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135 results for “microsatellite marker”
Data from: Measuring population differentiation using GST or D? A simulation study with microsatellite DNA markers under a finite island model and nonequilibrium conditions
Genetic differentiation of populations is a key question in population genetic investigations. Wright's FST (and its relatives such as GST) has been a standard measure of differentiation. However, the deficiencies of these indexes and their significance have been increasing realized in recent years, leading to some new measures being proposed, such as Jost's (2008) D. This has also stimulated some considerable debate which, in certain sense, makes empirical biologists even more confused, for example, on statistics which should be used for estimating population differentiation. Here we report a simulation study with neutral microsatellite DNA loci under a finite island model to compare the performance of GST and D, under non-equilibrium conditions, in particular. Our results suggest that there exist fundamental differences between the two statistics and neither GST nor D operate satisfactorily in all situations for quantifying differentiation. D is very sensitive to mutation models but GST noticeably less so ...
Data from: Characterizing genic and non-genic molecular markers: comparison of microsatellites and SNPs
The implications of transitioning to single nucleotide polymorphism (SNPs) from microsatellite markers (MSs) have been investigated in a number of population genetics studies, but the effect of genomic location on the amount of information each type of marker reveals has not been explored in detail. We developed novel SNP markers flanking 1 kb regions of 13 genic (within gene or <1 kb away from gene) and 13 nongenic (>10 kb from annotated gene) MSs in the threespine stickleback genome to obtain comparable data for both types of markers. We analysed patterns of genetic diversity and divergence on various geographic scales after converting the SNP loci within each genomic region into haplotypes. Marker type (SNP haplotype or MS) and location (genic or nongenic) significantly affected most estimates of population diversity and divergence. Between-lineage divergence was significantly higher in SNP haplotypes (genic and nongenic), however, within-lineage divergence was similar between marker types. Most divergence and diversity measures were uncorrelated between markers, except for population differentiation which was correlated between MSs and SNP haplotypes (both genic and nongenic). Broad-scale population structure and assignment were similarly resolved by both marker types, however, only the MSs were able to delimit fine-scale population structuring, particularly when genic and nongenic markers were combined. These results demonstrate that estimates of genetic variability and differentiation among populations can be strongly influenced by marker type, their genomic location in relation to genes and by the interaction of these two factors. This highlights the importance of having an awareness of the inherent strengths and limitations associated with different molecular tools to select the most appropriate methods for accurately addressing various ecological and evolutionary questions.
Data from: Mining microsatellite markers from public expressed sequence tags databases for the study of threatened plants
Background: Simple Sequence Repeats (SSRs) are widely used in population genetic studies but their classical development is costly and time-consuming. The ever-increasing available DNA datasets generated by high-throughput techniques offer an inexpensive alternative for SSRs discovery. Expressed Sequence Tags (ESTs) have been widely used as SSR source for plants of economic relevance but their application to non-model species is still modest. Methods: Here, we explored the use of publicly available ESTs (GenBank at the National Center for Biotechnology Information-NCBI) for SSRs development in non-model plants, focusing on genera listed by the International Union for the Conservation of Nature (IUCN). We also search two model genera with fully annotated genomes for EST-SSRs, Arabidopsis and Oryza, and used them as controls for genome distribution analyses. Overall, we downloaded 16 031 555 sequences for 258 plant genera which were mined for SSRsand their primers with the help of QDD1. Genome distribution analyses in Oryza and Arabidopsis were done by blasting the sequences with SSR against the Oryza sativa and Arabidopsis thaliana reference genomes implemented in the Basal Local Alignment Tool (BLAST) of the NCBI website. Finally, we performed an empirical test to determine the performance of our EST-SSRs in a few individuals from four species of two eudicot genera, Trifolium and Centaurea. Results: We explored a total of 14 498 726 EST sequences from the dbEST database (NCBI) in 257 plant genera from the IUCN Red List. We identify a very large number (17 102) of ready-to-test EST-SSRs in most plant genera (193) at no cost. Overall, dinucleotide and trinucleotide repeats were the prevalent types but the abundance of the various types of repeat differed between taxonomic groups. Control genomes revealed that trinucleotide repeats were mostly located in coding regions while dinucleotide repeats were largely associated with untranslated regions. Our results from the empirical test revealed considerable amplification success and transferability between congenerics. Conclusions: The present work represents the first large-scale study developing SSRs by utilizing publicly accessible EST databases in threatened plants. Here we provide a very large number of ready-to-test EST-SSR (17 102) for 193 genera. The cross-species transferability suggests that the number of possible target species would be large. Since trinucleotide repeats are abundant and mainly linked to exons they might be useful in evolutionary and conservation studies. Altogether, our study highly supports the use of EST databases as an extremely affordable and fast alternative for SSR developing in threatened plants.
