Targeted Amplification and Sequencing of Ancient Environmental and Sedimentary DNA. View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2019

AUTHORS

Ruth V Nichols , Emily Curd , Peter D Heintzman , Beth Shapiro

ABSTRACT

All organisms release their DNA into the environment through processes such as excretion and the senescence of tissues and limbs. This DNA, often referred to as environmental DNA (eDNA) or sedimentary ancient DNA (sedaDNA), can be recovered from both present-day and ancient soils, fecal samples, bodies of water and lake cores, and even air. While eDNA is a potentially useful record of past and present biodiversity, several challenges complicate data generation and interpretation of results. Most importantly, eDNA samples tend to be highly taxonomically mixed, and the target organism or group of organisms may be present at very low abundance within this mixture. To overcome this challenge, enrichment approaches are often used to target specific taxa of interest. Here, we describe a protocol to amplify metabarcodes or short, variable loci that identify lineages within broad taxonomic groups (e.g., plants, mammals), using the polymerase chain reaction (PCR) with established generic "barcode" primers. We also provide a catalog of animal and plant barcode primers that, because they target relatively short fragments of DNA, are potentially suitable for use with degraded DNA. More... »

PAGES

149-161

Book

TITLE

Ancient DNA

ISBN

978-1-4939-9175-4
978-1-4939-9176-1

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-1-4939-9176-1_16

DOI

http://dx.doi.org/10.1007/978-1-4939-9176-1_16

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1112770946

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30875053


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 California, Santa Cruz", 
          "id": "https://www.grid.ac/institutes/grid.205975.c", 
          "name": [
            "Department of Ecology and Evolutionary Biology, University of California Santa Cruz, Santa Cruz, CA, USA."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nichols", 
        "givenName": "Ruth V", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of California Los Angeles", 
          "id": "https://www.grid.ac/institutes/grid.19006.3e", 
          "name": [
            "Department of Ecology and Evolutionary Biology, University of California Los Angeles, Los Angeles, CA, USA."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Curd", 
        "givenName": "Emily", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "The Arctic University of Norway", 
          "id": "https://www.grid.ac/institutes/grid.10919.30", 
          "name": [
            "Troms\u00f8 University Museum, UiT-The Arctic University of Norway, Troms\u00f8, Norway."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Heintzman", 
        "givenName": "Peter D", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of California, Santa Cruz", 
          "id": "https://www.grid.ac/institutes/grid.205975.c", 
          "name": [
            "Department of Ecology and Evolutionary Biology, University of California Santa Cruz, Santa Cruz, CA, USA. bashapir@ucsc.edu."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Shapiro", 
        "givenName": "Beth", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1111/mec.13549", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004480259"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-294x.2011.05407.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004559485"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/1755-0998.12402", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008593461"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature19085", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011523918", 
          "https://doi.org/10.1038/nature19085"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/gkr732", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012329294"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/gkl938", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017189270"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0165259", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022452570"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0083761", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024976060"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ncomms4211", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025883621", 
          "https://doi.org/10.1038/ncomms4211"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-294x.2011.05306.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027299560"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1755-0998.2010.02855.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028244976"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1755-0998.2010.02855.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028244976"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-294x.2012.05537.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028799869"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1742-9994-6-16", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037907561", 
