18 datasets found
  1. ssrs.club - Historical whois Lookup

    • whoisdatacenter.com
    csv
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    AllHeart Web Inc, ssrs.club - Historical whois Lookup [Dataset]. https://whoisdatacenter.com/domain/ssrs.club/
    Explore at:
    csvAvailable download formats
    Dataset provided by
    AllHeart Web
    Authors
    AllHeart Web Inc
    License

    https://whoisdatacenter.com/terms-of-use/https://whoisdatacenter.com/terms-of-use/

    Time period covered
    Mar 15, 1985 - Jul 12, 2025
    Description

    Explore the historical Whois records related to ssrs.club (Domain). Get insights into ownership history and changes over time.

  2. sti.reporting.services@gmail.com - Reverse Whois Lookup

    • whoisdatacenter.com
    csv
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    AllHeart Web Inc, sti.reporting.services@gmail.com - Reverse Whois Lookup [Dataset]. https://whoisdatacenter.com/email/sti.reporting.services@gmail.com/
    Explore at:
    csvAvailable download formats
    Dataset provided by
    AllHeart Web
    Authors
    AllHeart Web Inc
    License

    https://whoisdatacenter.com/terms-of-use/https://whoisdatacenter.com/terms-of-use/

    Time period covered
    Mar 15, 1985 - Jul 15, 2025
    Description

    Explore historical ownership and registration records by performing a reverse Whois lookup for the email address sti.reporting.services@gmail.com..

  3. e

    SSRS groups of galaxies redshift neighbourhood - Dataset - B2FIND

    • b2find.eudat.eu
    Updated Oct 20, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2023). SSRS groups of galaxies redshift neighbourhood - Dataset - B2FIND [Dataset]. https://b2find.eudat.eu/dataset/901428a4-b0f1-509c-8e46-d6426f35502e
    Explore at:
    Dataset updated
    Oct 20, 2023
    Description

    DOI The Southern Sky Redshift Survey (SSRS) includes 13 groups of 5 or more members with velocities >=2000km/s. By measuring redshifts and accumulating data from the literature, we increase the total number of known group members from 89 to 218. We also measured new redshifts for 59 foreground/background galaxies superimposed on the group neighborhoods. The velocity dispersions of the groups are remarkably stable. Cone search capability for table J/A+A/312/745/table2 (The groups redshift neighborhood) Cone search capability for table J/A+A/312/745/table3 (New redshifts in the fore/backgrounds of groups)

  4. f

    DataSheet_1_Amaranth Genomic Resource Database: an integrated database...

    • frontiersin.figshare.com
    docx
    Updated Jun 28, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Akshay Singh; Ajay Kumar Mahato; Avantika Maurya; S. Rajkumar; A. K. Singh; Rakesh Bhardwaj; S. K. Kaushik; Sandeep Kumar; Veena Gupta; Kuldeep Singh; Rakesh Singh (2023). DataSheet_1_Amaranth Genomic Resource Database: an integrated database resource of Amaranth genes and genomics.docx [Dataset]. http://doi.org/10.3389/fpls.2023.1203855.s001
    Explore at:
    docxAvailable download formats
    Dataset updated
    Jun 28, 2023
    Dataset provided by
    Frontiers
    Authors
    Akshay Singh; Ajay Kumar Mahato; Avantika Maurya; S. Rajkumar; A. K. Singh; Rakesh Bhardwaj; S. K. Kaushik; Sandeep Kumar; Veena Gupta; Kuldeep Singh; Rakesh Singh
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Amaranth (Amaranthus L.) is native to Mexico and North America, where it was cultivated thousands of years ago, but now amaranth is grown worldwide. Amaranth is one of the most promising food crops with high nutritional value and belongs to the family Amaranthaceae. The high-quality genome assembly of cultivated amaranth species (A. hypochondriacus, A. cruentus) and wild/weedy species (A. tuberculatus, A. hybridus, and A. palmeri) has already been reported; therefore, we developed an Amaranth Genomic Resource Database (AGRDB) to provide access to all the genomic information such as genes, SSRs, SNPs, TFs, miRNAs, and transporters in one place. The AGRDB database contains functionally annotated gene information with their sequence details, genic as well as genomic SSRs with their three sets of primers, transcription factors classified into different families with their sequence information and annotation details, putative miRNAs with their family, sequences, and targeted gene details, transporter genes with their superfamily, trans-membrane domain details, and details of genic as well as nongenic SNPs with 3′ and 5′ flanking sequence information of five amaranth species. A database search can be performed using the gene ID, sequence ID, sequence motif, motif repeat, family name, annotation keyword, scaffold or chromosome numbers, etc. This resource also includes some useful tools, including JBrowse for the visualization of genes, SSRs, SNPs, and TFs on the respective amaranth genomes and BLAST search to perform a BLAST search of the user’s query sequence against the amaranth genome as well as protein sequences. The AGRDB database will serve as a potential platform for genetic improvement and characterization of this futuristic crop. The AGRDB database will be accessible via the link: http://www.nbpgr.ernet.in:8080/AmaranthGRD/.

