Population-specific variations of the genetic architecture of sex determination in wild European sea bass Dicentrarchus labrax L. View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-05

AUTHORS

Sara Faggion, Marc Vandeputte, Béatrice Chatain, Pierre-Alexandre Gagnaire, François Allal

ABSTRACT

Polygenic sex determination (PSD) may show variations in terms of genetic and environmental components between populations of fish species exposed/adapted to different environments. The European sea bass (Dicentrarchus labrax) is an interesting model, combining both a PSD system and a genetic subdivision into an Atlantic and a Mediterranean lineage, with genetic substructures within the Mediterranean Sea. Here, we produced experimental progeny crosses (N = 927) from broodstock sampled in four wild populations (North Atlantic, NAT; Western Mediterranean, WEM; North-Eastern Mediterranean, NEM; South-Eastern Mediterranean, SEM). We found less females than males in the progeny, both in the global dataset (32.5%) and within each paternal group (from 25.1% for NEM to 39.0% for WEM), with significant variation among populations, dams, and sires. Sex, body weight (BW), and body length (BL) showed moderate heritability (0.52 ± 0.17, 0.46 ± 0.17, 0.34 ± 0.15, respectively) and sex was genetically correlated with BW and BL, with rAsex/BW = 0.69 ± 0.12 and rA sex/BL = 0.66 ± 0.13. A weighted GWAS performed both on the global dataset and within each paternal group revealed a different genetic architecture of sex determination between Atlantic and Mediterranean populations (9 QTLs found in NAT, 7 in WEM, 5 in NEM, and 4 in SEM, with a cumulated variance explained of 27.04%, 21.87%, 15.89%, and 12.10%, respectively) and a more similar genetic architecture among geographically close populations compared to geographically distant populations, consistent with the hypothesis of a population-specific evolution of polygenic sex determination systems in different environments. More... »