          "https://doi.org/10.1186/1742-9994-6-16"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/oxfordjournals.molbev.a025566", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038912861"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1755-0998.2012.03172.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039816602"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1101/gr.128124.111", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041123660"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.1604903113", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045399751"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.1604903113", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045399751"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/mec.13428", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046457524"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ncomms13389", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046546920", 
          "https://doi.org/10.1038/ncomms13389"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1755-263x.2010.00158.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050448133"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.tree.2014.04.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052813286"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1141758", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062455979"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.aam9695", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085284331"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3390/genes8060169", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1086108120"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/1755-0998.12895", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1104161192"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019", 
    "datePublishedReg": "2019-01-01", 
    "description": "All organisms release their DNA into the environment through processes such as excretion and the senescence of tissues and limbs. This DNA, often referred to as environmental DNA (eDNA) or sedimentary ancient DNA (sedaDNA), can be recovered from both present-day and ancient soils, fecal samples, bodies of water and lake cores, and even air. While eDNA is a potentially useful record of past and present biodiversity, several challenges complicate data generation and interpretation of results. Most importantly, eDNA samples tend to be highly taxonomically mixed, and the target organism or group of organisms may be present at very low abundance within this mixture. To overcome this challenge, enrichment approaches are often used to target specific taxa of interest. Here, we describe a protocol to amplify metabarcodes or short, variable loci that identify lineages within broad taxonomic groups (e.g., plants, mammals), using the polymerase chain reaction (PCR) with established generic \"barcode\" primers. We also provide a catalog of animal and plant barcode primers that, because they target relatively short fragments of DNA, are potentially suitable for use with degraded DNA.", 
    "editor": [
      {
        "familyName": "Shapiro", 
        "givenName": "Beth", 
        "type": "Person"
      }, 
      {
        "familyName": "Barlow", 
        "givenName": "Axel", 
        "type": "Person"
      }, 
      {
        "familyName": "Heintzman", 
        "givenName": "Peter D.", 
        "type": "Person"
      }, 
      {
        "familyName": "Hofreiter", 
        "givenName": "Michael", 
        "type": "Person"
      }, 
      {
        "familyName": "Paijmans", 
        "givenName": "Johanna L. A.", 
        "type": "Person"
      }, 
      {
        "familyName": "Soares", 
        "givenName": "Andr\u00e9 E. R.", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-1-4939-9176-1_16", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": {
      "isbn": [
        "978-1-4939-9175-4", 
        "978-1-4939-9176-1"
      ], 
      "name": "Ancient DNA", 
      "type": "Book"
    }, 
    "name": "Targeted Amplification and Sequencing of Ancient Environmental and Sedimentary DNA.", 
    "pagination": "149-161", 
    "productId": [
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30875053"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1112770946"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-1-4939-9176-1_16"
        ]
      }
    ], 
    "publisher": {
      "location": "New York, NY", 
      "name": "Springer New York", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-1-4939-9176-1_16", 
      "https://app.dimensions.ai/details/publication/pub.1112770946"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2019-04-16T10:06", 
    "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/v90/0000000377_0000000377/records_106803_00000002.jsonl", 
    "type": "Chapter", 
    "url": "http://link.springer.com/10.1007/978-1-4939-9176-1_16"
  }
]
 

