Harnessing the Genetic Diversity and Metabolic Potential of Extremophilic Microorganisms through the Integration of Metagenomics and Single-Cell Genomics

Microorganisms thriving under extreme environments have proven to be an invaluable resource for metabolic products and processes. While studies carried out on microbial characterization of extremophilic environments during golden era of microbiology adapted a ‘reductionist approach’ and focused on isolation, purification and characterization of individual microbial isolates; the recent studies have implemented a holistic approach using both culture-dependent and culture-independent approaches for characterization of total microbial diversity of the extreme environments. Findings from these studies have unmistakably indicated that microbial diversity within extreme environments is much higher than anticipated. Consequently, unraveling the taxonomic and metabolic characteristics of microbial diversity in extreme environments has emerged as an imposing challenge in the field of microbiology and microbial biotechnology. To a great extent, this challenge has been addressed with inception and advancement of next-generation sequencing and computing methods for NGS data analyses. However, further it has been realized that in order to maximize the exploitation of genetic and metabolic diversity of extremophilic microbial diversity, the metagenomic approaches must be combined synergistically with single-cell genomics. A synergistic approach is expected to provide comprehensions into the biology of extremophilic microorganism, including their metabolic potential, molecular mechanisms of adaptations, unique genomic features including codon reassignments etc

Seed nutritional quality in lentil (Lens culinaris) under different moisture regimes

The world’s most challenging environmental issue is climate change. Agricultural productivity and nutritional quality are both substantially threatened by extreme and unpredicted climate events. To develop climate resilient cultivars, stress tolerance along with the grain quality needs to be prioritized. Present study was planned to assess the effect of water limitation on seed quality in lentil, a cool season legume crop. A pot experiment was carried out with 20 diverse lentil genotypes grown under normal (80% field capacity) and limited (25% field capacity) soil moisture. Seed protein, Fe, Zn, phytate, protein and yield were recorded in both the conditions. Seed yield and weight were reduced by 38.9 and 12.1%, respectively, in response to stress. Seed protein, Fe, Zn, its availability as well as antioxidant properties also reduced considerably, while genotype dependent variation was noted with respect to seed size traits. Positive correlation was observed between seed yield and antioxidant activity, seed weight and Zn content and availability in stress. Based on principal component analysis and clustering, IG129185, IC559845, IC599829, IC282863, IC361417, IG334, IC560037, P8114 and L5126 were promising genotypes for seed size, Fe and protein content, while, FLIP-96-51, P3211 and IC398019 were promising for yield, Zn and antioxidant capacity. Identified lentil genotypes can be utilized as trait donors for quality improvement in lentil breedin

A synthetic ditryptophan conjugate that rescues bacteria from mercury toxicity through complexation

The synthesis of ditryptophan-pyridine conjugates and their binding to mercury ions is described. Conjugate 3 shows an excellent ability to sequester mercury from solution and rescue bacterial growth in a concentration-dependent survival assay. It is proposed that such compounds, composed primarily of bioessential/biodegradable components, could be potentially used as sequestrating agents for the removal of Hg(II) ions in detoxification strategies

Review on Nanoparticles and Nanostructured Materials: Bioimaging, Biosensing, Drug Delivery, Tissue Engineering, Antimicrobial, and Agro-Food Applications

In the last few decades, the vast potential of nanomaterials for biomedical and healthcare applications has been extensively investigated. Several case studies demonstrated that nanomaterials can offer solutions to the current challenges of raw materials in the biomedical and healthcare fields. This review describes the different nanoparticles and nanostructured material synthesis approaches and presents some emerging biomedical, healthcare, and agro-food applications. This review focuses on various nanomaterial types (e.g., spherical, nanorods, nanotubes, nanosheets, nanofibers, core-shell, and mesoporous) that can be synthesized from different raw materials and their emerging applications in bioimaging, biosensing, drug delivery, tissue engineering, antimicrobial, and agro-foods. Depending on their morphology (e.g., size, aspect ratio, geometry, porosity), nanomaterials can be used as formulation modifiers, moisturizers, nanofillers, additives, membranes, and films. As toxicological assessment depends on sizes and morphologies, stringent regulation is needed from the testing of efficient nanomaterials dosages. The challenges and perspectives for an industrial breakthrough of nanomaterials are related to the optimization of production and processing conditions