Data from: Genome-wide gene-associated microsatellite markers for the model invasive ascidian, Ciona intestinalis species complex
The vase tunicate, Ciona intestinalis species complex, has become a good model for ecological and evolutionary studies, especially those focusing on microevolution associated with rapidly changing environments. However, genome-wide genetic markers are still lacking. Here we characterized a large set of genome-wide gene-associated microsatellite markers for C. intestinalis spA (= C. robusta). Bioinformatic analysis identified 4654 microsatellites from expressed sequence tags (ESTs), 2126 of which successfully assigned to chromosomes were selected for further analysis. Based on the distribution evenness on chromosomes, function annotation and suitability for primer design, we chose 545 candidate microsatellites for further characterization. After amplification validation and variation assessment, 218 loci were polymorphic in at least one of the two populations collected from the coast of Arenys de Mar, Spain (N = 24 - 48) and Cape Town, South Africa (N = 24 - 33). The number of alleles, observed heterozygosity and expected heterozygosity ranged from two to 11, 0 to 0.833 and 0.021 to 0.818, and from two to 10, 0 to 0.879 and 0.031 to 0.845 for the Spanish and African populations, respectively. When all microsatellites were tested for cross-species utility, only 60 loci (25.8%) could be successfully amplified and all loci were polymorphic in C. intestinalis spB. A high level of genome-wide polymorphism is likely responsible for the low transferability. The large set of microsatellite markers characterized here is expected to provide a useful genome-wide resource for ecological and evolutionary studies using C. intestinalis as a model.
Data from: Microsatellite loci for dreissenid mussels (Mollusca: Bivalvia: Dreissenidae) and relatives: markers for assessing exotic and native populations
We developed and tested 14 new polymorphic microsatellite loci for dreissenid mussels, including the two species that have invaded many freshwater habitats in Eurasia and North America, where they cause serious industrial fouling damage and ecological alterations. These new loci will aid our understanding of their genetic patterns in invasive populations as well as throughout their native Ponto-Caspian distributions. Eight new loci for the zebra mussel Dreissena polymorpha and six for the quagga mussel D. rostriformis bugensis were compared with new results from six previously published loci to generate a robust molecular toolkit for dreissenid mussels and their relatives. Taxa tested include D. polymorpha , D. r. bugensis , D. r. grimmi , D. stankovici , the "living fossil" Congeria kusceri , and the dark false mussel Mytilopsis leucophaeata (the latter also is invasive). Overall, most of the 24 zebra mussel (N=583) and 13 quagga mussel (N=269) population samples conformed to Hardy-Weinberg equilibrium expectations for the new loci following Bonferroni correction. The 11 loci (eight new, three previously published) evaluated for D. polymorpha averaged 35.1 alleles and 0.72 mean observed heterozygosity per locus, and 25.3 and 0.75 for the nine loci (six new, three previously published) developed for D. r. bugensis . All but three of these loci successfully amplified the other species of Dreissena , and all but one also amplified Congeria and Mytilopsis . All species and populations tested were significantly divergent using the microsatellite data, with neighbor-joining trees reflecting their evolutionary relationships; our results reveal broad utility for resolving their biogeographic, evolutionary, population, and ecological patterns.
