Insecticidal fern protein Tma12 is possibly a lytic polysaccharide monooxygenase View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-03-22

AUTHORS

Sunil K. Yadav, Archana, Rahul Singh, Pradhyumna Kumar Singh, Prema G. Vasudev

ABSTRACT

MAIN CONCLUSION: Amino acid sequence and crystal structure analyses of Tma12, an insecticidal protein isolated from the fern Tectaria macrodonta, identify it as a carbohydrate-binding protein belonging to the AA10 family of lytic polysaccharide monooxygenases, and provide the first evidence of AA10 proteins in plants. Tma12, isolated from the fern Tectaria macrodonta, is a next-generation insecticidal protein. Transgenic cotton expressing Tma12 exhibits resistance against whitefly and viral diseases. Beside its insecticidal property, the structure and function of Tma12 are unknown. This limits understanding of the insecticidal mechanism of the protein and targeted improvement in its efficacy. Here we report the amino acid sequence analysis and the crystal structure of Tma12, suggesting that it is possibly a lytic polysaccharide monooxygenase (LPMO) of the AA10 family. Amino acid sequence of Tma12 shows 45% identity with a cellulolytic LPMO of Streptomyces coelicolor. The crystal structure of Tma12, obtained at 2.2 Å resolution, possesses all the major structural characteristics of AA10 LPMOs. A H2O2-based enzymatic assay also supports this finding. It is the first report of the occurrence of LPMO-like protein in a plant. The two facts that Tma12 possesses insecticidal activity and shows structural similarity with LPMOs collectively advocate exploration of microbial LPMOs for insecticidal potential. More... »

