Population genetics of the American oyster Crassostrea virginica along the Atlantic coast and the Gulf of Mexico View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

1983-07

AUTHORS

N. E. Buroker

ABSTRACT

An examination by protein-gel electrophoresis of 19 different geographical populations of the American oyster Crassostrea virginica (Gmelin) was conducted along the Atlantic coast and the Gulf of Mexico. Estimates were made of levels of genetic variation and similarity among the populations based on 32 structural loci. The percentage of loci polymorphic ranged from 46.9 to 65.6% along the Atlantic coast while the estimate ranged from 54.8% to 68.8% on the Gulf of Mexico. The percentage of loci heterozygous ranged from 18.6 to 23.6% along the Atlantic coast and from 20.0 to 25.4% in the Gulf of Mexico. The genetic similarities between all contiguous populations from Cape Cod, Massachusetts to Corpus Christi, Texas were estimated as 99%, while the same estimate between Corpus Christi and Brownsville, Texas was computed as 93%, indicating a major transition in genetic structure for the Brownsville population of the Laguna Madre. The study revealed that the migration of planktonic oyster larvae is predominantly in a westerly direction along the Gulf of Mexico and that gene flow appears to be disrupted in the region of the Laguna Madre. Evidence has been presented for single gene selection at the Lap-2 and Pgi loci in the form of macrogeographical clines in allele frequencies with changing environmental conditions. More... »

PAGES

99-112

Journal

TITLE

Marine Biology

ISSUE

1

VOLUME

75

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/bf00392635

DOI

http://dx.doi.org/10.1007/bf00392635

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1030415360


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": "Rutgers University", 
          "id": "https://www.grid.ac/institutes/grid.430387.b", 
          "name": [
            "The State University of New Jersey, Bureau of Biological Research, Rutgers, 08854, Piscataway, New Jersey, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Buroker", 
        "givenName": "N. E.", 
        "id": "sg:person.013225343205.03", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013225343205.03"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/bf00399209", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004073672", 
          "https://doi.org/10.1007/bf00399209"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00399209", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004073672", 
          "https://doi.org/10.1007/bf00399209"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00386595", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013413604", 
          "https://doi.org/10.1007/bf00386595"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00386595", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013413604", 
          "https://doi.org/10.1007/bf00386595"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1139/f79-189", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013884256"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.77.9.5385", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018647883"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0065-2881(08)60283-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022240611"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1095-8312.1980.tb00112.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031269877"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1139/f75-284", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038347050"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/hdy.1971.85", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046445473", 
          "https://doi.org/10.1038/hdy.1971.85"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/hdy.1971.85", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046445473", 
          "https://doi.org/10.1038/hdy.1971.85"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1098/rspb.1966.0038", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046972811"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1086/280891", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058591014"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1086/282771", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058592894"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.163.3870.943", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062496434"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.174.4013.1035", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062503935"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.72.1856.97", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062644466"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.18785/grr.0601.03", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068692871"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.18785/grr.0603.06", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068692900"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/1540738", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069531197"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/2407602", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069916687"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1080503882", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1080536778", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1558-5646.1973.tb05921.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085727119"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1558-5646.1976.tb00878.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085737261"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1558-5646.1971.tb01882.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085738570"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1558-5646.1980.tb04024.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085866392"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5962/bhl.title.62855", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1099554189"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "1983-07", 
    "datePublishedReg": "1983-07-01", 
    "description": "An examination by protein-gel electrophoresis of 19 different geographical populations of the American oyster Crassostrea virginica (Gmelin) was conducted along the Atlantic coast and the Gulf of Mexico. Estimates were made of levels of genetic variation and similarity among the populations based on 32 structural loci. The percentage of loci polymorphic ranged from 46.9 to 65.6% along the Atlantic coast while the estimate ranged from 54.8% to 68.8% on the Gulf of Mexico. The percentage of loci heterozygous ranged from 18.6 to 23.6% along the Atlantic coast and from 20.0 to 25.4% in the Gulf of Mexico. The genetic similarities between all contiguous populations from Cape Cod, Massachusetts to Corpus Christi, Texas were estimated as 99%, while the same estimate between Corpus Christi and Brownsville, Texas was computed as 93%, indicating a major transition in genetic structure for the Brownsville population of the Laguna Madre. The study revealed that the migration of planktonic oyster larvae is predominantly in a westerly direction along the Gulf of Mexico and that gene flow appears to be disrupted in the region of the Laguna Madre. Evidence has been presented for single gene selection at the Lap-2 and Pgi loci in the form of macrogeographical clines in allele frequencies with changing environmental conditions.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/bf00392635", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1327717", 
        "issn": [
          "0025-3162", 
          "1432-1793"
        ], 
        "name": "Marine Biology", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "75"
      }
    ], 
    "name": "Population genetics of the American oyster Crassostrea virginica along the Atlantic coast and the Gulf of Mexico", 
    "pagination": "99-112", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "90e56e2f77f524e05da1ceb93a567f6780eac7e99aca7214a3b08d0c08019ccc"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/bf00392635"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1030415360"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/bf00392635", 
      "https://app.dimensions.ai/details/publication/pub.1030415360"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T14:02", 
    "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/v90/0000000371_0000000371/records_130831_00000002.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007/BF00392635"
  }
]
 