Data from: Heterozygosity-fitness correlations in zebra finches: microsatellite markers can be better than their reputation
Numerous studies have reported associations between heterozygosity in microsatellite markers and fitness-related traits (heterozygosity-fitness correlations, HFCs). However, it has often been questioned whether HFCs reflect general inbreeding depression, because a small panel of microsatellite markers does not reflect very well an individual's inbreeding coefficient (F) as calculated from a pedigree. Here we challenge this prevailing view. Due to chance events during Mendelian segregation, an individual's realized proportion of the genome that is identical by descent (IBD) may substantially deviate from the pedigree-based expectation (i.e. F). This Mendelian noise may result in a weak correlation between F and multi-locus heterozygosity, but this does not imply that multi-locus heterozygosity is a bad estimator of realized IBD. We examined correlations between 11 fitness-related traits measured in up to 1,192 captive zebra finches and three measures of inbreeding: (1) heterozygosity across 11 microsatellite markers, (2) heterozygosity across 1,359 SNP markers, and (3) F, based on a 5-generation pedigree. All 11 phenotypic traits showed positive relationships with measures of heterozygosity, especially traits that are most closely related to fitness. Remarkably, the small panel of microsatellite markers produced equally strong HFCs as the large panel of SNP markers, and both marker-based approaches produced stronger correlations with phenotypes than the pedigree-based F. We argue that a small panel of microsatellites with high allelic richness may better reflect an individual's realized IBD than previously appreciated, especially in species like the zebra finch, where much of the genome is inherited in large blocks that rarely experience cross-over during meiosis.
Phylogeographic structure and putative migration pathway of Sogatella furcifera in China based on microsatellite markers
<p>Sequencing data of 12 microsatellite loci from 25 populations of in China.</p>
Fig. 3 in Testing The Microsatellites-Pcr Markers For Genetic Diversity Research Of Alien Ponto-Caspian Amphipod Pontogammarus Robustoides G. O. Sars, 1894
Fig. 3. Microsatellites amplification of Pontogammarus robustoides from Pļaviņas Reservoir used primer Gapu-17.
New set of microsatellite markers for the great-billed seed-finch (Sporophila maximiliani – Passeriformes: Thraupidae): tools for inspection and conservation
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Data from: Development of conserved microsatellite markers of high cross-species utility in bat species (Vespertilionidae, Chiroptera, Mammalia)
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Data from: Mining microsatellite markers from public expressed sequence tags databases for the study of threatened plants
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Data from: Heterozygosity-fitness correlations in zebra finches: microsatellite markers can be better than their reputation
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Data from: An empirical review: characteristics of plant microsatellite markers that confer higher levels of genetic variation
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Data from: Development of MHC-linked microsatellite markers in the domestic cat and their use to evaluate MHC diversity in domestic cats, cheetahs and Gir lions.
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Data from: Microsatellite loci for dreissenid mussels (Mollusca: Bivalvia: Dreissenidae) and relatives: markers for assessing exotic and native populations
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Data from: Measuring population differentiation using GST or D? A simulation study with microsatellite DNA markers under a finite island model and nonequilibrium conditions
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Data from: Characterizing genic and non-genic molecular markers: comparison of microsatellites and SNPs
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Data from: Characterization and high cross-species transferability of microsatellite markers from the floral transcriptome of Aspidistra saxicola (Asparagaceae)
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Data from: Genome-wide gene-associated microsatellite markers for the model invasive ascidian, Ciona intestinalis species complex
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Data from: De novo discovery and multiplexed amplification of microsatellite markers for black alder (Alnus glutinosa) and related species using SSR-enriched shotgun pyrosequencing.
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