Ontology type: schema:ScholarlyArticle
1988-10
AUTHORSE. Ottaviano, M. Sari-Gorla, M. Villa
ABSTRACTMale gametophytic selection can play a special role in the evolution of higher plant populations. The main assumption — gametophytic-sporophytic gene expression of a large portion of a plant's genes — has been proven by a number of studies. Population analyses have revealed a large amount of variability for male gametophytic fitness. However, the data available do not prove that at least a portion of this variability is due to postmeiotic gene expression. This paper reports the analysis of a synthetic population of maize based on a gametophytic selection experiment, carried out according to a recurrent scheme. After two cycles of selection, the response was evaluated for gametophytic and sporophytic traits. A parameter representing pollen viability and time to germination, although showing a large amount of genetic variability, was not affected by gametophytic selection, indicating that this variability is largely sporophytically controlled. Pollen tube growth rate was significantly affected by gametophytic selection: 21.6% of the genetical variability was released by selection. Correlated response for sporophytic traits was observed for mean kernel weight: 15.67% of the variability was released. The results are a direct demonstration that pollen competitive ability due to pollen tube growth rate and kernel development are controlled, to a considerable extent, by genes expressed in both tissues. They also indicate that gametophytic selection in higher plants can produce a higher evolution rate than sporophytic selection; it can thus serve to regulate the amount of genetic variability in the populations by removing a large amount of the genetic load produced by recombination. More... »
PAGES601-608
http://scigraph.springernature.com/pub.10.1007/bf00260915
DOIhttp://dx.doi.org/10.1007/bf00260915
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1016545252
PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/24232283
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/2008/0604",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Genetics",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"alternateName": "Dipartimento di Genetica e di Biologia dei Microrganismi, Universit\u00e0 di Milano, Via Celoria 26, I-20133, Milano, Italy",
"id": "http://www.grid.ac/institutes/grid.4708.b",
"name": [
"Dipartimento di Genetica e di Biologia dei Microrganismi, Universit\u00e0 di Milano, Via Celoria 26, I-20133, Milano, Italy"
],
"type": "Organization"
},
"familyName": "Ottaviano",
"givenName": "E.",
"id": "sg:person.0651750517.40",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0651750517.40"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Dipartimento di Genetica e di Biologia dei Microrganismi, Universit\u00e0 di Milano, Via Celoria 26, I-20133, Milano, Italy",
"id": "http://www.grid.ac/institutes/grid.4708.b",
"name": [
"Dipartimento di Genetica e di Biologia dei Microrganismi, Universit\u00e0 di Milano, Via Celoria 26, I-20133, Milano, Italy"
],
"type": "Organization"
},
"familyName": "Sari-Gorla",
"givenName": "M.",
"id": "sg:person.0577233307.74",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0577233307.74"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Dipartimento di Genetica e di Biologia dei Microrganismi, Universit\u00e0 di Milano, Via Celoria 26, I-20133, Milano, Italy",
"id": "http://www.grid.ac/institutes/grid.4708.b",
"name": [
"Dipartimento di Genetica e di Biologia dei Microrganismi, Universit\u00e0 di Milano, Via Celoria 26, I-20133, Milano, Italy"
],
"type": "Organization"
},
"familyName": "Villa",
"givenName": "M.",
"id": "sg:person.010042050405.22",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010042050405.22"
],
"type": "Person"
}
],
"citation": [
{
"id": "sg:pub.10.1007/bf00267885",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1050116115",
"https://doi.org/10.1007/bf00267885"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf00303961",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1000533289",
"https://doi.org/10.1007/bf00303961"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf00265501",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1078818539",
"https://doi.org/10.1007/bf00265501"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf02984069",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1051891442",
"https://doi.org/10.1007/bf02984069"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf00273767",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1041420874",
"https://doi.org/10.1007/bf00273767"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf00281151",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1078840883",
"https://doi.org/10.1007/bf00281151"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf02860839",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1049889395",
"https://doi.org/10.1007/bf02860839"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf00261452",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1050118742",
