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RNA-Seq based global transcriptome analysis of rice unravels the key players associated with brown planthopper resistance.
Satturu, Vanisri; Kudapa, Hima Bindu; Muthuramalingam, Pandiyan; Nadimpalli, Rama Gopal Varma; Vattikuti, Jhansi Lakshmi; Anjali, C; Satish, Lakkakula; Ramesh, Manikandan; Mulinti, Sreedhar.
Afiliação
  • Satturu V; Institute of Biotechnology, Professor Jayashankar Telangana State Agricultural University, Rajendranagar, Hyderabad, Telangana, India. Electronic address: vanisreedhar1994@gmail.com.
  • Kudapa HB; International Crops Research for the Semi-Arid Tropics (ICRISAT), Patancheru, Hyderabad, India.
  • Muthuramalingam P; Department of Biotechnology, Science Campus, Alagappa University, Karaikudi 630003, Tamil Nadu, India; Department of Biotechnology, Sri Shakthi Institute of Engineering and Technology, Coimbatore 641062, Tamil Nadu, India.
  • Nadimpalli RGV; Rice Research Center, ARI, Professor Jayashankar Telangana State Agricultural University, Rajendranagar, Hyderabad, India.
  • Vattikuti JL; ICAR-Indian Institute of Rice Research (ICAR-IIRR), Rajendranagar, Hyderabad, India.
  • Anjali C; Institute of Biotechnology, Professor Jayashankar Telangana State Agricultural University, Rajendranagar, Hyderabad, Telangana, India.
  • Satish L; Department of Biotechnology Engineering, Ben-Gurion University of the Negev, Beer Sheva 84105, Israel. Electronic address: lsatish@post.bgu.ac.il.
  • Ramesh M; Department of Biotechnology, Science Campus, Alagappa University, Karaikudi 630003, Tamil Nadu, India.
  • Mulinti S; RS&RRS, Rudrur, Professor Jayashankar Telangana State Agricultural University, Nizamabad, Telangana, India.
Int J Biol Macromol ; 191: 118-128, 2021 Nov 30.
Article em En | MEDLINE | ID: mdl-34534586
ABSTRACT
Rice production is adversely affected by biotic and abiotic stresses. Among the biotic stresses, brown planthopper (BPH) majorly affects the rice yield. Comprehending the genome and candidate players is essential for the resistance to BPH. This holistic study aimed to dissect the complex BPH resistance mechanism of the host against pathogen. Transcriptome analysis of six samples comprising of two-resistant (PTB33, BM71) and one-sensitive (TN1) genotypes under control and stress conditions was carried-out. A total of 148 million filtered reads were generated after quality check. Among these, 127 million filtered reads were aligned to the rice genome. These aligned reads were taken for further analysis. A total of 14,358 DEGs across the genotypes under stress were identified. Of which, 4820 DEGs were functionally annotated from 9266 uniquely mapped DEGs. Fifty-five potential BPH stress players were selected from the in-silico analysis of DEGs. qRT-PCR results revealed key players were differentially regulated in both resistant and sensitive genotypes. Spatio-temporal and hormone level expression signature of 55 BPH associated players were analyzed and noted their differential expression in tissues and hormones, respectively. This study inferred the significant differences in gene expression signatures may contribute to the process of BPH resistance mechanism in rice.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Oryza / Imunidade Vegetal / Transcriptoma / Hemípteros Tipo de estudo: Risk_factors_studies Limite: Animals Idioma: En Revista: Int J Biol Macromol Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Oryza / Imunidade Vegetal / Transcriptoma / Hemípteros Tipo de estudo: Risk_factors_studies Limite: Animals Idioma: En Revista: Int J Biol Macromol Ano de publicação: 2021 Tipo de documento: Article