Comparative assessment of genetic diversity in cytoplasmic and nuclear genome of upland cotton View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2016-06

AUTHORS

Sharof S. Egamberdiev, Sukumar Saha, Ilkhom Salakhutdinov, Johnie N. Jenkins, Dewayne Deng, Ibrokhim Y. Abdurakhmonov

ABSTRACT

The importance of the cytoplasmic genome for many economically important traits is well documented in several crop species, including cotton. There is no report on application of cotton chloroplast specific SSR markers as a diagnostic tool to study genetic diversity among improved Upland cotton lines. The complete plastome sequence information in GenBank provided us an opportunity to report on 17 chloroplast specific SSR markers using a cost-effective data mining strategy. Here we report the comparative analysis of genetic diversity among a set of 42 improved Upland cotton lines using SSR markers specific to chloroplast and nuclear genome, respectively. Our results revealed that low to moderate level of genetic diversity existed in both nuclear and cytoplasm genome among this set of cotton lines. However, the specific estimation suggested that genetic diversity is lower in cytoplasmic genome compared to the nuclear genome among this set of Upland cotton lines. In summary, this research is important from several perspectives. We detected a set of cytoplasm genome specific SSR primer pairs by using a cost-effective data mining strategy. We reported for the first time the genetic diversity in the cytoplasmic genome within a set of improved Upland cotton accessions. Results revealed that the genetic diversity in cytoplasmic genome is narrow, compared to the nuclear genome within this set of Upland cotton accessions. Our results suggested that most of these polymorphic chloroplast SSRs would be a valuable complementary tool in addition to the nuclear SSR in the study of evolution, gene flow and genetic diversity in Upland cotton. More... »

