Morphological and genetic evaluation of the hydrocoral Millepora species complex in the Caribbean View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2014-12

AUTHORS

Dannise V Ruiz-Ramos, Ernesto Weil, Nikolaos V Schizas

ABSTRACT

The hydrocoral Millepora is an important framework builder that dominates shallow turbulent environments in the Indo-Pacific and the Atlantic-Caribbean. The Caribbean representatives of the genus are classified in four species - Millepora alcicornis, Millepora complanata, Millepora striata, and Millepora squarrosa - but their taxonomic boundaries are not clearly defined. We used mitochondrial gene sequences to delineate the four Millepora species and evaluated whether morphological traits and mitochondrial sequence divergence were correlated for two most common species M. alcicornis and M. complanata. Samples were collected from Puerto Rico, Guadeloupe, Curaçao, Grand Cayman, and Panama during 2006 to 2007. Diameter of dactylopores distinguished the branching and encrusting morphotypes of M. alcicornis and M. complanata, and gastropore diameter discriminated between M. alcicornis and M. complanata. High levels of haplotypic diversity (Hd = 0.94) were observed, with the most common haplotypes shared by M. alcicornis and M. complanata. Sequence divergence ranged from 0% to 3% among M. alcicornis, M. complanata, and M. striata to 25% between these three species and M. squarrosa. Bayesian analysis of cytochrome oxidase subunit I (COI) gene indicated the presence of three Caribbean taxa: M. squarrosa, M. striata, and the 'species complex’ encompassing the morphologies displayed by M. complanata and M. alcicornis. The branched M. alcicornis and encrusted M. alcicornis and M. complanata can be differentiated morphologically but not genetically. Phylogenetic analysis suggests that the Caribbean milleporids include three species - M. squarrosa, M. striata, and the species complex of M. alcicornis-M. complanata. Millepora striata is closely related to the M. alcicornis-M. complanata species complex. More... »