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.10.1007/978-1-4939-9176-1_16'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-1-4939-9176-1_16'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-1-4939-9176-1_16'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-1-4939-9176-1_16'


 

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

193 TRIPLES      23 PREDICATES      52 URIs      20 LITERALS      8 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-1-4939-9176-1_16 schema:about anzsrc-for:06
2 anzsrc-for:0604
3 schema:author N2caf065d2ff3405ea84ae7805b76e382
4 schema:citation sg:pub.10.1038/nature19085
5 sg:pub.10.1038/ncomms13389
6 sg:pub.10.1038/ncomms4211
7 sg:pub.10.1186/1742-9994-6-16
8 https://doi.org/10.1016/j.tree.2014.04.003
9 https://doi.org/10.1073/pnas.1604903113
10 https://doi.org/10.1093/nar/gkl938
11 https://doi.org/10.1093/nar/gkr732
12 https://doi.org/10.1093/oxfordjournals.molbev.a025566
13 https://doi.org/10.1101/gr.128124.111
14 https://doi.org/10.1111/1755-0998.12402
15 https://doi.org/10.1111/1755-0998.12895
16 https://doi.org/10.1111/j.1365-294x.2011.05306.x
17 https://doi.org/10.1111/j.1365-294x.2011.05407.x
18 https://doi.org/10.1111/j.1365-294x.2012.05537.x
19 https://doi.org/10.1111/j.1755-0998.2010.02855.x
20 https://doi.org/10.1111/j.1755-0998.2012.03172.x
21 https://doi.org/10.1111/j.1755-263x.2010.00158.x
22 https://doi.org/10.1111/mec.13428
23 https://doi.org/10.1111/mec.13549
24 https://doi.org/10.1126/science.1141758
25 https://doi.org/10.1126/science.aam9695
26 https://doi.org/10.1371/journal.pone.0083761
27 https://doi.org/10.1371/journal.pone.0165259
28 https://doi.org/10.3390/genes8060169
29 schema:datePublished 2019
30 schema:datePublishedReg 2019-01-01
31 schema:description All organisms release their DNA into the environment through processes such as excretion and the senescence of tissues and limbs. This DNA, often referred to as environmental DNA (eDNA) or sedimentary ancient DNA (sedaDNA), can be recovered from both present-day and ancient soils, fecal samples, bodies of water and lake cores, and even air. While eDNA is a potentially useful record of past and present biodiversity, several challenges complicate data generation and interpretation of results. Most importantly, eDNA samples tend to be highly taxonomically mixed, and the target organism or group of organisms may be present at very low abundance within this mixture. To overcome this challenge, enrichment approaches are often used to target specific taxa of interest. Here, we describe a protocol to amplify metabarcodes or short, variable loci that identify lineages within broad taxonomic groups (e.g., plants, mammals), using the polymerase chain reaction (PCR) with established generic "barcode" primers. We also provide a catalog of animal and plant barcode primers that, because they target relatively short fragments of DNA, are potentially suitable for use with degraded DNA.
32 schema:editor N1d3fccb7719c47fa9cf9ccc8691f81db
33 schema:genre chapter
34 schema:inLanguage en
35 schema:isAccessibleForFree false
36 schema:isPartOf Ndffa3c6526994193988c17ef28cae31b
37 schema:name Targeted Amplification and Sequencing of Ancient Environmental and Sedimentary DNA.
38 schema:pagination 149-161
39 schema:productId N079d824e357b4b55bcf6e6601ffc1abf
40 N16b24adc694b4004a671683bd74adb85
41 N9281e57ad8e2403ba75713b868e4b2a6
42 schema:publisher N03eecb78de6a40238076b6d05dd64464
43 schema:sameAs https://app.dimensions.ai/details/publication/pub.1112770946
44 https://doi.org/10.1007/978-1-4939-9176-1_16
45 schema:sdDatePublished 2019-04-16T10:06
46 schema:sdLicense https://scigraph.springernature.com/explorer/license/
47 schema:sdPublisher N8ed8ca498a6c44e0b6d06ea06a696529
48 schema:url http://link.springer.com/10.1007/978-1-4939-9176-1_16
49 sgo:license sg:explorer/license/
50 sgo:sdDataset chapters
51 rdf:type schema:Chapter
52 N034b50ccb02a45ae8a30d6e913f90f3d schema:affiliation https://www.grid.ac/institutes/grid.205975.c
53 schema:familyName Shapiro
54 schema:givenName Beth
