Gene expression in reproductive organs of tsetse females – initial data in an approach to reduce fecundity View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-11

AUTHORS

Emanuel Procházka, Veronika Michalková, Ivana Daubnerová, Ladislav Roller, Peter Klepsatel, Dušan Žitňan, George Tsiamis, Peter Takáč

ABSTRACT

BACKGROUND: Tsetse flies are vectors of African trypanosomes, and their vectorial capacity results in a major public health emergency and vast economic losses in sub-Saharan Africa. Given the limited ability of trypanosome prevention and eradication, tsetse vectors remain major targets of control efforts. Larvae of all three instars are developed in mothers' uteri, nourished through milk, and 'larviposited' shortly before pupation. The past few years have witnessed the emergence of approaches based on knockdown of genes involved in milk production, resulting in a significant reduction of fecundity. RESULTS: In order to identify further genes applicable in the control of tsetse flies, we determined the expression of protein-coding genes in ovaries and uteri from both virgin and heavily pregnant Glossina morsitans morsitans females. Comparison of expression profiles allowed us to identify candidate genes with increased expression in pregnant individuals. Lists with the highest increases include genes involved in oocyte and embryonic development, or nourishment. Maximum ovarian fold change does not exceed 700, while the highest uterine fold change reaches to more than 4000. Relatively high fold changes of two neuropeptide receptors (for corazonin and myosuppressin) propose the corresponding genes alternative targets. CONCLUSIONS: Given the higher fold changes in the uterus, targeting gene expression in this tissue may result in a more evident reduction of fecundity. However, ovaries should not be neglected, as manifested by several genes with top fold changes involved in early developmental stages. Apart from focusing on the highest fold changes, neuropeptide receptors with moderate increases in expression should be also verified as targets, given their roles in mediating the tissue control. However, this data needs to be considered initial, and the potential of these genes in affecting female fecundity needs to be verified experimentally. More... »

