcoding is crucial for microbial community analysis.
  • Sequencing platform choice influences community composition estimates.
  • Evaluating new sequencers like DNBSEQ-G400 is vital for reliable microbiome research.

Purpose of the Study:

  • To assess the metabarcoding performance of the DNBSEQ-G400 sequencer.
  • To compare DNBSEQ-G400 results with other platforms and sequencing modes.
  • To investigate the impact of primer selection on metabarcoding data.

Main Methods:

  • Used 16S and ITS markers for bacterial and fungal community analysis.
  • Employed DNBSEQ-G400 for mock communities and 1144 soil samples.
  • Conducted technical replicates and compared with MiSeq platform.

Main Results:

  • DNBSEQ-G400 achieved high accuracy in sequencing bacterial and fungal communities.
  • Results showed high correlation across same-model machines and different sequencing modes (SE 400bp, PE 200bp).
  • Moderate differences observed between DNBSEQ-G400 and MiSeq; primer choice caused larger variations.

Conclusions:

  • DNBSEQ-G400 demonstrates high performance and accuracy for short-read microbial metabarcoding.
  • Care is needed when analyzing metabarcoding data from different experiments and platforms.
  • Generated datasets support further microbial diversity investigations.