Literature DB >> 19689807

What can you do with 0.1x genome coverage? A case study based on a genome survey of the scuttle fly Megaselia scalaris (Phoridae).

David A Rasmussen1, Mohamed A F Noor.   

Abstract

BACKGROUND: The declining cost of DNA sequencing is making genome sequencing a feasible option for more organisms, including many of interest to ecologists and evolutionary biologists. While obtaining high-depth, completely assembled genome sequences for most non-model organisms remains challenging, low-coverage genome survey sequences (GSS) can provide a wealth of biologically useful information at low cost. Here, using a random pyrosequencing approach, we sequence the genome of the scuttle fly Megaselia scalaris and evaluate the utility of our low-coverage GSS approach.
RESULTS: Random pyrosequencing of the M. scalaris genome provided a depth of coverage (0.05x0.1x) much lower than typical GSS studies. We demonstrate that, even with extremely low-coverage sequencing, bioinformatics approaches can yield extensive information about functional and repetitive elements. We also use our GSS data to develop genomic resources such as a nearly complete mitochondrial genome sequence and microsatellite markers for M. scalaris.
CONCLUSION: We conclude that low-coverage genome surveys are effective at generating useful information about organisms currently lacking genomic sequence data.

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Mesh:

Year:  2009        PMID: 19689807      PMCID: PMC2735751          DOI: 10.1186/1471-2164-10-382

Source DB:  PubMed          Journal:  BMC Genomics        ISSN: 1471-2164            Impact factor:   3.969


  31 in total

Review 1.  Repbase Update, a database of eukaryotic repetitive elements.

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Review 2.  What transposable elements tell us about genome organization and evolution: the case of Drosophila.

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3.  The dog genome: survey sequencing and comparative analysis.

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4.  Myiasis in Kuwait: nosocomial infections caused by lucilia sericata and Megaselia scalaris.

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Journal:  Am J Trop Med Hyg       Date:  2004-04       Impact factor: 2.345

5.  Repetitive DNA in the pea (Pisum sativum L.) genome: comprehensive characterization using 454 sequencing and comparison to soybean and Medicago truncatula.

Authors:  Jirí Macas; Pavel Neumann; Alice Navrátilová
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6.  ReAS: Recovery of ancestral sequences for transposable elements from the unassembled reads of a whole genome shotgun.

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7.  FlyBase: enhancing Drosophila Gene Ontology annotations.

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8.  Big genomes facilitate the comparative identification of regulatory elements.

Authors:  Brant K Peterson; Emily E Hare; Venky N Iyer; Steven Storage; Laura Conner; Daniel R Papaj; Rick Kurashima; Eric Jang; Michael B Eisen
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9.  VectorBase: a data resource for invertebrate vector genomics.

Authors:  Daniel Lawson; Peter Arensburger; Peter Atkinson; Nora J Besansky; Robert V Bruggner; Ryan Butler; Kathryn S Campbell; George K Christophides; Scott Christley; Emmanuel Dialynas; Martin Hammond; Catherine A Hill; Nathan Konopinski; Neil F Lobo; Robert M MacCallum; Greg Madey; Karine Megy; Jason Meyer; Seth Redmond; David W Severson; Eric O Stinson; Pantelis Topalis; Ewan Birney; William M Gelbart; Fotis C Kafatos; Christos Louis; Frank H Collins
Journal:  Nucleic Acids Res       Date:  2008-11-21       Impact factor: 16.971

10.  Global repeat discovery and estimation of genomic copy number in a large, complex genome using a high-throughput 454 sequence survey.

Authors:  Kankshita Swaminathan; Kranthi Varala; Matthew E Hudson
Journal:  BMC Genomics       Date:  2007-05-24       Impact factor: 3.969

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  25 in total

Review 1.  A guided tour of large genome size in animals: what we know and where we are heading.

Authors:  France Dufresne; Nicholas Jeffery
Journal:  Chromosome Res       Date:  2011-10       Impact factor: 5.239

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Authors:  Deborah Charlesworth; Judith E Mank
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Review 3.  Applications of next generation sequencing in molecular ecology of non-model organisms.

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4.  An Exploration into Fern Genome Space.

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Journal:  Genome Biol Evol       Date:  2015-08-26       Impact factor: 3.416

5.  Genome-wide mining and comparative analysis of microsatellites in three macaque species.

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Journal:  Mol Genet Genomics       Date:  2017-02-03       Impact factor: 3.291

Review 6.  Inference of population history by coupling exploratory and model-driven phylogeographic analyses.

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Review 7.  Integration of molecular functions at the ecosystemic level: breakthroughs and future goals of environmental genomics and post-genomics.

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8.  A shot in the genome: how accurately do shotgun 454 sequences represent a genome?

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9.  Distribution of genes and repetitive elements in the Diabrotica virgifera virgifera genome estimated using BAC sequencing.

Authors:  Brad S Coates; Analiza P Alves; Haichuan Wang; Kimberly K O Walden; B Wade French; Nicholas J Miller; Craig A Abel; Hugh M Robertson; Thomas W Sappington; Blair D Siegfried
Journal:  J Biomed Biotechnol       Date:  2012-08-05

10.  Exploring Pandora's box: potential and pitfalls of low coverage genome surveys for evolutionary biology.

Authors:  Florian Leese; Philipp Brand; Andrey Rozenberg; Christoph Mayer; Shobhit Agrawal; Johannes Dambach; Lars Dietz; Jana S Doemel; William P Goodall-Copstake; Christoph Held; Jennifer A Jackson; Kathrin P Lampert; Katrin Linse; Jan N Macher; Jennifer Nolzen; Michael J Raupach; Nicole T Rivera; Christoph D Schubart; Sebastian Striewski; Ralph Tollrian; Chester J Sands
Journal:  PLoS One       Date:  2012-11-21       Impact factor: 3.240

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