High-throughput analysis of satellite DNA in the grasshopper Pyrgomorpha conica reveals abundance of homologous and heterologous higher-order repeats View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2018-09

AUTHORS

Francisco J. Ruiz-Ruano, Jesús Castillo-Martínez, Josefa Cabrero, Ricardo Gómez, Juan Pedro M. Camacho, María Dolores López-León

ABSTRACT

Satellite DNA (satDNA) constitutes an important fraction of repetitive DNA in eukaryotic genomes, but it is barely known in most species. The high-throughput analysis of satDNA in the grasshopper Pyrgomorpha conica revealed 87 satDNA variants grouped into 76 different families, representing 9.4% of the genome. Fluorescent in situ hybridization (FISH) analysis of the 38 most abundant satDNA families revealed four different patterns of chromosome distribution. Homology search between the 76 satDNA families showed the existence of 15 superfamilies, each including two or more families, with the most abundant superfamily representing more than 80% of all satDNA found in this species. This also revealed the presence of two types of higher-order repeats (HORs), one showing internal homologous subrepeats, as conventional HORs, and an additional type showing non-homologous internal subrepeats, the latter arising by the combination of a given satDNA family with a non-annotated sequence, or with telomeric DNA. Interestingly, the heterologous subrepeats included in these HORs showed higher divergence within the HOR than outside it, suggesting that heterologous HORs show poor homogenization, in high contrast with conventional (homologous) HORs. Finally, heterologous HORs can show high differences in divergence between their constituent subrepeats, suggesting the possibility of regional homogenization. More... »

PAGES

323-340

References to SciGraph publications

  • 2008-06. Satellite DNA in insects: a review in HEREDITY
  • 2015-06. A step to the gigantic genome of the desert locust: chromosome sizes and repeated DNAs in CHROMOSOMA
  • 1993-07. Supernumerary heterochromatic segments associated with the nucleolar chromosomes of Pyrgomorpha conica (Orthoptera) contain methylated rDNA sequences in CHROMOSOMA
  • 1998-02. Similarity of Structural Features and Evolution of Satellite DNAs from Palorus subdepressus (Coleoptera) and Related Species in JOURNAL OF MOLECULAR EVOLUTION
  • 2000. Molecular Cell Biology: Role of Repetitive DNA in Nuclear Architecture and Chromosome Structure in PROGRESS IN BOTANY
  • 2016-09. High-throughput analysis of the satellitome illuminates satellite DNA evolution in SCIENTIFIC REPORTS
  • 2015-09. Higher-order repeat structure in alpha satellite DNA occurs in New World monkeys and is not confined to hominoids in SCIENTIFIC REPORTS
  • 2008-12. Survey of extrachromosomal circular DNA derived from plant satellite repeats in BMC PLANT BIOLOGY
  • 2017-08. Satellite DNA content illuminates the ancestry of a supernumerary (B) chromosome in CHROMOSOMA
  • 1987-07. Chromosome-specific subsets of human alpha satellite DNA: Analysis of sequence divergence within and between chromosomal subsets and evidence for an ancestral pentameric repeat in JOURNAL OF MOLECULAR EVOLUTION
  • 2012-04. Fast gapped-read alignment with Bowtie 2 in NATURE METHODS
  • 1991. Genetic Variability of a Satellite Sequence in the Dipteran Musca domestica in DNA FINGERPRINTING: APPROACHES AND APPLICATIONS
  • 2015-09. Completing the human genome: the progress and challenge of satellite DNA assembly in CHROMOSOME RESEARCH
  • 1995-10. FISH analysis of the telomere sequences of bulldog ants (Myrmecia: Formicidae) in CHROMOSOMA
  • 2014-08. Centromere identity from the DNA point of view in CHROMOSOMA
  • 1994-09. The evolutionary dynamics of repetitive DNA in eukaryotes in NATURE
  • 1983-01. Chromosome C-banding patterns in Spanish Acridoidea in GENETICA
  • 2015-09. Structural and functional liaisons between transposable elements and satellite DNAs in CHROMOSOME RESEARCH
  • 2010-12. Extrachromosomal circles of satellite repeats and 5S ribosomal DNA in human cells in MOBILE DNA
  • 2007-12. Repetitive DNA in the pea (Pisum sativum L.) genome: comprehensive characterization using 454 sequencing and comparison to soybean and Medicago truncatula in BMC GENOMICS
  • 2015-06. Next-generation sequencing detects repetitive elements expansion in giant genomes of annual killifish genus Austrolebias (Cyprinodontiformes, Rivulidae) in GENETICA
  • 2015-06. Next generation sequencing and FISH reveal uneven and nonrandom microsatellite distribution in two grasshopper genomes in CHROMOSOMA
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s00412-018-0666-9

    DOI

    http://dx.doi.org/10.1007/s00412-018-0666-9

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1101553498

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/29549528


    Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
    Incoming Citations Browse incoming citations for this publication using opencitations.net

    JSON-LD is the canonical representation for SciGraph data.

    TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

    [
      {
        "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
        "about": [
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0604", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Genetics", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/06", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Biological Sciences", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Animals", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Base Composition", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Chromosome Mapping", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Computational Biology", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "DNA, Satellite", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Genome, Insect", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Genomics", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Grasshoppers", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "High-Throughput Nucleotide Sequencing", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "In Situ Hybridization, Fluorescence", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Nucleic Acid Amplification Techniques", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Tandem Repeat Sequences", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Telomere", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "University of Granada", 
              "id": "https://www.grid.ac/institutes/grid.4489.1", 
              "name": [
                "Departamento de Gen\u00e9tica. Facultad de Ciencias, Universidad de Granada, 18071, Granada, Spain"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Ruiz-Ruano", 
            "givenName": "Francisco J.", 
            "id": "sg:person.0754303036.80", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0754303036.80"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Valencia Catholic University Saint Vincent Martyr", 
              "id": "https://www.grid.ac/institutes/grid.440831.a", 
              "name": [
                "Departamento de Gen\u00e9tica. Facultad de Ciencias, Universidad de Granada, 18071, Granada, Spain", 
                "Facultad de Medicina, Universidad Cat\u00f3lica de Valencia, C/Quevedo 2, 46001, Valencia, Spain"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Castillo-Mart\u00ednez", 
            "givenName": "Jes\u00fas", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Granada", 
              "id": "https://www.grid.ac/institutes/grid.4489.1", 
              "name": [
                "Departamento de Gen\u00e9tica. Facultad de Ciencias, Universidad de Granada, 18071, Granada, Spain"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Cabrero", 
            "givenName": "Josefa", 
            "id": "sg:person.01155470101.10", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01155470101.10"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Castile-La Mancha", 
              "id": "https://www.grid.ac/institutes/grid.8048.4", 
              "name": [
                "Departamento de Ciencia y Tecnolog\u00eda Agroforestal, E.T.S. de Ingenieros Agr\u00f3nomos, Universidad de Castilla La Mancha, 02071, Albacete, Spain"
              ], 
              "type": "Organization"
            }, 
            "familyName": "G\u00f3mez", 
            "givenName": "Ricardo", 
            "id": "sg:person.01303723704.35", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01303723704.35"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Granada", 
              "id": "https://www.grid.ac/institutes/grid.4489.1", 
              "name": [
                "Departamento de Gen\u00e9tica. Facultad de Ciencias, Universidad de Granada, 18071, Granada, Spain"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Camacho", 
            "givenName": "Juan Pedro M.", 
            "id": "sg:person.012764424752.35", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012764424752.35"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Granada", 
              "id": "https://www.grid.ac/institutes/grid.4489.1", 
              "name": [
                "Departamento de Gen\u00e9tica. Facultad de Ciencias, Universidad de Granada, 18071, Granada, Spain"
              ], 
              "type": "Organization"
            }, 
            "familyName": "L\u00f3pez-Le\u00f3n", 
            "givenName": "Mar\u00eda Dolores", 
            "id": "sg:person.010204141734.52", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010204141734.52"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1007/s10709-015-9834-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000217071", 
              "https://doi.org/10.1007/s10709-015-9834-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00412-016-0611-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000377195", 
              "https://doi.org/10.1007/s00412-016-0611-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00412-016-0611-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000377195", 
              "https://doi.org/10.1007/s00412-016-0611-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1139/g03-143", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000584195"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00412-014-0499-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002444589", 
              "https://doi.org/10.1007/s00412-014-0499-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1083/jcb.103.4.1145", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002455271"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/emboj/cdf612", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002823233"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10577-015-9488-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003056215", 
              "https://doi.org/10.1007/s10577-015-9488-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/btt054", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005532824"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1101/gr.229202", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006260064"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nmeth.1923", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006541515", 
              "https://doi.org/10.1038/nmeth.1923"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.mrfmmm.2006.01.004", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006552935"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00412-014-0492-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006811829", 
              "https://doi.org/10.1007/s00412-014-0492-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1159/000337122", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009146674"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1139/g88-105", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009317933"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1159/000365797", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010386463"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00352221", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010406016", 
              "https://doi.org/10.1007/bf00352221"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/gks596", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014785724"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1038/npg.els.0001889", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017962035"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-642-57203-6_5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018506732", 
              "https://doi.org/10.1007/978-3-642-57203-6_5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1159/000324690", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019769683"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00412-014-0462-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019800077", 
              "https://doi.org/10.1007/s00412-014-0462-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00412-014-0462-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019800077", 
              "https://doi.org/10.1007/s00412-014-0462-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1755-0998.2010.02847.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020645983"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1755-0998.2010.02847.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020645983"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf02100014", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021722113", 
              "https://doi.org/10.1007/bf02100014"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf02100014", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021722113", 