PAGES

1-10

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00425-019-03135-0

DOI

http://dx.doi.org/10.1007/s00425-019-03135-0

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1112941539

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30903269


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/2008/0601", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Biochemistry and Cell Biology", 
        "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": "National Botanical Research Institute", 
          "id": "https://www.grid.ac/institutes/grid.417642.2", 
          "name": [
            "Genetics and Plant Molecular Biology Division, CSIR-National Botanical Research Institute, 226001, Lucknow, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yadav", 
        "givenName": "Sunil K.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Central Institute of Medicinal and Aromatic Plants", 
          "id": "https://www.grid.ac/institutes/grid.417631.6", 
          "name": [
            "Metabolic and Structural Biology Department, CSIR-Central Institute of Medicinal and Aromatic Plants, 226015, Lucknow, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Archana", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Botanical Research Institute", 
          "id": "https://www.grid.ac/institutes/grid.417642.2", 
          "name": [
            "Genetics and Plant Molecular Biology Division, CSIR-National Botanical Research Institute, 226001, Lucknow, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Singh", 
        "givenName": "Rahul", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Botanical Research Institute", 
          "id": "https://www.grid.ac/institutes/grid.417642.2", 
          "name": [
            "Genetics and Plant Molecular Biology Division, CSIR-National Botanical Research Institute, 226001, Lucknow, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Singh", 
        "givenName": "Pradhyumna Kumar", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Central Institute of Medicinal and Aromatic Plants", 
          "id": "https://www.grid.ac/institutes/grid.417631.6", 
          "name": [
            "Metabolic and Structural Biology Department, CSIR-Central Institute of Medicinal and Aromatic Plants, 226015, Lucknow, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Vasudev", 
        "givenName": "Prema G.", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1107/s0907444910007493", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000235100"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1107/s0907444910007493", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000235100"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1754-6834-6-41", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000812569", 
          "https://doi.org/10.1186/1754-6834-6-41"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1107/s2052252516014147", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001126833"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1107/s0907444910045749", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002186240"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1754-6834-5-45", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002219986", 
          "https://doi.org/10.1186/1754-6834-5-45"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/pro.689", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002945654"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/btm404", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007683223"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ja402106e", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008414088"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0003-2697(85)90442-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011366143"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.1408115111", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012417481"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1107/s0021889807021206", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012753217"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/glycob/cww023", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013093123"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.sbi.2013.05.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015410701"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1074/jbc.m407175200", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016195790"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0168-1656(97)00090-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018838480"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1146/annurev-biochem-060614-034439", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020232116"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.1418798112", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025748267"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/gkw357", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027302560"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nbt.3665", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031548133", 
          "https://doi.org/10.1038/nbt.3665"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1107/s0907444911001314", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032555428"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1074/jbc.m115.702365", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032596291"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.1105776108", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034027697"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nchembio.2029", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036828541", 
          "https://doi.org/10.1038/nchembio.2029"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cbpa.2016.04.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037027868"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.tibtech.2015.09.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037667294"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/2047-217x-3-17", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037950062", 
          "https://doi.org/10.1186/2047-217x-3-17"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1754-6834-5-79", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038416621", 
          "https://doi.org/10.1186/1754-6834-5-79"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.1402771111", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043060307"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.str.2012.04.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043963361"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1074/jbc.m115.660183", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046271508"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/a:1006012005654", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047252811", 
          "https://doi.org/10.1023/a:1006012005654"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/25.17.3389", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047265454"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.sbi.2015.10.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047550790"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0027807", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052692031"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.sbi.2016.12.012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052876640"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ja409384b", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053121664"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.1316609111", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053473090"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/acs.jproteome.5b00542", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055115136"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/cb200351y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055226065"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ja210657t", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055851526"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1042/bst20150204", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056718004"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1042/bst20150204", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056718004"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1074/jbc.m115.700161", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058214278"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1099/mic.0.051839-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060395182"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1192231", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062462564"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1079343524", 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nchembio.2470", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1091431912", 
          "https://doi.org/10.1038/nchembio.2470"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nchembio.2470", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1091431912", 
          "https://doi.org/10.1038/nchembio.2470"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1074/jbc.m117.817130", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1099630527"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/s41467-018-03142-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1101086623", 
          "https://doi.org/10.1038/s41467-018-03142-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/s41467-018-03142-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1101086623", 
          "https://doi.org/10.1038/s41467-018-03142-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/s41467-018-03142-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1101086623", 
          "https://doi.org/10.1038/s41467-018-03142-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/c8sc00426a", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1101753807"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/s41477-018-0188-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1105236468", 
          "https://doi.org/10.1038/s41477-018-0188-8"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-03-22", 
    "datePublishedReg": "2019-03-22", 
    "description": "MAIN CONCLUSION: Amino acid sequence and crystal structure analyses of Tma12, an insecticidal protein isolated from the fern Tectaria macrodonta, identify it as a carbohydrate-binding protein belonging to the AA10 family of lytic polysaccharide monooxygenases, and provide the first evidence of AA10 proteins in plants. Tma12, isolated from the fern Tectaria macrodonta, is a next-generation insecticidal protein. Transgenic cotton expressing Tma12 exhibits resistance against whitefly and viral diseases. Beside its insecticidal property, the structure and function of Tma12 are unknown. This limits understanding of the insecticidal mechanism of the protein and targeted improvement in its efficacy. Here we report the amino acid sequence analysis and the crystal structure of Tma12, suggesting that it is possibly a lytic polysaccharide monooxygenase (LPMO) of the AA10 family. Amino acid sequence of Tma12 shows 45% identity with a cellulolytic LPMO of Streptomyces coelicolor. The crystal structure of Tma12, obtained at 2.2 \u00c5 resolution, possesses all the major structural characteristics of AA10 LPMOs. A H2O2-based enzymatic assay also supports this finding. It is the first report of the occurrence of LPMO-like protein in a plant. The two facts that Tma12 possesses insecticidal activity and shows structural similarity with LPMOs collectively advocate exploration of microbial LPMOs for insecticidal potential.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00425-019-03135-0", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1054035", 
        "issn": [
          "0032-0935", 
          "1432-2048"
        ], 
        "name": "Planta", 
        "type": "Periodical"
      }
    ], 
    "name": "Insecticidal fern protein Tma12 is possibly a lytic polysaccharide monooxygenase", 
    "pagination": "1-10", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "04e8ce9a1bd39a4861a84e83d925ff97f544ee717dfad5f46cfad0513c00d2cc"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30903269"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "1250576"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00425-019-03135-0"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1112941539"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00425-019-03135-0", 
      "https://app.dimensions.ai/details/publication/pub.1112941539"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T12:53", 
    "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/v90/0000000364_0000000364/records_72853_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs00425-019-03135-0"
  }
]
 