PAGES

4

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/1810-522x-53-4

DOI

http://dx.doi.org/10.1186/1810-522x-53-4

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1000605582


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": "Pennsylvania State University", 
          "id": "https://www.grid.ac/institutes/grid.29857.31", 
          "name": [
            "Department of Marine Sciences, University of Puerto Rico, Mayag\u00fcez, Call Box 9000, 00681, Mayag\u00fcez, Puerto Rico", 
            "208 Mueller Laboratory, Biology Department, The Pennsylvania State University, 16801, University Park, PA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ruiz-Ramos", 
        "givenName": "Dannise V", 
        "id": "sg:person.0623024152.33", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0623024152.33"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Puerto Rico at Mayag\u00fcez", 
          "id": "https://www.grid.ac/institutes/grid.267044.3", 
          "name": [
            "Department of Marine Sciences, University of Puerto Rico, Mayag\u00fcez, Call Box 9000, 00681, Mayag\u00fcez, Puerto Rico"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Weil", 
        "givenName": "Ernesto", 
        "id": "sg:person.0621507403.36", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0621507403.36"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Puerto Rico at Mayag\u00fcez", 
          "id": "https://www.grid.ac/institutes/grid.267044.3", 
          "name": [
            "Department of Marine Sciences, University of Puerto Rico, Mayag\u00fcez, Call Box 9000, 00681, Mayag\u00fcez, Puerto Rico"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Schizas", 
        "givenName": "Nikolaos V", 
        "id": "sg:person.016227540563.76", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016227540563.76"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1046/j.1365-294x.2000.01020.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002156210"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s003380000086", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002517537", 
          "https://doi.org/10.1007/s003380000086"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1046/j.1365-294x.2002.01652.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007607538"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/pl00011756", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012329961", 
          "https://doi.org/10.1007/pl00011756"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/pl00011756", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012329961", 
          "https://doi.org/10.1007/pl00011756"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.0014-3820.2004.tb01647.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012400326"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s002270050547", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012603973", 
          "https://doi.org/10.1007/s002270050547"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s003380050167", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014023105", 
          "https://doi.org/10.1007/s003380050167"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0065-2881(05)50001-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016100311"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00227-004-1434-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020671759", 
          "https://doi.org/10.1007/s00227-004-1434-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00227-004-1434-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020671759", 
          "https://doi.org/10.1007/s00227-004-1434-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1558-5646.2011.01235.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020781744"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/oxfordjournals.molbev.a026073", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022206648"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1046/j.1365-294x.2000.01010.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023241317"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0305-1978(93)90079-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026681191"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0305-1978(93)90079-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026681191"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2148-6-24", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028319003", 
          "https://doi.org/10.1186/1471-2148-6-24"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/14.9.817", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029580565"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/btg359", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030077759"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/btg180", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036252078"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00303779", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036421022", 
          "https://doi.org/10.1007/bf00303779"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0003240", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036509884"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1469-185x.2008.00045.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037462837"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/217624a0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037698058", 
          "https://doi.org/10.1038/217624a0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/217624a0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037698058", 
          "https://doi.org/10.1038/217624a0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1098/rspb.1998.0568", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037999720"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0022-0981(97)00203-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043304327"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.0014-3820.2004.tb01648.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044811872"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00227-003-1135-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046539889", 
          "https://doi.org/10.1007/s00227-003-1135-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00338264", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053634296", 
          "https://doi.org/10.1007/bf00338264"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.209.4457.689", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062521390"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.255.5042.330", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062543336"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/1543089", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069533138"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/2408678", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069917669"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3354/meps054257", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1071166116"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3354/meps069253", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1071166588"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3354/meps090251", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1071169304"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3354/meps092255", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1071169573"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4319/lo.1994.39.2.0488", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1072514265"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5479/si.00775630.459.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1072904497"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5923/j.ms.20120205.04", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1073509873"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1077181267", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1077879113", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1078957195", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/oxfordjournals.molbev.a040023", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1082762864"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2014-12", 
    "datePublishedReg": "2014-12-01", 
    "description": "The hydrocoral Millepora is an important framework builder that dominates shallow turbulent environments in the Indo-Pacific and the Atlantic-Caribbean. The Caribbean representatives of the genus are classified in four species - Millepora alcicornis, Millepora complanata, Millepora striata, and Millepora squarrosa - but their taxonomic boundaries are not clearly defined. We used mitochondrial gene sequences to delineate the four Millepora species and evaluated whether morphological traits and mitochondrial sequence divergence were correlated for two most common species M. alcicornis and M. complanata. Samples were collected from Puerto Rico, Guadeloupe, Cura\u00e7ao, Grand Cayman, and Panama during 2006 to 2007. Diameter of dactylopores distinguished the branching and encrusting morphotypes of M. alcicornis and M. complanata, and gastropore diameter discriminated between M. alcicornis and M. complanata. High levels of haplotypic diversity (Hd = 0.94) were observed, with the most common haplotypes shared by M. alcicornis and M. complanata. Sequence divergence ranged from 0% to 3% among M. alcicornis, M. complanata, and M. striata to 25% between these three species and M. squarrosa. Bayesian analysis of cytochrome oxidase subunit I (COI) gene indicated the presence of three Caribbean taxa: M. squarrosa, M. striata, and the 'species complex\u2019 encompassing the morphologies displayed by M. complanata and M. alcicornis. The branched M. alcicornis and encrusted M. alcicornis and M. complanata can be differentiated morphologically but not genetically. Phylogenetic analysis suggests that the Caribbean milleporids include three species - M. squarrosa, M. striata, and the species complex of M. alcicornis-M. complanata. Millepora striata is closely related to the M. alcicornis-M. complanata species complex.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/1810-522x-53-4", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.2438424", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.4044344", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2670305", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1019837", 
        "issn": [
          "1021-5506", 
          "1810-522X"
        ], 
        "name": "Zoological Studies", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "53"
      }
    ], 
    "name": "Morphological and genetic evaluation of the hydrocoral Millepora species complex in the Caribbean", 
    "pagination": "4", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "02e2318d11dbbde9b149c8c6fa5d05c0eb43df3f719225e9a0c0e64871c31ad3"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/1810-522x-53-4"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1000605582"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/1810-522x-53-4", 
      "https://app.dimensions.ai/details/publication/pub.1000605582"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T15:50", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8664_00000509.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1186%2F1810-522X-53-4"
  }
]
 

