Water impacts nutrient dose responses genome-wide to affect crop production View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-12

AUTHORS

Joseph Swift, Mark Adame, Daniel Tranchina, Amelia Henry, Gloria M. Coruzzi

ABSTRACT

Changes in nutrient dose have dramatic effects on gene expression and development. One outstanding question is whether organisms respond to changes in absolute nutrient amount (moles) vs. its concentration in water (molarity). This question is particularly relevant to plants, as soil drying can alter nutrient concentration, without changing its absolute amount. To compare the effects of amount vs. concentration, we expose rice to a factorial matrix varying the dose of nitrogen (N) and water (W) over a range of combinations, and quantify transcriptome and phenotype responses. Using linear models, we identify distinct dose responses to either N-moles, W-volume, N-molarity (N/W), or their synergistic interaction (N×W). Importantly, genes whose expression patterns are best explained by N-dose and W interactions (N/W or N×W) in seedlings are associated with crop outcomes in replicated field trials. Such N-by-W responsive genes may assist future efforts to develop crops resilient to increasingly arid, low nutrient soils. More... »

PAGES

1374

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/s41467-019-09287-7

DOI

http://dx.doi.org/10.1038/s41467-019-09287-7

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1112984529

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30914651


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": "New York University", 
          "id": "https://www.grid.ac/institutes/grid.137628.9", 
          "name": [
            "Center for Genomics and Systems Biology, Department of Biology, New York University, 10003, New York, NY, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Swift", 
        "givenName": "Joseph", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "New York University", 
          "id": "https://www.grid.ac/institutes/grid.137628.9", 
          "name": [
            "Center for Genomics and Systems Biology, Department of Biology, New York University, 10003, New York, NY, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Adame", 
        "givenName": "Mark", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Courant Institute of Mathematical Sciences", 
          "id": "https://www.grid.ac/institutes/grid.482020.c", 
          "name": [
            "Center for Genomics and Systems Biology, Department of Biology, New York University, 10003, New York, NY, USA", 
            "Courant Institute for Mathematical Sciences, New York University, 10012, New York, NY, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tranchina", 
        "givenName": "Daniel", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "International Rice Research Institute", 
          "id": "https://www.grid.ac/institutes/grid.419387.0", 
          "name": [
            "International Rice Research Institute, Los Banos, 4031, Laguna, Philippines"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Henry", 
        "givenName": "Amelia", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "New York University", 
          "id": "https://www.grid.ac/institutes/grid.137628.9", 
          "name": [
            "Center for Genomics and Systems Biology, Department of Biology, New York University, 10003, New York, NY, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Coruzzi", 
        "givenName": "Gloria M.", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1101/gr.1224503", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000505228"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1071/fp03046", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001465912"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11427-011-4191-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002774730", 
          "https://doi.org/10.1007/s11427-011-4191-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/pcp/pcs003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004994715"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1104/pp.111.187898", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009045372"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/jexbot/51.350.1531", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010858096"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.apgeog.2014.11.024", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012122673"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s004420050145", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012305745", 
          "https://doi.org/10.1007/s004420050145"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pgen.1000492", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013485937"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s13059-014-0550-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015222646", 
          "https://doi.org/10.1186/s13059-014-0550-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s13059-014-0550-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015222646", 
          "https://doi.org/10.1186/s13059-014-0550-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1046/j.1365-313x.2000.00812.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016706398"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1104/pp.109.147025", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017565764"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1104/pp.103.021253", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018030782"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2229-9-120", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019529502", 
          "https://doi.org/10.1186/1471-2229-9-120"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00122-009-0988-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019793487", 
          "https://doi.org/10.1007/s00122-009-0988-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00122-009-0988-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019793487", 
