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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.

The emergence of colistin-carbapenem-resistant Klebsiella pneumoniae (CCR-Kp) in bloodstream infection results in high mortality, and virulence factor contributes further to the difficulty of treatment. A total of 158 carbapenem-resistant K. pneumoniae (CRKP) isolates causing bloodstream infection were collected from three Indian tertiary care hospitals during the 9-month study period, of which 27 isolates exhibited resistance to both colistin and carbapenem antibiotics. In this study, all the strains were characterized for antimicrobial resistance, virulence factors and capsular serotypes that facilitate the development of colistin and carbapenem-resistant K.pneumoniae (CCR-Kp) in bloodstream infection. Fourteen isolates displayed extremely drug resistance (XDR), susceptible only to tigecycline, and the remaining 13 isolates displayed multidrug resistance (MDR). The gene prevalence analysis for CCR-Kp isolates showed the predominance of bla(KPC) (81.48%) followed by bla(NDM) (62.96%), bla(VIM) (37.03%) and bla(IMP) (18.51%) genes. The distribution of virulence genes was found to be fimH (81.48%), wabG (59.25%), mrkD (55.56%), entB (48.15%), irp1 (33.33%), and rmpA (18.52%). The capsular serotypes K1, K2, K5 and K54 have been identified in 16 isolates. The absence of plasmid-mediated colistin resistance (mcr) genes implies the involvement of other mechanisms. The ERIC and (GTG)(5) molecular typing methods detected 18 and 22 distinct clustering patterns among the CCR-Kp isolates, respectively. A strong correlation between ERIC and (GTG)5 genotyping method was established with antimicrobial resistance patterns and virulence determinants at P

Lipase based formulations has been a rising interest to laundry detergent industry for their ecofriendly property over phosphate-based counterparts and compatibility with chemical detergents ingredients. A thermo-stable Anoxybacillus sp. ARS-1 isolated from Taptapani Hotspring, India was characterized for optimum lipase production employing statistical model central composite design (CCD) under four independent variables (temperature, pH, % moisture and bio-surfactant) by solid substrate fermentation (SSF) using mustard cake. The output was utilized to find the effect of parameters and their interaction employing response surface methodology (RSM). A quadratic regression with R2¼0.955 established the model to be statically best fitting and a predicted highest lipase production of 29.4IU/g at an optimum temperature of 57.5oC, pH 8.31, moisture 50% and 1.2mg of bio-surfactant. Experimental production of 30.3IU/g lipase at above conditions validated the fitness of model. Anoxybacillus sp. ARS-1 produced lipase was found to resist almost all chemical detergents as well as common laundry detergent, proving it to be a prospective additive for incorporation.

The emergence of extended-spectrum β-lactamase (ESBL)-producing Klebsiella pneumoniae has been increasing rapidly across the world. The presence of virulence factors in ESBL producers further adds to the pathogenicity and severity of infection, which often complicate empirical therapy and sometimes result in treatment failures. In the present study, 227 non-repeated clinical isolates of K. pneumoniae obtained from different clinical specimens from a tertiary care hospital in India were analyzed to detect the genes responsible for ESBL production (blaTEM, blaCTX-M, and blaSHV), virulence (fimH-1, mrkD, entB, irp-1), and capsule production (K1-K2). Phenotypically identified 72 ESBL producing K. pneumoniae isolates were further subjected to PCR based genotypic analysis but only 20 were found to have at least one of the ESBL producing genes. blaTEM was the most predominant gene (100%), followed by blaSHV (90%), and blaCTX-M (85%). Similarly, the most common virulence genes were fimH-1 (70%), entB (65%), markD (55%), irp-1 (25%), K1 (25%), and K2 (20%). REP-PCR profile separated them into five major clusters (I-V), indicating the existing heterogeneity among the isolates. The resistance profile data obtained from the present study can serve as the information base to understand the infection pattern prevailing in the hospital and for physicians to recommend suitable antibiotics for the patients.

