The allometry of the smallest: superlinear scaling of microbial metabolic rates in the Atlantic Ocean View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2015-12-04

AUTHORS

Francisca C García, Enma Elena García-Martín, Fernando González Taboada, Sofía Sal, Pablo Serret, Ángel López-Urrutia

ABSTRACT

Prokaryotic planktonic organisms are small in size but largely relevant in marine biogeochemical cycles. Due to their reduced size range (0.2 to 1 μm in diameter), the effects of cell size on their metabolism have been hardly considered and are usually not examined in field studies. Here, we show the results of size-fractionated experiments of marine microbial respiration rate along a latitudinal transect in the Atlantic Ocean. The scaling exponents obtained from the power relationship between respiration rate and size were significantly higher than one. This superlinearity was ubiquitous across the latitudinal transect but its value was not universal revealing a strong albeit heterogeneous effect of cell size on microbial metabolism. Our results suggest that the latitudinal differences observed are the combined result of changes in cell size and composition between functional groups within prokaryotes. Communities where the largest size fraction was dominated by prokaryotic cyanobacteria, especially Prochlorococcus, have lower allometric exponents. We hypothesize that these larger, more complex prokaryotes fall close to the evolutionary transition between prokaryotes and protists, in a range where surface area starts to constrain metabolism and, hence, are expected to follow a scaling closer to linearity. More... »

