Assembly of genomic reads of elite indica rice cultivar onto 2101 reference bacterial genomes for identification of co-sequenced endophytic bacteria.

Reference based assembly of genomic reads of the elite indica rice cultivar RP Bio-226 was carried out against 2101 reference bacterial genomes using Bowtie-2 genome assembly tool. Five types of data: Number of paired end reads concordantly aligned exactly only once, number of paired end reads concordantly aligned more than once, number of mates that make the pairs aligned exactly only once, number of mates that make the pairs aligned more than once and overall percentage of alignment were collected. Interpretation of the results and identification of endophytes based on these alignment statistics are described in detail in our research article "L.

Genome inside genome: NGS based identification and assembly of endophytic Sphingopyxis granuli and Pseudomonas aeruginosa genomes from rice genomic reads.

The interactions between crop plants and the endophytic bacteria colonizing them are poorly understood and experimental methods were found to be inadequate to meet the complexities associated with the interaction. Moreover, research on endophytic bacteria was focused at host plant species level and not at cultivar level which is essential for understanding the role played by them on the productivity of specific crop genotype. High throughput genomics offers valuable tools for identification, characterization of endophytic bacteria and understand their interaction with host plants.

RNA-Seq analysis of urea nutrition responsive transcriptome of Oryza sativa elite indica cultivar RP Bio 226.

Rice yield is greatly influenced by the nitrogen and rice varieties show variation in yield. For understanding the role of urea nutrition in the yield of elite indica rice cultivar RPBio-226, the urea responsive transcriptome was sequenced and analyzed. The raw reads and the Transcriptome Shotgun Assembly project has been deposited at DDBJ/EMBL/GenBank under the accession GDKM00000000.

Proteins for breaking barriers in lignocellulosic bioethanol production.

Reduction in fossil fuel consumption by using alternate sources of energy is a major challenge facing mankind in the coming decades. Bioethanol production using lignocellulosic biomass is the most viable option for addressing this challenge. Industrial bioconversion of lignocellulosic biomass, though possible now, is not economically viable due to presence of barriers that escalate the cost of production.

Genome Sequence of Saccharomyces cerevisiae NCIM3107, Used in Bioethanol Production.

Here, we report the genome of Saccharomyces cerevisiae strain NCIM3107, used in bioethanol production. The genome size is approximately 11.8 Mb and contains 5,435 protein-coding genes.