What can you do with 0.1× genome coverage? A case study based on a genome survey of the scuttle fly <it>Megaselia scalaris </it>(Phoridae)

<p>Abstract</p> <p>Background</p> <p>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 sequ...

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Main Authors: Noor Mohamed AF, Rasmussen David A
Format: Article
Language:English
Published: BMC 2009-08-01
Series:BMC Genomics
Online Access:http://www.biomedcentral.com/1471-2164/10/382
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spelling doaj-40364e5266fd4a0aa8b770a5ccb9a7f52020-11-24T21:52:53ZengBMCBMC Genomics1471-21642009-08-0110138210.1186/1471-2164-10-382What can you do with 0.1× genome coverage? A case study based on a genome survey of the scuttle fly <it>Megaselia scalaris </it>(Phoridae)Noor Mohamed AFRasmussen David A<p>Abstract</p> <p>Background</p> <p>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 <it>Megaselia scalaris </it>and evaluate the utility of our low-coverage GSS approach.</p> <p>Results</p> <p>Random pyrosequencing of the <it>M. scalaris </it>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 <it>M. scalaris</it>.</p> <p>Conclusion</p> <p>We conclude that low-coverage genome surveys are effective at generating useful information about organisms currently lacking genomic sequence data.</p> http://www.biomedcentral.com/1471-2164/10/382
collection DOAJ
language English
format Article
sources DOAJ
author Noor Mohamed AF
Rasmussen David A
spellingShingle Noor Mohamed AF
Rasmussen David A
What can you do with 0.1× genome coverage? A case study based on a genome survey of the scuttle fly <it>Megaselia scalaris </it>(Phoridae)
BMC Genomics
author_facet Noor Mohamed AF
Rasmussen David A
author_sort Noor Mohamed AF
title What can you do with 0.1× genome coverage? A case study based on a genome survey of the scuttle fly <it>Megaselia scalaris </it>(Phoridae)
title_short What can you do with 0.1× genome coverage? A case study based on a genome survey of the scuttle fly <it>Megaselia scalaris </it>(Phoridae)
title_full What can you do with 0.1× genome coverage? A case study based on a genome survey of the scuttle fly <it>Megaselia scalaris </it>(Phoridae)
title_fullStr What can you do with 0.1× genome coverage? A case study based on a genome survey of the scuttle fly <it>Megaselia scalaris </it>(Phoridae)
title_full_unstemmed What can you do with 0.1× genome coverage? A case study based on a genome survey of the scuttle fly <it>Megaselia scalaris </it>(Phoridae)
title_sort what can you do with 0.1× genome coverage? a case study based on a genome survey of the scuttle fly <it>megaselia scalaris </it>(phoridae)
publisher BMC
series BMC Genomics
issn 1471-2164
publishDate 2009-08-01
description <p>Abstract</p> <p>Background</p> <p>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 <it>Megaselia scalaris </it>and evaluate the utility of our low-coverage GSS approach.</p> <p>Results</p> <p>Random pyrosequencing of the <it>M. scalaris </it>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 <it>M. scalaris</it>.</p> <p>Conclusion</p> <p>We conclude that low-coverage genome surveys are effective at generating useful information about organisms currently lacking genomic sequence data.</p>
url http://www.biomedcentral.com/1471-2164/10/382
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