PAGES

289-306

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10709-016-9898-x

DOI

http://dx.doi.org/10.1007/s10709-016-9898-x

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1019825732

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/27155886


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": "Alleles", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Gene Frequency", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Genetic Variation", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Genome, Chloroplast", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Genome, Plant", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Gossypium", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Microsatellite Repeats", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Phylogeny", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Academy of Sciences Republic of Uzbekistan", 
          "id": "https://www.grid.ac/institutes/grid.419209.7", 
          "name": [
            "Center of Genomics and Bioinformatics, Academy of Sciences of Uzbekistan, 111215, Tashkent, Uzbekistan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Egamberdiev", 
        "givenName": "Sharof S.", 
        "id": "sg:person.0673550615.08", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0673550615.08"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Agricultural Research Service", 
          "id": "https://www.grid.ac/institutes/grid.463419.d", 
          "name": [
            "Crop Science Research Laboratory, Genetics and Sustainable Agriculture Research Unit, USDA-ARS, 39762, Mississippi State, MS, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Saha", 
        "givenName": "Sukumar", 
        "id": "sg:person.01034101433.24", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01034101433.24"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Academy of Sciences Republic of Uzbekistan", 
          "id": "https://www.grid.ac/institutes/grid.419209.7", 
          "name": [
            "Center of Genomics and Bioinformatics, Academy of Sciences of Uzbekistan, 111215, Tashkent, Uzbekistan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Salakhutdinov", 
        "givenName": "Ilkhom", 
        "id": "sg:person.0762734061.50", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0762734061.50"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Agricultural Research Service", 
          "id": "https://www.grid.ac/institutes/grid.463419.d", 
          "name": [
            "Crop Science Research Laboratory, Genetics and Sustainable Agriculture Research Unit, USDA-ARS, 39762, Mississippi State, MS, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Jenkins", 
        "givenName": "Johnie N.", 
        "id": "sg:person.0665207223.69", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0665207223.69"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Agricultural Research Service", 
          "id": "https://www.grid.ac/institutes/grid.463419.d", 
          "name": [
            "Crop Science Research Laboratory, Genetics and Sustainable Agriculture Research Unit, USDA-ARS, 39762, Mississippi State, MS, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Deng", 
        "givenName": "Dewayne", 
        "id": "sg:person.01020660172.56", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01020660172.56"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Academy of Sciences Republic of Uzbekistan", 
          "id": "https://www.grid.ac/institutes/grid.419209.7", 
          "name": [
            "Center of Genomics and Bioinformatics, Academy of Sciences of Uzbekistan, 111215, Tashkent, Uzbekistan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Y. Abdurakhmonov", 
        "givenName": "Ibrokhim", 
        "id": "sg:person.01226546560.26", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01226546560.26"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.5772/35384", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000503695"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11032-008-9210-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002387534", 
          "https://doi.org/10.1007/s11032-008-9210-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1139/g98-104", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003844252"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2164-7-61", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004885371", 
          "https://doi.org/10.1186/1471-2164-7-61"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3732/ajb.94.1.42", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006598399"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1046/j.1365-294x.2000.105316.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007073883"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-294x.1996.tb00353.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007112629"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1046/j.1365-294x.2003.01890.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007265624"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00122-008-0828-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007480010", 
          "https://doi.org/10.1007/s00122-008-0828-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00122-008-0828-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007480010", 
          "https://doi.org/10.1007/s00122-008-0828-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10681-013-0886-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009219940", 
          "https://doi.org/10.1007/s10681-013-0886-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1469-185x.1982.tb00373.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009371804"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/bies.20194", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010993162"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1755-0998.2008.02319.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012074432"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1558-5646.2008.00413.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013548107"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0147-619x(80)90063-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013550955"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1673-8527(07)60062-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013884425"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s001220050940", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015632032", 
          "https://doi.org/10.1007/s001220050940"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s001220050940", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015632032", 
          "https://doi.org/10.1007/s001220050940"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1043/02-39.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019573794"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10681-004-3032-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020247725", 
          "https://doi.org/10.1007/s10681-004-3032-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s13562-010-0020-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020294696", 
          "https://doi.org/10.1007/s13562-010-0020-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1266/ggs.81.311", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021128584"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.86.11.4132", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021564914"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10681-008-9748-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022192480", 
          "https://doi.org/10.1007/s10681-008-9748-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10681-008-9748-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022192480", 
          "https://doi.org/10.1007/s10681-008-9748-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3732/apps.1400059", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023437763"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1046/j.1365-294x.2002.01643.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025437171"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1155/2011/894598", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025816484"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0169-5347(00)02097-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026229109"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1139/g02-087", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027780455"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00417952", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028689793", 
