Retraction notice to "Pre-exposures to taro (Colocasia esculenta) leaf volatiles enhance the reproductive behaviors in Spodoptera litura" [IP_99_39-46]

2018 ◽  
Vol 107 ◽  
pp. 309
Author(s):  
Xinlong Wan ◽  
Jiaxiu Bai ◽  
Rui Lu ◽  
Daogen Zhang ◽  
Huiyue Lin
2020 ◽  
Vol 06 (02) ◽  
pp. 130-130
Author(s):  
Isha Patel
Keyword(s):  

2019 ◽  
Vol 7 (2) ◽  
Author(s):  
Jyothi R ◽  
Srinivasa Murthy K M ◽  
Hossein . ◽  
Veena .

Colocasia esculenta is commonly known as Taro, it is referred to as cocoyam in Nigeria. They are cherished for their rich taste, nutritional and medicinal properties. Every 100 g of taro corms possess 112 Kcal, 26.46 g carbohydrate, 1.50 g protein, 0.20 g total fat and 4.1g fiber (USDA National Nutrient Data Base). Besides its nutritional value, taro is used as a medical plant and provides bioactive compounds used as an anti-cancer drugs. Traditionally, cocoyams are vegetative propagated from tuber fragments, a practice that encourages pathogen distribution. Colocasia esculenta is a widely distributed food crop in the humid tropics and subtropics. Despite of its wide distribution, Taro plants are commonly infected with DsMV and other pathogens. This virus induces conspicuous mosaic, malformation, dwarfing or feathering on leaves in taro. As the results of infection, it reduces the quality and yield of taro production greatly. This virus is thus considered as a major limiting factor in the production of taro. Here plays the importance of  tissue culture plays a major role in producing the disease resistant plants round the year with high quality. For rapid multiplication and production of quality planting materials, tissue culture technology offers promising alternative compared to the traditional production methods. KEYWORDS: Colocasia esculenta, Virus, Pathogens, Conventional propagation, Micropropagation, Yield, Rapid multiplication, Quality


ENTOMON ◽  
2019 ◽  
Vol 44 (2) ◽  
pp. 127-132
Author(s):  
M. Visnupriya ◽  
N. Muthukrishnan

Field population of Spodoptera litura from tomato ( resistant to the majority of the conventional insecticide molecules) were subjected to the in vivo toxicity of spinetoram 12 SC to assess whether cross resistance exists or not. Untreated larvae of both field and laboratory strains showed no mortality during 48 hours of feeding. After 48 hours of feeding on spinetoram 12 SC treated leaves, LC50s of field larvae were 0.28, 0.93, 3.71 and 7.11 ppm for the 2nd, 3rd, 4th and 5th instars of S. litura respectively. However, in the laboratory strain these values were 1.12, 5.86, 36.72 and 91.55 ppm for 2nd, 3rd, 4th and 5th instars of S. litura respectively. Resistance ratio was 0.25, 0.16, 0.10 and 0.08 for the 2nd instar up to the 5th instar of S. litura.


Author(s):  
Irma Harlianingtyas ◽  
◽  
Ramadhan Taufika ◽  

Tembakau adalah produk pertanian semusim yang bukan termasuk dalam komoditas perkebunan. Produk ini dikonsumsi bukan untuk makanan tetapi sebagai pengisi waktu luang yaitu sebagai bahan baku rokok dan cerutu. Tembakau juga dapat dikunyah. Kandungan metabolit sekunder yang kaya juga membuatnya bermanfaat sebagai pestisida dan bahan baku obat. Salah satu tantangan dalam budidaya tembakau adalah adanya organisme pengganggu tanaman. Serangan hama dan penyakit dapat mempengaruhi kualitas maupun kuantitas hasil panen tembakau. Serangan hama dan penyakit yang paling banyak terjadi adalah pada saat fase vegetatif, karena pada vase ini semua bagian tanaman menjadi sasaran makanan bagi organisme pengganggu tanaman. Organisme pengganggu tanaman yang dianggap sebagai hama pada vase vegetattif tanaman tembakau adalah ualt tanah, ulat daun, belalang, kupu, gayas/jangkrik. Kegiatan penelitian ini dilakukan di PT Tarutama Nusantara Jember, data yang digunakan adalah data serangan hama yang terjadi pada seluruh kebun milik TTN dari tahun 2013 hingga 2019. Tujuan dilakukan penelitian ini adalah mengtahui prediksi serangan hama yang akan terjadi guna mempermudah perusahaan dalam menentukan strategi dan kebijakan guna meningkatkan produksi tembakau khususnya sebagai pelapis cerutu dekblad/wrapper. Metode penelitian yang digunakan untuk memprediksi serangan hama yang terjadi adalah metode regresi linier. Hasil penelitian menunjukkan prediksi serangan hama ulat tanah (Agrotis iplison) tahun 2021 sebesar 15,6%, ulat grayak (Spodoptera litura) sebesar 19,08%, serangan hama belalang sebesar 15,77%, dan serangan hama ketep (Setomorpha rutella) sebesar 15,23%, serta serangan hama jangkrik (Gryllidae) pada tahun 2021 adalah sebesar 8,20%.