          "https://doi.org/10.1007/s00122-009-0988-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1399-3054.1962.tb08052.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023703429"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.fcr.2007.10.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023849635"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2164-14-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025375368", 
          "https://doi.org/10.1186/1471-2164-14-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12571-012-0168-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029572517", 
          "https://doi.org/10.1007/s12571-012-0168-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.1108684108", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034438276"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/aob/mcs293", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034803568"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10265-011-0412-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035353512", 
          "https://doi.org/10.1007/s10265-011-0412-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cell.2015.02.041", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035769569"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1071/pp9840539", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037418521"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-313x.2010.04274.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039774090"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-313x.2010.04274.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039774090"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/pcp/pcs097", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039795700"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.0800211105", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040912983"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cell.2009.07.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043069085"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3389/fpls.2014.00086", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043259537"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1939-8433-6-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043618498", 
          "https://doi.org/10.1186/1939-8433-6-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.agwat.2014.08.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044469914"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-313x.2008.03695.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045312513"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1185383", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048131164"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1752-0509-1-54", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052159443", 
          "https://doi.org/10.1186/1752-0509-1-54"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/btu638", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053282140"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/scisignal.aaa4829", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062685461"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/scisignal.aaf2768", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062686048"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1146/annurev-arplant-043014-114648", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063176491"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4161/psb.5.12.13856", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1072309183"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.pbi.2017.05.010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085968847"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.1721487115", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1104019057"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-12", 
    "datePublishedReg": "2019-12-01", 
    "description": "Changes in nutrient dose have dramatic effects on gene expression and development. One outstanding question is whether organisms respond to changes in absolute nutrient amount (moles) vs. its concentration in water (molarity). This question is particularly relevant to plants, as soil drying can alter nutrient concentration, without changing its absolute amount. To compare the effects of amount vs. concentration, we expose rice to a factorial matrix varying the dose of nitrogen (N) and water (W) over a range of combinations, and quantify transcriptome and phenotype responses. Using linear models, we identify distinct dose responses to either N-moles, W-volume, N-molarity (N/W), or their synergistic interaction (N\u00d7W). Importantly, genes whose expression patterns are best explained by N-dose and W interactions (N/W or N\u00d7W) in seedlings are associated with crop outcomes in replicated field trials. Such N-by-W responsive genes may assist future efforts to develop crops resilient to increasingly arid, low nutrient soils.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1038/s41467-019-09287-7", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.3053960", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1043282", 
        "issn": [
          "2041-1723"
        ], 
        "name": "Nature Communications", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "10"
      }
    ], 
    "name": "Water impacts nutrient dose responses genome-wide to affect crop production", 
    "pagination": "1374", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "449f794b96320f727c7986b51a63dbcb268bb4fc72be2eed7940405d04d5c6f3"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30914651"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101528555"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/s41467-019-09287-7"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1112984529"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/s41467-019-09287-7", 
      "https://app.dimensions.ai/details/publication/pub.1112984529"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T13:48", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000371_0000000371/records_130792_00000006.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://www.nature.com/articles/s41467-019-09287-7"
  }
]
 