          "https://doi.org/10.1007/bf00417952"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00417952", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028689793", 
          "https://doi.org/10.1007/bf00417952"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00260905", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028978298", 
          "https://doi.org/10.1007/bf00260905"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00260905", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028978298", 
          "https://doi.org/10.1007/bf00260905"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00122-013-2217-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030978844", 
          "https://doi.org/10.1007/s00122-013-2217-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10709-008-9337-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033058592", 
          "https://doi.org/10.1007/s10709-008-9337-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/b:euph.0000009548.81467.73", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033257344", 
          "https://doi.org/10.1023/b:euph.0000009548.81467.73"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3732/ajb.89.4.707", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034396700"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1534/genetics.107.071969", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034857571"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1534/genetics.107.071969", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034857571"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-294x.2005.02504.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035240008"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00122-003-1406-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037886581", 
          "https://doi.org/10.1007/s00122-003-1406-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00122-003-1406-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037886581", 
          "https://doi.org/10.1007/s00122-003-1406-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11032-006-9042-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038122368", 
          "https://doi.org/10.1007/s11032-006-9042-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10722-013-0018-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038991853", 
          "https://doi.org/10.1007/s10722-013-0018-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1146/annurev.py.10.090172.000345", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040412257"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/bti282", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040416489"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10722-013-9957-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041420062", 
          "https://doi.org/10.1007/s10722-013-9957-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1471-8286.2004.00636.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043615651"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2164-7-132", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043773456", 
          "https://doi.org/10.1186/1471-2164-7-132"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1534/g3.111.001552", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047570532"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1534/g3.111.001552", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047570532"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1590/s1415-47572006000200021", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048323560"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1046/j.1365-2540.1998.00342.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050383240", 
          "https://doi.org/10.1046/j.1365-2540.1998.00342.x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0378-1127(01)00637-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050649976"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0037128", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050924355"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/15427528.2012.664614", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050942877"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ygeno.2008.07.013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050978090"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0057220", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052879512"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.285.5433.1562", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062566509"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2135/cropsci1978.0011183x001800060005x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069018046"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2135/cropsci2004.0581", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069028574"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2135/cropsci2011.04.0202", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069031509"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3198/jpr2006.09.0587crg", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1071120350"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4238/vol10-3gmr1277", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1072396698"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1074544770", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1075174289", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1077358874", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/oxfordjournals.molbev.a040442", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1079687904"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2016-06", 
    "datePublishedReg": "2016-06-01", 
    "description": "The importance of the cytoplasmic genome for many economically important traits is well documented in several crop species, including cotton. There is no report on application of cotton chloroplast specific SSR markers as a diagnostic tool to study genetic diversity among improved Upland cotton lines. The complete plastome sequence information in GenBank provided us an opportunity to report on 17 chloroplast specific SSR markers using a cost-effective data mining strategy. Here we report the comparative analysis of genetic diversity among a set of 42 improved Upland cotton lines using SSR markers specific to chloroplast and nuclear genome, respectively. Our results revealed that low to moderate level of genetic diversity existed in both nuclear and cytoplasm genome among this set of cotton lines. However, the specific estimation suggested that genetic diversity is lower in cytoplasmic genome compared to the nuclear genome among this set of Upland cotton lines. In summary, this research is important from several perspectives. We detected a set of cytoplasm genome specific SSR primer pairs by using a cost-effective data mining strategy. We reported for the first time the genetic diversity in the cytoplasmic genome within a set of improved Upland cotton accessions. Results revealed that the genetic diversity in cytoplasmic genome is narrow, compared to the nuclear genome within this set of Upland cotton accessions. Our results suggested that most of these polymorphic chloroplast SSRs would be a valuable complementary tool in addition to the nuclear SSR in the study of evolution, gene flow and genetic diversity in Upland cotton. ", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s10709-016-9898-x", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1017127", 
        "issn": [
          "0016-6707", 
          "1573-6857"
        ], 
        "name": "Genetica", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "3", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "144"
      }
    ], 
    "name": "Comparative assessment of genetic diversity in cytoplasmic and nuclear genome of upland cotton", 
    "pagination": "289-306", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "5e76183c8920403387e7607aba0b73cc045b01d9a8bda889b7e87a6daf66b903"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "27155886"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "0370740"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s10709-016-9898-x"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1019825732"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s10709-016-9898-x", 
      "https://app.dimensions.ai/details/publication/pub.1019825732"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T15:55", 
    "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/v90/0000000001_0000000264/records_8664_00000531.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs10709-016-9898-x"
  }
]
 

