<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Rajput, Vinay</style></author><author><style face="normal" font="default" size="100%">Pramanik, Rinka</style></author><author><style face="normal" font="default" size="100%">Malik, Vinita</style></author><author><style face="normal" font="default" size="100%">Yadav, Rakeshkumar</style></author><author><style face="normal" font="default" size="100%">Samson, Rachel</style></author><author><style face="normal" font="default" size="100%">Kadam, Pradnya</style></author><author><style face="normal" font="default" size="100%">Bhalerao, Unnati</style></author><author><style face="normal" font="default" size="100%">Tupekar, Manisha</style></author><author><style face="normal" font="default" size="100%">Deshpande, Dipti</style></author><author><style face="normal" font="default" size="100%">Shah, Priyanki</style></author><author><style face="normal" font="default" size="100%">Shashidhara, L. S.</style></author><author><style face="normal" font="default" size="100%">Boargaonkar, Radhika</style></author><author><style face="normal" font="default" size="100%">Patil, Dhawal</style></author><author><style face="normal" font="default" size="100%">Kale, Saurabh</style></author><author><style face="normal" font="default" size="100%">Bhalerao, Asim</style></author><author><style face="normal" font="default" size="100%">Jain, Nidhi</style></author><author><style face="normal" font="default" size="100%">Kamble, Sanjay</style></author><author><style face="normal" font="default" size="100%">Dastager, Syed</style></author><author><style face="normal" font="default" size="100%">Karmodiya, Krishanpal</style></author><author><style face="normal" font="default" size="100%">Dharne, Mahesh</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Genomic surveillance reveals early detection and transition of delta to omicron lineages of SARS-CoV-2 variants in wastewater treatment plants of Pune, India</style></title><secondary-title><style face="normal" font="default" size="100%">Environmental Science and Pollution Research </style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Bioinformatics pipeline</style></keyword><keyword><style  face="normal" font="default" size="100%">COVID-19</style></keyword><keyword><style  face="normal" font="default" size="100%">Early warning</style></keyword><keyword><style  face="normal" font="default" size="100%">India</style></keyword><keyword><style  face="normal" font="default" size="100%">Next-generation sequencing</style></keyword><keyword><style  face="normal" font="default" size="100%">Omicron</style></keyword><keyword><style  face="normal" font="default" size="100%">Public health</style></keyword><keyword><style  face="normal" font="default" size="100%">SARS-CoV-2</style></keyword><keyword><style  face="normal" font="default" size="100%">wastewater</style></keyword><keyword><style  face="normal" font="default" size="100%">Wastewater-based epidemiology</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2023</style></year><pub-dates><date><style  face="normal" font="default" size="100%">DEC</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">30</style></volume><pages><style face="normal" font="default" size="100%">118976-118988</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;
	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.&lt;/p&gt;
</style></abstract><issue><style face="normal" font="default" size="100%">56</style></issue><work-type><style face="normal" font="default" size="100%">Article</style></work-type><custom3><style face="normal" font="default" size="100%">&lt;p&gt;Foreign&lt;/p&gt;
</style></custom3><custom4><style face="normal" font="default" size="100%">&lt;p&gt;
	5.8&lt;/p&gt;
</style></custom4></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Mahajan, Vaishnavi</style></author><author><style face="normal" font="default" size="100%">Samson, Rachel</style></author><author><style face="normal" font="default" size="100%">Dharne, Mahesh</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Genome mining, probiotic characteristics, and in-silico safety assessment of Limosilactobacillus fermentum AV7 isolated from Avocado fruit pulp</style></title><secondary-title><style face="normal" font="default" size="100%">LWT-Food Science and Technology</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2025</style></year><pub-dates><date><style  face="normal" font="default" size="100%">JAN</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">216</style></volume><pages><style face="normal" font="default" size="100%">117231</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;
	Limosilactobacillus fermentum holds substantial promise for probiotic applications in human health and various industries. Herein, we present the first report of L. fermentum AV7 isolated from the avocado pulp and assessed for its probiotic potentials and safety through probiogenomic analyses and In-vitro probiotic assays. The genomic insights revealed genes associated with acid and bile tolerance and antimicrobial peptide production, highlighting the probiotic potential of the strain AV7. Notably, the in-silico safety analysis showed that the genome of L.fermentum AV7 is devoid of plasmid and lacks any putative antibiotic resistance or pathogenic traits, ensuring its safety for human consumption. Beyond the genomic and in-silico analysis, we also aimed to evaluate the probiotic potentials of AV7 strain using in- vitro tests for acid, gastric juice, intestinal fluid and bile tolerance, resilience to osmotic stress, followed by auto-aggregation and co-aggregation assays with Escherichia coli ATCC 8739. The data obtained through in-vitro studies confirmed the efficacy of L.fermentum AV7 as a probiotic strain, and positions it as a potent probiotic candidate, expanding the scope of probiotic research. Our study investigates avocados, a nutrient-dense fruit, as a novel source of beneficial lactic acid bacteria, thereby attracting innovative dietary and therapeutic applications. By introducing L .fermentum AV7 into the probiotic landscape, we pave the way for new health benefits from this beloved fruit. The research not only adds a new dimension to avocado utilization but also contributes to the relatively unexplored field of isolating beneficial bacteria from avocados, promising exciting advancements in human health.&lt;/p&gt;
</style></abstract><work-type><style face="normal" font="default" size="100%">Article</style></work-type><custom3><style face="normal" font="default" size="100%">&lt;p&gt;
	Foreign&lt;/p&gt;
</style></custom3><custom4><style face="normal" font="default" size="100%">&lt;p&gt;
	6.0&lt;/p&gt;
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