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/s00425-019-03135-0'

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/s00425-019-03135-0'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00425-019-03135-0'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00425-019-03135-0'


 

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

247 TRIPLES      21 PREDICATES      76 URIs      18 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00425-019-03135-0 schema:about anzsrc-for:06
2 anzsrc-for:0601
3 schema:author N4c1b45dea5c14e0281adfc6eb2d9d3bf
4 schema:citation sg:pub.10.1023/a:1006012005654
5 sg:pub.10.1038/nbt.3665
6 sg:pub.10.1038/nchembio.2029
7 sg:pub.10.1038/nchembio.2470
8 sg:pub.10.1038/s41467-018-03142-x
9 sg:pub.10.1038/s41477-018-0188-8
10 sg:pub.10.1186/1754-6834-5-45
11 sg:pub.10.1186/1754-6834-5-79
12 sg:pub.10.1186/1754-6834-6-41
13 sg:pub.10.1186/2047-217x-3-17
14 https://app.dimensions.ai/details/publication/pub.1079343524
15 https://doi.org/10.1002/pro.689
16 https://doi.org/10.1016/0003-2697(85)90442-7
17 https://doi.org/10.1016/j.cbpa.2016.04.001
18 https://doi.org/10.1016/j.sbi.2013.05.006
19 https://doi.org/10.1016/j.sbi.2015.10.002
20 https://doi.org/10.1016/j.sbi.2016.12.012
21 https://doi.org/10.1016/j.str.2012.04.002
22 https://doi.org/10.1016/j.tibtech.2015.09.006
23 https://doi.org/10.1016/s0168-1656(97)00090-4
24 https://doi.org/10.1021/acs.jproteome.5b00542
25 https://doi.org/10.1021/cb200351y
26 https://doi.org/10.1021/ja210657t
27 https://doi.org/10.1021/ja402106e
28 https://doi.org/10.1021/ja409384b
29 https://doi.org/10.1039/c8sc00426a
30 https://doi.org/10.1042/bst20150204
31 https://doi.org/10.1073/pnas.1105776108
32 https://doi.org/10.1073/pnas.1316609111
33 https://doi.org/10.1073/pnas.1402771111
34 https://doi.org/10.1073/pnas.1408115111
35 https://doi.org/10.1073/pnas.1418798112
36 https://doi.org/10.1074/jbc.m115.660183
37 https://doi.org/10.1074/jbc.m115.700161
38 https://doi.org/10.1074/jbc.m115.702365
39 https://doi.org/10.1074/jbc.m117.817130
40 https://doi.org/10.1074/jbc.m407175200
41 https://doi.org/10.1093/bioinformatics/btm404
42 https://doi.org/10.1093/glycob/cww023
43 https://doi.org/10.1093/nar/25.17.3389
44 https://doi.org/10.1093/nar/gkw357
45 https://doi.org/10.1099/mic.0.051839-0
46 https://doi.org/10.1107/s0021889807021206
47 https://doi.org/10.1107/s0907444910007493
48 https://doi.org/10.1107/s0907444910045749
49 https://doi.org/10.1107/s0907444911001314
50 https://doi.org/10.1107/s2052252516014147
51 https://doi.org/10.1126/science.1192231
52 https://doi.org/10.1146/annurev-biochem-060614-034439
53 https://doi.org/10.1371/journal.pone.0027807
54 schema:datePublished 2019-03-22
55 schema:datePublishedReg 2019-03-22
56 schema:description MAIN CONCLUSION: Amino acid sequence and crystal structure analyses of Tma12, an insecticidal protein isolated from the fern Tectaria macrodonta, identify it as a carbohydrate-binding protein belonging to the AA10 family of lytic polysaccharide monooxygenases, and provide the first evidence of AA10 proteins in plants. Tma12, isolated from the fern Tectaria macrodonta, is a next-generation insecticidal protein. Transgenic cotton expressing Tma12 exhibits resistance against whitefly and viral diseases. Beside its insecticidal property, the structure and function of Tma12 are unknown. This limits understanding of the insecticidal mechanism of the protein and targeted improvement in its efficacy. Here we report the amino acid sequence analysis and the crystal structure of Tma12, suggesting that it is possibly a lytic polysaccharide monooxygenase (LPMO) of the AA10 family. Amino acid sequence of Tma12 shows 45% identity with a cellulolytic LPMO of Streptomyces coelicolor. The crystal structure of Tma12, obtained at 2.2 Å resolution, possesses all the major structural characteristics of AA10 LPMOs. A H2O2-based enzymatic assay also supports this finding. It is the first report of the occurrence of LPMO-like protein in a plant. The two facts that Tma12 possesses insecticidal activity and shows structural similarity with LPMOs collectively advocate exploration of microbial LPMOs for insecticidal potential.