              "https://doi.org/10.1007/bf02100014"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pgen.1005466", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022014269"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/gkt371", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023830050"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1139/g93-073", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023894031"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.gene.2006.07.016", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023987245"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.devcel.2014.08.016", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024220053"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.tig.2014.07.001", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024809086"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00357105", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025660775", 
              "https://doi.org/10.1007/bf00357105"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.1065042", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1026654192"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00563233", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027592750", 
              "https://doi.org/10.1007/bf00563233"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00563233", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027592750", 
              "https://doi.org/10.1007/bf00563233"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/371215a0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028852240", 
              "https://doi.org/10.1038/371215a0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1146/annurev.genet.34.1.187", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028965230"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2164-8-427", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029209399", 
              "https://doi.org/10.1186/1471-2164-8-427"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bib/bbs017", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029766327"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/srep28333", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031079404", 
              "https://doi.org/10.1038/srep28333"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1365-313x.2007.03394.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031313003"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0022-2836(05)80056-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032358288"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.gene.2007.01.019", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034355955"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/27.2.573", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035372973"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pone.0027335", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036597927"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1759-8753-1-11", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036864959", 
              "https://doi.org/10.1186/1759-8753-1-11"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/hdy.2008.24", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037111832", 
              "https://doi.org/10.1038/hdy.2008.24"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/cla.12116", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038770651"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/gki764", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040239634"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-0348-7312-3_8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041168133", 
              "https://doi.org/10.1007/978-3-0348-7312-3_8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0092-8674(85)90170-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042030291"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1159/000337118", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042221133"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/pl00006298", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043025809", 
              "https://doi.org/10.1007/pl00006298"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pone.0017288", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043584914"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2229-8-90", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043704405", 
              "https://doi.org/10.1186/1471-2229-8-90"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10577-015-9483-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045474754", 
              "https://doi.org/10.1007/s10577-015-9483-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/molbev/msr173", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046719000"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/srep10315", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047708893", 
              "https://doi.org/10.1038/srep10315"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/(sici)1521-1878(199807)20:7<532::aid-bies3>3.0.co;2-m", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047917619"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/molbev/msr121", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049273973"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.gene.2007.11.013", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050582166"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pone.0098918", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051167164"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.161.3841.529", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062495047"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1077886270", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/oxfordjournals.molbev.a040606", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1077955831"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1079827282", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1082668592", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.1615133114", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1083687743"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3390/genes8090230", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1091829677"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2018-09", 
        "datePublishedReg": "2018-09-01", 
        "description": "Satellite DNA (satDNA) constitutes an important fraction of repetitive DNA in eukaryotic genomes, but it is barely known in most species. The high-throughput analysis of satDNA in the grasshopper Pyrgomorpha conica revealed 87 satDNA variants grouped into 76 different families, representing 9.4% of the genome. Fluorescent in situ hybridization (FISH) analysis of the 38 most abundant satDNA families revealed four different patterns of chromosome distribution. Homology search between the 76 satDNA families showed the existence of 15 superfamilies, each including two or more families, with the most abundant superfamily representing more than 80% of all satDNA found in this species. This also revealed the presence of two types of higher-order repeats (HORs), one showing internal homologous subrepeats, as conventional HORs, and an additional type showing non-homologous internal subrepeats, the latter arising by the combination of a given satDNA family with a non-annotated sequence, or with telomeric DNA. Interestingly, the heterologous subrepeats included in these HORs showed higher divergence within the HOR than outside it, suggesting that heterologous HORs show poor homogenization, in high contrast with conventional (homologous) HORs. Finally, heterologous HORs can show high differences in divergence between their constituent subrepeats, suggesting the possibility of regional homogenization.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1007/s00412-018-0666-9", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1312277", 
            "issn": [
              "0009-5915", 
              "1432-0886"
            ], 
            "name": "Chromosoma", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "3", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "127"
          }
        ], 
        "name": "High-throughput analysis of satellite DNA in the grasshopper Pyrgomorpha conica reveals abundance of homologous and heterologous higher-order repeats", 
        "pagination": "323-340", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "a1d6b8d0bd6ab6a8308964f8a706bebfd52902c51737a4fe636bd9a211b9ceb5"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "29549528"
            ]
          }, 
          {
            "name": "nlm_unique_id", 
            "type": "PropertyValue", 
            "value": [
              "2985138R"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s00412-018-0666-9"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1101553498"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s00412-018-0666-9", 
          "https://app.dimensions.ai/details/publication/pub.1101553498"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-11T11:57", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000359_0000000359/records_29216_00000003.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://link.springer.com/10.1007%2Fs00412-018-0666-9"
      }
    ]
     