  5. d

    Data from: Diversidad genética de la colección núcleo de silvestres de...

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Nov 21, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Soler, Alvaro (2023). Diversidad genética de la colección núcleo de silvestres de fríjol común (Phaseolus vulgaris L.) analizados mediante microsatélites fluorescentes [Dataset]. http://doi.org/10.7910/DVN/D0GJM7
    Explore at:
    Dataset updated
    Nov 21, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Soler, Alvaro
    Description

    Las colecciones núcleo desarrollan un papel importante en la utilización de los recursos genéticos, ya que poseen el material prioritario para la mejora. El desarrollo y la aplicación de SSRs facilitan la adquisición de una gran cantidad de información genética para la caracterización de colecciones de germoplasma. El objetivo de este estudio fue Caracterizar la diversidad genética de 104 accesiones silvestres de la Colección Núcleo de fríjol común (Phaseolus vulgaris L.) procedentes de la Unidad de Recursos Genéticos del CIAT (URG-CIAT), mediante el uso de 36 marcadores moleculares tipo microsatélites analizados con una técnica de fluorescencia. Se identificaron un total de 492 alelos con un promedio de 13.30 alelos por marcador, y un promedio de Contenido de Información Polimórfica de 0.64. Usando los programas NTSyS y STRUCTURE, se identificaron cinco grupos bien definidos correspondiendo a los dos principales acervos: Mesoamérica y Andino, y los centros menores de Colombia, Ecuador-Norte del Perú y Guatemala. Accesiones provenientes de Guatemala y el sur de México presentaron diferenciación genética y estructural con los otros acervos y centros menores. Se presenta una alta diversidad genética en el acervo Mesoamérica que en el Andino, presentándose en este ultimo asociaciones discretas en ciertas regiones, posiblemente reflejando el aislamiento geográfico y genético. Un alto valor de FST confirmó la congruente separación de los grupos en cuanto a su estructura genética.

  6. d

    Unraveling hierarchical genetic structure of tea green leafhopper,...

    • search.dataone.org
    • datadryad.org
    Updated May 1, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Li Zhang; Christopher H. Dietrich; Ye Xu; Zhaofu Yang; Maohua Chen; Hong Thai Pham; Li Qiao; Masaya Matsumura; Valerio Mazzoni; Daozheng Qin (2025). Unraveling hierarchical genetic structure of tea green leafhopper, Matsumurasca onukii, in East Asia based on SSRs and SNPs [Dataset]. http://doi.org/10.5061/dryad.kkwh70s69
    Explore at:
    Dataset updated
    May 1, 2025
    Dataset provided by
    Dryad Digital Repository
    Authors
    Li Zhang; Christopher H. Dietrich; Ye Xu; Zhaofu Yang; Maohua Chen; Hong Thai Pham; Li Qiao; Masaya Matsumura; Valerio Mazzoni; Daozheng Qin
    Time period covered
    Jan 1, 2022
    Description

    Matsumurasca onukii (Matsuda, 1952), one of the dominant pests in major tea production areas in Asia, currently is known to occur in Japan, Vietnam, and China, and severely threatens tea production, quality, and international export trade. To elucidate the population genetic structure of this species, 1633 single nucleotide polymorphisms (SNPs) and 18 microsatellite markers (SSRs) were used to genotype samples from 27 sites representing 18 geographical populations distributed throughout the known range of the species in East Asia. Analyses of both SNPs and SSRs showed that M. onukii populations in Yunnan exhibit high genetic differentiation and structure compared to other populations. The Kagoshima (JJ) and Shizuoka (JS) populations from Japan were separated from populations from China by SNPs but clustered with Jinhua (JH), Yingde (YD), Guilin (GL), Fuzhou (FZ), Hainan (HQ), Leshan (CT), Chongqing (CY) and Zunyi (ZY) tea areas in China and the Vietnamese Vinh Phuc (VN) population based...