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.10.1186/1810-522x-53-4'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/1810-522x-53-4'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/1810-522x-53-4'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/1810-522x-53-4'


 

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

215 TRIPLES      21 PREDICATES      68 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/1810-522x-53-4 schema:about anzsrc-for:06
2 anzsrc-for:0604
3 schema:author N1f8849a3f8e841b6a36f32554da0de78
4 schema:citation sg:pub.10.1007/bf00303779
5 sg:pub.10.1007/bf00338264
6 sg:pub.10.1007/pl00011756
7 sg:pub.10.1007/s00227-003-1135-3
8 sg:pub.10.1007/s00227-004-1434-3
9 sg:pub.10.1007/s002270050547
10 sg:pub.10.1007/s003380000086
11 sg:pub.10.1007/s003380050167
12 sg:pub.10.1038/217624a0
13 sg:pub.10.1186/1471-2148-6-24
14 https://app.dimensions.ai/details/publication/pub.1077181267
15 https://app.dimensions.ai/details/publication/pub.1077879113
16 https://app.dimensions.ai/details/publication/pub.1078957195
17 https://doi.org/10.1016/0305-1978(93)90079-7
18 https://doi.org/10.1016/s0022-0981(97)00203-7
19 https://doi.org/10.1016/s0065-2881(05)50001-4
20 https://doi.org/10.1046/j.1365-294x.2000.01010.x
21 https://doi.org/10.1046/j.1365-294x.2000.01020.x
22 https://doi.org/10.1046/j.1365-294x.2002.01652.x
23 https://doi.org/10.1093/bioinformatics/14.9.817
24 https://doi.org/10.1093/bioinformatics/btg180
25 https://doi.org/10.1093/bioinformatics/btg359
26 https://doi.org/10.1093/oxfordjournals.molbev.a026073
27 https://doi.org/10.1093/oxfordjournals.molbev.a040023
28 https://doi.org/10.1098/rspb.1998.0568
29 https://doi.org/10.1111/j.0014-3820.2004.tb01647.x
30 https://doi.org/10.1111/j.0014-3820.2004.tb01648.x
31 https://doi.org/10.1111/j.1469-185x.2008.00045.x
32 https://doi.org/10.1111/j.1558-5646.2011.01235.x
33 https://doi.org/10.1126/science.209.4457.689
34 https://doi.org/10.1126/science.255.5042.330
35 https://doi.org/10.1371/journal.pone.0003240
36 https://doi.org/10.2307/1543089
37 https://doi.org/10.2307/2408678
38 https://doi.org/10.3354/meps054257
39 https://doi.org/10.3354/meps069253
40 https://doi.org/10.3354/meps090251
41 https://doi.org/10.3354/meps092255
42 https://doi.org/10.4319/lo.1994.39.2.0488
43 https://doi.org/10.5479/si.00775630.459.1
44 https://doi.org/10.5923/j.ms.20120205.04
45 schema:datePublished 2014-12
46 schema:datePublishedReg 2014-12-01
47 schema:description The hydrocoral Millepora is an important framework builder that dominates shallow turbulent environments in the Indo-Pacific and the Atlantic-Caribbean. The Caribbean representatives of the genus are classified in four species - Millepora alcicornis, Millepora complanata, Millepora striata, and Millepora squarrosa - but their taxonomic boundaries are not clearly defined. We used mitochondrial gene sequences to delineate the four Millepora species and evaluated whether morphological traits and mitochondrial sequence divergence were correlated for two most common species M. alcicornis and M. complanata. Samples were collected from Puerto Rico, Guadeloupe, Curaçao, Grand Cayman, and Panama during 2006 to 2007. Diameter of dactylopores distinguished the branching and encrusting morphotypes of M. alcicornis and M. complanata, and gastropore diameter discriminated between M. alcicornis and M. complanata. High levels of haplotypic diversity (Hd = 0.94) were observed, with the most common haplotypes shared by M. alcicornis and M. complanata. Sequence divergence ranged from 0% to 3% among M. alcicornis, M. complanata, and M. striata