PAGES

1029-1036

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/ismej.2015.203

DOI

http://dx.doi.org/10.1038/ismej.2015.203

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1005742383

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/26636550


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/2008/06", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Biological Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0605", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Microbiology", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Atlantic Ocean", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Bacteria", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Plankton", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Prochlorococcus", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Prokaryotic Cells", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Seawater", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Centro Oceanogr\u00e1fico de Gij\u00f3n, Instituto Espa\u00f1ol de Oceanograf\u00eda, Gij\u00f3n, Spain", 
          "id": "http://www.grid.ac/institutes/grid.410389.7", 
          "name": [
            "Centro Oceanogr\u00e1fico de Gij\u00f3n, Instituto Espa\u00f1ol de Oceanograf\u00eda, Gij\u00f3n, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Garc\u00eda", 
        "givenName": "Francisca C", 
        "id": "sg:person.01310760561.47", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01310760561.47"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "5Present address: School of Environmental Science, University of East Anglia, Norwich Research Park, Norwich NR4 7TJ, UK.", 
          "id": "http://www.grid.ac/institutes/grid.8273.e", 
          "name": [
            "Departamento de Ecolog\u00eda y Biolog\u00eda Animal, Universidad de Vigo, Carretera Colegio Universitario, Vigo, Spain", 
            "5Present address: School of Environmental Science, University of East Anglia, Norwich Research Park, Norwich NR4 7TJ, UK."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Garc\u00eda-Mart\u00edn", 
        "givenName": "Enma Elena", 
        "id": "sg:person.0663641101.68", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0663641101.68"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Departamento de Biolog\u00eda de Organismos y Sistemas, Universidad de Oviedo, Oviedo, Vigo, Spain", 
          "id": "http://www.grid.ac/institutes/grid.10863.3c", 
          "name": [
            "Departamento de Biolog\u00eda de Organismos y Sistemas, Universidad de Oviedo, Oviedo, Vigo, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Taboada", 
        "givenName": "Fernando Gonz\u00e1lez", 
        "id": "sg:person.013223336455.43", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013223336455.43"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "6Present address: Department of Life Sciences, Imperial College London, Silwood Park, Ascot, Berkshire SL5 7PY, UK.", 
          "id": "http://www.grid.ac/institutes/grid.7445.2", 
          "name": [
            "Centro Oceanogr\u00e1fico de Gij\u00f3n, Instituto Espa\u00f1ol de Oceanograf\u00eda, Gij\u00f3n, Spain", 
            "6Present address: Department of Life Sciences, Imperial College London, Silwood Park, Ascot, Berkshire SL5 7PY, UK."
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sal", 
        "givenName": "Sof\u00eda", 
        "id": "sg:person.015001605721.63", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015001605721.63"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Estaci\u00f3n de Ciencias Marinas de Toralla, Universidad de Vigo, Toralla Island, Vigo, Spain", 
          "id": "http://www.grid.ac/institutes/grid.6312.6", 
          "name": [
            "Departamento de Ecolog\u00eda y Biolog\u00eda Animal, Universidad de Vigo, Carretera Colegio Universitario, Vigo, Spain", 
            "Estaci\u00f3n de Ciencias Marinas de Toralla, Universidad de Vigo, Toralla Island, Vigo, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Serret", 
        "givenName": "Pablo", 
        "id": "sg:person.014471420131.25", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014471420131.25"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Centro Oceanogr\u00e1fico de Gij\u00f3n, Instituto Espa\u00f1ol de Oceanograf\u00eda, Gij\u00f3n, Spain", 
          "id": "http://www.grid.ac/institutes/grid.410389.7", 
          "name": [
            "Centro Oceanogr\u00e1fico de Gij\u00f3n, Instituto Espa\u00f1ol de Oceanograf\u00eda, Gij\u00f3n, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "L\u00f3pez-Urrutia", 
        "givenName": "\u00c1ngel", 
        "id": "sg:person.0777376615.02", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0777376615.02"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1038/417070a", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027755918", 
          "https://doi.org/10.1038/417070a"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/b:orig.0000009844.90540.52", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010229350", 
          "https://doi.org/10.1023/b:orig.0000009844.90540.52"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2105-10-106", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019096696", 
          "https://doi.org/10.1186/1471-2105-10-106"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ncomms4776", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019064053", 
          "https://doi.org/10.1038/ncomms4776"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature01671", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041684651", 
          "https://doi.org/10.1038/nature01671"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/416697a", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021939416", 
          "https://doi.org/10.1038/416697a"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/gb-2006-7-9-116", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037549131", 
          "https://doi.org/10.1186/gb-2006-7-9-116"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature04158", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019718137", 
          "https://doi.org/10.1038/nature04158"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature01165", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008007474", 
          "https://doi.org/10.1038/nature01165"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrmicro1023", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046774154", 
          "https://doi.org/10.1038/nrmicro1023"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2015-12-04", 
    "datePublishedReg": "2015-12-04", 
    "description": "Prokaryotic planktonic organisms are small in size but largely relevant in marine biogeochemical cycles. Due to their reduced size range (0.2 to 1\u2009\u03bcm in diameter), the effects of cell size on their metabolism have been hardly considered and are usually not examined in field studies. Here, we show the results of size-fractionated experiments of marine microbial respiration rate along a latitudinal transect in the Atlantic Ocean. The scaling exponents obtained from the power relationship between respiration rate and size were significantly higher than one. This superlinearity was ubiquitous across the latitudinal transect but its value was not universal revealing a strong albeit heterogeneous effect of cell size on microbial metabolism. Our results suggest that the latitudinal differences observed are the combined result of changes in cell size and composition between functional groups within prokaryotes. Communities where the largest size fraction was dominated by prokaryotic cyanobacteria, especially Prochlorococcus, have lower allometric exponents. We hypothesize that these larger, more complex prokaryotes fall close to the evolutionary transition between prokaryotes and protists, in a range where surface area starts to constrain metabolism and, hence, are expected to follow a scaling closer to linearity.", 
    "genre": "article", 
    "id": "sg:pub.10.1038/ismej.2015.203", 
    "inLanguage": "en", 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1038436", 
        "issn": [
          "1751-7362", 
          "1751-7370"
        ], 
        "name": "The ISME Journal: Multidisciplinary Journal of Microbial Ecology", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "5", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "10"
      }
    ], 
    "keywords": [
      "latitudinal transect", 
      "cell size", 
      "microbial respiration rates", 
      "microbial metabolic rates", 
      "prokaryotic cyanobacteria", 
      "marine biogeochemical cycles", 
      "respiration rate", 
      "evolutionary transitions", 
      "complex prokaryotes", 
      "planktonic organisms", 
      "prokaryotes", 
      "microbial metabolism", 
      "biogeochemical cycles", 
      "latitudinal differences", 
      "Atlantic Ocean", 
      "larger size fractions", 
      "allometric exponents", 
      "metabolism", 
      "metabolic rate", 
      "transects", 
      "protists", 
      "cyanobacteria", 
      "Prochlorococcus", 
      "field study", 
      "organisms", 
      "result of changes", 
      "allometry", 
      "Ocean", 
      "functional groups", 
      "size range", 
      "size", 
      "community", 
      "cycle", 
      "size fractions", 
      "composition", 
      "effect", 
      "results", 
      "changes", 
      "rate", 
      "range", 
      "fraction", 
      "experiments", 
      "relationship", 
      "study", 
      "differences", 
      "transition", 
      "area", 
      "group", 
      "scaling", 
      "surface area", 
      "heterogeneous effects", 
      "values", 
      "superlinear scaling", 
      "exponent", 
      "power relationships", 
      "linearity", 
      "superlinearity"
    ], 
    "name": "The allometry of the smallest: superlinear scaling of microbial metabolic rates in the Atlantic Ocean", 
    "pagination": "1029-1036", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1005742383"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/ismej.2015.203"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "26636550"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/ismej.2015.203", 
      "https://app.dimensions.ai/details/publication/pub.1005742383"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-05-20T07:30", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220519/entities/gbq_results/article/article_646.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1038/ismej.2015.203"
  }
]
 