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/s10709-016-9898-x'

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/s10709-016-9898-x'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10709-016-9898-x'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10709-016-9898-x'


 

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

341 TRIPLES      21 PREDICATES      99 URIs      29 LITERALS      17 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s10709-016-9898-x schema:about N0141f7d8a38f4ce38940aeec70dc9f4d
2 N0885815537a14eb1b97e31e1453ab5d5
3 N29e0506dc0d64184911f629cf1a6cd90
4 N3387236ba5a745fab35079cb5941946d
5 N4f37e9a04ab346b288cede98d2ce04d0
6 N524e2db0aac04b88ab6cc232d11332c1
7 Nd8cbf89385fa4447a08eccda5e5cae0c
8 Ne5e33be8031945dabe35be986fe4a15f
9 anzsrc-for:06
10 anzsrc-for:0604
11 schema:author N443612884bc948dda65800503da87374
12 schema:citation sg:pub.10.1007/bf00260905
13 sg:pub.10.1007/bf00417952
14 sg:pub.10.1007/s00122-003-1406-x
15 sg:pub.10.1007/s00122-008-0828-x
16 sg:pub.10.1007/s00122-013-2217-3
17 sg:pub.10.1007/s001220050940
18 sg:pub.10.1007/s10681-004-3032-3
19 sg:pub.10.1007/s10681-008-9748-8
20 sg:pub.10.1007/s10681-013-0886-2
21 sg:pub.10.1007/s10709-008-9337-8
22 sg:pub.10.1007/s10722-013-0018-9
23 sg:pub.10.1007/s10722-013-9957-4
24 sg:pub.10.1007/s11032-006-9042-1
25 sg:pub.10.1007/s11032-008-9210-6
26 sg:pub.10.1007/s13562-010-0020-7
27 sg:pub.10.1023/b:euph.0000009548.81467.73
28 sg:pub.10.1046/j.1365-2540.1998.00342.x
29 sg:pub.10.1186/1471-2164-7-132
30 sg:pub.10.1186/1471-2164-7-61
31 https://app.dimensions.ai/details/publication/pub.1074544770
32 https://app.dimensions.ai/details/publication/pub.1075174289
33 https://app.dimensions.ai/details/publication/pub.1077358874
34 https://doi.org/10.1002/bies.20194
35 https://doi.org/10.1016/0147-619x(80)90063-3
36 https://doi.org/10.1016/j.ygeno.2008.07.013
37 https://doi.org/10.1016/s0169-5347(00)02097-8
38 https://doi.org/10.1016/s0378-1127(01)00637-5
39 https://doi.org/10.1016/s1673-8527(07)60062-9
40 https://doi.org/10.1043/02-39.1
41 https://doi.org/10.1046/j.1365-294x.2000.105316.x
42 https://doi.org/10.1046/j.1365-294x.2002.01643.x
43 https://doi.org/10.1046/j.1365-294x.2003.01890.x
44 https://doi.org/10.1073/pnas.86.11.4132
45 https://doi.org/10.1080/15427528.2012.664614
46 https://doi.org/10.1093/bioinformatics/bti282
47 https://doi.org/10.1093/oxfordjournals.molbev.a040442
48 https://doi.org/10.1111/j.1365-294x.1996.tb00353.x
49 https://doi.org/10.1111/j.1365-294x.2005.02504.x
50 https://doi.org/10.1111/j.1469-185x.1982.tb00373.x
51 https://doi.org/10.1111/j.1471-8286.2004.00636.x
52 https://doi.org/10.1111/j.1558-5646.2008.00413.x
53 https://doi.org/10.1111/j.1755-0998.2008.02319.x
54 https://doi.org/10.1126/science.285.5433.1562
55 https://doi.org/10.1139/g02-087
56 https://doi.org/10.1139/g98-104
57 https://doi.org/10.1146/annurev.py.10.090172.000345
58 https://doi.org/10.1155/2011/894598
59 https://doi.org/10.1266/ggs.81.311
60 https://doi.org/10.1371/journal.pone.0037128
61 https://doi.org/10.1371/journal.pone.0057220
62 https://doi.org/10.1534/g3.111.001552
63 https://doi.org/10.1534/genetics.107.071969
64 https://doi.org/10.1590/s1415-47572006000200021
65 https://doi.org/10.2135/cropsci1978.0011183x001800060005x
66 https://doi.org/10.2135/cropsci2004.0581
67 https://doi.org/10.2135/cropsci2011.04.0202
68 https://doi.org/10.3198/jpr2006.09.0587crg
69 https://doi.org/10.3732/ajb.89.4.707
70 https://doi.org/10.3732/ajb.94.1.42
71 https://doi.org/10.3732/apps.1400059
72 https://doi.org/10.4238/vol10-3gmr1277
73 https://doi.org/10.5772/35384
74 schema:datePublished 2016-06
75 schema:datePublishedReg 2016-06-01