to 25% between these three species and M. squarrosa. Bayesian analysis of cytochrome oxidase subunit I (COI) gene indicated the presence of three Caribbean taxa: M. squarrosa, M. striata, and the 'species complex’ encompassing the morphologies displayed by M. complanata and M. alcicornis. The branched M. alcicornis and encrusted M. alcicornis and M. complanata can be differentiated morphologically but not genetically. Phylogenetic analysis suggests that the Caribbean milleporids include three species - M. squarrosa, M. striata, and the species complex of M. alcicornis-M. complanata. Millepora striata is closely related to the M. alcicornis-M. complanata species complex.
48 schema:genre research_article
49 schema:inLanguage en
50 schema:isAccessibleForFree true
51 schema:isPartOf N39b8751c035342128acf141dd3814f43
52 Ned80bfbb09b24a0293b2fb222171ca13
53 sg:journal.1019837
54 schema:name Morphological and genetic evaluation of the hydrocoral Millepora species complex in the Caribbean
55 schema:pagination 4
56 schema:productId N3ff2a54ea6cf4db3afc8ea175343059a
57 N64ca5be7feb7449eac7cc2b0a65f97b5
58 N8cef291126084228996568576fd0145e
59 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000605582
60 https://doi.org/10.1186/1810-522x-53-4
61 schema:sdDatePublished 2019-04-10T15:50
62 schema:sdLicense https://scigraph.springernature.com/explorer/license/
63 schema:sdPublisher Ne1f4a61508714644b965c03824629e49
64 schema:url http://link.springer.com/10.1186%2F1810-522X-53-4
65 sgo:license sg:explorer/license/
66 sgo:sdDataset articles
67 rdf:type schema:ScholarlyArticle
68 N1f8849a3f8e841b6a36f32554da0de78 rdf:first sg:person.0623024152.33
69 rdf:rest N26a36ef56eaa4f2eb00b0e32a31e880b
70 N26a36ef56eaa4f2eb00b0e32a31e880b rdf:first sg:person.0621507403.36
71 rdf:rest N2e3338842da143458f441a74f3dc237c
72 N2e3338842da143458f441a74f3dc237c rdf:first sg:person.016227540563.76
73 rdf:rest rdf:nil
74 N39b8751c035342128acf141dd3814f43 schema:volumeNumber 53
75 rdf:type schema:PublicationVolume
76 N3ff2a54ea6cf4db3afc8ea175343059a schema:name dimensions_id
77 schema:value pub.1000605582
78 rdf:type schema:PropertyValue
79 N64ca5be7feb7449eac7cc2b0a65f97b5 schema:name doi
80 schema:value 10.1186/1810-522x-53-4
81 rdf:type schema:PropertyValue
82 N8cef291126084228996568576fd0145e schema:name readcube_id
83 schema:value 02e2318d11dbbde9b149c8c6fa5d05c0eb43df3f719225e9a0c0e64871c31ad3
84 rdf:type schema:PropertyValue
85 Ne1f4a61508714644b965c03824629e49 schema:name Springer Nature - SN SciGraph project
86 rdf:type schema:Organization
87 Ned80bfbb09b24a0293b2fb222171ca13 schema:issueNumber 1
88 rdf:type schema:PublicationIssue
89 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
90 schema:name Biological Sciences
91 rdf:type schema:DefinedTerm
92 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
93 schema:name Genetics
94 rdf:type schema:DefinedTerm
95 sg:grant.2438424 http://pending.schema.org/fundedItem sg:pub.10.1186/1810-522x-53-4
96 rdf:type schema:MonetaryGrant
97 sg:grant.2670305 http://pending.schema.org/fundedItem sg:pub.10.1186/1810-522x-53-4
98 rdf:type schema:MonetaryGrant
99 sg:grant.4044344 http://pending.schema.org/fundedItem sg:pub.10.1186/1810-522x-53-4
100 rdf:type schema:MonetaryGrant
101 sg:journal.1019837 schema:issn 1021-5506
102 1810-522X
103 schema:name Zoological Studies
104 rdf:type schema:Periodical
105 sg:person.016227540563.76 schema:affiliation https://www.grid.ac/institutes/grid.267044.3
106 schema:familyName Schizas
107 schema:givenName Nikolaos V
108 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016227540563.76