    Download the RDF metadata as:  json-ld nt turtle xml License info

    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s00412-018-0666-9'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s00412-018-0666-9'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00412-018-0666-9'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00412-018-0666-9'


     

    This table displays all metadata directly associated to this object as RDF triples.

    379 TRIPLES      21 PREDICATES      108 URIs      34 LITERALS      22 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s00412-018-0666-9 schema:about N02301a88f9764fa6a0fe629445121d52
    2 N02dcafb71e064ec78b1fe4d004b053a4
    3 N112e9c3c522046a4a07b7d13c074368a
    4 N1cb96f337cf94d8c9b40bdd0bca6be89
    5 N4d17c75e58254c99ba32a0c545a42879
    6 N56a9249e6f18492383e032ee0083262e
    7 N7a5d5bf15fd44a84b7be872ca17b8ab0
    8 N87b5ccce170641049f5af5df51424ce5
    9 Ndc1d7644cd5c475b82e1ce4421998600
    10 Ndc27613d565d4b868670e635a02b9681
    11 Nde3cdce4dd374173b79733ee1ce5da08
    12 Ne159524901974595a2644cb5c526f974
    13 Nf42f971ef6994cad8184b2e19b5ebf96
    14 anzsrc-for:06
    15 anzsrc-for:0604
    16 schema:author Nd3d54977b5dd48639be361317ee49b97
    17 schema:citation sg:pub.10.1007/978-3-0348-7312-3_8
    18 sg:pub.10.1007/978-3-642-57203-6_5
    19 sg:pub.10.1007/bf00352221
    20 sg:pub.10.1007/bf00357105
    21 sg:pub.10.1007/bf00563233
    22 sg:pub.10.1007/bf02100014
    23 sg:pub.10.1007/pl00006298
    24 sg:pub.10.1007/s00412-014-0462-0
    25 sg:pub.10.1007/s00412-014-0492-7
    26 sg:pub.10.1007/s00412-014-0499-0
    27 sg:pub.10.1007/s00412-016-0611-8
    28 sg:pub.10.1007/s10577-015-9483-7
    29 sg:pub.10.1007/s10577-015-9488-2
    30 sg:pub.10.1007/s10709-015-9834-5
    31 sg:pub.10.1038/371215a0
    32 sg:pub.10.1038/hdy.2008.24
    33 sg:pub.10.1038/nmeth.1923
    34 sg:pub.10.1038/srep10315
    35 sg:pub.10.1038/srep28333
    36 sg:pub.10.1186/1471-2164-8-427
    37 sg:pub.10.1186/1471-2229-8-90
    38 sg:pub.10.1186/1759-8753-1-11
    39 https://app.dimensions.ai/details/publication/pub.1077886270
    40 https://app.dimensions.ai/details/publication/pub.1079827282
    41 https://app.dimensions.ai/details/publication/pub.1082668592
    42 https://doi.org/10.1002/(sici)1521-1878(199807)20:7<532::aid-bies3>3.0.co;2-m
    43 https://doi.org/10.1016/0092-8674(85)90170-9
    44 https://doi.org/10.1016/j.devcel.2014.08.016
    45 https://doi.org/10.1016/j.gene.2006.07.016
    46 https://doi.org/10.1016/j.gene.2007.01.019
    47 https://doi.org/10.1016/j.gene.2007.11.013
    48 https://doi.org/10.1016/j.mrfmmm.2006.01.004
    49 https://doi.org/10.1016/j.tig.2014.07.001
    50 https://doi.org/10.1016/s0022-2836(05)80056-7
    51 https://doi.org/10.1038/npg.els.0001889
    52 https://doi.org/10.1073/pnas.1615133114
    53 https://doi.org/10.1083/jcb.103.4.1145
    54 https://doi.org/10.1093/bib/bbs017
    55 https://doi.org/10.1093/bioinformatics/btt054
    56 https://doi.org/10.1093/emboj/cdf612
    57 https://doi.org/10.1093/molbev/msr121
    58 https://doi.org/10.1093/molbev/msr173
    59 https://doi.org/10.1093/nar/27.2.573
    60 https://doi.org/10.1093/nar/gki764
    61 https://doi.org/10.1093/nar/gks596
    62 https://doi.org/10.1093/nar/gkt371
    63 https://doi.org/10.1093/oxfordjournals.molbev.a040606
    64 https://doi.org/10.1101/gr.229202
    65 https://doi.org/10.1111/cla.12116
    66 https://doi.org/10.1111/j.1365-313x.2007.03394.x
    67 https://doi.org/10.1111/j.1755-0998.2010.02847.x
    68 https://doi.org/10.1126/science.1065042
    69 https://doi.org/10.1126/science.161.3841.529
    70 https://doi.org/10.1139/g03-143
    71 https://doi.org/10.1139/g88-105
    72 https://doi.org/10.1139/g93-073
    73 https://doi.org/10.1146/annurev.genet.34.1.187
    74 https://doi.org/10.1159/000324690
    75 https://doi.org/10.1159/000337118
    76 https://doi.org/10.1159/000337122
    77 https://doi.org/10.1159/000365797
    78 https://doi.org/10.1371/journal.pgen.1005466
    79 https://doi.org/10.1371/journal.pone.0017288
    80 https://doi.org/10.1371/journal.pone.0027335
    81 https://doi.org/10.1371/journal.pone.0098918
    82 https://doi.org/10.3390/genes8090230
    83 schema:datePublished 2018-09
    84 schema:datePublishedReg 2018-09-01
