Literature DB >> 20601439

Next-generation sequencing techniques for eukaryotic microorganisms: sequencing-based solutions to biological problems.

Minou Nowrousian1.   

Abstract

Over the past 5 years, large-scale sequencing has been revolutionized by the development of several so-called next-generation sequencing (NGS) technologies. These have drastically increased the number of bases obtained per sequencing run while at the same time decreasing the costs per base. Compared to Sanger sequencing, NGS technologies yield shorter read lengths; however, despite this drawback, they have greatly facilitated genome sequencing, first for prokaryotic genomes and within the last year also for eukaryotic ones. This advance was possible due to a concomitant development of software that allows the de novo assembly of draft genomes from large numbers of short reads. In addition, NGS can be used for metagenomics studies as well as for the detection of sequence variations within individual genomes, e.g., single-nucleotide polymorphisms (SNPs), insertions/deletions (indels), or structural variants. Furthermore, NGS technologies have quickly been adopted for other high-throughput studies that were previously performed mostly by hybridization-based methods like microarrays. This includes the use of NGS for transcriptomics (RNA-seq) or the genome-wide analysis of DNA/protein interactions (ChIP-seq). This review provides an overview of NGS technologies that are currently available and the bioinformatics analyses that are necessary to obtain information from the flood of sequencing data as well as applications of NGS to address biological questions in eukaryotic microorganisms.

Mesh:

Year:  2010        PMID: 20601439      PMCID: PMC2937339          DOI: 10.1128/EC.00123-10

Source DB:  PubMed          Journal:  Eukaryot Cell        ISSN: 1535-9786


  116 in total

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Review 3.  Genome-wide transcription and the implications for genomic organization.

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Review 4.  A bioinformatician's guide to metagenomics.

Authors:  Victor Kunin; Alex Copeland; Alla Lapidus; Konstantinos Mavromatis; Philip Hugenholtz
Journal:  Microbiol Mol Biol Rev       Date:  2008-12       Impact factor: 11.056

Review 5.  Principles and challenges of genomewide DNA methylation analysis.

Authors:  Peter W Laird
Journal:  Nat Rev Genet       Date:  2010-03       Impact factor: 53.242

6.  Structure and base sequence in the cohesive ends of bacteriophage lambda DNA.

Authors:  R Wu; A D Kaiser
Journal:  J Mol Biol       Date:  1968-08-14       Impact factor: 5.469

Review 7.  Assembly algorithms for next-generation sequencing data.

Authors:  Jason R Miller; Sergey Koren; Granger Sutton
Journal:  Genomics       Date:  2010-03-06       Impact factor: 5.736

8.  Survey of the transcriptome of Aspergillus oryzae via massively parallel mRNA sequencing.

Authors:  Bin Wang; Guangwu Guo; Chao Wang; Ying Lin; Xiaoning Wang; Mouming Zhao; Yong Guo; Minghui He; Yong Zhang; Li Pan
Journal:  Nucleic Acids Res       Date:  2010-04-14       Impact factor: 16.971

Review 9.  RNA-Seq: a revolutionary tool for transcriptomics.

Authors:  Zhong Wang; Mark Gerstein; Michael Snyder
Journal:  Nat Rev Genet       Date:  2009-01       Impact factor: 53.242

10.  Aggressive assembly of pyrosequencing reads with mates.

Authors:  Jason R Miller; Arthur L Delcher; Sergey Koren; Eli Venter; Brian P Walenz; Anushka Brownley; Justin Johnson; Kelvin Li; Clark Mobarry; Granger Sutton
Journal:  Bioinformatics       Date:  2008-10-24       Impact factor: 6.937

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  39 in total

Review 1.  Genomics and the future of conservation genetics.

Authors:  Fred W Allendorf; Paul A Hohenlohe; Gordon Luikart
Journal:  Nat Rev Genet       Date:  2010-10       Impact factor: 53.242

Review 2.  Molecular detection, quantification, and diversity evaluation of microalgae.

Authors:  Vinitha Ebenezer; Linda K Medlin; Jang-Seu Ki
Journal:  Mar Biotechnol (NY)       Date:  2011-12-28       Impact factor: 3.619

3.  Evaluation of high-throughput sequencing for identifying known and unknown viruses in biological samples.

Authors:  Justine Cheval; Virginie Sauvage; Lionel Frangeul; Laurent Dacheux; Ghislaine Guigon; Nicolas Dumey; Kevin Pariente; Claudine Rousseaux; Fabien Dorange; Nicolas Berthet; Sylvain Brisse; Ivan Moszer; Hervé Bourhy; Claude Jean Manuguerra; Marc Lecuit; Ana Burguiere; Valérie Caro; Marc Eloit
Journal:  J Clin Microbiol       Date:  2011-06-29       Impact factor: 5.948

4.  Effects of short read quality and quantity on a de novo vertebrate transcriptome assembly.

Authors:  T I Garcia; Y Shen; J Catchen; A Amores; M Schartl; J Postlethwait; R B Walter
Journal:  Comp Biochem Physiol C Toxicol Pharmacol       Date:  2011-06-01       Impact factor: 3.228

Review 5.  Novel sequencing-based strategies for high-throughput discovery of genetic mutations underlying inherited antibody deficiency disorders.

Authors:  Hong-Ying Wang; Ashish Jain
Journal:  Curr Allergy Asthma Rep       Date:  2011-10       Impact factor: 4.806

6.  Applications for next-generation sequencing in fish ecotoxicogenomics.

Authors:  Alvine C Mehinto; Christopher J Martyniuk; Daniel J Spade; Nancy D Denslow
Journal:  Front Genet       Date:  2012-04-25       Impact factor: 4.599

7.  Combining laser microdissection and RNA-seq to chart the transcriptional landscape of fungal development.

Authors:  Ines Teichert; Gabriele Wolff; Ulrich Kück; Minou Nowrousian
Journal:  BMC Genomics       Date:  2012-09-27       Impact factor: 3.969

8.  Conveniently pre-tagged and pre-packaged: extended molecular identification and metagenomics using complete metazoan mitochondrial genomes.

Authors:  Agnes Dettai; Cyril Gallut; Sophie Brouillet; Joel Pothier; Guillaume Lecointre; Régis Debruyne
Journal:  PLoS One       Date:  2012-12-14       Impact factor: 3.240

9.  Quantitative analysis of focused a-to-I RNA editing sites by ultra-high-throughput sequencing in psychiatric disorders.

Authors:  Hu Zhu; Daniel J Urban; Jared Blashka; Matthew T McPheeters; Wesley K Kroeze; Piotr Mieczkowski; James C Overholser; George J Jurjus; Lesa Dieter; Gouri J Mahajan; Grazyna Rajkowska; Zefeng Wang; Patrick F Sullivan; Craig A Stockmeier; Bryan L Roth
Journal:  PLoS One       Date:  2012-08-17       Impact factor: 3.240

10.  The bench scientist's guide to statistical analysis of RNA-Seq data.

Authors:  Craig R Yendrek; Elizabeth A Ainsworth; Jyothi Thimmapuram
Journal:  BMC Res Notes       Date:  2012-09-14
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