109 rdf:type schema:Person
110 sg:person.0621507403.36 schema:affiliation https://www.grid.ac/institutes/grid.267044.3
111 schema:familyName Weil
112 schema:givenName Ernesto
113 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0621507403.36
114 rdf:type schema:Person
115 sg:person.0623024152.33 schema:affiliation https://www.grid.ac/institutes/grid.29857.31
116 schema:familyName Ruiz-Ramos
117 schema:givenName Dannise V
118 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0623024152.33
119 rdf:type schema:Person
120 sg:pub.10.1007/bf00303779 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036421022
121 https://doi.org/10.1007/bf00303779
122 rdf:type schema:CreativeWork
123 sg:pub.10.1007/bf00338264 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053634296
124 https://doi.org/10.1007/bf00338264
125 rdf:type schema:CreativeWork
126 sg:pub.10.1007/pl00011756 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012329961
127 https://doi.org/10.1007/pl00011756
128 rdf:type schema:CreativeWork
129 sg:pub.10.1007/s00227-003-1135-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046539889
130 https://doi.org/10.1007/s00227-003-1135-3
131 rdf:type schema:CreativeWork
132 sg:pub.10.1007/s00227-004-1434-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020671759
133 https://doi.org/10.1007/s00227-004-1434-3
134 rdf:type schema:CreativeWork
135 sg:pub.10.1007/s002270050547 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012603973
136 https://doi.org/10.1007/s002270050547
137 rdf:type schema:CreativeWork
138 sg:pub.10.1007/s003380000086 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002517537
139 https://doi.org/10.1007/s003380000086
140 rdf:type schema:CreativeWork
141 sg:pub.10.1007/s003380050167 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014023105
142 https://doi.org/10.1007/s003380050167
143 rdf:type schema:CreativeWork
144 sg:pub.10.1038/217624a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037698058
145 https://doi.org/10.1038/217624a0
146 rdf:type schema:CreativeWork
147 sg:pub.10.1186/1471-2148-6-24 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028319003
148 https://doi.org/10.1186/1471-2148-6-24
149 rdf:type schema:CreativeWork
150 https://app.dimensions.ai/details/publication/pub.1077181267 schema:CreativeWork
151 https://app.dimensions.ai/details/publication/pub.1077879113 schema:CreativeWork
152 https://app.dimensions.ai/details/publication/pub.1078957195 schema:CreativeWork
153 https://doi.org/10.1016/0305-1978(93)90079-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026681191
154 rdf:type schema:CreativeWork
155 https://doi.org/10.1016/s0022-0981(97)00203-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043304327
156 rdf:type schema:CreativeWork
157 https://doi.org/10.1016/s0065-2881(05)50001-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016100311
158 rdf:type schema:CreativeWork
159 https://doi.org/10.1046/j.1365-294x.2000.01010.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1023241317
160 rdf:type schema:CreativeWork
161 https://doi.org/10.1046/j.1365-294x.2000.01020.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1002156210
162 rdf:type schema:CreativeWork
163 https://doi.org/10.1046/j.1365-294x.2002.01652.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1007607538
164 rdf:type schema:CreativeWork
165 https://doi.org/10.1093/bioinformatics/14.9.817 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029580565
166 rdf:type schema:CreativeWork
167 https://doi.org/10.1093/bioinformatics/btg180 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036252078