    85 schema:description Satellite DNA (satDNA) constitutes an important fraction of repetitive DNA in eukaryotic genomes, but it is barely known in most species. The high-throughput analysis of satDNA in the grasshopper Pyrgomorpha conica revealed 87 satDNA variants grouped into 76 different families, representing 9.4% of the genome. Fluorescent in situ hybridization (FISH) analysis of the 38 most abundant satDNA families revealed four different patterns of chromosome distribution. Homology search between the 76 satDNA families showed the existence of 15 superfamilies, each including two or more families, with the most abundant superfamily representing more than 80% of all satDNA found in this species. This also revealed the presence of two types of higher-order repeats (HORs), one showing internal homologous subrepeats, as conventional HORs, and an additional type showing non-homologous internal subrepeats, the latter arising by the combination of a given satDNA family with a non-annotated sequence, or with telomeric DNA. Interestingly, the heterologous subrepeats included in these HORs showed higher divergence within the HOR than outside it, suggesting that heterologous HORs show poor homogenization, in high contrast with conventional (homologous) HORs. Finally, heterologous HORs can show high differences in divergence between their constituent subrepeats, suggesting the possibility of regional homogenization.
    86 schema:genre research_article
    87 schema:inLanguage en
    88 schema:isAccessibleForFree false
    89 schema:isPartOf N99c65fabf49641dbaea2e8be4cb35a32
    90 Nf71468aeae70493d95233e5245b0fae0
    91 sg:journal.1312277
    92 schema:name High-throughput analysis of satellite DNA in the grasshopper Pyrgomorpha conica reveals abundance of homologous and heterologous higher-order repeats
    93 schema:pagination 323-340
    94 schema:productId N67281f4f5e884284bfd5a54b7d536d78
    95 N7a117294dab340f1bad6521a9b1999b2
    96 N9bc608143d5545278ce5eb96668b1ac3
    97 Nc587550a8cbe40afa1913872743452e2
    98 Ncc0dffbe9c864752b1d69c9272b995ca
    99 schema:sameAs https://app.dimensions.ai/details/publication/pub.1101553498
    100 https://doi.org/10.1007/s00412-018-0666-9
    101 schema:sdDatePublished 2019-04-11T11:57
    102 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    103 schema:sdPublisher N03f05498c41b4755b8784db1279da58c
    104 schema:url https://link.springer.com/10.1007%2Fs00412-018-0666-9
    105 sgo:license sg:explorer/license/
    106 sgo:sdDataset articles
    107 rdf:type schema:ScholarlyArticle
    108 N02301a88f9764fa6a0fe629445121d52 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    109 schema:name Computational Biology
    110 rdf:type schema:DefinedTerm
    111 N02dcafb71e064ec78b1fe4d004b053a4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    112 schema:name Base Composition
    113 rdf:type schema:DefinedTerm
    114 N03f05498c41b4755b8784db1279da58c schema:name Springer Nature - SN SciGraph project
    115 rdf:type schema:Organization
    116 N112e9c3c522046a4a07b7d13c074368a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    117 schema:name Telomere
    118 rdf:type schema:DefinedTerm
    119 N1cb96f337cf94d8c9b40bdd0bca6be89 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    120 schema:name Genomics
    121 rdf:type schema:DefinedTerm
    122 N285d6938f0c14aedb3f69331cc261e42 rdf:first sg:person.01303723704.35
    123 rdf:rest N9a3f5bb06bcb4afe87f4d903f7f525d1
    124 N4d17c75e58254c99ba32a0c545a42879 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    125 schema:name DNA, Satellite
    126 rdf:type schema:DefinedTerm
    127 N56a9249e6f18492383e032ee0083262e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    128 schema:name Animals
    129 rdf:type schema:DefinedTerm
    130 N67281f4f5e884284bfd5a54b7d536d78 schema:name doi
    131 schema:value 10.1007/s00412-018-0666-9
    132 rdf:type schema:PropertyValue
    133 N7a117294dab340f1bad6521a9b1999b2 schema:name pubmed_id
    134 schema:value 29549528
    135 rdf:type schema:PropertyValue
    136 N7a5d5bf15fd44a84b7be872ca17b8ab0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    137 schema:name Chromosome Mapping
    138 rdf:type schema:DefinedTerm
    139 N87b5ccce170641049f5af5df51424ce5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    140 schema:name High-Throughput Nucleotide Sequencing
    141 rdf:type schema:DefinedTerm
    142 N99c65fabf49641dbaea2e8be4cb35a32 schema:volumeNumber 127
    143 rdf:type schema:PublicationVolume
    144 N9a3f5bb06bcb4afe87f4d903f7f525d1 rdf:first sg:person.012764424752.35
    145 rdf:rest Nd59de3022bf044d0a7e667b8dfc3f1d9
    146 N9bc608143d5545278ce5eb96668b1ac3 schema:name readcube_id
    147 schema:value a1d6b8d0bd6ab6a8308964f8a706bebfd52902c51737a4fe636bd9a211b9ceb5
    148 rdf:type schema:PropertyValue
    149 Na9a8d5c3938a441d9401ecd5d451c8dc rdf:first Nfe1036c06c474e02a5b9e8a5d5c2d3f1
    150 rdf:rest Nb6ea2aad794846018adc814afd9cc674
    151 Nb6ea2aad794846018adc814afd9cc674 rdf:first sg:person.01155470101.10
    152 rdf:rest N285d6938f0c14aedb3f69331cc261e42
    153 Nc587550a8cbe40afa1913872743452e2 schema:name nlm_unique_id
    154 schema:value 2985138R
    155 rdf:type schema:PropertyValue
    156 Ncc0dffbe9c864752b1d69c9272b995ca schema:name dimensions_id
    157 schema:value pub.1101553498
    158 rdf:type schema:PropertyValue