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/s41467-019-09287-7'

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/s41467-019-09287-7'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41467-019-09287-7'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41467-019-09287-7'


 

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

233 TRIPLES      21 PREDICATES      70 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/s41467-019-09287-7 schema:about anzsrc-for:06
2 anzsrc-for:0604
3 schema:author N9e5c6d519c844c5da90e1b58f735095f
4 schema:citation sg:pub.10.1007/s00122-009-0988-3
5 sg:pub.10.1007/s004420050145
6 sg:pub.10.1007/s10265-011-0412-3
7 sg:pub.10.1007/s11427-011-4191-9
8 sg:pub.10.1007/s12571-012-0168-1
9 sg:pub.10.1186/1471-2164-14-3
10 sg:pub.10.1186/1471-2229-9-120
11 sg:pub.10.1186/1752-0509-1-54
12 sg:pub.10.1186/1939-8433-6-4
13 sg:pub.10.1186/s13059-014-0550-8
14 https://doi.org/10.1016/j.agwat.2014.08.006
15 https://doi.org/10.1016/j.apgeog.2014.11.024
16 https://doi.org/10.1016/j.cell.2009.07.004
17 https://doi.org/10.1016/j.cell.2015.02.041
18 https://doi.org/10.1016/j.fcr.2007.10.004
19 https://doi.org/10.1016/j.pbi.2017.05.010
20 https://doi.org/10.1046/j.1365-313x.2000.00812.x
21 https://doi.org/10.1071/fp03046
22 https://doi.org/10.1071/pp9840539
23 https://doi.org/10.1073/pnas.0800211105
24 https://doi.org/10.1073/pnas.1108684108
25 https://doi.org/10.1073/pnas.1721487115
26 https://doi.org/10.1093/aob/mcs293
27 https://doi.org/10.1093/bioinformatics/btu638
28 https://doi.org/10.1093/jexbot/51.350.1531
29 https://doi.org/10.1093/pcp/pcs003
30 https://doi.org/10.1093/pcp/pcs097
31 https://doi.org/10.1101/gr.1224503
32 https://doi.org/10.1104/pp.103.021253
33 https://doi.org/10.1104/pp.109.147025
34 https://doi.org/10.1104/pp.111.187898
35 https://doi.org/10.1111/j.1365-313x.2008.03695.x
36 https://doi.org/10.1111/j.1365-313x.2010.04274.x
37 https://doi.org/10.1111/j.1399-3054.1962.tb08052.x
38 https://doi.org/10.1126/science.1185383
39 https://doi.org/10.1126/scisignal.aaa4829
40 https://doi.org/10.1126/scisignal.aaf2768
41 https://doi.org/10.1146/annurev-arplant-043014-114648
42 https://doi.org/10.1371/journal.pgen.1000492
43 https://doi.org/10.3389/fpls.2014.00086
44 https://doi.org/10.4161/psb.5.12.13856
45 schema:datePublished 2019-12
46 schema:datePublishedReg 2019-12-01
47 schema:description Changes in nutrient dose have dramatic effects on gene expression and development. One outstanding question is whether organisms respond to changes in absolute nutrient amount (moles) vs. its concentration in water (molarity). This question is particularly relevant to plants, as soil drying can alter nutrient concentration, without changing its absolute amount. To compare the effects of amount vs. concentration, we expose rice to a factorial matrix varying the dose of nitrogen (N) and water (W) over a range of combinations, and quantify transcriptome and phenotype responses. Using linear models, we identify distinct dose responses to either N-moles, W-volume, N-molarity (N/W), or their synergistic interaction (N×W). Importantly, genes whose expression patterns are best explained by N-dose and W interactions (N/W or N×W) in seedlings are associated with crop outcomes in replicated field trials. Such N-by-W responsive genes may assist future efforts to develop crops resilient to increasingly arid, low nutrient soils.
48 schema:genre research_article
49 schema:inLanguage en
50 schema:isAccessibleForFree true
51 schema:isPartOf Na0b3ba230ef54478b2f0283207855a88
52 Nd828f3f48ca24caabd0452532ce4ec7f
53 sg:journal.1043282
54 schema:name Water impacts nutrient dose responses genome-wide to affect crop production
55 schema:pagination 1374
56 schema:productId N4b99779a813445e787bc6dc776750bac
57 N655d6cec00984936bad16f642d629a39
58 N6610b3f717de47fcb7c16e742ab9f131
59 Nb13a5840acde4efcac9c4e6ef70e1047
60 Nbb3283c9fe3c422a94e646492fd602ac
61 schema:sameAs https://app.dimensions.ai/details/publication/pub.1112984529
62 https://doi.org/10.1038/s41467-019-09287-7
63 schema:sdDatePublished 2019-04-11T13:48
64 schema:sdLicense https://scigraph.springernature.com/explorer/license/
65 schema:sdPublisher Na51d05330dda474f9e061d7ac26805a0
66 schema:url https://www.nature.com/articles/s41467-019-09287-7
67 sgo:license sg:explorer/license/
68 sgo:sdDataset articles
69 rdf:type schema:ScholarlyArticle
70 N0d9160b005cd4ed3993e00f886f8d3df rdf:first Nef952a6ab0b04f1c8c8689e78b7f46bd
71 rdf:rest N6a5a8331da72417e97c965e7b3060b2e
72 N0f0cb80cc6084a52aeb69f332e16a8db schema:affiliation https://www.grid.ac/institutes/grid.137628.9
73 schema:familyName Coruzzi
74 schema:givenName Gloria M.
75 rdf:type schema:Person
76 N1a3f3d2578a3416ea85720c2fe19809c schema:affiliation https://www.grid.ac/institutes/grid.137628.9