168 rdf:type schema:CreativeWork
169 https://doi.org/10.1093/bioinformatics/btg359 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030077759
170 rdf:type schema:CreativeWork
171 https://doi.org/10.1093/oxfordjournals.molbev.a026073 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022206648
172 rdf:type schema:CreativeWork
173 https://doi.org/10.1093/oxfordjournals.molbev.a040023 schema:sameAs https://app.dimensions.ai/details/publication/pub.1082762864
174 rdf:type schema:CreativeWork
175 https://doi.org/10.1098/rspb.1998.0568 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037999720
176 rdf:type schema:CreativeWork
177 https://doi.org/10.1111/j.0014-3820.2004.tb01647.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1012400326
178 rdf:type schema:CreativeWork
179 https://doi.org/10.1111/j.0014-3820.2004.tb01648.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1044811872
180 rdf:type schema:CreativeWork
181 https://doi.org/10.1111/j.1469-185x.2008.00045.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1037462837
182 rdf:type schema:CreativeWork
183 https://doi.org/10.1111/j.1558-5646.2011.01235.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1020781744
184 rdf:type schema:CreativeWork
185 https://doi.org/10.1126/science.209.4457.689 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062521390
186 rdf:type schema:CreativeWork
187 https://doi.org/10.1126/science.255.5042.330 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062543336
188 rdf:type schema:CreativeWork
189 https://doi.org/10.1371/journal.pone.0003240 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036509884
190 rdf:type schema:CreativeWork
191 https://doi.org/10.2307/1543089 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069533138
192 rdf:type schema:CreativeWork
193 https://doi.org/10.2307/2408678 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069917669
194 rdf:type schema:CreativeWork
195 https://doi.org/10.3354/meps054257 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071166116
196 rdf:type schema:CreativeWork
197 https://doi.org/10.3354/meps069253 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071166588
198 rdf:type schema:CreativeWork
199 https://doi.org/10.3354/meps090251 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071169304
200 rdf:type schema:CreativeWork
201 https://doi.org/10.3354/meps092255 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071169573
202 rdf:type schema:CreativeWork
203 https://doi.org/10.4319/lo.1994.39.2.0488 schema:sameAs https://app.dimensions.ai/details/publication/pub.1072514265
204 rdf:type schema:CreativeWork
205 https://doi.org/10.5479/si.00775630.459.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1072904497
206 rdf:type schema:CreativeWork
207 https://doi.org/10.5923/j.ms.20120205.04 schema:sameAs https://app.dimensions.ai/details/publication/pub.1073509873
208 rdf:type schema:CreativeWork
209 https://www.grid.ac/institutes/grid.267044.3 schema:alternateName University of Puerto Rico at Mayagüez
210 schema:name Department of Marine Sciences, University of Puerto Rico, Mayagüez, Call Box 9000, 00681, Mayagüez, Puerto Rico
211 rdf:type schema:Organization
212 https://www.grid.ac/institutes/grid.29857.31 schema:alternateName Pennsylvania State University
213 schema:name 208 Mueller Laboratory, Biology Department, The Pennsylvania State University, 16801, University Park, PA, USA
214 Department of Marine Sciences, University of Puerto Rico, Mayagüez, Call Box 9000, 00681, Mayagüez, Puerto Rico
215 rdf:type schema:Organization
 




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


...