57 schema:genre research_article
58 schema:inLanguage en
59 schema:isAccessibleForFree false
60 schema:isPartOf sg:journal.1054035
61 schema:name Insecticidal fern protein Tma12 is possibly a lytic polysaccharide monooxygenase
62 schema:pagination 1-10
63 schema:productId N491aee63a5ce44fe997e353ad7a87c1d
64 N51b838d22cca45bf91961c1efa60935a
65 N8243288daf274475a76090311ed9b59e
66 Na1414e6c392f4dedb3f315c641f1df5f
67 Ndd014cdd2931406180f530494da34fa8
68 schema:sameAs https://app.dimensions.ai/details/publication/pub.1112941539
69 https://doi.org/10.1007/s00425-019-03135-0
70 schema:sdDatePublished 2019-04-11T12:53
71 schema:sdLicense https://scigraph.springernature.com/explorer/license/
72 schema:sdPublisher Na110507fa68547de821eb8dfb7cc0db1
73 schema:url https://link.springer.com/10.1007%2Fs00425-019-03135-0
74 sgo:license sg:explorer/license/
75 sgo:sdDataset articles
76 rdf:type schema:ScholarlyArticle
77 N1682c1161f4545dab9fc8c19ca3857f7 schema:affiliation https://www.grid.ac/institutes/grid.417642.2
78 schema:familyName Singh
79 schema:givenName Rahul
80 rdf:type schema:Person
81 N188b7c367b6540498f9402e15c69960b rdf:first N502c28023003479d96bcc19d349b265a
82 rdf:rest N2f0799f0a3c141b6b6f8072ae7fd6b8e
83 N2f0799f0a3c141b6b6f8072ae7fd6b8e rdf:first N1682c1161f4545dab9fc8c19ca3857f7
84 rdf:rest N804aeeeb722e4190a07c240a46f6dc32
85 N39876f9b4fea43c6aa4e97a66ce4730b schema:affiliation https://www.grid.ac/institutes/grid.417642.2
86 schema:familyName Singh
87 schema:givenName Pradhyumna Kumar
88 rdf:type schema:Person
89 N491aee63a5ce44fe997e353ad7a87c1d schema:name readcube_id
90 schema:value 04e8ce9a1bd39a4861a84e83d925ff97f544ee717dfad5f46cfad0513c00d2cc
91 rdf:type schema:PropertyValue
92 N4c1b45dea5c14e0281adfc6eb2d9d3bf rdf:first N72c7a774cb094d01943782dcaf031107
93 rdf:rest N188b7c367b6540498f9402e15c69960b
94 N502c28023003479d96bcc19d349b265a schema:affiliation https://www.grid.ac/institutes/grid.417631.6
95 schema:familyName Archana
96 rdf:type schema:Person
97 N51b838d22cca45bf91961c1efa60935a schema:name pubmed_id
98 schema:value 30903269
99 rdf:type schema:PropertyValue
100 N639b62811f5041988a21ab1459384456 schema:affiliation https://www.grid.ac/institutes/grid.417631.6
101 schema:familyName Vasudev
102 schema:givenName Prema G.
103 rdf:type schema:Person
104 N64cd529d06b44733a3e5a4ca636b5e01 rdf:first N639b62811f5041988a21ab1459384456
105 rdf:rest rdf:nil
106 N72c7a774cb094d01943782dcaf031107 schema:affiliation https://www.grid.ac/institutes/grid.417642.2
107 schema:familyName Yadav
108 schema:givenName Sunil K.
109 rdf:type schema:Person
110 N804aeeeb722e4190a07c240a46f6dc32 rdf:first N39876f9b4fea43c6aa4e97a66ce4730b
111 rdf:rest N64cd529d06b44733a3e5a4ca636b5e01
112 N8243288daf274475a76090311ed9b59e schema:name dimensions_id
113 schema:value pub.1112941539
114 rdf:type schema:PropertyValue
115 Na110507fa68547de821eb8dfb7cc0db1 schema:name Springer Nature - SN SciGraph project
116 rdf:type schema:Organization
117 Na1414e6c392f4dedb3f315c641f1df5f schema:name doi
118 schema:value 10.1007/s00425-019-03135-0
119 rdf:type schema:PropertyValue
120 Ndd014cdd2931406180f530494da34fa8 schema:name nlm_unique_id
121 schema:value 1250576
122 rdf:type schema:PropertyValue
123 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
124 schema:name Biological Sciences
125 rdf:type schema:DefinedTerm
126 anzsrc-for:0601 schema:inDefinedTermSet anzsrc-for:
127 schema:name Biochemistry and Cell Biology
128 rdf:type schema:DefinedTerm
129 sg:journal.1054035 schema:issn 0032-0935
130 1432-2048
131 schema:name Planta
132 rdf:type schema:Periodical
133 sg:pub.10.1023/a:1006012005654 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047252811
