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Related Articles What can you do with 0.1x genome coverage? A case study based on a genome survey of the scuttle fly Megaselia scalaris (Phoridae).
BMC Genomics. 2009 Aug 18;10(1):382
Authors: Rasmussen DA, Noor MA
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 (0.05x-0.1x) 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. CONCLUSIONS: We conclude that low-coverage genome surveys are effective at generating useful information about organisms currently lacking genomic sequence data.
PMID: 19689807 [PubMed - as supplied by publisher]
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Related Articles What can you do with 0.1x genome coverage? A case study based on a genome survey of the scuttle fly Megaselia scalaris (Phoridae).
BMC Genomics. 2009 Aug 18;10(1):382
Authors: Rasmussen DA, Noor MA
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 (0.05x-0.1x) 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. CONCLUSIONS: We conclude that low-coverage genome surveys are effective at generating useful information about organisms currently lacking genomic sequence data.
PMID: 19689807 [PubMed - as supplied by publisher]
More...
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