77 schema:familyName Swift
78 schema:givenName Joseph
79 rdf:type schema:Person
80 N495ddee2c9074c5c929f92c025531cf4 schema:affiliation https://www.grid.ac/institutes/grid.137628.9
81 schema:familyName Adame
82 schema:givenName Mark
83 rdf:type schema:Person
84 N4b99779a813445e787bc6dc776750bac schema:name nlm_unique_id
85 schema:value 101528555
86 rdf:type schema:PropertyValue
87 N528ce8e25adf4ef7910670c4562f8fa8 schema:affiliation https://www.grid.ac/institutes/grid.482020.c
88 schema:familyName Tranchina
89 schema:givenName Daniel
90 rdf:type schema:Person
91 N655d6cec00984936bad16f642d629a39 schema:name dimensions_id
92 schema:value pub.1112984529
93 rdf:type schema:PropertyValue
94 N6610b3f717de47fcb7c16e742ab9f131 schema:name doi
95 schema:value 10.1038/s41467-019-09287-7
96 rdf:type schema:PropertyValue
97 N6a5a8331da72417e97c965e7b3060b2e rdf:first N0f0cb80cc6084a52aeb69f332e16a8db
98 rdf:rest rdf:nil
99 N8a6086b1529d45029313892f684de4c6 rdf:first N528ce8e25adf4ef7910670c4562f8fa8
100 rdf:rest N0d9160b005cd4ed3993e00f886f8d3df
101 N912222d7c6a644af93ddfc968ac1f5d5 rdf:first N495ddee2c9074c5c929f92c025531cf4
102 rdf:rest N8a6086b1529d45029313892f684de4c6
103 N9e5c6d519c844c5da90e1b58f735095f rdf:first N1a3f3d2578a3416ea85720c2fe19809c
104 rdf:rest N912222d7c6a644af93ddfc968ac1f5d5
105 Na0b3ba230ef54478b2f0283207855a88 schema:issueNumber 1
106 rdf:type schema:PublicationIssue
107 Na51d05330dda474f9e061d7ac26805a0 schema:name Springer Nature - SN SciGraph project
108 rdf:type schema:Organization
109 Nb13a5840acde4efcac9c4e6ef70e1047 schema:name pubmed_id
110 schema:value 30914651
111 rdf:type schema:PropertyValue
112 Nbb3283c9fe3c422a94e646492fd602ac schema:name readcube_id
113 schema:value 449f794b96320f727c7986b51a63dbcb268bb4fc72be2eed7940405d04d5c6f3
114 rdf:type schema:PropertyValue
115 Nd828f3f48ca24caabd0452532ce4ec7f schema:volumeNumber 10
116 rdf:type schema:PublicationVolume
117 Nef952a6ab0b04f1c8c8689e78b7f46bd schema:affiliation https://www.grid.ac/institutes/grid.419387.0
118 schema:familyName Henry
119 schema:givenName Amelia
120 rdf:type schema:Person
121 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
122 schema:name Biological Sciences
123 rdf:type schema:DefinedTerm
124 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
125 schema:name Genetics
126 rdf:type schema:DefinedTerm
127 sg:grant.3053960 http://pending.schema.org/fundedItem sg:pub.10.1038/s41467-019-09287-7
128 rdf:type schema:MonetaryGrant
129 sg:journal.1043282 schema:issn 2041-1723
130 schema:name Nature Communications
131 rdf:type schema:Periodical
132 sg:pub.10.1007/s00122-009-0988-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019793487
133 https://doi.org/10.1007/s00122-009-0988-3
134 rdf:type schema:CreativeWork
135 sg:pub.10.1007/s004420050145 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012305745
136 https://doi.org/10.1007/s004420050145
137 rdf:type schema:CreativeWork
138 sg:pub.10.1007/s10265-011-0412-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035353512
139 https://doi.org/10.1007/s10265-011-0412-3
140 rdf:type schema:CreativeWork
141 sg:pub.10.1007/s11427-011-4191-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002774730
142 https://doi.org/10.1007/s11427-011-4191-9
143 rdf:type schema:CreativeWork
144 sg:pub.10.1007/s12571-012-0168-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029572517
145 https://doi.org/10.1007/s12571-012-0168-1
146 rdf:type schema:CreativeWork
147 sg:pub.10.1186/1471-2164-14-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025375368
148 https://doi.org/10.1186/1471-2164-14-3
149 rdf:type schema:CreativeWork
150 sg:pub.10.1186/1471-2229-9-120 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019529502
151 https://doi.org/10.1186/1471-2229-9-120
152 rdf:type schema:CreativeWork
153 sg:pub.10.1186/1752-0509-1-54 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052159443
154 https://doi.org/10.1186/1752-0509-1-54
155 rdf:type schema:CreativeWork
156 sg:pub.10.1186/1939-8433-6-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043618498
157 https://doi.org/10.1186/1939-8433-6-4
158 rdf:type schema:CreativeWork
159 sg:pub.10.1186/s13059-014-0550-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015222646
160 https://doi.org/10.1186/s13059-014-0550-8
161 rdf:type schema:CreativeWork
162 https://doi.org/10.1016/j.agwat.2014.08.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044469914
163 rdf:type schema:CreativeWork
164 https://doi.org/10.1016/j.apgeog.2014.11.024 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012122673
165 rdf:type schema:CreativeWork
166 https://doi.org/10.1016/j.cell.2009.07.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043069085
167 rdf:type schema:CreativeWork
168 https://doi.org/10.1016/j.cell.2015.02.041 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035769569