2020 ◽  
Author(s):  
Salvador Guardiola ◽  
Monica Varese ◽  
Xavier Roig ◽  
Jesús Garcia ◽  
Ernest Giralt

<p>NOTE: This preprint has been retracted by consensus from all authors. See the retraction notice in place above; the original text can be found under "Version 1", accessible from the version selector above.</p><p><br></p><p>------------------------------------------------------------------------</p><p><br></p><p>Peptides, together with antibodies, are among the most potent biochemical tools to modulate challenging protein-protein interactions. However, current structure-based methods are largely limited to natural peptides and are not suitable for designing target-specific binders with improved pharmaceutical properties, such as macrocyclic peptides. Here we report a general framework that leverages the computational power of Rosetta for large-scale backbone sampling and energy scoring, followed by side-chain composition, to design heterochiral cyclic peptides that bind to a protein surface of interest. To showcase the applicability of our approach, we identified two peptides (PD-<i>i</i>3 and PD-<i>i</i>6) that target PD-1, a key immune checkpoint, and work as protein ligand decoys. A comprehensive biophysical evaluation confirmed their binding mechanism to PD-1 and their inhibitory effect on the PD-1/PD-L1 interaction. Finally, elucidation of their solution structures by NMR served as validation of our <i>de novo </i>design approach. We anticipate that our results will provide a general framework for designing target-specific drug-like peptides.<i></i></p>


2020 ◽  
Author(s):  
Salvador Guardiola ◽  
Monica Varese ◽  
Xavier Roig ◽  
Jesús Garcia ◽  
Ernest Giralt

<p>NOTE: This preprint has been retracted by consensus from all authors. See the retraction notice in place above; the original text can be found under "Version 1", accessible from the version selector above.</p><p><br></p><p>------------------------------------------------------------------------</p><p><br></p><p>Peptides, together with antibodies, are among the most potent biochemical tools to modulate challenging protein-protein interactions. However, current structure-based methods are largely limited to natural peptides and are not suitable for designing target-specific binders with improved pharmaceutical properties, such as macrocyclic peptides. Here we report a general framework that leverages the computational power of Rosetta for large-scale backbone sampling and energy scoring, followed by side-chain composition, to design heterochiral cyclic peptides that bind to a protein surface of interest. To showcase the applicability of our approach, we identified two peptides (PD-<i>i</i>3 and PD-<i>i</i>6) that target PD-1, a key immune checkpoint, and work as protein ligand decoys. A comprehensive biophysical evaluation confirmed their binding mechanism to PD-1 and their inhibitory effect on the PD-1/PD-L1 interaction. Finally, elucidation of their solution structures by NMR served as validation of our <i>de novo </i>design approach. We anticipate that our results will provide a general framework for designing target-specific drug-like peptides.<i></i></p>


2020 ◽  
Author(s):  
Salvador Guardiola ◽  
Monica Varese ◽  
Xavier Roig ◽  
Jesús Garcia ◽  
Ernest Giralt

<p>NOTE: This preprint has been retracted by consensus from all authors. See the retraction notice in place above; the original text can be found under "Version 1", accessible from the version selector above.</p><p><br></p><p>------------------------------------------------------------------------</p><p><br></p><p>Peptides, together with antibodies, are among the most potent biochemical tools to modulate challenging protein-protein interactions. However, current structure-based methods are largely limited to natural peptides and are not suitable for designing target-specific binders with improved pharmaceutical properties, such as macrocyclic peptides. Here we report a general framework that leverages the computational power of Rosetta for large-scale backbone sampling and energy scoring, followed by side-chain composition, to design heterochiral cyclic peptides that bind to a protein surface of interest. To showcase the applicability of our approach, we identified two peptides (PD-<i>i</i>3 and PD-<i>i</i>6) that target PD-1, a key immune checkpoint, and work as protein ligand decoys. A comprehensive biophysical evaluation confirmed their binding mechanism to PD-1 and their inhibitory effect on the PD-1/PD-L1 interaction. Finally, elucidation of their solution structures by NMR served as validation of our <i>de novo </i>design approach. We anticipate that our results will provide a general framework for designing target-specific drug-like peptides.<i></i></p>


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