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/ismej.2015.203'

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/ismej.2015.203'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/ismej.2015.203'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/ismej.2015.203'


 

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

233 TRIPLES      22 PREDICATES      99 URIs      81 LITERALS      13 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/ismej.2015.203 schema:about N12f65b3001fa488a8f6d4099df489ae8
2 N2e4be7e1ccb5472b9697b0167230dbef
3 N7173ecc3d50e41478b48f4c4291b9750
4 Nc9573c67dffc4b8a87a01b9f8dcf89ab
5 Nd9fa9f286b0d4932bf3ace8079b97501
6 Neb78d8a94bf6489a9ec17c49dbcbd45e
7 anzsrc-for:06
8 anzsrc-for:0605
9 schema:author Naa16e7f50d2d45b09a6348bf50e8ef93
10 schema:citation sg:pub.10.1023/b:orig.0000009844.90540.52
11 sg:pub.10.1038/416697a
12 sg:pub.10.1038/417070a
13 sg:pub.10.1038/nature01165
14 sg:pub.10.1038/nature01671
15 sg:pub.10.1038/nature04158
16 sg:pub.10.1038/ncomms4776
17 sg:pub.10.1038/nrmicro1023
18 sg:pub.10.1186/1471-2105-10-106
19 sg:pub.10.1186/gb-2006-7-9-116
20 schema:datePublished 2015-12-04
21 schema:datePublishedReg 2015-12-04
22 schema:description Prokaryotic planktonic organisms are small in size but largely relevant in marine biogeochemical cycles. Due to their reduced size range (0.2 to 1 μm in diameter), the effects of cell size on their metabolism have been hardly considered and are usually not examined in field studies. Here, we show the results of size-fractionated experiments of marine microbial respiration rate along a latitudinal transect in the Atlantic Ocean. The scaling exponents obtained from the power relationship between respiration rate and size were significantly higher than one. This superlinearity was ubiquitous across the latitudinal transect but its value was not universal revealing a strong albeit heterogeneous effect of cell size on microbial metabolism. Our results suggest that the latitudinal differences observed are the combined result of changes in cell size and composition between functional groups within prokaryotes. Communities where the largest size fraction was dominated by prokaryotic cyanobacteria, especially Prochlorococcus, have lower allometric exponents. We hypothesize that these larger, more complex prokaryotes fall close to the evolutionary transition between prokaryotes and protists, in a range where surface area starts to constrain metabolism and, hence, are expected to follow a scaling closer to linearity.
23 schema:genre article
24 schema:inLanguage en
25 schema:isAccessibleForFree true
26 schema:isPartOf N0629ca2d1e5f42958b8d6a0a262f6196
27 N390b0ca0b8034f05ad14de5b76e07e39
28 sg:journal.1038436
29 schema:keywords Atlantic Ocean
30 Ocean
31 Prochlorococcus
32 allometric exponents
33 allometry
34 area
35 biogeochemical cycles
36 cell size
37 changes
38 community
39 complex prokaryotes
40 composition
41 cyanobacteria
42 cycle
43 differences
44 effect
45 evolutionary transitions
46 experiments
47 exponent
48 field study
49 fraction
50 functional groups
51 group
52 heterogeneous effects
53 larger size fractions
54 latitudinal differences
55 latitudinal transect
56 linearity
57 marine biogeochemical cycles
58 metabolic rate
59 metabolism
60 microbial metabolic rates
61 microbial metabolism
62 microbial respiration rates
63 organisms
64 planktonic organisms
65 power relationships
66 prokaryotes
67 prokaryotic cyanobacteria
68 protists
69 range
70 rate
71 relationship
72 respiration rate
73 result of changes
74 results
75 scaling
76 size
77 size fractions
78 size range
79 study
80 superlinear scaling
81 superlinearity
82 surface area
83 transects
84 transition
85 values
86 schema:name The allometry of the smallest: superlinear scaling of microbial metabolic rates in the Atlantic Ocean
87 schema:pagination 1029-1036
88 schema:productId N12f3fb46b93243daa33dd7a006cf8b67
89 N8089e0de3fe247bc9dc7d04814570974
90 Nffd28779801e4555b3ede39e6f48879e
91 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005742383