PAGES

144

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s12866-018-1294-5

DOI

http://dx.doi.org/10.1186/s12866-018-1294-5

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1110157036

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30470199


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"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Institute of Zoology", 
          "id": "https://www.grid.ac/institutes/grid.425138.9", 
          "name": [
            "Institute of Zoology, Slovak Academy of Sciences, D\u00fabravsk\u00e1 cesta 9, 845 06, Bratislava, Slovakia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Proch\u00e1zka", 
        "givenName": "Emanuel", 
        "id": "sg:person.01025527226.01", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01025527226.01"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institute of Zoology", 
          "id": "https://www.grid.ac/institutes/grid.425138.9", 
          "name": [
            "Institute of Zoology, Slovak Academy of Sciences, D\u00fabravsk\u00e1 cesta 9, 845 06, Bratislava, Slovakia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Michalkov\u00e1", 
        "givenName": "Veronika", 
        "id": "sg:person.01126757431.96", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01126757431.96"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institute of Zoology", 
          "id": "https://www.grid.ac/institutes/grid.425138.9", 
          "name": [
            "Institute of Zoology, Slovak Academy of Sciences, D\u00fabravsk\u00e1 cesta 9, 845 06, Bratislava, Slovakia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Daubnerov\u00e1", 
        "givenName": "Ivana", 
        "id": "sg:person.0613426723.30", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0613426723.30"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institute of Zoology", 
          "id": "https://www.grid.ac/institutes/grid.425138.9", 
          "name": [
            "Institute of Zoology, Slovak Academy of Sciences, D\u00fabravsk\u00e1 cesta 9, 845 06, Bratislava, Slovakia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Roller", 
        "givenName": "Ladislav", 
        "id": "sg:person.01175670153.70", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01175670153.70"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institute of Zoology", 
          "id": "https://www.grid.ac/institutes/grid.425138.9", 
          "name": [
            "Institute of Zoology, Slovak Academy of Sciences, D\u00fabravsk\u00e1 cesta 9, 845 06, Bratislava, Slovakia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Klepsatel", 
        "givenName": "Peter", 
        "id": "sg:person.01050206441.89", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01050206441.89"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institute of Zoology", 
          "id": "https://www.grid.ac/institutes/grid.425138.9", 
          "name": [
            "Institute of Zoology, Slovak Academy of Sciences, D\u00fabravsk\u00e1 cesta 9, 845 06, Bratislava, Slovakia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "\u017dit\u0148an", 
        "givenName": "Du\u0161an", 
        "id": "sg:person.01317437444.52", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01317437444.52"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Patras", 
          "id": "https://www.grid.ac/institutes/grid.11047.33", 
          "name": [
            "Department of Environmental and Natural Resources Management, University of Patras, 2 Georgiou Seferi St, Agrinio, Greece"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tsiamis", 
        "givenName": "George", 
        "id": "sg:person.01316474740.03", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01316474740.03"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Scientica (Slovakia)", 
          "id": "https://www.grid.ac/institutes/grid.455086.a", 
          "name": [
            "Institute of Zoology, Slovak Academy of Sciences, D\u00fabravsk\u00e1 cesta 9, 845 06, Bratislava, Slovakia", 
            "Scientica, Ltd., Hybe\u0161ova 33, 831 06, Bratislava, Slovakia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tak\u00e1\u010d", 
        "givenName": "Peter", 
        "id": "sg:person.0577442443.10", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0577442443.10"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1111/pim.12046", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000714462"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0087554", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004219787"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pntd.0003358", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004569322"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0022-1910(79)90099-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005363766"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0022-1910(79)90099-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005363766"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jinsphys.2008.06.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005501922"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.actatropica.2015.06.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005861392"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.actatropica.2015.06.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005861392"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s0031182016001268", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009240351"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1095/biolreprod.112.100008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010273541"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pntd.0002645", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011139848"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1146/annurev-ento-010814-020834", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014662748"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pgen.1006548", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014933087"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pgen.1003874", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015828804"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1155/2016/6201350", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016752425"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jinsphys.2007.03.013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017585543"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jip.2012.03.028", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019746077"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0305-0491(91)90145-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021368508"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0305-0491(91)90145-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021368508"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/a:1015726217890", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021724182", 
          "https://doi.org/10.1023/a:1015726217890"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-2583.2008.00839.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024029729"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ibmb.2012.01.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024479288"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/346076a0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025020386", 
