ArticleBMC genomics2009
What can you do with 0.1x genome coverage? A case study based on a genome survey of the scuttle fly Megaselia scalaris (Phoridae).
Article in BMC genomics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
26 citing papers in PubMed, 58 citations in OpenAlex.
- Genomic resources for the scuttle fly Megaselia abdita: a model organism for comparative developmental studies in flies.Development (Cambridge, England) · 2025Article
- Toxins from scratch? Diverse, multimodal gene origins in the predatory robber fly Dasypogon diadema indicate a dynamic venom evolution in dipteran insects.GigaScience · 2019Article
- Characterization of Plastidial and Nuclear SSR Markers for Understanding Invasion Histories and Genetic Diversity ofBiology · 2018Article
- Genome-wide mining and comparative analysis of microsatellites in three macaque species.Molecular genetics and genomics : MGG · 2017Article
- The complete mitochondrial genomes of two freshwater snails provide new protein-coding gene rearrangement models and phylogenetic implications.Parasites & vectors · 2017Article
- Identification and characterization of abundant repetitive sequences in Eragrostis tef cv. Enatite genome.BMC plant biology · 2016Article
- A First Insight into the Genome of the Filter-Feeder Mussel Mytilus galloprovincialis.PloS one · 2016Article
- Mitochondrial genomes of two phlebotomine sand flies, Phlebotomus chinensis and Phlebotomus papatasi (Diptera: Nematocera), the first representatives from the family Psychodidae.Parasites & vectors · 2015Article
- An Exploration into Fern Genome Space.Genome biology and evolution · 2015Article
- Preliminary Genomic Characterization of Ten Hardwood Tree Species from Multiplexed Low Coverage Whole Genome Sequencing.PloS one · 2015Article
- How big is your Y? A genome sequence-based estimate of the size of the male-specific region in Megaselia scalaris.G3 (Bethesda, Md.) · 2014Article
- Patterns of sequencing coverage bias revealed by ultra-deep sequencing of vertebrate mitochondria.BMC genomics · 2014Article
- Genome survey sequencing provides clues into glucosinolate biosynthesis and flowering pathway evolution in allotetrapolyploid Brassica juncea.BMC genomics · 2014Article
- Rapid microsatellite development for tree peony and its implications.BMC genomics · 2013Article
- The repetitive component of the sunflower genome as shown by different procedures for assembling next generation sequencing reads.BMC genomics · 2013Article
- A shot in the genome: how accurately do shotgun 454 sequences represent a genome?BMC research notes · 2012Article
- Exploring Pandora's box: potential and pitfalls of low coverage genome surveys for evolutionary biology.PloS one · 2012Article
- Distribution of genes and repetitive elements in the Diabrotica virgifera virgifera genome estimated using BAC sequencing.Journal of biomedicine & biotechnology · 2012Article
- A guided tour of large genome size in animals: what we know and where we are heading.Chromosome research : an international journal on the molecular, supramolecular and evolutionary aspects of chromosome biology · 2011Review
- Applications of next generation sequencing in molecular ecology of non-model organisms.Heredity · 2011Review
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
backgroundThe 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.
resultsRandom 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.
conclusionWe conclude that low-coverage genome surveys are effective at generating useful information about organisms currently lacking genomic sequence data.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.