  7. d

    Data from: Population structure, relatedness and ploidy levels in an apple...

    • search.dataone.org
    • data.niaid.nih.gov
    • +2more
    Updated Jun 23, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Bjarne Larsen; Kyle Gardner; Carsten Pedersen; Marian Ørgaard; Zoë Migicovsky; Sean Myles; Torben Bo Toldam-Andersen (2025). Population structure, relatedness and ploidy levels in an apple gene bank revealed through genotyping-by-sequencing [Dataset]. http://doi.org/10.5061/dryad.b5s2hn4
    Explore at:
    Dataset updated
    Jun 23, 2025
    Dataset provided by
    Dryad Digital Repository
    Authors
    Bjarne Larsen; Kyle Gardner; Carsten Pedersen; Marian Ørgaard; Zoë Migicovsky; Sean Myles; Torben Bo Toldam-Andersen
    Time period covered
    Jul 30, 2019
    Description

    In recent years, new genome-wide marker systems have provided highly informative alternatives to low density marker systems for evaluating plant populations. To date, most apple germplasm collections have been genotyped using low-density markers such as simple sequence repeats (SSRs), whereas only a few have been explored using high-density genome-wide marker information. We explored the genetic diversity of the Pometum gene bank collection (University of Copenhagen, Denmark) of 349 apple accessions using over 15,000 genome-wide single nucleotide polymorphisms (SNPs) and 15 SSR markers, in order to compare the strength of the two approaches for describing population structure. We found that 119 accessions shared a clonal relationship with at least one other accession in the collection, resulting in the identification of 272 (78%) unique accessions. Of these unique accessions, over half (52%) share a first-degree relationship with at least one other accession. There is therefore a high d...

  8. o

    Data from: Twentieth-century changes in the genetic composition of Swedish...

    • explore.openaire.eu
    • data.niaid.nih.gov
    • +1more
    Updated Oct 10, 2012
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Jenny Hagenblad; Matti W. Leino; Erik Boström (2012). Data from: Twentieth-century changes in the genetic composition of Swedish field pea metapopulations [Dataset]. http://doi.org/10.5061/dryad.92p3p
    Explore at:
    Dataset updated
    Oct 10, 2012
    Authors
    Jenny Hagenblad; Matti W. Leino; Erik Boström
    Description

    Landrace crops are formed by local adaptation, genetic drift and gene flow through seed exchange. In reverse, the study of genetic structure between landrace populations can reveal the effects of these forces over time. We present here the analysis of genetic diversity in 40 Swedish field pea (Pisum sativum L.) populations, either available as historical seed samples from the late nineteenth century or as extant gene bank accessions assembled in the late twentieth century. The historical material shows constant high levels of within-population diversity, whereas the extant accessions show varying, and overall lower, levels of within-population diversity. Structure and principal component analysis cluster most accessions, both extant and historical, in groups after geographical origin. County-wise analyses of the accessions show that the genetic diversity of the historical accessions is largely overlapping. In contrast, most extant accessions show signs of genetic drift. They harbor a subset of the alleles found in the historical accessions and are more differentiated from each other. These results reflect how, historically present metapopulations have been preserved during the twentieth century, although as genetically isolated populations. LeinoetalPisumMicrosatellite data from genotypings of eight individuals each of in total 40 extant and historical accessions. Microsatellite markers are from Loridon et al 2005.

  9. f

    Table_1_LMTdb: A comprehensive transcriptome database for climate-resilient,...