          "https://doi.org/10.1038/346076a0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-2583.2009.00987.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026092484"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-2583.2009.00987.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026092484"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jip.2012.05.010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027274333"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1098/rsob.160152", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028667695"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1179/2047773213y.0000000105", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028687306"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ydbio.2013.12.013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028793495"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s0031182009006416", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028974922"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s0031182009006416", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028974922"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jip.2012.07.026", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030852065"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0022-1910(00)00043-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031645437"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.mce.2013.02.019", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033195773"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ibmb.2004.08.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033226147"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.parint.2009.10.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035449226"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ygcen.2009.09.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035682349"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.prevetmed.2013.10.024", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038929351"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cub.2014.02.042", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041729436"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jinsphys.2016.09.013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041993324"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s0031182009991806", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042005173"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s0031182009991806", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042005173"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0196-9781(02)00179-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044590022"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0196-9781(02)00179-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044590022"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/(sici)1096-9861(20000522)421:1<136::aid-cne8>3.0.co;2-c", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045840333"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1216689", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045915949"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ibmb.2006.09.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047853419"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-0-387-78225-6_3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051098601", 
          "https://doi.org/10.1007/978-0-387-78225-6_3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0196-9781(01)00670-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052792802"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2164-11-160", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053042186", 
          "https://doi.org/10.1186/1471-2164-11-160"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1534/genetics.109.107367", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053592415"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1534/genetics.109.107367", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053592415"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1216735", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062465844"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1249656", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062469309"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1172/jci21052", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063416584"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1074261890", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1082388301", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cell.2017.07.014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1091142792"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2018-11", 
    "datePublishedReg": "2018-11-01", 
    "description": "BACKGROUND: Tsetse flies are vectors of African trypanosomes, and their vectorial capacity results in a major public health emergency and vast economic losses in sub-Saharan Africa. Given the limited ability of trypanosome prevention and eradication, tsetse vectors remain major targets of control efforts. Larvae of all three instars are developed in mothers' uteri, nourished through milk, and 'larviposited' shortly before pupation. The past few years have witnessed the emergence of approaches based on knockdown of genes involved in milk production, resulting in a significant reduction of fecundity.\nRESULTS: In order to identify further genes applicable in the control of tsetse flies, we determined the expression of protein-coding genes in ovaries and uteri from both virgin and heavily pregnant Glossina morsitans morsitans females. Comparison of expression profiles allowed us to identify candidate genes with increased expression in pregnant individuals. Lists with the highest increases include genes involved in oocyte and embryonic development, or nourishment. Maximum ovarian fold change does not exceed 700, while the highest uterine fold change reaches to more than 4000. Relatively high fold changes of two neuropeptide receptors (for corazonin and myosuppressin) propose the corresponding genes alternative targets.\nCONCLUSIONS: Given the higher fold changes in the uterus, targeting gene expression in this tissue may result in a more evident reduction of fecundity. However, ovaries should not be neglected, as manifested by several genes with top fold changes involved in early developmental stages. Apart from focusing on the highest fold changes, neuropeptide receptors with moderate increases in expression should be also verified as targets, given their roles in mediating the tissue control. However, this data needs to be considered initial, and the potential of these genes in affecting female fecundity needs to be verified experimentally.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/s12866-018-1294-5", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.4360242", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.5521757", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1024253", 
        "issn": [
          "1471-2180"
        ], 
        "name": "BMC Microbiology", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "Suppl 1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "18"
      }
    ], 
    "name": "Gene expression in reproductive organs of tsetse females \u2013 initial data in an approach to reduce fecundity", 
    "pagination": "144", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "60c90d758978a4f9feaa095bba57ab35983d48763d20a6da55e81dc67ec59440"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30470199"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "100966981"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/s12866-018-1294-5"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1110157036"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/s12866-018-1294-5", 
      "https://app.dimensions.ai/details/publication/pub.1110157036"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T13:10", 
    "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/v90/0000000367_0000000367/records_88248_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1186%2Fs12866-018-1294-5"
  }
]
 