PAGES

1-10

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/s41437-018-0157-z

DOI

http://dx.doi.org/10.1038/s41437-018-0157-z

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1107797349

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30356226


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": "University of Padua", 
          "id": "https://www.grid.ac/institutes/grid.5608.b", 
          "name": [
            "Department of Comparative Biomedicine and Food Science, University of Padua, Agripolis, Viale dell\u2019Universit\u00e0, 16, 35020, Legnaro, PD, Italy", 
            "MARBEC, Univ. Montpellier, Ifremer, CNRS, IRD, Palavas-les-Flots, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Faggion", 
        "givenName": "Sara", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Centre de Recherches de Jouy-en-Josas", 
          "id": "https://www.grid.ac/institutes/grid.417961.c", 
          "name": [
            "MARBEC, Univ. Montpellier, Ifremer, CNRS, IRD, Palavas-les-Flots, France", 
            "GABI, INRA, AgroParisTech, Universit\u00e9 Paris-Saclay, Jouy-en-Josas, 78350, Paris, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Vandeputte", 
        "givenName": "Marc", 
        "id": "sg:person.01264762163.81", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01264762163.81"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "MARBEC, Univ. Montpellier, Ifremer, CNRS, IRD, Palavas-les-Flots, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chatain", 
        "givenName": "B\u00e9atrice", 
        "id": "sg:person.01015055541.23", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01015055541.23"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institut des Sciences de l'Evolution de Montpellier", 
          "id": "https://www.grid.ac/institutes/grid.462058.d", 
          "name": [
            "ISEM, Univ. Montpellier, CNRS, IRD, EPHE, Montpellier, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gagnaire", 
        "givenName": "Pierre-Alexandre", 
        "id": "sg:person.0577461726.76", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0577461726.76"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "MARBEC, Univ. Montpellier, Ifremer, CNRS, IRD, Palavas-les-Flots, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Allal", 
        "givenName": "Fran\u00e7ois", 
        "id": "sg:person.0673051775.00", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0673051775.00"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1534/genetics.114.169284", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003769193"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1534/genetics.114.169284", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003769193"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ygcen.2005.02.011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004097486"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1471-8286.2005.01167.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008094772"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1471-8286.2005.01167.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008094772"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0044-8486(01)00786-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010727569"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.aquaculture.2006.02.014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012783114"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1534/genetics.114.161158", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013987449"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1534/genetics.114.161158", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013987449"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2105-12-186", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014566053", 
          "https://doi.org/10.1186/1471-2105-12-186"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1098/rspb.2000.1092", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017628713"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1086/519795", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019061180"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3389/fgene.2016.00151", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020782811"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.aquaculture.2014.01.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020942534"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/ece3.406", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023117848"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s0016672312000274", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023507834"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0044-8486(02)00539-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025625152"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/326496a0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026686986", 
          "https://doi.org/10.1038/326496a0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/326496a0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026686986", 
          "https://doi.org/10.1038/326496a0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1095-8312.2006.00558.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028452644"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1095-8312.2006.00558.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028452644"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0011-2240(02)00026-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030756702"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0011-2240(02)00026-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030756702"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0034397", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032356112"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cub.2013.04.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035126162"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0990-7440(99)80004-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042850618"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-2109.2004.01181.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043763727"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0012648", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044426400"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/11250007809440264", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044831903"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/jhered/90.6.591", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045093525"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1420-9101.2004.00828.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045984670"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ncomms6770", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047790222", 
          "https://doi.org/10.1038/ncomms6770"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12711-015-0148-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052209652", 
          "https://doi.org/10.1186/s12711-015-0148-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.0014-3820.2003.tb01511.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052699446"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1534/genetics.107.072140", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053200902"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1534/genetics.107.072140", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053200902"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1051/alr/2012002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056944590"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2527/jas.2014-8836", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1070889938"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2527/jas.2014-8836", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1070889938"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1077357309", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3168/jds.2007-0980", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1077799697"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/jeb.13054", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083751743"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/ece3.2832", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084011297"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.aquaculture.2017.05.011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085456750"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1558-5646.1982.tb05005.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085866376"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/s41467-018-04963-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1105071550", 
          "https://doi.org/10.1038/s41467-018-04963-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/9781119127291.ch14", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1107987240"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-05", 
    "datePublishedReg": "2019-05-01", 
    "description": "Polygenic sex determination (PSD) may show variations in terms of genetic and environmental components between populations of fish species exposed/adapted to different environments. The European sea bass (Dicentrarchus labrax) is an interesting model, combining both a PSD system and a genetic subdivision into an Atlantic and a Mediterranean lineage, with genetic substructures within the Mediterranean Sea. Here, we produced experimental progeny crosses (N\u2009=\u2009927) from broodstock sampled in four wild populations (North Atlantic, NAT; Western Mediterranean, WEM; North-Eastern Mediterranean, NEM; South-Eastern Mediterranean, SEM). We found less females than males in the progeny, both in the global dataset (32.5%) and within each paternal group (from 25.1% for NEM to 39.0% for WEM), with significant variation among populations, dams, and sires. Sex, body weight (BW), and body length (BL) showed moderate heritability (0.52\u2009\u00b1\u20090.17, 0.46\u2009\u00b1\u20090.17, 0.34\u2009\u00b1\u20090.15, respectively) and sex was genetically correlated with BW and BL, with rAsex/BW\u2009=\u20090.69\u2009\u00b1\u20090.12 and rA sex/BL\u2009=\u20090.66\u2009\u00b1\u20090.13. A weighted GWAS performed both on the global dataset and within each paternal group revealed a different genetic architecture of sex determination between Atlantic and Mediterranean populations (9 QTLs found in NAT, 7 in WEM, 5 in NEM, and 4 in SEM, with a cumulated variance explained of 27.04%, 21.87%, 15.89%, and 12.10%, respectively) and a more similar genetic architecture among geographically close populations compared to geographically distant populations, consistent with the hypothesis of a population-specific evolution of polygenic sex determination systems in different environments.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1038/s41437-018-0157-z", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1017442", 
        "issn": [
          "0018-067X", 
          "1365-2540"
        ], 
        "name": "Heredity", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "5", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "122"
      }
    ], 
    "name": "Population-specific variations of the genetic architecture of sex determination in wild European sea bass Dicentrarchus labrax L.", 
    "pagination": "1-10", 
    "productId": [
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/s41437-018-0157-z"
        ]
      }, 
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "2aead9530c0ea6162dc56dea1db5f1b099d9565dc9638cd5918bb05cc75bb997"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1107797349"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "0373007"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30356226"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/s41437-018-0157-z", 
      "https://app.dimensions.ai/details/publication/pub.1107797349"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-15T09:10", 
    "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/v90/0000000376_0000000376/records_56155_00000005.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://www.nature.com/articles/s41437-018-0157-z"
  }
]
 