    • frontiersin.figshare.com
    docx
    Updated Jun 9, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Shweta Shekhar; Archana S. Prasad; Kalpana Banjare; Abhijeet Kaushik; Ajit K. Mannade; Mahima Dubey; Arun Patil; Vinay Premi; Ashish K. Vishwakarma; Abhinav Sao; Ravi R. Saxena; Amit Dubey; Girish Chandel (2023). Table_1_LMTdb: A comprehensive transcriptome database for climate-resilient, nutritionally rich little millet (Panicum sumatrense).docx [Dataset]. http://doi.org/10.3389/fpls.2023.1106104.s001
    Explore at:
    docxAvailable download formats
    Dataset updated
    Jun 9, 2023
    Dataset provided by
    Frontiers
    Authors
    Shweta Shekhar; Archana S. Prasad; Kalpana Banjare; Abhijeet Kaushik; Ajit K. Mannade; Mahima Dubey; Arun Patil; Vinay Premi; Ashish K. Vishwakarma; Abhinav Sao; Ravi R. Saxena; Amit Dubey; Girish Chandel
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Little millet (Panicum sumatrense) a native of Chhattisgarh, belongs to the minor millet group and is primarily known as a climate-resilient and nutritionally rich crop. However, due to the lack of enough Omic studies on the crop, the scientific community has largely remained unaware of the potential of this crop, resulting in less scope for its utilization in crop improvement programs. Looking at global warming, erratic climate change, nutritional security, and limited genetic information available, the Little Millet Transcriptome Database (LMTdb) (https://igkv.ac.in/xenom/index.aspx) was conceptualized upon completion of the transcriptome sequencing of little millet with the aim of deciphering the genetic signatures of this largely unknown crop. The database was developed with the view of providing information about the most comprehensive part of the genome, the ‘Transcriptome’. The database includes transcriptome sequence information, functional annotation, microsatellite markers, DEGs, and pathway information. The database is a freely available resource that provides breeders and scientists a portal to search, browse, and query data to facilitate functional and applied Omic studies in millet crops.

  10. d

    Data from: Transcriptome sequencing and marker development for four...

    • search.dataone.org
    • eprints.soton.ac.uk
    • +1more
    Updated Apr 19, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Mark A. Chapman (2025). Transcriptome sequencing and marker development for four underutilized legumes [Dataset]. http://doi.org/10.5061/dryad.k9h76
    Explore at:
    Dataset updated
    Apr 19, 2025
    Dataset provided by
    Dryad Digital Repository
    Authors
    Mark A. Chapman
    Time period covered
    Jan 23, 2016
    Description

    Premise of the study: Combating threats to food and nutrition security in the context of climate change and global population increase is one of the highest priorities of major international organizations. Hundreds of species are grown on a small scale in some of the most drought/flood-prone regions of the world and as such may harbor some of the most environmentally tolerant crops (and alleles). Methods and Results: In this study, transcriptomes were sequenced, assembled, and annotated for four underutilized legume crops. Microsatellite markers were identified in each species, as well as a conserved orthologous set of markers for cross-family phylogenetics and comparative mapping, which were ground-truthed on a panel of diverse legume germplasm. Conclusions: An understanding of these underutilized legumes will inform crop selection and breeding by allowing the investigation of genetic variation and the genetic basis of adaptive traits to be established.

  11. f

    Table4_Development of de-novo transcriptome assembly and SSRs in...

    • frontiersin.figshare.com
    bin
    Updated Jun 16, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Kaushal Pratap Singh; Preetesh Kumari; Devendra Kumar Yadava (2023). Table4_Development of de-novo transcriptome assembly and SSRs in allohexaploid Brassica with functional annotations and identification of heat-shock proteins for thermotolerance.xlsx [Dataset]. http://doi.org/10.3389/fgene.2022.958217.s004
    Explore at:
    binAvailable download formats
    Dataset updated
    Jun 16, 2023
    Dataset provided by
    Frontiers
    Authors
    Kaushal Pratap Singh; Preetesh Kumari; Devendra Kumar Yadava
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Crop Brassicas contain monogenomic and digenomic species, with no evidence of a trigenomic Brassica in nature. Through somatic fusion (Sinapis alba + B. juncea), a novel allohexaploid trigenomic Brassica (H1 = AABBSS; 2n = 60) was produced and used for transcriptome analysis to uncover genes for thermotolerance, annotations, and microsatellite markers for future molecular breeding. Illumina Novaseq 6000 generated a total of 76,055,546 paired-end raw reads, which were used for de-novo assembly, resulting in the development of 486,066 transcripts. A total of 133,167 coding sequences (CDSs) were predicted from transcripts with a mean length of 507.12 bp and 46.15% GC content. The BLASTX search of CDSs against public protein databases showed a maximum of 126,131 (94.72%) and a minimum of 29,810 (22.39%) positive hits. Furthermore, 953,773 gene ontology (GO) terms were found in 77,613 (58.28%) CDSs, which were divided into biological processes (49.06%), cellular components (31.67%), and molecular functions (19.27%). CDSs were assigned to 144 pathways by a pathway study using the KEGG database and 1,551 pathways by a similar analysis using the Reactome database. Further investigation led to the discovery of genes encoding over 2,000 heat shock proteins (HSPs). The discovery of a large number of HSPs in allohexaploid Brassica validated our earlier findings for heat tolerance at seed maturity. A total of 15,736 SSRs have been found in 13,595 CDSs, with an average of one SSR per 4.29 kb length and an SSR frequency of 11.82%. The first transcriptome assembly of a meiotically stable allohexaploid Brassica has been given in this article, along with functional annotations and the presence of SSRs, which could aid future genetic and genomic studies.