"https://doi.org/10.1007/bf00261452"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/249491a0",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1004286939",
"https://doi.org/10.1038/249491a0"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf00281320",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1078824778",
"https://doi.org/10.1007/bf00281320"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf00304004",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1018838513",
"https://doi.org/10.1007/bf00304004"
],
"type": "CreativeWork"
}
],
"datePublished": "1988-10",
"datePublishedReg": "1988-10-01",
"description": "Male gametophytic selection can play a special role in the evolution of higher plant populations. The main assumption \u2014 gametophytic-sporophytic gene expression of a large portion of a plant's genes \u2014 has been proven by a number of studies. Population analyses have revealed a large amount of variability for male gametophytic fitness. However, the data available do not prove that at least a portion of this variability is due to postmeiotic gene expression. This paper reports the analysis of a synthetic population of maize based on a gametophytic selection experiment, carried out according to a recurrent scheme. After two cycles of selection, the response was evaluated for gametophytic and sporophytic traits. A parameter representing pollen viability and time to germination, although showing a large amount of genetic variability, was not affected by gametophytic selection, indicating that this variability is largely sporophytically controlled. Pollen tube growth rate was significantly affected by gametophytic selection: 21.6% of the genetical variability was released by selection. Correlated response for sporophytic traits was observed for mean kernel weight: 15.67% of the variability was released. The results are a direct demonstration that pollen competitive ability due to pollen tube growth rate and kernel development are controlled, to a considerable extent, by genes expressed in both tissues. They also indicate that gametophytic selection in higher plants can produce a higher evolution rate than sporophytic selection; it can thus serve to regulate the amount of genetic variability in the populations by removing a large amount of the genetic load produced by recombination.",
"genre": "article",
"id": "sg:pub.10.1007/bf00260915",
"inLanguage": "en",
"isAccessibleForFree": false,
"isPartOf": [
{
"id": "sg:journal.1135804",
"issn": [
"0040-5752",
"1432-2242"
],
"name": "Theoretical and Applied Genetics",
"publisher": "Springer Nature",
"type": "Periodical"
},
{
"issueNumber": "4",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "76"
}
],
"keywords": [
"gametophytic selection",
"pollen tube growth rate",
"tube growth rate",
"sporophytic traits",
"genetic variability",
"competitive ability",
"gene expression",
"male gametophytic selection",
"postmeiotic gene expression",
"pollen competitive ability",
"higher plant populations",
"cycles of selection",
"plant genes",
"high evolution rate",
"higher plants",
"plant populations",
"genetic load",
"genetical variability",
"sporophytic selection",
"mean kernel weight",
"pollen viability",
"selection experiments",
"growth rate",
"population variability",
"genes",
"correlated response",
"kernel development",
"kernel weight",
"traits",
"maize",
"direct demonstration",
"synthetic population",
"expression",
"recurrent scheme",
"evolution rate",
"selection",
"large amount",
"plants",
"number of studies",
"population",
"fitness",
"population analysis",
"recombination",
"large portion",
"variability",
"response",
"viability",
"ability",
"portion",
"evolution",
"tissue",
"role",
"special role",
"amount",
"analysis",
"cycle",
"considerable extent",
"development",
"rate",
"number",
"extent",
"experiments",
"demonstration",
"weight",
"study",
"data",
"results",
"time",
"parameters",
"load",
"scheme",
"paper"
],
"name": "Pollen competitive ability in maize: within population variability and response to selection",
"pagination": "601-608",
"productId": [
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1016545252"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1007/bf00260915"
]
},
{
"name": "pubmed_id",
"type": "PropertyValue",
"value": [
"24232283"
]
}
],
"sameAs": [
"https://doi.org/10.1007/bf00260915",
"https://app.dimensions.ai/details/publication/pub.1016545252"
],
"sdDataset": "articles",
"sdDatePublished": "2022-05-20T07:18",
"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_194.jsonl",
"type": "ScholarlyArticle",
"url": "https://doi.org/10.1007/bf00260915"
}
]
Download the RDF metadata as: json-ld nt turtle xml License info
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/bf00260915'
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/bf00260915'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/bf00260915'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/bf00260915'
This table displays all metadata directly associated to this object as RDF triples.