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.10.1038/s41437-018-0157-z'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/s41437-018-0157-z'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41437-018-0157-z'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41437-018-0157-z'


 

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

229 TRIPLES      21 PREDICATES      68 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/s41437-018-0157-z schema:about anzsrc-for:06
2 anzsrc-for:0604
3 schema:author N997c3832e3354cce84840cdb446376ed
4 schema:citation sg:pub.10.1038/326496a0
5 sg:pub.10.1038/ncomms6770
6 sg:pub.10.1038/s41467-018-04963-6
7 sg:pub.10.1186/1471-2105-12-186
8 sg:pub.10.1186/s12711-015-0148-y
9 https://app.dimensions.ai/details/publication/pub.1077357309
10 https://doi.org/10.1002/9781119127291.ch14
11 https://doi.org/10.1002/ece3.2832
12 https://doi.org/10.1002/ece3.406
13 https://doi.org/10.1016/j.aquaculture.2006.02.014
14 https://doi.org/10.1016/j.aquaculture.2014.01.005
15 https://doi.org/10.1016/j.aquaculture.2017.05.011
16 https://doi.org/10.1016/j.cub.2013.04.004
17 https://doi.org/10.1016/j.ygcen.2005.02.011
18 https://doi.org/10.1016/s0011-2240(02)00026-3
19 https://doi.org/10.1016/s0044-8486(01)00786-4
20 https://doi.org/10.1016/s0044-8486(02)00539-2
21 https://doi.org/10.1016/s0990-7440(99)80004-7
22 https://doi.org/10.1017/s0016672312000274
23 https://doi.org/10.1051/alr/2012002
24 https://doi.org/10.1080/11250007809440264
25 https://doi.org/10.1086/519795
26 https://doi.org/10.1093/jhered/90.6.591
27 https://doi.org/10.1098/rspb.2000.1092
28 https://doi.org/10.1111/j.0014-3820.2003.tb01511.x
29 https://doi.org/10.1111/j.1095-8312.2006.00558.x
30 https://doi.org/10.1111/j.1365-2109.2004.01181.x
31 https://doi.org/10.1111/j.1420-9101.2004.00828.x
32 https://doi.org/10.1111/j.1471-8286.2005.01167.x
33 https://doi.org/10.1111/j.1558-5646.1982.tb05005.x
34 https://doi.org/10.1111/jeb.13054
35 https://doi.org/10.1371/journal.pone.0012648
36 https://doi.org/10.1371/journal.pone.0034397
37 https://doi.org/10.1534/genetics.107.072140
38 https://doi.org/10.1534/genetics.114.161158
39 https://doi.org/10.1534/genetics.114.169284
40 https://doi.org/10.2527/jas.2014-8836
41 https://doi.org/10.3168/jds.2007-0980
42 https://doi.org/10.3389/fgene.2016.00151
43 schema:datePublished 2019-05
44 schema:datePublishedReg 2019-05-01
45 schema:description Polygenic sex determination (PSD) may show variations in terms of genetic and environmental components between populations of fish species exposed/adapted to different environments. The European sea bass (Dicentrarchus labrax) is an interesting model, combining both a PSD system and a genetic subdivision into an Atlantic and a Mediterranean lineage, with genetic substructures within the Mediterranean Sea. Here, we produced experimental progeny crosses (N = 927) from broodstock sampled in four wild populations (North Atlantic, NAT; Western Mediterranean, WEM; North-Eastern Mediterranean, NEM; South-Eastern Mediterranean, SEM). We found less females than males in the progeny, both in the global dataset (32.5%) and within each paternal group (from 25.1% for NEM to 39.0% for WEM), with significant variation among populations, dams, and sires. Sex, body weight (BW), and body length (BL) showed moderate heritability (0.52 ± 0.17, 0.46 ± 0.17, 0.34 ± 0.15, respectively) and sex was genetically correlated with BW and BL, with r<sub>Asex/BW</sub> = 0.69 ± 0.12 and r<sub>A sex/BL</sub> = 0.66 ± 0.13. A weighted GWAS performed both on the global dataset and within each paternal group revealed a different genetic architecture of sex determination between Atlantic and Mediterranean populations (9 QTLs found in NAT, 7 in WEM, 5 in NEM, and 4 in SEM, with a cumulated variance explained of 27.04%, 21.87%, 15.89%, and 12.10%, respectively) and a more similar genetic architecture among geographically close populations compared to geographically distant populations, consistent with the hypothesis of a population-specific evolution of polygenic sex determination systems in different environments.
