@article {993, title = {Complete assembly of a dengue virus type 3 genome from a recent genotype III clade by metagenomic sequencing of serum.[Next Gen Genomics Facility (INT)]}, journal = {Wellcome Open Res}, volume = {3}, year = {2018}, month = {2018}, pages = {44}, abstract = {

Mosquito-borne flaviviruses, such as dengue and Japanese encephalitis virus (JEV), cause life-threatening diseases, particularly in the tropics. Here we performed unbiased metagenomic sequencing of RNA extracted from the serum of four patients and the plasma of one patient, all hospitalized at a tertiary care centre in South India with severe or prolonged febrile illness, together with the serum from one healthy control, in 2014. We identified and assembled a complete dengue virus type 3 sequence from a case of severe dengue fever. We also identified a small number of JEV sequences in the serum of two adults with febrile illness, including one with severe dengue. Phylogenetic analysis revealed that the dengue sequence belonged to genotype III. It has an estimated divergence time of 13.86 years from the most highly related Indian strains. In total, 11 amino acid substitutions were predicted for this strain in the antigenic envelope protein, when compared to the parent strain used for development of the first commercial dengue vaccine.\  We demonstrate that both genome assembly and detection of a low number of viral sequences are possible through the unbiased sequencing of clinical material. These methods may help ascertain causal agents for febrile illnesses with no known cause.

}, issn = {2398-502X}, doi = {10.12688/wellcomeopenres.14438.2}, author = {Dias, Mary and Pattabiraman, Chitra and Siddappa, Shilpa and Gowda, Malali and Shet, Anita and Smith, Derek and Muehlemann, Barbara and Tamma, Krishnapriya and Solomon, Tom and Jones, Terry and Krishna, Sudhir} } @article {814, title = {Recovery of Five Complete Influenza A(H1N1)pdm09 Genome Sequences from the 2015 Influenza Outbreak in India by Metagenomic Sequencing. [Next Gen Genomics Facility (INT)]}, journal = {Genome Announc}, volume = {6}, year = {2018}, month = {2018 Jun 28}, abstract = {

Five complete (H1N1)pdm09 viral sequences were recovered from hospitalized individuals during the 2015 influenza outbreak by metagenomic sequencing. Four of the genomes are from oropharyngeal swabs, and one is from an isolate. All five sequences belong to an emerging 6B clade. Studying them further is critical for outbreak preparedness.

}, issn = {2169-8287}, doi = {10.1128/genomeA.00511-18}, author = {Dash, Paban Kumar and Pattabiraman, Chitra and Tandel, Kundan and Sharma, Shashi and Kumar, Jyoti S and Siddappa, Shilpa and Gowda, Malali and Krishna, Sudhir and Parida, Manmohan} } @article {499, title = {Comprehensive analyses of genomes, transcriptomes and metabolites of neem tree. [Mass spectrometry - Metabolomics]}, journal = {PeerJ}, volume = {3}, year = {2015}, month = {2015}, pages = {e1066}, abstract = {

Neem (Azadirachta indica A. Juss) is one of the most versatile tropical evergreen tree species known in India since the Vedic period (1500 BC-600 BC). Neem tree is a rich source of limonoids, having a wide spectrum of activity against insect pests and microbial pathogens. Complex tetranortriterpenoids such as azadirachtin, salanin and nimbin are the major active principles isolated from neem seed. Absolutely nothing is known about the biochemical pathways of these metabolites in neem tree. To identify genes and pathways in neem, we sequenced neem genomes and transcriptomes using next generation sequencing technologies. Assembly of Illumina and 454 sequencing reads resulted in 267 Mb, which accounts for 70\% of estimated size of neem genome. We predicted 44,495 genes in the neem genome, of which 32,278 genes were expressed in neem tissues. Neem genome consists about 32.5\% (87 Mb) of repetitive DNA elements. Neem tree is phylogenetically related to citrus, Citrus sinensis. Comparative analysis anchored 62\% (161 Mb) of assembled neem genomic contigs onto citrus chromomes. Ultrahigh performance liquid chromatography-mass spectrometry-selected reaction monitoring (UHPLC-MS/SRM) method was used to quantify azadirachtin, nimbin, and salanin from neem tissues. Weighted Correlation Network Analysis (WCGNA) of expressed genes and metabolites resulted in identification of possible candidate genes involved in azadirachtin biosynthesis pathway. This study provides genomic, transcriptomic and quantity of top three neem metabolites resource, which will accelerate basic research in neem to understand biochemical pathways.

}, doi = {10.7717/peerj.1066}, author = {Kuravadi, Nagesh A and Yenagi, Vijay and Rangiah, Kannan and Mahesh, H B and Rajamani, Anantharamanan and Shirke, Meghana D and Russiachand, Heikham and Loganathan, Ramya Malarini and Shankara Lingu, Chandana and Siddappa, Shilpa and Ramamurthy, Aishwarya and Sathyanarayana, B N and Gowda, Malali} }