    159 Nd3d54977b5dd48639be361317ee49b97 rdf:first sg:person.0754303036.80
    160 rdf:rest Na9a8d5c3938a441d9401ecd5d451c8dc
    161 Nd59de3022bf044d0a7e667b8dfc3f1d9 rdf:first sg:person.010204141734.52
    162 rdf:rest rdf:nil
    163 Ndc1d7644cd5c475b82e1ce4421998600 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    164 schema:name In Situ Hybridization, Fluorescence
    165 rdf:type schema:DefinedTerm
    166 Ndc27613d565d4b868670e635a02b9681 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    167 schema:name Genome, Insect
    168 rdf:type schema:DefinedTerm
    169 Nde3cdce4dd374173b79733ee1ce5da08 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    170 schema:name Tandem Repeat Sequences
    171 rdf:type schema:DefinedTerm
    172 Ne159524901974595a2644cb5c526f974 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    173 schema:name Grasshoppers
    174 rdf:type schema:DefinedTerm
    175 Nf42f971ef6994cad8184b2e19b5ebf96 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    176 schema:name Nucleic Acid Amplification Techniques
    177 rdf:type schema:DefinedTerm
    178 Nf71468aeae70493d95233e5245b0fae0 schema:issueNumber 3
    179 rdf:type schema:PublicationIssue
    180 Nfe1036c06c474e02a5b9e8a5d5c2d3f1 schema:affiliation https://www.grid.ac/institutes/grid.440831.a
    181 schema:familyName Castillo-Martínez
    182 schema:givenName Jesús
    183 rdf:type schema:Person
    184 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
    185 schema:name Biological Sciences
    186 rdf:type schema:DefinedTerm
    187 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
    188 schema:name Genetics
    189 rdf:type schema:DefinedTerm
    190 sg:journal.1312277 schema:issn 0009-5915
    191 1432-0886
    192 schema:name Chromosoma
    193 rdf:type schema:Periodical
    194 sg:person.010204141734.52 schema:affiliation https://www.grid.ac/institutes/grid.4489.1
    195 schema:familyName López-León
    196 schema:givenName María Dolores
    197 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010204141734.52
    198 rdf:type schema:Person
    199 sg:person.01155470101.10 schema:affiliation https://www.grid.ac/institutes/grid.4489.1
    200 schema:familyName Cabrero
    201 schema:givenName Josefa
    202 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01155470101.10
    203 rdf:type schema:Person
    204 sg:person.012764424752.35 schema:affiliation https://www.grid.ac/institutes/grid.4489.1
    205 schema:familyName Camacho
    206 schema:givenName Juan Pedro M.
    207 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012764424752.35
    208 rdf:type schema:Person
    209 sg:person.01303723704.35 schema:affiliation https://www.grid.ac/institutes/grid.8048.4
    210 schema:familyName Gómez
    211 schema:givenName Ricardo
    212 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01303723704.35
    213 rdf:type schema:Person
    214 sg:person.0754303036.80 schema:affiliation https://www.grid.ac/institutes/grid.4489.1
    215 schema:familyName Ruiz-Ruano
    216 schema:givenName Francisco J.
    217 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0754303036.80
    218 rdf:type schema:Person
    219 sg:pub.10.1007/978-3-0348-7312-3_8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041168133
    220 https://doi.org/10.1007/978-3-0348-7312-3_8
    221 rdf:type schema:CreativeWork
    222 sg:pub.10.1007/978-3-642-57203-6_5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018506732
    223 https://doi.org/10.1007/978-3-642-57203-6_5
    224 rdf:type schema:CreativeWork
    225 sg:pub.10.1007/bf00352221 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010406016
    226 https://doi.org/10.1007/bf00352221
    227 rdf:type schema:CreativeWork
    228 sg:pub.10.1007/bf00357105 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025660775
    229 https://doi.org/10.1007/bf00357105
    230 rdf:type schema:CreativeWork
    231 sg:pub.10.1007/bf00563233 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027592750
    232 https://doi.org/10.1007/bf00563233
    233 rdf:type schema:CreativeWork
    234 sg:pub.10.1007/bf02100014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021722113
    235 https://doi.org/10.1007/bf02100014
    236 rdf:type schema:CreativeWork
    237 sg:pub.10.1007/pl00006298 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043025809
    238 https://doi.org/10.1007/pl00006298
    239 rdf:type schema:CreativeWork
    240 sg:pub.10.1007/s00412-014-0462-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019800077
    241 https://doi.org/10.1007/s00412-014-0462-0
    242 rdf:type schema:CreativeWork
    243 sg:pub.10.1007/s00412-014-0492-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006811829
    244 https://doi.org/10.1007/s00412-014-0492-7
    245 rdf:type schema:CreativeWork