46 schema:genre research_article
47 schema:inLanguage en
48 schema:isAccessibleForFree false
49 schema:isPartOf N8e201357efa540b780d08ade9963f375
50 N99396c4fd96e4f8e81c5891eb5c97ae3
51 sg:journal.1017442
52 schema:name Population-specific variations of the genetic architecture of sex determination in wild European sea bass Dicentrarchus labrax L.
53 schema:pagination 1-10
54 schema:productId N00779fdfe7cc457f8057c0b69effe85e
55 N62eb917d24d8496abcae73962b0f27b8
56 N7857ee8c2d7245539a732b26139700ff
57 N89c2afb1d664462b8a192716df926f93
58 Nefb42db8f56f4e76be0970af7d43ad50
59 schema:sameAs https://app.dimensions.ai/details/publication/pub.1107797349
60 https://doi.org/10.1038/s41437-018-0157-z
61 schema:sdDatePublished 2019-04-15T09:10
62 schema:sdLicense https://scigraph.springernature.com/explorer/license/
63 schema:sdPublisher N6a81af283cbe441d8f7c5cc1038c1f8b
64 schema:url https://www.nature.com/articles/s41437-018-0157-z
65 sgo:license sg:explorer/license/
66 sgo:sdDataset articles
67 rdf:type schema:ScholarlyArticle
68 N00779fdfe7cc457f8057c0b69effe85e schema:name doi
69 schema:value 10.1038/s41437-018-0157-z
70 rdf:type schema:PropertyValue
71 N43bff97cefd74307b63dc9c14584f2ef schema:affiliation https://www.grid.ac/institutes/grid.5608.b
72 schema:familyName Faggion
73 schema:givenName Sara
74 rdf:type schema:Person
75 N532c85c914f14796aac0766e871c95b8 rdf:first sg:person.0577461726.76
76 rdf:rest N9fe6a0c6285643bbb012eb199fdc347e
77 N62eb917d24d8496abcae73962b0f27b8 schema:name readcube_id
78 schema:value 2aead9530c0ea6162dc56dea1db5f1b099d9565dc9638cd5918bb05cc75bb997
79 rdf:type schema:PropertyValue
80 N68b195ba43ab4d5691073fe0ef3d95a3 rdf:first sg:person.01015055541.23
81 rdf:rest N532c85c914f14796aac0766e871c95b8
82 N6a81af283cbe441d8f7c5cc1038c1f8b schema:name Springer Nature - SN SciGraph project
83 rdf:type schema:Organization
84 N6bbcbaed67c744efacf1aa9a68dcc8e5 schema:name MARBEC, Univ. Montpellier, Ifremer, CNRS, IRD, Palavas-les-Flots, France
85 rdf:type schema:Organization
86 N7857ee8c2d7245539a732b26139700ff schema:name nlm_unique_id
87 schema:value 0373007
88 rdf:type schema:PropertyValue
89 N89c2afb1d664462b8a192716df926f93 schema:name dimensions_id
90 schema:value pub.1107797349
91 rdf:type schema:PropertyValue
92 N8e201357efa540b780d08ade9963f375 schema:issueNumber 5
93 rdf:type schema:PublicationIssue
94 N99396c4fd96e4f8e81c5891eb5c97ae3 schema:volumeNumber 122
95 rdf:type schema:PublicationVolume
96 N997c3832e3354cce84840cdb446376ed rdf:first N43bff97cefd74307b63dc9c14584f2ef
97 rdf:rest Ne42ce502e9a64a7483ef179d336e0ed7
98 N9fe6a0c6285643bbb012eb199fdc347e rdf:first sg:person.0673051775.00
99 rdf:rest rdf:nil
100 Nde698e5fb10e4ab48310c0d1e7af6df5 schema:name MARBEC, Univ. Montpellier, Ifremer, CNRS, IRD, Palavas-les-Flots, France
101 rdf:type schema:Organization
102 Ne42ce502e9a64a7483ef179d336e0ed7 rdf:first sg:person.01264762163.81
103 rdf:rest N68b195ba43ab4d5691073fe0ef3d95a3
104 Nefb42db8f56f4e76be0970af7d43ad50 schema:name pubmed_id
105 schema:value 30356226
106 rdf:type schema:PropertyValue
107 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
108 schema:name Biological Sciences
109 rdf:type schema:DefinedTerm
110 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
111 schema:name Genetics
112 rdf:type schema:DefinedTerm
113 sg:journal.1017442 schema:issn 0018-067X
114 1365-2540
115 schema:name Heredity
116 rdf:type schema:Periodical
117 sg:person.01015055541.23 schema:affiliation N6bbcbaed67c744efacf1aa9a68dcc8e5