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.10.1186/s12866-018-1294-5'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s12866-018-1294-5'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s12866-018-1294-5'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s12866-018-1294-5'


 

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

280 TRIPLES      21 PREDICATES      79 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/s12866-018-1294-5 schema:about anzsrc-for:06
2 anzsrc-for:0604
3 schema:author N7fccb8e12fbc469caea714f8c8d1c21f
4 schema:citation sg:pub.10.1007/978-0-387-78225-6_3
5 sg:pub.10.1023/a:1015726217890
6 sg:pub.10.1038/346076a0
7 sg:pub.10.1186/1471-2164-11-160
8 https://app.dimensions.ai/details/publication/pub.1074261890
9 https://app.dimensions.ai/details/publication/pub.1082388301
10 https://doi.org/10.1002/(sici)1096-9861(20000522)421:1<136::aid-cne8>3.0.co;2-c
11 https://doi.org/10.1016/0022-1910(79)90099-4
12 https://doi.org/10.1016/0305-0491(91)90145-4
13 https://doi.org/10.1016/j.actatropica.2015.06.003
14 https://doi.org/10.1016/j.cell.2017.07.014
15 https://doi.org/10.1016/j.cub.2014.02.042
16 https://doi.org/10.1016/j.ibmb.2004.08.006
17 https://doi.org/10.1016/j.ibmb.2006.09.003
18 https://doi.org/10.1016/j.ibmb.2012.01.007
19 https://doi.org/10.1016/j.jinsphys.2007.03.013
20 https://doi.org/10.1016/j.jinsphys.2008.06.008
21 https://doi.org/10.1016/j.jinsphys.2016.09.013
22 https://doi.org/10.1016/j.jip.2012.03.028
23 https://doi.org/10.1016/j.jip.2012.05.010
24 https://doi.org/10.1016/j.jip.2012.07.026
25 https://doi.org/10.1016/j.mce.2013.02.019
26 https://doi.org/10.1016/j.parint.2009.10.002
27 https://doi.org/10.1016/j.prevetmed.2013.10.024
28 https://doi.org/10.1016/j.ydbio.2013.12.013
29 https://doi.org/10.1016/j.ygcen.2009.09.004
30 https://doi.org/10.1016/s0022-1910(00)00043-3
31 https://doi.org/10.1016/s0196-9781(01)00670-2
32 https://doi.org/10.1016/s0196-9781(02)00179-1
33 https://doi.org/10.1017/s0031182009006416
34 https://doi.org/10.1017/s0031182009991806
35 https://doi.org/10.1017/s0031182016001268
36 https://doi.org/10.1095/biolreprod.112.100008
37 https://doi.org/10.1098/rsob.160152
38 https://doi.org/10.1111/j.1365-2583.2008.00839.x
39 https://doi.org/10.1111/j.1365-2583.2009.00987.x
40 https://doi.org/10.1111/pim.12046
41 https://doi.org/10.1126/science.1216689
42 https://doi.org/10.1126/science.1216735
43 https://doi.org/10.1126/science.1249656
44 https://doi.org/10.1146/annurev-ento-010814-020834
45 https://doi.org/10.1155/2016/6201350
46 https://doi.org/10.1172/jci21052
47 https://doi.org/10.1179/2047773213y.0000000105
48 https://doi.org/10.1371/journal.pgen.1003874
49 https://doi.org/10.1371/journal.pgen.1006548
50 https://doi.org/10.1371/journal.pntd.0002645
51 https://doi.org/10.1371/journal.pntd.0003358
52 https://doi.org/10.1371/journal.pone.0087554
53 https://doi.org/10.1534/genetics.109.107367
54 schema:datePublished 2018-11
55 schema:datePublishedReg 2018-11-01
56 schema:description BACKGROUND: Tsetse flies are vectors of African trypanosomes, and their vectorial capacity results in a major public health emergency and vast economic losses in sub-Saharan Africa. Given the limited ability of trypanosome prevention and eradication, tsetse vectors remain major targets of control efforts. Larvae of all three instars are developed in mothers' uteri, nourished through milk, and 'larviposited' shortly before pupation. The past few years have witnessed the emergence of approaches based on knockdown of genes involved in milk production, resulting in a significant reduction of fecundity. RESULTS: In order to identify further genes applicable in the control of tsetse flies, we determined the expression of protein-coding genes in ovaries and uteri from both virgin and heavily pregnant Glossina morsitans morsitans females. Comparison of expression profiles allowed us to identify candidate genes with increased expression in pregnant individuals. Lists with the highest increases include genes involved in oocyte and embryonic development, or nourishment. Maximum ovarian fold change does not exceed 700, while the highest uterine fold change reaches to more than 4000. Relatively high fold changes of two neuropeptide receptors (for corazonin and myosuppressin) propose the corresponding genes alternative targets. CONCLUSIONS: Given the higher fold changes in the uterus, targeting gene expression in this tissue may result in a more evident reduction of fecundity. However, ovaries should not be neglected, as manifested by several genes with top fold changes involved in early developmental stages. Apart from focusing on the highest fold changes, neuropeptide receptors with moderate increases in expression should be also verified as targets, given their roles in mediating the tissue control. However, this data needs to be considered initial, and the potential of these genes in affecting female fecundity needs to be verified experimentally.