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/bf00392635'

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/bf00392635'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/bf00392635'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/bf00392635'


 

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

137 TRIPLES      21 PREDICATES      52 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/bf00392635 schema:about anzsrc-for:06
2 anzsrc-for:0604
3 schema:author N2bb43bc230c64de4af20f39d91102513
4 schema:citation sg:pub.10.1007/bf00386595
5 sg:pub.10.1007/bf00399209
6 sg:pub.10.1038/hdy.1971.85
7 https://app.dimensions.ai/details/publication/pub.1080503882
8 https://app.dimensions.ai/details/publication/pub.1080536778
9 https://doi.org/10.1016/s0065-2881(08)60283-7
10 https://doi.org/10.1073/pnas.77.9.5385
11 https://doi.org/10.1086/280891
12 https://doi.org/10.1086/282771
13 https://doi.org/10.1098/rspb.1966.0038
14 https://doi.org/10.1111/j.1095-8312.1980.tb00112.x
15 https://doi.org/10.1111/j.1558-5646.1971.tb01882.x
16 https://doi.org/10.1111/j.1558-5646.1973.tb05921.x
17 https://doi.org/10.1111/j.1558-5646.1976.tb00878.x
18 https://doi.org/10.1111/j.1558-5646.1980.tb04024.x
19 https://doi.org/10.1126/science.163.3870.943
20 https://doi.org/10.1126/science.174.4013.1035
21 https://doi.org/10.1126/science.72.1856.97
22 https://doi.org/10.1139/f75-284
23 https://doi.org/10.1139/f79-189
24 https://doi.org/10.18785/grr.0601.03
25 https://doi.org/10.18785/grr.0603.06
26 https://doi.org/10.2307/1540738
27 https://doi.org/10.2307/2407602
28 https://doi.org/10.5962/bhl.title.62855
29 schema:datePublished 1983-07
30 schema:datePublishedReg 1983-07-01
31 schema:description An examination by protein-gel electrophoresis of 19 different geographical populations of the American oyster Crassostrea virginica (Gmelin) was conducted along the Atlantic coast and the Gulf of Mexico. Estimates were made of levels of genetic variation and similarity among the populations based on 32 structural loci. The percentage of loci polymorphic ranged from 46.9 to 65.6% along the Atlantic coast while the estimate ranged from 54.8% to 68.8% on the Gulf of Mexico. The percentage of loci heterozygous ranged from 18.6 to 23.6% along the Atlantic coast and from 20.0 to 25.4% in the Gulf of Mexico. The genetic similarities between all contiguous populations from Cape Cod, Massachusetts to Corpus Christi, Texas were estimated as 99%, while the same estimate between Corpus Christi and Brownsville, Texas was computed as 93%, indicating a major transition in genetic structure for the Brownsville population of the Laguna Madre. The study revealed that the migration of planktonic oyster larvae is predominantly in a westerly direction along the Gulf of Mexico and that gene flow appears to be disrupted in the region of the Laguna Madre. Evidence has been presented for single gene selection at the Lap-2 and Pgi loci in the form of macrogeographical clines in allele frequencies with changing environmental conditions.
32 schema:genre research_article
33 schema:inLanguage en
34 schema:isAccessibleForFree false
35 schema:isPartOf N08632c25bee5464e82aad181ad973df0
36 N724629726fed45218932740b538005e1
37 sg:journal.1327717
38 schema:name Population genetics of the American oyster Crassostrea virginica along the Atlantic coast and the Gulf of Mexico
39 schema:pagination 99-112
40 schema:productId N0aec67ec44084bc3b4ed00aa4eeff51b
41 N1255933313fa4d749a82b3e77c31676d
42 N1fe7a4f1d7dd4673ac9a1eeab212359a
43 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030415360
44 https://doi.org/10.1007/bf00392635
45 schema:sdDatePublished 2019-04-11T14:02
46 schema:sdLicense https://scigraph.springernature.com/explorer/license/
47 schema:sdPublisher Ne3af98bfc3184542ab2520f20549ed93
48 schema:url http://link.springer.com/10.1007/BF00392635
49 sgo:license sg:explorer/license/
50 sgo:sdDataset articles
51 rdf:type schema:ScholarlyArticle
52 N08632c25bee5464e82aad181ad973df0 schema:issueNumber 1
53 rdf:type schema:PublicationIssue
54 N0aec67ec44084bc3b4ed00aa4eeff51b schema:name dimensions_id
55 schema:value pub.1030415360
56 rdf:type schema:PropertyValue
57 N1255933313fa4d749a82b3e77c31676d schema:name readcube_id
58 schema:value 90e56e2f77f524e05da1ceb93a567f6780eac7e99aca7214a3b08d0c08019ccc
59 rdf:type schema:PropertyValue
60 N1fe7a4f1d7dd4673ac9a1eeab212359a schema:name doi
61 schema:value 10.1007/bf00392635
62 rdf:type schema:PropertyValue
63 N2bb43bc230c64de4af20f39d91102513 rdf:first sg:person.013225343205.03
64 rdf:rest rdf:nil