55 rdf:type schema:Person
56 N03eecb78de6a40238076b6d05dd64464 schema:location New York, NY
57 schema:name Springer New York
58 rdf:type schema:Organisation
59 N079d824e357b4b55bcf6e6601ffc1abf schema:name doi
60 schema:value 10.1007/978-1-4939-9176-1_16
61 rdf:type schema:PropertyValue
62 N16b24adc694b4004a671683bd74adb85 schema:name dimensions_id
63 schema:value pub.1112770946
64 rdf:type schema:PropertyValue
65 N1d3fccb7719c47fa9cf9ccc8691f81db rdf:first Nd097789a313c4a7f8f87688217751403
66 rdf:rest Ndd2b2c1abb2e4767be0ecbbac7b78251
67 N2b45a426e0724890acd06f880284fef2 schema:affiliation https://www.grid.ac/institutes/grid.10919.30
68 schema:familyName Heintzman
69 schema:givenName Peter D
70 rdf:type schema:Person
71 N2caf065d2ff3405ea84ae7805b76e382 rdf:first N811bccf713bd4d23803e79f467e9cab7
72 rdf:rest Nfd8af270c70c472d84c11cd4dc4cfbb3
73 N32db752d21c24824ad524b3bf1301345 rdf:first N8bce647fc4fb405baebc99db6ac911f2
74 rdf:rest rdf:nil
75 N69c1b7b1e673400693fd1eeaa65ad736 schema:familyName Paijmans
76 schema:givenName Johanna L. A.
77 rdf:type schema:Person
78 N77d695897c3e4570acf6178fac275783 rdf:first N034b50ccb02a45ae8a30d6e913f90f3d
79 rdf:rest rdf:nil
80 N7b3cc60219ec4cfcbe8c5762f308580c rdf:first N8381c39e38ad481087edb160e530d4b5
81 rdf:rest Nc7e8be7105c848858a70ffa9b2c33edc
82 N7de2352e1bc94f43819cda7c76dd621d rdf:first N2b45a426e0724890acd06f880284fef2
83 rdf:rest N77d695897c3e4570acf6178fac275783
84 N811bccf713bd4d23803e79f467e9cab7 schema:affiliation https://www.grid.ac/institutes/grid.205975.c
85 schema:familyName Nichols
86 schema:givenName Ruth V
87 rdf:type schema:Person
88 N8381c39e38ad481087edb160e530d4b5 schema:familyName Heintzman
89 schema:givenName Peter D.
90 rdf:type schema:Person
91 N8bce647fc4fb405baebc99db6ac911f2 schema:familyName Soares
92 schema:givenName André E. R.
93 rdf:type schema:Person
94 N8ed8ca498a6c44e0b6d06ea06a696529 schema:name Springer Nature - SN SciGraph project
95 rdf:type schema:Organization
96 N9281e57ad8e2403ba75713b868e4b2a6 schema:name pubmed_id
97 schema:value 30875053
98 rdf:type schema:PropertyValue
99 Nae7498a07849449c9f1e57db046ba9c6 rdf:first N69c1b7b1e673400693fd1eeaa65ad736
100 rdf:rest N32db752d21c24824ad524b3bf1301345
101 Nc7e8be7105c848858a70ffa9b2c33edc rdf:first Nf3ae3c9c49024ecba3aa7931d9945ad7
102 rdf:rest Nae7498a07849449c9f1e57db046ba9c6
103 Nd097789a313c4a7f8f87688217751403 schema:familyName Shapiro
104 schema:givenName Beth
105 rdf:type schema:Person
106 Ndd2b2c1abb2e4767be0ecbbac7b78251 rdf:first Nf60d253ed6e240eb8e59b6ea7b1f8e59
107 rdf:rest N7b3cc60219ec4cfcbe8c5762f308580c
108 Ndffa3c6526994193988c17ef28cae31b schema:isbn 978-1-4939-9175-4
109 978-1-4939-9176-1
110 schema:name Ancient DNA
111 rdf:type schema:Book
112 Ne6e3642bfdf346d6838466b96960feee schema:affiliation https://www.grid.ac/institutes/grid.19006.3e
113 schema:familyName Curd
114 schema:givenName Emily
115 rdf:type schema:Person
116 Nf3ae3c9c49024ecba3aa7931d9945ad7 schema:familyName Hofreiter
117 schema:givenName Michael
118 rdf:type schema:Person
119 Nf60d253ed6e240eb8e59b6ea7b1f8e59 schema:familyName Barlow
120 schema:givenName Axel
121 rdf:type schema:Person
122 Nfd8af270c70c472d84c11cd4dc4cfbb3 rdf:first Ne6e3642bfdf346d6838466b96960feee
123 rdf:rest N7de2352e1bc94f43819cda7c76dd621d
124 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
125 schema:name Biological Sciences
126 rdf:type schema:DefinedTerm
127 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
128 schema:name Genetics
129 rdf:type schema:DefinedTerm
130 sg:pub.10.1038/nature19085 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011523918
131 https://doi.org/10.1038/nature19085
132 rdf:type schema:CreativeWork
133 sg:pub.10.1038/ncomms13389 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046546920
134 https://doi.org/10.1038/ncomms13389
135 rdf:type schema:CreativeWork
136 sg:pub.10.1038/ncomms4211 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025883621
137 https://doi.org/10.1038/ncomms4211
138 rdf:type schema:CreativeWork
139 sg:pub.10.1186/1742-9994-6-16 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037907561