76 schema:description The importance of the cytoplasmic genome for many economically important traits is well documented in several crop species, including cotton. There is no report on application of cotton chloroplast specific SSR markers as a diagnostic tool to study genetic diversity among improved Upland cotton lines. The complete plastome sequence information in GenBank provided us an opportunity to report on 17 chloroplast specific SSR markers using a cost-effective data mining strategy. Here we report the comparative analysis of genetic diversity among a set of 42 improved Upland cotton lines using SSR markers specific to chloroplast and nuclear genome, respectively. Our results revealed that low to moderate level of genetic diversity existed in both nuclear and cytoplasm genome among this set of cotton lines. However, the specific estimation suggested that genetic diversity is lower in cytoplasmic genome compared to the nuclear genome among this set of Upland cotton lines. In summary, this research is important from several perspectives. We detected a set of cytoplasm genome specific SSR primer pairs by using a cost-effective data mining strategy. We reported for the first time the genetic diversity in the cytoplasmic genome within a set of improved Upland cotton accessions. Results revealed that the genetic diversity in cytoplasmic genome is narrow, compared to the nuclear genome within this set of Upland cotton accessions. Our results suggested that most of these polymorphic chloroplast SSRs would be a valuable complementary tool in addition to the nuclear SSR in the study of evolution, gene flow and genetic diversity in Upland cotton.
77 schema:genre research_article
78 schema:inLanguage en
79 schema:isAccessibleForFree false
80 schema:isPartOf N826c88c47c8a417ba9909a28d3b383a2
81 Nde2908fbe8614b30b95adc0bf9b6f039
82 sg:journal.1017127
83 schema:name Comparative assessment of genetic diversity in cytoplasmic and nuclear genome of upland cotton
84 schema:pagination 289-306
85 schema:productId N23ed9d5133ca4b0993df8f4ead9057a3
86 N27ad13f3a33647a99a97375f596bdda6
87 N6aaec260f7384faa974e6dc72c927ddf
88 N7d08c652156e40a982bbfbb9c6182f2f
89 Ncc236cdf55764231b7ac343939d98558
90 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019825732
91 https://doi.org/10.1007/s10709-016-9898-x
92 schema:sdDatePublished 2019-04-10T15:55
93 schema:sdLicense https://scigraph.springernature.com/explorer/license/
94 schema:sdPublisher N34bc7b14015f4efc96652fdc1e46a8dd
95 schema:url http://link.springer.com/10.1007%2Fs10709-016-9898-x
96 sgo:license sg:explorer/license/
97 sgo:sdDataset articles
98 rdf:type schema:ScholarlyArticle
99 N0141f7d8a38f4ce38940aeec70dc9f4d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
100 schema:name Genome, Chloroplast
101 rdf:type schema:DefinedTerm
102 N06ce15974bf74805aa0f877f82e0776f rdf:first sg:person.01034101433.24
103 rdf:rest N9b318b496b3e46c7a0056136e7ce63d3
104 N0885815537a14eb1b97e31e1453ab5d5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
105 schema:name Genome, Plant
106 rdf:type schema:DefinedTerm
107 N23ed9d5133ca4b0993df8f4ead9057a3 schema:name doi
108 schema:value 10.1007/s10709-016-9898-x
109 rdf:type schema:PropertyValue
110 N27ad13f3a33647a99a97375f596bdda6 schema:name dimensions_id
111 schema:value pub.1019825732
112 rdf:type schema:PropertyValue
113 N29e0506dc0d64184911f629cf1a6cd90 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
114 schema:name Gossypium
115 rdf:type schema:DefinedTerm
116 N3387236ba5a745fab35079cb5941946d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
117 schema:name Microsatellite Repeats
118 rdf:type schema:DefinedTerm
119 N34bc7b14015f4efc96652fdc1e46a8dd schema:name Springer Nature - SN SciGraph project
120 rdf:type schema:Organization
121 N443612884bc948dda65800503da87374 rdf:first sg:person.0673550615.08
122 rdf:rest N06ce15974bf74805aa0f877f82e0776f
123 N4f37e9a04ab346b288cede98d2ce04d0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
124 schema:name Gene Frequency
125 rdf:type schema:DefinedTerm
126 N524e2db0aac04b88ab6cc232d11332c1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
127 schema:name Genetic Variation
128 rdf:type schema:DefinedTerm
129 N6aaec260f7384faa974e6dc72c927ddf schema:name pubmed_id
130 schema:value 27155886
131 rdf:type schema:PropertyValue
132 N740bb43e85954ce69daf17b270273e4f rdf:first sg:person.01226546560.26
133 rdf:rest rdf:nil
134 N7d08c652156e40a982bbfbb9c6182f2f schema:name nlm_unique_id
135 schema:value 0370740
136 rdf:type schema:PropertyValue
137 N826c88c47c8a417ba9909a28d3b383a2 schema:issueNumber 3
138 rdf:type schema:PublicationIssue
139 N9b318b496b3e46c7a0056136e7ce63d3 rdf:first sg:person.0762734061.50
140 rdf:rest Nae5716c8167b4be9a5c0b702dfcf3e14