65 N724629726fed45218932740b538005e1 schema:volumeNumber 75
66 rdf:type schema:PublicationVolume
67 Ne3af98bfc3184542ab2520f20549ed93 schema:name Springer Nature - SN SciGraph project
68 rdf:type schema:Organization
69 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
70 schema:name Biological Sciences
71 rdf:type schema:DefinedTerm
72 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
73 schema:name Genetics
74 rdf:type schema:DefinedTerm
75 sg:journal.1327717 schema:issn 0025-3162
76 1432-1793
77 schema:name Marine Biology
78 rdf:type schema:Periodical
79 sg:person.013225343205.03 schema:affiliation https://www.grid.ac/institutes/grid.430387.b
80 schema:familyName Buroker
81 schema:givenName N. E.
82 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013225343205.03
83 rdf:type schema:Person
84 sg:pub.10.1007/bf00386595 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013413604
85 https://doi.org/10.1007/bf00386595
86 rdf:type schema:CreativeWork
87 sg:pub.10.1007/bf00399209 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004073672
88 https://doi.org/10.1007/bf00399209
89 rdf:type schema:CreativeWork
90 sg:pub.10.1038/hdy.1971.85 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046445473
91 https://doi.org/10.1038/hdy.1971.85
92 rdf:type schema:CreativeWork
93 https://app.dimensions.ai/details/publication/pub.1080503882 schema:CreativeWork
94 https://app.dimensions.ai/details/publication/pub.1080536778 schema:CreativeWork
95 https://doi.org/10.1016/s0065-2881(08)60283-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022240611
96 rdf:type schema:CreativeWork
97 https://doi.org/10.1073/pnas.77.9.5385 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018647883
98 rdf:type schema:CreativeWork
99 https://doi.org/10.1086/280891 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058591014
100 rdf:type schema:CreativeWork
101 https://doi.org/10.1086/282771 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058592894
102 rdf:type schema:CreativeWork
103 https://doi.org/10.1098/rspb.1966.0038 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046972811
104 rdf:type schema:CreativeWork
105 https://doi.org/10.1111/j.1095-8312.1980.tb00112.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1031269877
106 rdf:type schema:CreativeWork
107 https://doi.org/10.1111/j.1558-5646.1971.tb01882.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1085738570
108 rdf:type schema:CreativeWork
109 https://doi.org/10.1111/j.1558-5646.1973.tb05921.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1085727119
110 rdf:type schema:CreativeWork
111 https://doi.org/10.1111/j.1558-5646.1976.tb00878.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1085737261
112 rdf:type schema:CreativeWork
113 https://doi.org/10.1111/j.1558-5646.1980.tb04024.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1085866392
114 rdf:type schema:CreativeWork
115 https://doi.org/10.1126/science.163.3870.943 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062496434
116 rdf:type schema:CreativeWork
117 https://doi.org/10.1126/science.174.4013.1035 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062503935
118 rdf:type schema:CreativeWork
119 https://doi.org/10.1126/science.72.1856.97 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062644466
120 rdf:type schema:CreativeWork
121 https://doi.org/10.1139/f75-284 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038347050
122 rdf:type schema:CreativeWork
123 https://doi.org/10.1139/f79-189 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013884256
124 rdf:type schema:CreativeWork
125 https://doi.org/10.18785/grr.0601.03 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068692871
126 rdf:type schema:CreativeWork
127 https://doi.org/10.18785/grr.0603.06 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068692900
128 rdf:type schema:CreativeWork
129 https://doi.org/10.2307/1540738 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069531197
130 rdf:type schema:CreativeWork
131 https://doi.org/10.2307/2407602 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069916687
132 rdf:type schema:CreativeWork
133 https://doi.org/10.5962/bhl.title.62855 schema:sameAs https://app.dimensions.ai/details/publication/pub.1099554189
134 rdf:type schema:CreativeWork
135 https://www.grid.ac/institutes/grid.430387.b schema:alternateName Rutgers University
136 schema:name The State University of New Jersey, Bureau of Biological Research, Rutgers, 08854, Piscataway, New Jersey, USA
137 rdf:type schema:Organization
 




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


...