192 TRIPLES
22 PREDICATES
110 URIs
91 LITERALS
7 BLANK NODES
Subject | Predicate | Object | |
---|---|---|---|
1 | sg:pub.10.1007/bf00260915 | schema:about | anzsrc-for:06 |
2 | ″ | ″ | anzsrc-for:0604 |
3 | ″ | schema:author | Nd35ebacf683745aca71722c003a427f2 |
4 | ″ | schema:citation | sg:pub.10.1007/bf00261452 |
5 | ″ | ″ | sg:pub.10.1007/bf00265501 |
6 | ″ | ″ | sg:pub.10.1007/bf00267885 |
7 | ″ | ″ | sg:pub.10.1007/bf00273767 |
8 | ″ | ″ | sg:pub.10.1007/bf00281151 |
9 | ″ | ″ | sg:pub.10.1007/bf00281320 |
10 | ″ | ″ | sg:pub.10.1007/bf00303961 |
11 | ″ | ″ | sg:pub.10.1007/bf00304004 |
12 | ″ | ″ | sg:pub.10.1007/bf02860839 |
13 | ″ | ″ | sg:pub.10.1007/bf02984069 |
14 | ″ | ″ | sg:pub.10.1038/249491a0 |
15 | ″ | schema:datePublished | 1988-10 |
16 | ″ | schema:datePublishedReg | 1988-10-01 |
17 | ″ | schema:description | Male gametophytic selection can play a special role in the evolution of higher plant populations. The main assumption — gametophytic-sporophytic gene expression of a large portion of a plant's genes — has been proven by a number of studies. Population analyses have revealed a large amount of variability for male gametophytic fitness. However, the data available do not prove that at least a portion of this variability is due to postmeiotic gene expression. This paper reports the analysis of a synthetic population of maize based on a gametophytic selection experiment, carried out according to a recurrent scheme. After two cycles of selection, the response was evaluated for gametophytic and sporophytic traits. A parameter representing pollen viability and time to germination, although showing a large amount of genetic variability, was not affected by gametophytic selection, indicating that this variability is largely sporophytically controlled. Pollen tube growth rate was significantly affected by gametophytic selection: 21.6% of the genetical variability was released by selection. Correlated response for sporophytic traits was observed for mean kernel weight: 15.67% of the variability was released. The results are a direct demonstration that pollen competitive ability due to pollen tube growth rate and kernel development are controlled, to a considerable extent, by genes expressed in both tissues. They also indicate that gametophytic selection in higher plants can produce a higher evolution rate than sporophytic selection; it can thus serve to regulate the amount of genetic variability in the populations by removing a large amount of the genetic load produced by recombination. |
18 | ″ | schema:genre | article |
19 | ″ | schema:inLanguage | en |
20 | ″ | schema:isAccessibleForFree | false |
21 | ″ | schema:isPartOf | N721d5d48b11c459e891d70ca6fecb064 |
22 | ″ | ″ | Nbc797ce2d0984b67b738028abc3830b0 |
23 | ″ | ″ | sg:journal.1135804 |
24 | ″ | schema:keywords | ability |
25 | ″ | ″ | amount |
26 | ″ | ″ | analysis |
27 | ″ | ″ | competitive ability |
28 | ″ | ″ | considerable extent |
29 | ″ | ″ | correlated response |
30 | ″ | ″ | cycle |
31 | ″ | ″ | cycles of selection |
32 | ″ | ″ | data |
33 | ″ | ″ | demonstration |
34 | ″ | ″ | development |
35 | ″ | ″ | direct demonstration |
36 | ″ | ″ | evolution |
37 | ″ | ″ | evolution rate |
38 | ″ | ″ | experiments |
39 | ″ | ″ | expression |
40 | ″ | ″ | extent |
41 | ″ | ″ | fitness |
42 | ″ | ″ | gametophytic selection |
43 | ″ | ″ | gene expression |
44 | ″ | ″ | genes |
45 | ″ | ″ | genetic load |
46 | ″ | ″ | genetic variability |
47 | ″ | ″ | genetical variability |
48 | ″ | ″ | growth rate |
49 | ″ | ″ | high evolution rate |
50 | ″ | ″ | higher plant populations |
51 | ″ | ″ | higher plants |
52 | ″ | ″ | kernel development |