169 rdf:type schema:CreativeWork
170 https://doi.org/10.1016/j.fcr.2007.10.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023849635
171 rdf:type schema:CreativeWork
172 https://doi.org/10.1016/j.pbi.2017.05.010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085968847
173 rdf:type schema:CreativeWork
174 https://doi.org/10.1046/j.1365-313x.2000.00812.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1016706398
175 rdf:type schema:CreativeWork
176 https://doi.org/10.1071/fp03046 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001465912
177 rdf:type schema:CreativeWork
178 https://doi.org/10.1071/pp9840539 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037418521
179 rdf:type schema:CreativeWork
180 https://doi.org/10.1073/pnas.0800211105 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040912983
181 rdf:type schema:CreativeWork
182 https://doi.org/10.1073/pnas.1108684108 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034438276
183 rdf:type schema:CreativeWork
184 https://doi.org/10.1073/pnas.1721487115 schema:sameAs https://app.dimensions.ai/details/publication/pub.1104019057
185 rdf:type schema:CreativeWork
186 https://doi.org/10.1093/aob/mcs293 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034803568
187 rdf:type schema:CreativeWork
188 https://doi.org/10.1093/bioinformatics/btu638 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053282140
189 rdf:type schema:CreativeWork
190 https://doi.org/10.1093/jexbot/51.350.1531 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010858096
191 rdf:type schema:CreativeWork
192 https://doi.org/10.1093/pcp/pcs003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004994715
193 rdf:type schema:CreativeWork
194 https://doi.org/10.1093/pcp/pcs097 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039795700
195 rdf:type schema:CreativeWork
196 https://doi.org/10.1101/gr.1224503 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000505228
197 rdf:type schema:CreativeWork
198 https://doi.org/10.1104/pp.103.021253 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018030782
199 rdf:type schema:CreativeWork
200 https://doi.org/10.1104/pp.109.147025 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017565764
201 rdf:type schema:CreativeWork
202 https://doi.org/10.1104/pp.111.187898 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009045372
203 rdf:type schema:CreativeWork
204 https://doi.org/10.1111/j.1365-313x.2008.03695.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1045312513
205 rdf:type schema:CreativeWork
206 https://doi.org/10.1111/j.1365-313x.2010.04274.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1039774090
207 rdf:type schema:CreativeWork
208 https://doi.org/10.1111/j.1399-3054.1962.tb08052.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1023703429
209 rdf:type schema:CreativeWork
210 https://doi.org/10.1126/science.1185383 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048131164
211 rdf:type schema:CreativeWork
212 https://doi.org/10.1126/scisignal.aaa4829 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062685461
213 rdf:type schema:CreativeWork
214 https://doi.org/10.1126/scisignal.aaf2768 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062686048
215 rdf:type schema:CreativeWork
216 https://doi.org/10.1146/annurev-arplant-043014-114648 schema:sameAs https://app.dimensions.ai/details/publication/pub.1063176491
217 rdf:type schema:CreativeWork
218 https://doi.org/10.1371/journal.pgen.1000492 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013485937
219 rdf:type schema:CreativeWork
220 https://doi.org/10.3389/fpls.2014.00086 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043259537
221 rdf:type schema:CreativeWork
222 https://doi.org/10.4161/psb.5.12.13856 schema:sameAs https://app.dimensions.ai/details/publication/pub.1072309183
223 rdf:type schema:CreativeWork
224 https://www.grid.ac/institutes/grid.137628.9 schema:alternateName New York University
225 schema:name Center for Genomics and Systems Biology, Department of Biology, New York University, 10003, New York, NY, USA
226 rdf:type schema:Organization
227 https://www.grid.ac/institutes/grid.419387.0 schema:alternateName International Rice Research Institute
228 schema:name International Rice Research Institute, Los Banos, 4031, Laguna, Philippines
229 rdf:type schema:Organization
230 https://www.grid.ac/institutes/grid.482020.c schema:alternateName Courant Institute of Mathematical Sciences
231 schema:name Center for Genomics and Systems Biology, Department of Biology, New York University, 10003, New York, NY, USA
232 Courant Institute for Mathematical Sciences, New York University, 10012, New York, NY, USA
233 rdf:type schema:Organization
 




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


...