Biomedical Applications of Carbon Nanomaterials: Fullerenes, Quantum Dots, Nanotubes, Nanofibers, and Graphene

Carbon nanomaterials (CNMs) have received tremendous interest in the area of nanotechnology due to their unique properties and flexible dimensional structure. CNMs have excellent electrical, thermal, and optical properties that make them promising materials for drug delivery, bioimaging, biosensing, and tissue engineering applications. Currently, there are many types of CNMs, such as quantum dots, nanotubes, nanosheets, and nanoribbons; and there are many others in development that promise exciting applications in the future. The surface functionalization of CNMs modifies their chemical and physical properties, which enhances their drug loading/release capacity, their ability to target drug delivery to specific sites, and their dispersibility and suitability in biological systems. Thus, CNMs have been effectively used in different biomedical systems. This review explores the unique physical, chemical, and biological properties that allow CNMs to improve on the state of the art materials currently used in different biomedical applications. The discussion also embraces the emerging biomedical applications of CNMs, including targeted drug delivery, medical implants, tissue engineering, wound healing, biosensing, bioimaging, vaccination, and photodynamic therapy

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Not AvailableBundelkhand region of central India is characterized by erratic rainfall with high frequency of drought. The region has undulating topography, poor groundwater resources and shallow soils with low soil fertility, resulting in frequent crop failures. A study was undertaken to assess the potential of bamboo based agroforestry system to enhance productivity and economic returns at the research farm of ICAR Central Agroforestry Research Institute, Jhansi (Uttar Pradesh), India, which lies in the Bundelkhand region of central India. The 7-year study (2007–2015) recorded 2906 number of bamboo culms ha-1 at 10 m 9 10 m spacing compared to 2409 culms under 12 m 9 10 m spacing. Averaged over 3 years (5th, 6th and 7th year), bamboo culm yield from agroforestry (Dendrocalamus strictus ? Sesamum indicum–Cicer arietinum)/(bamboo ? sesame–chickpea) was higher by 3.20 and 4.96% over sole bamboo in 12 m 9 10 m and 10 m 9 10 m, respectively. The intercrop productivity started declining from 3rd year onwards, and the extent of reduction in productivity was to the tune of 26.1, 23.7, 24.2, 17.4 and 17.4% during the 3rd, 4th, 5th, 6th and 7th year, respectively. From 5th year onwards, the harvested bamboo culms contributed to the improvement in the system productivity and it was 29 and 236% higher than the sole crops and sole bamboo, respectively, during the 7th year. Financial analysis showed that bamboo-based agroforestry system (bamboo ? sesame–chickpea) planted at 12 m 9 10m spacing was having high land equivalent ratio (1.95–2.14) and was more profitable than arable cropping and sole bamboo. Therefore, the Dendrocalamus strictus-based agroforestry system can be a potential alternative to arable cropping in semi-arid tropics of central India to enhance productivity and economic returns.Not Availabl