57 schema:genre research_article
58 schema:inLanguage en
59 schema:isAccessibleForFree true
60 schema:isPartOf N26991db62a42403dae77c021a3a49212
61 Nf155e41ed15845a68555ce3bad9f2046
62 sg:journal.1024253
63 schema:name Gene expression in reproductive organs of tsetse females – initial data in an approach to reduce fecundity
64 schema:pagination 144
65 schema:productId N0e1a333742df4570b16dbc1c48e5e775
66 N230a3e40d49a4380aa6324d1c0b529a0
67 N4af660b438104ac09bf287d5b6c89ab8
68 N7211419362b948388613e8ee0c512e54
69 Ndf89451193c842fb9cd0fc5020c1e1ba
70 schema:sameAs https://app.dimensions.ai/details/publication/pub.1110157036
71 https://doi.org/10.1186/s12866-018-1294-5
72 schema:sdDatePublished 2019-04-11T13:10
73 schema:sdLicense https://scigraph.springernature.com/explorer/license/
74 schema:sdPublisher Nb196c313c0e646a8b3b1b76823f4c284
75 schema:url https://link.springer.com/10.1186%2Fs12866-018-1294-5
76 sgo:license sg:explorer/license/
77 sgo:sdDataset articles
78 rdf:type schema:ScholarlyArticle
79 N0e1a333742df4570b16dbc1c48e5e775 schema:name dimensions_id
80 schema:value pub.1110157036
81 rdf:type schema:PropertyValue
82 N14626e1ef40346f8a1d90c2c674099f7 rdf:first sg:person.01126757431.96
83 rdf:rest Nab7777f794d3481b97840d38b136ad65
84 N230a3e40d49a4380aa6324d1c0b529a0 schema:name pubmed_id
85 schema:value 30470199
86 rdf:type schema:PropertyValue
87 N26991db62a42403dae77c021a3a49212 schema:issueNumber Suppl 1
88 rdf:type schema:PublicationIssue
89 N38c70efa869c4ac1800db925fbbac41f rdf:first sg:person.01316474740.03
90 rdf:rest Nad0940d198b244f1b94ba0278e970631
91 N4af660b438104ac09bf287d5b6c89ab8 schema:name nlm_unique_id
92 schema:value 100966981
93 rdf:type schema:PropertyValue
94 N7211419362b948388613e8ee0c512e54 schema:name doi
95 schema:value 10.1186/s12866-018-1294-5
96 rdf:type schema:PropertyValue
97 N7fccb8e12fbc469caea714f8c8d1c21f rdf:first sg:person.01025527226.01
98 rdf:rest N14626e1ef40346f8a1d90c2c674099f7
99 N8bf0cdc845c14c4a93df35001756a153 rdf:first sg:person.01317437444.52
100 rdf:rest N38c70efa869c4ac1800db925fbbac41f
101 N8f3493680a3743a8b6d410ba8171ee17 rdf:first sg:person.01175670153.70
102 rdf:rest Nd50b4efa7be249bc81a66f602b329901
103 Nab7777f794d3481b97840d38b136ad65 rdf:first sg:person.0613426723.30
104 rdf:rest N8f3493680a3743a8b6d410ba8171ee17
105 Nad0940d198b244f1b94ba0278e970631 rdf:first sg:person.0577442443.10
106 rdf:rest rdf:nil
107 Nb196c313c0e646a8b3b1b76823f4c284 schema:name Springer Nature - SN SciGraph project
108 rdf:type schema:Organization
109 Nd50b4efa7be249bc81a66f602b329901 rdf:first sg:person.01050206441.89
110 rdf:rest N8bf0cdc845c14c4a93df35001756a153
111 Ndf89451193c842fb9cd0fc5020c1e1ba schema:name readcube_id
112 schema:value 60c90d758978a4f9feaa095bba57ab35983d48763d20a6da55e81dc67ec59440
113 rdf:type schema:PropertyValue
114 Nf155e41ed15845a68555ce3bad9f2046 schema:volumeNumber 18
115 rdf:type schema:PublicationVolume
116 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
117 schema:name Biological Sciences
118 rdf:type schema:DefinedTerm
119 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
120 schema:name Genetics
121 rdf:type schema:DefinedTerm
122 sg:grant.4360242 http://pending.schema.org/fundedItem sg:pub.10.1186/s12866-018-1294-5
123 rdf:type schema:MonetaryGrant
124 sg:grant.5521757 http://pending.schema.org/fundedItem sg:pub.10.1186/s12866-018-1294-5
125 rdf:type schema:MonetaryGrant
126 sg:journal.1024253 schema:issn 1471-2180
127 schema:name BMC Microbiology
128 rdf:type schema:Periodical
129 sg:person.01025527226.01 schema:affiliation https://www.grid.ac/institutes/grid.425138.9
130 schema:familyName Procházka
131 schema:givenName Emanuel
132 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01025527226.01
133 rdf:type schema:Person
134 sg:person.01050206441.89 schema:affiliation https://www.grid.ac/institutes/grid.425138.9
135 schema:familyName Klepsatel
136 schema:givenName Peter
137 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01050206441.89
138 rdf:type schema:Person
139 sg:person.01126757431.96 schema:affiliation https://www.grid.ac/institutes/grid.425138.9
140 schema:familyName Michalková
141 schema:givenName Veronika
142 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01126757431.96
143 rdf:type schema:Person
