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Related Concept Videos

Next-generation Sequencing03:00

Next-generation Sequencing

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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.
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features....
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Amplification of Near Full-length HIV-1 Proviruses for Next-Generation Sequencing
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Fluorescent amplification for next generation sequencing (FA-NGS) library preparation.

Jennifer Chiniquy1,2, Megan E Garber1,3, Aindrila Mukhopadhyay1

  • 1Biological Systems & Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA.

BMC Genomics
|January 30, 2020
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Summary

This study introduces fluorescent amplification for next generation sequencing (FA-NGS) library preparation, streamlining workflows with real-time quantitative PCR (qPCR) for faster, more accurate results. The FA-NGS method reduces steps and improves quality control, minimizing user error in high-throughput sequencing.

Keywords:
EchoHigh-throughputLibrary preparationNGSNext generation sequencingSYBR greenqPCR

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Area of Science:

  • Molecular Biology
  • Genomics
  • Biotechnology

Background:

  • Next-generation sequencing (NGS) library preparation is labor-intensive and involves end-of-process quality control (QC).
  • Increasing throughput exacerbates challenges with conventional multiplexed library preparation.

Purpose of the Study:

  • To develop a streamlined, high-throughput NGS workflow.
  • To implement single-tube, single-reagent QC during library preparation.

Main Methods:

  • Modified conventional workflows by replacing PCR and quantification with real-time quantitative PCR (qPCR) using SYBR Green I.
  • Implemented melting curve analysis for intermediate QC.
  • Developed a software toolkit for data analysis and pooling instructions.

Main Results:

  • qPCR enabled direct, single-tube library quantification and pooling without extra reagents.
  • Melting curve analysis confirmed successful amplification.
  • Sequencing data showed even representation of indexed libraries, validating qPCR-based pooling calculations.
  • FA-NGS was successfully applied to plasmid and bacterial genome libraries.

Conclusions:

  • The FA-NGS workflow reduces overall steps and risk of user error.
  • Melting curve analysis effectively identifies library failures before sequencing.
  • FA-NGS shows versatility for various library types beyond plasmids and bacterial genomes.