141 Nae5716c8167b4be9a5c0b702dfcf3e14 rdf:first sg:person.0665207223.69
142 rdf:rest Nfaf63c0315f04ea0a4693ede97b12b46
143 Ncc236cdf55764231b7ac343939d98558 schema:name readcube_id
144 schema:value 5e76183c8920403387e7607aba0b73cc045b01d9a8bda889b7e87a6daf66b903
145 rdf:type schema:PropertyValue
146 Nd8cbf89385fa4447a08eccda5e5cae0c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
147 schema:name Alleles
148 rdf:type schema:DefinedTerm
149 Nde2908fbe8614b30b95adc0bf9b6f039 schema:volumeNumber 144
150 rdf:type schema:PublicationVolume
151 Ne5e33be8031945dabe35be986fe4a15f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
152 schema:name Phylogeny
153 rdf:type schema:DefinedTerm
154 Nfaf63c0315f04ea0a4693ede97b12b46 rdf:first sg:person.01020660172.56
155 rdf:rest N740bb43e85954ce69daf17b270273e4f
156 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
157 schema:name Biological Sciences
158 rdf:type schema:DefinedTerm
159 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
160 schema:name Genetics
161 rdf:type schema:DefinedTerm
162 sg:journal.1017127 schema:issn 0016-6707
163 1573-6857
164 schema:name Genetica
165 rdf:type schema:Periodical
166 sg:person.01020660172.56 schema:affiliation https://www.grid.ac/institutes/grid.463419.d
167 schema:familyName Deng
168 schema:givenName Dewayne
169 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01020660172.56
170 rdf:type schema:Person
171 sg:person.01034101433.24 schema:affiliation https://www.grid.ac/institutes/grid.463419.d
172 schema:familyName Saha
173 schema:givenName Sukumar
174 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01034101433.24
175 rdf:type schema:Person
176 sg:person.01226546560.26 schema:affiliation https://www.grid.ac/institutes/grid.419209.7
177 schema:familyName Y. Abdurakhmonov
178 schema:givenName Ibrokhim
179 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01226546560.26
180 rdf:type schema:Person
181 sg:person.0665207223.69 schema:affiliation https://www.grid.ac/institutes/grid.463419.d
182 schema:familyName Jenkins
183 schema:givenName Johnie N.
184 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0665207223.69
185 rdf:type schema:Person
186 sg:person.0673550615.08 schema:affiliation https://www.grid.ac/institutes/grid.419209.7
187 schema:familyName Egamberdiev
188 schema:givenName Sharof S.
189 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0673550615.08
190 rdf:type schema:Person
191 sg:person.0762734061.50 schema:affiliation https://www.grid.ac/institutes/grid.419209.7
192 schema:familyName Salakhutdinov
193 schema:givenName Ilkhom
194 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0762734061.50
195 rdf:type schema:Person
196 sg:pub.10.1007/bf00260905 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028978298
197 https://doi.org/10.1007/bf00260905
198 rdf:type schema:CreativeWork
199 sg:pub.10.1007/bf00417952 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028689793
200 https://doi.org/10.1007/bf00417952
201 rdf:type schema:CreativeWork
202 sg:pub.10.1007/s00122-003-1406-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1037886581
203 https://doi.org/10.1007/s00122-003-1406-x
204 rdf:type schema:CreativeWork
205 sg:pub.10.1007/s00122-008-0828-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1007480010
206 https://doi.org/10.1007/s00122-008-0828-x
207 rdf:type schema:CreativeWork
208 sg:pub.10.1007/s00122-013-2217-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030978844
209 https://doi.org/10.1007/s00122-013-2217-3
210 rdf:type schema:CreativeWork
211 sg:pub.10.1007/s001220050940 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015632032
212 https://doi.org/10.1007/s001220050940
213 rdf:type schema:CreativeWork
214 sg:pub.10.1007/s10681-004-3032-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020247725
215 https://doi.org/10.1007/s10681-004-3032-3
216 rdf:type schema:CreativeWork
217 sg:pub.10.1007/s10681-008-9748-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022192480
218 https://doi.org/10.1007/s10681-008-9748-8
219 rdf:type schema:CreativeWork
220 sg:pub.10.1007/s10681-013-0886-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009219940
221 https://doi.org/10.1007/s10681-013-0886-2
