00781nas a2200205 4500008004100000022001400041245012100055210006900176260001200245300000900257490000700266100002300273700001800296700002300314700001800337700002300355700004200378700002700420856012800447 2022 eng d a0972-232700aGut microbiota dysbiosis in patients with intracranial sino-venous thrombosis and acute ischemic stroke in the young0 aGut microbiota dysbiosis in patients with intracranial sinovenou cSEP-OCT a980+0 v251 aPrabhu, Varsha, A.1 aRajput, Vinay1 aYadav, Rakeshkumar1 aGohil, Kushal1 aDharne, Mahesh, S.1 aUnnikrishnan, Mazhuvancherry, Kesavan1 aGorthi, Sankar, Prasad uhttps://library.ncl.res.in/content/gut-microbiota-dysbiosis-patients-intracranial-sino-venous-thrombosis-and-acute-ischemic03254nas a2200493 4500008004100000022001400041245016200055210006900217260000800286300001800294490000700312520171400319653002802033653001302061653001802074653001002092653003102102653001202133653001802145653001502163653001502178653003402193100001802227700002002245700001802265700002302283700001902306700001902325700002102344700002102365700002102386700001902407700002402426700002502450700001802475700001802493700001902511700001602530700001902546700001902565700002602584700001902610856013102629 2023 eng d a0944-134400aGenomic surveillance reveals early detection and transition of delta to omicron lineages of SARS-CoV-2 variants in wastewater treatment plants of Pune, India0 aGenomic surveillance reveals early detection and transition of d cDEC a118976-1189880 v303 a

The COVID-19 pandemic has emphasized the urgency for rapid public health surveillance methods to detect and monitor the transmission of infectious diseases. The wastewater-based epidemiology (WBE) has emerged as a promising tool for proactive analysis and quantification of infectious pathogens within a population before clinical cases emerge. In the present study, we aimed to assess the trend and dynamics of SARS-CoV-2 variants using a longitudinal approach. Our objective included early detection and monitoring of these variants to enhance our understanding of their prevalence and potential impact. To achieve our goals, we conducted real-time quantitative polymerase chain reaction (RT-qPCR) and Illumina sequencing on 442 wastewater (WW) samples collected from 10 sewage treatment plants (STPs) in Pune city, India, spanning from November 2021 to April 2022. Our comprehensive analysis identified 426 distinct lineages representing 17 highly transmissible variants of SARS-CoV-2. Notably, fragments of Omicron variant were detected in WW samples prior to its first clinical detection in Botswana. Furthermore, we observed highly contagious sub-lineages of the Omicron variant, including BA.1 (similar to 28%), BA.1.X (1.0-72%), BA.2 (1.0-18%), BA.2.X (1.0-97.4%) BA.2.12 (0.8-0.25%), BA.2.38 (0.8-1.0%), BA.2.75 (0.01-0.02%), BA.3 (0.09-6.3%), BA.4 (0.24-0.29%), and XBB (0.01-21.83%), with varying prevalence rates. Overall, the present study demonstrated the practicality of WBE in the early detection of SARS-CoV-2 variants, which could help track future outbreaks of SARS-CoV-2. Such approaches could be implicated in monitoring infectious agents before they appear in clinical cases.

10aBioinformatics pipeline10aCOVID-1910aEarly warning10aIndia10aNext-generation sequencing10aOmicron10aPublic health10aSARS-CoV-210awastewater10aWastewater-based epidemiology1 aRajput, Vinay1 aPramanik, Rinka1 aMalik, Vinita1 aYadav, Rakeshkumar1 aSamson, Rachel1 aKadam, Pradnya1 aBhalerao, Unnati1 aTupekar, Manisha1 aDeshpande, Dipti1 aShah, Priyanki1 aShashidhara, L., S.1 aBoargaonkar, Radhika1 aPatil, Dhawal1 aKale, Saurabh1 aBhalerao, Asim1 aJain, Nidhi1 aKamble, Sanjay1 aDastager, Syed1 aKarmodiya, Krishanpal1 aDharne, Mahesh uhttps://library.ncl.res.in/content/genomic-surveillance-reveals-early-detection-and-transition-delta-omicron-lineages-sars-cov03415nas a2200193 4500008004100000245018700041210007000228260000800298300001100306490000700317520263500324100002302959700002102982700002003003700002303023700001703046700001903063856013903082 2025 eng d00aGenome mining of carbohydrate-active enzymes (CAZyme) and poly-γ-glutamic acid (γ-PGA) synthesis by Bacillus velezensis (WA11) directly from lignocellulosic biomass-based substrate0 aGenome mining of carbohydrateactive enzymes CAZyme and polyγglut cNOV a1037470 v693 a

Poly-γ-glutamic acid (γ-PGA/PGA), a non-toxic and biodegradable polymer with additional diverse properties such as higher heat resistance and water retention, is widely implicated in myriad applications, including agricultural and food processing, medical treatments, and cosmetics. The industrial bio-based production of γ-PGA is primarily hindered by the potential of microbial strains and substrate costs, which are attributed primarily to the carbon sources. The present study is a proof-of-concept study, wherein a bacterial isolate, Bacillus velezensis WA11 strain, was employed for the production of γ-PGA from sugarcane bagasse (lignocellulosic biomass) without any pretreatment or pre-processing. The CAZyme annotation identified several enzyme families involved in metabolizing complex polysaccharides, including cellulose, xylan, and lignin. We obtained 104.3 g/L γ-PGA production with a productivity of 1.09 g/L/h in the optimized synthetic medium containing maltose as a carbon source, 2.9-fold higher than the earlier study using maltose as a carbon source. Further, substituting maltose with untreated sugarcane bagasse resulted in 12 g/L of γ-PGA, higher than most of the reported studies utilizing pretreated lignocellulosic biomass (LCB) lysates for producing γ-PGA. The present study demonstrates the production of γ-PGA using lignocellulosic biomass without pretreatment, providing a chemical-free, sustainable avenue for directly utilizing untreated lignocellulosic biomass (LCB) to produce expensive polymers by employing potential bacterial strains.

1 aYadav, Rakeshkumar1 aAwathare, Pranay1 aShitut, Pushkar1 aMahajan, Vaishnavi1 aNair, Pranav1 aDharne, Mahesh uhttps://library.ncl.res.in/content/genome-mining-carbohydrate-active-enzymes-cazyme-and-poly-%CE%B3-glutamic-acid-%CE%B3-pga-synthesis