144 sg:person.01175670153.70 schema:affiliation https://www.grid.ac/institutes/grid.425138.9
145 schema:familyName Roller
146 schema:givenName Ladislav
147 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01175670153.70
148 rdf:type schema:Person
149 sg:person.01316474740.03 schema:affiliation https://www.grid.ac/institutes/grid.11047.33
150 schema:familyName Tsiamis
151 schema:givenName George
152 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01316474740.03
153 rdf:type schema:Person
154 sg:person.01317437444.52 schema:affiliation https://www.grid.ac/institutes/grid.425138.9
155 schema:familyName Žitňan
156 schema:givenName Dušan
157 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01317437444.52
158 rdf:type schema:Person
159 sg:person.0577442443.10 schema:affiliation https://www.grid.ac/institutes/grid.455086.a
160 schema:familyName Takáč
161 schema:givenName Peter
162 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0577442443.10
163 rdf:type schema:Person
164 sg:person.0613426723.30 schema:affiliation https://www.grid.ac/institutes/grid.425138.9
165 schema:familyName Daubnerová
166 schema:givenName Ivana
167 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0613426723.30
168 rdf:type schema:Person
169 sg:pub.10.1007/978-0-387-78225-6_3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051098601
170 https://doi.org/10.1007/978-0-387-78225-6_3
171 rdf:type schema:CreativeWork
172 sg:pub.10.1023/a:1015726217890 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021724182
173 https://doi.org/10.1023/a:1015726217890
174 rdf:type schema:CreativeWork
175 sg:pub.10.1038/346076a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025020386
176 https://doi.org/10.1038/346076a0
177 rdf:type schema:CreativeWork
178 sg:pub.10.1186/1471-2164-11-160 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053042186
179 https://doi.org/10.1186/1471-2164-11-160
180 rdf:type schema:CreativeWork
181 https://app.dimensions.ai/details/publication/pub.1074261890 schema:CreativeWork
182 https://app.dimensions.ai/details/publication/pub.1082388301 schema:CreativeWork
183 https://doi.org/10.1002/(sici)1096-9861(20000522)421:1<136::aid-cne8>3.0.co;2-c schema:sameAs https://app.dimensions.ai/details/publication/pub.1045840333
184 rdf:type schema:CreativeWork
185 https://doi.org/10.1016/0022-1910(79)90099-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005363766
186 rdf:type schema:CreativeWork
187 https://doi.org/10.1016/0305-0491(91)90145-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021368508
188 rdf:type schema:CreativeWork
189 https://doi.org/10.1016/j.actatropica.2015.06.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005861392
190 rdf:type schema:CreativeWork
191 https://doi.org/10.1016/j.cell.2017.07.014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091142792
192 rdf:type schema:CreativeWork
193 https://doi.org/10.1016/j.cub.2014.02.042 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041729436
194 rdf:type schema:CreativeWork
195 https://doi.org/10.1016/j.ibmb.2004.08.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033226147
196 rdf:type schema:CreativeWork
197 https://doi.org/10.1016/j.ibmb.2006.09.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047853419
198 rdf:type schema:CreativeWork
199 https://doi.org/10.1016/j.ibmb.2012.01.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024479288
200 rdf:type schema:CreativeWork
201 https://doi.org/10.1016/j.jinsphys.2007.03.013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017585543
202 rdf:type schema:CreativeWork
203 https://doi.org/10.1016/j.jinsphys.2008.06.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005501922
204 rdf:type schema:CreativeWork
205 https://doi.org/10.1016/j.jinsphys.2016.09.013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041993324
206 rdf:type schema:CreativeWork
207 https://doi.org/10.1016/j.jip.2012.03.028 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019746077
208 rdf:type schema:CreativeWork
209 https://doi.org/10.1016/j.jip.2012.05.010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027274333
210 rdf:type schema:CreativeWork
211 https://doi.org/10.1016/j.jip.2012.07.026 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030852065
212 rdf:type schema:CreativeWork
213 https://doi.org/10.1016/j.mce.2013.02.019 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033195773
214 rdf:type schema:CreativeWork
215 https://doi.org/10.1016/j.parint.2009.10.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035449226
216 rdf:type schema:CreativeWork
217 https://doi.org/10.1016/j.prevetmed.2013.10.024 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038929351