222 rdf:type schema:CreativeWork
223 sg:pub.10.1007/s10709-008-9337-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033058592
224 https://doi.org/10.1007/s10709-008-9337-8
225 rdf:type schema:CreativeWork
226 sg:pub.10.1007/s10722-013-0018-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038991853
227 https://doi.org/10.1007/s10722-013-0018-9
228 rdf:type schema:CreativeWork
229 sg:pub.10.1007/s10722-013-9957-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041420062
230 https://doi.org/10.1007/s10722-013-9957-4
231 rdf:type schema:CreativeWork
232 sg:pub.10.1007/s11032-006-9042-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038122368
233 https://doi.org/10.1007/s11032-006-9042-1
234 rdf:type schema:CreativeWork
235 sg:pub.10.1007/s11032-008-9210-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002387534
236 https://doi.org/10.1007/s11032-008-9210-6
237 rdf:type schema:CreativeWork
238 sg:pub.10.1007/s13562-010-0020-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020294696
239 https://doi.org/10.1007/s13562-010-0020-7
240 rdf:type schema:CreativeWork
241 sg:pub.10.1023/b:euph.0000009548.81467.73 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033257344
242 https://doi.org/10.1023/b:euph.0000009548.81467.73
243 rdf:type schema:CreativeWork
244 sg:pub.10.1046/j.1365-2540.1998.00342.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1050383240
245 https://doi.org/10.1046/j.1365-2540.1998.00342.x
246 rdf:type schema:CreativeWork
247 sg:pub.10.1186/1471-2164-7-132 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043773456
248 https://doi.org/10.1186/1471-2164-7-132
249 rdf:type schema:CreativeWork
250 sg:pub.10.1186/1471-2164-7-61 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004885371
251 https://doi.org/10.1186/1471-2164-7-61
252 rdf:type schema:CreativeWork
253 https://app.dimensions.ai/details/publication/pub.1074544770 schema:CreativeWork
254 https://app.dimensions.ai/details/publication/pub.1075174289 schema:CreativeWork
255 https://app.dimensions.ai/details/publication/pub.1077358874 schema:CreativeWork
256 https://doi.org/10.1002/bies.20194 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010993162
257 rdf:type schema:CreativeWork
258 https://doi.org/10.1016/0147-619x(80)90063-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013550955
259 rdf:type schema:CreativeWork
260 https://doi.org/10.1016/j.ygeno.2008.07.013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050978090
261 rdf:type schema:CreativeWork
262 https://doi.org/10.1016/s0169-5347(00)02097-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026229109
263 rdf:type schema:CreativeWork
264 https://doi.org/10.1016/s0378-1127(01)00637-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050649976
265 rdf:type schema:CreativeWork
266 https://doi.org/10.1016/s1673-8527(07)60062-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013884425
267 rdf:type schema:CreativeWork
268 https://doi.org/10.1043/02-39.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019573794
269 rdf:type schema:CreativeWork
270 https://doi.org/10.1046/j.1365-294x.2000.105316.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1007073883
271 rdf:type schema:CreativeWork
272 https://doi.org/10.1046/j.1365-294x.2002.01643.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1025437171
273 rdf:type schema:CreativeWork
274 https://doi.org/10.1046/j.1365-294x.2003.01890.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1007265624
275 rdf:type schema:CreativeWork
276 https://doi.org/10.1073/pnas.86.11.4132 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021564914
277 rdf:type schema:CreativeWork
278 https://doi.org/10.1080/15427528.2012.664614 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050942877
279 rdf:type schema:CreativeWork
280 https://doi.org/10.1093/bioinformatics/bti282 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040416489
281 rdf:type schema:CreativeWork
282 https://doi.org/10.1093/oxfordjournals.molbev.a040442 schema:sameAs https://app.dimensions.ai/details/publication/pub.1079687904
283 rdf:type schema:CreativeWork
284 https://doi.org/10.1111/j.1365-294x.1996.tb00353.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1007112629