92 https://doi.org/10.1038/ismej.2015.203
93 schema:sdDatePublished 2022-05-20T07:30
94 schema:sdLicense https://scigraph.springernature.com/explorer/license/
95 schema:sdPublisher N4524902c5ac747a19fd7dc194593e025
96 schema:url https://doi.org/10.1038/ismej.2015.203
97 sgo:license sg:explorer/license/
98 sgo:sdDataset articles
99 rdf:type schema:ScholarlyArticle
100 N0629ca2d1e5f42958b8d6a0a262f6196 schema:volumeNumber 10
101 rdf:type schema:PublicationVolume
102 N12c44a15f4b945719df6e710c2077d8c rdf:first sg:person.013223336455.43
103 rdf:rest N39832814fd36458780b9edfea3359967
104 N12f3fb46b93243daa33dd7a006cf8b67 schema:name doi
105 schema:value 10.1038/ismej.2015.203
106 rdf:type schema:PropertyValue
107 N12f65b3001fa488a8f6d4099df489ae8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
108 schema:name Prokaryotic Cells
109 rdf:type schema:DefinedTerm
110 N25651aafacd14a2e81cd6dc46cf7e984 rdf:first sg:person.014471420131.25
111 rdf:rest Nfdfffacd7c4f46af906fd2acaf7f6f2e
112 N2e4be7e1ccb5472b9697b0167230dbef schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
113 schema:name Prochlorococcus
114 rdf:type schema:DefinedTerm
115 N390b0ca0b8034f05ad14de5b76e07e39 schema:issueNumber 5
116 rdf:type schema:PublicationIssue
117 N39832814fd36458780b9edfea3359967 rdf:first sg:person.015001605721.63
118 rdf:rest N25651aafacd14a2e81cd6dc46cf7e984
119 N4524902c5ac747a19fd7dc194593e025 schema:name Springer Nature - SN SciGraph project
120 rdf:type schema:Organization
121 N7173ecc3d50e41478b48f4c4291b9750 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
122 schema:name Plankton
123 rdf:type schema:DefinedTerm
124 N8089e0de3fe247bc9dc7d04814570974 schema:name pubmed_id
125 schema:value 26636550
126 rdf:type schema:PropertyValue
127 N82a1bc7e09ec48bb98af58c547514325 rdf:first sg:person.0663641101.68
128 rdf:rest N12c44a15f4b945719df6e710c2077d8c
129 Naa16e7f50d2d45b09a6348bf50e8ef93 rdf:first sg:person.01310760561.47
130 rdf:rest N82a1bc7e09ec48bb98af58c547514325
131 Nc9573c67dffc4b8a87a01b9f8dcf89ab schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
132 schema:name Atlantic Ocean
133 rdf:type schema:DefinedTerm
134 Nd9fa9f286b0d4932bf3ace8079b97501 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
135 schema:name Bacteria
136 rdf:type schema:DefinedTerm
137 Neb78d8a94bf6489a9ec17c49dbcbd45e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
138 schema:name Seawater
139 rdf:type schema:DefinedTerm
140 Nfdfffacd7c4f46af906fd2acaf7f6f2e rdf:first sg:person.0777376615.02
141 rdf:rest rdf:nil
142 Nffd28779801e4555b3ede39e6f48879e schema:name dimensions_id
143 schema:value pub.1005742383
144 rdf:type schema:PropertyValue
145 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
146 schema:name Biological Sciences
147 rdf:type schema:DefinedTerm
148 anzsrc-for:0605 schema:inDefinedTermSet anzsrc-for:
149 schema:name Microbiology
150 rdf:type schema:DefinedTerm
151 sg:journal.1038436 schema:issn 1751-7362
152 1751-7370
153 schema:name The ISME Journal: Multidisciplinary Journal of Microbial Ecology
154 schema:publisher Springer Nature
155 rdf:type schema:Periodical
156 sg:person.01310760561.47 schema:affiliation grid-institutes:grid.410389.7
157 schema:familyName García
158 schema:givenName Francisca C
159 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01310760561.47
160 rdf:type schema:Person
161 sg:person.013223336455.43 schema:affiliation grid-institutes:grid.10863.3c
162 schema:familyName Taboada
163 schema:givenName Fernando González
164 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013223336455.43
165 rdf:type schema:Person
166 sg:person.014471420131.25 schema:affiliation grid-institutes:grid.6312.6
167 schema:familyName Serret
168 schema:givenName Pablo
169 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014471420131.25
170 rdf:type schema:Person
171 sg:person.015001605721.63 schema:affiliation grid-institutes:grid.7445.2
172 schema:familyName Sal
173 schema:givenName Sofía
174 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015001605721.63
175 rdf:type schema:Person
