Literature DB >> 22289569

A cost-effective and universal strategy for complete prokaryotic genomic sequencing proposed by computer simulation.

Jingwei Jiang1, Jun Li, Hoi Shan Kwan, Chun Hang Au, Patrick Tik Wan Law, Lei Li, Kai Man Kam, Julia Mei Lun Ling, Frederick C Leung.   

Abstract

BACKGROUND: Pyrosequencing techniques allow scientists to perform prokaryotic genome sequencing to achieve the draft genomic sequences within a few days. However, the assemblies with shotgun sequencing are usually composed of hundreds of contigs. A further multiplex PCR procedure is needed to fill all the gaps and link contigs into complete chromosomal sequence, which is the basis for prokaryotic comparative genomic studies. In this article, we study various pyrosequencing strategies by simulated assembling from 100 prokaryotic genomes.
FINDINGS: Simulation study shows that a single end 454 Jr. run combined with a paired end 454 Jr. run (8 kb library) can produce: 1) ~90% of 100 assemblies with < 10 scaffolds and ~95% of 100 assemblies with < 150 contigs; 2) average contig N50 size is over 331 kb; 3) average single base accuracy is > 99.99%; 4) average false gene duplication rate is < 0.7%; 5) average false gene loss rate is < 0.4%.
CONCLUSIONS: A single end 454 Jr. run combined with a paired end 454 Jr. run (8 kb library) is a cost-effective way for prokaryotic whole genome sequencing. This strategy provides solution to produce high quality draft assemblies for most of prokaryotic organisms within days. Due to the small number of assembled scaffolds, the following multiplex PCR procedure (for gap filling) would be easy. As a result, large scale prokaryotic whole genome sequencing projects may be finished within weeks.

Entities:  

Year:  2012        PMID: 22289569      PMCID: PMC3296665          DOI: 10.1186/1756-0500-5-80

Source DB:  PubMed          Journal:  BMC Res Notes        ISSN: 1756-0500


  36 in total

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10.  MetaSim: a sequencing simulator for genomics and metagenomics.

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Review 1.  High-throughput sequencing technologies in the detection of livestock pathogens, diagnosis, and zoonotic surveillance.

Authors:  Godagama Gamaarachchige Dinesh Suminda; Srishti Bhandari; Yoonkyung Won; Umesh Goutam; Krishna Kanth Pulicherla; Young-Ok Son; Mrinmoy Ghosh
Journal:  Comput Struct Biotechnol J       Date:  2022-09-26       Impact factor: 6.155

  1 in total

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