@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 {8885, title = {Comparative Metagenomics Reveal Phylum Level Temporal and Spatial Changes in Mycobiome of Belowground Parts of Crocus sativus [Next Gen Genomics Facility]}, journal = {PLoS One}, volume = {11}, year = {2016}, month = {2016}, pages = {e0163300}, abstract = {

Plant-fungal associations have been explored by routine cultivation based approaches and cultivation based approaches cannot catalogue more than 5\% of fungal diversity associated with any niche. In the present study, an attempt has been made to catalogue fungal diversity associated with belowground parts i.e. rhizosphere and cormosphere, of Crocus sativus (an economically important herb) during two growth stages, using cultivation independent ITS gene targeted approach, taking bulk soil as reference. The 454 pyrosequencing sequence data analysis suggests that the fungal diversity was niche and growth stage specific. Fungi diversity, in the present case, was not only different between the two organs (roots and corm) but the dominance pattern varies between the cormosphere during two growth stages. Zygomycota was dominant fungal phylum in the rhizosphere whereas Basidiomycota was dominant in cormosphere during flowering stage. However in cormosphere though Basidiomycota was dominant phylum during flowering stage but Zygomycota was dominant during dormant stage. Interestingly, in cormosphere, the phyla which was dominant at dormant stage was rare at flowering stage and vice-versa (Basidiomycota: Flowering = 93.2\% Dormant = 0.05\% and Zygomycota: Flowering = 0.8\% Dormant = 99.7\%). At genus level, Rhizopus was dominant in dormant stage but was rare in flowering stage (Rhizopus: Dormant = 99.7\% Flowering = 0.55\%). This dynamics is not followed by the bulk soil fungi which was dominated by Ascomycota during both stages under study. The genus Fusarium, whose species F. oxysporum causes corm rot in C. sativus, was present during both stages with slightly higher abundance in roots. Interestingly, the abundance of Rhizopus varied a great deal in two stages in cormosphere but the abundance of Fusarium was comparable in two growth stages (Bulk soil Flowering = 0.05\%, Rhizosphere Flowering = 1.4\%, Cormosphere Flowering = 0.06\%, Bulk soil Dormant = 2.47\% and cormosphere dormant = 0.05\%). This is the first report on the fungal diversity associated with the root of Crocus sativus and first report on the fungi associated with corm of any plant with the temporal and spatial variation in the fungal community structure.

}, issn = {1932-6203}, doi = {10.1371/journal.pone.0163300}, author = {Ambardar, Sheetal and Singh, Heikham Russiachand and Gowda, Malali and Vakhlu, Jyoti} } @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} }