134 https://doi.org/10.1023/a:1006012005654
135 rdf:type schema:CreativeWork
136 sg:pub.10.1038/nbt.3665 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031548133
137 https://doi.org/10.1038/nbt.3665
138 rdf:type schema:CreativeWork
139 sg:pub.10.1038/nchembio.2029 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036828541
140 https://doi.org/10.1038/nchembio.2029
141 rdf:type schema:CreativeWork
142 sg:pub.10.1038/nchembio.2470 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091431912
143 https://doi.org/10.1038/nchembio.2470
144 rdf:type schema:CreativeWork
145 sg:pub.10.1038/s41467-018-03142-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1101086623
146 https://doi.org/10.1038/s41467-018-03142-x
147 rdf:type schema:CreativeWork
148 sg:pub.10.1038/s41477-018-0188-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1105236468
149 https://doi.org/10.1038/s41477-018-0188-8
150 rdf:type schema:CreativeWork
151 sg:pub.10.1186/1754-6834-5-45 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002219986
152 https://doi.org/10.1186/1754-6834-5-45
153 rdf:type schema:CreativeWork
154 sg:pub.10.1186/1754-6834-5-79 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038416621
155 https://doi.org/10.1186/1754-6834-5-79
156 rdf:type schema:CreativeWork
157 sg:pub.10.1186/1754-6834-6-41 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000812569
158 https://doi.org/10.1186/1754-6834-6-41
159 rdf:type schema:CreativeWork
160 sg:pub.10.1186/2047-217x-3-17 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037950062
161 https://doi.org/10.1186/2047-217x-3-17
162 rdf:type schema:CreativeWork
163 https://app.dimensions.ai/details/publication/pub.1079343524 schema:CreativeWork
164 https://doi.org/10.1002/pro.689 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002945654
165 rdf:type schema:CreativeWork
166 https://doi.org/10.1016/0003-2697(85)90442-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011366143
167 rdf:type schema:CreativeWork
168 https://doi.org/10.1016/j.cbpa.2016.04.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037027868
169 rdf:type schema:CreativeWork
170 https://doi.org/10.1016/j.sbi.2013.05.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015410701
171 rdf:type schema:CreativeWork
172 https://doi.org/10.1016/j.sbi.2015.10.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047550790
173 rdf:type schema:CreativeWork
174 https://doi.org/10.1016/j.sbi.2016.12.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052876640
175 rdf:type schema:CreativeWork
176 https://doi.org/10.1016/j.str.2012.04.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043963361
177 rdf:type schema:CreativeWork
178 https://doi.org/10.1016/j.tibtech.2015.09.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037667294
179 rdf:type schema:CreativeWork
180 https://doi.org/10.1016/s0168-1656(97)00090-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018838480
181 rdf:type schema:CreativeWork
182 https://doi.org/10.1021/acs.jproteome.5b00542 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055115136
183 rdf:type schema:CreativeWork
184 https://doi.org/10.1021/cb200351y schema:sameAs https://app.dimensions.ai/details/publication/pub.1055226065
185 rdf:type schema:CreativeWork
186 https://doi.org/10.1021/ja210657t schema:sameAs https://app.dimensions.ai/details/publication/pub.1055851526
187 rdf:type schema:CreativeWork
188 https://doi.org/10.1021/ja402106e schema:sameAs https://app.dimensions.ai/details/publication/pub.1008414088
189 rdf:type schema:CreativeWork
190 https://doi.org/10.1021/ja409384b schema:sameAs https://app.dimensions.ai/details/publication/pub.1053121664
191 rdf:type schema:CreativeWork
192 https://doi.org/10.1039/c8sc00426a schema:sameAs https://app.dimensions.ai/details/publication/pub.1101753807
193 rdf:type schema:CreativeWork
194 https://doi.org/10.1042/bst20150204 schema:sameAs https://app.dimensions.ai/details/publication/pub.1056718004
