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

摘要: The declining cost of DNA sequencing is making genome a feasible option for more organisms, including many interest to ecologists and evolutionary biologists. While obtaining high-depth, completely assembled sequences most non-model organisms remains challenging, low-coverage survey (GSS) can provide wealth biologically useful information at low cost. Here, using random pyrosequencing approach, we sequence the scuttle fly Megaselia scalaris evaluate utility our GSS approach. Random M. provided depth coverage (0.05x-0.1x) much lower than typical studies. We demonstrate that, even with extremely sequencing, bioinformatics approaches yield extensive about functional repetitive elements. also use data develop genomic resources such as nearly complete mitochondrial microsatellite markers scalaris. conclude that surveys are effective generating currently lacking data.