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ABSTRACT: Objectives: This study investigated the draft genome and phylogeny of an extremely drug-resistant and novel sequence type Klebsiella pneumoniae isolated from a paediatric bloodstream infection. Methods: An isolate from a 7-year-old child with severe respiratory infection was identified, and the whole genome was sequenced using the Illumina MiSeq platform. High-quality reads were de novo assembled via Unicycler and annotated via PROKKA. Antimicrobial resistance genes, virulence factors, and plasmid and phage sequences were identified using the resistance gene identifier, VFanalyzer, Plasmidfinder, and PHASTER, respectively. Phylogenetics of closely related strains were inferred using core-genome multi-locus sequence typing and single nucleotide polymorphism. Results: The draft genome of carbapenem-resistant K. pneumoniae RKS87 was 5 580 330 bp in size, with a GC content of 57.73%. The final assembly resulted in 38 contigs comprising 5075 CDS, 124 pseudo genes, 83 tRNA, 25 rRNA, and 10 ncRNA. The strain was assigned to a novel sequence type, ST5378, and harboured blaSHV-11, blaCTX-M-15, blaTEM-1, blaNDM-1, APH(3′)-VI, OqxA, QnrS1, and fosA. We also identified the mutations in outer membrane porin (OmpK36 and OmpK37) and two-component system genes (PmrB and EptB). Three biomarkers (iroE, iroN, and iutA) associated with hypervirulent phenotype were also present in the genome. Phylogenetics of closely related strains revealed the clonal lineage of ST2938. Conclusions: The genome sequence and phylogenetics of the strain offer valuable insight into the clonal lineage, resistance genes, and pathogenicity of the novel sequence type ST5378.

Objectives: The emergence and outbreak of colistin-resistant CRKP (carbapenem-resistant Klebsiella pneumoniae) have been the major global public threat in recent years. Present study emphasized the genome-wide distribution, characterization of drug resistance virulence genes in an extremely drug-resistant (XDR) Klebsiella pneumoniae strain isolated from a patient with drug-induced hepatitis, hospitalized in a tertiary care facility in India. Methods: The total genomic DNA was sequenced using the Illumina Hiseq platform. De novo assembly of reads was done using CLC genomics workbench. Genome annotation was performed using PROKKA. Sequence typing (ST), virulence-related genes and antimicrobial resistance genes were predicted from genome sequences. Phenotypic evaluation of efflux pump function was done in presence of colistin and efflux pump inhibitor (EPI). Result: Antibiogram analysis confirmed the isolate to be XDR. The number of contigs in assembly file was found to be 867 with a total of 6,060,836 bases and a total of 5547 coding sequences. The isolate exhibited high resistance to colistin due to mutations in two-component systems and predicted to be efflux mediated. The sequence typing of Klebsiella pneumoniae SDL79 is assigned to ST147. Conclusion: This is the first whole genome analysis of XDR Klebsiella pneumoniae ST147 from a hospital conferring co-resistance to last resort drugs. However, the detailed molecular mechanism behind the drug resistance will be carried out in our future endeavors.

Worldwide concern about the energy security and search for alternate energy source as fuel has created attention because of increased demand and fast depleting nonrenewable resources of fuel. In order to meet the increasing energy demand, we need to approach the sustainable, cost-effective alternates which should be able to cater unlimited resource utilization potential. Among the next-generation biofuels, butanol is the one which shows the ability to meet both the current and upcoming future energy crisis over the existing biofuels, for its distinguished merits; high energy density, high air-fuel ratio and lower hygroscopicity which make butanol superior over the other. In this review, we summarized all the methods attempted to screen out a high-stress tolerant strain through the various approach like; variation in sampling methods, media optimization, manipulation in physiochemical parameters etc. and then adapting them to high butanol environment. Secondly, the possible techniques involved in the identification of butanol tolerant gene and its overexpression in heterologous host or butanol tolerant microbes through genetic engineering, manipulating the metabolic pathway through engineering synergistically integrated with other disciplines such as synthetic biology as well as systems biology, has been discussed in detail. Apart from this, the present review also highlights the various bottlenecks, achievements and prospects for the commercialization of the butanol as the next generation of biofuel.

Zingiber officinale Rosc., known as ginger, is an Asian crop, popularly used in every household kitchen and commercially used in bakery, beverage, food and pharmaceutical industries. The present study deals with de novo transcriptome assembly of an elite ginger cultivar Suruchi by next generation sequencing methodology. From the analysis 10.9 GB raw data was obtained which can be available in NCBI accession number SAMN03761185. We identified 41,969 transcripts using Trinity RNA-Seq from ginger rhizome of Suruchi variety from Odisha. The transcript length varied from 300 bp to 8404 bp with a total length of 3,96,40,526 bp and N50 of 1251 bp. To the best of our knowledge, this is the first transcriptome data of an elite ginger cultivar Suruchi released for Odisha state of India which will help molecular biologists to develop genetic markers for identification of cultivars.

Ginger (Zingiber officinale Rosc.), a well-known member of family Zingiberaceae, is bestowed with number of medicinal properties which is because of the secondary metabolites, essential oil and oleoresin, it contains in its rhizome. The drug yielding potential is known to depend on agro-climatic conditions prevailing at the place cultivation. Present study deals with comparative transcriptome analysis of two sample of elite ginger variety Suprabha collected from two different agro-climatic zones of Odisha. Transcriptome assembly for both the samples was done using next generation sequencing methodology. The raw data of size 10.8 and 11.8 GB obtained from analysis of two rhizomes S1Z4 and S2Z5 collected from Bhubaneswar and Koraput and are available in NCBI accession number SAMN03761169 and SAMN03761176 respectively. We identified 60,452 and 54,748 transcripts using trinity tool respectively from ginger rhizome of S1Z4 and S2Z5. The transcript length varied from 300 bp to 15,213 bp and 8988 bp and N50 value of 1415 bp and 1334 bp respectively for S1Z4 and S2Z5. To the best of our knowledge, this is the first comparative transcriptome analysis of elite ginger cultivars Suprabha from two different agro-climatic conditions of Odisha, India which will help to understand the effect of agro-climatic conditions on differential expression of secondary metabolites.