285 rdf:type schema:CreativeWork
286 https://doi.org/10.1111/j.1365-294x.2005.02504.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1035240008
287 rdf:type schema:CreativeWork
288 https://doi.org/10.1111/j.1469-185x.1982.tb00373.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1009371804
289 rdf:type schema:CreativeWork
290 https://doi.org/10.1111/j.1471-8286.2004.00636.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1043615651
291 rdf:type schema:CreativeWork
292 https://doi.org/10.1111/j.1558-5646.2008.00413.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1013548107
293 rdf:type schema:CreativeWork
294 https://doi.org/10.1111/j.1755-0998.2008.02319.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1012074432
295 rdf:type schema:CreativeWork
296 https://doi.org/10.1126/science.285.5433.1562 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062566509
297 rdf:type schema:CreativeWork
298 https://doi.org/10.1139/g02-087 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027780455
299 rdf:type schema:CreativeWork
300 https://doi.org/10.1139/g98-104 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003844252
301 rdf:type schema:CreativeWork
302 https://doi.org/10.1146/annurev.py.10.090172.000345 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040412257
303 rdf:type schema:CreativeWork
304 https://doi.org/10.1155/2011/894598 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025816484
305 rdf:type schema:CreativeWork
306 https://doi.org/10.1266/ggs.81.311 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021128584
307 rdf:type schema:CreativeWork
308 https://doi.org/10.1371/journal.pone.0037128 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050924355
309 rdf:type schema:CreativeWork
310 https://doi.org/10.1371/journal.pone.0057220 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052879512
311 rdf:type schema:CreativeWork
312 https://doi.org/10.1534/g3.111.001552 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047570532
313 rdf:type schema:CreativeWork
314 https://doi.org/10.1534/genetics.107.071969 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034857571
315 rdf:type schema:CreativeWork
316 https://doi.org/10.1590/s1415-47572006000200021 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048323560
317 rdf:type schema:CreativeWork
318 https://doi.org/10.2135/cropsci1978.0011183x001800060005x schema:sameAs https://app.dimensions.ai/details/publication/pub.1069018046
319 rdf:type schema:CreativeWork
320 https://doi.org/10.2135/cropsci2004.0581 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069028574
321 rdf:type schema:CreativeWork
322 https://doi.org/10.2135/cropsci2011.04.0202 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069031509
323 rdf:type schema:CreativeWork
324 https://doi.org/10.3198/jpr2006.09.0587crg schema:sameAs https://app.dimensions.ai/details/publication/pub.1071120350
325 rdf:type schema:CreativeWork
326 https://doi.org/10.3732/ajb.89.4.707 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034396700
327 rdf:type schema:CreativeWork
328 https://doi.org/10.3732/ajb.94.1.42 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006598399
329 rdf:type schema:CreativeWork
330 https://doi.org/10.3732/apps.1400059 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023437763
331 rdf:type schema:CreativeWork
332 https://doi.org/10.4238/vol10-3gmr1277 schema:sameAs https://app.dimensions.ai/details/publication/pub.1072396698
333 rdf:type schema:CreativeWork
334 https://doi.org/10.5772/35384 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000503695
335 rdf:type schema:CreativeWork
336 https://www.grid.ac/institutes/grid.419209.7 schema:alternateName Academy of Sciences Republic of Uzbekistan
337 schema:name Center of Genomics and Bioinformatics, Academy of Sciences of Uzbekistan, 111215, Tashkent, Uzbekistan
338 rdf:type schema:Organization
339 https://www.grid.ac/institutes/grid.463419.d schema:alternateName Agricultural Research Service
340 schema:name Crop Science Research Laboratory, Genetics and Sustainable Agriculture Research Unit, USDA-ARS, 39762, Mississippi State, MS, USA
341 rdf:type schema:Organization
 




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


...