140 https://doi.org/10.1186/1742-9994-6-16
141 rdf:type schema:CreativeWork
142 https://doi.org/10.1016/j.tree.2014.04.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052813286
143 rdf:type schema:CreativeWork
144 https://doi.org/10.1073/pnas.1604903113 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045399751
145 rdf:type schema:CreativeWork
146 https://doi.org/10.1093/nar/gkl938 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017189270
147 rdf:type schema:CreativeWork
148 https://doi.org/10.1093/nar/gkr732 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012329294
149 rdf:type schema:CreativeWork
150 https://doi.org/10.1093/oxfordjournals.molbev.a025566 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038912861
151 rdf:type schema:CreativeWork
152 https://doi.org/10.1101/gr.128124.111 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041123660
153 rdf:type schema:CreativeWork
154 https://doi.org/10.1111/1755-0998.12402 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008593461
155 rdf:type schema:CreativeWork
156 https://doi.org/10.1111/1755-0998.12895 schema:sameAs https://app.dimensions.ai/details/publication/pub.1104161192
157 rdf:type schema:CreativeWork
158 https://doi.org/10.1111/j.1365-294x.2011.05306.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1027299560
159 rdf:type schema:CreativeWork
160 https://doi.org/10.1111/j.1365-294x.2011.05407.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1004559485
161 rdf:type schema:CreativeWork
162 https://doi.org/10.1111/j.1365-294x.2012.05537.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1028799869
163 rdf:type schema:CreativeWork
164 https://doi.org/10.1111/j.1755-0998.2010.02855.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1028244976
165 rdf:type schema:CreativeWork
166 https://doi.org/10.1111/j.1755-0998.2012.03172.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1039816602
167 rdf:type schema:CreativeWork
168 https://doi.org/10.1111/j.1755-263x.2010.00158.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1050448133
169 rdf:type schema:CreativeWork
170 https://doi.org/10.1111/mec.13428 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046457524
171 rdf:type schema:CreativeWork
172 https://doi.org/10.1111/mec.13549 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004480259
173 rdf:type schema:CreativeWork
174 https://doi.org/10.1126/science.1141758 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062455979
175 rdf:type schema:CreativeWork
176 https://doi.org/10.1126/science.aam9695 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085284331
177 rdf:type schema:CreativeWork
178 https://doi.org/10.1371/journal.pone.0083761 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024976060
179 rdf:type schema:CreativeWork
180 https://doi.org/10.1371/journal.pone.0165259 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022452570
181 rdf:type schema:CreativeWork
182 https://doi.org/10.3390/genes8060169 schema:sameAs https://app.dimensions.ai/details/publication/pub.1086108120
183 rdf:type schema:CreativeWork
184 https://www.grid.ac/institutes/grid.10919.30 schema:alternateName The Arctic University of Norway
185 schema:name Tromsø University Museum, UiT-The Arctic University of Norway, Tromsø, Norway.
186 rdf:type schema:Organization
187 https://www.grid.ac/institutes/grid.19006.3e schema:alternateName University of California Los Angeles
188 schema:name Department of Ecology and Evolutionary Biology, University of California Los Angeles, Los Angeles, CA, USA.
189 rdf:type schema:Organization
190 https://www.grid.ac/institutes/grid.205975.c schema:alternateName University of California, Santa Cruz
191 schema:name Department of Ecology and Evolutionary Biology, University of California Santa Cruz, Santa Cruz, CA, USA.
192 Department of Ecology and Evolutionary Biology, University of California Santa Cruz, Santa Cruz, CA, USA. bashapir@ucsc.edu.
193 rdf:type schema:Organization
 




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


...