    246 sg:pub.10.1007/s00412-014-0499-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002444589
    247 https://doi.org/10.1007/s00412-014-0499-0
    248 rdf:type schema:CreativeWork
    249 sg:pub.10.1007/s00412-016-0611-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000377195
    250 https://doi.org/10.1007/s00412-016-0611-8
    251 rdf:type schema:CreativeWork
    252 sg:pub.10.1007/s10577-015-9483-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045474754
    253 https://doi.org/10.1007/s10577-015-9483-7
    254 rdf:type schema:CreativeWork
    255 sg:pub.10.1007/s10577-015-9488-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003056215
    256 https://doi.org/10.1007/s10577-015-9488-2
    257 rdf:type schema:CreativeWork
    258 sg:pub.10.1007/s10709-015-9834-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000217071
    259 https://doi.org/10.1007/s10709-015-9834-5
    260 rdf:type schema:CreativeWork
    261 sg:pub.10.1038/371215a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028852240
    262 https://doi.org/10.1038/371215a0
    263 rdf:type schema:CreativeWork
    264 sg:pub.10.1038/hdy.2008.24 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037111832
    265 https://doi.org/10.1038/hdy.2008.24
    266 rdf:type schema:CreativeWork
    267 sg:pub.10.1038/nmeth.1923 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006541515
    268 https://doi.org/10.1038/nmeth.1923
    269 rdf:type schema:CreativeWork
    270 sg:pub.10.1038/srep10315 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047708893
    271 https://doi.org/10.1038/srep10315
    272 rdf:type schema:CreativeWork
    273 sg:pub.10.1038/srep28333 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031079404
    274 https://doi.org/10.1038/srep28333
    275 rdf:type schema:CreativeWork
    276 sg:pub.10.1186/1471-2164-8-427 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029209399
    277 https://doi.org/10.1186/1471-2164-8-427
    278 rdf:type schema:CreativeWork
    279 sg:pub.10.1186/1471-2229-8-90 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043704405
    280 https://doi.org/10.1186/1471-2229-8-90
    281 rdf:type schema:CreativeWork
    282 sg:pub.10.1186/1759-8753-1-11 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036864959
    283 https://doi.org/10.1186/1759-8753-1-11
    284 rdf:type schema:CreativeWork
    285 https://app.dimensions.ai/details/publication/pub.1077886270 schema:CreativeWork
    286 https://app.dimensions.ai/details/publication/pub.1079827282 schema:CreativeWork
    287 https://app.dimensions.ai/details/publication/pub.1082668592 schema:CreativeWork
    288 https://doi.org/10.1002/(sici)1521-1878(199807)20:7<532::aid-bies3>3.0.co;2-m schema:sameAs https://app.dimensions.ai/details/publication/pub.1047917619
    289 rdf:type schema:CreativeWork
    290 https://doi.org/10.1016/0092-8674(85)90170-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042030291
    291 rdf:type schema:CreativeWork
    292 https://doi.org/10.1016/j.devcel.2014.08.016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024220053
    293 rdf:type schema:CreativeWork
    294 https://doi.org/10.1016/j.gene.2006.07.016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023987245
    295 rdf:type schema:CreativeWork
    296 https://doi.org/10.1016/j.gene.2007.01.019 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034355955
    297 rdf:type schema:CreativeWork
    298 https://doi.org/10.1016/j.gene.2007.11.013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050582166
    299 rdf:type schema:CreativeWork
    300 https://doi.org/10.1016/j.mrfmmm.2006.01.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006552935
    301 rdf:type schema:CreativeWork
    302 https://doi.org/10.1016/j.tig.2014.07.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024809086
    303 rdf:type schema:CreativeWork
    304 https://doi.org/10.1016/s0022-2836(05)80056-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032358288
    305 rdf:type schema:CreativeWork
    306 https://doi.org/10.1038/npg.els.0001889 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017962035
    307 rdf:type schema:CreativeWork
    308 https://doi.org/10.1073/pnas.1615133114 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083687743
    309 rdf:type schema:CreativeWork
    310 https://doi.org/10.1083/jcb.103.4.1145 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002455271
    311 rdf:type schema:CreativeWork
    312 https://doi.org/10.1093/bib/bbs017 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029766327
    313 rdf:type schema:CreativeWork
    314 https://doi.org/10.1093/bioinformatics/btt054 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005532824
    315 rdf:type schema:CreativeWork
    316 https://doi.org/10.1093/emboj/cdf612 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002823233