  12. Data from: Introgression from modern hybrid varieties into landrace...

    • zenodo.org
    • search.dataone.org
    • +1more
    xls
    Updated May 29, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Elena Bitocchi; Laura Nanni; Monica Rossi; Domenico Rau; Elisa Bellucci; Alessandro Giardini; Anna Buonamici; Giovanni G Vendramin; Roberto Papa; Elena Bitocchi; Laura Nanni; Monica Rossi; Domenico Rau; Elisa Bellucci; Alessandro Giardini; Anna Buonamici; Giovanni G Vendramin; Roberto Papa (2022). Data from: Introgression from modern hybrid varieties into landrace populations of maize (Zea mays ssp. mays L.) in central Italy [Dataset]. http://doi.org/10.5061/dryad.1339
    Explore at:
    xlsAvailable download formats
    Dataset updated
    May 29, 2022
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Elena Bitocchi; Laura Nanni; Monica Rossi; Domenico Rau; Elisa Bellucci; Alessandro Giardini; Anna Buonamici; Giovanni G Vendramin; Roberto Papa; Elena Bitocchi; Laura Nanni; Monica Rossi; Domenico Rau; Elisa Bellucci; Alessandro Giardini; Anna Buonamici; Giovanni G Vendramin; Roberto Papa
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Landraces are domesticated local plant varieties that did not experienced a deliberate and intensive selection during a formal breeding programme. In Europe, maize landraces are still cultivated, particularly in marginal areas where traditional farming is often practised. Here, we have studied the evolution of flint maize landraces from central Italy over 50 years of on-farm cultivation, when dent hybrid varieties were introduced and their use was widespread. We have compared an 'old' collection, obtained during the 1950s, before the introduction of hybrids, and a recent collection of maize landraces. For comparison, a sample of maize landraces from north Italy, and of improved germplasm, including hybrids and inbred lines were also used. A total of 296 genotypes were analysed using 21 microsatellites. Our results show that the maize landraces collected in the last 5-10 years have evolved directly from the flint landrace gene pool cultivated in central Italy before the introduction of modern hybrids. The population structure, diversity and linkage disequilibrium analyses indicate a significant amount of introgression from hybrid varieties into the recent landrace populations. No evidence of genetic erosion of the maize landraces was seen, suggesting that in-situ conservation of landraces is an efficient strategy for preserving genetic diversity. Finally, the level of introgression detected was very variable among recent landraces, with most of them showing a low level of introgression; this suggests that co-existence between different types of agriculture is possible, with the adoption of correct practices that are aimed at avoiding introgression from undesired genetic sources.

  13. d

    Data from: Comparative assessment of SSR and SNP markers for inferring the...

    • search.dataone.org
    • data.niaid.nih.gov
    • +1more
    Updated Apr 1, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Tetyana Tsykun; Christian Rellstab; Cyril Dutech; György Sipos; Simone Prospero (2025). Comparative assessment of SSR and SNP markers for inferring the population genetic structure of the common fungus Armillaria cepistipes [Dataset]. http://doi.org/10.5061/dryad.t29f8
    Explore at:
    Dataset updated
    Apr 1, 2025
    Dataset provided by
    Dryad Digital Repository
    Authors
    Tetyana Tsykun; Christian Rellstab; Cyril Dutech; György Sipos; Simone Prospero
    Time period covered
    Jun 29, 2020
    Description

    During the last years, simple sequence repeats (SSRs, also known as microsatellites) and single-nucleotide polymorphisms (SNPs) have become the most popular molecular markers for describing neutral genetic variation in populations of a wide range of organisms. However, only a limited number of studies has focused on comparing the performance of these two types of markers for describing the underlying genetic structure of wild populations. Moreover, none of these studies targeted fungi, the group of organisms with one of the most complex reproductive strategies. We evaluated the utility of SSRs and SNPs for inferring the neutral genetic structure of Armillaria cepistipes (basidiomycetes) at different spatial scales. For that, 407 samples were collected across a small (150 km2) area in the Ukrainian Carpathians and a large (41 000 km2) area in the Swiss Alps. All isolates were analyzed at 17 SSR loci distributed throughout the whole genome and at 24 SNP loci located in different single-co...