195 rdf:type schema:CreativeWork
196 https://doi.org/10.1073/pnas.1105776108 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034027697
197 rdf:type schema:CreativeWork
198 https://doi.org/10.1073/pnas.1316609111 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053473090
199 rdf:type schema:CreativeWork
200 https://doi.org/10.1073/pnas.1402771111 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043060307
201 rdf:type schema:CreativeWork
202 https://doi.org/10.1073/pnas.1408115111 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012417481
203 rdf:type schema:CreativeWork
204 https://doi.org/10.1073/pnas.1418798112 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025748267
205 rdf:type schema:CreativeWork
206 https://doi.org/10.1074/jbc.m115.660183 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046271508
207 rdf:type schema:CreativeWork
208 https://doi.org/10.1074/jbc.m115.700161 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058214278
209 rdf:type schema:CreativeWork
210 https://doi.org/10.1074/jbc.m115.702365 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032596291
211 rdf:type schema:CreativeWork
212 https://doi.org/10.1074/jbc.m117.817130 schema:sameAs https://app.dimensions.ai/details/publication/pub.1099630527
213 rdf:type schema:CreativeWork
214 https://doi.org/10.1074/jbc.m407175200 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016195790
215 rdf:type schema:CreativeWork
216 https://doi.org/10.1093/bioinformatics/btm404 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007683223
217 rdf:type schema:CreativeWork
218 https://doi.org/10.1093/glycob/cww023 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013093123
219 rdf:type schema:CreativeWork
220 https://doi.org/10.1093/nar/25.17.3389 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047265454
221 rdf:type schema:CreativeWork
222 https://doi.org/10.1093/nar/gkw357 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027302560
223 rdf:type schema:CreativeWork
224 https://doi.org/10.1099/mic.0.051839-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060395182
225 rdf:type schema:CreativeWork
226 https://doi.org/10.1107/s0021889807021206 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012753217
227 rdf:type schema:CreativeWork
228 https://doi.org/10.1107/s0907444910007493 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000235100
229 rdf:type schema:CreativeWork
230 https://doi.org/10.1107/s0907444910045749 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002186240
231 rdf:type schema:CreativeWork
232 https://doi.org/10.1107/s0907444911001314 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032555428
233 rdf:type schema:CreativeWork
234 https://doi.org/10.1107/s2052252516014147 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001126833
235 rdf:type schema:CreativeWork
236 https://doi.org/10.1126/science.1192231 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062462564
237 rdf:type schema:CreativeWork
238 https://doi.org/10.1146/annurev-biochem-060614-034439 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020232116
239 rdf:type schema:CreativeWork
240 https://doi.org/10.1371/journal.pone.0027807 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052692031
241 rdf:type schema:CreativeWork
242 https://www.grid.ac/institutes/grid.417631.6 schema:alternateName Central Institute of Medicinal and Aromatic Plants
243 schema:name Metabolic and Structural Biology Department, CSIR-Central Institute of Medicinal and Aromatic Plants, 226015, Lucknow, India
244 rdf:type schema:Organization
245 https://www.grid.ac/institutes/grid.417642.2 schema:alternateName National Botanical Research Institute
246 schema:name Genetics and Plant Molecular Biology Division, CSIR-National Botanical Research Institute, 226001, Lucknow, India
247 rdf:type schema:Organization
 




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


...