118 schema:familyName Chatain
119 schema:givenName Béatrice
120 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01015055541.23
121 rdf:type schema:Person
122 sg:person.01264762163.81 schema:affiliation https://www.grid.ac/institutes/grid.417961.c
123 schema:familyName Vandeputte
124 schema:givenName Marc
125 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01264762163.81
126 rdf:type schema:Person
127 sg:person.0577461726.76 schema:affiliation https://www.grid.ac/institutes/grid.462058.d
128 schema:familyName Gagnaire
129 schema:givenName Pierre-Alexandre
130 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0577461726.76
131 rdf:type schema:Person
132 sg:person.0673051775.00 schema:affiliation Nde698e5fb10e4ab48310c0d1e7af6df5
133 schema:familyName Allal
134 schema:givenName François
135 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0673051775.00
136 rdf:type schema:Person
137 sg:pub.10.1038/326496a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026686986
138 https://doi.org/10.1038/326496a0
139 rdf:type schema:CreativeWork
140 sg:pub.10.1038/ncomms6770 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047790222
141 https://doi.org/10.1038/ncomms6770
142 rdf:type schema:CreativeWork
143 sg:pub.10.1038/s41467-018-04963-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1105071550
144 https://doi.org/10.1038/s41467-018-04963-6
145 rdf:type schema:CreativeWork
146 sg:pub.10.1186/1471-2105-12-186 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014566053
147 https://doi.org/10.1186/1471-2105-12-186
148 rdf:type schema:CreativeWork
149 sg:pub.10.1186/s12711-015-0148-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1052209652
150 https://doi.org/10.1186/s12711-015-0148-y
151 rdf:type schema:CreativeWork
152 https://app.dimensions.ai/details/publication/pub.1077357309 schema:CreativeWork
153 https://doi.org/10.1002/9781119127291.ch14 schema:sameAs https://app.dimensions.ai/details/publication/pub.1107987240
154 rdf:type schema:CreativeWork
155 https://doi.org/10.1002/ece3.2832 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084011297
156 rdf:type schema:CreativeWork
157 https://doi.org/10.1002/ece3.406 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023117848
158 rdf:type schema:CreativeWork
159 https://doi.org/10.1016/j.aquaculture.2006.02.014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012783114
160 rdf:type schema:CreativeWork
161 https://doi.org/10.1016/j.aquaculture.2014.01.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020942534
162 rdf:type schema:CreativeWork
163 https://doi.org/10.1016/j.aquaculture.2017.05.011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085456750
164 rdf:type schema:CreativeWork
165 https://doi.org/10.1016/j.cub.2013.04.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035126162
166 rdf:type schema:CreativeWork
167 https://doi.org/10.1016/j.ygcen.2005.02.011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004097486
168 rdf:type schema:CreativeWork
169 https://doi.org/10.1016/s0011-2240(02)00026-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030756702
170 rdf:type schema:CreativeWork
171 https://doi.org/10.1016/s0044-8486(01)00786-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010727569
172 rdf:type schema:CreativeWork
173 https://doi.org/10.1016/s0044-8486(02)00539-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025625152
174 rdf:type schema:CreativeWork
175 https://doi.org/10.1016/s0990-7440(99)80004-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042850618
176 rdf:type schema:CreativeWork
177 https://doi.org/10.1017/s0016672312000274 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023507834
178 rdf:type schema:CreativeWork