  14. d

    Data from: Genetic relationships, structure and parentage simulation among...

    • search.dataone.org
    • datadryad.org
    Updated Jul 4, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Francesco P. Marra; Tiziano Caruso; Francesca Costa; Claudio Di Vaio; Rocco Mafrica; Annalisa Marchese (2025). Genetic relationships, structure and parentage simulation among the olive tree (Olea europaea L. subsp. europaea) cultivated in Southern Italy revealed by SSR markers [Dataset]. http://doi.org/10.5061/dryad.3dv00
    Explore at:
    Dataset updated
    Jul 4, 2025
    Dataset provided by
    Dryad Digital Repository
    Authors
    Francesco P. Marra; Tiziano Caruso; Francesca Costa; Claudio Di Vaio; Rocco Mafrica; Annalisa Marchese
    Time period covered
    Mar 22, 2013
    Area covered
    Italy
    Description

    In this work, we assess both the morphological and genetic diversity of 68 important olive cultivars from three Southern Italian regions: Calabria, Campania and Sicily. Twenty-five phenotypic traits were evaluated and 12 simple sequence repeat (SSR) markers were analysed. All SSR primers were polymorphic and reliable. The total number of alleles per locus varied from 5 to 19 with an average number of 13.1 and a mean polymorphic information content (PIC) of 0.81. These results suggested high genetic diversity within these three olive germplasm collections. Morphological traits also showed significant variability amongst cultivars. Two cases of identity were found and ten statistically significant cases of putative parent/sibling were discovered by performing a SSR-based parentage simulation analysis with CERVUS. The Mantel test indicated low but significant correlations between the morphological data and SSR allelic frequency, origin and SSR allelic frequency, and origin and morphology. ...

  15. f

    Summary of the EST-SSRs that were identified in the transcriptome.

    • plos.figshare.com
    xls
    Updated Jun 2, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Yan Long; Yanyan Wang; Shanshan Wu; Jiao Wang; Xinjie Tian; Xinwu Pei (2023). Summary of the EST-SSRs that were identified in the transcriptome. [Dataset]. http://doi.org/10.1371/journal.pone.0115805.t003
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Yan Long; Yanyan Wang; Shanshan Wu; Jiao Wang; Xinjie Tian; Xinwu Pei
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Summary of the EST-SSRs that were identified in the transcriptome.

  16. f

    Additional file 3 of Transcriptome characterization and high throughput SSRs...

    • springernature.figshare.com
    xls
    Updated Jun 3, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    José Blanca; Joaquín Cañizares; Cristina Roig; Pello Ziarsolo; Fernando Nuez; Belén Picó (2023). Additional file 3 of Transcriptome characterization and high throughput SSRs and SNPs discovery in Cucurbita pepo (Cucurbitaceae) [Dataset]. http://doi.org/10.6084/m9.figshare.12873533.v1
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 3, 2023
    Dataset provided by
    figshare
    Authors
    José Blanca; Joaquín Cañizares; Cristina Roig; Pello Ziarsolo; Fernando Nuez; Belén Picó
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Additional file 3:Blast Hits and GO terms. Descriptions build from the blast hit obtained by a sequential blast search of 3 protein databases [60–62] and GO annotations for the whole Cucurbita unigene collection are compiled. (XLS 5 MB)

  17. f

    DataSheet_2_TriticeaeSSRdb: a comprehensive database of simple sequence...

