@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 = {<p class="rtejustify">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.</p>
},
	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}
}
@article {538,
	title = {Genome analysis of rice-blast fungus Magnaporthe oryzae field isolates from southern India.},
	journal = {Genom Data},
	volume = {5},
	year = {2015},
	month = {2015 Sep},
	pages = {284-91},
	abstract = {<p>The Indian subcontinent is the center of origin and diversity for rice (Oryza sativa L.). The O. sativa ssp. indica is a major food crop grown in India, which occupies the first and second position in area and production, respectively. Blast disease caused by Magnaporthe oryzae is a major constraint to rice production. Here, we report the analysis of genome architecture and sequence variation of two field isolates, B157 and MG01, of the blast fungus from southern India. The 40\&nbsp;Mb genome of B157 and 43\&nbsp;Mb genome of MG01 contained 11,344 and 11,733 predicted genes, respectively. Genomic comparisons unveiled a large set of SNPs and several isolate specific genes in the Indian blast isolates. Avr genes were analyzed in several sequenced Magnaporthe strains; this analysis revealed the presence of Avr-Pizt and Avr-Ace1 genes in all the sequenced isolates. Availability of whole genomes of field isolates from India will contribute to global efforts to understand genetic diversity of M. oryzae population and to track the emergence of virulent pathotypes.</p>
},
	doi = {10.1016/j.gdata.2015.06.018},
	author = {Gowda, Malali and Shirke, Meghana D and Mahesh, H B and Chandarana, Pinal and Rajamani, Anantharamanan and Chattoo, Bharat B}
}