218 rdf:type schema:CreativeWork
219 https://doi.org/10.1016/j.ydbio.2013.12.013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028793495
220 rdf:type schema:CreativeWork
221 https://doi.org/10.1016/j.ygcen.2009.09.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035682349
222 rdf:type schema:CreativeWork
223 https://doi.org/10.1016/s0022-1910(00)00043-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031645437
224 rdf:type schema:CreativeWork
225 https://doi.org/10.1016/s0196-9781(01)00670-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052792802
226 rdf:type schema:CreativeWork
227 https://doi.org/10.1016/s0196-9781(02)00179-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044590022
228 rdf:type schema:CreativeWork
229 https://doi.org/10.1017/s0031182009006416 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028974922
230 rdf:type schema:CreativeWork
231 https://doi.org/10.1017/s0031182009991806 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042005173
232 rdf:type schema:CreativeWork
233 https://doi.org/10.1017/s0031182016001268 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009240351
234 rdf:type schema:CreativeWork
235 https://doi.org/10.1095/biolreprod.112.100008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010273541
236 rdf:type schema:CreativeWork
237 https://doi.org/10.1098/rsob.160152 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028667695
238 rdf:type schema:CreativeWork
239 https://doi.org/10.1111/j.1365-2583.2008.00839.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1024029729
240 rdf:type schema:CreativeWork
241 https://doi.org/10.1111/j.1365-2583.2009.00987.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1026092484
242 rdf:type schema:CreativeWork
243 https://doi.org/10.1111/pim.12046 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000714462
244 rdf:type schema:CreativeWork
245 https://doi.org/10.1126/science.1216689 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045915949
246 rdf:type schema:CreativeWork
247 https://doi.org/10.1126/science.1216735 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062465844
248 rdf:type schema:CreativeWork
249 https://doi.org/10.1126/science.1249656 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062469309
250 rdf:type schema:CreativeWork
251 https://doi.org/10.1146/annurev-ento-010814-020834 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014662748
252 rdf:type schema:CreativeWork
253 https://doi.org/10.1155/2016/6201350 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016752425
254 rdf:type schema:CreativeWork
255 https://doi.org/10.1172/jci21052 schema:sameAs https://app.dimensions.ai/details/publication/pub.1063416584
256 rdf:type schema:CreativeWork
257 https://doi.org/10.1179/2047773213y.0000000105 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028687306
258 rdf:type schema:CreativeWork
259 https://doi.org/10.1371/journal.pgen.1003874 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015828804
260 rdf:type schema:CreativeWork
261 https://doi.org/10.1371/journal.pgen.1006548 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014933087
262 rdf:type schema:CreativeWork
263 https://doi.org/10.1371/journal.pntd.0002645 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011139848
264 rdf:type schema:CreativeWork
265 https://doi.org/10.1371/journal.pntd.0003358 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004569322
266 rdf:type schema:CreativeWork
267 https://doi.org/10.1371/journal.pone.0087554 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004219787
268 rdf:type schema:CreativeWork
269 https://doi.org/10.1534/genetics.109.107367 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053592415
270 rdf:type schema:CreativeWork
271 https://www.grid.ac/institutes/grid.11047.33 schema:alternateName University of Patras
272 schema:name Department of Environmental and Natural Resources Management, University of Patras, 2 Georgiou Seferi St, Agrinio, Greece
273 rdf:type schema:Organization
274 https://www.grid.ac/institutes/grid.425138.9 schema:alternateName Institute of Zoology
275 schema:name Institute of Zoology, Slovak Academy of Sciences, Dúbravská cesta 9, 845 06, Bratislava, Slovakia
276 rdf:type schema:Organization
277 https://www.grid.ac/institutes/grid.455086.a schema:alternateName Scientica (Slovakia)
278 schema:name Institute of Zoology, Slovak Academy of Sciences, Dúbravská cesta 9, 845 06, Bratislava, Slovakia
279 Scientica, Ltd., Hybešova 33, 831 06, Bratislava, Slovakia
280 rdf:type schema:Organization
 




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


...