    • figshare.com
    pdf
    Updated May 22, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Tingting Li; Shaoshuai Cai; Zhibo Cai; Yi Fu; Wenqiang Liu; Xiangdong Zhu; Chongde Lai; Licao Cui; Wenqiu Pan; Yihan Li (2024). DataSheet_2_TriticeaeSSRdb: a comprehensive database of simple sequence repeats in Triticeae.pdf [Dataset]. http://doi.org/10.3389/fpls.2024.1412953.s002
    Explore at:
    pdfAvailable download formats
    Dataset updated
    May 22, 2024
    Dataset provided by
    Frontiers
    Authors
    Tingting Li; Shaoshuai Cai; Zhibo Cai; Yi Fu; Wenqiang Liu; Xiangdong Zhu; Chongde Lai; Licao Cui; Wenqiu Pan; Yihan Li
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Microsatellites, known as simple sequence repeats (SSRs), are short tandem repeats of 1 to 6 nucleotide motifs found in all genomes, particularly eukaryotes. They are widely used as co-dominant markers in genetic analyses and molecular breeding. Triticeae, a tribe of grasses, includes major cereal crops such as bread wheat, barley, and rye, as well as abundant forage and lawn grasses, playing a crucial role in global food production and agriculture. To enhance genetic work and expedite the improvement of Triticeae crops, we have developed TriticeaeSSRdb, an integrated and user-friendly database. It contains 3,891,705 SSRs from 21 species and offers browsing options based on genomic regions, chromosomes, motif types, and repeat motif sequences. Advanced search functions allow personalized searches based on chromosome location and length of SSR. Users can also explore the genes associated with SSRs, design customized primer pairs for PCR validation, and utilize practical tools for whole-genome browsing, sequence alignment, and in silico SSR prediction from local sequences. We continually update TriticeaeSSRdb with additional species and practical utilities. We anticipate that this database will greatly facilitate trait genetic analyses and enhance molecular breeding strategies for Triticeae crops. Researchers can freely access the database at http://triticeaessrdb.com/.

  18. f

    Information on 24 tropical trees subjected to next-generation sequencing and...

    • plos.figshare.com
    xls
    Updated Jun 2, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Joanne R. Russell; Peter E. Hedley; Linda Cardle; Siobhan Dancey; Jenny Morris; Allan Booth; David Odee; Lucy Mwaura; William Omondi; Peter Angaine; Joseph Machua; Alice Muchugi; Iain Milne; Roeland Kindt; Ramni Jamnadass; Ian K. Dawson (2023). Information on 24 tropical trees subjected to next-generation sequencing and screened for SSRs. [Dataset]. http://doi.org/10.1371/journal.pone.0102502.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Joanne R. Russell; Peter E. Hedley; Linda Cardle; Siobhan Dancey; Jenny Morris; Allan Booth; David Odee; Lucy Mwaura; William Omondi; Peter Angaine; Joseph Machua; Alice Muchugi; Iain Milne; Roeland Kindt; Ramni Jamnadass; Ian K. Dawson
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    aBased on the Agroforestree Database (www.worldagroforestry.org/resources/databases/agroforestree), an open access resource of ICRAF that provides data on >650 trees.bThe seed source of material for NGS varied and included natural stands, seed orchards and landraces. The numerical reference is the ICRAF accession number.cCurrent data from NGS; complete information is available at the tropiTree portal (http://bioinf.hutton.ac.uk/tropiTree). In () is the number of perfect SSRs identified. In [] is the percentage of the corresponding transcripts that have TAIR hits (for all SSRs).dData from National Center for Biotechnology Information of the USA (NCBI) searches were included to illustrate previous sequencing work. Searches were undertaken on 14 April 2014 via the Entrez search system (www.ncbi.nlm.nih.gov/sites/gquery). Species names for NCBI searches were checked as correct against current nomenclature using the Agroforestry Species Switchboard (www.worldagroforestry.org/products/switchboard/), an open access resource of ICRAF that provides links to information on >20,000 plants. Current names were set as ‘organism’ in NCBI searches. In () is the number of ESTs listed in NCBI nucleotide citations (if any). In [] is the number of NGS studies cited in NCBI’s Sequence Read Archive (if any).eAs well as being of importance to small-scale farmers, Acacia mangium and Jatropha curcas have wide commercial interests (see text), explaining the high NCBI citations.fSpecies were subject to primer validation (see text).

  19. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
AllHeart Web Inc, ssrs.club - Historical whois Lookup [Dataset]. https://whoisdatacenter.com/domain/ssrs.club/
Organization logo

ssrs.club - Historical whois Lookup

Explore at:
csvAvailable download formats
Dataset provided by
AllHeart Web
Authors
AllHeart Web Inc
License

https://whoisdatacenter.com/terms-of-use/https://whoisdatacenter.com/terms-of-use/

Time period covered
Mar 15, 1985 - Jul 12, 2025
Description

Explore the historical Whois records related to ssrs.club (Domain). Get insights into ownership history and changes over time.

Search
Clear search
Close search
Google apps
Main menu