179 https://doi.org/10.1051/alr/2012002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1056944590
180 rdf:type schema:CreativeWork
181 https://doi.org/10.1080/11250007809440264 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044831903
182 rdf:type schema:CreativeWork
183 https://doi.org/10.1086/519795 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019061180
184 rdf:type schema:CreativeWork
185 https://doi.org/10.1093/jhered/90.6.591 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045093525
186 rdf:type schema:CreativeWork
187 https://doi.org/10.1098/rspb.2000.1092 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017628713
188 rdf:type schema:CreativeWork
189 https://doi.org/10.1111/j.0014-3820.2003.tb01511.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1052699446
190 rdf:type schema:CreativeWork
191 https://doi.org/10.1111/j.1095-8312.2006.00558.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1028452644
192 rdf:type schema:CreativeWork
193 https://doi.org/10.1111/j.1365-2109.2004.01181.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1043763727
194 rdf:type schema:CreativeWork
195 https://doi.org/10.1111/j.1420-9101.2004.00828.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1045984670
196 rdf:type schema:CreativeWork
197 https://doi.org/10.1111/j.1471-8286.2005.01167.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1008094772
198 rdf:type schema:CreativeWork
199 https://doi.org/10.1111/j.1558-5646.1982.tb05005.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1085866376
200 rdf:type schema:CreativeWork
201 https://doi.org/10.1111/jeb.13054 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083751743
202 rdf:type schema:CreativeWork
203 https://doi.org/10.1371/journal.pone.0012648 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044426400
204 rdf:type schema:CreativeWork
205 https://doi.org/10.1371/journal.pone.0034397 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032356112
206 rdf:type schema:CreativeWork
207 https://doi.org/10.1534/genetics.107.072140 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053200902
208 rdf:type schema:CreativeWork
209 https://doi.org/10.1534/genetics.114.161158 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013987449
210 rdf:type schema:CreativeWork
211 https://doi.org/10.1534/genetics.114.169284 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003769193
212 rdf:type schema:CreativeWork
213 https://doi.org/10.2527/jas.2014-8836 schema:sameAs https://app.dimensions.ai/details/publication/pub.1070889938
214 rdf:type schema:CreativeWork
215 https://doi.org/10.3168/jds.2007-0980 schema:sameAs https://app.dimensions.ai/details/publication/pub.1077799697
216 rdf:type schema:CreativeWork
217 https://doi.org/10.3389/fgene.2016.00151 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020782811
218 rdf:type schema:CreativeWork
219 https://www.grid.ac/institutes/grid.417961.c schema:alternateName Centre de Recherches de Jouy-en-Josas
220 schema:name GABI, INRA, AgroParisTech, Université Paris-Saclay, Jouy-en-Josas, 78350, Paris, France
221 MARBEC, Univ. Montpellier, Ifremer, CNRS, IRD, Palavas-les-Flots, France
222 rdf:type schema:Organization
223 https://www.grid.ac/institutes/grid.462058.d schema:alternateName Institut des Sciences de l'Evolution de Montpellier
224 schema:name ISEM, Univ. Montpellier, CNRS, IRD, EPHE, Montpellier, France
225 rdf:type schema:Organization
226 https://www.grid.ac/institutes/grid.5608.b schema:alternateName University of Padua
227 schema:name Department of Comparative Biomedicine and Food Science, University of Padua, Agripolis, Viale dell’Università, 16, 35020, Legnaro, PD, Italy
228 MARBEC, Univ. Montpellier, Ifremer, CNRS, IRD, Palavas-les-Flots, France
229 rdf:type schema:Organization
 




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


...