The emergence of extended-spectrum β-lactamase (ESBL)-producing Klebsiella pneumoniae has been increasing rapidly across the world. The presence of virulence factors in ESBL producers further adds to the pathogenicity and severity of infection, which often complicate empirical therapy and sometimes result in treatment failures. In the present study, 227 non-repeated clinical isolates of K. pneumoniae obtained from different clinical specimens from a tertiary care hospital in India were analyzed to detect the genes responsible for ESBL production (blaTEM, blaCTX-M, and blaSHV), virulence (fimH-1, mrkD, entB, irp-1), and capsule production (K1-K2). Phenotypically identified 72 ESBL producing K. pneumoniae isolates were further subjected to PCR based genotypic analysis but only 20 were found to have at least one of the ESBL producing genes. blaTEM was the most predominant gene (100%), followed by blaSHV (90%), and blaCTX-M (85%). Similarly, the most common virulence genes were fimH-1 (70%), entB (65%), markD (55%), irp-1 (25%), K1 (25%), and K2 (20%). REP-PCR profile separated them into five major clusters (I-V), indicating the existing heterogeneity among the isolates. The resistance profile data obtained from the present study can serve as the information base to understand the infection pattern prevailing in the hospital and for physicians to recommend suitable antibiotics for the patients.

Ginger (Zingiber officinale Rosc.) is an important herb of the family Zingiberaceae. It is accepted as a universal cure for a multitude of diseases in Indian systems of medicine and its rhizomes are equally popular as a spice ingredient throughout Asia. SNPs, the definitive genetic markers, representing the finest resolution of a DNA sequence, are abundantly found in populations having a lower rate of mutation and are used for genomic analysis. The public ESTs sequences mostly lack quality files, making high quality SNPs detection more difficult since it is exclusively based on sequence comparisons. In the present study, current dbESTs of NCBI was mined and 38115 ginger ESTs sequences were obtained and assembled into contigs using CAP3 program. In this analysis, recent software tool QualitySNP was used to detect 11523 potential SNPs sites, 8810 high quality SNPs and 1008 indels polymorphisms with a frequency of 1.61 SNPs / 10 kbp. Of ESTs libraries generated from three ginger tissues together, rhizomes had a frequency of 0.32 SNPs and 0.03 indels per 10 kbp whereas the leaves had a frequency of 2.51 SNPs and 0.23 indels per 10 kbp and root is showing relative frequency of 0.76/10 kbp SNPs and 0.02/10 kbp indels. The present analysis provides additional information about the tissue wise presence of haplotypes (222), distribution of high quality exonic (2355) and intronic (6455) SNPs and information about singletons (7538) in addition to contigs transitions and transversions ratio (0.57). Among all tissue detected SNPs, transversions number is higher in comparison to the number of transitions. Quality SNPs detected in this work can be used as markers for further ginger genetic experiments.

Odisha (East India) is home to several hot springs, of which Atri and Taptapani are the two with variation in temperature and located in the Mahanadi geothermal province having altitude 120 and 1800 ft., respectively, above sea level. Average temperature of Atri hot spring is as higher as 58 ± 5°C as compared to 48 ± 5°C of Taptapani. In-depth analysis of the microbial diversity of these hot springs through 16S rRNA deep sequencing analysis, targeting V3 region was performed using Illumina bar-coded sequencing platform. Existence of higher microbial diversity in Atri hot spring (1662 OTUs; 2708 species) as compared to Taptapani (1561 Operational Taxonomic Units [OTUs]; 2045 species) is supported by higher value of diversity indices for Atri (6.24, Shannon; 0.95, Simpson) than Taptapani (4.03, Shannon; 0.79, Simpson), probably due to favorable influence of environmental parameters around it. Irrespective of the four databases (GREENGENE, M5RNA, Ribosomal Database Project [RDP], and Small Subunit [SSU] databases) used for understanding community structure, the dominant phyla in the Atri hot spring were different from the predominant populations in the Taptapani in terms of percentage representation in different databases. From Principal Coordinates Analysis [PCoA] analysis, Atri and Taptapani metagenome, on comparison with other three metagenomes, were found to be matching with the community structure of hot springs of Gujarat, India, but differed from that of saline desert. Furthermore, predicted functional analysis in both the hot springs were found to be affiliated with carbohydrate, amino acids, energy, vitamins and cofactor, nucleotide, membrane transport metabolic pathways, and the genes involved in them, although their intensity of occurrence was varying as analyzed through PICRUSt and Tax4Fun probably due to physicochemical parameters prevailing around each hot spring. The present study for the first time has revealed the differential microbial community structure and predicted functional diversity of Atri and Taptapani hot springs of Odisha in such a great detail.

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 11.8GB 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 300bp to 15,213bp and 8988bp and N50 value of 1415bp and 1334bp 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.

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 10.9GB 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 300bp to 8404bp with a total length of 3,96,40,526bp and N50 of 1251bp. 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.