176 sg:person.0663641101.68 schema:affiliation grid-institutes:grid.8273.e
177 schema:familyName García-Martín
178 schema:givenName Enma Elena
179 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0663641101.68
180 rdf:type schema:Person
181 sg:person.0777376615.02 schema:affiliation grid-institutes:grid.410389.7
182 schema:familyName López-Urrutia
183 schema:givenName Ángel
184 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0777376615.02
185 rdf:type schema:Person
186 sg:pub.10.1023/b:orig.0000009844.90540.52 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010229350
187 https://doi.org/10.1023/b:orig.0000009844.90540.52
188 rdf:type schema:CreativeWork
189 sg:pub.10.1038/416697a schema:sameAs https://app.dimensions.ai/details/publication/pub.1021939416
190 https://doi.org/10.1038/416697a
191 rdf:type schema:CreativeWork
192 sg:pub.10.1038/417070a schema:sameAs https://app.dimensions.ai/details/publication/pub.1027755918
193 https://doi.org/10.1038/417070a
194 rdf:type schema:CreativeWork
195 sg:pub.10.1038/nature01165 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008007474
196 https://doi.org/10.1038/nature01165
197 rdf:type schema:CreativeWork
198 sg:pub.10.1038/nature01671 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041684651
199 https://doi.org/10.1038/nature01671
200 rdf:type schema:CreativeWork
201 sg:pub.10.1038/nature04158 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019718137
202 https://doi.org/10.1038/nature04158
203 rdf:type schema:CreativeWork
204 sg:pub.10.1038/ncomms4776 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019064053
205 https://doi.org/10.1038/ncomms4776
206 rdf:type schema:CreativeWork
207 sg:pub.10.1038/nrmicro1023 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046774154
208 https://doi.org/10.1038/nrmicro1023
209 rdf:type schema:CreativeWork
210 sg:pub.10.1186/1471-2105-10-106 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019096696
211 https://doi.org/10.1186/1471-2105-10-106
212 rdf:type schema:CreativeWork
213 sg:pub.10.1186/gb-2006-7-9-116 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037549131
214 https://doi.org/10.1186/gb-2006-7-9-116
215 rdf:type schema:CreativeWork
216 grid-institutes:grid.10863.3c schema:alternateName Departamento de Biología de Organismos y Sistemas, Universidad de Oviedo, Oviedo, Vigo, Spain
217 schema:name Departamento de Biología de Organismos y Sistemas, Universidad de Oviedo, Oviedo, Vigo, Spain
218 rdf:type schema:Organization
219 grid-institutes:grid.410389.7 schema:alternateName Centro Oceanográfico de Gijón, Instituto Español de Oceanografía, Gijón, Spain
220 schema:name Centro Oceanográfico de Gijón, Instituto Español de Oceanografía, Gijón, Spain
221 rdf:type schema:Organization
222 grid-institutes:grid.6312.6 schema:alternateName Estación de Ciencias Marinas de Toralla, Universidad de Vigo, Toralla Island, Vigo, Spain
223 schema:name Departamento de Ecología y Biología Animal, Universidad de Vigo, Carretera Colegio Universitario, Vigo, Spain
224 Estación de Ciencias Marinas de Toralla, Universidad de Vigo, Toralla Island, Vigo, Spain
225 rdf:type schema:Organization
226 grid-institutes:grid.7445.2 schema:alternateName 6Present address: Department of Life Sciences, Imperial College London, Silwood Park, Ascot, Berkshire SL5 7PY, UK.
227 schema:name 6Present address: Department of Life Sciences, Imperial College London, Silwood Park, Ascot, Berkshire SL5 7PY, UK.
228 Centro Oceanográfico de Gijón, Instituto Español de Oceanografía, Gijón, Spain
229 rdf:type schema:Organization
230 grid-institutes:grid.8273.e schema:alternateName 5Present address: School of Environmental Science, University of East Anglia, Norwich Research Park, Norwich NR4 7TJ, UK.
231 schema:name 5Present address: School of Environmental Science, University of East Anglia, Norwich Research Park, Norwich NR4 7TJ, UK.
232 Departamento de Ecología y Biología Animal, Universidad de Vigo, Carretera Colegio Universitario, Vigo, Spain
233 rdf:type schema:Organization
 




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


...