Ontology type: schema:ScholarlyArticle Open Access: True
2017-11
AUTHORSTingcai Cheng, Jiaqi Wu, Yuqian Wu, Rajendra V. Chilukuri, Lihua Huang, Kohji Yamamoto, Li Feng, Wanshun Li, Zhiwei Chen, Huizhen Guo, Jianqiu Liu, Shenglong Li, Xiaoxiao Wang, Li Peng, Duolian Liu, Youbing Guo, Bohua Fu, Zhiqing Li, Chun Liu, Yuhui Chen, Archana Tomar, Frederique Hilliou, Nicolas Montagné, Emmanuelle Jacquin-Joly, Emmanuelle d’Alençon, Rakesh K. Seth, Raj K. Bhatnagar, Akiya Jouraku, Takahiro Shiotsuki, Keiko Kadono-Okuda, Amornrat Promboon, Guy Smagghe, Kallare P. Arunkumar, Hirohisa Kishino, Marian R. Goldsmith, Qili Feng, Qingyou Xia, Kazuei Mita
ABSTRACTThe tobacco cutworm, Spodoptera litura, is among the most widespread and destructive agricultural pests, feeding on over 100 crops throughout tropical and subtropical Asia. By genome sequencing, physical mapping and transcriptome analysis, we found that the gene families encoding receptors for bitter or toxic substances and detoxification enzymes, such as cytochrome P450, carboxylesterase and glutathione-S-transferase, were massively expanded in this polyphagous species, enabling its extraordinary ability to detect and detoxify many plant secondary compounds. Larval exposure to insecticidal toxins induced expression of detoxification genes, and knockdown of representative genes using short interfering RNA (siRNA) reduced larval survival, consistent with their contribution to the insect's natural pesticide tolerance. A population genetics study indicated that this species expanded throughout southeast Asia by migrating along a South India-South China-Japan axis, adapting to wide-ranging ecological conditions with diverse host plants and insecticides, surviving and adapting with the aid of its expanded detoxification systems. The findings of this study will enable the development of new pest management strategies for the control of major agricultural pests such as S. litura. More... »
PAGES1747-1756
http://scigraph.springernature.com/pub.10.1038/s41559-017-0314-4
DOIhttp://dx.doi.org/10.1038/s41559-017-0314-4
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PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/28963452
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"value": [
"pub.1091911848"
]
}
],
"sameAs": [
"https://doi.org/10.1038/s41559-017-0314-4",
"https://app.dimensions.ai/details/publication/pub.1091911848"
],
"sdDataset": "articles",
"sdDatePublished": "2019-04-10T20:10",
"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/v90/0000000001_0000000264/records_8681_00000601.jsonl",
"type": "ScholarlyArticle",
"url": "https://www.nature.com/articles/s41559-017-0314-4"
}
]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.10.1038/s41559-017-0314-4'
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/s41559-017-0314-4'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41559-017-0314-4'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41559-017-0314-4'
This table displays all metadata directly associated to this object as RDF triples.
695 TRIPLES
21 PREDICATES
131 URIs
33 LITERALS
21 BLANK NODES