ArticlePloS one2012
Breakdown of phylogenetic signal: a survey of microsatellite densities in 454 shotgun sequences from 154 non model eukaryote species.
Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed.
- Article
- Genome-Wide Development and Characterization of Microsatellite Markers in the Great Web-Spinning SawflyEcology and evolution · 2024Article
- De Novo Mining and Validating Novel Microsatellite Markers to Assess Genetic Diversity inGenes · 2023Article
- Development of polymorphic microsatellites for genetic studies of white scar oyster (Crassostrea belcheri) using paired-end shotgun sequencing.Molecular biology reports · 2021Article
- The taxonomic significance of ddRADseq based microsatellite markers in the closely related species of Heracleum (Apiaceae).PloS one · 2020Article
- Development of Microsatellite Markers for the Nipa Palm Hispid Beetle,The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2018Article
- Article
- Article
- Bulk development and stringent selection of microsatellite markers in the western flower thrips Frankliniella occidentalis.Scientific reports · 2016Article
- Development and Characterization of Novel Microsatellite Markers for the Peach Fruit Moth Carposina sasakii (Lepidoptera: Carposinidae) Using Next-Generation Sequencing.International journal of molecular sciences · 2016Article
- Refinement of the karyological aspects of Psidium guineense (Swartz, 1788): a comparison with Psidium guajava (Linnaeus, 1753).Comparative cytogenetics · 2016Article
- SSR markers: a tool for species identification in Psidium (Myrtaceae).Molecular biology reports · 2015Article
- Next generation sequencing and FISH reveal uneven and nonrandom microsatellite distribution in two grasshopper genomes.Chromosoma · 2015Article
- Using Next Generation RAD Sequencing to Isolate Multispecies Microsatellites for Pilosocereus (Cactaceae).PloS one · 2015Article
- Microsatellite abundance across the Anthozoa and Hydrozoa in the phylum Cnidaria.BMC genomics · 2014Article
- Can novel genetic analyses help to identify low-dispersal marine invasive species?Ecology and evolution · 2014Article
- Microsatellites in the genome of the edible mushroom, Volvariella volvacea.BioMed research international · 2014Article
- Article
- Isolation, via 454 sequencing, and characterization of microsatellites for Vachellia farnesiana (Fabaceae: Mimosoideae).Applications in plant sciences · 2013Article
- Development of microsatellite markers for two Australian Persoonia (Proteaceae) species using two different techniques.Applications in plant sciences · 2013Article
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4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Microsatellites are ubiquitous in Eukaryotic genomes. A more complete understanding of their origin and spread can be gained from a comparison of their distribution within a phylogenetic context. Although information for model species is accumulating rapidly, it is insufficient due to a lack of species depth, thus intragroup variation is necessarily ignored. As such, apparent differences between groups may be overinflated and generalizations cannot be inferred until an analysis of the variation that exists within groups has been conducted. In this study, we examined microsatellite coverage and motif patterns from 454 shotgun sequences of 154 Eukaryote species from eight distantly related phyla (Cnidaria, Arthropoda, Onychophora, Bryozoa, Mollusca, Echinodermata, Chordata and Streptophyta) to test if a consistent phylogenetic pattern emerges from the microsatellite composition of these species. It is clear from our results that data from model species provide incomplete information regarding the existing microsatellite variability within the Eukaryotes. A very strong heterogeneity of microsatellite composition was found within most phyla, classes and even orders. Autocorrelation analyses indicated that while microsatellite contents of species within clades more recent than 200 Mya tend to be similar, the autocorrelation breaks down and becomes negative or non-significant with increasing divergence time. Therefore, the age of the taxon seems to be a primary factor in degrading the phylogenetic pattern present among related groups. The most recent classes or orders of Chordates still retain the pattern of their common ancestor. However, within older groups, such as classes of Arthropods, the phylogenetic pattern has been scrambled by the long independent evolution of the lineages.
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