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6 results for “multilocus markers”
A large-scale systematic framework of Chinese snakes based on a unified multilocus marker system
Snakes are one of the most diverse groups of terrestrial vertebrates, with approximately 3500 extant species, some of which are closely related to human life. A robust phylogeny and taxonomy of snakes is crucial for us to know, study, protect and make use of them. For a large group such as snakes, cross-study data utilization is important which can be facilitated by standardization of the loci used for systematic analyses. In this study, we combined 5 mitochondrial markers, 19 vertebrate-universal nuclear protein coding (NPC) markers and 72 snake-specific noncoding intron markers, and generated a unified multilocus marker system for studies of snake systematics. This marker system is an addition to the squamate conserved locus set compiled for large-scale sequence capture experiments. We applied this marker system to over 440 snake samples and constructed the currently most comprehensive systematics framework of the snakes in China. Robust snake phylogenetic relationships were recovered at both deep and shallow evolutionary depths, demonstrating the usefulness of this multilocus marker system. Discordance was revealed by a parallel comparison between the snake tree based on our multilocus marker system and that based on only the mitochondrial loci, highlighting the necessity of using multiple marker types to better understand the snake evolutionary histories. The divergence times of different snake groups were estimated with the multilocus data set. Our comprehensive snake tree not only confirms many important nodes inferred in previous studies but also contributes new insights into the phylogenetic relationships among snakes. Suggestions are made for the current snake taxonomy.
A large-scale systematic framework of Chinese snakes based on a unified multilocus marker system
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Data from: Multilocus microsatellite markers for molecular typing of Candida tropicalis isolates
Background: Candida tropicalis is considered to be the leading pathogen causing nosocomial fungemia and hepatosplenic fungal infections in patients with cancer, particularly those with leukemia. Microsatellite-based typing methods using sets of genetic markers have been developed and reported for population structure analysis of C. albicans, C. glabrata, and C. parapsilosis, but no studies have been published for genetic analysis of C. tropicalis. The objective of this study was to develop new microsatellite loci that have the ability to distinguish among C. tropicalis isolates. Results: DNA sequences containing over 10 bi- or tri-nucleotide repeats were selected from the C. tropicalis genome database. Thirty PCR primers sets specific for the microsatellite loci were designed and tested using eight clinically independent isolates. According to the amplification efficiency, specificity, and observed polymorphisms, eight markers were selected for further population structure analysis and molecular typing. Sixty-five independent C. tropicalis isolates were genotyped using these 8 markers. Based on these analyses, six microsatellite loci were confirmed, although two loci were found to be with unstable flanking areas. The six polymorphic loci displayed 4–22 alleles and 7–27 genotypes. The discriminatory power of the six loci ranged from 0.70 to 0.95. Genotyping results obtained by microsatellite analysis were compared to PCR-fingerprinting and multi-locus sequence typing (MLST). The comparisons showed that microsatellite analysis and MLST had the similar discriminatory power for C. tropicalis, which were more powerful than PCR-fingerprinting. Conclusions: This is the first attempt to develop new microsatellite loci for C. tropicalis. These newly developed markers will be a valuable resource for the differentiation of C. tropicalis isolates. More C. tropicalis isolates will need to be sequenced and analyzed in order to fully show the potential of these newly developed microsatellite markers.
Figure 4. Individual multilocus genotype clustering analysis for Podarcis carbonelli. A in Recent evolutionary history of the Iberian endemic lizards Podarcis bocagei (Seoane, 1884) and Podarcis carbonelli Pérez-Mellado, 1981 (Squamata: Lacertidae) revealed by allozyme and microsatellite markers
Figure 4. Individual multilocus genotype clustering analysis for Podarcis carbonelli. A, inferred population structure from the number of clusters (K) = 2 to 5. These plots were obtained from the runs producing the highest values of Ln probability for each value of K, assuming correlated allele frequencies. In these plots, each individual is represented by a column divided into K segments, the size of each corresponding to the individual's estimated membership fraction in each of the K clusters. See Table 1 for locality name abbreviations. B, variation of the value of DK with the number of clusters, following Evanno et al. (2005). C, pie charts representing the mean proportion of membership for K = 4 (chosen by the previous method) for each locality.
Figure 3. Individual multilocus genotype clustering analysis for Podarcis bocagei. A in Recent evolutionary history of the Iberian endemic lizards Podarcis bocagei (Seoane, 1884) and Podarcis carbonelli Pérez-Mellado, 1981 (Squamata: Lacertidae) revealed by allozyme and microsatellite markers
Figure 3. Individual multilocus genotype clustering analysis for Podarcis bocagei. A, inferred population structure from the number of clusters (K) = 2 to 5. These plots were obtained from the runs producing the highest values of Ln probability for each value of K, assuming correlated allele frequencies. In these plots, each individual is represented by a column divided into K segments, the size of each corresponding to the individual's estimated membership fraction in each of the K clusters. See Table 1 for locality name abbreviations. B, variation of the value of DK with the number of clusters, following Evanno et al. (2005). C, pie charts representing the mean proportion of membership for K = 3 and 5 (chosen by the previous method) for each locality.
Data from: Multilocus microsatellite markers for molecular typing of Candida tropicalis isolates
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.