    317 rdf:type schema:CreativeWork
    318 https://doi.org/10.1093/molbev/msr121 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049273973
    319 rdf:type schema:CreativeWork
    320 https://doi.org/10.1093/molbev/msr173 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046719000
    321 rdf:type schema:CreativeWork
    322 https://doi.org/10.1093/nar/27.2.573 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035372973
    323 rdf:type schema:CreativeWork
    324 https://doi.org/10.1093/nar/gki764 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040239634
    325 rdf:type schema:CreativeWork
    326 https://doi.org/10.1093/nar/gks596 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014785724
    327 rdf:type schema:CreativeWork
    328 https://doi.org/10.1093/nar/gkt371 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023830050
    329 rdf:type schema:CreativeWork
    330 https://doi.org/10.1093/oxfordjournals.molbev.a040606 schema:sameAs https://app.dimensions.ai/details/publication/pub.1077955831
    331 rdf:type schema:CreativeWork
    332 https://doi.org/10.1101/gr.229202 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006260064
    333 rdf:type schema:CreativeWork
    334 https://doi.org/10.1111/cla.12116 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038770651
    335 rdf:type schema:CreativeWork
    336 https://doi.org/10.1111/j.1365-313x.2007.03394.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1031313003
    337 rdf:type schema:CreativeWork
    338 https://doi.org/10.1111/j.1755-0998.2010.02847.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1020645983
    339 rdf:type schema:CreativeWork
    340 https://doi.org/10.1126/science.1065042 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026654192
    341 rdf:type schema:CreativeWork
    342 https://doi.org/10.1126/science.161.3841.529 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062495047
    343 rdf:type schema:CreativeWork
    344 https://doi.org/10.1139/g03-143 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000584195
    345 rdf:type schema:CreativeWork
    346 https://doi.org/10.1139/g88-105 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009317933
    347 rdf:type schema:CreativeWork
    348 https://doi.org/10.1139/g93-073 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023894031
    349 rdf:type schema:CreativeWork
    350 https://doi.org/10.1146/annurev.genet.34.1.187 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028965230
    351 rdf:type schema:CreativeWork
    352 https://doi.org/10.1159/000324690 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019769683
    353 rdf:type schema:CreativeWork
    354 https://doi.org/10.1159/000337118 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042221133
    355 rdf:type schema:CreativeWork
    356 https://doi.org/10.1159/000337122 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009146674
    357 rdf:type schema:CreativeWork
    358 https://doi.org/10.1159/000365797 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010386463
    359 rdf:type schema:CreativeWork
    360 https://doi.org/10.1371/journal.pgen.1005466 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022014269
    361 rdf:type schema:CreativeWork
    362 https://doi.org/10.1371/journal.pone.0017288 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043584914
    363 rdf:type schema:CreativeWork
    364 https://doi.org/10.1371/journal.pone.0027335 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036597927
    365 rdf:type schema:CreativeWork
    366 https://doi.org/10.1371/journal.pone.0098918 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051167164
    367 rdf:type schema:CreativeWork
    368 https://doi.org/10.3390/genes8090230 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091829677
    369 rdf:type schema:CreativeWork
    370 https://www.grid.ac/institutes/grid.440831.a schema:alternateName Valencia Catholic University Saint Vincent Martyr
    371 schema:name Departamento de Genética. Facultad de Ciencias, Universidad de Granada, 18071, Granada, Spain
    372 Facultad de Medicina, Universidad Católica de Valencia, C/Quevedo 2, 46001, Valencia, Spain
    373 rdf:type schema:Organization
    374 https://www.grid.ac/institutes/grid.4489.1 schema:alternateName University of Granada
    375 schema:name Departamento de Genética. Facultad de Ciencias, Universidad de Granada, 18071, Granada, Spain
    376 rdf:type schema:Organization
    377 https://www.grid.ac/institutes/grid.8048.4 schema:alternateName University of Castile-La Mancha
    378 schema:name Departamento de Ciencia y Tecnología Agroforestal, E.T.S. de Ingenieros Agrónomos, Universidad de Castilla La Mancha, 02071, Albacete, Spain
    379 rdf:type schema:Organization
     




    Preview window. Press ESC to close (or click here)


    ...