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Not AvailableBundelkhand region of central India is characterized by erratic rainfall with high frequency of drought. The region has undulating topography, poor groundwater resources and shallow soils with low soil fertility, resulting in frequent crop failures. A study was undertaken to assess the potential of bamboobased agroforestry system to enhance productivity and economic returns at the research farm of ICAR-Central Agroforestry Research Institute, Jhansi (Uttar Pradesh), India, which lies in the Bundelkhand region of central India. The 7-year study (2007–2015) recorded 2906 number of bamboo culms ha-1 at 10 m 9 10 m spacing compared to 2409 culms under 12 m 9 10 m spacing. Averaged over 3 years (5th, 6th and 7th year), bamboo culm yield from agroforestry (Dendrocalamus strictus ? Sesamum indicum–Cicer arietinum)/(bamboo ? sesame–chickpea) was higher by 3.20 and 4.96% over sole bamboo in 12 m 9 10 m and 10 m 9 10 m, respectively. The intercrop productivity started declining from 3rd year onwards, and the extent of reduction in productivity was to the tune of 26.1, 23.7, 24.2, 17.4 and 17.4% during the 3rd, 4th, 5th, 6th and 7th year, respectively. From 5th year onwards, the harvested bamboo culms contributed to the improvement in the system productivity and it was 29 and 236% higher than the sole crops and sole bamboo, respectively, during the 7th year. Financial analysis showed that bamboo-based agroforestry system (bamboo ? sesame–chickpea) planted at 12 m 9 10m spacing was having high land equivalent ratio (1.95–2.14) and was more profitable than arable cropping and sole bamboo. Therefore, the Dendrocalamus strictus-based agroforestry system can be a potential alternative to arable cropping in semi-arid tropics of central India to enhance productivity and economic returns.Not Availabl

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Not AvailableBundelkhand region of central India is characterized by erratic rainfall with high frequency of drought. The region has undulating topography, poor groundwater resources and shallow soils with low soil fertility, resulting in frequent crop failures. A study was undertaken to assess the potential of bamboo based agroforestry system to enhance productivity and economic returns at the research farm of ICAR-Central Agroforestry Research Institute, Jhansi (Uttar Pradesh), India, which lies in the Bundelkhand region of central India. The 7-year study (2007–2015) recorded 2906 number of bamboo culms ha-1 at 10 m 9 10 m spacing compared to 2409 culms under 12 m 9 10 m spacing. Averaged over 3 years (5th, 6th and 7th year), bamboo culm yield from agroforestry (Dendrocalamus strictus ? Sesamum indicum–Cicer arietinum)/(bamboo ? sesame–chickpea) was higher by 3.20 and 4.96% over sole bamboo in 12 m 9 10 m and 10 m 9 10 m, respectively. The intercrop productivity started declining from 3rd year onwards, and the extent of reduction in productivity was to the tune of 26.1, 23.7, 24.2, 17.4 and 17.4% during the 3rd, 4th, 5th, 6th and 7th year, respectively. From 5th year onwards, the harvested bamboo culms contributed to the improvement in the system productivity and it was 29 and 236% higher than the sole crops and sole bamboo, respectively, during the 7th year. Financial analysis showed that bamboo-based agroforestry system (bamboo ? sesame–chickpea) planted at 12 m 9 10m spacing was having high land equivalent ratio (1.95–2.14) and was more profitable than arable cropping and sole bamboo. Therefore, the Dendrocalamus strictus-based agroforestry system can be a potential alternative to arable cropping in semi-arid tropics of central India to enhance productivity and economic returns.Not Availabl

Global age-sex-specific mortality, life expectancy, and population estimates in 204 countries and territories and 811 subnational locations, 1950–2021, and the impact of the COVID-19 pandemic: a comprehensive demographic analysis for the Global Burden of Disease Study 2021