53 | ″ | ″ | kernel weight |
54 | ″ | ″ | large amount |
55 | ″ | ″ | large portion |
56 | ″ | ″ | load |
57 | ″ | ″ | maize |
58 | ″ | ″ | male gametophytic selection |
59 | ″ | ″ | mean kernel weight |
60 | ″ | ″ | number |
61 | ″ | ″ | number of studies |
62 | ″ | ″ | paper |
63 | ″ | ″ | parameters |
64 | ″ | ″ | plant genes |
65 | ″ | ″ | plant populations |
66 | ″ | ″ | plants |
67 | ″ | ″ | pollen competitive ability |
68 | ″ | ″ | pollen tube growth rate |
69 | ″ | ″ | pollen viability |
70 | ″ | ″ | population |
71 | ″ | ″ | population analysis |
72 | ″ | ″ | population variability |
73 | ″ | ″ | portion |
74 | ″ | ″ | postmeiotic gene expression |
75 | ″ | ″ | rate |
76 | ″ | ″ | recombination |
77 | ″ | ″ | recurrent scheme |
78 | ″ | ″ | response |
79 | ″ | ″ | results |
80 | ″ | ″ | role |
81 | ″ | ″ | scheme |
82 | ″ | ″ | selection |
83 | ″ | ″ | selection experiments |
84 | ″ | ″ | special role |
85 | ″ | ″ | sporophytic selection |
86 | ″ | ″ | sporophytic traits |
87 | ″ | ″ | study |
88 | ″ | ″ | synthetic population |
89 | ″ | ″ | time |
90 | ″ | ″ | tissue |
91 | ″ | ″ | traits |
92 | ″ | ″ | tube growth rate |
93 | ″ | ″ | variability |
94 | ″ | ″ | viability |
95 | ″ | ″ | weight |
96 | ″ | schema:name | Pollen competitive ability in maize: within population variability and response to selection |
97 | ″ | schema:pagination | 601-608 |
98 | ″ | schema:productId | N3cd89cde97294fedbc5a25facf9e90f4 |
99 | ″ | ″ | N4e24fc0f679743409ef2eaf48652a470 |
100 | ″ | ″ | N99a61891a59042d585bc3d848a35710b |
101 | ″ | schema:sameAs | https://app.dimensions.ai/details/publication/pub.1016545252 |
102 | ″ | ″ | https://doi.org/10.1007/bf00260915 |
103 | ″ | schema:sdDatePublished | 2022-05-20T07:18 |
104 | ″ | schema:sdLicense | https://scigraph.springernature.com/explorer/license/ |
105 | ″ | schema:sdPublisher | Nd33c5539691f4bac96df96c2101394a9 |
106 | ″ | schema:url | https://doi.org/10.1007/bf00260915 |
107 | ″ | sgo:license | sg:explorer/license/ |
108 | ″ | sgo:sdDataset | articles |
109 | ″ | rdf:type | schema:ScholarlyArticle |
110 | N3cd89cde97294fedbc5a25facf9e90f4 | schema:name | doi |
111 | ″ | schema:value | 10.1007/bf00260915 |
112 | ″ | rdf:type | schema:PropertyValue |
113 | N45a36ac735d24b5491b79d6b0c842f1b | rdf:first | sg:person.010042050405.22 |
114 | ″ | rdf:rest | rdf:nil |
115 | N4e24fc0f679743409ef2eaf48652a470 | schema:name | dimensions_id |
116 | ″ | schema:value | pub.1016545252 |
117 | ″ | rdf:type | schema:PropertyValue |
118 | N721d5d48b11c459e891d70ca6fecb064 | schema:volumeNumber | 76 |
119 | ″ | rdf:type | schema:PublicationVolume |
120 | N99a61891a59042d585bc3d848a35710b | schema:name | pubmed_id |
121 | ″ | schema:value | 24232283 |
122 | ″ | rdf:type | schema:PropertyValue |
123 | Nbc797ce2d0984b67b738028abc3830b0 | schema:issueNumber | 4 |
124 | ″ | rdf:type | schema:PublicationIssue |
125 | Nd33c5539691f4bac96df96c2101394a9 | schema:name | Springer Nature - SN SciGraph project |
126 | ″ | rdf:type | schema:Organization |
127 | Nd35ebacf683745aca71722c003a427f2 | rdf:first | sg:person.0651750517.40 |
128 | ″ | rdf:rest | Nee63606714564b82904ac1776e5b8fce |
129 | Nee63606714564b82904ac1776e5b8fce | rdf:first | sg:person.0577233307.74 |
130 | ″ | rdf:rest | N45a36ac735d24b5491b79d6b0c842f1b |
131 | anzsrc-for:06 | schema:inDefinedTermSet | anzsrc-for: |
132 | ″ | schema:name | Biological Sciences |
133 | ″ | rdf:type | schema:DefinedTerm |
134 | anzsrc-for:0604 | schema:inDefinedTermSet | anzsrc-for: |
135 | ″ | schema:name | Genetics |
136 | ″ | rdf:type | schema:DefinedTerm |
137 | sg:journal.1135804 | schema:issn | 0040-5752 |
138 | ″ | ″ | 1432-2242 |