BackgroundEstimates of demographic metrics are crucial to assess levels and trends of population health outcomes. The profound impact of the COVID-19 pandemic on populations worldwide has underscored the need for timely estimates to understand this unprecedented event within the context of long-term population health trends. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 provides new demographic estimates for 204 countries and territories and 811 additional subnational locations from 1950 to 2021, with a particular emphasis on changes in mortality and life expectancy that occurred during the 2020–21 COVID-19 pandemic period.Methods22 223 data sources from vital registration, sample registration, surveys, censuses, and other sources were used to estimate mortality, with a subset of these sources used exclusively to estimate excess mortality due to the COVID-19 pandemic. 2026 data sources were used for population estimation. Additional sources were used to estimate migration; the effects of the HIV epidemic; and demographic discontinuities due to conflicts, famines, natural disasters, and pandemics, which are used as inputs for estimating mortality and population. Spatiotemporal Gaussian process regression (ST-GPR) was used to generate under-5 mortality rates, which synthesised 30 763 location-years of vital registration and sample registration data, 1365 surveys and censuses, and 80 other sources. ST-GPR was also used to estimate adult mortality (between ages 15 and 59 years) based on information from 31 642 location-years of vital registration and sample registration data, 355 surveys and censuses, and 24 other sources. Estimates of child and adult mortality rates were then used to generate life tables with a relational model life table system. For countries with large HIV epidemics, life tables were adjusted using independent estimates of HIV-specific mortality generated via an epidemiological analysis of HIV prevalence surveys, antenatal clinic serosurveillance, and other data sources. Excess mortality due to the COVID-19 pandemic in 2020 and 2021 was determined by subtracting observed all-cause mortality (adjusted for late registration and mortality anomalies) from the mortality expected in the absence of the pandemic. Expected mortality was calculated based on historical trends using an ensemble of models. In location-years where all-cause mortality data were unavailable, we estimated excess mortality rates using a regression model with covariates pertaining to the pandemic. Population size was computed using a Bayesian hierarchical cohort component model. Life expectancy was calculated using age-specific mortality rates and standard demographic methods. Uncertainty intervals (UIs) were calculated for every metric using the 25th and 975th ordered values from a 1000-draw posterior distribution.FindingsGlobal all-cause mortality followed two distinct patterns over the study period: age-standardised mortality rates declined between 1950 and 2019 (a 62·8% [95% UI 60·5–65·1] decline), and increased during the COVID-19 pandemic period (2020–21; 5·1% [0·9–9·6] increase). In contrast with the overall reverse in mortality trends during the pandemic period, child mortality continued to decline, with 4·66 million (3·98–5·50) global deaths in children younger than 5 years in 2021 compared with 5·21 million (4·50–6·01) in 2019. An estimated 131 million (126–137) people died globally from all causes in 2020 and 2021 combined, of which 15·9 million (14·7–17·2) were due to the COVID-19 pandemic (measured by excess mortality, which includes deaths directly due to SARS-CoV-2 infection and those indirectly due to other social, economic, or behavioural changes associated with the pandemic). Excess mortality rates exceeded 150 deaths per 100 000 population during at least one year of the pandemic in 80 countries and territories, whereas 20 nations had a negative excess mortality rate in 2020 or 2021, indicating that all-cause mortality in these countries was lower during the pandemic than expected based on historical trends. Between 1950 and 2021, global life expectancy at birth increased by 22·7 years (20·8–24·8), from 49·0 years (46·7–51·3) to 71·7 years (70·9–72·5). Global life expectancy at birth declined by 1·6 years (1·0–2·2) between 2019 and 2021, reversing historical trends. An increase in life expectancy was only observed in 32 (15·7%) of 204 countries and territories between 2019 and 2021. The global population reached 7·89 billion (7·67–8·13) people in 2021, by which time 56 of 204 countries and territories had peaked and subsequently populations have declined. The largest proportion of population growth between 2020 and 2021 was in sub-Saharan Africa (39·5% [28·4–52·7]) and south Asia (26·3% [9·0–44·7]). From 2000 to 2021, the ratio of the population aged 65 years and older to the population aged younger than 15 years increased in 188 (92·2%) of 204 nations.InterpretationGlobal adult mortality rates markedly increased during the COVID-19 pandemic in 2020 and 2021, reversing past decreasing trends, while child mortality rates continued to decline, albeit more slowly than in earlier years. Although COVID-19 had a substantial impact on many demographic indicators during the first 2 years of the pandemic, overall global health progress over the 72 years evaluated has been profound, with considerable improvements in mortality and life expectancy. Additionally, we observed a deceleration of global population growth since 2017, despite steady or increasing growth in lower-income countries, combined with a continued global shift of population age structures towards older ages. These demographic changes will likely present future challenges to health systems, economies, and societies. The comprehensive demographic estimates reported here will enable researchers, policy makers, health practitioners, and other key stakeholders to better understand and address the profound changes that have occurred in the global health landscape following the first 2 years of the COVID-19 pandemic, and longer-term trends beyond the pandemic