139 | ″ | schema:name | Theoretical and Applied Genetics |
140 | ″ | schema:publisher | Springer Nature |
141 | ″ | rdf:type | schema:Periodical |
142 | sg:person.010042050405.22 | schema:affiliation | grid-institutes:grid.4708.b |
143 | ″ | schema:familyName | Villa |
144 | ″ | schema:givenName | M. |
145 | ″ | schema:sameAs | https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010042050405.22 |
146 | ″ | rdf:type | schema:Person |
147 | sg:person.0577233307.74 | schema:affiliation | grid-institutes:grid.4708.b |
148 | ″ | schema:familyName | Sari-Gorla |
149 | ″ | schema:givenName | M. |
150 | ″ | schema:sameAs | https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0577233307.74 |
151 | ″ | rdf:type | schema:Person |
152 | sg:person.0651750517.40 | schema:affiliation | grid-institutes:grid.4708.b |
153 | ″ | schema:familyName | Ottaviano |
154 | ″ | schema:givenName | E. |
155 | ″ | schema:sameAs | https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0651750517.40 |
156 | ″ | rdf:type | schema:Person |
157 | sg:pub.10.1007/bf00261452 | schema:sameAs | https://app.dimensions.ai/details/publication/pub.1050118742 |
158 | ″ | ″ | https://doi.org/10.1007/bf00261452 |
159 | ″ | rdf:type | schema:CreativeWork |
160 | sg:pub.10.1007/bf00265501 | schema:sameAs | https://app.dimensions.ai/details/publication/pub.1078818539 |
161 | ″ | ″ | https://doi.org/10.1007/bf00265501 |
162 | ″ | rdf:type | schema:CreativeWork |
163 | sg:pub.10.1007/bf00267885 | schema:sameAs | https://app.dimensions.ai/details/publication/pub.1050116115 |
164 | ″ | ″ | https://doi.org/10.1007/bf00267885 |
165 | ″ | rdf:type | schema:CreativeWork |
166 | sg:pub.10.1007/bf00273767 | schema:sameAs | https://app.dimensions.ai/details/publication/pub.1041420874 |
167 | ″ | ″ | https://doi.org/10.1007/bf00273767 |
168 | ″ | rdf:type | schema:CreativeWork |
169 | sg:pub.10.1007/bf00281151 | schema:sameAs | https://app.dimensions.ai/details/publication/pub.1078840883 |
170 | ″ | ″ | https://doi.org/10.1007/bf00281151 |
171 | ″ | rdf:type | schema:CreativeWork |
172 | sg:pub.10.1007/bf00281320 | schema:sameAs | https://app.dimensions.ai/details/publication/pub.1078824778 |
173 | ″ | ″ | https://doi.org/10.1007/bf00281320 |
174 | ″ | rdf:type | schema:CreativeWork |
175 | sg:pub.10.1007/bf00303961 | schema:sameAs | https://app.dimensions.ai/details/publication/pub.1000533289 |
176 | ″ | ″ | https://doi.org/10.1007/bf00303961 |
177 | ″ | rdf:type | schema:CreativeWork |
178 | sg:pub.10.1007/bf00304004 | schema:sameAs | https://app.dimensions.ai/details/publication/pub.1018838513 |
179 | ″ | ″ | https://doi.org/10.1007/bf00304004 |
180 | ″ | rdf:type | schema:CreativeWork |
181 | sg:pub.10.1007/bf02860839 | schema:sameAs | https://app.dimensions.ai/details/publication/pub.1049889395 |
182 | ″ | ″ | https://doi.org/10.1007/bf02860839 |
183 | ″ | rdf:type | schema:CreativeWork |
184 | sg:pub.10.1007/bf02984069 | schema:sameAs | https://app.dimensions.ai/details/publication/pub.1051891442 |
185 | ″ | ″ | https://doi.org/10.1007/bf02984069 |
186 | ″ | rdf:type | schema:CreativeWork |
187 | sg:pub.10.1038/249491a0 | schema:sameAs | https://app.dimensions.ai/details/publication/pub.1004286939 |
188 | ″ | ″ | https://doi.org/10.1038/249491a0 |
189 | ″ | rdf:type | schema:CreativeWork |
190 | grid-institutes:grid.4708.b | schema:alternateName | Dipartimento di Genetica e di Biologia dei Microrganismi, Università di Milano, Via Celoria 26, I-20133, Milano, Italy |
191 | ″ | schema:name | Dipartimento di Genetica e di Biologia dei Microrganismi, Università di Milano, Via Celoria 26, I-20133, Milano, Italy |
192 | ″ | rdf:type | schema:Organization |